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Analisis Perikanan Kembung di Pelabuhan Perikanan Pantai Lempasing Menggunakan Model Walter-Hilborn Rosalia, Ayang Armelita; Minsaris, La Ode Alam; Tirtana, Denta; Ahmad, Kiffah Kayyisah; Afiyah, Novia Nurul
Jurnal Sains dan Teknologi Perikanan Vol 4 No 1 (2024): APRIL
Publisher : Fisheries Science Study Program, Faculty of Science and Technology, Muhammadiyah University of Sidenreng Rappang.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/jikan.v4i1.1608

Pelabuhan Perikanan Pantai atau PPP Lempasing yang berada di Kecamatan Telukbetung Timur merupakan kecamatan di Bandar Lampung yang memiliki 6 pantai, dimana sebagian warga berprofesi menjadi nelayan. Salah satu kegiatan yang berlangsung di pelabuhan perikanan tentunya tidak lepas dari pengelolaan hasil tangkapan. Salah satu komoditas unggulan di PPP Lempasing adalah ikan kembung (Rastrelliger spp). Alat bantu yang digunakan dalam menangkap ikan kembung adalah mini purse seine yang dioperasikan menggunakan cahaya, bagan perahu, gill net dan payang atau jaring insang. Namun terjadi penurunan hasil tangkapan yang dialami oleh nelayan pada ikan kembung. Hasil penelitian menggunakan model analisis Walter-Hilborn menunjukan persentase penangkapan perikanan kembung telah mencapai 191% yang dikategorikan sebagai over-exploited dimana diperlukan upaya pelestarian terhadap komoditas kembung.

ESTIMASI STOK KARBON TERSIMPAN PADA HUTAN MANGROVE DI PALUH KURAU, DELI SERDANG Maulana, Pardip; Arifin, Wildan Aprizal; Minsaris, La Ode Alam
Journal of Scientech Research and Development Vol 5 No 2 (2023): JSRD, December 2023
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v5i2.254

Hutan mangrove merupakan ekosistem penting di lokasi pesisir yang menyediakan fungsi ekologi dan ekonomi yang penting. Hutan mangrove menyediakan fungsi penyerap karbon dengan menyerap CO2 dari atmosfer melalui fotosintesis dan penyimpanan karbon pada sedimen. Karbon yang tersimpan dalam lumpur bakau akan bertahan selama ribuan tahun sebelum kembali ke atmosfer dan bertindak sebagai penyerap karbon jangka panjang. Oleh karena itu, penting untuk memahami distribusi karbon yang tersimpan di dalam ekosistem mangrove secara spasial dan temporal. Penelitian ini memaparkan upaya pemetaan stok karbon di hutan mangrove dengan menggunakan teknologi penginderaan jauh. Penggunaan Landsat 9 OLI resolusi spasial menengah digunakan untuk pemetaan stok karbon mangrove. Dengan menggunakan data Penginderaan Jauh, teknik pengolahan citra Normalized Difference Vegetation Index (NDVI) digunakan untuk menentukan strategi optimal dalam menjelaskan varians stok karbon mangrove. Selain itu, penelitian ini mencoba mengukur laju penyerapan karbon mangrove dengan menggunakan analisis multitemporal. Terakhir, peta stok karbon disajikan dengan menunjukan simpanan karbon sebesar 136.192,12ton dengan koefisien determinasi persamaan linear sebesar 0,839.

PEMETAAN DISTRIBUSI PEMASARAN HASIL TANGKAPAN IKAN PPN KARANGANTU (STUDI KASUS KAPAL BAGAN PERAHU) Ardiana; Ayang Armelita Rosalia; La Ode Alam Minsaris
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 1 (2024): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i1.790

The Karangantu Archipelagic Fisheries Port, commonly referred to as PPN Karangantu, provides a venue for business activities in the field of fisheries. These business activities are carried out by the fishermen of the Boat Lift Net. The Boat Lift Net captures small pelagic fish, and the catch is distributed by the fishermen of the Boat Lift Net at PPN Karangantu to fish traders outside the Karangantu location. This expands the distribution of the marketing of the catch from PPN Karangantu, as it is not only marketed at the Karangantu Fish Auction (TPI Karangantu). Therefore, the objective of this research is to illustrate the map of the distribution locations of the marketing of the catch from the Boat Lift Net landed at PPN Karangantu. Subsequently, it aims to identify the distribution channels for the marketing of the catch from Boat Lift Net at PPN Karangantu. To achieve these objectives, this research uses a qualitative descriptive approach and Geographic Information System (GIS) with remote sensing methods. As a result, it is found that PPN Karangantu has 4 distribution channels and there are 11 distribution locations for the marketing of the catch from the Boat Lift Net

Penerapan Sistem Rantai Dingin Usaha Kecil Menengah (UKM) Pada Produksi Jamur Merang Ma’ruf; Eryawan, Billal Soebhii; La Ode Alam Minsaris; Ajo Sutarjo; Encep Supriatna; Susilawati; Deni Wardana; Luthfy Rachman
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 3 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i3.1726

Di tengah era globalisasi saat ini, peran sektor usaha kecil menengah (UKM) menjadi sangat penting dalam mendukung ekonomi lokal dan berkontribusi pada peningkatan kesejahteraan masyarakat. program pengabdian ini bertujuan untuk menerapkan sistem rantai dingin untuk menjaga kualitas produk jamur merang dibagi menjadi beberapa tahapan yaitu, Sosialiasi program, Pendataan stakeholder dalam sistem, Perjalinan kerja sama pihak terkait, Perancangan Sistem, Pilot proyek, evaluasi awal, perbaikan berkelanjutan berdasarkan insight yang didapat. Pengabdian kepada masyarakat di Desa Jruek Bak Kreh, Aceh Besar, membuktikan bahwa penerapan sistem rantai dingin pada produksi jamur merang memiliki dampak positif terhadap kualitas produk dan efisiensi rantai pasok. Kemasan yang baik dan strategi penyimpanan yang tepat menjadi solusi untuk mengatasi tantangan kerusakan produk. Flowchart sistem rantai dingin yang terintegrasi memberikan panduan praktis bagi pelaku usaha dan mendukung keberlanjutan produksi jamur merang.

REKRUITMEN KARANG KERAS DI PULAU TUNDA Minsaris La Ode Alam; Himawan Prasetyo; Syifa Fajar Maulani; Cakra Rahardjo; Mohammad Raqief Farasara Arifin
Jurnal Perikanan Unram Vol 13 No 2 (2023): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v13i2.428

Perairan Pulau Tunda merupakan salah satu destinasi wisata bahari karena memiliki keindahan pantai dan biota bawah laut khususnya terumbu karang. Upaya mengetahui secara mendalam mengenai kondisi terumbu karang perlu dilakukan pengamatan rekruitmen karang. Rekrutmen terumbu karang adalah proses penambahan individu karang dan menjadi indikasi adanya proses pemulihan alami komunitas karang, sehingga menjadi dasar dalam upaya menjaga kelestarian terumbu karang misalnya seperti konservasi atau pemanfaatan bertanggung jawab. Penelitian ini bertujuan untuk mengetahui rekruitmen terumbu karang di Pulau Tunda. Pengambilan sampel rekruitmen terumbu karang menggunakan metode Belt Transeck. Parameter yang diamati dalam penelitian ini adalah tutupan karang hidup, bentuk pertumbuhan karang, dan kepadatan rekrutmen. Hasil pengamatan persen tutupan karang hidup paling rendah di stasiun 4 yaitu 2,31% dan paling tinggi terdapat di stasiun 2 yaitu 41,23%. Terdapat tujuh jenis bentuk bertumbuhan anakan karang (rekruitmen karang) yaitu Acropora branching, Acropora encrusting, Coral massive, Coral branching, Acropora tabulate, Coral foliose, dan Acropora Submasive. Pengamatan terhadap kepadatan rekruitmen karang menunjukan bahwa kepadatan tertinggi terdapat di stasiun 2 (dua) dengan nilai 0,24 koloni/m2 dan kepadatan terendah terdapat di stasiun 4 (empat) dengan nilai 0,05 koloni/m2. Bentuk pertumbuhan yang dijumpai pada semua stasiun dan memiliki koloni anakan karang paling tinggi adalah bentuk pertumbuhan coral massive.

Coral Reef Status after the 2018 Sunda Strait Tsunami Using the CPCe Program: A Case Study of Tanjung Lesung Banten Anzani, Luthfi; Minsaris, La Ode Alam; Wilujeung, Alya Dina; Rahardjo, Cakra; Hasidu, La Ode Fajar; Nugroho, Fajar
Jurnal Perikanan dan Kelautan Vol. 28 No. 1 (2023): February
Publisher : Faculty of Fisheries and Marine, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Tsunami that swept the Tanjung Lesung coast in 2018 caused Anak Krakatau to collapse in Sunda Strait which hit the coastal areas of Banten and Lampung. Tanjung Lesung is one of the worst areas affected. Tsunami in Tanjung Lesung has taken lives, damaged infrastructure, and caused terrible natural damage. One of the damages affecting residents' lives in the Tanjung Lesung coastal community is exposure to the marine ecosystem. The main ecosystem that has the highest productivity level is the coral reef. Coral biota is the main benthic biota of reefs that are directly affected by earthquakes and tsunamis. However, until now there has been no data on the status of coral reefs after the 2018 Sunda Strait tsunami. Therefore, researchers feel the urgency of this research is high enough to determine the condition of coral reefs after the Sunda Strait tsunami in Tanjung Lesung. There are 3 research stations for data collection before the tsunami, and we conduct research in those 3 stations again after the tsunami. Then we added 3 research stations again, so there are 6 research stations. Observation of coral reefs uses the Line Intercept Transect (LIT) method. The line transect is made by stretching a roll meter with a scale parallel to the coastline along 25 meters with three replications with an interval of about 0-5 meters between replications so the total observed transect was 75 meters. The deterioration of coral reef conditions at three research stations (1-3) proved that the tsunami waves affected the damage to coral reefs. This has an impact on the diversity of coral reef species inhabitants that have decreased. Disturbance form coral-damaged structure and composition changes of the base substrate as habitat can have an impact on reef fish and coral reef inhabitants. So that this research is expected to be a reference for policymakers in determining rehabilitation steps for areas affected by the 2018 Sunda Strait tsunami.

Coral Reef Status after the 2018 Sunda Strait Tsunami Using the CPCe Program: A Case Study of Tanjung Lesung Banten Anzani, Luthfi; Minsaris, La Ode Alam; Wilujeung, Alya Dina; Rahardjo, Cakra; Hasidu, La Ode Fajar; Nugroho, Fajar
Jurnal Perikanan dan Kelautan Vol. 28 No. 1 (2023): February
Publisher : Faculty of Fisheries and Marine, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Tsunami that swept the Tanjung Lesung coast in 2018 caused Anak Krakatau to collapse in Sunda Strait which hit the coastal areas of Banten and Lampung. Tanjung Lesung is one of the worst areas affected. Tsunami in Tanjung Lesung has taken lives, damaged infrastructure, and caused terrible natural damage. One of the damages affecting residents' lives in the Tanjung Lesung coastal community is exposure to the marine ecosystem. The main ecosystem that has the highest productivity level is the coral reef. Coral biota is the main benthic biota of reefs that are directly affected by earthquakes and tsunamis. However, until now there has been no data on the status of coral reefs after the 2018 Sunda Strait tsunami. Therefore, researchers feel the urgency of this research is high enough to determine the condition of coral reefs after the Sunda Strait tsunami in Tanjung Lesung. There are 3 research stations for data collection before the tsunami, and we conduct research in those 3 stations again after the tsunami. Then we added 3 research stations again, so there are 6 research stations. Observation of coral reefs uses the Line Intercept Transect (LIT) method. The line transect is made by stretching a roll meter with a scale parallel to the coastline along 25 meters with three replications with an interval of about 0-5 meters between replications so the total observed transect was 75 meters. The deterioration of coral reef conditions at three research stations (1-3) proved that the tsunami waves affected the damage to coral reefs. This has an impact on the diversity of coral reef species inhabitants that have decreased. Disturbance form coral-damaged structure and composition changes of the base substrate as habitat can have an impact on reef fish and coral reef inhabitants. So that this research is expected to be a reference for policymakers in determining rehabilitation steps for areas affected by the 2018 Sunda Strait tsunami.

Comparison of Natural and Artificial Reefs and Their Relationship with the Abundance of Chaetodontidae Indicator Fish in Sental Nusa Penida, Bali Barkah, Reza Fahrizal; Anzani, Luthfi; Minsaris, La Ode Alam
Zona Laut : Jurnal Inovasi Sains Dan Teknologi Kelautan Volume 6, Number 1, March 2025 Edition
Publisher : Departemen Teknik Kelautan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/zl.v6i1.42552

Coral reefs are vital ecosystems that support marine biodiversity but face increasing threats from human activities and climate change. Artificial reefs (ARs) are proposed as a mitigation strategy to replicate the functions of natural reefs (NRs). This study compares the effectiveness of ARs and NRs in supporting the abundance of Chaetodontidae indicator fish in Sental Village, Nusa Penida. A quantitative approach was applied using the Underwater Photo Transect (UPT) method to analyze coral cover and the Underwater Visual Census (UVC) to measure Chaetodontidae abundance. Data were collected from ARs, NRs, and Rubble Fields (RFs), representing degraded reef areas. The results showed that ARs had the highest coral cover (36%), followed by NRs (32%) and RFs (5%). Moderate species diversity was observed in ARs (H' = 1,210) and NRs (H' = 0,970), while RFs exhibited low diversity (H' = 0.702) and high dominance (C = 0.726). ARs supported the highest Chaetodontidae abundance (0.34–0.57 ind/m²), indicating healthier coral conditions compared to NRs and RFs. Regression analysis revealed a strong positive relationship between coral cover and Chaetodontidae abundance, with a determination coefficient of R² = 0.9932. The study concluded that ARs effectively support biodiversity and Chaetodontidae abundance, although they do not fully replicate the ecological complexity of NRs. Chaetodon kleinii was identified as the dominant species across all reef types due to its high ecological flexibility. These findings underscore the importance of ARs in coral reef restoration and conservation efforts to maintain marine biodiversity.

Analisis Distribusi Biomassa Pada Vegetasi Mangrove Menggunakan Metode Spatial Interpolation Di Nusa Lembongan, Bali Rahimah, Fariha; La Ode Alam Minsaris; Widiyanto, Kukuh
Zona Laut : Jurnal Inovasi Sains Dan Teknologi Kelautan Volume 6, Number 1, March 2025 Edition
Publisher : Departemen Teknik Kelautan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/zl.v6i1.42637

Mangroves are coastal ecosystems that have an important role in maintaining the balance of the coastal environment and are effective carbon absorbers which have an important role in climate regulation. The effects of global warming can be reduced through the absorption of organic carbon from photosynthesis and stored in woody biomass, such as standing mangrove trees. Biomass distribution analysis in mangrove vegetation is needed to understand the condition and distribution of mangrove vegetation in more depth and to reflect the productivity and health of the ecosystem. Nusa Lembongan Bali has the potential and utilization of mangrove ecosystems which have potential flora and fauna that need to be preserved. Method spatial interpolation is an effective approach in analyzing biomass distribution because it is able to overcome the limitations of sample data in large forest areas using deterministic techniques Inverse Distance Weighted (IDW). This research aims to analyze the distribution of mangrove vegetation biomass and assess the level of accuracy of the method spatial interpolation in producing a distribution map of mangrove biomass in Nusa Lembongan, Bali. There are 4 types of mangroves found in Nusa Lembongan that are affordable for research, including: Rhizophora apiculata, Xylocarpus granatum, Bruguiera gymnorrhiza And Sonneratia alba, with 90% having a sandy mud substrate. Nusa Lembongan has good biomass distribution as shown by the mangrove vegetation biomass distribution map which shows a dominant color of green to yellow with an average biomass value of 200 Mg/ha to 300 Mg/ha. The results of the correlation calculation have a significant correlation accuracy value with a value of rCount 0.997 > rTable 0.273 which is shown through the results of correlation calculations that support the results of biomass distribution in mangrove vegetation on Nusa Lembongan Island, Bali.

Perbandingan Model Prediksi Suhu Permukaan Laut Menggunakan Smoothing dan Long Short-Term Memory Arsanti, Yulia; Minsaris, La Ode Alam; Arifin, Wildan Aprizal
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2113

Sebagai negara kepulauan terbesar, Indonesia memiliki kekayaan maritim melimpah, termasuk Perairan Merak Banten, yang memiliki peran strategis dalam transportasi laut, perikanan, dan industri. Suhu permukaan laut (SPL) di wilayah ini memengaruhi ekosistem laut, produktivitas perikanan, serta perekonomian masyarakat. Penelitian sebelumnya umumnya menggunakan pendekatan statistik konvensional atau machine learning secara terpisah dalam memprediksi SPL, sehingga belum ada perbandingan langsung antara metode deep learning dan metode statistik dalam satu studi, sementara pengukuran SPL secara konvensional masih memiliki keterbatasan secara spasial dan temporal. Penelitian ini membandingkan performa model prediksi SPL dengan pendekatan deep learning menggunakan Long Short-Term Memory dan metode statistik smoothing eksponensial, yang belum diterapkan secara bersamaan dalam analisis SPL di Perairan Merak, Banten. Studi ini mengisi kesenjangan penelitian sebelumnya dengan mengevaluasi efektivitas kedua metode dalam memprediksi SPL. Data penelitian diperoleh dari citra satelit Aqua MODIS, yang memungkinkan analisis spasial lebih representatif. Dengan demikian, integrasi teknologi penginderaan jauh dan metode machine learning dalam model prediksi SPL diperlukan untuk meningkatkan akurasi dan efisiensi prediksi. Hasil penelitian menunjukkan bahwa model LSTM dengan parameter look_back 7 dan epoch 200 memberikan performa terbaik dengan nilai MAE 0,3798 dan RMSE 0,8970, sehingga lebih unggul dalam memprediksi pola jangka panjang. Sementara itu, smoothing eksponensial dengan damped trend True dan look_back 7 menghasilkan MAE 0,9052 dan RMSE 1,6771, lebih efektif untuk prediksi jangka pendek. Temuan ini menegaskan bahwa LSTM lebih akurat dalam menganalisis tren SPL jangka panjang, sedangkan smoothing eksponensial lebih sesuai untuk prediksi jangka pendek yang stabil, memberikan wawasan baru dalam pemilihan model prediksi SPL di perairan merak, Banten.

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