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All Journal JOIV : International Journal on Informatics Visualization MAJALAH ILMIAH GLOBE Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan Formosa Journal of Science and Technology (FJST)
Yosef Prihanto, Yosef
Badan Informasi Geospasial
Religion Humanities Computer Science & IT Earth & Planetary Sciences Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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ANALISIS POTENSI TAMBAK GARAM MELALUI PENDEKATAN INTERPRETASI CITRA PENGINDERAAN JAUH : STUDI KASUS DI KAWASAN PESISIR KABUPATEN KUPANG Nahib, Irmadi; Suwarno, Yatin; Prihanto, Yosef
MAJALAH ILMIAH GLOBE Vol 15, No 2 (2013)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.664 KB) | DOI: 10.24895/MIG.2013.15-2.79

Abstract

ABSTRAKPemanfaatan citra penginderaan jauh untuk pengelolaan wilayah pesisir dapat dilakukan melalui analisis spasialatau kewilayahan. Citra penginderaan jauh dapat dimanfaatkan untuk identifikasi potensi sumberdaya di wilayahpesisir. Penelitian ini bertujuan untuk menganalisis spasial areal tambak garam (potensial dan eksisting), danmenganalisis kelayakan usaha budidaya tambak garam di wilayah pesisir Kabupaten Kupang. Metode yangdigunakan dalam penelitian ini adalah pendekatan interpretasi visual citra satelit resolusi tinggi, yang dikombinasikandengan pengolahan citra SRTM, serta pemanfaatan Peta RBI skala 1:25.000. Penelitian ini juga ditunjangsurvei lapangan untuk menguji kebenaran hasil interpretasi dan wawancara pengumpulan data parameter ekonomi.Hasil analisis menunjukkan dari lahan seluas ± 3.404,51 ha yang teridentifikasi berpotensi sebagai lahan tambak, ±731,41 ha merupakan areal penyangga berupa mangrove, sehingga luas areal yang dapat dimanfaatkan untukpengembangan tambak adalah ± 2.673,1 ha. Analisis ekonomi menunjukkan bahwa tambak garam layakdikembangkan. Hasil analisis diperoleh benefit cost ratio sebesar 2,20 dengan mendapat nilai net present valuesebesar Rp. 334.888.490 dalam pengusahaan selama 10 tahun. Usaha budidaya ini cukup mapan, bahkan tetapmampu bertahan jika terjadi kenaikan biaya sebesar 25 % dan produksi menurun hingga 25 %.Kata Kunci : Penginderaan Jauh, Tambak Garam, Analisis Spasial, Analisis Ekonomi.ABSTRACTUtilization of remote sensing imagery for coastal zone management can be done through spatial analysis. Remotesensing imagery can be used to identify resources potential in coastal areas. This study aims to analyze spatialdidtribution of salt ponds area (potential and existing) and to analyze the feasibility of salt pond cultures at KupangRegency. The method used in this studies are visual interpretation of high-resolution satellite imagery approach,combined with SRTM image, and utilization of RBI map at the scale of 1:25.000. This study is also supported by fieldsurveys to test the accuracy of the interpretation results, besides interview to fishermen to get economic parametersdata. The results of the analysis shows that among the area of 3,404.51 ha that is identified as a potential salt pond,731.41 ha (21,48 %) of the area is covered by mangrove and consider a buffer area. Therefore total area that can beused for developing salt pond is 2,673.1 ha (81,81 %). Moreover, the economic analysis shows that the salt ponds isfeasible to be developed. Fish pond culture should be developed with benefit cost ratio of 2.20 with Net PresentValue in 10 years. This cultivation is already well established, even still considered capable to survive in case thecost would increased by 25 % and production decreased by 25 %.Keywords: Remote Sensing, Salt Pond, Spatial Analysis, Economic Analysis.
Hydrological Analysis of Mini Hydro Power Plants (PLTM) Using The Flow Duration Curve Approach Bennuwardana, Nengah; Martha, Sukendra; Prihanto, Yosef; Waluyo, Dangan; Firmansyah, Firmansyah; Rifai, Bachtiar
JURNAL SYNTAX IMPERATIF : Jurnal Ilmu Sosial dan Pendidikan Vol. 6 No. 4 (2025): Jurnal Syntax Imperatif: Jurnal Ilmu Sosial dan Pendidikan
Publisher : CV RIFAINSTITUT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/syntaximperatif.v6i4.792

Abstract

Hydrological analysis is crucial in the planning of a Mini-Hydro Power Plant (PLTM). This study aims to examine the hydrological aspects of the Way Besai PLTM, located in Bonglai Village, Way Kanan Regency, Lampung Province. The Way Besai Mini-Hydro Power Plant (PLTM) is a runoff-river PLTM scheme located approximately 242 km north of Bandar Lampung City, Lampung Province, Indonesia. The data used include daily rainfall data from six rainfall stations, climate element data from the Radin Inten II Meteorological Station, and outflow data from the Besai PLTA. The rainfall data were analyzed for consistency using the Mass Curve method, with only three stations deemed consistent. Potential evapotranspiration was calculated using the Modified Penman method. Furthermore, the rainfall data were converted into daily discharge data using the F.J. Mock Rainfall to Runoff hydrological method. The catchment area is 449.14 km2 at the intake site and the average annual rainfall reaches 2,366 mm/year. The analysis results are used to determine the mainstay discharge (plant discharge) and the planned flood discharge through the Flow Duration Curve (FDC). Based on these results, the Way Besai Hydroelectric Power Plant is projected to have a generated power of 9.2 MW and an annual energy of 67.513 GWh resulting from the utilization of an effective water head of 67.45 m and a maximum plant discharge of 16.5 m3/second.
Geospatial Intelligent Analysis to Support Indonesian Airspace Defense Rahmandhala, Ilvan Dino; Supriyadi, Asep Adang; Prihanto, Yosef; Samingan, Muhammad; Gultom, Rudy Agus Gemilang
Formosa Journal of Science and Technology Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i9.11555

Abstract

This study highlights the importance of Geospatial Intelligence (GEOINT) analysis in supporting Indonesia's airspace defense. In modern military operations, especially air defense, the role of GEOINT is crucial as it enables real-time detection, mapping, planning, surveillance, and analysis of aerial threats. This research aims to analyze the role and potential of GEOINT in supporting Indonesia's airspace defense and to provide strategic recommendations for strengthening air defense. The findings of this study are expected to guide policymakers in enhancing the effectiveness and efficiency of air defense through the use of GEOINT, as well as supporting the development of necessary geospatial infrastructure. This study employs the SEIM (Sensor Effector Information Management) hierarchical approach to integrate various data sources and analytical tools to enhance detection, mapping, planning, and surveillance capabilities in the context of air defense. The study finds that GEOINT enables deeper tactical and strategic situation analysis and can optimize weapon assignments to increase efficiency in military conflicts. To effectively implement GEOINT, investments in technology, data infrastructure development, personnel training, and international cooperation are necessary. The implementation of remote sensing satellites capable of providing real-time, high-resolution imagery will enhance threat detection and monitoring capabilities.
The Facies Modeling of Muria Volcano in the Kedungbamban Area Using GIS Rahmandhala, Ilvan Dino; Supriyadi, Asep Adang; Prihanto, Yosef; Arief, Syachrul; Mulyaningsih, Sri; Wiloso, Danis Agoes
Formosa Journal of Science and Technology Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i9.11606

Abstract

Indonesia is an archipelago located in the Pacific Ring of Fire, known for its high volcanic activity. Indonesia is home to 129 active and 500 inactive volcanoes, representing 13% of the world's total. This research is expected to provide an overview of the facies of the Muria volcano and the geological aspects of the study area. To analyze and resolve issues in this study, geological mapping, and data processing are employed to make volcano facies models using GIS.  The volcanic facies in the study area are proximal facies, which can be divided into three zones: proximal facies of Muria basalt, proximal facies of Maar Bambang basanite, and proximal facies of Muria andesite.
Analysis of Sea Surface Temperature (SST) Patterns in Arafura Waters Using Google Earth Engine (GEE) for Early Detection of Environmental Threats Sadewa, Annisa Harum; Harsono, Gentio; Prihanto, Yosef; Haloho, Luwis Surani
Formosa Journal of Science and Technology Vol. 3 No. 11 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i11.12164

Abstract

Global warming that is happening today can result in an increase in sea surface temperatures. High sea surface temperatures can potentially disrupt the stability of ecosystems in Arafuru Waters. The waters of Arafuru are located in the south of Papua and border the country of Australia. This study aims to analyze the increase in sea surface temperature in waters using a satellite image processing method with Google Earth Engine (gee) software in a span of one year in 2021. The results obtained in this study are that the sea surface temperature value is around 28-300C which is in the medium category according to the Ministry of Marine Affairs and Fisheries. In this study, it is expected to be able to deal with environmental threats caused by rising sea surface temperatures, especially marine life.
Implementing Random Forest Algorithm in GEE: Separation and Transferability on Built-Up Area in Central Java, Indonesia Rudiastuti, Aninda W.; Lumban-Gaol, Yustisi; Silalahi, Florence E. S.; Prihanto, Yosef; Pranowo, Widodo S.
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.873

Abstract

Measuring the status of achievement of the SDGs is the task and concern of many countries in the world, including Indonesia. Indicators for achieving the SDGs enclose three main pillars, namely environmental, economic, and social. The updated land use/land cover information is needed for environmental pillars. One imperative land cover information is built-up land, which acts as a detector for expanding urban areas and measuring SDGs' target indicators. Indonesia's cultural diversity affects the distribution pattern of built-up land, especially settlements. This is a challenge in the up-to-date and rapid mapping of built-up land. This research aims to analyze the ability and transferability of the Random Forest model for built-up areas and settlements using Google Earth Engine (GEE) in Banyumas, Cilacap, and Tegal. Around 19 predictors from multi-sources satellites are integrated to identify four land cover classes. Discussion on predictor composition to improve model accuracy also carried on. The results showed that the algorithm separated four land cover classes, with the highest accuracy for separating water bodies and other classes (vegetation and open land), OA above 90%. Machine confusion regarding the separation between housing classes and other buildings was still found (F1 score 0.67 - 0.69). Applying the model to the other two areas resulted in a similar statistical trend to the trained model. However, the classification method developed in this paper can assist in the rapid description of land cover if up-to-date data from official sources are not available.
Co-Authors Arief, Syachrul Bachtiar Rifai Bennuwardana, Nengah Firmansyah Firmansyah Gentio Harsono Gultom, Rudy Agus Gemilang Haloho, Luwis Surani Irmadi Nahib Lumban-Gaol, Yustisi Rahmandhala, Ilvan Dino Rudiastuti, Aninda W. Sadewa, Annisa Harum Samingan, Muhammad Silalahi, Florence E. S. Sri Mulyaningsih Sukendra Martha Supriyadi, Asep Adang Waluyo, Dangan Widodo S Pranowo Wiloso, Danis Agoes Yatin Suwarno, Yatin