Utilization of remote sensing data to analyze the influence of oceanographic dynamics on scad fish (Decapterus ruselli) abundance in Kendari Waters, Indonesia Alfira Yuniar, Mukti Zainuddin, Safruddin, Muzzneena Ahmad Mustapha, Rachmat Hidayat, Siti Khadijah Srioktoviana Bio Web of Conferences, 2026 Scad fish ( Decapterus ruselli ) is an important pelagic fishery commodity in the Kendari Waters, but fluctuations in catch are often influenced by oceanographic dynamics. This study analyzed the relationship between oceanographic conditions and the abundance of scad fish based on fishermen's catch per unit effort (CPUE) data from 2022 and satellite- derived parameters, including sea surface temperature (SST), salinity (SSS), chlorophyll-a (CHL-a), and sea surface height (SSH). Spatial-temporal analyses were performed using Pearson correlation. Results revealed distinct seasonal variations with the highest CPUE observed in September (~665 kg trip-1). Significant negative correlations were found between SST (r=-0.36; p=0.041) and SSH (r=-0.30; p=0.048), indicating that lower temperatures and sea surface heights correspond to higher fish abundance reflecting the influence of upwelling processes that enhance nutrient availability and productivity. These findings confirm that physical oceanographic factors are more dominant than chemistry or biology in determining the availability of scad fish. The eastern period (August–October) was identified as the most productive and potential phase for fishing activities. This research provides a scientific basis for season-based fisheries management and oceanographic dynamics, while encouraging the sustainable use of fish resources.
ENSO and IOD influence on Indonesian Throughflow variability in the Makassar Strait and Banda Sea Siti Khadijah Srioktoviana, Mukti Zainuddin, Musbir Musbir, Muzzneena Ahmad Mustapha, St. Aisjah Farhum, Rachmat Hidayat, Alfira Yuniar Bio Web of Conferences, 2026 The Indonesian Throughflow (ITF) is a critical component of global ocean circulation, yet its response to simultaneous climate phenomena remains complex. This study examines the influence of El Niño- Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on oceanographic anomalies in the Makassar Strait and Banda Sea from 2021 to 2024. Satellite data for sea surface temperature (SST), chlorophyll-a (Chl- a), sea surface salinity (SSS), and surface current velocity (CUR) were analyzed to identify spatial distribution patterns during different climate phases. During La Niña, positive SST anomalies were observed due to strengthened ITF warm water transport and reduced upwelling. Conversely, during El Niño–IOD+ phases, SST anomalies were more localized, and Chl- a concentrations significantly decreased, particularly in the Banda Sea. Statistical analysis revealed that ENSO has a strong negative correlation with Chl-a (r = -0.58) and a strong positive correlation with CUR (r = 0.68) in the Makassar Strait. The findings highlight that ENSO and IOD act as primary drivers of regional oceanographic variability, significantly altering the biological and physical characteristics of the ITF corridors.
Geospatial Modeling of Habitat Suitability and Seasonal Variability of Bullet Tuna (Auxis rochei) in the Central Indonesian Coral Triangle Using Remote Sensing Data Siti Khadijah Srioktoviana, Mukti Zainuddin, Musbir Musbir, Muzzneena Ahmad Mustapha, Rachmat Hidayat, Alfira Yuniar International Journal of Engineering and Geosciences, 2026 Understanding habitat suitability for Bullet Tuna (Auxis rochei) is crucial for sustainable fisheries management, yet limited studies have integrated geospatial modeling for this purpose, particularly in the Banda Sea, part of the Indonesian Coral Triangle. This study employs remote sensing and geospatial analysis to predict Bullet Tuna habitat suitability and fishing seasonality. Key oceanographic parameters, including sea surface temperature (SST), chlorophyll-a (CHL), sea surface salinity (SSS), sea surface height (SSH), and ocean current velocity (CUR), were derived from MODIS and Copernicus satellite products and integrated with catch per unit effort (CPUE) records from 2018 to 2022. The MaxEnt model was selected for its robustness in predicting species distribution from presence-only data, while remote sensing enables continuous monitoring of dynamic oceanographic conditions across broad spatial scales. The Fishing Season Index (FSI) was applied to determine seasonal fishing patterns, and validation was conducted using 2023 fishing data to verify model predictions. Results indicate that SSS and SSH are the most significant determinants of habitat suitability, with optimal ranges of 33.50–34.00 psu and 0.72–0.74 m, respectively. The peak fishing season occurs from December to March, coinciding with high habitat suitability values and elevated CPUE. These findings offer actionable insights for dynamic fisheries management, marine protected area planning, and real-time monitoring of Bullet Tuna habitats in the Banda Sea and broader Coral Triangle region.
Habitat modeling of little tuna (Euthynnus affinis) in Makassar Strait (Indonesia) using MaxEnt ANDI RISDA FITRIANTI ABUDARDA, MUKTI ZAINUDDIN, RACHMAT HIDAYAT, SITI KHADIJAH SRIOKTOVIANA Biodiversitas, 2026 Abudarda ARF, Zainuddin M, Hidayat R, Srioktoviana SK. 2026. Habitat modeling of little tuna (Euthynnus affinis) in Makassar Strait (Indonesia) using MaxEnt. Biodiversitas 27 (1): d270142. https://doi.org/10.13057/biodiv/d270142. Euthynnus affinis, commonly known as little tuna, is an ecologically and economically important pelagic species that supports artisanal and commercial fisheries across the Indo-Pacific region. The Makassar Strait, a major pathway of the Indonesian Throughflow, exhibits pronounced seasonal and interannual variability in oceanographic conditions, which strongly influences the spatial and temporal distribution of pelagic fishes. This study presents the first application of the Maximum Entropy (MaxEnt) modeling framework to predict habitat suitability for E. affinis in the Makassar Strait. Presence-only occurrence records were related to key environmental variables derived from satellite observations, including sea surface temperature (SST), sea surface chlorophyll concentration (SSC), and sea surface salinity (SSS). SST and SSC data were obtained from the MODIS Aqua sensor (NASA Ocean Color) at a spatial resolution of 4 km, while SSS data were sourced from the Copernicus Marine Environment Monitoring Service. All environmental variables were compiled at a monthly temporal resolution from January 2019 to December 2023. The MaxEnt models showed strong predictive performance, with area under the curve values ranging from 0.78 in July to 0.92 in April, indicating good to excellent model accuracy. SST emerged as the most influential predictor, contributing 57.4 percent to model gain, followed by SSC and SSS. Habitat suitability was highest in the central and southern sectors of the strait, particularly during periods characterized by moderate SST and elevated SSC. Euthynnus affinis showed a preference for SST of approximately 29.31°C, SSC of 0.22 mg m⁻³, and SSS of 33.7 psu. Optimal habitats were largely concentrated in the southern Makassar Strait, especially around 4 to 5°S. These results demonstrate a clear association between regional oceanographic dynamics and the distribution of E. affinis. The findings provide essential baseline information for ecosystem-based fisheries management and support adaptive strategies for small-scale fisheries. Integrating these spatio-temporal habitat patterns into regional fisheries planning may improve resilience to environmental variability and help sustain tuna fisheries in the Makassar Strait.
Identifying local migration and habitat use of reproductive skipjack tuna (Katsuwonus pelamis) in the Bone Bay–Flores Sea, Indonesia Rachmat Hidayat, Mukti Zainuddin, Safruddin, Muzzneena Ahmad Mustapha, Siti Khadijah Srioktoviana, Alfira Yuniar, Dwi Fajrianti, Andi Risda Fitrianti Abudarda Egyptian Journal of Aquatic Research, 2026 Understanding the spatial behavior of reproductively mature skipjack tuna ( Katsuwonus pelamis ) is vital for sustainable fishery management in tropical marine ecosystems. This regional case study examined reproductive skipjack tuna habitat use in the Bone Bay–Flores Sea, Indonesia, integrating histological maturity assessment with satellite-derived sea surface temperatures (SST) and sea surface chlorophyll-a (SSC) from MODIS-Aqua to support management-relevant spatial guidance. Histological analysis of 200 samples identified reproductive stages to post-ovulatory follicles, confirming maturity at fork lengths ≥ 50 cm. Among the 45,225 catch records analyzed, only approximately 32% represented mature fish, while the remaining 68% were immature, indicating potential recruitment overfishing. Mature skipjack tuna were found in waters with SST between 29.2–30.6°C (mean ± SD: 30.05 ± 0.27°C) and SSC concentrations of 0.18–0.32 mg m –3 (mean ± SD: 0.22 ± 0.04 mg m –3 ). Spatial analysis using Pelagic Hotspot Index (PHI ≥ 0.75) and Center of Gravity (COG) methods identified persistent spawning zones across the years. These results underscore the ecological importance of specific oceanographic conditions and advocate for spatiotemporal management strategies. Recommendations include setting a minimum catch size of ≥ 50 cm, seasonal protection of spawning grounds, and the use of remote sensing for dynamic fishery monitoring. This approach offers a valuable model for ecosystem-based fishery management, particularly in data-limited tropical regions.
Analysis of the Relationship Between Density and the Number of Fisheries MSMEs on Fisheries Production at the Sub-District Level Sitti Hardiyanti Rachman, Sudirman Sukardi, Rachmat Hidayat, Dewi Kartika Sari, Siti Aisyah, Hafni Rahmawati, Candra, Widiyanto Iop Conference Series Earth and Environmental Science, 2026 The fisheries sector is one of the main drivers of coastal economic growth and small-scale enterprise development in Indonesia. Understanding the relationship between fisheries production and the development of fish-processing Micro, Small, and Medium Enterprises (MSMEs) is crucial for sustainable regional planning. This study aims to analyze the spatial and statistical relationship between fisheries production and the number and density of MSMEs in Tanah Bumbu Regency, South Kalimantan. The analysis combines spatial distribution using the Average Nearest Neighbor (ANN) method, density analysis based on Euclidean Distance , and correlation and regression modeling. The results show that MSME distribution exhibits a clustered spatial pattern with a nearest neighbor ratio (T = 0.375) and z-score = − 6.76 , indicating significant clustering. The highest concentrations occur in coastal districts such as Kusan Hilir, Simpang Empat, and Satui, which also record the highest production levels. Regression analysis reveals a strong positive correlation (r = 0.783; R 2 = 0.613) between production and MSME growth. These findings highlight that spatial accessibility to marine resources directly supports downstream economic activities and emphasize the importance of integrating blue economy policies with coastal spatial planning to achieve sustainable fisheries-based regional development.
Ecological Modelling of Potential Habitats for Indian Mackerel (Rastrelliger spp.) in the Western of Banda Sea using an Artificial Neural Network Approach Alfira Yuniar, Mukti Zainuddin, Safruddin, Muzzneena Ahmad Mustapha, Rachmat Hidayat, Siti Khadijah Srioktoviana Tropical Life Sciences Research, 2025 Indian mackerel (Rastrelliger spp.) is a species with high catch volumes, amounting to approximately 451.750 tonnes over five years. This substantial yield holds significant potential for local communities, making sustainable utilisation crucial. This study focuses on the fishing season of Indian mackerel (Rastrelliger spp.) and the development of a habitat suitability model in the waters of the western of Banda Sea, Indonesia. The Fishing Season Index (FSI) method identified November as the peak fishing season, with the highest CPUE recorded at 220 kg trip-1. During this period, stable salinity levels were observed, which supported the reproductive processes of Indian mackerel. Additionally, high rainfall and strong winds facilitated local upwelling, influencing currents and bringing nutrients to the surface, which were consumed by mackerel larvae. The ANN (Artificial Neural Network) models used to estimate potential fishing zones for Indian mackerel demonstrated high accuracy, with an error rate of just 1.12%. The analysis revealed that salinity and currents were the most influential environmental parameters, contributing 16% and 14% to catch success during the peak fishing season with salinity levels at 34.2 psu and current velocity at 3.29 cm s-1. The implementation of this model in analysing Indian mackerel habitats and their relationship with environmental factors supports data and technology-driven fisheries management. This study also introduces a novel integration of the Fishing Season Index (FSI) method and ANN modelling to simultaneously identify peak fishing seasons and predict potential fishing zones based on dynamic oceanographic parameters. The application of machine learning in this model enables the identification of non-linear relationships between environmental variables and fish distribution with high accuracy, representing a significant advancement in predictive habitat modelling for Indian mackerel in Indonesian waters. This approach contributes to sustainable fisheries resource management and aligns with the achievement of SDG 14 in Indonesia.
Spatial analysis of oceanographic anomaly parameters and the relationship to anchovy abundance in the western Banda Sea, Indonesia Alfira Yuniar, Mukti Zainuddin, Safruddin, Muzzneena Ahmad Mustapha, Rachmat Hidayat, et al. Bio Web of Conferences, 2025 This study analyzes the relationship between anomalies in oceanographic parameters—sea surface temperature (SST), chlorophyll-a, and sea surface height (SSH)—with anchovies ( Stolephorus spp.) abundance in the western of Banda Sea, Indonesia. MODIS satellite data was used to obtain information on oceanographic parameters during the period 2009–2021, which was analyzed spatially using ArcGIS software. The results showed that the SST anomaly experienced the most significant fluctuations, with positive peaks in June and October. A negative correlation was found between SST and anchovy catches, suggesting that this species tends to avoid areas with higher-than-normal surface temperatures. Meanwhile, although the statistical correlation between chlorophyll-a and SSH with catches is relatively low, spatial analysis indicates anchovies’ preference for areas with higher primary productivity and stable sea-surface conditions. This research reveals the importance of understanding regional oceanographic dynamics in supporting sustainable fisheries management, especially in the context of the influence of global climate variability such as ENSO on tropical marine ecosystems.
Impact of ENSO and IOD Climate Variability on the Dynamics of Bullet Tuna (Auxis rochei) Catches in the Banda Sea Siti Khadijah Srioktoviana, Mukti Zainuddin, Muzzneena Ahmad Mustapha, St. Aisjah Farhum, Rachmat Hidayat, et al. Bio Web of Conferences, 2025 The Banda Sea is a tropical marine region in Indonesia with complex oceanographic dynamics and high productivity, serving as a key habitat for pelagic fish such as bullet tuna ( Auxis rochei ). This study investigates the influence of large-scale climate variability, specifically the El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD), on bullet tuna catch dynamics in 2023. Monthly catch data and oceanographic parameters, including sea surface temperature, chlorophyll-a, and sea surface salinity, were analyzed. Anomalies were calculated using 2008– 2022 climatological data as a baseline. The results indicate that 2023 was influenced by a strong El Niño and positive IOD, significantly affecting ocean conditions. Positive Chl-a anomalies and slightly warmer SSTs in late 2023 were associated with increased catches in November and December. In contrast, negative anomalies in Chl-a and SST early in the year coincided with low catches. Chl-a showed a positive correlation with catch (r = 0.29), indicating the role of primary productivity, while SSS had a moderate negative correlation (r = -0.53), suggesting salinity sensitivity. This study highlights the importance of integrating climate variability into fisheries management and supports using ENSO–IOD indices as predictive tools for sustainable tuna fisheries in eastern Indonesia.
Characteristics of skipjack tuna fisheries using fad and non-fad methods: An important step for fisheries management in the gulf of bone and flores sea, indonesia Aacl Bioflux, 2021
Skipjack tuna (katsuwonus pelamis) catches in relation to chlorophyll-a front in bone gulf during the southeast monsoon Aacl Bioflux, 2019
Effects of environmental factors on anchovies stolephorus sp distribution in bone Gulf, Indonesia Aacl Bioflux, 2018
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Differences in the Impact of Extreme ENSO-IOD on Sea Surface Temperature (SST) Variability in Open and Semi-enclosed Water R Hidayat, M Zainuddin, Safruddin, ZD Istnaeni, SK Srioktoviana, ... IOP Conference Series: Earth and Environmental Science 1468 (1), 1 - 9 , 2025 2025 Citations: 1
ENSO and IOD Effects on Sea Surface Temperature and Chlorophyll-a in the SemiEnclosed Waters: Case Study of Bone Bay, Indonesia R Hidayat, M Zainuddin, Safruddin, SK Srioktoviana, A Yuniar, ... Egyptian Journal of Aquatic Biology & Fisheries 29 (2), 63 – 76 , 2025 2025
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Impact of ENSO and IOD Climate Variability on the Dynamics of Bullet Tuna (Auxis rochei) Catches in the Banda Sea SK Srioktoviana, M Zainuddin, MA Mustapha, SA Farhum, R Hidayat, ... BIO Web of Conferences 185, 07001 , 2025 2025
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Satellite-based ocean color and thermal signatures defining habitat hotspots and the movement pattern for commercial skipjack tuna in Indonesia Fisheries Management Area 713 … M Zainuddin, S Safruddin, A Farhum, B Budimawan, R Hidayat, ... Remote Sensing 15 (5), 1268 , 2023 2023 Citations: 35
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Mapping spatial-temporal skipjack tuna habitat as a reference for Fish Aggregating Devices (FADs) settings in Makassar Strait, Indonesia. R HIDAYAT, M ZAINUDDIN, A MALLAWA, MA MUSTAPHA, A PUTRI Biodiversitas: Journal of Biological Diversity 22 (9) , 2021 2021 Citations: 30
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Mapping potential fishing zones for skipjack tuna in the southern Makassar Strait, Indonesia, using Pelagic Habitat Index (PHI). S PUTRI, A RANI, MA MUSTAPHA, R HIDAYAT Biodiversitas: Journal of Biological Diversity 22 (7) , 2021 2021 Citations: 23
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The use of statistical models in identifying skipjack tuna habitat characteristics during the Southeast Monsoon in the Bone Gulf, Indonesia. R HIDAYAT, STA FARHUM, M ZAINUDDIN Biodiversitas: Journal of Biological Diversity 23 (4) , 2022 2022 Citations: 16
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Mapping distribution patterns of skipjack tuna during January-May in the Makassar Strait M Zainuddin, MI Amir, A Bone, SA Farhum, R Hidayat, ARS Putri, ... IOP Conference Series: Earth and Environmental Science 370 (1), 012004 , 2019 2019 Citations: 8
Seasonal changes of potential fishing ground formation for Skipjack Tuna in the Bone Gulf, Indonesia M Zainuddin, R Hidayat, A Rani Sahni Putri, M Ridwan, Safruddin, ... IOP Conference Series: Earth and Environmental Science 564 (1), 012083 , 2020 2020 Citations: 7
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