Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

3.006

P-Index

This Author published in this journals

All Journal HAYATI Journal of Biosciences Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Perikanan dan Kelautan Jurnal Ilmu dan Teknologi Kelautan Tropis Indonesian Journal of Geography Journal of Marine and Aquatic Sciences ILMU KELAUTAN: Indonesian Journal of Marine Sciences Majalah Geografi Indonesia Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Kelautan Tropis Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information Journal of Science and Applicative Technology MAJALAH ILMIAH GLOBE Jurnal Perikanan Universitas Gadjah Mada Jurnal Penelitian Perikanan Indonesia Jurnal Kelautan Nasional Jurnal Segara International Journal of Remote Sensing and Earth Sciences (IJReSES) Habitus Aquatica : Journal of Aquatic Resources and Fisheries Management Jurnal Ilmiah Wahana Pendidikan Journal of Fisheries & Marine The International Journal of Remote Sensing and Earth Sciences (IJReSES)

Jonson Lumban Gaol

Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia

Author-ID : 268714

Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

Published : 47 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

Tingkat Kerentanan Wilayah Pesisir Kota Makassar Terhadap Pencemaran Sampah Nurmawati Nurmawati; Jonson Lumban Gaol; Marisa Mei Ling
Jurnal Ilmiah Wahana Pendidikan Vol 4 No 2 (2018): JURNAL ILMIAH WAHANA PENDIDIKAN
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.279 KB)

Makassar is one of the major cities in Indonesia with the densest concentration of population in coastal areas so that the pressure on this region is quite high. One of the main problems of Makassar is the existence of trash continues to increase. This study aims to determine the vulnerability level of coastal Makassar against trash pollution. The research was conducted on the Moon from May to July 2015. The research location is the coastal area of Makassar which includes eight subdistricts, namely: Subdistrict Biringkanaya, Tamalanrea, Tallo, Ujung Tanah, Wajo, Makassar, Mariso, and Tamalate. The data used are primary data and secondary data. Primary data collected from surveys and direct observation to the study site while secondary data obtained from the study of literature and related institutions in the city of Makassar. The results showed coastal subdistrict of Makassar city high potential to impact trash pollution. The vulnerability of the coastal area of Makassar against trash pollution are in the high category (very vulnerable).

KARAKTERISTIK DAN VARIABILITAS PARAMETER-PARAMETER OSEANOGRAFI LAUT JAWA HUBUNGANNYA DENGAN DISTRIBUSI HASIL TANGKAPAN IKAN Jonson Lumban Gaol; Bambang Sadhotomo
Jurnal Penelitian Perikanan Indonesia Vol 13, No 3 (2007): (Desember 2007)
Publisher : Pusat Riset Perikanan, BRSDM KP.

Penelitian kondisi oseanografi Laut Jawa telah dilakukan sejak 90 tahun yang lewat, sehingga data yang tersedia sudah cukup banyak. Studi ini bertujuan untuk menganalisis kembali data suhu dan salinitas yang diperoleh dari basis data world ocean data-2001 serta data deret waktu suhu permukaan laut dan konsentrasi klorofil-a hasil deteksi satelit dari basis data NASA. Analisis deret waktu dilakukan untuk melihat pengaruh musim dan iklim global terhadap lingkungan perairan dan sumber daya ikan di Laut Jawa. Hasil analisis menunjukkan bahwa variasi parameter-parameter oseanografi Laut Jawa dipengaruhi oleh angin muson dan iklim global ENSO dan variasi ini mempengaruhi distribusi ikan. This study based on remote sensing and in situ data, aimed to synthesize the effect of seasonal and interannual changes on the environment of Java Sea and its relationship with distribution of fish. Data of sea surface temperature, salinity, and chlorophyll-a data generated from Word Ocean Data- 2001 and NASA were used in the analysis. Time series analysis shows that variation of oceanographic parameters in Java Sea are affected by monsoon and ENSO and these variations affected on distribution of fish.

Distribusi Kapal Ikan pada Fase Bulan Gelap dan Terang Berdasarkan Data Sensor Visible Infrared Imaging Radiometer Suite (VIIRS) di Laut Jawa Jonson Lumban-Gaol; Risti Endriani Arhatin; Achmad Fachrudin Syah; Dony Kushardono; Jordan Tito Lubis; Nabilla Dhani Amanda; Yustie Amanda; Widya Octavia
Jurnal Kelautan Nasional Vol 14, No 3 (2019): DESEMBER
Publisher : Pusat Riset Kelautan

Kami menggunakan data harian sensor satelit Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) untuk pemetaan distribusi kapal-kapal ikan yang menggunakan cahaya untuk operasi penangkapan ikan selama periode 2015-2017 di Laut Jawa. Tujuan dari penelitian ini adalah untuk menganalisis perbedaan distribusi kapal-kapal ikan yang menggunakan cahaya untuk operasi penangkapan ikan antara fase bulan terang dan fase bulan gelap. Survei lapangan dilakukan untuk mengetahui jenis kapal ikan yang menggunakan cahaya lampu untuk operasi penangkapan ikan. Kami menganalisis perbedaan distribusi kapal penangkap ikan antara bulan terang dan bulan gelap di Laut Jawa. Hasil penelitian menunjukkan bahwa jenis kapal yang menggunakan lampu pada saat operasi penangkapan ikan adalah Pures seine dan Buoke ami. Jumlah rata-rata kapal penangkap ikan menggunakan lampu untuk operasi penangkapan ikan di fase bulan terang adalah 230 unit sedangkan fase bulan gelap adalah 1.118 unit. Analisis statistik uji-t menunjukkan ada perbedaan yang signifikan secara statistik antara rata-rata jumlah kapal ikan pada fase bulan terang dan bulan gelap.

DAMPAK GELOMBANG EKUATORIAL ROSSBY TERHADAP PRODUKTIVITAS PERAIRAN, BARAT PASIFIK WARM POOL Harold J. D. Waas; Vincentius P. Siregar; Indra Jaya; Jonson Lumban Gaol
Jurnal Kelautan Nasional Vol 9, No 3 (2014): DESEMBER
Publisher : Pusat Riset Kelautan

Gelombang ekuatorial Rossby selama ENSO berperan penting di perairan oligotropik Barat Pasifik Warm Pool (BPWP) melalui efek rototiller gelombang Rossby. Dampak utamanya adalah blooming fitoplankton pada puncak gelombang dan pengangkatan kedalaman klorofil-a maksimum mendekati (di atas) dasar lapisan pencampuran. Kontribusi gelombang Rossby dalam meningkatkan produktivitas primer permukaan perairan berdasarkan hasil perhitungan data klimatologi dan data set bulanan ocean color berkisar antara 4 – 38% karena konsentrasi fitoplankton yang tinggi berada di bawah kedalaman lapisan pencampuran dan zona kedalaman optikal SeaWIFS. Walaupun kontribusi gelombang Rossby rendah tetapi secara signifikan berkontribusi terhadap tingginya hasil tangkapan tuna selama akhir episode ENSO (Januari – Maret). Aspek lain gangguan gelombang adalah peningkatan kelimpahan group fitoplankton Cyanobacteria dan Coccolitophores (komponen dari microbial loop) dasar dari rantai makan tuna dan mendominasi sebagian besar produksi primer pada puncak gelombang dan kedalaman klorofil-a maksimum.

ESTIMASI INTENSITAS UPWELLING PANTAI DARI SATELIT AQUAMODIS DI PERAIRAN SELATAN JAWA DAN BARAT SUMATERA Dortje Theodora Silubun; Jonson Lumban Gaol; Yuli Naulita
Jurnal Teknologi Perikanan dan Kelautan Vol 6 No 1 (2015): MEI 2015
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Monsoonal upwelling generally occurred along the coasts of South Java to Western Sumatera. The aimed of this study was to estimate the upwelling intensity derived from sea surface temperature (SST) and chlorophyll-a. SST and chlorophyll-a data was obtained from 3rd level of Aqua-MODIS satellite censor, and wind data derived from Quikscat satellite censor on July 2002 to June 2011. Upwelling index derived from coastal upwelling index (CUIx) formula. Statistical analysis was used to describe the relationship of SST and chlorophyll-a to CUIx. The result of this study show that the occurrence of upwelling was in east monsoon temporally, the range of SST is about 25.10 â€“ 27.30 Â°C and chlorophyll-a is about 0.30 â€“ 0.67 mg m-3. However in 2006 the anomaly of upwelling intensity coincide perfectly with the descend of SST to 24.98 Â°C (Sout Java) and 25.97 Â°C (West Sumatera), meanwhile the concentration of chlorophyll-a is increase to 1.3 mg m-3 (West Sumatra) and 3.71 mg m-3 (South Java). Statistical analysis show that the SST give a strong relationship between CUIx and SST (r=0.84) in West Sumatera. Meanwhile in South Java, both of those parameters (SST and Chlorophyll-a) gives the strong relationship to CUIx respectively (r= 0.86 and r = 0.81).

FISHING BOAT DISTRIBUTION ESTABLISHED BY COMPARING VMS AND VIIRS DATA AROUND THE ARU ISLANDS IN MALUKU INDONESIA van Beek, Ruben; Lumban Gaol, Jonson; Agus, Syamsul Bahri
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 1 (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.a3605

Marine protected areas (MPAs) and no take zones (NTZs) are essential for the preservation of marine ecosystems. However, these important areas can be severely harmed by illegal fishing. All vessels above 30 gross tons are required to use vessel monitoring systems (VMSs) that enable vessel tracking by sending geographic data to satellites in each specific time period. The Visible Infrared Radiometer Suite (VIIRS) is a sensor on the National Oceanic and Atmospheric Administration (NOAA)-20 satellite that can detect the light-emitting diode (LED) light used by fishing vessels from space during the night time. In this research, VMS and VIIRS fishery data were combined in order to identify fishing vessels that were detected by the VIIRS sensor of the NOAA-20 satellite. The research was focused on an area near the Aru Islands in the Arafura Sea in Indonesia. Data on LED light used by the fishing techniques of purse seine and bouke ami were obtained for the whole of 2018. The data were then processed using R software. An R package called LLFI (LED Light Fisheries Identifier) was created, containing several R-functions that calculate VMS vessel position during satellite overpass time and then combine the VMS and VIIRS data attributes, resulting in a dataset comprising vessels identified from the VIIRS dataset. Out of all the estimated VMS fishing vessel positions during the VIIRS satellite overpass, approximately 51% could be assigned to fishing vessels detected from the VIIRS dataset. For bouke ami, the identification rate was approximately 87%, while that for small purse seine was around 39%. Ultimately, the LLFI package created daily paths for each identified fishing vessel, displaying all its movements during the day of itsâ€™identification. These daily paths did not show any activity within MPA or NTZ. The LLFI package was successful in combining VMS and VIIRS data, estimating VMS vessel positions during the VIIRS satellite overpass, identifying a percentage ofÂ the vessels, and creating a daily path for each identified vessel.Â

FISHING-VESSEL DETECTION USING SYNTHETIC APERTURE RADAR (SAR) SENTINEL-1 (CASE STUDY: JAVA SEA) Fitriani, Sarah Putri; Gaol, Jonson Lumban; Kushardono, Dony
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 16, No 2 (2019)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

The synthetic aperture radar (SAR) instrument of Sentinel-1 is a remote sensing technology being developed to enable the detection of vessel distribution. The purpose of this research is to study fishing-vessel detection using SAR Sentinel-1 data. In this study, the constant false alarm rate method (CFAR) for Sentinel-1 data is used for the detection of fishing vessels in Indramayu sea waters. The data used to detect ships includes SAR Sentinel-1A images and vessel monitoring system (VMS) data acquired on 8 March and 20 March 2018. SAR Sentinel-1 imagery data is obtained through pre-processing and object identification using Sentinel Application Platform (SNAP) software. Overlay analysis is then used to enable discrimination of immovable and movable objects and validation of ships detected from SAR Sentinel-1 imagery is performed using VMS data. From overlay analysis, 46 ships were detected on 8 March 2018 and 39 ships on 20 March 2018. Of all the ship points detected using SAR Sentinel-1, 7.06% could be detected by VMS data while 92.94% could not. The number of ships detected by SAR Sentinel-1 is greater than those detected by VMS because not all ships use VMS devices.Â

Estimation of Attenuation Coefficient Values Using Remote Sensing and Its Relationship With Shallow Water Depth Anggi Tiarasani; Vincentius Paulus Siregar; Jonson Lumban Gaol
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.v7i2.5630

In ocean remote sensing, the intensity of light entering the water column decreases exponentially with increasing depth due to scattering and particle absorption in the water column. This process of decreasing light intensity is called attenuation. Attenuation is a limiting factor in detecting objects in the water column and seafloor using remote sensing, which relies on light intensity. The attenuation coefficient (Kd) is an important optical property of seawater as it provides information about water clarity and the level of light attenuation. This study aims to analyze the estimation of the attenuation coefficient values and their variability using in-situ measurements and Sentinel-2 level 2A data in Karang Lebar, Pulau Panggang, and Pulau Air, in the Seribu Islands Regency, North Jakarta. We tested several algorithms to estimate the attenuation coefficient values. The research results show that the in-situ Kd and the estimated model values have a good correlation (r = 0.75-0.86). The distribution of attenuation coefficient values in the shallow waters of the study area ranges from 0.06 to 0.18m-1. The accuracy of estimating shallow water depth at the study sites was best represented by R2 and RMSE values in the range of 0-5m with an attenuation coefficient of 0.06-0.11m-1. Keywords: Diffuse Attenuation Coefficient, Remote Sensing, Sentinel-2 Imagery, Algorithm.

Classification and Distribution Of Mangrove Genus Using Multispectral Unmanned Aerial Vehicle (UAV) In The Waters Of Lancang Island, Kepulauan Seribu, Indonesia Armanda; Syamsul Bahri Agus; Jonson Lumban Gaol
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.17195

Mapping of mangrove distribution is important as basic information in mangrove resource management. development of remote sensing technology with multispectral unmanned aerial vehicle (UAV) with high spatial resolution. This study aims to determine the classification and distribution of mangrove genera using a pixel-based classification method and calculate the accuracy level of mangrove genus classification using a multispectral unmanned aerial vehicle (UAV) in Lancang Island Waters, Kepulauan Seribu. This research was carried out in August 2023 by obtaining 481 mangrove genus observation points using the DJI Phantom 4 multispectral drone. Image classification was processed using a pixel-based classification method with two classification levels, including level 1 (mangrove), resulting in an area of 18.72 ha. Level 2 (mangrove genus) uses guided classifications such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF). Based on the classification results, the best results were obtained using the RF algorithm with an accuracy of 89.78% and a kappa index of 0.51, followed by the SVM algorithm with an accuracy of 89.78% and a kappa index of 0.45, then using the KNN algorithm with an accuracy of 88.32% and a kappa index of 0.43.

ESTIMASI RADIUS DEFORMASI UPWELLING DARI DATA SATELIT DAN ARGO FLOAT Noor, Hariansyah; Gaol, Jonson Lumban; Nurjaya, I Wayan
Jurnal Teknologi Perikanan dan Kelautan Vol 15 No 1 (2024): FEBRUARI 2024
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.15.69-77

Upwelling adalah proses naiknya massa air laut dari lapisan bawah ke permukaan akibat perbedaan tekanan permukaan. Terjadi proses upwelling akan meningkatkan kesuburan perairan karena massa air di lapisan dalam naik ke permukaan yang kaya nutrisi yang dibutuhkan fitoplankton untuk berkembang. Luas sebaran daerah upwelling (radius deformasi) akan menentukan dampak proses upwelling di perairan. Penelitian ini bertujuan untuk menganalisis proses upwelling dan radius deformasi dari data satelit sensor termal. Data yang digunakan adalah data satelit termal harian dan rata-rata bulanan selama tahun 2014-2018. Data dari buoy Argo digunakan untuk memvalidasi data satelit dan menghitung radius deformasi upwelling. Analisis statistik seperti korelasi, Root Mean Square Error (RMSE), bias, dan standar deviasi digunakan untuk menguji keakuratan perkiraan data Suhu Permukaan Laut (SPL) dari satelit. Data perhitungan radius deformasi dari Argo menunjukkan bahwa pada musim timur terjadi upwelling, SPL berkisaran antara 24-26ºC, normalnya berkisaran antara 27-29ºC. Korelasi antara SPL dari data satelit dan data SPL dari Argo adalah 0,92, nilai RMSE 0,0236, bias 0,017, dan standar deviasi 0,287. Koefisien korelasi antara radius deformasi dari data in situ dan data satelit yang dihitung tinggi (r=0,9) menunjukkan bahwa citra satelit dapat digunakan untuk menentukan radius deformasi.

Co-Authors . Hendrawan Achmad Fachruddin-Syah Achmad Fachrudin Syah Agnestesya Manuputty Agustin Rustam Al Hakim, Muhammad Abdul Ghofur Alam, Al Fajar Amelius Andi Mansawan Anggi Tiarasani Ar-ridhaty Akita, Erliantina Armanda Bambang Sadhotomo Bisman Nababan Charles Parningotan Haratua Simanjuntak Cheung, William W.L. Dendy Mahabror Dessy Berlianty Diki Zulkarnaen Djisman Manurung Domu Simbolon Dony Kushardono Dony Kushardono Dortje Theodora Silubun Ega Putra Fadli Syamsudin Fahriansyah Fahriansyah Farahdillah, Reyhanniza Ekka Fery Kurniawan Fitriani, Sarah Putri Harold J.D. Waas Harold J.D.Waas Hawis H Madduppa Herlambang Aulia Rachman Heron Surbakti I Wayan Nurjaya Indra Jaya Indra Jaya Indra Jaya Iqoh Faiqoh Irawati, Febri Dwi James Parlindungan Panjaitan Jordan Tito Lubis Khairul Amri Marisa Mei Ling Marlis Yulianto Maya Eria Br Sinurat Michelia Mashita Muh. Adhim Adrian Muhammad Sudibjo Mujizat Kawaru Muklis Muklis Mukti Zainuddin Nabilla Dhani Amanda Nadela Rista Apriliya Nazal, Muhammad Faris NEVIATY PUTRI ZAMANI Noor, Hariansyah Noya, Theo Imanuel Nurmawati Nurmawati Nurzeha, Ridwan Nyoman M N Natih Rayhan Nuris Reygondeau, Gabriel Risti Endriani Arhatin Riza Aitiando Pasaribu Rizki Dimas Permana Rizty Maulida Badri Rohman, Tefur Nur Sarah Putri Fitriani Septiyan Firmansyah Setyo Budi Susilo Suhita, Ni Putu Asri Ratna Syamsul Bahri Agus, Syamsul Bahri Teguh Prayogo Teh, Lydia van Beek, Ruben Vincentius P Siregar Widya Octavia Wildan Tino Yuli Naulita Yustie Amanda Zainal Arifin Zainal Arifin

Title

Found 47 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 47 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 47 Documents
Search