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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis JURNAL PERIKANAN DAN KELAUTAN TROPIS BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Ilmu Kelautan Spermonde Jurnal Ilmu Kelautan Kepulauan Akuatikisle: Jurnal Akuakultur, Pesisir dan Pulau-Pulau Kecil
Amran, Muhammad Anshar
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Immunology & microbiology Library & Information Science Veterinary

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Estimating Phytoplankton Abundance Using Sentinel 2A Images In Langa-Jampue Water Area, Pinrang Regency Muhtar, Siti Asmutianti; Amran, Muhammad Anshar; Hatta, Muh.
JURNAL PERIKANAN DAN KELAUTAN TROPIS Vol. 12 No. 2 (2023): EDISI MEY-AGUSTUS 2023
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jpkt.v12i2.52523

Abstract

This study aims to estimate the abundance of phytoplankton using Sentinel-2 imagery in the Langa – Jampue water area of Pinrang Regency for Sentinel-2 image recording on February 28, 2022. This study was conducted from January – July 2022 by taking phytoplankton samples, conducting sample analysis in the laboratory, and processing Sentinel-2 image data on February 28, 2022 recording. The results of the study found 5 classes of phytoplankton, namely Bacillariophyceae, Cyanophyceae, Dyanophyceae, Peridinae, and Dinophyceae with a total of 34 phytoplankton genera and 4 dominating genera, namely Astereonolepsis, Rhizosolenia, Chaetoceros, and Ceratium. The highest phytoplankton abundance was obtained in transect 2 on point with an abundance of 977 cells/liter and the lowest abundance in transect 3 on point 24 which was 282 cells/liter. The regression test results between phytoplankton abundance and pixel band values 8, band 3, and band 2 on Sentinel-2 images produced an r-square value of 0.495 and obtained a positive correlation value between the pixel band 8 value and the phytoplankton abundance value with a correlation value of 0.529 which means that band 8 can be used for estimating phytoplankton abundance in marine remote sensing systems. The result of the paired t-test revealed that the abundance of phytoplankton based on the results of image processing and relative laboratory analysis was equal to a significant value of 0.999 Keywords: Phytoplankton, Sentinel-2 Imagery, Band 8 Abstrak Penelitian ini bertujuan untuk mengestimasi kelimpahan fitoplankton menggunakan citra Sentinel-2 di wilayah perairan Langa – Jampue Kabupaten Pinrang untuk perekaman citra Sentinel-2 pada tanggal 28 Februari 2022. Penelitian ini dilakukan pada bulan Januari – Juli 2022 dengan mengambil sampel fitoplankton, melakukan analisis sampel di laboratorium dan mengolah data citra Sentinel-2 pada perekaman 28 Februari 2022. Hasil dari penelitian ditemukan 5 kelas fitoplankton yaitu Bacillariophyceae, Cyanophyceae, Dyanophyceae, Peridinae, Dinophyceae dengan total 34 genus fitoplankton dengan 4 genus yang mendominasi yaitu Astereonolepsis, Rhizosolenia, Chaetoceros dan Ceratium. Kelimpahan fitoplankton tertinggi didapatkan pada transek 2 yaitu pada titik 9 dengan kelimpahan 977 sel/liter dan kelimpahan terendah pada transek 3 yaitu pada titik 24 dengan kelimpahan 282 sel/liter. Hasil uji regresi antara kelimpahan fitoplankton dan nilai pixel band 8, band 3 dan band 2 pada citra Sentinel-2 menghasilkan nilai r-square yaitu 0,495 dan didapatkan nilai korelasi yang positif antara nilai pixel band 8 dan nilai kelimpahan fitoplankton dengan nilai korelasi 0,529 yang berarti band 8 dapat digunakan untuk pendugaan kelimpahan fitoplankton pada sistem penginderaan jauh kelautan. Dari hasil uji-t paired dapat diketahui bahwa kelimpahan fitoplankton dari hasil pengolahan citra dan hasil analisis laboratorium realtif sama dengan nilai signifikan 0,999 Kata kunci: Fitoplankton, Citra Sentinel-2, Band 8
Mangrove Health Index Using MonMang v2.0 Application In Sei Nyirih, Tanjungpinang City Imelyannari, Arum Rizki; Susiana, Susiana; Amran, Muhammad Anshar
Akuatikisle: Jurnal Akuakultur, Pesisir dan Pulau-Pulau Kecil Vol 9, No 2 (2025)
Publisher : Sangia Research Media and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29239/j.akuatikisle.9.2.87-92

Abstract

The mangrove ecosystem is a plant that is closely related to water. Mangroves have an important role in preserving aquatic ecosystems, beaches and even land areas. The important role of mangroves in these waters will of course be directly related to the health condition of mangroves in an ecosystem. Mangrove health is an integral part of sustainable management of mangrove ecosystems. The research carried out on the mangrove ecosystem in the Sei Nyirih water area aims to determine the Mangrove Health Index, Community Structure and Important Value Index. This research method uses Purposive Sampling at three stations with three plots at each station. The results of the research in the Sei Nyirih mangrove area were divided into three categories, namely the Tree Category, Sapling Category and Seedling Category with the types found namely Rhizopora apiculata, Bruguiera gymnorhiza, Xylocarpus granatum, Schyphipora hysrophylacea, Ceriops tagal and Lumnitzera littorea. The Importance Value Index is dominated by the Rhizopora apiculata type in the Tree and Sapling Category, while in the Seedling Category it is the Xylocarpus granatum type. Then the Mangrove Health Index (MHI) obtained from the MonMang V 2.0 Application Station 1 with an average of 67.34% or in the Excellent category, Station 2 with an average of 66.57% or in the Moderate category and Station 3 with an average of 67.62% or in the Excellent category. Meanwhile, the Mangrove Health Index uses Excel Station 1 with an average of 76.07% or in the Excellent category, Station 2 with an average of 74.96% or in the Excellent category and Station 3 with an average of 78.62% or in the Excellent category.
PROFIL DISTRIBUSI DAN KONDISI MANGROVE BERDASARKAN PASANG SURUT AIR LAUT DI PULAU BANGKOBANGKOANG KECAMATAN LIUKANG TUPABBIRING KABUPATEN PANGKEP Hayati, Nurul Fitri; Muhiddin, Amir Hamzah; Amran, Muhammad Anshar
Jurnal Ilmu Kelautan SPERMONDE VOLUME 3 NUMBER 1, 2017
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v3i1.2125

Abstract

Mangrove forests are a community of tropical and subtropical beach vegetation, capable of growing and developing in tidalareas. This study aims to obtain information on the type and density of mangrove species by using remote sensing applicationsand to obtain mangrove distribution profile based on tidal. This research has been conducted in Bangkobangkoang IslandTupabbiring Sub-district of Pangkep Regency in September-October 2016. This research covers species inventory, mangrovedensity level using Landsat 8 image with Acquisition 6 June 2016 and mangrove distribution based on sea tides. The resultsshowed that mangrove vegetation density conditions in Bangkobangkoang island were generally in good condition. The typesof mangroves on the island of Bangkobangkoang are Rhizophora stylosa, Rhizophora apiculata, Rhizophora mucronata,Sonneratia alba, and Avicennia marina. The dominant mangrove species are Rhysophora stylosa and Rhizophora apiculata.Mangrove distributed at the highest tide with Rhyzophora stylosa type will be submerged while at lowest tide generally nomangrove is submerged except on the western island with the same type of Rhyzophora stylosaKey words: Mangrove, Landsat-8, Density, Ddistributions profile
SPATIAL-TEMPORAL DISTRIBUTION OF CHLOROPHYLL-A IN SOUTHERN PART OF THE MAKASSAR STRAIT Daming, Wasir Samad; Amran, Muhammad Anshar; Muhiddin, Amir Hamzah; Tambaru, Rahmadi
Jurnal Ilmu Kelautan SPERMONDE VOLUME 4 NUMBER 1, 2018
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v4i1.3804

Abstract

Surface chlorophyll-a (Chl-a) distribution have been analyzed with seasonal variation during southeast monsoon in southern part of Makassar Strait and Flores Sea. Satellite data of Landsat-8 is applied to this study to formulate the distribution of chlorophyll concentration during monsoonal wind period. The distribution of chlorophyll concentration was normally peaked condition in August during southeast monsoon. Satellite data showed that a slowdown in the rise of the distribution of chlorophyll in September with a lower concentration than normal is likely due to a weakening the strength of southeast trade winds during June – July – August 2016. Further analysis shows that the southern part of the Makassar strait is likely occurrence of upwelling characterized by increase in surface chlorophyll concentrations were identified as the potential area of fishing ground.
HORIZONTAL COORDINATE ACCURACY OF GOOGLE EARTH ON THE COVERAGE OF SMALL ISLANDS OF MAKASSAR CITY, INDONESIA Amran, Muhammad Anshar; Nirwana, Ira; Sam, Nurfitri; Ulfi Syamsiah; Muhiddin, Amir Hamzah
Jurnal Ilmu Kelautan SPERMONDE VOLUME 8 NUMBER 1, 2022
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v8i1.18651

Abstract

The presence of high-resolution satellite imagery on Google Earth provides an opportunity for the availability of maps that can be used as a reference for accurate coordinates. Google Earth has been developed to contain high-resolution images, but it warns users about the accuracy of the data regarding the coordinates of the objects covered. Coordinate inaccuracies have the potential to cause problems when used for navigational purposes, or in technical tasks requiring high accuracy such as surveying and mapping applications. Despite these warnings, users are often forced to refer to Google Earth as a reliable data source due to the absence of other data sources. The purpose of this study is to evaluate the accuracy of Google Earth's horizontal coordinates and determine the maximum map scale that can be made based on coordinate data from Google Earth on the coverage of small islands in the Makassar City area. The method used is to compare the object coordinate obtained from Google Earth and the coordinate measured in the field at the same object point. The calculation results show the RMSEH is 2.49 meters and the horizontal accuracy is 4.28 meters. These results indicate that the horizontal coordinates on Google Earth can be referenced to produce a map with a maximum scale of 1: 10,000.
CALENDAR FOR PLANTING SEAWEED EUCHEUMA SP. IN MALLASORO BAY, JENEPONTO DISTRICT, BASED ON LANDSAT-8 IMAGES Amran, Muhammad Anshar; Niartiningsih, Andi; Faizal, Ahmad; Rasyid, Abdul; Muhiddin, Amir Hamzah; Arifin, Isnaeni
Jurnal Ilmu Kelautan SPERMONDE VOLUME 9 NUMBER 2, 2023
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v9i2.19961

Abstract

Seaweed cultivation activities in Jeneponto Regency have been practised for a long time and have become the main livelihood for most of the Mallasoro Bay community. In cultivating seaweed, obstacles often arise in the form of failures experienced by seaweed farmers or poor-quality yields. This study was aimed to develop alternative planting calendars for Eucheuma sp. in Mallasoro Bay, Jeneponto Regency based on sea surface temperature and distribution of chlorophyll-a obtained from Landsat-8 imagery. Image Processing Sea Surface Temperature and Chlorophyll-a were processed using ENVI 4.8 AND 5.3 software, the satellite images used were clean and without cloud disturbance. In this study, data analysis was carried out descriptively. The water temperature that is good for seaweed growth is 27-30˚C, for Mallasoro Bay Sea Surface Temperature which is suitable for seaweed cultivation, namely April, May, June, July, August, September, October and November. While the classification is based on the criteria for chlorophyll-a trophic status in marine waters, namely the range < 1 mg/L is classified as Oligotrophic, ≥ 1–3 mg/L is classified as Mesotrophic, ≥ 3–5 mg/L is classified as Eutrophic, and > 5 mg/L is classified as Hypertrophic. , from the results of image analysis for the distribution of chlorophyll-a in Mallasoro Bay, it shows that Mallasoro Bay is at the Mesotrophic level throughout the year or the fertility level of the waters is quite fertile because it is in the range of ≥ 1–3 mg/L. so that a seaweed planting calendar can be obtained in Mallasoro Bay, namely in January, February and December, preparation of tools such as cleaning and repair of seaweed planting tools can be carried out, then at the end of March, the end of May, the end of July and the end of September, the procurement of seaweed seeds is carried out. , in early April, early June, early August, and early October, seaweed seeds can be spread, then in mid-May, mid-July, mid-September, and mid-November, harvesting can be carried out, so that seaweed cultivation can be carried out 4 times in one year. cycle.
KOMPARASI KLASIFIKASI TUTUPAN LAMUN BERDASARKAN ALGORITMA SVM DAN FUZZY MENGGUNAKAN CITRA MULTI-SKALA DI PULAU KODINGARENG LOMPO Sabilah, Anisa Aulia; Siregar, Vincentius Paulus; Amran, Muhammad Anshar
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 13 No. 1 (2021): 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.v13i1.34765

Abstract

Padang lamun mempunyai peranan ekologi bagi lingkungan laut dangkal yaitu sebagai habitat biota, produsen primer, penangkap sedimen serta berperan sebagai pendaur zat-zat hara. Mengingat pentingnya peranan ekosistem padang lamun maka kelestarian sumber daya alam ini perlu dijaga, oleh karena itu pemetaan dan pemantauan yang terus-menerus terhadap keberadaan padang lamun sangat penting dilakukan. Metode penginderaan jauh merupakan metode yang dapat digunakan untuk memetakan dan memantau kondisi padang lamun. Perkembangan teknologi sensor satelit yang pesat saat ini, khususnya resolusi spasial dan spektral sensor meningkatkan kualitas peta sebaran lamun. Penggunaan metode dan skema klasifikasi yang kurang tepat dalam klasifikasi kondisi lamun dari citra satelit juga termasuk hal yang dapat memengaruhi akurasi peta, sehingga dibutuhkan berbagai alternatif kajian algoritma yang digunakan. Pada penelitian ini digunakan algoritma Support Vector Machine dan Logika Fuzzy menggunakan citra satelit WorldView-2 dan Sentinel-2 di Pulau Kodingareng Lompo dengan empat kelas tutupan lamun yaitu jarang (0-25%), sedang (26-50%), padat (51-75%), dan sangat padat (76-100%). Hasil yang diperoleh adalah algoritma Logika Fuzzy menggunakan citra WorldView-2 memiliki akurasi keseluruhan klasifikasi tutupan lamun yang paling baik sebesar 78,60%.
Pemetaan batimetri perairan sekitar Pulau Barranglompo menggunakan citra Sentinel-2 Amran, Muhammad Anshar; Daming, Wasir Samad
Jurnal Ilmu Kelautan Kepulauan Vol 8, No 2 (2025): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v8i2.8810

Abstract

ABSTRAK Teknologi pemetaan kedalaman perairan (batimetri) telah berkembang pesat dari sisi piranti penduga kedalaman dan metode yang digunakan. Pemanfaatan penginderaan jauh satelit adalah salah satu dari cara pemetaan batimetri yang efektif dan efisien karena mampu mengkaji satu cakupan daerah yang luas dan sulit dijangkau, serta hasil berupa data digital yang mudah diakses oleh pengguna. Pemetaan batimetri dipengaruhi pula oleh jenis citra satelit yang dipakai, karena setiap jenis citra satelit memiliki kerincian yang berbeda dari segi resolusi spasial pixel maupun kepekaan sensor dalam pendeteksian. Penelitian ini bertujuan untuk mengaplikasikan citra Sentinel-2 dalam pemetaan batimetri perairan dangkal dengan menerapkan algorima Stumpf. Hasil penelitian ini menunjukkan bahwa citra Sentinel-2 dapat digunakan untuk pemetaan batimetri dengan ketelitian yang bagus yakni RMSerror mencapai 0,39 meter. Kata kunci: batimetri, penginderaan jauh, algoritma Stumpf, Sentinel-2
ESTIMATION OF SEAGRASS COVERAGE BY DEPTH INVARIANT INDICES ON QUICKBIRD IMAGERY Amran, Muhammad Anshar
BIOTROPIA Vol. 17 No. 1 (2010): BIOTROPIA Vol. 17 No. 1 June 2010
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (11251.102 KB) | DOI: 10.11598/btb.2010.17.1.43

Abstract

Management of seagrass ecosystem requires availability of information on the actual condition of seagrass coverage. Remote sensing technology for seagrass mapping has been used to detect the presence of seagrass coverage,  but so far no information on the condition of seagrass could be obtained. Therefore, a research is required using remote sensing imagery to obtain information on the condition of seagrass coverage. The aim of this research is to formulate mathematical relationship between seagrass coverage and depth invariant indices on Quickbird imagery. Transformation was done on multispectral bands which could detect sea floor objects that are in the region of blue, green and red bands. The study areas covered are the seas around Barranglompo Island and Barrangcaddi Island, westward of Makassar city, Indonesia. Various seagrass coverages were detected within the region under study. Mathematical relationship between seagrass coverage and depth invariant indices was obtained by multiple linear regression method. Percentage of seagrass coverage (C) was obtained by transformation of depth invariant indices (Xij) on Quickbird imagery, with transformation equation as follows: C = 19.934 – 63.347 X12 + 23.239 X23. A good accuracy of 75% for the seagrass coverage was obtained by transformation of depth invariant indices (Xij) on Quickbird imagery.   Keywords: seagrass coverage, depth invariant index
Co-Authors Abdul Rasyid Ahmad Faizal Amir Hamzah Muhiddin Andi Niartiningsih Arifin, Isnaeni Daming, Wasir Samad Hayati, Nurul Fitri Imelyannari, Arum Rizki Muh. Hatta Muhtar, Siti Asmutianti Nirwana, Ira Rahmadi Tambaru Sabilah, Anisa Aulia Sam, Nurfitri Susiana Susiana Ulfi Syamsiah Vincentius P Siregar