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Enhancing Accuracy in Detection and Counting of Islands Using Object-Based Image Analysis: A Case Study of Kepulauan Seribu, DKI Jakarta Jaya, Laode Muhammad Golok; Muchtar, Mutmainnah; Sarimuddin, Sarimuddin; Hairani Idrus, Sitti
Indonesian Journal of Geography Vol 56, No 2 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.82037

Abstract

Based on previous observations, a series of steps using digital image processing methods is proposed for the automatic detection and counting of islands to avoid inaccuracies from satellite imagery by leveraging morphological properties of object. The need for accurate spatial data regarding the number of islands in Indonesia is crucial for various developmental purposes. Many small islands known to have beautiful landscapes remain unaccounted for due to the vast territorial waters of the country, posing challenges to manual evaluation of the numbers and distributions. Remote sensing methods offer a viable solution for efficiently counting and inventorying islands. Therefore, this study aimed to detect islands in Kepulauan Seribu, located north of DKI Jakarta, through the thresholding-based segmentation process and count the total number using morphological information. The methodology applied was Object-Based Image Analysis (OBIA), including image gray-scaling, thresholding, morphological operations, connected component labeling, and region-based object counting. The results obtained showed 111 islands, compared to direct observation of image from which 104 were found, with detection accuracy of 93.27%. The discovery not only contributes valuable insights into the specific region but also serves as a basis for potentially applying digital image processing methods on a larger scale to recalculate the number of Indonesian islands. Such recalculations could play a crucial role in informing and guiding future developmental initiatives. 
Pemetaan Jaringan Jalan Kabupaten Berbasis SIG Putra, Adris Ade; Jaya, Laode Muhammad Golok; Makmur, Muammar; Nuhun, Ridwan Syah; Takdir, Riyan Abdillah
SemanTIK : Teknik Informasi Vol 10, No 1 (2024):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i1.47686

Abstract

Jalan sebagai bagian dari sistem transportasi berperanan penting dalam mendukung kegiatan perekonomian dan sosial masyarakat. Dalam hal menyediakan infrastruktur jalan yang baik perlu dilakukan penyusunan basis data. Tujuan penelitian adalah pemetaan kondisi geometrik jalan yang menghubungkan ruas Jalan Latoma - Routa Kabupaten Konawe berbasis Sistem Informasi Geografis (SIG). Hasil penelitian menunjukan berada pada ketinggian puncak sekitar 1401-1900 meter dengan luas area 8.027 Ha dan ketinggian rendah kurang dari 400 meter untuk luas area 61.652 Ha serta luas area terluas sebesar 144.092 Ha dengan ketinggian 401-900 meter, maka perlu penurunan ketinggian atau cutting agar dapat dilewati kendaraan. Pada kemiringan lereng untuk area jalan rencana dengan luas area sebesar 100.123 Ha dengan klasifikasi lereng 25-45% dikategorikan curam. Untuk area seluas 82.181 Ha dikategorikan sangat curam dengan klasifikasi lebih 46%. Untuk klasifikasi lereng yang datar memiliki luas area 16.480 Ha. Kata kunci; Jalan, Transportasi, Kemiringan, Ketinggian
Implementasi GeoNode untuk pembuatan Aplikasi Geoportal di Kabupaten Kolaka Timur Efendi, Ilham Julian; Jaya, Laode Muhammad Golok; Mangidi, Uniadi; Sajiah, Adha Mashur; Agustan, Agustan; Karim, Abdul
SemanTIK : Teknik Informasi Vol 10, No 1 (2024):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i1.47441

Abstract

Indonesia memiliki kebijakan yang dinamakan Satu Peta untuk keperluan perkembangan Infrastruktur Data Geospasial (IDGS) atau Infratsruktur Data Geopsasial (IDS) hal tersebut bertujuan untuk meningkatkan peringkat Indonseia pada Ease of Doing Bussiness (EODB), agar dapat terealisasi dapat dilakukannya implementasi IDS menggunakan geoportal pada daerah Kabupaten Kolaka Timur. Penyusunan Geoportal menggunakan analisis topologi masalah dan penggunaan sistem GeoNode dalam pembuatan aplikasi. Format data spasial yang mengacu pada Simple Features Specification dengan menggunakan bentuk Structured Query Language. PostgreSQL merupakan Database Management System yang digunakan pada aplikasi serta menggunakan API dari GoogleMaps. Terdapat beberapa layer serta dokumen untuk melakukan penginputan atau pengunggahan. Dengan terciptanya aplikasi Geoportal Kabupaten Kolaka Timur dapat menunjukan informasi dengan memperoleh data mengenai lokasi pada Kabupaten Kolaka Timur sehingga dapat menarik investor menanamkan modalnya pada daerah tersebut. Kata kunci; GeoNode, Geoportal, Web
Surface deformation and its implications for land degradation after the 2021 Flores earthquake (M7.4) using differential interferometry synthetic aperture radar Purba, Joshua; Harisma, Harisma; Priadi, Ramadhan; Amelia, Rosa; Dwilyantari, Anak Agung Istri; Jaya, Laode Muhammad Golok; Restele, La Ode; Putra, I Made Wahyu Gana
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6819

Abstract

On December 14, 2021, an earthquake with a magnitude of 7.4 originated from the Flores Sea, impacting Kalaotoa Island in Indonesia, resulting in significant structural damage. Macroseismic observations at the site classified that there were 120 buildings slightly damaged, 108 buildings moderately damaged, and 201 buildings heavily damaged. The shakemap shows that Kalaotoa Island experienced VI-VII MMI shaking. The results of the field survey showed many indications of subsidence as many fractures were found in Kalaotoa Island. This study employed Differential Interferometry Synthetic Aperture Radar (DInSAR) to quantify land subsidence and uplift in Kalaotoa Island before and after the earthquake. Sentinel-1A satellite radar data from December 2 and December 14, 2021, were analyzed. The results revealed subsidence of up to 12 cm in Garaupa Raya Village and uplift of up to ±10 cm in Lembang Mate’ne Village. Approximately 50.50% of Kalaotoa Island experienced subsidence (39.4 km²), primarily in Garaupa Village (18.85 km²), while 49.02% of the island experienced uplift (38.2 km²), mostly in Lembang Mate’ne Village (19.03 km²). This spatial analysis underscores the efficacy of DInSAR in detecting and mapping surface deformation, offering critical insights for earthquake preparedness, mitigation efforts for impacted landscape topography, stability soils, structure of ecosystems, and infrastructure resilience.
Spatio-Temporal Analysis of Thermal Comfort in High-Density Residential Areas in the Urban Region of Unaaha Khudrin, Khudrin; Nurgiantoro, Nurgiantoro; Hidayat, Ahmad; Jaya, Laode Muhammad Golok; Herman, Boi; Kumar, Shivneel
Sustainability (STPP) Theory, Practice and Policy Vol. 5 No. 1 (2025): Sustainability (STPP) Theory, Practice and Policy June Edition
Publisher : Pusat Kajian Berkelanjutan UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/sdgs.v5i1.3131

Abstract

Thermal comfort plays a vital role in the health, productivity, and well-being of urban communities and serves as a critical indicator in sustainable urban planning. This study aims to analyze thermal comfort levels in dense residential areas and planned residential zones within the Unaaha urban area, using satellite data from two specific years, 2014 and 2024, selected to capture a decade of urban change. The methodology employs Landsat 8 OLI/TIRS imagery complemented by shapefile data of planned residential areas in Unaaha District, providing spatial context for detailed analysis. The spatial resolution and quality of the satellite imagery ensure reliable detection of land surface temperature and vegetation changes. A series of index transformations, including Urban Index (UI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Land Surface Temperature (LST), Modified Temperature Humidity Index (MTHI), and Thermal Index (TI), were applied to assess thermal comfort dynamics. Results indicate significant changes in thermal comfort between 2014 and 2024, with a shift in dominant categories from “uncomfortable” (60.5%) in 2014 to “less comfortable” (67.71%) in 2024 within dense residential areas. Evaluation of the 2024 planned residential zones reveals a predominance of “less comfortable” (45.34%) and “uncomfortable” (27.81%) classes. These findings suggest that current residential planning has not adequately balanced green open spaces and built-up areas, thereby limiting the natural cooling effects. This outcome aligns with previous studies emphasizing the critical role of green infrastructure in mitigating urban heat, underscoring the need for integrative planning approaches that prioritize thermal comfort in urban development.
The Impact of Green Economy Public Policy on Green Industry Sector Investment Idrus, Sitti Hairani; Jaya, Laode Muhammad Golok; Yusuf, Muhammad; Unga, Wa Ode Harliyanti; Bakti, Bakti
Jurnal Ar Ro'is Mandalika (Armada) Vol. 6 No. 1 (2026): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v6i1.5445

Abstract

This study explores the impact of green economy public policies on investment in the green industry sector. The transition to a green economy, driven by environmental sustainability goals, has led to significant policy changes aimed at promoting eco-friendly practices across various sectors. This research uses a qualitative literature review method to examine existing studies, reports, and academic papers on how public policies related to green economy initiatives influence investments in green industries. Key areas of focus include the role of government incentives, regulatory frameworks, market demand for sustainable products, and the financial risks and opportunities associated with green investments. The findings suggest that effective green economy policies can attract investments by providing financial incentives, reducing risks, and fostering innovation in clean technologies. However, challenges such as inadequate policy implementation, lack of awareness, and financial barriers still hinder the growth of green industry investments. This study contributes to the understanding of how green economy policies can shape investment flows in the green industry sector and provides recommendations for improving policy effectiveness to drive sustainable economic growth.