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<![CDATA[PENENTUAN PRIORITAS PEMBAHARUAN PETA MANGROVE INDONESIA MENGGUNAKAN MODEL FOREST CANOPY DENSITY Studi Kasus Delta Mahakam Kalimantan Timur ]]>
<![CDATA[Wijaya, Muhammad Sufwandika]]>;
<![CDATA[Aryaguna, Prama Ardha]]>;
<![CDATA[Rudiastuti, Aninda Wisaksanti]]>
<![CDATA[ MAJALAH ILMIAH GLOBE Vol 20, No 2 (2018) ]]>
Publisher : <![CDATA[Badan Informasi Geospasial ]]>
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DOI: 10.24895/MIG.2018.20-2.858
<![CDATA[Deforestasi Mangrove menjadi salah satu perhatian karena dampak yang ditimbulkan tidak hanya merugikan ekosistem tetapi juga berdampak pada manusia. Fungsi ekosistem Mangrove yang hilang karena deforestasi seperti kemampuan untuk menahan erosi, meredam dan memecah ombak, menahan intrusi air laut, dan menyerap pencemaran. Peta Mangrove Indonesia merupakan salah satu produk dari Kebijakan Satu Peta (One Map Policy) yang dihasilkan melalui proses pemetaan yang melibatkan anggota Kelompok Kerja Mangrove Nasional. Namun pembaharuan terhadap peta ini diperlukan untuk mengetahui perubahan kondisi Mangrove tersebut. Untuk itu diperlukan sebuah metode yang tepat dan cepat untuk mengkaji perubahan penutup Mangrove seperti Forest Canopy Density (FCD). Model FCD adalah pemodelan digital yang mampu memberikan informasi perubahan kerapatan vegetasi secara cepat. Hasil dari pemodelan FCD di delta sungai Mahakam dari tahun 2014 – 2016 menunjukkan bahwa kerapatan Mangrove mengalami penurunan signifikan yaitu 0 – 68%. Beberapa lokasi menunjukkan penurunan kerapatan kanopi lebih dari 50%, dimana pada penelitian ini dianggap mengalami tingkat deforestasi tinggi. Sebaran eksisting mangrove yang mengalami deforestasi tinggi hasil model FCD adalah lokasi prioritas untuk dilakukan pembaharuan Peta Mangrove Indonesia. Model FCD untuk penentuan prioritas pembaharuan Peta Mangrove Indonesia memiliki akurasi total 84%. ]]>
<![CDATA[Habitat Suitability Mapping of Rastrelliger Brachysoma Using MODIS Image in WPP 711 ]]>
<![CDATA[Prama Ardha Aryaguna]]>
<![CDATA[ Indonesian Journal of Geography Vol 51, No 2 (2019): Indonesian Journal of Geography ]]>
Publisher : <![CDATA[Faculty of Geography, Universitas Gadjah Mada ]]>
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DOI: 10.22146/ijg.39919
<![CDATA[Important factors that needs to be understood in the management of fishery resources is fish habitat. Fish habitat is an ideal water conditions of a fish species to spawn, breed, feed and grow into adults. Distribution of fish habitat can be approach using variety method, such Habitat Suitability/Species Distribution Modeling. Remote sensing analysis is effective method in providing daily oceanography information. Modis is Remote sensing imagery can be used for modeling Rastrelliger brachysoma fish habitat. Date acquired MODIS image at 28 March 2015, depend on existing field data. The results indicate that, the highest probability of Rastrelliger brachysoma fish habitat location in WPP 711 are in the middle waters of the WPP border between the deep sea of Indonesia and the Pacific Ocean. The lowest probability value for habitat of Rastrelliger brachysoma fish is in the southern shallow waters of Bangka Belitung island which is around 0.1-0.25.]]>
<![CDATA[LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA ]]>
<![CDATA[Sanjiwana Arjasakusuma]]>;
<![CDATA[Projo Danoedoro]]>;
<![CDATA[Sigit Herumurti]]>;
<![CDATA[Yanuar Adji Nugroho]]>;
<![CDATA[Prama Ardha Aryaguna]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.4.2.187-200
<![CDATA[Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy. This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy. Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.]]>
<![CDATA[STUDY OF POTENTIAL LOCATIONS OF GREEN OPEN SPACE BASED ON PROCUREMENT CONVENIENCE IN WEST JAKARTA ]]>
<![CDATA[Prama Ardha Aryaguna]]>;
<![CDATA[Horas Maulite Andrey Gromiko]]>;
<![CDATA[Kartika Pratiwi]]>
<![CDATA[ JURNAL GEOGRAFI Vol 14, No 1 (2022): JURNAL GEOGRAFI ]]>
Publisher : <![CDATA[Universitas Negeri Medan ]]>
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DOI: 10.24114/jg.v14i1.27520
<![CDATA[The Procurement of Public Green Open Space (RTH) in DKI Jakarta Province is carried out by the DKI Jakarta Forestry Service based on the land status of the BPN. The procurement of green open space is passive based on requests from the community. The DKI Jakarta Forestry Service data shows West Jakarta's public green open space has only fulfilled 8.8%. This study aims to assist stakeholders in the procurement of green open space in terms of ease of procurement. The ease aspect is compiled from land-use parameters, BPN land status, spatial pattern zoning, SIPPT, RTH Assets, and raw rice fields. The analysis results show that many areas included in the green zoning in West Jakarta have turned the function of land into built-up land, making it difficult for the local government to acquire land. This research found alternative lands with existing non-built land use conditions and clear land status and potential spatial pattern zoning targeted as green open space land acquisition targets. The analysis results show that from 4071 plots of land, there are 784 plots of land that are very potential with 179 ha. For potential land, there are 3234 plots of land with an area of 301 Ha and 53 plots of land classified as standard with an area of 2.4 Ha. Land with great potential can be used as a procurement priority for the relevant local government in the procurement of green open space in terms of the ease of procurement aspect.Keywords: Green Open Space, GIS, Green Open Space Potential]]>
<![CDATA[Green Open Space Priority Modelling Using GIS Analysis in West Jakarta ]]>
<![CDATA[Prama Ardha Aryaguna]]>;
<![CDATA[Ghefra Rizkan Gaffara]]>;
<![CDATA[Dayu Ariesta Kirana Sari]]>;
<![CDATA[Ade Arianto]]>
<![CDATA[ Indonesian Journal of Geography Vol 54, No 2 (2022): Indonesian Journal of Geography ]]>
Publisher : <![CDATA[Faculty of Geography, Universitas Gadjah Mada ]]>
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DOI: 10.22146/ijg.68184
<![CDATA[Green open space is one of the most important land uses, especially in densely populated urban areas. Public Green Open Land in each area regulated in Law No. 1 of 2007 is at least 20%. Based on data from the Department of Creative Works, Land and Spatial Planning as well as the Environment Agency of DKI Jakarta, West Jakarta's Green open space asset area is 277.45 Ha of the total area of West Jakarta, which is 12543 Ha. There is a need for a study to determine the potential land for green open space in West Jakarta to catch up on the fulfillment of public green open space based on spatial and regional analysis. One of the GIS-based methods that can be used to determine potential green open space is the decision tree method. This method uses AHP analysis in its formulation based on experts in the relevant agencies. In total there are 8 parameters that influence in determining potential green open space in West Jakarta, namely flood risk, air quality, population, distance to roads, distance to water sources, building density and distance to green open space assets. The modeling results are divided into five classes ranging from very priority to not priority. The total area of land that is much prioritized to be used as green open space is 95.57 hectares spread out. The modeling results show that there are still potential lands to be used as green open spaces in West Jakarta.]]>
<![CDATA[Land Potential Analysis for Health Service Facilities (Puskesmas) in the Pinangsia Village, DKI Jakarta Province ]]>
<![CDATA[Prama Ardha Aryaguna, S.Si., M.Sc.]]>;
<![CDATA[Horas Maulite Andrey Gromiko]]>;
<![CDATA[Dayu Ariesta Kirana]]>
<![CDATA[ JPG (Jurnal Pendidikan Geografi) Vol 10, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jpg.v10i1.15634
<![CDATA[Provision of Health Facilities is one of the government's mandates in ensuring public health in accordance with the 1945 Constitution article 34 paragraph 3 "The state is responsible for the provision of proper health service facilities and public service facilities" and Law No. 36 of 2009 article 15. Based on data from the Health Service it shows there are still health service facilities that operate not on land owned by the Provincial Government of DKI Jakarta. Government health services located on land with a lease or contract mechanism are very prone to experiencing problems such as contract extensions, permits, etc. Through a geographic information system, a model of the priority locations for the procurement of health services was developed to become a recommendation for the DKI Jakarta government. Based on the results of the analysis, the number of potential parcels obtained is 23 potential parcels which are dominated by potential parcels with priority category 2 with a total of 16 parcels, followed by priority category 1 with a total of 7 parcels]]>
<![CDATA[SISTEM INFORMASI GEOGRAFIS KEBENCANAAN DI KOTA PALU ]]>
<![CDATA[Ghefra Rizkan Gaffara]]>;
<![CDATA[Prama Ardha Aryaguna]]>
<![CDATA[ Jurnal Ilmiah Sistem Informasi Vol. 1 No. 2 (2021): Jurnal Ilmiah Sistem Informasi ]]>
Publisher : <![CDATA[LPPM Universitas Bina Bangsa ]]>
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DOI: 10.46306/sm.v1i2.9
<![CDATA[Hazard is one of the threats caused by geological factors. Some of geological disasters that occurred in Indonesia are Earthquakes and Tsunamis. This is because Indonesia is geographically located at the confluence of the Asian-Australian plate which has dynamic conditions. So, there is a history of earthquakes and tsunamis in several areas. Palu City is one of the cities that is geographically located on the dynamic plate path. In 2018 there was an Earthquake and Tsunami disaster in Palu City which claimed many lives and materials. It is necessary to have an information system that is spatial in nature to provide information on disaster forecasts (Early Warning System) and also information about the affected areas and estimated losses. By using a Geographic Information System (GIS) areas that have risks can be mapped informatively regarding threats, area coverage and risks to the disaster. This study aims to provide information on the risk of earthquake and tsunami disaster in Palu City and efforts in disaster management in the area]]>
<![CDATA[OPTIMALISASI KETERJANGKAUAN LAYANAN BANK SAMPAH DI WILAYAH KELURAHAN KEBAGUSAN KOTA ADMINISTRASI JAKARTA SELATAN ]]>
<![CDATA[Primasmada, Danny]]>;
<![CDATA[Widyawati, Laili Fuji]]>;
<![CDATA[Yohan, Mohamad]]>;
<![CDATA[Aryaguna, Prama Ardha]]>;
<![CDATA[Suryandari, Ratnawati]]>
<![CDATA[ REKSABUMI Vol 3 No 1 (2024): Januari ]]>
Publisher : <![CDATA[LPPM Universitas Terbuka ]]>
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DOI: 10.33830/Reksabumi.v3i1.5311.2024
<![CDATA[Jakarta sebagai Ibukota Negara Indonesia yang tidak terlepas dari permasalahan persampahan. Persoalan persampahan di DKI Jakarta seperti tidak ada habisnya, hal ini terjadi karena adanya peningkatan jumlah penduduk dan jumlah kontribusi sampah serta jenisnya, salah satunya sampah kemasan yang sangat mendominasi dan juga sulit untuk terurai secara alami serta berujung pada semakin bertambahnya volume sampah yang dihasilkan oleh masyarakat. Berdasarkan informasi data yang telah diperoleh melalui Satuan Pelaksana Lingkungan Hidup Kecamatan Pasar Minggu Kota Administrasi Jakarta Selatan, di Kecamatan Pasar Minggu Jakarta Selatan terdapat 7 (tujuh) Kelurahan salah satunya Kelurahan Kebagusan dimana volume sampah yang terdapat di Kelurahan Kebagusan mengalami peningkatan setiap tahunnya dan mencapai kurang lebih 20 ton/hari. Tujuan penelitian ini yakni untuk menganalisis jangkauan optimal bank sampah di Kelurahan Kebagusan secara spasial, dengan metode penelitian kuantitatif deskriptif. Adapun variabel yang digunakan dalam penelitian ini diantaranya Persebaran bank sampah, Jangkauan pelayanan, dan Optimasi pelayanan. Teknik analisis yang digunakan yaitu Buffering dan perhitungan daya jangkau pelayanan (Isoline). Hasil daya jangkauan pelayanan bank sampah terluas yaitu Bank Sampah Flamboyan yang berlokasi di RW 02, sementara daya jangkauan pelayanan terkecil yakni Bank Sampah Durian di RT 003/08. Kemudian dilakukan penentuan rata-rata jangkauan maksimum pelayanan. Hasil perhitungan yang diperoleh jumlah rata-rata jangkau pelayanan maksimum yakni sejauh 569 meter yang dijadikan standar jangkauan optimal pelayanan bank sampah di wilayah Kelurahan Kebagusan. Selain itu, hasil daya jangkau pelayanan yang diperoleh telah ditemukan 3 klasifikasi pelayanan bank sampah di wilayah kelurahan kebagusan.]]>
<![CDATA[Modeling of Land Cover Changes in Banjarbaru City South Kalimantan Province ]]>
<![CDATA[Aswin Nur Saputra]]>;
<![CDATA[Muhammad Wahyu Saputra]]>;
<![CDATA[Hendy Fatchurohman]]>;
<![CDATA[Prama Ardha Aryaguna]]>
<![CDATA[ JURNAL GEOGRAFI Vol 16, No 1 (2024): JURNAL GEOGRAFI ]]>
Publisher : <![CDATA[Universitas Negeri Medan ]]>
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DOI: 10.24114/jg.v16i1.48121
<![CDATA[Urban areas often experience land cover changes. Banjarbaru is one of several cities in Indonesia that has experienced land changes. The relocation of the administrative center of Banjarmasin City to Banjarbaru City led to the development of settlements. One spatial analysis carried out to examine the phenomenon of land change is remote sensing techniques. The method that can be used is the Land Change Modeler from MOLUSCE in QGIS. This model uses the CAM (Cellular Automata Markov) method to identify land cover change and predict land cover distribution. CAM can understand and predict land change patterns by considering land use, vegetation, and cell spatial interactions. This modeling is based on land cover data for 2015 and 2020 and several supporting parameters such as DEM data and distance to roads. Based on the modeling results from 2015 and 2020, Banjarbaru City experienced a change in built-up land, with most of it occurring in the center of Banjarbaru City. Based on the Markov Chain method by looking at land changes in the previous year, the development of built-up land increased by about 8% of the Banjarbaru City area of 32917.41 hectares. Based on the prediction results, the development of built-up land is centered in the middle of Banjarbaru City, such as North and South Banjarbaru Districts, due to the development of residential development.Keywords: Land Cover, Land Change Modeller, Cellular Automata, Markov Chain]]>
<![CDATA[PEMETAAN TEMATIK DESA BERBASIS SISTEM INFORMASI GEOGRAFIS ]]>
<![CDATA[Gaffara, Ghefra Rizkan]]>;
<![CDATA[Aryaguna, Prama Ardha]]>;
<![CDATA[Kurniawan, Surya]]>;
<![CDATA[Nurhaidar, Wa Ode]]>
<![CDATA[ Tata Kota dan Daerah Vol. 16 No. 2 (2024): Jurnal Tata Kota dan Daerah ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Faculty of Engineering, Universitas Brawijaya ]]>
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DOI: 10.21776/ub.takoda.2024.016.02.6
<![CDATA[Bentuk pelaksanaan kegiatan penggunaan tanah, baik pertanian maupun non pertanian, sebagai upaya pemanfaatan tanah dalam upaya memberikan peningkatan nilai tanah sesuai dengan fungsi tanah, lingkungan hidup, kepentingan masyarakat dan waktu. berupa hasil atau jasa tertentu. Pemetaan batas desa merupakan bagian fundamental dalam penyelesaian batas wilayah secara keseluruhan, mendukung percepatan pelaksanaan Kebijakan Satu Peta, dan percepatan penyediaan peta dasar skala besar. Hal ini penting untuk menunjang keberlanjutan program sosial-ekonomi pemerintahan daerah serta mengatasi perselisihan batas wilayah. Penggunaan Sistem Informasi Geografis dalam pemetaan tematik desa adalah mempermudah dalam database inventarisasi dan pengelolaan 1 data 1 peta. Maksud dan tujuan penelitian yang akan dicapai adalah: memetakan informasi penggunaan lahan. Penelitian ini menggunakan metode pengumpulan data lapangan (survei lapangan) yang dilakukan dengan menggunakan survei digital, survei manual, dan survei kombinasi. Hasil penelitian ini berupa peta penggunaan lahan tematik sebagai upaya penguatan basis data pemetaan dasar dan tematik mengenai Penggunaan Lahan di Desa Buko Poso yang didominasi oleh lahan pertanian sebesar 86,50%. Hasil penelitian yaitu analisis spasial berupa peta tematik pemanfaatan lahan, tabel yang terdiri dari beberapa kelas pada peta pemanfaatan lahan dan diagram persentase pemanfaatan lahan.]]>
