Article Per Year (5 Year)
p-Index From 2021 - 2026
3.768
P-Index
This Author published in this journals
All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis SOCA: Jurnal Sosial Ekonomi Pertanian Journal of Marine and Aquatic Sciences Pastura; Journal Of Tropical Forage Science Bumi Lestari Ecotrophic, Journal of Environmental Science Jurnal Kelautan : Indonesian Journal of Marine Science and Technology JURNAL PIJAR REKAYASA Jurnal Kelautan Tropis Jurnal Geografi Journal of Marine Research and Technology Astonjadro Forest and Society Jurnal Kelautan Nasional International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Sains Riset INTERNATIONAL JOURNAL OF ENVIRONMENT AND GEOSCIENCES Jurnal Ilmiah Sains Jurnal Manusia dan Lingkungan The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Abd. Rahman As-syakur
Program Studi Ilmu Kelautan, Fakultas Kelautan Dan Perikanan, Universitas Udayana, Bukit Jimbaran, Bali 80361, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Physics Social Sciences Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 59 Documents
Search

 2   3   4   5   6 
Comparison of Zinc ( Zn ) and Cadmium ( Cd ) Levels in Rhizophora Mangrove Species mucronata in Muara Tukad Badung, Bali Ferdinan, David Firman; Darmadi, Anak Agung Ketut; As-syakur, Abd. Rahman; Wijana, Made Sara
Bumi Lestari Journal of Environment Vol 24 No 2 (2024)
Publisher : Environmental Research Center (PPLH) of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843//blje.2024.v24.i02.p04

Abstract

Mangrove forests are an ecosystem that has an important role and function for the environment. Mangrove forests have ecosystems that are very beneficial to humans directly or indirectly. Apart from that, the mangrove ecosystem also has other important functions, namely as a catcher of sediment and as a prevention of erosion and as a soil stabilizer in estuary areas. Data collection was carried out in March using several methods, namely BCF, TF, and Igeo. Sampling was carried out using the Rhizopora type of mangrove mucronata at 3 different stations. The heavy metals tested in this study were zinc ( Zn ) and cadmium ( Cd ). In the highest sediment values for Zn and Cd were 15.516 and 0.532 respectively. In water, the highest levels for Zn and Cd are 0.020 and 0.006 respectively. The highest BCF root values for Zn and Cd are 0.00896 and 0.0609 respectively. The highest leaf BCF values for Zn and Cd are 0.02417 and 0.04487 respectively. The highest TF values for Zn and Cd are 2.68784 and 0.92857 respectively. The Igeo value for Zn is in the unpolluted category and CD is in the slightly polluted category
Estimation and Mapping Above-Ground Mangrove Carbon Stock Using Sentinel-2 Data Derived Vegetation Indices in Benoa Bay of Bali Province, Indonesia Suardana, A. A. Md. Ananda Putra; Anggraini, Nanin; Nandika, Muhammad Rizki; Aziz, Kholifatul; As-syakur, Abd. Rahman; Ulfa, Azura; Wijaya, Agung Dwi; Prasetio, Wiji; Winarso, Gathot; Dewanti, Ratih
Forest and Society Vol. 7 No. 1 (2023): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v7i1.22062

Abstract

Carbon dioxide (CO2) is one of the greenhouse gases that causes global warming with the highest concentration in the atmosphere. Mangrove forests can absorb CO2 three times higher than terrestrial forests and tropical rainforests. Moreover, mangrove forests can be a source of Indonesian income in the form of a blue economy, therefore an accurate method is needed to investigates mangrove carbon stock. Utilization of remote sensing data with the results of the above-ground carbon (AGC) detection model of mangrove forests based on multispectral imaging and vegetation index, can be a solution to get fast, cheap, and accurate information related to AGC estimation. This study aimed to investigates the best model for estimating the AGC of mangroves using Sentinel-2 imagery in Benoa Bay, Bali Province. The random forest (RF) method was used to classified the difference between mangrove and non-mangrove with the treatment of several parameters. Furthermore, a semi-empirical approach was used to assessed and map the AGC of mangroves. Allometric equations were used to calculated and produced AGC per species. Moreover, the model was built with linear regression equations for one variable x, and multiple regression equations for more than one x variable. Root Mean Square Error (RMSE) was used to assess the validation of the model results. The results of the mangrove forests area detected in the research location around 1134.92 ha, with an Overall Accuracy (OA) of 0.984 and a kappa coefficient of 0.961. This study highlights that the best model was the combination of IRECI and TRVI vegetation indices (RMSE: 11.09 Mg/ha) for a model based on red edge bands. Meanwhile, the best results from the model that does not use the red edge band were the combination of TRVI and DVI vegetation indices (RMSE: 13.63 Mg/ha). The use of red edge and NIR bands is highly recommended in building the AGC model of mangrove forests because they can increase the accuracy value. Thus, the results of this study are highly recommended in estimating the AGC of mangrove forests, because it has been proven to be able to increase the accuracy value of previous studies using optical images.
Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data I Putu Dedy Pratama; Takahiro Osawa; Abd Rahman As-Syakur
JURNAL GEOGRAFI Vol 15, No 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.40772

Abstract

The local active fault in Bali has a small magnitude (M<5) but has destructive potential because it is very close to residential areas. Mapping the fault area on Bali is needed to identify the parameters of faults. This study used gravity data from GGMplus, topographic data from DEMNAS, and lineaments using ALOS-2 PALSAR-2 data. Validation and interpretation using the geological map of Bali and seismicity data. We interpret the subsurface using the gravity derivative method to identify the type of fault movement. Identify fault locations using lineament extraction from SAR data processed by directional filters. The composite image red-green-blue (RGB) for HH, HV, and VV polarization was used for automatic lineament extraction and then corrected manually. The results of the gravity method succeeded in identifying 29 of the 30 faults from the geological map of the Bali sheet and a new spot from PALSAR-2. Bali land has 12 thrust faults, 11 strike-slip faults and six normal faults. The image of PALSAR-2 (L band) has succeeded in making a fault lineament map for the Bali region. The lineament extraction results from PALSAR-2 obtained four new faults (Pesanggaran, Sepang, Tegal Badeng, and Banyuwedang), while four faults were not identified (Tampaksiring Fault, Plaga, Mambal, and Munduk-Rajasa). NE-SW dominates the strike directions, and the dip angles are 45-80 degrees. We propose 30 faults in Bali, including 26 defects from geological maps with changes in length and location shift and four new marks extracted from automatic lineament.Keywords: Remote Sensing, Earthquake, Derivative Gravity, Lineament, SAR 
THE FUNCTION OF NDWI AND NDTI IN DIFFERENTIATING THE CHARACTERISTICS OF WATER AREAS BASED ON SENTINEL 2 IMAGERY Astiti, Sagung Putri Chandra; Dharma, I Gusti Bagus Sila; Pariartha, I Putu Gustave Suryantara; As-Syakur, Abd. Rahman
Jurnal Sains Riset Vol 14, No 2 (2024): September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsr.v13i2.2640

Abstract

Penggunaan teknologi penginderaan jauh dengan data citra satelit sebagai media utama telah banyak digunakan dalam menganalisis data yang diperoleh menggunakan alat tanpa kontak langsung dengan objek, fenomena, atau area yang sedang dipelajari. Salah satu data citra satelit yang dapat diakses secara gratis dan resmi adalah data citra Sentinel-2 MSI (Multi-Spectral Instrument), yang merupakan data yang dikembangkan oleh Badan Antariksa Eropa (ESA). Data citra Sentinel-2A yang digunakan dalam penelitian ini terbagi menjadi 2 level data, yaitu Level 1C dan Level 2A. Perekaman data pada citra Sentinel-2A yang digunakan dalam penelitian ini menggunakan berbagai data musiman yang berbeda, termasuk musim peralihan dari musim kemarau ke musim hujan pada Oktober 2018, musim hujan pada November 2020, dan musim kemarau pada April 2022. NDWI digunakan untuk menganalisis area perairan dan non-perairan, sedangkan NDTI digunakan untuk menganalisis kekeruhan air. Hasil analisis menunjukkan bahwa nilai NDWI pada tahun 2018 dan 2020 berkisar dari nilai terendah -0,82 hingga nilai tertinggi 0,79. Hasil analisis pada tahun 2022 menunjukkan bahwa nilai NDWI berada dalam rentang nilai terendah -0,87 dan nilai tertinggi 0,99. Hasil analisis nilai NDTI pada tahun 2018 berkisar dari rentang nilai terendah -0,51 hingga nilai tertinggi 0,45. Hasil analisis nilai NDTI pada tahun 2020 berkisar dari nilai terendah -0,62 hingga nilai tertinggi 0,43. Hasil analisis NDTI pada tahun 2022 berkisar dari nilai terendah -0,72 hingga nilai tertinggi 0,43
Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data Pratama, I Putu Dedy; Osawa, Takahiro; As-Syakur, Abd Rahman
JURNAL GEOGRAFI Vol. 15 No. 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.40772

Abstract

The local active fault in Bali has a small magnitude (M<5) but has destructive potential because it is very close to residential areas. Mapping the fault area on Bali is needed to identify the parameters of faults. This study used gravity data from GGMplus, topographic data from DEMNAS, and lineaments using ALOS-2 PALSAR-2 data. Validation and interpretation using the geological map of Bali and seismicity data. We interpret the subsurface using the gravity derivative method to identify the type of fault movement. Identify fault locations using lineament extraction from SAR data processed by directional filters. The composite image red-green-blue (RGB) for HH, HV, and VV polarization was used for automatic lineament extraction and then corrected manually. The results of the gravity method succeeded in identifying 29 of the 30 faults from the geological map of the Bali sheet and a new spot from PALSAR-2. Bali land has 12 thrust faults, 11 strike-slip faults and six normal faults. The image of PALSAR-2 (L band) has succeeded in making a fault lineament map for the Bali region. The lineament extraction results from PALSAR-2 obtained four new faults (Pesanggaran, Sepang, Tegal Badeng, and Banyuwedang), while four faults were not identified (Tampaksiring Fault, Plaga, Mambal, and Munduk-Rajasa). NE-SW dominates the strike directions, and the dip angles are 45-80 degrees. We propose 30 faults in Bali, including 26 defects from geological maps with changes in length and location shift and four new marks extracted from automatic lineament.Keywords: Remote Sensing, Earthquake, Derivative Gravity, Lineament, SAR 
BIOMASS ESTIMATION MODEL AND CARBON DIOXIDE SEQUESTRATION FOR MANGROVE FOREST USING SENTINEL-2 IN BENOA BAY, BALI A. A. Md. Ananda Putra Suardana; Nanin Anggraini; Kholifatul Aziz; Muhammad Rizki Nandika; Azura Ulfa; Agung Dwi Wijaya; Abd. Rahman As-syakur; Gathot Winarso; Wiji Prasetio; Ratih Dewanti
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 1 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3797

Abstract

Remote sensing technology can be used to find out the potential of mangrove forests information. One of the potentials is to be able to absorb three times more CO2 than other forests. CO2 absorbed during the photosynthesis process, produces organic compounds that are stored in the mangrove forest biomass. Utilization of remote sensing technology is able to detect mangrove forest biomass using the density level of the vegetation index. This study focuses on determining the best AGB model based on the vegetation index and the ability of mangrove forests to absorb CO2. This research was conducted in Benoa Bay, Bali Province, Indonesia. The satellite image used is Sentinel-2. Classification of mangroves and non-mangroves using a multivariate random forest algorithm. Furthermore, the mangrove forest biomass model using a semi-empirical approach, while the estimation of CO2 sequestration using allometric equations. Mean Absolute Error (MAE) is used to evaluate the validation of the model results. The classification results showed that the detected area of Benoa Bay mangrove forest reached 1134 ha (OA: 0.98, kappa: 0.95). The best AGB estimation result is the DVI-based AGB model (MAE: 23,525) with a value range of 0 to 468.38 Mg/ha. DVI-based AGB derivatives are BGB with a value range of 0 to 79.425 Mg/ha, TAB with a value range of 0 to 547.8 Mg/ha, TCS with a value range of 0 to 257.47 Mg/ha, and ACS with a value range of 0 to 944.912 Mg/ha.
CO2 FLUX IN INDONESIAN WATER DETERMINED BY SATELLITE DATA Ni Wayan Ekayanti; Abd. Rahman as-syakur
International Journal of Remote Sensing and Earth Sciences Vol. 8 (2011)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2011.v8.a1736

Abstract

The oceans was considered to be a major sink for CO2. The improving of quantitative and qualitative description about the ability of sea in uptaking or emitting CO2 is a great scientific concern in meteorological and climatological science. Measurement of the ability of sea in uptake or emitting CO2 could determined by measuring the CO2 exchange coefficient on sea interface and the measuring the different partial pressure of CO2 between the air and sea. In this study, CO2 flux distribution of Indonesian waters in 2007 to 2009 was computed using monthly CO2 exchange and the different partial pressure of CO2 estimated from wind speed, salinity, SST, and sea characteristic, which were obtained from satellite data. The carbon dioxide flux thus was estimated and discussed by two different designs of transfer velocity (k), of Wanninkhof (1992), kW92 relationship and by Nightingale et al. (2000), kN, relationship. The result indicated that generally, Indonesian water was emitting the CO2 to the air. Average CO2 emitting from sea to the air for recent year in 2007 to 2009 are 3.80 (mol m-2year-1) and 2.85 (mol m-2year-1) with kW92 relationship and kN relationship calculation, respectively. The total average CO2 emission from sea to the air in 2007 to 2009 for the Indonesian waters areas are 0.15 (PgC year-1) and 0.12 (PgC year-1) based on kW92 relationship and kN relationship calculations, respectively.
ESTIMATION OF GROSS PRIMARY PRODUCTION USING SATELLITE DATA AND GIS IN URBAN AREA, DENPASAR A.R. As-syakur; T. Osawa; I W.S. Adnyana
International Journal of Remote Sensing and Earth Sciences Vol. 7 No. 1 (2010)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2010.v7.a1544

Abstract

Remote sensing data with high spatial resolution is very useful to provideinformation about Gross Primary Production (GPP) especially over spatial coverage in theurban area. Most models of ecosystem carbon exchange based on remote sensing data usedlight use efficiency (LUE) model. The aim of this research was to analyze the distributionof annual GPP urban area of Denpasar. Two main satellite data used in this study wereALOS/AVNIR-2 and Aster satellite data. Result showed that annual value of GPP usingALOS/AVNIR-2 varied from 0.130 gC m-2 yr-1 to 2586.181 gC m-2 yr-1. Meanwhile, usingAster the value varied from 0.144 gC m-2 yr-1 to 2595.264 gC m-2 yr-1. The annual value ofGPP ALOS was lower than the value of Aster, because ALOS have high spatial resolutionand smaller interval of spectral resolution compared to Aster. Different land use couldeffect the value of GPP, because the different land use has different vegetation type,distribution, and different photosynthetic pathway type. The high spatial resolution of theremote sensing data is crucial to discriminate different land cover types in urban region.With heterogeneous land cover surface, maximum value of GPP using ALOS/AVNIR-2was smaller than that of Aster, however, the annual mean of GPP value usingALOS/AVNIR-2 was higher than that of Aster.
Application of New Empirical Algorithm in Coastal Waters of Padanggalak Beach to Detect Total Suspended Solid Value Astiti, Sagung Putri Chandra; Dharma, I Gusti Bagus Sila; Pariartha, I Putu Gustave Suryanthara; As-Syakur, Abd. Rahman; Arsana, I Gusti Ngurah Kerta
ASTONJADRO Vol. 15 No. 1 (2026): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v15i1.19633

Abstract

Total Suspended Solid is one of the important indicators in the physical parameters to determine the quality status of the waters studied. In this case, researchers will create a new algorithm to detect TSS values ​​at Padanggalak Beach, where the beach is the estuary of the Ayung Watershed. The creation of the algorithm that has been carried out by several researchers took the case in coastal waters, so that the algorithm will cause a fairly high difference in value when applied to other coastal areas. Coastal areas in each place have different characteristics, where coastal areas are dynamic areas, influenced by various factors including climate, weather, wind direction, ocean currents and characteristics of the use of the surrounding environment. Field data taken in the form of seawater samples were then tested in the laboratory to produce TSS concentration values ​​at each sample point. Field observations for TSS sampling in the coastal waters of the Ayung DAS estuary located at Padanggalak Beach were carried out on Wednesday, August 14, 2024 at 08.00 - 10.30 WITA. The form of the new algorithm equation produced along with its correlation level is TSS = -25.096 x (B6/B11) + 42.415, for TSS estimation at Padanggalak Beach. Based on the results of the analysis of the determination coefficient of the New Empirical TSS Algorithm with Insitu TSS, the R2 result was 0.6812. This shows that the results of in situ data and the results of satellite image processing using the New Empirical Algorithm are considered to have a strong correlation relationship, which means that the TSS results from the empirical algorithm are quite in accordance with the TSS results in the field at the Ayung DAS Estuary (Padanggalak Beach).
Co-Authors A. A. Md. Ananda Putra Suardana A. A. Md. Ananda Putra Suardana A. Besse Rimba Abd. Rahman Adi Ariyanto Wibisono Agung Dwi Wijaya Agung Dwi Wijaya Agus Sukma Yogiswara Alfandy Putra Anugrah Anak Agung Ketut Darmadi Andiani, Anak Agung Eka Azhar Muhammad Hanisa Aziz, Kholifatul Azura Ulfa Azura Ulfa Azura Ulfa, Azura Chonnaniyah Chonnaniyah Dewa Ayu Intan Tirta Sari Dewi, I Gusti Ayu Istri Pradnyandari Dian Novianto Dwi Budi Wiyanto Egmont congdenjit Elis Molidena Elok Faiqoh Erwin Prastowo Ferdinan, David Firman Fusanori Miura Gathot Winarso Gathot Winarso Gathot Winarso, Gathot Gayatri, Ni Nyoman Puspa Gde Oka Widiyavedanta Gede Dicky Pradipta Wedayana Gede Surya Indrawan Gede Surya Indrawan Herlambang Aulia Rachman Herlambang Aulia Rachman I Dewa Gede Agung Pandawana I Gede Adi Swastana I Gusti Agung Bagus Wisesa Sastra I GUSTI ALIT GUNADI I Gusti Ayu Kunti Sri Panca Dewi I Gusti Bagus Sila Dharma I Gusti Ngurah Putra Dirgayusa I Kadek Dedy Antara Putra I Komang Subandi I Made Ekayana I Made Saka Wijaya I Made Sara Wijana I Made Sara Wijana I Made Sara Wijana I MADE SUDARMA I Made Sukewijaya I Made Yunarta I Nyoman Dibia I Nyoman Sunarta I Nyoman Wardi I Putu Dedy Pratama I PUTU GUSTAVE SURYANTARA PARIARTHA I Putu Ranu Fajar Maharta I Putu Sugiana I W.S. Adnyana I Wayan Artadana I Wayan Arthana I Wayan Eka Dharmawan I Wayan Gede Astawa Karang I Wayan Kasa I Wayan Nuarsa I Wayan Nuarsa I Wayan Nuarsa I Wayan Restu I Wayan Rusna I Wayan Sandi Adnyana I Wayan Sandi Adnyana I Wayan Suarna I.W. Diara I.W. Rusna Ida Ayu Alit Laksmiwati Indriyanti, Komang Dessica Irwan Jatmiko Istri Pradnyandari Dewi, I Gusti Ayu Joseph Maina Kadek Bagus Padmaningrat Kholifatul Aziz Kholifatul Aziz Komang Kartika Indi Swari Laily Mukaromah M. Rheza Rizki Syahputra M. Rheza Rizki Syahputra M. Sudiana Mahendra Mu'tasim Billah Muhammad Rizki Nandika Muhammad Rizki Nandika Nandika, Muhammad Rizki Nanin Anggraini Nanin Anggraini Nanin Anggraini, Nanin Ni Kadek Apriantari Ni Made Ernawati, Ni Made Ni Wayan Ekayanti Ni Wayan Loviasari Novanda, I Gede Agus Pariartha, I Putu Gustave Suryanthara Parwayoni, Ni Made Susun Prasetio, Wiji Pratama, I Putu Dedy Premananda, I Wayan Hari Premananda, Made Goura Primajana, Dewa Jati Putu Angga Wiradana Putu Angga Wiradana Putu Gede Ardhana Rahardja, Viryanando Evan Ratih Dewanti Ratih Dewanti Ratih Dewanti -Hariyadi Sagung Putri Chandra Astiti Sastra Ardi Agamis Ilhami Stuart Campbell Suardana, A. A. Md. Ananda Putra T. Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Tasuku Tanaka Tiara Permata Sari Viryanando Evan Rahardja Wibisono, Adi Ariyanto Widiastuti Karim Wijana, Made Sara Wijaya, Agung Dwi Wijaya, I Made Saka Wiji Prasetio Wiji Prasetio Wirayuhanto, Harish Yulianto Suteja Zainul Hidayah Zulfa, Rozifatul