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All Journal J-Sil (Jurnal Teknik Sipil dan Lingkungan) MEDIA KONSERVASI Jurnal Bahtera - Jurnal Pendidikan Bahasa dan Sastra Indonesia Widya Winayata: Jurnal Pendidikan Sejarah Diponegoro Journal of Accounting Jurnal Keteknikan Pertanian Rekursif: Jurnal Informatika Jurnal Pseudocode FLYWHEEL : Jurnal Teknik Mesin Untirta Jurnal Pengabdian Kepada Masyarakat Universitas Bangka Belitung Turbo : Jurnal Program Studi Teknik Mesin IT JOURNAL RESEARCH AND DEVELOPMENT Machine : Jurnal Teknik Mesin At-Tawassuth: Jurnal Ekonomi Islam Jurnal Teknologi Informasi dan Terapan (J-TIT) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Report of Biological Education Technologic MACHINERY: Jurnal Teknologi Terapan Jurnal Teknologi Informasi Cyberku CELEBES Agricultural Borobudur Informatics Review Dharma Pengabdian Perguruan Tinggi (DEPATI) Electrician : Jurnal Rekayasa dan Teknologi Elektro APPA : Jurnal Pengabdian Kepada Masyarakat Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Yudi Setiawan
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Journal : MEDIA KONSERVASI

 1 
A Historical Review of Data and Information of Indonesian Mangroves Area Aswin Rahadian; Lilik Budi Prasetyo; Yudi Setiawan; Ketut Wikantika
Media Konservasi Vol 24 No 2 (2019): Media Konservasi Vol. 24 No. 2 Agustus 2019
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (962.871 KB) | DOI: 10.29244/medkon.24.2.163-178

Abstract

Quantification of the mangrove area in Indonesia was very diverse, which is quantified in the pre and post development of remote sensing technology. This causes uncertainty comprehensive information of mangrove in Indonesia. The planners at national and international level of faced with the problems of uncertainty information that has implications for the quality of data availability. Therefore, it is important to develop a comprehensive of mangrove extent and distribution database. The method used in-depth study literature on various publications related mangrove mapping in Indonesia and comparative analysis. This study aims to identify comprehensive information mangrove forests of Indonesia and analyze the factors which cause diversity of quantification area and reliability of data. We found 42 publications containing data and information on Indonesia's mangrove forests area, with 17 sources including detailed information per province. The study results showed that the difference mangrove quantification area was influenced by several main factors including analysis periode, differences in the concept and mangrove boundaries, basic data and scale, method of mangrove mapping, as well as regional coverage. Keywords: historical data, Indonesia, mangrove area  
Canopy Density Estimation Model in Peat Swamp Forest Using LiDAR Data and Landsat 8 OLI Satellite Imagery Saleh, Muhammad Buce; Malta Daerangga; Prasetyo, Lilik Budi; Yudi Setiawan; Sahid Hudjimartsu; Wijayanto, Arif Kurnia
Media Konservasi Vol. 29 No. 2 (2024): Media Konservasi Vol 29 No 2 May 2024
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.29.2.249

Abstract

Canopy density is one of the important parameters in measuring the forest conditions. Canopy density can be estimated by using a remote sensing technology system. Light Detection and Ranging (LiDAR) is an active remote sensing system which uses a laser that is emitted by a sensor to the objects on the earth surface. For a wide area, image utilization which solely relies on LiDAR is still relatively expensive, so it is necessary to develop a method that combine LiDAR data with other medium resolution images such as Landsat 8 OLI imagery. Therefore, this research was conducted to obtain the canopy density estimation model from LiDAR and Landsat 8 OLI data. The results showed that the best estimation model at the study site, PT Global Alam Lestari's peat swamp forest was FRCI = - 0.0171 + 8.691 GRVI. The equation model had coefficient of determination (R²) of 50.2%, standard deviation value (s) of 0.101, aggregate deviation (SA) value of 0.459, and correlation coefficient (r) between the actual FRCI and the estimation FRCI (best model) of 0.503.
Dynamic Change of Mangroves in Aceh Tamiang Regency using Landsat Temporal Data, 2000 to 2023 Marfi, Khairani Putri; Asy'Ari, Rahmat; Azelia Dwi Rahmawati; Ali Dzulfigar; Aulia Ulfa; Puspitasari, Raditya Febri; Yudi Setiawan; Neviaty P Zamani; Rahmat Pramulya
Media Konservasi Vol. 30 No. 2 (2025): Media Konservasi Vol 30 No 2 May 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.2.344

Abstract

Mangroves, known for their high productivity, play vital roles in physical, ecological, and economic aspects that benefit human life. However, these ecosystems are currently threatened by climate change and human activities. To address this challenge, Indonesia aims to rehabilitate 600,000 hectares of mangroves by 2024. Effectively monitoring changes in mangrove dynamics is crucial for achieving this goal. This study focuses on understanding the dynamic change of the mangrove land cover in Aceh Tamiang from 2000 to 2023. Mangrove dynamics in Aceh Tamiang are important because it has the largest mangrove area in East Aceh, which is decreasing due to conversion to the oil palm industry. The classification using random forest (RF) algorithm by utilizing VWB-IC (Vegetation-Water-Built-up Index Combined), which area NDVI, SAVI, ARVI, GNDVI, SLAVI, and EVI as vegetation indices; MNDWI and ANDWI as water indices; and NDBI as built-up index. The employment of this combination is necessary to enhance the accuracy of classification due to the addition of more input parameters to machine learning. The image data are acquired through Landsat 5 for 2000 and 8 and 9 satellites for 2023. The observed dynamics include mangroves transitioning into fishponds (768 ha) and plantations (2,679 ha) between 2000 and 2023. The processed data indicates a decrease in the Aceh Tamiaang mangrove area from 13,270 ha in 2000 to 9,386 ha in 2023. These results can be used to determine mangrove rehabilitation policies in Aceh Tamiang, Indonesia.
Co-Authors Aan Erlansari Aan Erlansari Abd Malik A Madinu Afid Nuryadi Agus Ponco Ahmad Mustofa Ajei Ibnu Rahmat Ali Dzulfigar Amelia Putri Angga Nurwanto Anosa Putri Ruise Arie Vatresia Arif Kurnia Wijayanto Asahar Johar Asep Suheri Aswin Rahadian Asy'Ari, Rahmat atik Prihatiningrum Aulia Ulfa Azelia Dwi Rahmawati Azizah Nur Islam Al Rosyid Boby Putra Perdana Boko Susilo Citra Putri Perdana Danik Septianingrum Desi Andreswari Desi Andreswari Dimas Anugrah H.A Diyah Puspitaningrum Doni Pranata Edi Irwan EKA SARI Eka Sari Wijiaanti Eka Sari Wijianti Eka Sari Wijianti Eka Sari Wijiyanti Endang Widi Winarni Erwin Nandes Etna Nur Afri Yuyetta Gilang Yulianta Hanum Resti Saputri Hardiansyah Hardiansyah Harry Imantho Haryono, Wasis Helsi Tia Vermala Herni Natasha Aulia I Wayan Astika I Wayan Pardi Ibnu Dinar Impron Irfan Wahyudi Iwan Giri Waluyo Julia Purnama Sari Ketut Sedana Arta Ketut Wikantika Kikin Hamzah Muttaqin Kurnia Anggriani LILIK BUDIPRASETYO M. Sidqi Albadawi. Malta Daerangga Marfi, Khairani Putri Misnawati Misnawati Misnawati. Moh Yanuar J Purwanto Muhammad Agus Muljanto Muhammad Buce Saleh Muhammad Ikhwan Ramadhan MUHAMMAD ILHAM Muhammad Irfan Septiyanda Muhammad Nurdiansyah Nabila Nadiya Khairunisa Neviaty P Zamani NEVIATY PUTRI ZAMANI Nur Rahmadhanti, Intan Nurul Renaningtias Oxa Aspera Endiviana Oxa Aspera Endiviana Pramulya, Rahmat Puspitasari, Raditya Febri R. Priyoko Prayitnoadi Rahmat Asy'ari Rahmat Asy’ari Resi Tri Utami Sahid Hudjimartsu Salsabila Nur'Aini Saparin, Saparin Selvianing Tiyas Slamet Widodo Sugiarto Sri Dadi Suhdi Suhdi Suhdi, Suhdi Sultan Arkar Syahrul Gunawan Taufiq Yuliawan Usnil Khotimah Utama, Ferzha Putra Verawati Ayu Lestari Wildan Maynardy Wicaksono Wiwik Handayani