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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 Penelitian Perikanan Indonesia Jurnal Kelautan Nasional Jurnal Segara International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Ilmiah Wahana Pendidikan 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 Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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ANALISIS RETRACKING WAVEFORM DATA SATELIT ALTIMETER PADA TELUK, PERAIRAN PULAU-PULAU KECIL, DAN LAUT DALAM DI LAUT HALMAHERA Maya Eria Br Sinurat; Bisman Nababan; Jonson Lumban Gaol
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 11 No. 3 (2019): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Akurasi estimasi tinggi muka laut (SSH) dari satelit altimeter sangat dipengaruhi oleh kondisi perairan dan daratan disekitar perairan tersebut. Estimasi SSH di laut lepas umumnya sudah akurat. Namun, pada daerah pantai, estimasi SSH kurang akurat karena gangguan pantulan sinyal dari daratan. Penelitian ini bertujuan untuk melakukan analisis retracking waveform satelit altimeter pada perairan yang kompleks di Laut Halmahera. Data yang digunakan pada penelitian ini yaitu data waveform dari Sensor Geophysical Data Record type D (SGDR-D) Jason-2 dan Jason-3 tahun 2017. Algoritma retracking yang digunakan yaitu Offset Centre of Gravity (OCOG), Iced, Threshold, dan Improved Threshold. Hasil retracking waveform menunjukkan semua retracker memberikan perbaikan data SSH yang signifikan kecuali OCOG. Retracker yang paling cocok diaplikasikan di Laut Halmahera pada teluk dangkal dan sempit yaitu Threshold 10%, pada teluk dalam dan lebar yaitu Threshold 50%, serta pada perairan dekat pulau pulau kecil yaitu Threshold 10% dan Threshold 20%. Secara umum, Non-Brown waveform lebih banyak ditemukan di perairan teluk dangkal dan sempit (rata-rata=63,49%) dibandingkan dengan teluk dalam dan lebar (rata-rata=11,51%) dan perairan pulau-pulau kecil (rata-rata=9,57%). Namun demikian, tingkat perbaikan data SSH di perairan teluk dangkal dan sempit lebih tinggi dibandingkan dengan teluk dalam dan lebar serta perairan pulau-pulau kecil dan laut dalam. Persentase peningkatan perbaikan data (IMP) tertinggi yaitu 96,71% dengan algoritma Improved Threshold 10% pada Jason-2 pass 164.

Detection of Potential Fishing Zones of Bigeye Tuna (Thunnus Obesus) at Profundity of 155 m in the Eastern Indian Ocean Achmad Fachruddin-Syah; Jonson Lumban Gaol; Mukti Zainuddin; Nadela Rista Apriliya; Dessy Berlianty; Dendy Mahabror
Indonesian Journal of Geography Vol 52, No 1 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Remotely sensed data and habitat model approach were employed to evaluate the present of oceanographic aspect in the Bigeye tuna's potential fishing zone (PFZ) at a profundity of 155 m. Vessel monitoring system was employed to acquire the angling vessels for Bigeye tuna from January through December, 2015-2016. Daily data of sub-surface temperature (Sub_ST), sub-surface chlorophyll-a (Sub_SC), and sub-surface salinity (Sub_SS) were downloaded from INDESO Project website. Vessel monitoring system and environmental data were employed for maximum entropy (maxent) model development. The model predictive achievement was then estimated applying the area under the curve (AUC) value. Maxent model results (AUC>0.745) exhibited its probable to understand the Bigeye tuna's spatial dispersion on the specific sub-surface. In addition, the results also showed Sub_ST (43,1%) was the most affective aspect in the Bigeye tuna dispersion, pursued by Sub_SC (35,2%) and Sub_SS (21,6%).

Variasi Data Suhu Permukaan Laut, Tinggi Paras Laut, Klorofil-a, dan Upwelling di Perairan Selatan Jawa serta Korelasinya Dengan Data Lapangan Herlambang Aulia Rachman; Jonson Lumban Gaol; Fadli Syamsudin
Journal of Marine and Aquatic Sciences Vol 5 No 2 (2019)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

South Java Sea are regions that have quite complex dynamics because they are influenced by several factors, both regionally and globally. The influence certainly affects the variations in oceanographic features such as Sea Surface Temperature (SST), Sea Surface Height (SSH), and Chlorophyll-a concentration. Observation of oceanographic feature at this time has many methods, one of them by remote sensing. The purpose of this study is to calculate the variation of oceanographic conditions based on satellite data and its correlation with field data. The results show that the SPL and ATPL data with the field data have a fairly good relationship, where the value of R2 reaches 0.74 and 0.9. In general, the variation of oceanographic data has the same pattern that is changing seasonally. SST and SSH data are at their maximum in the January-March period, while the minimum is July-September. While the concentration of chlorophyll-a is at the maximum condition in July-September and minimum in January-March. This is thought to be an upwelling phenomenon that occurred in July-September due to the monsoon wind movement. Upwelling index calculation results based on wind data show that in the period June to September is the peak of the upwelling phenomenon.

Seagrass Mapping Based on Satellite Image Worldview-2 by Using Depth Invariant Index Method Agnestesya Manuputty; Jonson Lumban Gaol; Syamsul Bahri Agus
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 21, No 1 (2016): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Seagrass has an important role in coastal areas, so it’s sustainability need to be maintained. One effort to preserve it is sustainable manner management of segrass based on the spatial data using remote sensing techniques. The aim of this study was to map seagrass ecosystems and to determining the accuracy level from classification results that obtained by the WorldView-2 images. This study was conducted in Karang Bongkok and Kotok Islands in August 2014 and March 2015. The satellite images data used on this study was WorldView-2 satellite images at the acquisition date of October 5, 2013. The method used to conduct image processing data is Depth Invariant Index (DII) using Support Vector Machine (SVM) classification. The result shows that seagrass mapping in Karang Bongkok and Kotok Islands using DII transformation has 19.5112 ha areas with 72% accuracy on Karang Bongkok Island and 2.5704 ha areas with of 83% accuracy on Kotok Island. Key words: Seagrass mapping, DII, SVM, Karang Bongkok, Kotok Island.

Perbandingan Klasifikasi SVM dan Decision Tree untuk Pemetaan Mangrove Berbasis Objek Menggunakan Citra Satelit Sentinel-2B di Gili Sulat, Lombok Timur Septiyan Firmansyah; Jonson Lumban Gaol; Setyo Budi Susilo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.3.746-757

Mangrove is one of the most important objects in wetland ecosystems. Mangrove research has been done, one of them is using remote sensing technology. This study aims to assess accuracy of object based image analysis (OBIA) approach on both Support Vector Machine (SVM) and Decision Tree classification methods to classify mangrove and estimate mangrove area in the field study. We selected Kawasan Konservasi Laut Daerah (KKLD) Gili Sulat as a research site. This research used Sentinel-2B satellite imagery. We took field data using stratified random sampling and the amount of the data we collected were 121 points. The classification analysis result with object based showed that SVM had an overall accuracy of 95 % (kappa = 0.86) and Decision Tree classification had an overall accuracy of 93 % (kappa = 0.82). It is caused SVM can reduce the error of classification than Decision Tree. Estimation result based on assessment showed that mangrove using SVM had 634.62 Ha while using Decision Tree had 590.47 Ha

VARIATION AND TREND OF SEA LEVEL DERIVED FROM ALTIMETRY SATELLITE AND TIDE GAUGE IN CILACAP AND BENOA COASTAL AREAS Amelius Andi Mansawan; Jonson Lumban Gaol; James P. Panjaitan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 13, No 1 (2016)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Observation of sea levels continuously is very important in order to adapt the disasters in the coastal areas. Conventionally observations of sea level using tide gauge, but the number of tide gauge installed along the coast of Indonesia is still limited. Altimetry satellite data is one solution; therefore it is necessary to assess the potential and accuracy of altimetry satellite data to complement the sea level data from tide gauges. The study was conducted in the coastal waters of Cilacap and Bali by analysis data Envisat satellite altimetry for period 2003 to 2010 and data compiled from a variety of satellite altimetry from 2006 to 2014. Data tidal was used as a comparison of altimetry satellite data. The altimetry satellite data in Cilacap and Benoa waters more than 90% could be used to assess the variation and the sea level rise during the period 2003-2010. The rate of sea level rise both the data of tidal and satellite altimetry data indicates the same rate was 3.5 mm/year in Cilacap. in Benoa are 4.7 mm/year and 5.60 mm/year respectively.

CHLOROPHYLL-A CONCENTRATIONS ESTIMATION FROM AQUA-MODIS AND VIIRS-NPP SATELLITE SENSORS IN SOUTH JAVA SEA WATERS Rayhan Nuris; Jonson Lumban Gaol; Teguh Prayogo
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 1 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

This study aimed to estimate the concentration of chlorophyll-a from satellite imagery of National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) in the south Java Sea waters and compare it to the concentrations of chlorophyll-a estimation result from the MODIS-Aqua satellite. NPP satellite had Visible/Infrared Imager Radiometer Suite (VIIRS) sensors which performance was same as Moderate Resolution Imaging Spectroradiometer (MODIS) sensor with a better spatial resolution. This study used daily satellite imagery of VIIRS-NPP for the period of September 2012 to August 2013. The algorithm that was used to estimate the concentration of chlorophyll-a was Ocean Color 3-band ratio (OC-3). The results showed that the spatial distribution pattern of chlorophyll-a concentration between VIIRS - NPP sensor and MODIS had the same pattern, but the estimation of chlorophyll-a concentration from the MODIS sensor was higher than VIIRS -NPP sensor. The concentration of chlorophyll-a showed that there were spatial and temporal variation in the south Java Sea waters. Generally, concentrations of chlorophyll-a was higher in East monsoon than West monsoon.

GROWTH RATE AND PRODUCTIVITY DYNAMICS OF ENHALUS ACOROIDES LEAVES AT THE SEAGRASS ECOSYSTEM IN PARI ISLANDS BASED ON IN SITU AND ALOS SATELLITE DATA Agustin Rustam; Dietriech Geoffrey Bengen; Zainal Arifin; Jonson Lumban Gaol; Risti Endriani Arhatin
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 10, No 1 (2013)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Enhalus acoroides is the largest population of seagrasses in Indonesia. However, growth rate and productivity analyses of Enhalus acoroides and the use of satellite data to estimate its the productivity are still rare. The goal of the research was to analyze the growth rate, productivity rate,seasonal productivity of Enhalus acoroides in Pari island and its surroundings. The study was divided into two phases i.e., in situ measurments and satellite image processing. The field study was conducted to obtain the coverage percentage, density, growth rate, and productivity rate, while the satellite image processing was used to estimate the extent of seagrass. The study was conducted in August 2011 toJuly 2012 to accommodate all four seasons. Results showed that the highest growth rate andproductivity occurred during the transitional season from west Monsoon to the east Monsoon of 5.6cm/day and 15.75 mgC/day, respectively. While, the lowest growth rate and productivity occurred during the transition from east Monsoon to the west Monsoon of 3.93 cm/day and 11.4 mgC/day, respectively. Enhalus acoroides productivity reached its maximum during the west Monsoon at 1081.71 mgC/day/m2 and minimum during east Monsoon with 774.85 mgC/day/m2 . Based on ALOS data in 2008 and 2009, total production of Enhalus acoroides in the proximity of Pari islands reached its maximum occur during the west Monsoon (48.73 – 49.59 Ton C) and minimum during transitional season (16.4-16.69 Ton C). Potential atmospheric CO2 absorption by Enhalus acoroides in Pari island was estimated at the number 60.14 – 181.82 Ton C.

COASTAL UPWELLING UNDER THE INFLUENCE OF WESTERLY WIND BURST IN THE NORTH OF PAPUA CONTINENT, WESTERN PACIFIC Harold J.D. Waas; Vincentius P Siregar; Indra Jaya; Jonson Lumban Gaol
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 9, No 2 (2012)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Coastal upwelling play an important role in biological productivity and the carbon cycle in the ocean. This research aimed to examine the phenomenon of coastal upwelling that occur in the coastal waters north of Papua continent under the influence of Westerly Wind Burst(WWB) prior to the development of El Nino in the Pacific. Data consisted of sea surface temperature, vertical oceanic temperature, ocean color satellite image, wind stress and vector wind speed image, sea surface high, and Nino 3.4 index. Coastal upwelling events in the northern coastal waters of Papua continent occurred in response to westerly winds and westerly wind burst (WWBs) during December to March characterizing by low sea surface temperature (SST) (25 - 28C), negative sea surface high deviation and phytoplankton blooming, except during pre-development of the El Nino 2006/2007 where weak upwelling followed by positive sea surface high deviation. Strong coastal upwelling occurred during two WWBs in December and March1996/1997 with maximum wind speed in March produced a strong El Nino 1997/1998. Upwelling generally occurred along coastal waters of Jayapura to Papua New Guinea with more intensive in coastal waters north of Papua New Guinea indicated by Ekman transport and Ekman layer depth maximum.

VARIABILITY OF SEA SURFACE TEMPERATURE (SST) AND CHLOROPHYLL-A (CHL-A) CONCENTRATIONS IN THE EASTERN INDIAN OCEAN DURING THE PERIOD 2002–2017 Michelia Mashita; Jonson Lumban-Gaol
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 16, No 1 (2019)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

We analysed the variability of sea surface temperature (SST) and chlorophyll-a concentration (Chl-a) in the eastern Indian Ocean (EIO). We used monthly mean Chl-a and SST data with a 4-km spatial resolution derived from Level-3 Aqua Moderate-resolution Imaging Spectroradiometer (MODIS) distributed by the Asia-Pacific Data-Research Center (APDRC) for the period 2002–2017. Wavelet analysis shows the annual and interannual variability of SST and Chl-a concentration in the EIO. The annual variability of SST and Chl-a is influenced by monsoon systems. During a southeast monsoon, SST falls while Chl-a increases due to upwelling. The annual variability of SST and Chl-a is also influenced by the Indian Ocean Dipole (IOD). During positive phases of the IOD (2006, 2012 and 2015), there was more intense upwelling in the EIO caused by the negative anomaly of SST and the positive anomaly of Chl-a concentration.

Co-Authors . Hendrawan Achmad Fachruddin-Syah Achmad Fachrudin Syah Agnestesya Manuputty Agustin Rustam Al Hakim, Muhammad Abdul Ghofur 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 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 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

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