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All Journal Jurnal Teknologi Perikanan dan Kelautan Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Jurnal Ilmu dan Teknologi Kelautan Tropis Jurnal Ilmu-Ilmu Perairan dan Perikanan Indonesia AGRISAINS JURNAL ILMIAH PLATAX ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Perencanaan Wilayah dan Kota Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Journal of Applied Geospatial Information AGRIKAN Jurnal Ilmiah Agribisnis dan Perikanan Jurnal Penelitian Pengelolaan Daerah Aliran Sungai Bawal : Widya Riset Perikanan Tangkap Jurnal Kelautan Nasional Jurnal Segara Jurnal Sosial Ekonomi Kelautan dan Perikanan Jurnal Iktiologi Indonesia (Indonesian Journal of Ichthyology) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Setyo Budi Susilo
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Physics Social Sciences

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Indeks Keberlanjutan Pembangunan Pulau Kecil untuk Wisata Bahari Menggunakan Modifikasi Kombinasi Rapsmile dan Rapbeachtour (Studi Kasus Pulau Benan dan Pulau Abang, Kepulauan Riau) Apdillah, Dony; Susilo, Setyo Budi; Kurniawan, Rika; Amrifo, Viktor
Agrikan: Jurnal Agribisnis Perikanan Vol 13, No 1 (2020)
Publisher : Sangia Research Media and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29239/j.agrikan.13.1.127-138

Abstract

Penelitian ini bertujuan untuk menilai status keberlanjutan pembangunan pulau kecil untuk kepentingan pariwisata bahari di Pulau Benan dan Pulau Abang, Kepulauan Riau. Modifikasi dari kombinasi metode Rapsmile dan Rapbeachtour menghasilkan Rapsmiletourman yang berbasis metode Rapfish telah digunakan dalam kajian ini. Modifikasi metode dimaksudkan untuk melengkapi metode sebelumnya agar dihasilkan metode yang memiliki kekhususan dalam menilai pembangunan pulau-pulau kecil yang berorientasi spesifik pada kepentingan pariwisata bahari. Hasil penelitian menunjukan bahwa pembangunan pulau kecil di Pulau Benan untuk kepentingan pariwisata bahari berada dalam status cukup berkelanjutan sementara Pulau Abang masih berada dalam status kurang berkelanjutan. Berdasarkan indikator (atribut) dari lima dimensi yang dipertimbangkan, dimensi teknologi dan kelembagaan di kedua pulau memberikan peran yang besar dalam membentuk indeks keberlanjutan pembangunan pulau.
Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS Devy, Nanda Riska; Agus, Syamsul Bahri; Susilo, Setyo Budi
Journal of Applied Geospatial Information Vol 7 No 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.6719

Abstract

Rob floods caused by rising sea levels are a natural disaster that can potentially threaten coastal areas, especially in Indonesia. Tidal floods seriously threaten coastal areas, especially East Luwu Regency. Environmental factors and rapid growth on the coast of East Luwu Regency influence the vulnerability and complexity of the environment. This research aims to identify the spatial distribution of tidal flood risk levels and predict tidal flood inundation in 2050 at the highest tide on the coast of Luwu Timur District. This effort is part of a disaster mitigation strategy due to rising sea levels. The modeling approach involves Geographic Information Systems (GIS) overlaying data and integrating DEM, HHWL, and SLR data for 28 years (1992-2020). The research results show that the coastal areas studied have a high risk related to tidal flooding, with locations closest to the coastline being at the highest risk. In contrast, the risk decreases as you move away from the coastline. Apart from that, the modeling results also estimate that in 2050, inundation will reach a height of 1,570 meters. The area affected by tidal flood inundation has increased in each sub-district. The inundation will spread evenly along the coastline and extend inland due to seawater intrusion. Coastal areas dominated by production land, such as ponds and agricultural areas, are predicted to experience the most extensive impact of inundation compared to other land uses. Emphasizes the need for mitigation efforts to minimize the impacts that may be caused by tidal floods in the future.
ESTIMASI PRODUKTIVITAS PRIMER PERAIRAN BERDASARKAN KONSENTRASI KLOROFIL-A YANG DIEKSTRAK DARI CITRA SATELIT LANDSAT-8 DI PERAIRAN KEPULAUAN KARIMUN JAWA Nuzapril, Mulkan; Susilo, Setyo Budi; Panjaitan, James P.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2017.v14.a2548

Abstract

Sea primary productivity is an important factor in monitoring the quality of sea waters due to his role in the carbon cycle and the food chain for heterotrophic organisms. Estimation of sea primary productivity may be suspected through the values of chlorophyll-a concentration, but surface chlorophyll-a concentration was only able to explain 30% of the primary productivity of the sea. This research aims to build primary productivity estimation model based on chlorophyll-a concentration value of a surface layer of depth until depth compensation. Primary productivity model of relationships with chlorophyll concentration were extracted from Landsat-8 imagery then it could be used to calculated of sea primary productivity. The determination of the depth classification were done by measuring the attenuation coefficient values using the luxmeter underwater datalogger 2000 and secchi disk. The attenuation coefficient values by the luxmeter underwater, ranges between of 0.13-0.21 m-1 and secchi disk ranged, of 0.12 – 0.21 m-1. The penetration of light that through into the water column where primary productivity is still in progress or where the depth of compensation ranged from 28.75 – 30.67 m. The simple linier regression model between average value of chlorophyll concentration in all euphotic zone with sea primary productivity has high correlation, it greater than of surface chlorophyll-a concentration (R2 = 0.65). Model validation of sea primary productivity has high accuracy with the RMSD value of 0.09 and satellite-derived sea primary productivity were not significantly different. The satellite derived of chlorophyll-a could be calculated into sea primary productivity
DETEKSI TURBIDITY FRONT MENGGUNAKAN CITRA SATELIT SENTINEL-2 HUBUNGANNYA DENGAN OSEANOGRAFI DI ESTUARI BENGAWAN SOLO Susilo, Setyo Budi; Gaol, Jonson Lumban; Al Hakim, Muhammad Abdul Ghofur
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 14 No. 3 (2022): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v14i3.40172

Abstract

Estuari merupakan daerah percampuran antara massa air tawar dan air laut yang menyebabkan zat-zat di dasar perairan naik ke permukaan sehingga konsentrasi unsur hara menjadi tinggi. Penelitian mengenai pertemuan massa air estuari masih perlu dilakukan terutama terkait turbidity front estuary karena untuk mengetahui kemampuan citra Setinel-2 dalam mendeteksi turbidity front. Selama ini penelitian ini terbatas dari data in situ, oleh karena itu teknologi penginderaan jauh coba diterapkan untuk mendeteksi turbidity front estuary. Penelitian ini bertujuan untuk mengembangkan algoritma TSS lokal dan mendeteksi turbidity front berdasarkan citra satelit Sentinel-2. Metode penelitian ini menggunakan citra Sentinel-2 untuk mengetahui batas turbidity front berdasarkan TSS yang dibandingan dengan data in situ salinitas dan TSS sebagai validasi data. Hasil penelitian ini diketahui algoritma empiris yang diperoleh dari band ratio (merah/(biru+hijau+merah)) pada Sentinel-2 memiliki hasil yang terbaik dengan koefisien determinasi (R2) = 0,7409. Hasil citra satelit menunjukkan bahwa turbidity front estuary terjadi pada jarak 1,4 – 3 km, sedangkan pada data in situ terjadi pada jarak 2 – 4 km di muara Bengawan Solo. Terdapat perbedaan nilai TSS sebesar 1,9182 mg/L antara data in situ dengan citra satelit di daerah turbidity front estuary. Kondisi musim, curah hujan dan pasang surut memengaruhi konsentrasi dan jarak turbidity front dari muara sungai.
VERTICAL LAND MOTION AND INUNDATION PROCESSES BASED ON THE INTEGRATION OF REMOTELY SENSED DATA AND IPCC AR5 SCENARIOS IN COASTAL SEMARANG, INDONESIA Muhammad Rizki Nandika; Setyo Budi Susilo; Vincentius Siregar
International Journal of Remote Sensing and Earth Sciences Vol. 16 No. 2 (2019)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2019.v16.a3272

Abstract

Vertical land motion (VLM) is an important indicator in obtaining information about relative sea-level rise (SLR) in the coastal environment, but this remains an area of study poorly investigated in Indonesia. The purpose of this study is to investigate the significance of the influence of VLM and SLR on inundation. We address this issue for Semarang, Central Java, by estimating VLM using the small baseline subset time series interferometry SAR method for 24 Sentinel-1 satellite data for the period March 2017 to May 2019. The interferometric synthetic aperture radar (InSAR) method was used to reveal the phase difference between two SAR images with two repetitions of satellite track at different times. The results of this study indicate that the average land subsidence that occurred in Semarang between March 2017 and May 2019 was from (-121) mm/year to + 24 mm/year. Through a combination of VLM and SLR scenario data obtained from the Intergovernmental Panel on Climate Change (IPCC), it was found that the Semarang coastal zone will continue to shrink due to inundation (forecast at 7% in 2065 and 10% in 2100).
Co-Authors . Hendrawan Achmad Fahrudin Achmad Fahrudin Achmad Fahrudin Al Hakim, Muhammad Abdul Ghofur Alimudi, Saiful Amiruddin Tahir Amula Nurfiarini Arifin Taslim Ario Damar Daniel Monintja Devy, Nanda Riska Djadja S . Sjefei Djadja S. Sjafei Dony Apdillah Erni Kusumawati Fredinan Yulianda Heny Suseno Heny Suseno Ilham . Indra Jaya Inul Adkha James Parlindungan Panjaitan Jonson Lumban Gaol Kurniawan, Rika Luky Adrianto M Mukhlis Kamal M. F. Rahardjo M. Mukhlis Kamal Maartianus S. Baroleh Mennofatria Boer Muhammad Rizki Nandika Mulkan Nuzapril Nandika, Muhammad Rizki Paryono - Paryono Paryono Riyadi Subur, Riyadi Rokhmin Dahuri Rokhmin Dahuri Rokhmin Dahuri Rokhmin Dahuri Rokhmin Dahuri S. Wirjoatmodjo Santun R.P. Sitorus Santun R.P. Sitorus Septiyan Firmansyah Sri Suryo Sukoraharjo Syamsul Bahri Agus, Syamsul Bahri Viktor Amrifo Viktor Amrifo Vincentius P Siregar Vincentius Siregar Yoga Candra Ditya Yulia Asyiawati Yulia Asyiawati Yulius Yulius