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Dietriech G. Bengen
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Jurnal Ilmu dan Teknologi Kelautan Tropis
Published by Institut Pertanian Bogor
ISSN : 20879423     EISSN : 2620309X     DOI : https://doi.org/10.29244/jitkt
Core Subject : Science,
Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Library & Information Science
Aims and Scope Journal of Tropical Marine Science and Technology (Jurnal Ilmu dan Teknologi Kelautan Tropis) is a scientific journal in the field of tropical marine science and technology. We have a aims and scope to focus in publishing a good quality scientific articles for dissemination of research results in the field of marine science and technology. Aims As an media of information and dissemination of research results in the field of marine science and technology, especially in the waters of Indonesia and Southeast Asia region, Could actively and continuously disseminate the best research results to various stakeholders, and; This Journal of Tropical Marine Science and Technology can improve the quality of research results and benefit stakeholders. Scope The article, published in this Journal of Tropical Marine Science and Technology covers a wide range of research topics in the field of: marine biology, marine ecology, biological oceanography, chemical oceanography, physical oceanography, dynamical oceanography, coral reef ecology, marine acoustic, marine remote sensing, marine geographical information system, marine microbiology, marine polution, marine aquaculture, post-harvest fisheries technology, integrated coastal management (ICM) marine biotechnology, air-sea interaction, ocean engineering,
Arjuna Subject : Umum - Umum
Articles 658 Documents
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Sedimentation Rate Analysis in Public Port, Lhokseumawe City Yudho Andika; Erniati; Imanullah; Hafli, T. Mudi; Hasibuan, Rani Adinda Melani; Harahap, Usnia Puada; Febriza, Fira; Putra, M. Afif Tri; Syakura, Abdan
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 1 (2025): 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.v17i1.58724

Abstract

Sedimentation is the process of deposition of material from rocks that is transported by the movement of water and wind. Sedimentation that takes place continuously causes siltation in water areas. If shallowing occurs in the port area, it will have an impact on the decline in port functions and even threaten the security of sea transportation routes. The purpose of this study was to analyze the rate of sedimentation in the General Port of Lhokseumawe City which includes sediment characteristics and oceanographic parameters that affect the sedimentation process. This study used a survey method with purposive sampling at 4 observation stations for 7 days. The highest sedimentation rate was found at Station 4 which was 6,22 mg/cm2/day and the lowest at Station 2 which was 3,65 mg/cm2/day. The dominant sediment grain size in the General Port of Lhokseumawe City is very fine sand type with a value of 38,04%. PCA analysis of very fine sand type sediments deposited the most. The highest current velocity at station 2 with a value of 0.10 m/s while the highest tide on the first day was 320 cm in height. The current speed has an inversely correlation to the sedimentation rate with a value of 81,52%.
Heavy Metal Absorption in Lasolo Bay using a Composite of Cashew-Based Activated Charcoal and Iron Sand, Southeast Sulawesi, Indonesia Eso, Rosliana; Irawati; Bahdat; Asmadin; Arman; Alfat, Syahdin; Hasan, Erzam S
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 2 (2025): 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.v17i2.63332

Abstract

This study used a composite of activated charcoal and iron sand extract to reduce the concentrations of heavy metals (Cu, Ni, Zn, Pb, and Cd) in polluted seawater. The grain size of the composite was varied to 60 mesh, 100 mesh, and 200 mesh, with a ratio of activated charcoal to iron sand of 2:3 to optimize absorption. The composite was then compacted into pellets with compaction pressures of 42.2 Pa, 84.8 Pa, and 141.5 Pa, respectively, to achieve optimum compressive strength. The concentrations of heavy metals were measured using an Atomic Absorption Spectrophotometer (AAS). The optimal compaction pressure for the composite was found to be 141.5 Pa, with absorption efficiencies of 61% for Zn, 96% for Pb, 48% for Cd, 90% for Cu, and 94% for Ni. According to the research results, the highest absorption was obtained in composites with a grain size of 200 mesh, with absorption efficiencies of 62.21% for Zn, 96.87% for Pb, 48.14% for Cd, 90.98% for Cu, and 94.15% for Ni. The greater the compaction pressure exerted on the composite, the higher the absorption percentage of the composite pellets. Conversely, a finer grain size also contributes to higher absorption.
SIMULASI PERTUMBUHAN TERUMBU KARANG (Porites lutea) DENGAN METODE LOGIKA FUZZY DI PULAU TUNDA PROVINSI BANTEN Koropitan, Alan Frendy; Zamani, Neviaty P; Idris, Muhamad Kemal
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 2 (2025): 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.v17i2.63475

Abstract

Terumbu karang adalah ekosistem purba, megah, dan tinggi produktivitas serta keanekaragamannya (Thomas dan Raymond, 2008). Terumbu karang bertumbuh setiap tahun dengan ukuran yang berbeda-beda tergantung pada kondisi lingkungan sekitar (Arman et al., 2013). Penelitian mengenai pertumbuhan terumbu karang sudah banyak dilakukan, namun prediksi pertumbuhan karang menjadi topik yang menarik dan belum banyak diteliti. Penelitian ini bertujuan untuk mengembangkan model pertumbuhan terumbu karang berdasarkan lingkar tahunan dengan metode logika fuzzy. Suhu permukaan laut (SPL) adalah salah satu faktor kunci yang mempengaruhi pertumbuhan terumbu karang (Westmacott et al., 2000; Sterr, 2001; Koontanakulvong, 2008; Thomas dan Raymond, 2008; Arman et al., 2013; Lalang, 2015). Analisis Indian Ocean Dipole (IOD) menemukan lima fenomena, ditandai oleh kenaikan SPL yang cukup signifikan. Lima fenomena tersebut terjadi pada tahun 1966-1967 (+IOD), 1969-1970 (-IOD), 1973-1974 (-IOD), 1983-1984 (-IOD), serta tahun 1987-1988 (+IOD). Hasil penelitian menunjukkan bahwa lingkar tahunan Porites lutea di stasiun sisi utara Pulau Tunda polanya mengikuti fluktuasi SPL. Stasiun di selatan Pulau Tunda yang berhadapan langsung dengan Pulau Jawa, polanya tidak mengikuti pola SPL. Stasiun di utara berbatasan langsung dengan perairan terbuka dan tidak terlindung dari pulau-pulau di sekitar. Simulasi pertumbuhan menunjukkan bahwa terumbu karang akan mampu beradaptasi terhadap perubahan iklim. Pada tahun 2085, terumbu karang bertumbuh dari -0,75 cm dan bergerak naik menjadi 0,1 cm di tahun 2100. Berdasarkan proyeksi SPL pada rentang tahun 1900-2100, anomaly SPL akan terus naik hingga mencapai 0,45 °C.
Analysis of Water Suitability for Ecotourism Development on Several Beaches in Morella Village, Central Maluku Regency, Maluku Province Leiwakabessy, Fredy; Kubangun, Muhammad Tarmizi; Pattiasina, Eifan Boyke
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 2 (2025): 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.v17i2.63710

Abstract

Maluku is an archipelago whose territory is coastal and marine which is suitable for tourism. The tourism value and attractiveness of coastal areas should be developed through marine tourism. This study aims to analyze current speed, water depth, pH, DO, temperature, salinity, sigma-t, chlorophyll-a, and turbidity-m as physical, chemical, and biological indicators in the Lubang Buaya and Moki Beach ecotourism areas. Water sampling was carried out using Kemmerer bottles at different depths, namely at the surface and at a depth of 20 meters.Water samples are used to analyze chemical elements both horizontally and vertically. Sample analysis was carried out at the Oceanology Laboratory and Basic Biology Laboratory of Pattimura University.The test parameters in this study were water depth, temperature, salinity, sigma-t, chlorophyll-a, turbidity-m using conductivity, temperature, and depth (CTD), current speed using a current meter, pH using a pH meter, and dissolved oxygen (DO) using a DO meter. The waters of Lubang Buaya Beach and Moki Beach, Morella Village, Central Maluku Regency, Maluku Province have water conditions, namely pH, temperature, salinity, sigma-t, chlorophyll-a, turbidity-m, and brightness with appropriate categories, while DO with an inappropriate category based on water assessment standards. The assessment results show the waters' suitability for ecotourism development at a surface depth of 0 meters and a bottom depth of 3 to 25 meters. The minimum current speed of 0.003 m/s and the maximum current speed of 0.36 m/s are suitable for boating, banana boating and jet skiing activities.
Long-Term Monitoring of Mangrove Resilience in the Sundarbans after Cyclone Sidr and Aila using Landsat-Derived Vegetation Indices Rahman, Md. Saifur; Rahman, Md. Mostafizur; Rahman, Syed Hafizur
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 2 (2025): 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.v17i2.64452

Abstract

The present work aims at assessing vegetation patterns and of the recovery process over the long term (2006 to 2025) in the Sundarbans mangroves based on the NDVI and SAVI. Landsat 5 TM and Landsat 8 OLI surface reflectance images were processed in Google Earth Engine to derive seasonal composites for the dry season (December–February). A supervised classification method was used to delineate five land-cover classes, namely water bodies, bare soil, sparse, intermediate, and dense vegetation. Accuracy assessment was carried out by visual interpretation of the sample points by using Google Earth Pro where overall accuracy was in the 88–93% over the entire study period. In 2006, dense vegetation was the most dominant (~68%) and sparse and intermediate other categories had low frequency and water bodies covered 21% of plots. For post-Sidr in 2008, nearly all plants showed more severe damage (76-79%). Post-Aila (2010) data suggested continuous intermediate (46%) and sparse (25%) vegetation cover but with negligible closed canopy. During 2015, the dense vegetation recovered to 60%, and dynamic changes among dense, intermediate, and sparse vegetation areas emerged, and the area of dense vegetation was up to 67% in 2025 indicating that the long-term restoration exhibits space heterogeneity. NDVI was effective for monitoring the overall trend of large scale canopy, while SAVI was able to capture very small scale regeneration and understory growth. The findings show the impressive resilience of the Sundarbans and the significance of such key ecological processes as canopy recovery and succession, and the need for more adaptive management to improve mangrove resilience in cyclone-prone coastal areas.
Seagrass Restoration Review: Spatial Analysis of Potential Habitats, Innovative Restoration Methods, and Predictive Modeling for Monitoring Tika, Nurhasanah; Fauziah, Yasmin; Nurfata, Azzahra Shinta Bilqis; Koesratmoko, Eko; Patria, Mufti Petala; Silaban, Denny Riama
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 2 (2025): 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.v17i2.64544

Abstract

  Seagrass ecosystems are vital for maintaining marine ecological balance, supporting the blue carbon cycle, offering habitat for marine organisms, and safeguarding coastal areas against erosion. Nevertheless, seagrass ecosystems worldwide are declining substantially due to human activities and climate change. This trend is also evident in Indonesia, where approximately 7% of seagrass coverage is lost annually. This research examines existing literature on seagrass restoration by focusing on three key approaches: spatial assessment of suitable habitats, advancements in physical restoration techniques, and the creation of predictive models for evaluating restoration outcomes. The goal is to offer comprehensive insights into the challenges and prospects for improving management and establishing more effective and sustainable restoration strategies in coastal environments. A Systematic Literature Review (SLR) combined with bibliometric analysis was conducted on 177 publications from the Scopus database spanning 2019 to 2024 to identify research trends, technological advancements, and existing challenges in seagrass restoration. The research emphasizes the necessity of a holistic approach to seagrass restoration, incorporating spatial analysis, developing flexible restoration techniques, and implementing predictive modeling and statistical assessments to enhance long-term planning and monitoring efforts. The case study in Jepara demonstrates the effectiveness of participatory approaches at the local scale, despite limitations in technology and long-term monitoring. Integrating spatial and digital technologies, strengthening local capacity, international collaboration, and multidisciplinary integration are key to improving the effectiveness and sustainability of seagrass restoration, while strengthening its contribution to coastal resilience and climate change mitigation.
Machine Learning-Based Mapping of Mangrove Forest Changes from Sentinel-2 in Balikpapan Bay, East Kalimantan Al Hakim, Muhammad Abdul Ghofur; Sinurat, Maya Eria Br; Zulkifle, Nurul Ain Najwa; Nurmawati; Mas’ud M, Ahmad Azwar
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 3 (2025): 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.17.3.67707

Abstract

Balikpapan Bay contains extensive mangrove forests which play an important role as habitat for a range of species and in providing a range of ecosystem services. In recent years, the mangrove forests around Balikpapan Bay are increasingly being lost and degraded due to development pressures. Thus, change detection in mangrove ecosystem has become highly relevant, as it can provide essential information to support the conservation practices and coastal management. This study aims to map mangrove forest change in Balikpapan Bay, East Kalimantan over a five-year period from Sentinel-2 using machine learning. Five machine learning algorithms (Random Forest (RF), Support Vector Machine (SVM), Classification and Regression Tree (CART), K-Nearest Neighbors (KNN), and Minimum Distance), implemented on the Google Earth Engine platform, were evaluated to determine the most suitable method. The evaluation results indicate that RF, SVM, and CART yielded mangrove mapping accuracies of 80% or higher. Notably, the CART algorithm surpassed the other tested models, demonstrating the highest overall accuracy of 84% and a Kappa coefficient of 0.78. Mapping using the selected CART model shows that, between 2020 and 2025, mangrove areas in Balikpapan Bay decreased by 21% (2,906.17 ha). Approximately 97% (2,834.49 ha) of this loss is concentrated in the North Penajam Paser, which has a high rate of land conversion to built-up areas.
Echogram Image Analysis for Pelagic Fish School Classification in Bungus Waters, West Sumatra Lansky, Jovian; Solikin, Steven; Pujiyati, Sri; Hestirianoto, Totok
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 3 (2025): 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.17.3.69567

Abstract

Tropical marine fisheries are characterized by high species diversity but low individual abundance per species within the same water column, making the detection of distinct fish schools challenging using hydroacoustic technology. However, a hydroacoustic survey conducted in Bungus, West Sumatra, in October 2023 revealed the presence of approximately 14 identifiable fish schools of varying sizes, indicating the potential for further analytical investigation. This study aims to characterize and classify fish schools by analyzing echogram imagery and extracting key acoustic parameters through a statistical multivariate approach. Acoustic data were collected using a Simrad EK-15 echosounder operating at 200 kHz. Subsequent data processing was performed in Echoview, followed by multivariate analysis. From an initial dataset of 24 detected schools, 12 parameters were retained for analysis. These parameters were categorized into three groups: (1) energetic parameters, including target strength (TS), volume backscattering strength (Sv), area backscattering strength (Sa), skewness, and kurtosis; (2) morphometric parameters, consisting of school height, length, perimeter, and volume; and (3) bathymetric parameters, represented by average school depth. Latitude and longitude were included as supplementary spatial descriptors. Among the 12 parameters, latitude did not contribute to school characterization and was therefore excluded from further analysis. Multivariate results indicated that morphometric parameters (particularly school height and area) and energetic parameters (Sa and TS) were the most influential in differentiating school structure. Cluster analysis based on the remaining 11 parameters identified two distinct groups of fish schools: Group 1, comprising 14 schools (58.3%), and Group 2, comprising 10 schools (41.7%). These findings demonstrate that integrating hydroacoustic metrics with multivariate statistical methods provides an effective framework for identifying and characterizing fish schools in tropical waters with inherently complex species assemblages.

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