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All Journal JURNAL TEKNOLOGI LINGKUNGAN Journal of Degraded and Mining Lands Management International Journal of Remote Sensing and Earth Sciences (IJReSES) Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Muhammad Priyatna, Muhammad
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Environmental Science Health Professions Public Health

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Informasi Sebaran Titik Panas Berbasis WebGIS untuk Pemantauan Kebakaran Hutan dan Lahan di Indonesia Hidayat, Taufik; Priyatna, Muhammad; Sutanto, Ahmad; Alkhudri, Aby; Khomarudin, Rokhis
Jurnal Teknologi Lingkungan Vol. 20 No. 1 (2019)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.551 KB) | DOI: 10.29122/jtl.v20i1.2961

Abstract

ABSTRACTThe Remote Sensing Application Center – LAPAN has resulted in information on hotspot spreading. Availability of information monitoring the distribution of hotspots latest rapid, precise and accurate can improve the remote sensing application to support the management of forest resources and establish a monitoring system that is accountable and can be a reference in the organization of activities of forest fire control and land at the same time participate in managing, maintaining safety as well as the preservation of Indonesia’s natural resources is sustainable. Given the importance of information and communication in disaster crisis management, efforts to facilitate the implementation of dissemination of hotspots distribution information to the wider community should properly be realized. One application is to develop a Web-based dissemination system Geographic Information System with Geonode application. The method used in this research is a prototype with open technology. Geonode can integrate that information to the layers with web mapping systems and the internet. The opensource geoportal system is built, the result of a combination of Django framework and Python programming language that is capable of providing dynamic spatial visualization interactively and connected to other electronic information networks. This Dissemination System can be used for decision makers in preparation of planning, development, monitoring, and response to an emergency disaster of forest and land fires in Indonesia, as well as a reference in the field of innovative technology and application of Geospatial information.Keyword: hotspots, forest fires, emergency response, Geonode, dissemination, web applications  ABSTRAKPusat Pemanfaatan Pengideraan Jauh-LAPAN telah menghasilkan informasi sebaran titik panas. Ketersediaan informasi pemantauan sebaran titik panas terkini yang cepat, tepat dan akurat dapat meningkatkan pemanfaatan penginderaan jauh untuk mendukung pengelolaan sumber daya kehutanan dan membangun sistem pemantauan yang akuntabel dan dapat menjadi acuan dalam penyelenggaraan kegiatan pengendalian kebakaran hutan dan lahan sekaligus ikut serta dalam pengelolaan, menjaga keselamatan serta kelestarian sumber daya alam Indonesia yang berkelanjutan. Mengingat pentingnya informasi dan komunikasi dalam penanggulangan krisis akibat  bencana, maka upaya memudahkan pelaksanaan penyebarluasan informasi sebaran titik panas masyarakat luas dengan baik perlu diwujudkan. Salah satu pengaplikasiannya adalah dengan mengembangkan sistem diseminasi berbasis Web Sistem Informasi Geografis dengan aplikasi Geonode. Metode yang digunakan dalam penelitian ini adalah purwarupa dengan teknologi terbuka. Geonode dapat mengintegrasikan informasi tersebut dalam layer-layer sistem pemetaan web dan internet. Geonode merupakan sebuah sistem geoportal opensource gabungan antaran framework Django dan bahasa pemograman Python yang mampu menyajikan visualisasi spasial dinamis secara interaktif dan terhubung ke jaringan informasi elektronik lainnya. Sistem diseminasi ini dapat dipakai untuk pengambilan keputusan dalam persiapan perencanaan, pembangunan, pengawasan, dan respon terhadap keadaan darurat bencana kebakaran hutan dan lahan di Indonesia, serta sebagai referensi dibidang teknologi inovatif dan penerapan informasi Geopasial.Kata kunci: titik panas, kebakaran hutan, tanggap darurat, Geonode, diseminasi, aplikasi web  
SPECTRAL CHARACTERISTICS OF FLASH FLOOD AREAS FROM MEDIUM SPATIAL OPTICAL IMAGERY Priyatna, Muhammad; Khomarudin, Muhammad Rokhis; Chulafak, Galdita Aruba; Wijaya, Sastra Kusuma
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 2 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3666

Abstract

This study aims to investigate surface reflectance changes over flash flood areas in Nusa Tenggara Timur, Indonesia. Fifteen sample points from Sentinel-2 satellite imagery were used to analyse the differences in reflectance of areas before and after flash flood events. The method used involved analysis of the significant differences in the dreflectance values of each Sentinel-2 channel. The analysis results show that channels 6, 7, and 8A displayed significant differences compared to the others with regard to reflectance before and after flooding, for both settlements and shrubs. The results could be used for further research in building a reflectance index for the rapid detection of affected areas, with a focus on these channels.
New Approach to Mapping Regional Vulnerability in Controlling Tuberculosis Disease in Indonesia Herawati, Maria Holly; Hermawan, Asep; Dasuki, Dasuki; Supratikta, Hadi; Asyary, Al; Khomarudin, M Rokhis; Priyatna, Muhammad; Raflizar, Raflizar; Kristina, Kristina; Pracoyo, Noer Endah; Bisara, Dina; Purnami, Cahya Tri; Suteja, Mentari Nur Farida; Bachtiar, Yusrial; Sukoco, Noor Edi Widya; Lasut, Doni
Kesmas Vol. 19, No. 5
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tuberculosis (TB) in Indonesia is still a health problem. The TB prevalence in Indonesia ranks second in the world after India in 2023. Regional factors, inadequate healthcare facilities, and limited resources (financial, human, and infrastructure) are challenges requiring innovation to help the government control TB. TB eradication efforts need to be made with a comprehensive and effective approach. One method used is to look at the vast territory of Indonesia, therefore, mapping the TB disease vulnerability is a highly recommended method. The use of a Geographic Information System is expected to help map the TB vulnerability areas in Indonesia. Given the existence of several epidemiological, socio-geographic, and environmental factors influencing TB, the question arises of how to map TB vulnerability areas in Indonesia. This study used a cross-sectional design, secondary data was collected from several sources, and a vulnerability analysis was performed by considering several socio-environmental epidemiological variables. Furthermore, after the analysis, the TB area vulnerability category would be obtained along with a map of TB vulnerability areas in Indonesia according to regional and district analysis units. This study produces a TB susceptibility index and map in Indonesia for the regions of Sumatra, Java-Bali, and other regions.
The use of multi-sensor satellite imagery to analyze flood events and land cover changes using change detection and machine learning techniques in the Barito watershed Priyatna, Muhammad; Wijaya, Sastra Kusuma; Khomarudin, Muhammad Rokhis; Yulianto, Fajar; Nugroho, Gatot; Afgatiani, Pingkan Mayestika; Rarasati, Anisa; Hussein, Muhammad Arfin
Journal of Degraded and Mining Lands Management Vol. 10 No. 2 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.102.4073

Abstract

Indonesia is one of the countries in the world that is frequently affected by floods. Flood disasters can have various negative impacts and therefore need to be analyzed to determine prevention and mitigation measures. This study examined land cover change, flood detection, and flood distribution using multitemporal Sentinel-1 and Landsat-8 satellite imagery in the Barito watershed. A combination of change detection and the application of the Otsu algorithm was used to detect floodplains from Sentinel-1 imagery. Land use/land cover (LULC) changes are detected using a combination of change detection and machine learning in the form of a random forest algorithm. The overlay technique was used to analyze the distribution of floodplains. In this study, the floodplain in the study area was mapped to 109,623 ha. The change detection method detects a decrease in the areas of primary forest, secondary forest, fields, rice fields, shrubs and ponds, respectively, by 13,020 ha, 116,235 ha, 259 ha, 146,696 ha, 47,308 ha, and 9,601 ha. Settlements, bare land, plantations and water bodies increase by 14,879 ha, 64,830 ha, 218,916 ha, and 34,768 ha, respectively. Flooding was mainly found in the classes of rice fields, water bodies and primary forests.
Co-Authors A.A. Ketut Agung Cahyawan W Afgatiani, Pingkan Mayestika Ahmad Sutanto, Ahmad Al Asyary Alkhudri, Aby Asep Hermawan Bachtiar, Yusrial Cahya Tri Purnami Chulafak, Galdita Aruba DASUKI DASUKI Dina Bisara Doni Lasut Fajar Yulianto Hussein, Muhammad Arfin Khomarudin, Muhammad Rokhis Khomarudin, Rokhis Kristina Kristina M Rokhis Khomarudin, M Rokhis Maria Holly Herawati Noer Endah Pracoyo Noor Edi Widya Sukoco Nugroho, Gatot Raflizar Raflizar Rarasati, Anisa Sastra Kusuma Wijaya Supratikta, Hadi Suteja, Mentari Nur Farida