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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Journal of Marine and Aquatic Sciences BULETIN OSEANOGRAFI MARINA Jurnal Sosial Ekonomi Pertanian Jurnal Ilmu-Ilmu Perikanan dan Budidaya Perairan Naturalis : Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Jurnal Akuntabilitas Manajemen Pendidikan Jurnal Kelautan Tropis JURNAL ENGGANO JOIV : International Journal on Informatics Visualization MAJALAH ILMIAH GLOBE Jurnal Laut Khatulistiwa Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Samakia: Jurnal Ilmu Perikanan Techno-Fish JOURNAL OF INDONESIAN TROPICAL FISHERIES (JOINT-FISH) : Jurnal Akuakultur, Teknologi Dan Manajemen Perikanan Tangkap, Ilmu Kelautan Journal of Sylva Indonesiana Jurnal Laot Ilmu Kelautan TRIBUTE: JOURNAL OF COMMUNITY SERVICES Aptekmas : Jurnal Pengabdian Kepada Masyarakat Repong Damar: Jurnal Pengabdian Kehutanan dan Lingkungan Jurnal Kastara Journal of Aceh Aquatic Sciences Geosfera Indonesia
Ayub Sugara
Universitas Bengkulu
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BUDIDAYA BELUT DI LAHAN MINIMALIS DALAM UPAYA MENINGKATKAN MUTU GIZI KELUARGA DI KELURAHAN BERINGIN RAYA KECAMATAN MUARA BANGKAHULU KOTA BENGKULU Ayub Sugara, S.Kel., M.Si; Bustanuddin Lubis; Julia Purnama Sari; Nella Tri Agustini; Feri Nugroho
TRIBUTE: JOURNAL OF COMMUNITY SERVICES Vol. 7 No. 1 (2026)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/tribute.v7i1.48556

Abstract

Program pengabdian kepada masyarakat ini berjudul “Budidaya Belut di Lahan Minimalis dalam Upaya Meningkatkan Mutu Gizi Keluarga di Kelurahan Beringin Raya Kecamatan Muara Bangkahulu Kota Bengkulu.” Kegiatan ini dilatarbelakangi oleh Kebutuhan akan gizi keluarga, khususnya protein hewani, semakin meningkat seiring dengan kesadaran masyarakat tentang pentingnya pola makan sehat dan seimbang. Namun, tidak jarang pemenuhan gizi tersebut terkendala oleh keterbatasan ekonomi maupun akses terhadap bahan pangan bergizi. Selain itu keterbatasan lahan pekarangan di kawasan perkotaan serta kebutuhan masyarakat akan sumber pangan bergizi dan bernilai ekonomis. Belut (Monopterus albus) merupakan salah satu komoditas perikanan air tawar yang kaya protein, mudah dibudidayakan, dan memiliki prospek pasar yang menjanjikan. Rumusan masalah dalam program ini adalah: (1) bagaimana memanfaatkan lahan pekarangan yang sempit untuk usaha produktif, (2) bagaimana meningkatkan pemenuhan gizi keluarga melalui hasil budidaya belut, serta (3) bagaimana menumbuhkan kemandirian masyarakat dalam pengelolaan usaha kecil berbasis rumah tangga. Rencana kegiatan pengabdian masyarakat ini dilaksanakan pada 1 oktober – 15 november tahun 2025 di RT 04 RW 05 Kelurahan Beringin Raya Kota Bengkulu. Kegiatan beternak belut di pekarangan rumah tidak hanya memberikan solusi atas kebutuhan gizi keluarga, tetapi juga membuka peluang bagi masyarakat untuk memperoleh tambahan penghasilan. Oleh karena itu, melalui proposal ini diajukan program “Budidaya Belut Di Lahan Minimalis Dalam Upaya Meningkatkan Mutu Gizi Keluarga Di Kelurahan Beringin Raya Kecamatan Muara Bangkahulu Kota Bengkulu” sebagai salah satu upaya nyata dalam meningkatkan ketahanan pangan keluarga sekaligus pemberdayaan ekonomi rumah tangga.
IDENTIFIKASI JENIS-JENIS IKAN PELAGIS KECIL YANG ADA DI PASAR IKAN SEGAR PASAR BENGKULU Silvy Syukhriani; Zulkhasyni; Ayub Sugara; Ali Muqsit; Zerli Selvika; Firdha Iresta Wardani
Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Vol 23 No 2 (2025): Jurnal Agroqua
Publisher : University of Prof. Dr. Hazairin, SH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/ja.v23i2.5254

Abstract

Small pelagic fish are an important fish group with high economic value and play a key role in supporting fisheries production in Indonesia. However, data related to small pelagic fish remains limited, particularly in Bengkulu. One area with minimal documented fisheries data is Pasar Bengkulu. This study aims to identify the types of small pelagic fish found in the Pasar Bengkulu Fish Market. Data collection was carried out in June until Juli 2025 at Pasar Segar, Pasar Bengkulu. The method used in this study was descriptive exploration, which involved identifying the small pelagic fish sold in the Pasar Bengkulu Fresh Fish Market by analyzing and comparing their morphological characteristics based on fish identification references, including illustrations, photographs, and morphological descriptions. A total of eight fish species from eight genera and four families were recorded in the Pasar Bengkulu Fresh Fish Market. The most common small pelagic fish found was the weakfish, while the least common was kwee.
Estimasi Cadangan Karbon Mangrove Menggunakan Citra Sentinel-2A di Desa Banjarsari Pulau Enggano Sigit Widianto Firsta; Ayub Sugara; Ari Anggoro
Jurnal Kelautan Tropis Vol 28, No 3 (2025): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v28i3.29800

Abstract

Global climate change remains one of the major challenges of the 21st century, and mangrove ecosystems play a crucial role as blue carbon sinks, helping mitigate greenhouse gas emissions. However, data on mangrove carbon stocks in Indonesia’s outermost islands, such as Enggano Island, are still limited. This study aims to estimate the aboveground carbon stock of mangrove forests in Banjarsari Village, Enggano District, by integrating field measurements and Sentinel-2A imagery. Biomass was calculated using an allometric approach, while spatial carbon estimation was derived from the Normalized Difference Vegetation Index (NDVI). The results show that the mangrove area covers approximately 193,25 ha, dominated by dense vegetation (98%) with NDVI values ranging from −0.5 to 0.94. The dominant species were Rhizophora apiculata. The total above-ground carbon stock was estimated at 44,276.78 tons C. The regression between NDVI and carbon stock produced the equation y = 2.1402x − 185.36, with a coefficient of determination (R²) of 0.48 and an RMSE of 161,14 tons/ha. These findings demonstrate the significant carbon storage capacity of Enggano’s mangrove ecosystem and highlight its crucial role in supporting climate change mitigation and low-carbon development in Indonesia’s remote coastal regions. Perubahan iklim global menjadi tantangan utama abad ini, dan ekosistem mangrove berperan penting  sebagai penyerap karbon biru (blue carbon) yang efektif dalam menekan emisi gas rumah kaca. Namun, informasi mengenai stok karbon mangrove di wilayah kepulauan terluar Indonesia, seperti Pulau Enggano, masih sangat terbatas. Penelitian ini bertujuan mengestimasi cadangan karbon mangrove bagian atas di Desa Banjarsari, Kecamatan Enggano, melalui integrasi data lapangan dan citra Sentinel-2A. Biomassa dihitung menggunakan pendekatan alometrik, sedangkan estimasi spasial karbon diperoleh melalui analisis indeks vegetasi NDVI. Hasil penelitian menunjukkan bahwa luas ekosistem mangrove mencapai 193,25 ha dengan dominasi kerapatan rapat (98%) dan nilai NDVI berkisar antara −0,5 hingga 0,94. Spesies dominan yang ditemukan adalah Rhizophora apiculata. Total cadangan karbon diperkirakan mencapai 44.276,78 ton C. Hubungan antara NDVI dan stok karbon menunjukkan persamaan regresi y = 2,1402x − 185,36 dengan koefisien determinasi (R²) sebesar 0,48 dan RMSE 161,14 ton/ha. Hasil ini menegaskan bahwa ekosistem mangrove Enggano memiliki potensi besar sebagai penyerap karbon, sekaligus berkontribusi terhadap upaya mitigasi perubahan iklim dan kebijakan pembangunan rendah karbon di wilayah pesisir terpencil Indonesia.
Utilization of Unmanned Aerial Vehicle (UAV) Technology for Mapping Mangrove Ecosystem Ayub Sugara Ayub; Feri Nugroho; An Nisa Nurul Suci; Ari Anggoro
Journal of Sylva Indonesiana Vol. 4 No. 02 (2021): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6877.892 KB) | DOI: 10.32734/jsi.v4i02.6149

Abstract

Technological developments, especially in remote sensing in mangrove mapping are growing. One of them is the use of Unmanned Aerial Vehicle (UAV) as a vehicle for capturing aerial photo data. This study aims to map the mangrove ecosystem in order to find out spatial information with UAV technology and to identify mangrove species, distribution, and associations. The ground survey was conducted on 02 until 04 May 2019 in North of Lancang Island, Seribu Islands, DKI Jakarta Province. The mangrove data collection was carried out in four stations with marking, tracking the mangrove area and drone flights for taking aerial photo data. Based on the research, it was found that the mangroves were in good condition with an area of around 4 hectares, consisting of Rhizophora mucronata. However, there is a lot of waste around the mangrove ecosystem, especially inorganic waste in the form of plastic. Where the presence of garbage can cover the roots of the mangrove so that it can affect respiration and cause death in mangroves. The application of UAV technology that is integrated with GIS in mangrove ecosystem mapping is expected to be an alternative in extracting mangrove databases for future coastal ecosystem management.
Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology Ayub Sugara Ayub; Ari Anggoro; Agung Hasan Lukman; Ana Ariasari; An Nisa Nurul Suci; Nella Tri Agustini; Feri Nugroho; Ali Muhammad Muslih; Cindy Claudea Hanami; Rifi Zulhendri
Journal of Sylva Indonesiana Vol. 6 No. 02 (2023): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsi.v6i02.10515

Abstract

Mangroves, as one of the vegetation types that is a natural stronghold from coastal disasters, also function as a shelter and find food for various biota in coastal ecosystems. Therefore, protecting the mangrove ecosystem from degradation is very important. One effort that needs is ecosystem rehabilitation through mangrove planting in coastal environments. To support it, a design was devised using drones and remote-sensing vehicles to assist in making mangrove planting designs. This research was conducted in Jenggalu Estuary, Gading Cempaka District, Bengkulu City. This research aims to study the use of drones in mapping potential mangrove planting areas and designing a mangrove planting plan to rehabilitate coastal ecosystems. In mapping using drones, the height used was 80 meters with 80% overlap, and 2.87 hectares of potential mangrove planting area was obtained. Based on the research results, drones in mapping are very useful in calculating the area of potential mangrove planting areas and designing effective planting plans. There are four scenarios for planting mangroves with a spacing of 0.5 m, 1 m, 2 m, and 3 m, respectively. For a planting area of 2.87 ha, the number of seeds needed is 114,800 planting points for a distance of 0.5 m, 28,700 planting points for a distance of 1 m, 7,175 planting points for a distance of 2 m, and 3,189 planting points for a distance of 3 m
Mapping Mangrove Distribution in Muara Jenggalu, Bengkulu City Using Sentinel 2A-Imagery and OBIA Syafa Aisyah Putri; Ayub Sugara; Zamdial
Journal of Sylva Indonesiana Vol. 9 No. 02 (2026): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsi.v9i02.23158

Abstract

Mangroves are coastal ecosystems that play a vital role in maintaining coastal stability, providing habitat for diverse biota, and reducing the impacts of climate change. However, these ecosystems continue to face threats, including in Muara Jenggalu, Bengkulu City. This study aims to map the spatial distribution of mangroves using Sentinel-2A imagery with the Object-Based Image Analysis (OBIA) method, which employs SVM (Support Vector Machine) as a statistical technique for prediction and classification, while also examining the relationship between the vegetation index (NDVI) and mangrove canopy cover. The results indicate that the segmentation scale influences classification accuracy, with scale 3 achieving a high accuracy of 97.17% and a mangrove area of 41.01 ha. The classification segments the study area into four main classes: mangroves, non-mangrove vegetation, water bodies, and non-vegetation. NDVI values ranged from 0.12 to >0.35, with mangrove areas primarily in the medium to high vegetation category. Simple regression analysis revealed a significant positive relationship between canopy cover percentage and NDVI values. The information acquired from this research can be used as a basis for planning the conservation and sustainable management of coastal ecosystems.
Co-Authors Adityo Raynaldo Afriliani, Dia Agung H Lukman Agung H. Lukman Agung Hasan Lukman Agung Hasan Lukman Ahmad Ilan Aprianto Akbar Abdurrahman Mahfudz Akbar, Achmad Alfiqi Maulana Ali Muhammad Muslih Ali Muqsit Ali Muqsit Amelia Suryanita Ami Nolisa Amir Husaini Karim Amrullah Amirizal Ammar Habibi An Nisa N. Suci An Nisa Nurul Suci An Nisa Nurul Suci An Nisa Nurul Suci Ana Ariasari Andy Makhrian Anggraini, Selva Angraini, Noverina Aninda W. Rudiastuti Anitya Dwi Putri Anitya Dwi Putri Anna Farida Anna Farida Anugrah Mahesya, Andes Ari Anggoro Ari Anggoro Ari Anggoro Ari Anggoro Ari Anggoro Ashabul Anhar Assabillah, Muhammad Aulia, Ramadha Ayi Priana Ayub Sugara Anggini Fuji Astuti Boby Bagja Pratama Bustanuddin Lubis Cindy Claudea Hanami Citra Arum Sari Cut Meurah Nurul ‘Akla Dearti, Fitri Deddy Bakhtiar Deddy Bakhtiar, Deddy Delvia Novitasari Durrah Hayati Durrah Hayati Dwi Kurniawan, Bagas Erlangga Erniati Esty Kurniawati Etha Marista Fahrurrozi, Fahrurrozi Fakhirah Feri Nugroho Feri Nugroho Feri Nugroho Feri Nugroho Feri Nugroho Firdha Iresta Wardani Firdha Iresta Wardani Fitranita, Vika Haikal Fikri, Muhammad Hasidu, La Ode Abdul Fajar Hefni Effendi Ida Rosita Ilhami, Bq Tri Khairani Imamshadiqin, Imamshadiqin Imanullah Jarulis Jarulis Jufrise, Siska Julia Purnama Sari Julia Purnama Sari Julia Purnama Sari Julia Purnama Sari Juwandi, Dwidriandito Lola Adres Yanti Lubis, Bustanuddin Lubis, Bustanudin Makhrian, Andi Makhrian, Andy Margono, Setio Marissa Rahmania Maryam Jamilah Maryam Jamilah Mery Leyani, Etika Miftakhul Munir Mohammad Nur Dita Nugroho Moneka, Kostari Mudjiono Muhammad Alsy Perdana Muhammad F. Hidayat MUJIZAT KAWAROE Mukti Dono Wilopo Mulkan Nuzapril Nanda Putri, Lyra Nella Tri Agustini, Nella Tri NEVIATY PUTRI ZAMANI Nirawandi, Iwan Nugroho, Muhammad Nur Dita Nur Arief Putri, Viche Nur Audina Nur Lina Maratana Nabiu Nurmeiliasari Okta Asmaranti, Arini Pardede, Meri Kristina Pratama, Wahyunda Priyono Prawito Putri Amanda, Ericha Rahmi Yuristia Rangga Aditya, Muhammad Ria Ramadhani Dafitri Rifi Suhendri Rifi Zulhendri Rifi Zulhendri Riska Ayu Kurniati Risnita Tri Utami Robin Saputra Romiza, Naziha Rosi L. Vini Siregar Rudiastuti, Aninda Wisaksanti Safaat, Muhammad Saiful Adhar Samsul Bahri septa, nickyastria Shofiyah, Sofi Siti Sigit Widianto Firsta Silvy Syukhriani Siti Nur Azizah, Siti Suryanita, Amelia Susanto, Jefri Syafa Aisyah Putri Syamsul B. Agus Syamsul Bahri Agus, Syamsul Bahri Syaputra, Andika Charles Tanzul, Muhammad Tarisa Teddy Triandiza Tuti Arlita Tuti Arlita Ulfa Hansri Ar Rasydi Ulfa Hansri Ar Rasyid Ulfah Anis Ully Wulandari, Ully Vincentius P Siregar Wica Elvina Win Syaputra, Edo Wulandari, Diah Anggraini Yola Wulandari, Yola Yudho Andika Yudho Andika Yulfiperius, Yulfiperius Yurike Yurike Yuriz Silviani, Nandini Zamdial Zamdial Zamdial Zamdial Zerli Selvika Zibar, Zan Zulkhasyni