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All Journal Jurnal Ilmu Kelautan Spermonde JFMR (Journal of Fisheries and Marine Research) Acta Aquatica: Aquatic Sciences Journal
Marsela, Kristina
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Engineering Environmental Science Materials Science & Nanotechnology Other

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Distribusi dan Komposisi Spesies Lobster (Panulirus spp.) yang Tertangkap di Perairan Sumatra Barat dan Pulau Tello, Sumatra Utara, Indonesia: Distribution and Species Composition of Lobsters (Panulirus spp.) Caught in the Waters of West Sumatra and Tello Island, North Sumatra, Indonesia Setyanto, Arief; Asmirijal, Amrey Syahnur; Wiadnya, Dewa Gede Raka; Isdianto, Andik; Caesar, Nico Rahman; Irwan Jatmiko; Utama, Andria Ansri; Agus Tumulyadi; Bintoro, Gatut; Lelono, Tri Djoko; Sutjipto, Darmawan Ockto; Hadiyah, Lisa Nur; Marsela, Kristina; Dhea, Luthfia Ayu; Asadi, M. Arif
JFMR (Journal of Fisheries and Marine Research) Vol. 9 No. 2 (2025): JFMR on July
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2025.009.02.9

Abstract

Perairan Samudra Hindia Timur memiliki keanekaragaman lobster yang tinggi, di mana Indonesia menjadi habitat bagi 6 dari 19 spesies Panulirus yang ada di dunia. Wilayah barat Pulau Sumatra, yang termasuk dalam kawasan ini, memiliki potensi besar dalam perikanan lobster. Penelitian ini bertujuan untuk mengkaji komposisi spesies, distribusi panjang karapas dan berat lobster beserta pola pertumbuhannya, serta menilai kesesuaian hasil tangkapan dengan ketentuan PERMEN KP No. 16 Tahun 2022 di perairan Sumatra Barat dan Pulau Tello, Sumatra Utara. Analisis yang digunakan meliputi identifikasi spesies, komposisi, distribusi frekuensi, chi-square, ANOVA satu arah, dan regresi. Hasil menunjukkan bahwa di perairan Sumatra Barat ditemukan enam spesies lobster, dengan Panulirus homarus (lobster pasir) sebagai spesies dominan, sedangkan di Pulau Tello ditemukan empat spesies, dengan dominasi P. versicolor (lobster bambu). Distribusi panjang karapas tertinggi di Sumatra Barat terdapat pada kisaran 8–9 cm (442 ekor), dan berat pada 220–360 gram (529 ekor), dengan pola pertumbuhan alometrik negatif. Di Pulau Tello, panjang karapas terbanyak berada pada kisaran 12–13 cm (30 ekor), dan berat pada 500–640 gram (25 ekor), juga menunjukkan pertumbuhan alometrik negatif. Seluruh komposisi lobster yang tertangkap di kedua lokasi dinilai layak tangkap berdasarkan ketentuan regulasi yang berlaku.   The East Indian Ocean holds significant potential for lobster diversity, and Indonesia is home to 6 of the 19 Panulirus species found globally. West Sumatra, located within this region, has promising lobster resources. This study aimed to assess species composition, carapace length and weight distribution, growth patterns, and compliance with fishing regulations (PERMEN-KP No. 16/2022) in the waters of West Sumatra and Tello Island, North Sumatra. Analytical methods included species identification, composition analysis, frequency distribution, chi-square testing, one-way ANOVA, and regression analysis. Findings revealed that six lobster species were identified in West Sumatra, dominated by scalloped spiny lobster (P. homarus), while four species were found on Tello Island, with painted spiny lobster (P. versicolor) being most abundant. In West Sumatra, the dominant carapace length class was 8–9 cm (442 individuals), and the most common weight class was 220–360 g (529 individuals), both exhibiting a negative allometric growth pattern. Meanwhile, Tello Island lobsters showed a dominant carapace length of 12–13 cm (30 individuals) and weight range of 500–640 g (25 individuals), also with negative allometric growth. Overall, the lobster catch composition from both locations was found to comply with the sustainable capture guidelines outlined in PERMEN-KP No. 16/2022.
Evaluation of Jatigede Reservoir water quality parameters to support fisheries ecosystems Marsela, Kristina; Dhea, Luthfia Ayu; Hidayah, Lisa Nur; Adhihapsari, Wirastika; Aida, Gilang Rusrita
Acta Aquatica: Aquatic Sciences Journal Acta Aquatica, Vol. 12: No. 2 (August, 2025)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v12i2.20834

Abstract

Jatigede Reservoir is one of the multi-functional reservoirs located in Sumedang Regency, West Java, Indonesia. The utilization of Jatigede Reservoir by the community caused ecological pressures that have resulted in a decrease in water quality and fisheries sustainability. The purpose of this study was to evaluate water quality parameters in Jatigede Reservoir to support a sustainable fisheries ecosystem. Sampling was done using purposive sampling and analysis using comparative descriptive. The results showed that the water temperature ranged from 26-29oC, pH 7.9-8.4, and dissolved oxygen 4-5.3 mg/L which still supports fisheries activities. The parameters of light transparency ranged from 0.19-1.1 m, total phosphorus 0.047 - 0.161, and chlorophyll-a 11 - 116 mg/m3 which exceeded the established quality standards. So it is necessary to manage and control pollution in Jatigede Reservoir to improve water quality and support the sustainability of the fisheries ecosystem. Keywords: Fisheries Ecosystem; Jatigede Reservoir; Water Quality
SPATIAL MAPPING OF CORAL REEF DISTRIBUTION IN KARIMUNJAWA ISLAND USING LYZENGA ALGORITHM Hidayat, Esa Fajar; Hanafi, Faisal; Purwanto, Hery; Noraini, Alifah; Marsela, Kristina; Dewi, Atika Kumala; Lubis, Muhammad Zainudin
Jurnal Ilmu Kelautan SPERMONDE VOLUME 11 NUMBER 1, 2025
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35911/jiks.v11i1.44241

Abstract

Coastal areas have high ecosystem productivity and are characterized by abundant fish species and coral reefs. However, these ecosystems are vulnerable to environmental pressures caused by human activities and natural dynamics. Coral reefs, consisting of organisms from the class Anthozoa within the order Scleractinia, which produce calcium carbonate structures, are key indicators of coastal ecosystem health. Coral reefs share biological characteristics with soft corals, hydras, and sea anemones as part of the phylum Cnidaria. Their existence is highly sensitive to environmental changes, whether natural or anthropogenic. In Indonesia, coral reef conditions have experienced significant degradation, with 36.18% in the damaged condition, only 6.56% categorized as very good, and 22.96% as good. The remaining 34.3% fall under the poor category, particularly around Karimunjawa and Kemujan Islands. Accurate data-based monitoring and management are essential for conserving these ecosystems. One method used to map and analyze coral reef distribution is the Lyzenga algorithm, which can distinguish shallow-water characteristics from coral reef habitats using satellite imagery. In this study, the Lyzenga algorithm was applied to SPOT 6 imagery for the Karimunjawa and Kemujan regions, covering an area of 8.46 km². The results showed that live coral reefs cover approximately 46% of the area, while dead coral reefs account for 56%, indicating a level of degradation that requires further attention in conservation and ecosystem recovery strategies. This study highlights the critical state of coral reefs in Indonesia, particularly in the Karimunjawa and Kemujan regions, emphasizing the necessity for conservation efforts driven by precise monitoring techniques such as the Lyzenga algorithm.
Peramalan Produksi Ikan Hasil Tangkapan di Pelabuhan Perikanan Pantai Bulu Tuban Dengan Menggunakan Metode Sarima: Forecasting of Fish Catch Production at Bulu Tuban Fishing Port Using the Sarima Method Hidayah, Lisa Nur; Fuad; Marsela, Kristina
JFMR-Journal of Fisheries and Marine Research Vol. 10 No. 1 (2026): JFMR on March
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2026.010.01.8

Abstract

Produksi ikan hasil tangkapan yang didaratkan di Pelabuhan Perikanan Pantai (PPP) Bulu Tuban menunjukkan fluktuasi bulanan dengan pola musiman yang jelas, sehingga diperlukan pendekatan peramalan yang mampu merepresentasikan dinamika tersebut. Penelitian ini bertujuan mengidentifikasi pola deret waktu produksi ikan bulanan di PPP Bulu Tuban dan membangun model peramalan menggunakan Seasonal Autoregressive Integrated Moving Average (SARIMA). Data yang digunakan berupa data sekunder produksi ikan bulanan periode Januari 2019–Desember 2024 sebanyak 72 observasi. Pemodelan dilakukan mengikuti prosedur Box–Jenkins melalui visualisasi deret waktu, differencing non-musiman dan musiman , identifikasi kandidat model berdasarkan ACF dan PACF, serta estimasi dan seleksi model. Kinerja model dievaluasi menggunakan Bayesian Information Criterion (BIC), Root Mean Square Error (RMSE), dan Mean Absolute Percentage Error (MAPE), sedangkan diagnostik residual diuji dengan Ljung–Box. Hasil menunjukkan bahwa SARIMA merupakan model terbaik dengan BIC 10,797, RMSE 199,346, MAPE 207,607, dan residual yang memenuhi asumsi white noise . Model ini mampu merepresentasikan pola historis dan komponen musiman data, namun karena nilai MAPE masih tinggi, hasil peramalan lebih tepat diposisikan sebagai proyeksi pola umum produksi untuk tahun 2025 daripada prediksi numerik presisi tinggi pada setiap bulan.   Fish catch production landed at Bulu Tuban Fishing Port exhibits monthly fluctuations with a clear seasonal pattern, indicating the need for a forecasting approach capable of representing such dynamics. This study aimed to identify the monthly time-series pattern of fish production at Bulu Tuban Fishing Port and to develop a forecasting model using the Seasonal Autoregressive Integrated Moving Average (SARIMA) approach. The analysis used secondary monthly fish production data from January 2019 to December 2024, comprising 72 observations. Modeling followed the Box–Jenkins procedure through time-series visualization, non-seasonal differencing, seasonal differencing, identification of candidate models based on ACF and PACF, and model estimation and selection. Model performance was evaluated using the Bayesian Information Criterion (BIC), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), while residual adequacy was assessed using the Ljung–Box test. The results show that SARIMA was the best model, with a BIC of 10.797, RMSE of 199.346, MAPE of 207.607, and residuals satisfying the white-noise assumption . The model was able to represent the historical and seasonal structure of the data; however, given the relatively high MAPE, the forecast should be interpreted more cautiously as a projection of general production patterns for 2025 rather than a high-precision monthly numerical prediction.
Co-Authors Agus Tumulyadi Alifah Noraini Andik Isdianto Arief Setyanto Asadi, M. Arif Asmirijal, Amrey Syahnur Atika Kumala Dewi, Atika Kumala Darmawan Ockto Sutjipto Dewa Gede Raka Wiadnya Dhea, Luthfia Ayu Fuad Gatut Bintoro Gilang Rusrita Aida Hadiyah, Lisa Nur Hanafi, Faisal Hery Purwanto Hidayah, Lisa Nur Hidayat, Esa Fajar Irwan Jatmiko Lubis, Muhammad Zainudin Nico Rahman Caesar Tri Djoko Lelono Utama, Andria Ansri Wirastika Adhihapsari