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Indonesia-Japan Joint Scientific Symposium October 25–26, 2012 Chiba University, Japan IJJSS 2012 SPONSORS

Indonesia-Japan Joint Scientific Symposium October 25–26, 2012 Chiba University, Japan IJJSS 2012 ORGANIZATION

COMMITTEE Advisory Committee : Prof. Dr. Yasushi Saito Prof. Dr. Der Soz Gumilar Rusliwa Somantri Prof. Dr. Takeshi Tokuhisa Prof. Dr. Muhammad Anis

General Chairman : Prof. Dr. Koichi Ito Prof. Dr. Eko Tjipto Rahardjo

Steering Committee Prof. Dr. Akihide Kitamura, Graduate School of Engineering, Chiba University Prof. Dr. Kazuyo Ohashi, Graduate School of Science, Chiba University Prof. Dr. Shoji Tominaga, Graduate School of Advanced Integration Science, Chiba University Prof. Dr. Takato Koba, Graduate School of Horticulture, Chiba University Prof. Dr. Hiroaki Kuze, Center for Environmental Remote Sensing, Chiba University Prof. Dr. Michiko Takagaki, Field Science Center, Chiba University Prof. Dr. Bambang Sugiarto, Faculty of Engineering, Universitas Indonesia Prof. Dr. Ryoko Niikura, Center for International Research and Education, Chiba University

Technical Committee Prof. Dr. Shogo Shimazu, Faculty of Engineering, Chiba University Prof. Dr. Hirohisa Yaguchi, Graduate School of Advanced Integration Science, Chiba University Prof. Dr. Ryutaro Tateishi, Center for Environmental Remote Sensing, Chiba University Prof. Dr. Akihiko Kondoh, Center for Environmental Remote Sensing, Chiba University

Prof. Dr. Naoto Suzuki, Faculty of Engineering, Chiba University Prof. Dr. Takagaki, Faculty of Horticulture, Chiba University Prof. Dr. Nobuo Takeuchi, Center for Environmental Remote Sensing, Chiba University Prof. Dr. Yo Kohori, Faculty of Science, Chiba University Prof. Dr. Katsumi Hattori, Faculty of Science, Chiba University Dr. Josaphat Tetuko Sri Sumantyo, Center for Environmental Remote Sensing, Chiba University Dr. Koji Kamakura, Faculty of Engineering, Chiba University Prof. Dr. Dadang Gunawan, Faculty of Engineering, Universitas Indonesia Prof. Dr. Muhammad Nasikin, Faculty of Engineering, Universitas Indonesia Prof. Dr. Riri Fitri Sari, Faculty of Engineering, Universitas Indonesia Prof. Dr. Djoko Hartanto, Faculty of Engineering, Universitas Indonesia Prof. Dr. Kalamullah ramli, Faculty of Engineering, Universitas Indonesia Prof. Dr. Bagio Budiardjo, Faculty of Engineering, Universitas Indonesia Prof. Dr. Rudy Setiabudy, Faculty of Engineering, Universitas Indonesia Prof. Dr. Bondan Tiara Sofyan, Faculty of Engineering, Universitas Indonesia Dr. Muhamad Asvial, Faculty of Engineering, Universitas Indonesia Dr. Dodi Sudiana, Faculty of Engineering, Universitas Indonesia Dr. Fitri Yuli Zulkifli, Faculty of Engineering, Universitas Indonesia Dr. Rokhmatuloh, Faculty of Mathematics and Natural Sciences, Universitas Indonesia Dr. Wisnu Jatmiko, Faculty of Computer Sciences, Universitas Indonesia Dr. AAP. Ratna, Faculty of Engineering, Universitas Indonesia Dr. Basari, Faculty of Engineering, Universitas Indonesia Dr. Rokhmiati Sujai, Faculty of Letters, Universitas Indonesia Junaidi, SS., MA., Faculty of Letters, Universitas Indonesia

Local Committee Dr. Chiharu Hongo, Center for Environmental Remote Sensing, Chiba University Dr. Naoko Saito, Center for Environmental Remote Sensing, Chiba University Dr. Akira Katoh, Faculty of Horticulture, Chiba University Dr. Luhur Bayuaji, Center for Environmental Remote Sensing, Chiba University Dr. Hideto Fukazawa, Faculty of Science, Chiba University Dr. Hiroo Sekiya, Graduate School of Advanced Integration Science, Chiba University Dr. Yoshimasa Amano, Faculty of Engineering, Chiba University Dr. Yohandri, Graduate School of Advanced Integration Science, Chiba University

Bambang Setiadi, Graduate School of Advanced Integration Science, Chiba University Ratih Fitria Putri, Graduate School of Advanced Integration Science, Chiba University Takafumi Kawai, Graduate School of Advanced Integration Science, Chiba University Takahiro Miyazaki, Graduate School of Advanced Integration Science, Chiba University Kyohei Suto, Graduate School of Advanced Integration Science, Chiba University Adiya Sugar, Graduate School of Advanced Integration Science, Chiba University Peng Han, Graduate School of Science, Chiba University Rika Tsutsumi, Graduate School of Science, Chiba University

The 5th Indonesia Japan Joint Scientific Symposium (IJJSS) 2012 Nishichiba Campus, Chiba University, JAPAN 25 - 26 OCTOBER 2012

FINAL PROGRAM 25 OCTOBER 2012 (THU)

26 OCTOBER 2012 (FRI) ROOM A

ROOM B

ROOM C

IJJSS 2012 REGISTRATION (08:30-09:00) PLACE : ACADEMIC LINK, CHIBA UNIVERSITY LIBRARY International Exchange Center (IEC) Office opening ceremony (08:30-11:30) Place : KEYAKI KAIKAN 3rd FLOOR

MICROELECTRONIC AND ELECTRONIC DEVICE (09:00-09:50)

ENERGY AND POWER SYSTEM (09:00-10:05)

COMPUTER AND INFORMATION 1 (09:00-10:05)

IJJSSS 2012 REGISTRATION (11:00-11:30) PLACE : LECTURE HALL, FACULTY OF EDUCATION

Break (15 minutes)

Break (15 minutes)

Break (15 minutes)

IJJSS 2012 OPENING CEREMONY

AGRICULTURE 2 (10:05-11:25)

PHYSICS (10:20-11:25)

COMPUTER AND INFORMATION 2 (10:20-11:25)

(11:15-12.00) PLACE : LECTURE HALL, FACULTY OF EDUCATION

LUNCH TIME IJJSSS 2012 REGISTRATION (13:45-14:45) PLACE : ACADEMIC LINK, CHIBA UNIVERSITY LIBRARY ROOM A

ROOM B

ROOM C

REMOTE SENSING 1 (13:45-15:05)

URBAN ENVIRONMENT 1 (13:45-15:05)

Break (15 minutes)

REMOTE SENSING 2 (15:20-16:25)

IJJSS 2012 REGISTRATION (13:00-14:00) PLACE : ACADEMIC LINK, CHIBA UNIVERSITY LIBRARY

ROOM D

ROOM A

ROOM B

ROOM C

MEDICINE AND PHARMACY (13:45-14:50)

AGRICULTURE 1 (13:45-14:50)

ANTENNA, MICROWAVE & MOBILE COMMUNICATION 1 (13:00-14:20)

ENVIRONMENTAL SCIENCE 1 (13:00-15:20)

IMAGE, OPTICAL COMMUNICATION AND SIGNAL PROC. (13:00-14:05)

Break (15 minutes)

Break (15 minutes)

Break (15 minutes)

Break (15 minutes)

Break (15 minutes)

Break (15 minutes)

URBAN ENVIRONMENT 2 (15:20-16:25)

ENVIRONMENTAL CHEMISTRY (15:05 -17:10)

HOLTICULTURE (15:05-15:55)

MECHANICAL, METALLURGY AND MATERIALS ENG. (14:35-16:25)

ANTENNA, MICROWAVE & MOBILE COMMUNICATION 2 (15:35-16:40)

ENVIRONMENTAL SCIENCE 2 (14:20-16:40)

POSTER SESSION (17:00-18:00) Center for Environmental Remote Sensing (CEReS) 1st Floor

ROOM A ROOM B ROOM C ROOM D

: MULTIMEDIA ROOM - JINBUN SHAKAI KEI BUILDING 2nd FLOOR : ACADEMIC LINK 1 Floor - CHIBA UNIVERSITY LIBRARY : ACADEMIC LINK 3 Floor - CHIBA UNIVERSITY LIBRARY : ROOM 102 - Center for Environmental Remote Sensing (CEReS) BUILDING 1st FLOOR

BANQUET (18:00-19:00) Colza, Keyaki Kaikan Hall 1st Floor

THURSDAY, 25 October 2012 (13:45 - 17:00) ORAL SESSION ID

Time (Duration)

TITLE ROOM A REMOTE SENSING 1 Chair : TBD Assessment of fully polarimetric POLSAR Remote Sensing & Geophysical Stress-change Monitoring for implementing Equatorially Orbiting Satellites over Indonesia

AUTHORS

RS01 (Invited)

13:45-14:05 (20 min)

RS02

14:05-14:20 (15 min) 14:20-14:35 (15 min)

Development of Synthetic Aperture Radar onboard Unmanned Josaphat Tetuko Sri Sumantyo Aerial Vehicle Remote Sensing and GIS Technology for Investigating Land Andung Bayu Sekaranom, Fitria Nucifera, Muh Aris Marfai Subsidence Impact in Demak Coastal Area-Indonesia

RS04

14:35-14:50 (15 min)

IDENTIFYING VOLCANIC ROCKS USING GEOMORPHOLOGIC AND Asep Saepuloh, Asep Saepuloh, Minoru Urai, Luhur Bayuaji, STRUCTURAL FEATURES OF POLARIMETRIC SAR DATA Prihadi Sumintadireja, Emmy Suparka

RS05

14:50-15:05 (15 min)

PLANIMETRIC ACCURACY ASSESSMENT OF HIGH RESOLUTION IMAGE BY GOOGLE EARTH FOR BASE MAP AT SCALE 1:10000IN THE DISTRICT OF EAST BANJAR, BANJARMASIN CITY

RS03

RS06 (Invited)

15:20-15:40 (20 min)

RS07

15:40-15:55 (15 min)

RS08

15:55-16:10 (15 min)

RS09

16:10-16:25 (15 min)

UE01 (Invited) UE02

13:45-14:05 (20 min) 14:05-14:20 (15 min)

UE03

14:20-14:35 (15 min)

UE04

14:35-14:50 (15 min) 14:50-15:05 (15 min)

UE05

UE06 (Invited)

15:20-15:40 (20 min)

Wolfgang-Martin Boerner, Jorge Javier Morisaki

Noorlaila Hayati, Muhammad Taufik

Break (15 Minutes) REMOTE SENSING 2 Chair : TBD ACTIVE AND PASSIVE REMOTE SENSING APPROACHES FOR THE Hiroaki Kuze CHARACTERIZATION OF OPTICAL PROPERTIES OF THE ATMOSPHERE LANDSLIDE POTENTIAL ANALYSIS USING MODIS LAI/FPAR Dodi Sudiana, Endriadi Rukmana PRODUCT DATA. CASE STUDY: EASTERN INDONESIA PREDICTION OF GEOTHERMAL MANIFESTATIONS AREA USING ASTER IMAGERY IN NORTH SUKABUMI, WEST JAVA, INDONESIA CHANGES PATTERN OF SPACE UTILIZATION FOR URBAN HEAT ISLAND PHENOMENA PREDICTION (CASE STUDY IN TANGERANG MUNICIPALITY)

Ibni Sabil A. Z. M., Fidelis Awig Atmoko, Miqdad Anwarie, Wido Cepaka Warih Adi Wibowo, Iqbal Putut Ash Sidiq, Andry Rustanto

ROOM B URBAN ENVIRONMENT 1 Chair : TBD APPROPRIATE TECHNOLOGIES FOR REGIONAL DEVELOPMENT Mitsuteru Irie Design Learning Through Participatory Method on Improvement Sanitation Facility Project in CIkini Kramat Area, Central Jakarta THREE BUILT ENVIRONMENT SCENARIOS FOR THE FUTURE OF HIGHDENSITY KAMPUNG IN CENTRAL JAKARTAIN CONTEXT OF STRATEGIC APPROACH TO MANAGE MEGACITIESPRAGMATICALLY Scoring Urban Spaces in an Indonesian City Based on Biodiversity QUESTIONNAIRE SURVEY BASED EARTHQUAKE DAMAGE ESTIMATION IN KATHMANDU VALLEY OF NEPAL Break (15 Minutes) URBAN ENVIRONMENT 2 Chair : TBD GIS BASED EVACUATION PLANNING FOR EARTHQUAKE PREPAREDNESS IN KATHMANDU, NEPAL

Achmad Hery Fuad , Joko Adianto

Yuki Yoshikata, Ou ueno, Tomohiro Amemiya, Akiko Okabe

Hari Iswoyo, Brenda Vale, Martin Bryant Pralhad Uprety, N. P. Bhandary, R. Yatabe

Pralhad Uprety, N. P. Bhandary, R. Yatabe

UE07

15:40-15:55 (15 min)

UE08

15:55-16:10 (15 min)

UE09

16:10-16:25 (15 min)

MP01 (Invited) MP02

13:45-14:05 (20 min) 14:05-14:20 (15 min)

MP03

14:20-14:35 (15 min)

MP04

14:35-14:50 (15 min)

EC01 (Invited) EC02

15:05-15:25 (20 min) 15:25-15:40 (15 min)

EC03

15:40-15:55 (15 min)

EC04

15:55-16:10 (15 min)

EC05

16:10-16:25 (15 min) 16:25-16:40 (15 min)

EC06

EC07 EC08

16:40-16:55 (15 min) 16:55-17:10 (15 min)

AG01 (Invited) AG02

13:45-14:05 (20 min) 14:05-14:20 (15 min)

AG03

14:20-14:35 (15 min)

AG04

14:35-14:50 (15 min)

DENGUE HAEMORRHAGIC FEVER (DHF) AND ENVIRONMENTAL Fitria Nucifera, Andung Bayu Sekaranom, Emilya Nurjani CHARACTERISTICS(CASE STUDY: DHF IN YOGYAKARTA, INDONESIA) SHAPE EFFECTS OF SHALLOW FOUNDATION REINFORCED WITH Ria Asih Aryani Soemitro, Trihanyndio Rendy Satrya, Dwa Desa BUIS CONCRETE ON SETTLEMENT DUE TO STATIC AND Warnana, Kumara Bagus Raditya W, Muh. Ferdi Darwis, Marlini DYNAMIC LOADING(MODELING AT LABORATORY) ASSESSMENT STUDY OF DRYING-WETTING CYCLE ON DYNAMIC Trihanyndio Rendy Satrya, Ria Asih Aryani Soemitro, PROPERTY OF UNSATURATED EXPANSIVE CLAY SOIL STABILISED Mohammad Muntaha, Tommy, Rano Adex BY FLY ASH MATERIAL USING BENDER ELEMENT APPARATUS

ROOM C MEDICINE AND PHARMACY Chair : TBD Acquisition and Analysis of Dynamic 3D Medical Image Hideaki Haneishi LEVEL OF ALANINE AMINOTRANSFERASE(ALT) AND URIC ACID Salmah Orbayinah, Emi tri Siswanti IN THE FEMALE WHITE RATS (WISTAR GROOVE) BLOOD WHICH IS GIVEN BY CHRONIK AND ACUTE ALKOHOL STUDY OF HESPERIDIN AS PREVENTIVE RESISTANCE AGENT IN Rifki Febriansah, Aries Nurulita, Agung Endro Nugroho, Edy MCF-7 BREAST CANCER CELLS LINE RESISTANCE TO Meiyanto DOXORUBICIN OPTICAL CHARACTERIZATION OF PATIENT'S BLOOD IN DENGUE Cholid Badri, Nurhadi Ibrahim, Dias Rima Sutiono, HEMORRHAGIC FEVER AND TYPHOID FEVER Rahmapuspita Break (15 Minutes) ENVIRONMENTAL CHEMISTRY Chair : TBD Removal of pollutants from aqueous solutions using various Motoi Machida, Yoshimasa AMANO activated carbons ADSORPTION PROPERTIES OF ORGANIC COMPOUNDS WITH Shohei OISHI, Yoshimasa AMANO, Motoi MACHIDA DIFFERENT SIZES ON ACTIVATED CARBONS WITH DIFFERENT PORE DIAMETERS WATER VAPOR ADSORPTION-DESORPTION OF BAMBOO-BASED Rui Wang, Yoshimasa Amano, Motoi Machida ACTIVATED CARBONS WITH VARIOUS STRUCTURAL AND SURFACE CHARACTERISTICS EFFECTS OF NITROGEN CONCENTRATION ON THE GROWTH, Kosei TAKAHASHI, Yoshimasa AMANO, Motoi MACHIDA UPTAKE, ANDCOMPETITION BETWEEN MICROCYSTIS AERUGINOSA AND CYCLOTELLA SP. Green Fluorescence from Yb:YAG Crystal Excited by Infrared Nobuo Takeuchi, Eiichiro Nakazawa, Takunori Taira, Hiroaki Wavelength Kuze EFFECTS OF ACIDIC FUNCTIONAL GROUPS OF ACTIVATED Hiroaki Yoshida, Yoshimasa Amano, Louis Mercier, Motoi CARBON AND MESOPOROUS SILICA AND POLARITY OF Machida ADSORBATE ON ADSORPTION CHARACTERISTIC OF AROMATIC COMPOUNDS EFFECTS OF HYDROPHOBIC NANOSPACES ON STRUCTURES OF Hirofumi KANOH, Koki TAKENAKA, Tomonori OHBA, Kazuo LYSOZYME TAKEI, Kuniko AKAMA MECHANISMS ON THE TRANSITION OF DOMINANCE SPECIES Ryohei TAKEUCHI, Yoshimasa AMANO and Motoi MACHIDA BETWEEN SCENEDESMUS QUADRICAUDA AND MICROCYSTIS AERUGINOSA IN EUTROPHIC CONDITION ROOM D AGRICULTURE 1 Chair : TBD Research collaboration with Indonesia and South East Asia "Cip cup tea"; Tea Bags Ciplukan Physalis angulata l), Instant Beverage Product Innovations for People with Diabetes mellitus STUDY OF WATER CONSUMPTION, GROWTH RESPONSES AND PRODUCTION OF TWO RICE VARIETIES IN DIFFERENT IRRIGATION SYSTEMS GROWTH AND YIELD OF SRI (SYSTEM OF RICE INTENSIFICATION) PADDY

Inubushi Kazuyuki Ridho Andika Putra

Ahmad Rifqi Fauzi, Ahmad Junaedi, Iskandar Lubis, Hiroshi Ehara Gede Menaka Adnyana, I Nyoman Rai, Made Sudiana Mahendra

HT01 (Invited)

15:05-15:25 (20 min)

HT02

15:25-15:40 (15 min) 15:40-15:55 (15 min)

HT03

Break (15 Minutes) HORTICULTURE Chair : TBD Identification of dominant loci in the interspecific hybridization ofCapsicum annuum x C. frutescens revealed by RAPD Estimating of RAPD marker Associated to color gene in Zinnia elegans Jacq. SCREENING FOR SALINITY TOLERANCE IN SHALLOT (Allium cepa L. Aggregatum group) AND WAKEGI ONION (A. x wakegi Araki)

Aziz Purwantoro, Irifan Binawa, Christina Astri

Tumiur Gultom, Aziz Purwantoro, Endang Sulistiyaningsih, Nasrullah Endang Sulistyaningsih, Astuty Sariningtyas, Aziz Purwantoro, Nasrullah

FRIDAY, 26 October 2012 (09:00 - 12:00) ORAL SESSION ID

Time (Duration)

TITLE

AUTHORS

ME01 (Invited)

09:00-09:20 (20 min)

ROOM A MICROELECTRONICS AND ELECTRONIC DEVICE Chair : TBD DESIGN OF CONCURRENT QUADBAND BANDPASS FILTER USING Gunawan Wibisono, Daniel Simanjuntak, Teguh Firmansyah, LUMPED COMPONENTS FOR m-BWA Taufiq Alif K, Toto Supriyanto, Hsiao-Chin Chen

ME02

09:20-09:35 (15 min) 09:35-09:50 (15 min)

DESIGN OF 16 TO 1 MULTIPLEXER IC USING HIGH SPEED CMOSTECHNOLOGY GAIN PERFORMANCE ANALYSIS OF INDUCTIVE SOURCE DEGENERATION AMPLIFIER IN 0.18-µm CMOS TECHNOLOGY

ME03

Eka Maulana, M Julius St, R Arief Setyawan, Ceri A, Tito Panca N Taufiq Alif Kurniawan, Gunawan Wibisono, Hsiao-Chin Chen, Chia-Yu Yao

Break (15 Minutes) AGRICULTURE 1 Chair : TBD AG05 (Invited) AG06

10:05-10:25 (20 min) 10:25-10:40 (15 min)

Precision Forestry in Tropical Countries

Akira Kato

THE APPLICATION OF MISTING PERIOD ON OYSTER MUSHROOM (Pleurotus ostreatus) IN THE LOWLAND AREAS

Ni Nyoman Ari Mayadewi, Made Sudiana Mahendra, I Nyoman Rai

AG07

10:40-10:55 (15 min)

I Made Sukewijaya, Made Sudiana Mahendra, I Nyoman Rai

AG08

10:55-11:10 (15 min)

AG09

11:10-11:25 (15 min)

PHENOTYPIC AND AGRONOMIC CHARACTERS IDENTIFICATION OF BALI WANI (Mangifera caesia Jack.) AS A BASE OF THE PRODUCTION DEVELOPMENT ZERO WASTE FARMING AS FUEL OIL AND NATURAL GAS SUBSTITUTIONS AND UNEMPLOYMENT SOLUTION IN MARGAASIH AND NARAWITA VILLAGES, CICALENGKA, BANDUNG. THE MEANING OF SUCCESS IN THE FARMER COMMUNITY EMPOWERMENT

EP01 (Invited) EP02 EP03

09:00-09:20 (20 min) 09:20-09:35 (15 min) 09:35-09:50 (15 min)

PH01 (Invited)

10:05-10:25 (20 min)

PH02

10:25-10:40 (15 min) 10:40-10:55 (15 min) 10:55-11:10 (15 min)

PH03 PH04

CI01 (Invited)

09:00-09:20 (20 min)

Nurfaridah, Achmad Khoibar Tridakusuma

Indardi

ROOM B ENERGY AND POWER SYSTEM Chair : TBD ENERGY SAVING AND LOAD LEVELING TECHNOLOGIES Kondoh Keiichiro ON MOVILE APPLICATIONS UNDERSTANDING THE MAGNETOTELLURIC METHOD IN Rivan Tri Yuono GEOTHERMAL EXPLORATION Geothermal Potential and Its Exploration in Indonesia Desy Rhobiatul Adhawiyah, dwi fortuna anjusa putra, abdul karim Break (15 Minutes) PHYSICS Chair : TBD VARIOUS MAGNETIC PROPERTIES IN Darminto BSCCOSUPERCONDUCTORS: FROM BULK STATE TO NANOSIZEDCRYSTAL ANALYSIS OF THE INITIAL PHASE OF P-WAVE FOR INDONESIA HENDAR GUNAWAN, NANANG T. PUSPITO EARTHQUAKE EARLY WARNING RAPID INFORMATION OF MACRO-SEISMIC INTENSITY MAP FOR HENDAR GUNAWAN, NANANG T. PUSPITO EARTHQUAKE EARLYWARNING PHYSICAL PRINCIPLES OF NON-INVASIVE CANCER TREATMENT: Dandi Hambali, nurdina gita pratiwi, wuri handayani HIFU THERAPY ROOM C COMPUTER AND INFORMATION 1 Chair : TBD A unified Cloud Service Ontology for Scientific Applications Nick A. Tahamtan, A. Anjomshoaa and A.M. Tjoa

CI02 CI03 CI04

09:20-09:35 (15 min) 09:35-09:50 (15 min) 09:50-10:05 (15 min)

Leukocyte Recognition using Window Cropping and CoLina, Arlends Chris, Bagus Mulyawan occurrence Matrix Method WEB-GIS APPLICATION FOR PUBLIC TRANSPORT INFORMATION Muhammad Iqnaul Haq, Rendra Ady Wijaya, Imam Santoso IN YOGYAKARTA CITY Encrypting Text Into Image With MATLAB Indra Riyanto, Muhammad Syahid Adam

CI05 (Invited)

10:20-10:40 (20 min)

Break (15 Minutes) COMPUTER AND INFORMATION 2 Chair : TBD Comparison of Similar Word Searching Algorithm to Improve Anak Agung Putri Ratna, Rizka Haifa, Meirisal Dwi Waldi, Prima Performance of SIMPLE-O Essay Grading System Dewi Purnamasari

CI06

10:40-10:55 (15 min)

CLASSIFICATION OF THE QUALITY OF URANIUM GREEN PELLETS Rozandi Prarizky, Benyamin Kusumoputro BASED ON IMPROVED LEVENBERG-MARQUARD ALGORITHM

CI07

10:55-11:10 (15 min)

MOBILE SYSTEM TO SUPPORT FLOOD AREA INFORMATION DISTRIBUTION.CASE STUDY: CENTRAL JAKARTA AREA

CI08

11:10-11:25 (15 min)

SPOT-4 Imagery Metadata Conversion For National Institute Of Sulis Darmanto, Syamsul Abbas Ras, Indra Riyanto Aeronautics And Space Remote Sensing Technology And Data Laboratory

Wihartini, Wahyu Pramusinto, Indra Riyanto

FRIDAY, 26 October 2012 (13:00 - 17:00) ORAL SESSION ID

AM01 (Invited) AM02 AM03 AM04 AM05

Time (Duration)

13:00-13:20 (20 min) 13:20-13:35 (15 min) 13:35-13:50 (15 min) 13:50-14:05 (15 min) 14:05-14:20 (15 min)

TITLE

AUTHORS

ROOM A ANTENNA, MICROWAVE AND MOBILE COMMUNICATION 1 Chair : TBD PERFORMANCE OF A SMALL HELICAL DIPOLE ANTENNA FOR Eko Tjipto Rahardjo, Basari, Dwyan Zakaria, Fitri Yuli Zulkifli UHF BAND COMMUNICATIONS GAIN ENHANCEMENT MICROSTRIP ANTENNA BY USING Fitri Yuli Zulkifli, Taufal Hidayat, Basari, Eko Tjipto Rahardjo HAMMER HEAD STUB FEEDING TECHNIQUE AN OPTIMIZED INTERNAL L-DIPOLE ANTENNA FOR DIGITAL TV Nurmayanti Zain, Elyas Palantei RECEIVER SIMPLE AND LOW COST DESIGN OF RF PASSIVE COMPONENTS Danang Santoso, Elyas Palantei, Merna Baharuddin, Ade FOR GPS APPLICATION Chandra BANDWIDTH ENHANCEMENT AND SIZE REDUCTION OF WLAN Achmad Munir, Sutinah, Chairunnisa PATCH ANTENNA USING METAMATERIALS Break (15 Minutes) MECHANICAL, METALLURGY AND MATERIALS ENGINEERING Chair : TBD EFFECT OF CALCINATION HOLDING TIME ON THE BARIUM MMochamad zainuri, Findah R. S, Irwan R HEXAFERRITE (BaFe12-xZnxO19) MAGNETIC PROPERTIES WITH DOPING Zn ION CARS MEASUREMENT OF N2 ROTATIONAL/VIBRATIONAL Shirota Daiki, Venigalla Hima Bindu, Oguro Masashi, Eto TEMPERATURES AROUND WEDGE MODEL IN THE FLOW Wataru, Ota Masanori, Maeno Kazuo BEHIND HYPERVELOCITY SHOCK WAVE APPLICATION OF HIGH-SPEED CAMERA TO 4D-LICT DENSITY Aratani Tomomi, Inage Tatsuro, Miwa Yoshihiro, Ota Masanori, MEASUREMENT OF UNSTEADY SHOCK-VORTEX FLOW Maeno Kazuo DISCHARGED FROM TWO INCLINED AND CYLINDRICAL HOLES

MM01 (Invited)

14:35-14:55 (20 min)

MM02

14:55-15:10 (15 min)

MM03

15:10-15:25 (15 min)

MM04

15:25-15:40 (15 min) 15:40-15:55 (15 min)

Parallel Natural Convection Simulation on GPU Using Lattice Adhika Widyaparaga, Pranowo Boltzmann Method VISUALIZATION OF JET-PLANE WALL INTERACTION UNDER LOW Kawakami Hiroshi, Takatuka Yuki, Maeno kazuo PRESSURE CONDITIONS BY I2-LIF MEASUREMENT

MM06

15:55-16:10 (15 min)

IMPROVEMENT OF THREE-DIMENSIONAL BOS DENSITY MEASUREMENT FOR SUPERSONIC WIND TUNNEL FLOWS

Yusuke KIKUMA, Xiao Shen, Masanori Ota, Kazuo MAENO

MM07

16:10-16:25 (15 min)

COMPARATIVE SYNTHESIS OF Pb AND Ni ? DOPED MULTIFERROIC BiFeO3 BY CO-PRECIPITATION, LIQUID MIXING AND SOL-GEL METHODS

Muhammad Ghufron, Darminto

MM05

ES01 (Invited)

13:00-13:20 (20 min)

ES02

13:20-13:35 (15 min)

ES03

13:35-13:50 (15 min) 13:50-14:05 (15 min)

ES04

ES05

14:05-14:20 (15 min)

ROOM B ENVIRONMENTAL SCIENCE 1 Chair : TBD SEA WATER QUALITY IN MARINE TOURISM AREA OF SOUTH Made Sudiana Mahendra, I Wayan Budiarsa Suyasa, Abd. BALI ISLAND COASTAL AREAS; A CASE STUDY IN SANUR, KUTA Rahman As-syakur AND NUSA DUA MODELING OF PYROCLASTIC FLOW BY USING TITAN2D TO Herlan Darmawan, Junun Sartohadi, Kirbani Sri Brotopuspito PREDICT PYROCLASTIC HAZARD ZONE IN MERAPI VOLCANO AFTER 2010 ERUPTION Analysis of forest and land fires in Riau Province based on the Prayoto use of land for mitigation of smoke disaster Implementation of Integrated Coastal Zone Management Agam Rafsanjani (ICZM) on Southern Area of Java Island (Case Study: Sadeng Coastal Area, Gunung Kidul) EFFECT OF TYPE OF ELECTRODE AND DISTANCE BETWEEN ANGELINA PUSPITA SANDY, Evy Hendriarianti, Made Sudiana ELECTRODES IN CONTINOUS FLOW MONOPOLAR Mahendra ELECTROCOAGULATION SYSTEM FOR REMOVAL OF COD AND TSS IN LAUNDRY WASTEWATER

ES06

14:20-14:35 (15 min)

ES07

14:35-14:50 (15 min)

ES08

14:50-15:05 (15 min)

GIS and Remote Sensing Integration To Mitigate Seismic Data Acquisition Activities; A Case Study of Sumatra, Indonesia

ES09

15:05-15:20 (15 min)

AM06 (Invited) AM07

15:35-15:55 (20 min) 15:55-16:10 (15 min) 16:10-16:25 (15 min)

The Impact of Land Cover Changes to Bed Morphology of Elgodwistra Kartikoputro Mrica Reservoir, Central Java Break (15 Minutes) ANTENNA, MICROWAVE AND MOBILE COMMUNICATION 2 Chair : TBD IMPROVING THE ERROR PERFORMANCE OF VARIOUS CLIPPED- Dadang Gunawan, Filbert H. Juwono OFDM SYSTEMS CAPACITOR-BASED RECONFIGURABLE FILTER FOR 2.4GHz Hardy Lukius, Mohammad Sigit Arifianto, Achmad Munir WLAN, UWB, AND UPLINK GSM-900 RESEARCH AND DEVELOPMENT OF A FM-CW RADAR FOR LOW Mashury Wahab, Daday Ruhiyat, Suhana Hermana, Asep Yudi ALTITUDE AIR SURVEILLANCE Hercuadi

AM08

IP01 (Invited)

13:00-13:20 (20 min)

IP02

13:20-13:35 (15 min) 13:35-13:50 (15 min)

IP03

IP04

13:50-14:05 (15 min)

ES10 (Invited)

14:20-14:40 (20 min)

ES11

14:40-14:55 (15 min)

ES12

14:55-15:10 (15 min)

ES13

15:10-15:25 (15 min) 15:25-15:40 (15 min)

USING CELLULOLYTIC BACTERIA FROM THE GUT OF GOURAMI Rena Nurul Ummah, Tyas Ismi Trialfhianty, Dewi Kusumasati, (Osphronemus gouramy Lac.) AS A BIODEINKING AGENT IN Yunita Dwi Setyorini RECYCLE PAPER PROCESS, FIRST STEP FOR SAVING THOUSAND TREES STUDY ON PREDICTION OF BACKFLOW (BACK WATER) IN Marfidha Dian Ayu Iswandari, Mira Anantha Yosilia BOGOWONTO ESTUARY, PURWOREJO DISTRICT, CENTRAL JAVA PROVINCE, INDONESIAUSING MATHEMATICAL MODEL

ROOM C IMAGE, OPTICAL COMMUNICATION AND SIGNAL PROCESSING Chair : TBD PORTABLE PHYTOPLANKTON COUNTER BASED ON Retno Wigajatri Purnamaningsih, Nining B Prihantini FLUORESCENCE AND ABSORPTION FOR MEASURING PHYTOPLANKTON SUSPENSION CONCENTRATION APPLICATION OF CONCENTRIC CIRCLE METHOD A.Kusumawardhani, H. Setijono, M. T. Nurismu, Irwansyah, FORDETECTION OF REAR-VIEW MIRROR DISTORTION Sekartedjo A LOAD SENSOR BASED ON SINGLEMODE-MULTIMODESekartedjo, R. Kuntaraco, S. Haryo, A. M. Hatta, C. A. SINGLEMODE FIBER STRUCTURE FOR WIIGH-IN-MOTION Prastyanto, I. B. Mochtar SYSTEM AN EXPERIMENTAL INVESTIGATION OF A SINGLEMODEHeru Setijono, A. M. Hatta, H. E. Permana, A. Kusumawardhani, MULTIMODE-SINGLEMODE FIBER STRUCTURE FOR A STRAIN Sekartedjo MEASUREMENT USING AN OPTICAL TIME DOMAIN REFLECTOMETER INTERROGATION TECHNIQUE Break (15 Minutes) ENVIRONMENTAL SCIENCE 2 Chair : TBD Ionospheric Anomalies Possibly Associated with Large Katsumi HATTORI, Takashi ICHIKAWA, Shinji HIROOKA, JannEarthquakes: Statistical Study and Case Study for the 20110311 Yenq LIU M9 Earthquake THE DISTRIBUTION OF INTERNAL WAVES IN THE LOMBOK I Wayan Gede Astawa Karang, Fumihiko Nishio STRAIT AREA STUDIED BY MULTI-SENSOR SATELLITE IMAGES

ES15

15:40-15:55 (15 min)

ASIA VLF OBSERVATION NETWORK (AVON) SYSTEM FOR MONITORING THE LOWER IONOSPHERE AND LIGHTNING IN INDONESIA Effect of Environmental Degradation on Animal Diversity in Bali, Indonesia STUDY OF TIDAL FLOOD INUNDATION BASE ON LAND SUBSIDENCE AND SEA LEVEL RISE EFFECT USING GEOSTATISTIC AND CELL BASED MODELING METHODS IN SEMARANG, CENTRAL JAVA, INDONESIA OPTICAL/PHYSICAL PROPERTIES OF TROPOSPHERIC AEROSOLS MEASURED BY HYPERSPECTRAL VIDEO CAMERA

ES16

15:55-16:10 (15 min)

Dengue and Weather in Indonesia; A Comparison Between Cities.

ES14

Manahan Kristian Sihotang, I Setiaji Ronoatmojo, Ryutaro Tateishi

Hiroyo Ohya, Tsuchiya Fuminori, Yamashita Kozo, Takahashi Yukihiro, Shiokawa Kazuo, Miyoshi Yoshizumi, Nakata Hiroyuki

Titik Respati, Wanti, Ardini Raksanagara, Henni Djuhaeni, Asep Sofyan

I Wayan Kasa Muhammad Helmi, Subandono Diposaptono, Agus Hartoko, Denny Nugroho Sugianto

Naohiro Manago, Hayato Saito, Yusaku Mabuchi, Yohei Takara, Makoto Suzuki, Hiroaki Kuze

THURSDAY, 25 October 2012 (17:00-1800) POSTER SESSION ID P01

TITLE

AUTHORS

THE ABILITIES OF PHYLLOPLANE BACTERIA FROM TOMATO AND COGON GRASS LEAVES TOSUPPRESS POWDERY MILDEW DISEASE (Oidium sp.) ON TOMATO. THE APPLICATION OF ORGANIC FERTILIZERS (STRAW COMPOST + BIOFERTILIZER) TO INCREASE THE EFFECTIVENESS OF INORGANIC FERTILIZER (N, P, K), PLANT GROWTH AND YIELD PRODUCTION OF CIHERANG LOWLAND RICE VARIETY BASED ON IPAT-BO CULTIVATION TECHNIQUE EFFECTIVITY OF PHOSPHATE SOLUBILIZING MICROBE TO REDUCE THE RATE OF INORGANIC P FERTILIZER ON LOWLAND RICE GROWTH

Khoirunnisa Qisthi Syahida, Noor Istifadah

P04

AGRO-TOURISM DEVELOPMENT BASED ON ENVIRONMENTCONCEPT IN PONCOKUSUMO VILLAGE, MALANG, EAST JAVA,INDONESIA

Tedy Agvita Qurota A'yun, Ahmad Bayhaqi, Luh Irma Irviani, Shinta Hiflina Yuniari

P05

MICROSTRIP ANTENNA DUALBAND WITH SLOT AND PARTIAL GROUND PLANE 2.1GHz CONFORMAL MICROSTRIP ANTENNA FOR AIR VEHICLE APPLICATION Design of An Implantable Folded Antenna of 2.4 GHz for In-Body Wireless Communication CHARACTERISTIC OF PRINTED LOG-PERIODIC FRACTAL KOCH ANTENNA AS INFLUENCE OF NUMBER OF ITS ELEMENTS A LOW SIDELOBE LEVEL ARRAY ANTENNA FOR CP-SAR SENSOR CIRCULARLY POLARIZED MICROSTRIP ARRAY ANTENNAS USING SEQUENTIAL ROTATION FEEDING NETWORK FOR GPS-SAR SYSTEM INSTALLED ON UNMANNED AERIAL VEHICLE Dual-mode Antenna for Body-Centric Wireless Communications

Arwidya Tantri Agtusia , Fitri Yuli Zulkifli, Eko Tjipto Raharjo

IMPLEMENTATION OF MULTI CRITERIA DECISION MAKING IN A VERTICAL HANDOVER FOR A WIRELESS HETEROGENEOUS NETWORK ENVIRONMENT TESTING AND DETECTING OF FAULTY LINKS INSIDE THE NETWORK ON CHIP SWITCHES ERROR CORRECTION IN GEOMETRIC METHOD OF 3D GAZE MEASUREMENT USING SINGULAR VALUE DECOMPOSITION Current distortion characteristics of a single and simultaneous operated load in the frequency range of 2-150 kHz FREQUENCY CONTROL HARDWARE SYSTEM ON WIRELESS POWER TRANSFER USING MAGNETIC COUPLING RESONANCE EFFECTIVENESS OF DOMESTIC WASTEWATER TREATMENT AT DENPASAR WASTEWATER INSTALLATION CENTER THE EFFECT OF CONCENTRATION AND SOAKING PERIODE IN POTASSIUM CARBONATE (K2CO3) SOLUTION ON DEGRADATION OF TANNIN CONTENT IN MILLED RED SORGHUM RICE (SORGHUM BICOLOR ( L.) MOENCH) VARIETY OF FETERITA.

Gita Mahardhika, Mahamod Ismail, Rosdiadee Nordin

Mapping of Potential Natural Resources at Caldera of Mount Batur Area in Bali CARBON STOCK ESTIMATION OF PEATLAND USE ALOS PALSAR IN KAMPAR PENINSULA, RIAU PROVINCE, INDONESIA ENTOMOLOGY SURVEILLANCE AFTER MOSQUITO CONTROL PROGRAM; A SURVEY OF HOUSE INDEX (HI), BRETEAU INDEX (BI) AND CONTAINER INDEX (CI) IN AREA WITH DENGUE CASES IN BANDUNG, INDONESIA MARINE FISHERIES OPERATING SYSTEM ROOM THAT AIMS TO MAKE INDONESIA SUSTAINABLE FISHERIES SECTOR AND MORE ADVANCED FOR WELFARE OF THE COMMUNITY

I Gede Budiarta, Made Sudiana Mahendra, I Wayan Budiarsa Suyasa

P02

P03

P06 P07 P08 P09 P10

P11 P12

P13 P14 P15 P16 P17 P18

P19 P20 P21

P22

Tien Turmuktini, ania citraresmini, betty natalie, hersanti, yuyun yuwariah, benny joy, tualar simarmata

Mutiara Dewi Puspitawati, Sugiyanta, Iswandi Anas

Cahya Edi Santosa, Eka Kurnia Sari, Achmad Munir HOYU Lin, Masaharu TAKAHASHI, Kazuyuki SAITO, Koichi ITO1 Achmad Munir, Dida Tuhu Putranto, Devy Freshia, Chairunnisaa Yohandri, Josaphat Tetuko Sri Sumantyo Takafumi Kawai, Takuji Ebinuma, J.T.Sri Sumantyo

Chia-Hsien Lin, Kazuyuki Saito, Masaharu Takahashi, Koichi Ito

Takieddine SBIAI, Wenpo ZHANG, Kazuteru NAMBA, Masato KITAKAMI Sunu Wibirama, Kazuhiko Hamamoto Budi Sudiarto, Holger Hirsch, Dodi Sudiana Eko Adhi Setiawan, Arriyadhul Qolbi, Dodi Sudiana NI PUTU VIVIN NOPIANTARI Marsetio, Saripah Hudaya

Miqdad Anwarie, Fidelis Awig Atmoko, Ibni Sabi A. Z. M, Abdul Aziz Titik Respati, Rizqi Kurnia, Budiman

Rizal Babil Yasari Akbar, Rizal Babil Yasari Akbar

P23 P24 P25

P26

P27

P28 P29 P30 P31

P32 P33 P34 P35 P36 P37 P38 P39

P40

P41

P42

P43 P44 P45

P46 P47

P48

THE GROWTH AND SURVIVAL RATE OF GOLDFISH FRYCULTIVATED IN A MEDIA CONTAINING BATIK WASTE BASE CHIRP GENERATOR FOR UNMANNED AERIAL VEHICLE SYNTHETIC APERTURE RADAR SYSTEM TOTAL PRESSURE MEASUREMENT BY USING PITOT TUBE IN HYPERSONIC SHOCK TUNNEL WITH DIAPHRAGMLESS DRIVER SECTION

Siti Rudiyanti Kyohei Suto Hirose Yusuke, Udagawa Shinsuke, Inage Tatsuo, Ota Masanori, Maeno Kazuo

The Effect of Buah Merah (Pandanus conoideus Lamk.) Active Fraction Lisna Hidayati, sitarina widyarini, sukarti moeljopawiro on Cell Proliferation, COX-2, and p53 Expression of C3H Mice Breast Cancer Model THE EFFECTIVENESS OF THE ELECTRODES AND ELECTRIC CURRENT IN I PUTU YUDIANDIKA THE SEPARATION OF METALLIC SILVER (AG) FROM WASTE POTOGRAPHY BY ELECTROLYSIS METHOD 69,71Ga-NQR STUDY OF YbNi3Ga9 Naoya Kamiyama, Ryo Nagashima, Hideto Fukazawa, Yoh Kohori, Tetsuro Yamashita, Shigeo Ohara NUCLEAR QUADRUPLE RESONANCE STUDY OF Ce2PdIn8 Sho Shimatani, Ryo Nagashima, Hideto Fukazawa, Yoh Kohori, D. Kaczorowski LAND USE AND LAND COVER MAPPING WITH JERS-1 SAR DATA M. Mahmudur Rahman, Josaphat Tetuko Sri Sumantyo TSUNAMI INUNDATION HAZARD MAPPING OF SAND DUNE AREA IN Ratih Fitria Putri, Josaphat Tetuko Sri Sumantyo PARANGTRITIS SUB DISTRICT, YOGYAKARTA, INDONESIA RIVER WATER QUALITY STUDY IN BADUNG REGENCY The relationship between the paddy rice field and growing environment in west Jawa COMPARISON OF STATISTICAL MODELS FOR ESTIMATING RICE YIELD USING REMOTELY SENSED DATA IDENTIFICATION OF DEFORESTATION IN BORNEO FROM 2007 TO 2009 USING ALOS PALSAR MOSAIC EVALUATING LAND SURFACE CHANGES OF MAKASSAR CITY USING DINSAR AND LANDSAT IMAGES Monitoring urban land deformation using DInSAR technique on combination of L, C and X-band SAR data GRASP OF UNMANNED AERIAL VEHICLE FLIGHT STATE USING GPS AND INERTIALMEASUREMENT UNIT SIGNIFICANCE OF INTERNET IN INCREASING INTENSITY OF INTERPERSONAL COMMUNICATION TOWARD SOCIAL SOLIDARITY(Study in Cyber Village, Yogyakarta) CULTURAL IDENTITY OF A SHIFT IN DESCENDANTS THE URBAN TRIBE JAVA AT METROPOLITAN CITY(Study in the District of Jagakarsa, South Jakarta) ROOF GARDEN RECYCLING MODEL (RGRM): ALTERNATIVE TECHNOLOGIES FOR LOW COST, FRIENDLY RESIDENTIAL IN LIMITED AREA URBAN ENVIRONMENT AND OPTIMIZING RECYCLED MATERIALS

I Nengah Sukarta, Made Sudiana Mahendra ryohei shikata, C.Hongo, G. SIGIT, K. Honma, K. Yoshida, M. Maki, K. Oki, H. Shirakawa Chiharu HONGO, Gunardi Sigit, Hiroaki Shirakawa, Koki Honma,Masayasu Maki, Koshi Yoshida, Kazuo Oki Ardiansyah, Rokhmatuloh

"HANA" HEALTHY ANTIOXIDANT NOODLES: THE UTILIZATION OF LOCAL FOOD MADE OF PURPLE SWEET POTATO (Ipomoea batatas Lamb.), BLACK SOYBEAN (Glycine soja), GREEN JELLY GRASS (Cyclea barbata L. Miers) Reduction of Synthetic Aperture Radar Raw Data Using Compressive Sensing CURRENT RESEARCH ON TROPICAL PEATLAND VOLUME ESTIMATION IN INDONESIA STUDY OF MOISTURE TRANSPORT ON LOW LEVEL TROPOSPHERE BASED ON GPS DATA OBSERVATION CONNECTED TO THE PROCESS OF CONVECTIVE’S EVOLUTION The Sensitivity Analysis of Ekman Layer Modeling PIKOHIDRO SAWANGAN, THE IMPLEMENTATION OF RENEWABLE ENERGY FOR THE PROSPERITY OF THE PEOPLE IN REMOTE VILLAGES IN BANJARNEGARA, INDONESIA HARVEST ESTIMATION OF GLYCINE MAX L USING LANDSAT 7 ETM+ BY INFRARED II INDEX AND MOISTURE STRESS INDEX (MSI)

Qisthira Swasti Amirina, Aryo Dwi Nugroho

Ilham Alimuddin, Luhur Bayuaji, Josaphat Tetuko Sri Sumantyo, Hiroaki Kuze Luhur Bayuaji, Josaphat Tetuko Sri Sumantyo Takahiro Miyazaki, Takuji Ebinuma, J.T. Sri Sumantyo Leo Susanto, Rayhana Anwarie, Ricky Abdurrahman Hafidz

Rayhana Anwarie, Fitri Dwi Lestari, Iqbal Al Khazim, Yuning Ika Rohmawati Achmad Suryadi, Agustina Setiawati

Rahmat Arief Rokhmatuloh Kristianto Aries, Widiyantoro Sri, Hadi Wahyu Tri, Wijaya

Darmawan Dudy Syamsul Rizal, Anita Talib, Khairun Yahya, Abdul Halim Fitrotun Aliyah, Tri Handoyo, Ahmad Baihaqqi, Dwi Ulfa Nur Izzati, Prasetyan Nur Firdaus, Rachmawan Budiarto Ridho Kurniawan, Ridho Kurniawan, Hanandy Y.L., Iswari N.H., Meidi N.A.

P49

P50

Adaptive-ARQ Applications Based On CRC And RS Code In The Millimeter Wave Radio Communication System Under Rainy Conditions PARAMETER COPULA ESTIMATIONAND APPLICATIONS ON CLIMATOLOGY

Indah Kurniawati, Suwadi, Gamantyo Hendrantoro, Muhammad Taufik, Noorlaila Hayati irwan syahrir, Ismaini Zain, Heri Kuswanto, Muhammad Taufik, Noorlaila Hayati

IJJSS 2012 SESSIONS RS

REMOTE SENSING

UE

URBAN ENVIRONMENT

MP

MEDICINE AND PHARMACY

EC

ENVIRONMENTAL CHEMISTRY

AG

AGRICULTURE

HT

HORTICULTURE

ME

MICROELECTRONICS AND ELECTRONIC DEVICE

EP

ENERGY AND POWER SYSTEM

PH

PHYSICS

CI

COMPUTER AND INFORMATION

AM

ANTENNA, MICROWAVE AND MOBILE COMMUNICATION

MM

MECHANICAL, METALLURGY AND MATERIALS ENGINEERING

ES

ENVIRONMENTAL SCIENCE

IP

IMAGE, OPTICAL COMMUNICATION AND SIGNAL PROCESSING

P

POSTER

COMPUTER AND INFORMATION (CI)

CI01

A unified Cloud Service Ontology for Scientific Applications Nick A. Tahamtan, A. Anjomshoaa and A.M. Tjoa

272

CI02

Leukocyte Recognition using Window Cropping and Co-occurrence Matrix Method Lina, Arlends Chris, Bagus Mulyawan

273

CI03

WEB-GIS APPLICATION FOR PUBLIC TRANSPORT INFORMATION IN YOGYAKARTA CITY Muhammad Iqnaul Haq, Rendra Ady Wijaya, Imam Santoso

277

CI04

Encrypting Text Into Image With MATLAB Muhammad Syahid Adam, Indra Riyanto

282

CI05

Comparison of Similar Word Searching Algorithm to Improve Performance of SIMPLEO Essay Grading System Anak Agung Putri Ratna, Rizka Haifa, Meirisal Dwi Waldi, Prima Dewi Purnamasari

288

CI06

CLASSIFICATION OF THE QUALITY OF URANIUM GREEN PELLETS BASED ON IMPROVED LEVENBERG-MARQUARD ALGORITHM Rozandi Prarizky, Benyamin Kusumoputro

294

CI07

MOBILE SYSTEM TO SUPPORT FLOOD AREA INFORMATION DISTRIBUTION. CASE STUDY: CENTRAL JAKARTA AREA Wihartini, Wahyu Pramusinto, Indra Riyanto

300

CI08

SPOT-4 Imagery Metadata Conversion For National Institute Of Aeronautics And Space Remote Sensing Technology And Data Laboratory Sulis Darmanto, Syamsul Abbas Ras, Indra Riyanto

306

The 5th Indonesia-Japan Joint Scientific Symposium

Computer and Information IJJSS, 25-26 October 2012

ENCRYPTING TEXT INTO IMAGE WITH MATLAB Muhammad Syahid Adam 1 and Indra Riyanto*2 1

Communications Centre, Ministry of Foreign Affairs of the Republic of Indonesia, Jl. Pejambon No. 6 Central Jakarta, INDONESIA, 10110; Tel +62213441508 E-mail: [email protected] 2

Faculty of Engineering, Budi Luhur University, Jl. Cileduk Raya No. 1, South Jakarta, INDONESIA, 12260; Tel +62215853753 ext 255 E-mail: [email protected]

KEY WORDS: Steganography, Information Security, Image Processing, Least Significant Bit ABSTRACT: Aside from providing benefits to mankind, Information and Telecommunication Technology also opens the opportunity for crimes and/or other infringement, like information tapping by those not concerned. This case is particularly important issue in Ministry of Foreign Affair, as e-mail and/or other transmission methods are prone to hacking and/or tapping, especially during transmission of classified or important messages(s). One method to secure messages is by transforming it to other form. Information is sent in ASCII form as numbers for both text and image, with the latter as a matrix of pixels. By transforming them as 8-bit binary numbers, a text message can be encrypted into image by replacing the Least Significant Bit (LSB) of the image pixel with the bit from the text. Although basically the image is changed, the difference is imperceptible to human visual system and will be regarded as ordinary image by person(s) who is not intended to receive it. For the recipient, the image can be decrypted to extract the message.

1. INTRODUCTION Most popular information sharing media is currently the internet. Almost anyone, anytime and anywhere can access it. Correspondence can be done easily and quickly using e-mail, not only the information that can be transmitted in the form of text, but also sound, images and video. However, theft of information via the internet still occurs. There are several ways to reduce the risk of theft of information, such as by disguising or hide the information into another form that can deceive those who are not interested. Information hiding technique is called steganography, which can be defined as the art and science of writing hidden messages or hide a message in a certain way so other than the sender and receiver, no one knows or realizes that there is a secret message. Since more than 2500 years ago this technique has been used. As for using non-visible ink (invisible ink) made from a mixture of fruit juice, milk, and vinegar. Steganography is currently using digital media to hide information, such as digital images, sound, video and other digital data. In general, the information sent or received in the form of text, images or both. For text expressed in ASCII code (American Standard Code for Information Interchange), which has a value from 0 to 255. While the image or the image is read as a matrix of numbers that represent the color of each pixel. Thus, these values can be manipulated so that the text is hidden in the image. Hiding text in the image can be done in two ways, namely by directly manipulating the image pixel values or by manipulating the results of the transformation of the image frequency. The former is the simplest, simply by changing the value of LSB (Least Significant Bit) of each pixel with the value of each bit of each character in the text. In this scientific journal writing, research methods used include: 1. Literature study, that is collecting data by reading books and other data sources on the Matlab image processing toolbox. 2. Designing algorithms data hiding in LSB pixel image. The literature that has been gained by creating an algorithm implemented with Matlab programming that can be hidden input text into an image, and remove it again so it reads as before. 3. Experimentation, testing and refinement of the program to obtain the desired results. 2. BACKGROUND THEORIES 2.1 ASCII Code ASCII, which stands for American Standard Code for Information Interchange is an international standard code of letters and symbols. ASCII codes are used in computers and other communication tools to represent text. This code 283

Copyright IJJSS 2012



has a composition as much as 8-bit binary number. Starting from 0000 0000 to 1111 1111 or in the decimal number system from 0 to 255, making the total of 256. ASCII code represents codes for: 1. Numbers (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) 2. Letters ( a – z, A – Z ) 3. Symbols ( &, ^, %, $, @, etc.) 4. Buttons/Functions ( Enter, Esc, Backspace, Space, Tab, Shift, Ctrl, etc.) 5. Graphical Characters (ASCII Standard no. 128 - 255 ) 6. Communication Codes ( ETX, STX, ENQ, ACK, etc. ) 2.2 Digital Image An image can be defined as an image that is located on a 2 dimensional plane. The image can be optical like a photo, like the picture on screen analog TV or digitally the form of numbers. An image is converted from optical or analog form into a digital form that can be manipulated or stored in an electronic storage media. The conversion process can be done with electronic devices such as scanners or digitally cameras. Just as the conversion of analog signals into digital signals, an image goes through two stages to become a digital image, that is sampling and quantization. Sampling is a division of the image into small parts. Then the pixels are given a value based on the light intensity or brightness (brightness), this step is called quantization. Digital image will look like two-dimensional function, f(x, y), as shown in Figure 1, with x and y are spatial coordinates, and the value of f at any point of coordinates is the light intensity or brightness.

Figure 1. The image in the form of (a) Coordinates (b) The matrix Each point of coordinates or values in the matrix are called picture elements (pixels). For black-and-white binary image, each pixel is 0 to 1 for black or white. In the gray-scale image (grayscale), the point will appear black on the lowest intensity or the value f (x, y) = 0, white at the highest intensities or the value f (x, y) = 255 and f (x, y ) value between 1 to 254 will appear gray in stages according to its value. Since each pixel has a value between 0 and 255, the data size is 8 bits or 1 byte. So for an image size of 100 x 100 pixels will have a data size of 100 x 100 x 8 bits, ie 80 000 bits or 10 Kbytes. In the color image, the size of the data is 3 times larger than the grayscale image. Color image using the color system RGB (Red, Green, and Blue) can look like 3 pieces stacked 2-dimensional images into one, the image of the red, green and blue. Each point of on these images also have a range of values from 0 to 255 with the lowest value and the highest looked black red, green and blue. The original color visible image is a combination of three color components of supporters. Thus, an RGB image has 16,777,216 color combinations, also called true color image. RGB colors are the primary colors of light, the color of the visible or directly emitted from the light source. When the light is on an object, no light is absorbed and some is reflected. Whatever is seen by our eyes that is not a source of light is the result of the reflection of light. For example, objects that actually looks green reflects the green component and absorbs red and blue or magenta. And conversely, if the object is visible in magenta, the color components of light absorbed is green. 3. SYSTEM DESIGN The system created by using the MATLAB programming language software with a toolbox of image processing as image processor. There are two main processes in the system, i.e. hiding or insert text into an image called Embedding, and remove the text from the image called Extracting. 3.1 Embedding Process In the embedding process, each text character first converted to 8-bit binary number. Insertion of the character bits are done by changing the value of the LSB pixel follows the character bit value. Changing the LSB value will not 284




change the look of the image, because pixel values would only go up or down one level. Compared with the color combination that reached 256 levels, 1 level change would not be significant. Moreover if the imagery used is colored or RGB image, the modified image pixel is only the red component of the image, while the green and blue image remains the same. If the input text consists of multiple lines, the text is combined into one line by inserting a separator character of each end of the line. This is done to simplify the process of Embedding. Text length is calculated as the limit on the number of characters to be hidden, the value is also hidden in the image in order to limit the number of pixels being processed for Extracting process. The text made into 16 bit in anticipation of long text to be hidden. 16 bit means the system is able to process as many as 216 texts or 65536 characters. The number of characters of text input is converted into a binary 16 bit and then entered on the first line of binary matrix. The remaining 16 bits are the first line after the number of characters filled with number 2. This figure is a differentiator of binary 1 and 0 at the time of inserting the binary matrix into image’s LSB. The first column to column 16 on the first line will be filled in the number of characters in 16 bits. Column 17 to the last column will contain the number 2 as a neutral value. In the second line, starting from the first column to column 10 will be filled with a series of binary numbers with the first character boundary. Column 11 to column 20 will be filled with a series of binary character of the second and so on until the last column. If the number of columns of the matrix is not a multiple of 10, the remaining numbers in the series will fill the first column on the next line. For example, if the number of columns of the matrix pixels is 30 and the number of characters is 45, the first line of binary matrix shown in Figure 2.

Figure 2. Binary number of decimal 45 shown in shaded cells Next step is to change the characters into a binary. Input text characters are treated virtually the same as the length of the text. Each character is 10 digits in length: 8 digit binary numbers of characters and 2 digits are limiter, i.e. number 2 placed at the beginning and end of a series of binary characters. The 10-digit binary number is then inserted into the binary matrix starting from the second row and first column. For example, the characters to be inserted are 'a1'. Character 'a' in the decimal value is 97 and '1' value is 49 so on the second line of binary matrix will contain these binary values as shown in shaded cells in Figure 3.

Figure 3. Binary number sequence of 97 and 49 representing characters ’a’ and ’1’ shown in shaded cells After all characters inserted into a binary matrix, the remaining elements present in the matrix is filled with the number 2. Insertion of a binary matrix element is done one by one. This process is actually changing the image LSB matrix element to become equal to the value of bits or binary matrix elements, so as if the bit is inserted into the matrix elements of the image. For the neutral value or number 2, the value of the matrix elements of the image is unchanged. The matrix is then stored with the image of the image file format that does not change the value of the pixel due to compression, such as bitmap. 3.2 Extracting process Extracting process has the input image that is output of Embedding process. From the image, it will draw a series of binary numbers and will be reassembled into text characters. In the first line of a binary matrix, that is the first 16 elements can be determined number of hidden characters. Starting from the second row and first column, a series of binary characters of text can be retrieved and reassembled into the characters. The process is carried out at every 10 elements, and then takes 8 digits to be converted into a decimal number. Decimal number is then converted into a character which is then compiled into a characters matrix until the number of characters is reached. To turn it into such a text input, these characters must be separated according to the number of rows. The trick is to look for the separator line and replace it with a sign or command line switch. 4 TESTING AND ANALYSIS 4.1 Single-line text input The first test of this software is to give as much input text of one line or one paragraph. In other words, the text does not have the ASCII code for Enter or CR (Carriage Return) which functions to change the line in the edit box. Text input can be typed or pasted in the edit box. As shown in Figure 4, the test input text is: ‘Uji Coba Menyembunyikan Teks Ke Dalam Citra Menggunakan Matlab Muhammad Syahid Adam 0552510208 Program Studi Teknik Elektro Fakultas Teknik Universitas Budi Luhur 2011’. As described previously in Embedding process, the bits number of 285




characters placed in the first row starting from the first column to 16. Then the bits are converted to a decimal number and used as counters in making the character bits. Table 1 shows the image matrix sample, the binary matrix of the text, and embedding result, respectively taken from line-1 and line-2. Table 1. Input Process Image Matrix Sample (upper), binary matrix of text (middle), and its embedding result (lower)

In this test, during extraction, the input image is the image output from the Embedding. The first is to open the image file to be processed. Because the image that has hidden text formatted bitmap, image opened must have the same format. From Table 1, known character bit number is '0000 0000 1010 0111 'or 167 characters. The first counter is the process of taking the first character bits, starting from the second row in the first column to column 10. From a series of 10 bits, the bits of the 2nd to the 9th are a 8 bit characters, while the first bit and the 10 is a bit divider between the characters. Table 2 is the bits of the first and second characters hidden in the image. Table 2. The series of bits from the first and second character

When all 8-bit characters are extracted and then converted to a decimal number, the following is the process of its conversion: Character 1: 01010101 = 85 = 'U' Character 2: 01101010 = 106 = 'j' and so on. Decimal value is then converted into character and put in a matrix of 'text' that has 1 rows and columns as the number of characters, which is 167. So we get a 1-line text or one-paragraph with contains 167 characters. The resulting extraction is shown in Figure 5, in which, the text successfully read as ‘Uji Coba Menyembunyikan Teks Ke Dalam Citra Menggunakan Matlab Muhammad Syahid Adam 0552510208 Program Studi Teknik Elektro Fakultas Teknik Universitas Budi Luhur 2011’. Table 3 shows a sample of the input image matrix Extracting process, and matrix LSB on line-1 and line-2.

Figure 5. Extraction Process

Figure 4. Embedding of text without CR

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Table 3. Sample Input Process Image Matrix (upper) and its LSB (lower)

4.2 Multiple-line text input The second test uses a text input with multiple lines marked with  for carriage return (CR) at the end of each line. The second test is basically using the same process. Embedding produces an output image as expected, that looks no different from the image of the previous test. What distinguishes the earlier tests only on text input, while the input image is used and the same testing measures, the difference is not expected to change the input process results or outcomes, both on the Embedding and Extracting. Text input on this test is shown in Figure 6 as: ‘Uji Coba Menyembunyikan Teks Ke Dalam Citra Menggunakan Matlab’ ’Muhammad Syahid Adam’ ’0552510208’ ’Program Studi Teknik Elektro’ ’Fakultas Teknik’ ’Universitas Budi Luhur’ ’2011’. There are 7 lines of text with different text length. By using the same extraction process, the results obtained is shown in Figure 7. Extracting process shows different output text with the text input in the previous process, which displayed only the first row only. After examination on Binary Matrix, found the data as shown in Table 4.

Figure 6. Embedding of text with CR Figure 7. Extraction of text with CR Table 4. Binary matrix sample multiple lines

In the first line contains the number of characters that can be seen is a series of binary number 0000 0000 0011 1110 or 62 characters, not 167 characters. So text input is processed only the first 62 characters or just the first line only. In previous plans estimated Matlab read the text edit box in the matrix as a single line, but after many experiments it is known that the text is read as a matrix with number of columns as the number of characters and number of lines as the existing line or paragraph. Separation between lines or paragraphs is Enter key code, so the software can be considered unable to read the code. There are two solutions that can be used to solve the problem, that is the processing of each row and column or by integrating into a single line of text.

287




4.3 Fault Analysis Since Matlab reads the input text as a matrix with a certain number of rows and columns, each column in each row will be processed. But first it must be converted into a matrix cell, because the blank line in the text input matrix will have the same number of columns with the row that has the highest number of columns. Figure 8 shows the text input as a matrix and as a cell. Once become cell, the text input will be processed sequentially by rows and columns. In addition to the number of columns per row, number of rows should also be incorporated into the image as a limiting process. It required additional space to be filled by those values. Processing stratified like this is very complicated and requires a larger memory allocation from the basic version.

Figure 8. Comparison Extracting Text Output Process (a) Text to Cell (b) Text to Matrix 5.

CONCLUSIONS

From the test results and analysis, it can be concluded as follows: • Software 'Encrypting Text Into Image' capable of processing text to be hidden in the image (the Embedding) and also remove it again (Extracting process). That is a way to change the value of the pixel image LSB follow value bits of text characters. • The format of the input image can be used for Embedding process, ie jpg, bitmap, png, tiff or gif. To maintain the integrity of the text that is hidden, the output image is stored only in bitmap format. So at Extracting process, the input images are also in bitmap format. • From the test also found a weakness in the software, which can not enter or change the sign to hide rows manually. This is because Matlab does not read the input text as a single line matrix, but a matrix with as many rows or the number of lines in the text paragraphs and the number of columns as the number of characters. • The solution used to cope is to unite these lines in the input text, so the text is processed matrix character single line with the number of columns as the sum of all characters in the input text, including characters '█' instead enter () for a line change. ACKNOWLEDGEMENTS The authors want to thank the Faculty of Engineering of Budi Luhur University for the full support received during this research, and the Directorate of Research and Community Services of the Budi Luhur University for the funding of the publication. REFERENCES: Gonzalez, Rafael C, Woods, Richard E, dan Eddins, Steven L, Digital Image Processing Using Matlab, Pearson Education Inc., 2004 Haryanto, Steganografi, haryanto.staff.gunadarma.ac.id/Downloads/files/7272/9.Steganografi.ppt, downloaded in 12 August 2011. Jaya, Danang, Implementasi Kriptografi Visual Pada Steganografi Citra Digital, Puskaji Kriptografi Deputi III Lembaga Sandi Negara, 2010. Putra Sitorus, Panji, Watermarking Pada Citra Digital Dengan Menggunakan Discrete Cosine Transform, Universitas Sumatera Utara, Medan, 2008. 288




MOBILE SYSTEM TO SUPPORT FLOOD AREA INFORMATION DISTRIBUTION. CASE STUDY: CENTRAL JAKARTA AREA Wihartini1, Wahyu Pramusinto* 2 and Indra Riyanto1 1

Faculty of Engineering, Budi Luhur University, Jl. Cileduk Raya No. 1, South Jakarta, INDONESIA, 12260; Tel +62215853753 ext 255 E-mail: [email protected] 2

Faculty of Information Technology, Budi Luhur University, Jl. Cileduk Raya No. 1 Jakarta, INDONESIA,; Tel +62215853753 ext 309 E-mail: [email protected]

KEY WORDS: Flood Area Information, Knowledge base, Database, Distributed Information System ABSTRACT: Mobile Phone (HP) is a mobile communication system that has been popular in the community in Jakarta. Because HP can be taken anywhere it is appropriate as a means of information dissemination. Flood is a very distressing event that the public, especially residents of Jakarta. Not just traffic jams everywhere, but also can stop the activities of the community. This research uses knowledge base to inform the distribution of flood area based correlation between the heights of water surface at the water gate with a distribution area of flood water. A knowledge base flood data area and the water levels in water gate for the preceding year are set up manually by gate attendant, the attendant can up-date when the data changes. In this system there is interaction between the gate attendant, systems and society: Gate attendant update the floodgates data into the master. When updating the master of gates, floodgates required name, map coordinates and their gate.Dissemination of information is by the use of Distributed Information Systems of flooded areas can be done quickly and widely. This system is expected to be developed continuously in order for the water levels at the floodgates can be updated in real time and integrated with flood area information systems. 1. INTRODUCTION Communication technology in Indonesia is very advanced, Internet and mobile phones (HP) as a means of communication is very well known by the public, especially in Jakarta. HP has been used as a means of daily communication either by the upper to the lower classes. Because it can be taken anywhere, it is a system of mobile communication devices. Problem of flooding is a very serious problem occurs in Jakarta, it cause traffic jams everywhere, even to disrupt the activities of some community. Hence the flood of information becomes very important area, so that people can prepare themselves. Flood detection is done through monitoring the water levels in the water gate, which is still done manually so that the information is slow and it took a long time to reach the potentially affected people. It needs the attention of relevant agencies to be upgraded to automatic control systems and work in real-time. The purpose of this study is to provide alternative solutions to the problem of flooding that resulted in the public misery. Information to be disseminated is the distribution area of flooding due to increased water levels in the water gate, correlating the rising water level at the water gate with the extent of flooded areas as the impact will be stored in a knowledge base. Knowledge base need support a data storage system which is the database system. The database must be designed properly to support the establishment of a knowledge base so that the time data retrieval can be done quickly. In the formation of a distributed information system, data base system is based on historical flood data area the previous year and the database system used is a relational database system. Management and Maintenance of data is to be carried by the relevant agencies to maintain the accuracy of the data. The format of the information to be displayed on the HP media is in the form of a table, containing the water levels and distribution of water at the door flooded areas. Display format on the screen is also very important to note because the displayed information should be informative so that messages displayed can be easily understood by the public. In this case, the public is the object recipient of the information transmitted through the mobile system. 2. DATA AND METHODOLOGY 2.1 Area Data

301




Area of the data used in this study is the Jakarta area by using image maps of Jakarta data sources from the Department of City Planning. Area to be used as the sample is flooded areas that can be be monitored from Manggarai water gate and Tanah Abang.

Figure 1. Map of DKI Jakarta 2.2 Methodology The initial step in this research is to conduct an inventory of historical data based on the data flooding one year earlier. The next step is to design for the onscreen display.

Database/ knowledge base . Distribution . Information . System . (DIS) . Area Banjir .

Input

.

Figure 2. Block diagram of. the flood area Information System In this process required place to store the data in the form of a database as a tool to support a knowledge base. This . knowledge base will contain the history of the impact of the overflow of water at the entrance to the distribution area . of flood water. The next step is designing a database as a data base of the formation of a knowledge base. Output display screen . designed for HP. Programming language being used is the programming language PHP (Hypertext Preprocessor) for the establishment of the application on the server and the Java programming language in the mobile system. 3. THEORY Technology used in this system is the knowledge base with the Distributed Information System or Distribution Information System (DIS) for information dissemination. Information Distribution System is a distributed computing system which is placed in the program and the database server can be distributed and used at each work station, in this study is the HP as a mobile communication system. Servers are computers that constantly provide the center and run computer programs and databases required by other computers. Media output of this system is a mobile media (HP). Information released is based on the established knowledge base. Correlation-based distribution area and height of flood water in the sluice gates may be formed of a knowledge base or knowledge base. Relevant knowledge base contains the knowledge necessary to understand, formulate and solve the base includes two basic elements, namely: 1. fact, such a situation the problem and the theory of problem areas 302




2. heuristics or rules that direct the use of specific problems to solve specific problems in specific domains The use of this knowledge base requires a database. The selected database is a relational database. The main purpose of database creation is to get data from the height of water in the door and the distribution area of flood water to be stored into a relational database. Relational databases are one of the concepts of data storage where data is stored in the form of relationships between tables and there is a relationship or a relationship. The advantages of relational databases are: 1. Allows the user to define the columns of a particular record as a key or index 2. Search queries more quickly and accurately based on the values that have been indexed. So also with the records can easily be connected with the values that have been indexed 3. With one to many relationships in a relational database table then it is appropriate to handle the necessary data processing 4. Offers a better reporting process with a variety of report generator that filters and displays the columns of choice. Software used to create tables; browse data, edit data and delete data are called Relational Database Management System (RDBMS). Once the database is formed then the next process is to prepare a display screen. Further preparation programs are required to use the programming language PHP (Hypertext Preprocessor) for applications in servers and Java applications on HP. Java programming language must be installed on the phone. When a Java application is executed then the application will communicate with existing applications and databases on the server. With the advancement of information and communications technology or ICT at this time, the government should take advantage of this technology. System on-line through the mobile-system (MS) is an appropriate and effective system. Information can be accessed easily and quickly through the HP so it is very effective. System information is distributed or dispersed the initial research of the flood control system in which subsequent research can be done in the research system controls the water level at the gate in real-time. With the integration of this system in an integrated flood control system is expected to be formed on-line so that the information will always be up-to-date.

Figure 3. Mobile System . 4. IMPLEMENTATION In this system, there are two processes to be performed, namely: a. Making an application program and database / knowledge in the server b. Making an application program for the mobile system 4.1 Preparation and application of the program as database / knowledge base on the server Applications used on the server are the PHP programming language and MySQL database. Initially a knowledge base flood data area and the water levels in water gate for the preceding year are set up manually by gate attendant, the attendant can up-date when the data changes. In this system there is interaction between the gate attendant, systems and society: Gate attendant update the floodgates data into the master. When updating the master of gates, floodgates required name, map coordinates and their sluice. The next step is to update the data area, which is flood affected area.

303




At the time of update, master data required the names of data area and gate coverage area data which had been input previously. Then the gate attendant(s) updating the data on water level floodgates at specified intervals and determines the distribution area of the impact of flooding on the surrounding area. After all data is updated, the public can see firsthand the dissemination of flood area information.

Input Ketinggian Pintu Air

Petugas Pintu Air

Input Area Dampak Banjir

Input Master Area Masyarakat

Input Master pintu Air

Figure 4. Use Case Diagram What should be done first on this information system is to input Data in the form of the name floodgates floodgates, floodgates map, the province and specify the coordinates of floodgates on the map. Data that has been in the floodgates-input can be edited and deleted. Data input screen display floodgates is in Figure 5. To specify the position of floodgates on the map, is shown a page containing a map, as in Figure 5. The position of floodgates is made in the form of a red box to make it clearly visible.

Figure 5. Gate Data Input Once the floodgates of data loaded, the next step is to fill the affected area due to rising water floodgate at the entrance of water when flooding occurs. Update the page display area can be seen in the following Figure 6.

Figure 5. Flood Gate Location Input

304




Figure 6. Area Data The next step is to input the water level data and of the affected area as shown in Figures 7 and 8. The data will be shown as polygon in Figure 9.

Figure 8. Flood affected area input

Figure 7. Water level data input

e. DIS This menu allows operator to monitor the flooding area using the map the spread of flooding in Jakarta. Initially will be shown a map of Jakarta and select the data of existing floodgate. Next will be shown a map of areas affected by flooding.

Figure 9. Flooded Area Polygon

Figure 10. Sample of Flooded areas

4.2 Preparation and application of the program for the Mobile System Applications in mobile phones use the Java programming language. Once the application is created, the application will be downloaded from the internet so that people who need it can install their own applications on their mobile phone. Mobile phone that can install this application are Android based mobile phones. While the applications on the server uses PHP programming language and MySQL database.

305




Figure 11. Mobile Phone Display 5. RESULT ANALYSIS Implementation of the mobile system that contains the correlation area flooded with water levels at the floodgates, it can be concluded that: a. HP media (mobile system) is a user-oriented media, made under the needs of the dissemination of information. b. Use of the knowledge base is very useful for the learning and analysis of the impact of floods that occurred. c. Dissemination of information of the distribution of flooded areas can be done quickly and widely d. This system is expected to be developed continuously in order for the water levels at the floodgates can be updated in real time and integrated with flood area information systems. ACKNOWLEDGEMENTS The authors want to thank Budi Luhur University for the full support in this research, from funding the research and the opportunity given to present the result in this paper. REFERENCES: Alam A.S., N., Sungai Ciliwung 2006, Google, 2006 Betha, S., Pemrograman Web dengan PHP, Informatika Bandung, 2004 Dinar, A., DAS di Jabar Kritis, Google, 2007 Posko Bencana Banjir Dep. PU, Kompas, Daftar Peta Thematik Bencana Banjir di Propinsi DKI, Kompas, 2007 Tejasukmana, B.S., Dewanti, R., Adiningsih, E.S., Kartoyo, Pantauan Banjir di Jakarta Menggunaka Data ALOS, Google, 2006 Wikipedia, Knowledge Base, http://en.wikipedia.org/wiki/Knowledge_base Wikipedia, Sistem Informasi Geografis, http://id.wikipedia.org/wiki/Sistem_informasi_geografis, 2009

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SPOT-4 IMAGERY METADATA CONVERSION FOR NATIONAL INSTITUTE OF AERONAUTICS AND SPACE REMOTE SENSING TECHNOLOGY AND DATA LABORATORY Sulis Darmanto*1, Syamsul Abbas Ras2 and Indra Riyanto3 1

Institute of Aeronautics and Space Agency, the Deputy for Remote Sensing, Jl. Lapan No. 70, Pekayon Pasar Rebo, East Jakarta, INDONESIA, 10110; Tel +62218710; E-mail: [email protected] 2

Faculty of Information Technology, Universitas Respati Indonesia, Jl. Bambu Apus I No. 3, Cipayung, East Jakarta, INDONESIA, 13890, Tel +62218457628; E-mail: [email protected] 3

Faculty of Engineering, Budi Luhur University, Jl. Cileduk Raya No. 1, South Jakarta, INDONESIA, 12260; Tel +62215853753 ext 255 E-mail: [email protected]

KEY WORDS: Conversion module, metadata, satellite imagery, SPOT-4 ABSTRACT: To meet the availability of accessible data to users, LAPAN made a breakthrough by creating metadata from the existing satellite image data, especially for SPOT-4 satellite data. Metadata is defined as data that describes the information about who owns the data, the purpose of data compilation, data quality, organizing data and others, and in the definition of the National Coordinating Agency for Surveys and Mapping (Bakosurtanal) can also be interpreted as structured information that describes, explains, finding , or at least to make the information easy to find again, used, or maintained. Remote sensing data have the information quality of the data as the results of the process carried out form a specific data level. Spatial metadata defined as a geographically-oriented with particular coordinate system as the basic reference and has two essential parts that make it different from other data, the location information (spatial) and descriptive information (attributes). Currently, preparation of metadata is still processed manually, the large amount of metadata and the volume of metadata that must be converted can cause many errors, this leads to the need for automation of metadata conversion process. The average conversion time by the program is 9.96 seconds or less than 5 minutes (300 seconds) than the manual method, thus increasing the volume of data that can be converted. Conversion module is only to change the format of the DIM metadata to TXT, and TIF image to ERS image file. 1. INTRODUCTION 1.1 Background Institute of Aeronautics and Space Agency (LAPAN) is a non-departmental government institution which is coordinated by the Ministry of Research and tekologi, where one of his duties was as a provider of satellite remote sensing image data. Remote Sensing (PJ) is a collection or measurement data and information on the nature of a phenomenon, object or thing using a tape recorder with no direct contact with study materials. In fulfilling the information needs of the availability of data that can be accessed by the user then LAPAN made a breakthrough by creating metadata from satellite imagery data that exists primarily for satellite data Systeme Pour l'Observation de la Terre (SPOT-4). Metadata is data that describes information about who owns the data, the purpose of the preparation of the data, quality of data, organizing data, and others. In making the data sensing spatial metadata (raster) necessary to understand some of the characteristics of remote sensing data, including: 1. Remote sensing data is image data recorded by a satellite that has the coordinates, spatial resolution, data acquisition time, number of channels, satellite platforms and others. 2. Remote sensing data has a spatial resolution shows every pixel in the image represents a specific area of the earth and temporal resolution show that the data can consist of multiple times for specific areas. 3. Remote sensing data already have metadata from data acquisition (default metadata) to the format file extensions follow different standards used by the satellite. Remote sensing data have the information quality of the data (the results of the quality assessment process is done by producing the data in the form of a specific data level). defines metadata for spatial data is a geographically oriented, have a certain coordinate system as the basis of reference and has two important parts that make it different from other data, the location information (spatial) and descriptive information (attributes) are described below:

307




1. Location information (spatial), corresponds to a coordinate both geographic coordinates (latitude and longitude) and the XYZ coordinates, including the datum and projection information. 2. Descriptive information (attributes) or non-spatial information, a location that has some information related to it, such as: type of vegetation, population, area, zip code, etc. Making metadata is still done manually using metadata tools or device. Metadata creation process takes time in the process, making it vulnerable to mistakes made by the maker of metadata (human error). 1.2 Purpose of Research Based on the issues related to data availability of SPOT-4 satellite imagery and metadata in the National Aeronautics and Space Agency Deputy for Remote Sensing, the problems identified is that metadata creation is still done manually and given the amount of metadata that must be converted, is susceptible to errors, it is necessary to automate the process of metadata creation by means of metadata format conversion towards the format of the Indonesian National Standard (SNI) or by .DIM file format to .TXT file format for metadata and .TIF file format to .ERS file for satellite imagery. The purpose of this study was to analyze and design a system that is expected to facilitate the conversion process metadata SPOT-4 satellite earth station format into the format of the Indonesian National Standard (SNI) or by format. TXT for metadata and. ERS for satellite imagery. 2. FOUNDATION THEORY 2.1 Indonesia National Standard (SNI) Indonesian National Standard (SNI) is a standard that has been established nationally. This standard has been in the projection of the National Cartographic Catalog, ISO standard refers to the Federal Geographic Data Committee (FGDC)-STD 001-1998. Content Standard for Digital Geospatial Metadata , ISO standard implementation is due to the different aspects and very important: a. The first reason is to agree on a common data structure (at the level of the logical model) between different agencies participating in the National Catalogue. b. The second is to compel all participants to use common metadata format ("METADATA.DIM") or earth station, to achieve a certain level metadata into a data system with the name of file.txt. SNI is the standard used for the metadata creation of the SPOT-4 satellite images and has been adjusted with the national standards set forth in the National cartographic catalog. Other standards related to this standard include the Spatial Data Transfer Standard (SDTS) for digital spatial data exchange between software spatial data. Metadata standard was developed to identify and define metadata elements used to document a series of digital spatial data for a variety of purposes. This includes metadata for: 1. Maintaining the meaning and value of the data 2. Fill out a catalog or clearinghouse. 3. Assist in data exchange. Because SDTS became data exchange standards, content metadata is used primarily for determine the suitability of the data for the purposes of the user. There are close links between metadata elements Metadata Standards and SDTS contained in the data quality rules, and elsewhere in SDTS transfer rules. Because the metadata standard used to load metadata for digital spatial data retrieval through a clearinghouse (metadata to determine the location, image access, use, and dissemination), these elements may be contained in the SDTS transfer rules. 2.2 SPOT-4 Metadata Metadata derived from SPOT-4 satellite image data in a format DIM, some of its uses is: 1. To assist in organizing and maintaining an investment in spatial data. 2. To provide information on the ownership of data in the catalog data, and other data users Clearinghouse (Clearinghouse is a geospatial database management system that is being developed in a distributed global environment). 3. To obtain information in the process and interpret the data received from external sources. To achieve these objectives, the preparation of metadata SPOT-4 should be done by considering a variety of things, so that the resulting information can be used by different parties. Metadata information is based on four characteristics that determine the role of metadata, which are: 1. Availability - the information necessary to determine the availability of data 2. Usage - information required to determine the usefulness of the data 3. Access - the necessary information about the procedure to obtain the data 4. Transfer - the information needed to process and use the data. In general, SPOT-4 metadata has multiple levels that can be used: 308




1. Discovery metadata is a the minimum information given to explain the contents of the data source. This metadata type certainly can not meet the category of metadata that can be applied at the international level. 2. Exploration metadata is a more detailed information is given in explaining the contents of the data source. Type of metadata is expected to help the user data for analysis purposes. 3. Exploitation metadata is a metadata that contains information of data access, data transfer, load of data, interpret the data and use of data for an application. 3. DISCUSSION 3.1 Problems In Making Metadata Manually Problems faced from making metadata manually on a system that is currently in effect at the Institute of Aviation and Space Agency (LAPAN) are: a. The process of making SPOT-4 image metadata manually takes a relatively long time between 3 to 5 minutes for one metadata. b. The process of making SPOT-4 image metadata still uses the conventional system performed several moments before inputted into the computer. c. The results of image metadata creation SPOT-4 is through the process of checking or correction made by the administrator, the process is still prone to mistakes done by the administrator (human error). Given some of these problems, the process of metadata creation SPOT-4 images becomes time consuming and impractical. Problems often occur when the admin was inattentive in storing the converted metadata to TXT format, so that the metadata creation process running ineffectively. 3.2 Approach A bundle of SPOT-4 data contains multiple image files including data files with TIF file format and file metadata with DIM file format. In the method of conversion or imports of this data, the files are converted or made into a single bundle containing image data file, the file headers with ERS file format, and metadata files with TXT file format. For its automation techniques, SPOT-4 files that exist (in huge quantities) were placed in a single folder. From the files are created list file containing the names of the SPOT-4 files by using batch program. The objective of this list is to run a conversion program or import data SPOT-4 in the amount of data which is very much automatically so we do not need to input SPOT-4 data files one by one into data imports of program. This makes automation program has become more efficient and does not require a large number of operators. 4.

CONVERSION RESULT

As a comparison between manual method with the automatic, it will be presented the results today manual method. The initial step in manual method is to copy the file metadata SPOT-4.DIM, after which the file is opened and the data will be defined which will be loaded into the metadata. In the marked area is the data that should be entered into the file metadata.txt, the next step to do is to enter KJ SPOT of metadata.DIM, as shown in Figure 1. In KJ SPOT, K - is the latitude, and J - is the longitude which will form the intersection of the reference line layout of the images within the metadata. To determine the extent of the limits of SPOT-4 satellite images metadata it is necessary to also limit the North, South, West, and East boundaries of the metadata.DIM as shown in Figure 2. In addition to borders, date should also be included to determine when metadata is produced as shown in Figure 3. This manual method takes between 3 minutes to 5 minutes to create a metadata. The result of the automation of data Imported SPOT-4 is a bundle file that contains the image data file, the file headers with ERS file formats, and metadata files with TXT file format. Imported metadata file contains the results of the parameters for geometric and radiometric correction. These parameters include the scene orientation, incidence angle, sun azimuth, sun elevation, mean elevation Rectification, physical bias, physical gain, and solar irradiance value. The speed of the process is a key indicator of the efficiency of the software. So as to compare the speed of the conversion process or import data to SPOT-4 multispectral images between automatic method and the manual method. The results of the comparison are as shown in Table 1.

Figure 1. KJ SPOT Metadata.DIM 309




Figure 2. Boundary of the Metadata.DIM

Figure 3. Metadata date Table 1. Comparison of the data conversion process time for SPOT-4 multispectral images Time (seconds) No

Number of data Manual

Automated

1

1 scene

72.14

9.96

2

5 scenes

363.20

65.32

3

10 scenes

721.40

128.82

Whereas for the results the comparison of time for the conversion process or import data to SPOT-4 panchromatic image between the automatic and the manual method as shown in Table 2. Table 2. Comparison of the data conversion process time for SPOT-4 panchromatic image Time (seconds) No.

Number of Data Manual

Automated

1

1 scene

39.99

9.88

2

5 scenes

199.95

65.06

3

10 scenes

399.90

128.72

To determine the quality of the results of the automation process of data conversion or import SPOT-4, the evaluation aimed to prove that the import data file is not changed or equal to the data prior to import in terms of the number of 310




rows and columns, the number of bands, digital number (DN) and the coordinates of the center of the image. The evaluation carried out on a sample of SPOT-4 image data that have been imported. To find out if there are changes to the digital number, then take a sample of four pixels from the upper left, upper right, lower right and lower left. The results of the comparison are as shown in Table 3. Table 3. Digital Number of SPOT-4 images before and after import. No

Coordinates

Digital Number Before

Digital Number After

(Easting, Northing)

Import (B1, B2, B3, B4)

Import (B1, B2, B3, B4)

1

(647117.03E, 193732.85N)

(111, 94, 160, 195)

(111, 94, 160, 195)

2

(701814.67E, 191035.85N)

(120, 86, 219, 176)

(120, 86, 219, 176)

3

(686077.40E, 133889.92N)

(116, 107, 73, 182)

(116, 107, 73, 182)

4

(638279.03E, 143310.91N)

(156, 178, 137, 185)

(156, 178, 137, 185)

To evaluate the quality of the results, also performed a comparison between the number of rows, number of columns the number of bands and pixel size of the image before and after import. Comparison of the number of rows, number of columns the number of bands and pixel size of the image before and after the import process is shown in Table 4. Table 4. SPOT-4 Multispectral data before and after conversion No

Aspect

Before Conversion

After Conversion

1

Row Number

3380

3380

2

Column Number

3599

3599

3

Band Number

4

4

4

Pixel Size

20 m

20 m

From Table 4, it appears that the number of rows, number of columns the number of bands and panchromatic image pixel size of SPOT-4 before and after the import process has not changed. As for the metadata, there are a lot of changes, as shown in Figures 5 and 6.

Figure 5. Metadata before conversion

311




Figure 6. Metadata after conversion 5.

CONCLUSIONS

Metadata Conversion System SPOT-4 may be the solution of problems in the National Aeronautics and Space Agency (LAPAN), which in the process of metadata creation there was no error and does not require a long time. When compared with the manual method, automation software conversion or data import that is built works faster and more efficiently. Another advantage of the software is generating metadata file automatically, not produced in the conversion manual or data import. The software requires only one operator that is capable of handling a high volume of work, previously requiring a lot of operator (efficient Human Resources). For quality results, SPOT-4 images before and after conversion or import process also has not changed. So that import conversion software or can be used for daily operations. The average conversion time by using this program is 9.96 seconds, compared to the manual method 300 seconds, resulting in a single day can automatically convert 3250 scene, compared to 100 scene manually. REFERENCES: Bruch and Strater. 1974. Information Systems: Theory and Practice. California: Hamilton Publishing Company. Cook, B.G. 1977. Land Resource Information System: Use and Display. In: A.W Moore & S.W. Bie (eds.). Uses of Soil Information System. Wageningen: Public And Documentation CRISP, SPOT (Satellite Pour l'Observation de la Terre), http://www.crisp.nus.edu.sg/ ~ research / tutorial / spot.htm, Accessed May 14, 2012. George R. Terry.1962. Office Management and Control. Homewood, Ilinois: Richard D. Irwin Inc.. Gordon B. Davis. 1974. Management Information System: Conceptual Foundation, Structure, and Development. Aucklland: McGraw-Hill International Book Company. Horton, I, Beginning Visual C + + 2005, Wiley Publishing Inc., 2005. International Organization for Standardization, Geographic Information – Metadata (ISO19115/19139:2003), 2003. accessed on 12 April 2012. SNI, BSN, 7335_2008. Indonesia National Standard / National Standardization Agency. URL: http://www.SNI7335/2008/metadata/spasial.pdf Accessed on 10 April 2012.

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