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All Journal Jurnal Hortikultura Indonesia (JHI) Jurnal Penelitian Pendidikan IPA (JPPIPA) Academy of Education Journal JURNAL ILMIAH AGRINECA Jurnal Pendidikan Kewarganegaraan Al Burhan: Jurnal Kajian Ilmu dan Pengembangan Budaya Al-Qur'an Journal of Indonesian Scholars for Social Research Matemar Jurnal Kurnia Mengabdi (jurnal Pengabdian Kepada Masyarakat) Jurnal Inovasi Pendidikan dan Pengajaran
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Height Above Nearest Drainage (HAND) as a Model for Rapid Flood Inundation Mapping Based on Remote Sensing and Geographic Information Systems in the Kapuas Sintang Sub Watershed Purwanto, Ajun; Paiman
Jurnal Penelitian Pendidikan IPA Vol 9 No 8 (2023): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i8.3037

Abstract

This study aims to map the flood inundation and the extent of the inundation in the study area using the HAND model. The data used in this study is DEM. The DEM is used to generate a hydrologic framework, including flow accumulation, drainage network, flow direction, elevation, and flow distance. The method used in this study is the HAND descriptor. The analysis in this study used spatial hydrological analysis and hypsometric analysis using zonal statistical tables in ArcGIS. Based on the results of the analysis of height above the nearest drainage it is known that the Kapuas Sintang sub-watershed has five classes of inundation, namely very high inundation, high inundation, moderate inundation, low inundation, and no inundation. Very high, high, and moderate inundation classes are spread over three sub-districts, namely Sintang, Dedai, and Tempunak sections. Sintang District has the widest distribution, followed by Dedai District and Tempunak District is the narrowest. Prediction of inundation area and flood area with HAND can be used to improve the new mapping model without involving additional data sources. The HAND model is a nice and simple tool that is useful for inundation studies as well as in inundation area prediction.
Utilization of Deep Learning for Mapping Land Use Change Base on Geographic Information System: A Case Study of Liquefaction Purwanto, Ajun; Paiman
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.5032

Abstract

This study aims to extract buildings and roads and determine the extent of changes before and after the liquefaction disaster. The research method used is automatic extraction. The data used are Google Earth images for 2017 and 2018. The data analysis technique uses the Deep Learning Geography Information System. The results showed that the extraction results of the built-up area were 23.61 ha and the undeveloped area was 147.53 ha. The total length of the road before the liquefaction disaster occurred was 35.50 km. The extraction result after the liquefaction disaster was that the area built up was 1.20 ha, while the buildings lost due to the disaster were 22.41 ha. The total road length prior to the liquefaction disaster was 35.50 km, only 11.20 km of roads were lost, 24.30 km. Deep Learning in Geographic Information Systems (GIS) is proliferating and has many advantages in all aspects of life, including technology, geography, health, education, social life, and disasters.
Analisis Peraturan Pencegahan Pencemaran Lingkungan Laut Dalam Hubungannya Dengan Tingkat Kesadaran Hukum Masyarakat Pesisir: Analysis of Regulations for Preventing Marine Environmental Pollution in Relation to the Level of Legal Awareness of Coastal Communities Abdul Rasyid As’ad; Indah Sulita; Paiman
Jurnal Matemar (Manajemen dan Teknologi Maritim) Vol. 4 No. 1 (2023): Matemar Juni 2023
Publisher : LPPM Akademi Maritim Nasional Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59225/e0yrke25

Abstract

Penelitian ini bertujuan untuk menganalisis regulasi yang dirumuskan guna membangun kesadaran hukum masyarakat dalam menjaga lingkungan wilayah pesisir dan laut dan nilai-nilai lokal kesadaran hukum masyarakat pesisir terhadap peraturan pencegahan pencemaran lingkungan wilayah pesisir dan laut. Metode penelitian yang digunakan dalam penelitian ini yaitu metode penelitian hukum empiris. Hasil penelitian menunjukkan bahwa ditemukan regulasi yang terkait dengan peraturan pencegahan pencemaran lingkungan laut terdiri dari peraturan internasional dan nasional. Peraturan internasional diantaranya adalah: United Nation Covention on the Law of the Sea 1982 (UNCLOS), Convention on the Prevention of Marine Pollution by Dumping of Wastes and Other Matter 1972 (London Dumping Conventio, dan International Convention for the Prevention of Pollution from Ships 1973 (Marine Pollution). Sedangkan peraturan nasinal diantaranya adalah: Undang-undang Nomor 32 Tahun 2009 tentang Perlindungan dan Pengelolaan Lingkungan Hidup, Undang-undang Nomor 32 Tahun 2014 Tentang Kelautan, Peraturan Pemerintah RI Nomor 21 Tahun 2010 Tentang Perlindungan Lingkungan Maritim dan Keputusan Menteri Kelautan dan Perikanan Nomor: KEP. 10/MEN/2002 tentang Pedoman Umum Perencanaan Pengelolaan Pesisir Terpadu. Tingkat kesadarn hukum masyarakat wilayah pesisir Kalibaru Cilincing Jakarta Utara dalam melaksanakan peraturan pencegahan pencemaran lingkungan laut masih tergolong rendah. Strategi yang dilakukan pemerintah daerah dalam rangka pencegahan pencemaran lingkungan wilayah pesisir dan laut Kalibari Cilincing Jakarta Utara masih pada level sosialisasi dan himbauan, belum menyentuh level penindakan.
Co-Authors Abbas, Rianat Abdul Rasyid As’ad Ahmed, Abdal Ajun Purwanto As’ad, Abdul Rasyid Desi Mardianti DIAN LESTARI Dwi Anggara, Jimmy Indah Sulita Intan Kusumawati Kurnia, Heri Kwartama, Agung ntn, riska Pasigai, Muhammad Ansar Prihadi, Adhitya Prihastini Oktasari Putri Sopani, Akhmad Sumiyatiningsih Tri Wibowo, Wahyu Wibisana, Dharend Lingga Yusri Kombih