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All Journal Jurnal Teknologi Perikanan dan Kelautan ILMU KELAUTAN: Indonesian Journal of Marine Sciences Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal POINTER Jurnal Kelautan Tropis Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JFMR (Journal of Fisheries and Marine Research) Jurnal Penelitian Perikanan Indonesia Bawal : Widya Riset Perikanan Tangkap Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JAST : Jurnal Aplikasi Sains dan Teknologi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Journal of Fisheries & Marine Jurnal Penelitian Teknik Sipil Konsolidasi Journal of Aquaculture Science Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika
Muh. Arif Rahman
Brawijaya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Other

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STATUS STOK BELANGKAS PADI (CARCINOSCORPIUS ROTUNDICAUDA) DI PERAIRAN KOTABARU, KALIMANTAN SELATAN, INDONESIA Yogho Faiz Riadha; Ledhyane Ika Harlyan; Muhammad Arif Rahman; Feni Iranawati; Alvina Maharani; Dewa Gede Raka Wiadnya
BAWAL Widya Riset Perikanan Tangkap Vol 18, No 1 (2026): April 2026
Publisher : Politeknik Kelautan dan Perikanan Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/bawal.18.1.2026.13-22

Abstract

Small-scale shrimp fisheries in Kotabaru Regency, South Kalimantan, not only serve as a vital source of local economic support but also pose potential threats to the sustainability of non-target species caught as bycatch, including the mangrove horseshoe crab (Carcinoscorpius rotundicauda), which is protected in Indonesia. This study aimed to assess the stock status of Carcinoscorpius rotundicauda captured as bycatch in local shrimp fisheries. Data was collected from January to March 2025, with a total of 125 individuals. Results indicated that Carcinoscorpius rotundicauda exhibited a negative allometric growth pattern. The length at first capture ( ) was found to be lower than the length at first maturity ( ). Specifically, was 11.85 cm for trammel nets and 13.52 cm for crab gillnets, while  was 17.59 cm, suggesting that most individuals caught as bycatch had not yet reached gonadal maturity. This condition reflects fishing pressure on the population. Using the Length-Based Spawning Potential Ratio (LB-SPR) method to assess stock status of mangrove horseshoe crab that indicating overexploited (SPR<20). These findings highlight the urgent need for sustainable fisheries management, including regulations on fishing gear and protection measures for bycatch species such as Carcinoscorpius rotundicauda in Kotabaru waters.
Leading Condition Of Small Pelagic Resources Based On Data In The State Fisheries Management Area Of The Republic Of Indonesia (Wppnri) 712 And 573 Year 1990 - 2017 East Java Province For Sustainable Management Tri Djoko Lelono; Muhammad Arif Rahman; Gatut Bintoro; Nita Hellis Setyowati; Nindi Nur Wulandari
Journal of Aquaculture Science Vol 6 No 1IS (1): Vol 6 Issue Spesial 2021 Journal of Aquaculture Science
Publisher : Airlangga University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31093/joas.v6i1IS.159

Abstract

Pelagic fish resources have a very important role in regional economic development. The assumption that fish resources are common property so that everyone is free to catch (open access) is a problem with overfishing in East Java waters. The purpose of this study is to determine the superior commodity of small pelagic fish, the status of exploitation of superior  fish resources and to compile a scenario of sustainable management of superior resources. The method in this research is quantitative descriptive method with data analysis used including Location Quotient (LQ), Schaefer (1954), Fox (1970), Walter Hilborn, and programming STELLA (System Thinking, Experimental Learning Laboratory with Animation). The research result of the superior species in the province in the south of East Java) is sardin, while the superior fish in the regency is s Rainbow runner. The status of fisheries at the level of superior fisheries exploitation in South East Java, the level of exploitation of ssrdin fish is 240% with the status of Depleted. Finally, the level of exploitation for s Rainbow runner fish is 689%, which means that they are included in depleted. The scenario of sustainable management of pelagic fisheries for the next 10 years, namely 2018 - 2027 for lemuru fish, the highest biomass reserves will be obtained in 2027, using a fixed effort allocation which has biomass reserves of 179% and the potential value of sustainable reserves of 8,438.48 tonnes. The results showed that the superior commodities of small pelagic fish in North East Java were mackerel fish. The superior fish commodity in the Regency / City is obtained by Finny scad fish. The level of exploitation for mackerel is 127% with the status of Over Exploited, and the level of exploitation for Finny scad is 131% with the status of Over Exploited. The scenario for the management of the superior mackerel commodity, the highest biomass reserve in 2027 is the allowable fishing effort allocation (fJTB) of 129%. Key Words: STELLA ,Superior commodity, Fishery status, Sustainable potential
Prediksi Afinitas Ikatan Antibodi-Antigen Menggunakan Algoritma Vision Mamba Dengan Memanfaatkan Normal Mode Correlation Maps Ismanto, Matyus Garbela; Indriati; Rahman, Muh. Arif
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 3: Juni 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026133

Abstract

Antibodi dan antigen merupakan komponen penting dalam sistem kekebalan tubuh manusia. Kompleks antibodi-antigen memiliki peran krusial dalam respons imun, di mana kekuatan ikatan kompleks ini, yang dikenal sebagai afinitas, menjadi indikator kunci efektivitas pengembangan obat berbasis antibodi. Afinitas ikatan antibodi–antigen merupakan indikator penting dalam pengembangan obat berbasis antibodi, tetapi pengukurannya di laboratorium basah memerlukan waktu dan biaya tinggi. Oleh karena itu, pendekatan komputasional menjadi solusi alternatif untuk mempercepat dan menyederhanakan proses pengukuran tersebut. Penelitian ini mengajukan pertanyaan riset: sejauh mana model backbone vision modern (Vision Mamba) mampu memprediksi afinitas antibodi–antigen ketika dinamika struktur molekuler direpresentasikan sebagai citra. Metode yang digunakan meliputi: (1) pengambilan data struktur kompleks dari SAbDab, (2) pembersihan dan standarisasi struktur, (3) perhitungan dinamika menggunakan Elastic Network Model dan pembentukan Normal Mode Correlation Map sebagai input, (4) pelatihan Vision Mamba untuk regresi target afinitas dalam skala log10(Kd), dan (5) evaluasi menggunakan Pearson correlation (R) dan Mean Squared Error (MSE). Eksperimen dilakukan pada 634 data antibodi, dengan beberapa skenario pembagian data latih–uji. Hasil menunjukkan nilai korelasi R sebesar 0.724 dengan stabilitas pembelajaran yang cukup baik. Temuan ini menunjukkan bahwa reformulasi dinamika struktur sebagai citra memungkinkan Vision Mamba menangkap sinyal hubungan prediksi dan target, namun performa masih dipengaruhi keterbatasan data dan konfigurasi regularisasi. Penelitian ini membuka peluang eksplorasi state space model untuk tugas bioinformatika berbasis representasi citra pada data biologis non-natural.   Abstract Antibodies and antigens are essential components of the human immune system. Antibody–antigen complexes play a crucial role in immune responses, and the binding strength of these complexes (known as affinity) is a key indicator for the effectiveness of antibody-based drug development. However, measuring antibody–antigen binding affinity through wet-lab experiments is time-consuming and costly. Therefore, computational approaches offer an alternative solution to accelerate and simplify this measurement process. This study addresses the following research question: to what extent can a modern vision backbone model (Vision Mamba) predict antibody–antigen affinity when molecular structural dynamics are represented as images? The proposed method consists of: (1) collecting complex structural data from SAbDab, (2) cleaning and standardizing the structures, (3) computing structural dynamics using an Elastic Network Model and constructing Normal Mode Correlation Maps as model inputs, (4) training Vision Mamba for regression with affinity targets on the log10(Kd) scale, and (5) evaluating performance using Pearson correlation (R) and Mean Squared Error (MSE). Experiments were conducted on 634 antibody samples under several train–test split scenarios. The results show a correlation coefficient of R = 0.724 with reasonably stable learning behavior. These findings indicate that reformulating structural dynamics as images enables Vision Mamba to capture predictive signals related to affinity, although performance remains influenced by data limitations and regularization settings. This work opens opportunities to explore state space models for image-based bioinformatics tasks on non-natural biological data.
Pelatihan Pemanfaatan Teknologi Artificial Intelligence Bagi Guru-Guru SMP Sederajat Kecamatan Dau Kabupaten Malang Santoso, Edy; Marji; Ridok, Achmad; Rahman, Muh. Arif
DIMASLOKA: Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika Vol 4 No 2 (2025): Juli
Publisher : Fakultas Ilmu Komputer Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/dimasloka.v4i2.46

Abstract

Kecamatan Dau, Kabupaten Malang, merupakan salah satu wilayah di Jawa Timur yang memiliki potensi pendidikan yang besar. Di tengah pesatnya perkembangan teknologi, khususnya dalam bidang kecerdasan buatan (Artificial Intelligence), terdapat tantangan bagi pendidik untuk mengintegrasikan teknologi ini ke dalam proses pembelajaran di sekolah menengah pertama dan sederajat. Guru-guru sebagai ujung tombak pendidikan membutuhkan pemahaman dan keterampilan dalam memanfaatkan teknologi Artificial Intelligence untuk meningkatkan kualitas pembelajaran. Pengabdian Masyarakat ini berbentuk pelatihan atau edukasi teknologi untuk masyarakat berupa pemanfaatan teknologi kecerdasan buatan. Berdasarkan evaluasi hasil pelatihan ini  menunjukkan peningkatan yang signifikan oleh peserta dalam pemahaman mereka tentang Artificial Intelligence dan cara menerapkannya dalam pendidikan. Pelatihan ini juga memberikan fondasi yang kuat bagi guru untuk mulai mengintegrasikan teknologi Artificial Intelligence dalam kegiatan belajar-mengajar yang inovatif dan efektif di lingkungan sekolah.   Abstract Dau District, Malang Regency, is one of the areas in East Java that has great educational potential. In the midst of rapid technological developments, especially in the field of artificial intelligence, there are challenges for educators to integrate this technology into the learning process in junior high schools and the equivalent. Teachers as the spearhead of education need understanding and skills in utilizing Artificial Intelligence technology to improve the quality of learning. This Community Service takes the form of technology training or education for the community in the form of using artificial intelligence technology. Based on the evaluation, the results of this training show significant improvement by participants in their understanding of Artificial Intelligence and how to apply it in education. This training also provides a strong foundation for teachers to start integrating Artificial Intelligence technology in innovative and effective teaching and learning activities in the school environment.
Co-Authors A Alfan Jauhari Abdullah Hamid Achmad Ridok Agi Putra Kharisma, Agi Putra Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu Aida Sartimbul Aldinno, Deva Ali Muntaha Alvina Maharani Andi Khofifah Nurfadillah Andreas Pardede Arief Andy Soebroto Bagidya, Moga Taufiq Bagus Priambodo Berton, Freddy Toranggi Cangara, Satriawati Citra Satrya Utama Dewi Daduk Setyohadi Darmawan Ockto Sutjipto Debby Aranindy Putri Wangi Defri Yona Dewa Gede Raka Wiadnya Dewa Gedhe Raka Wiadnya Dewi Novita Sari Dian Eka Ratnawati Edy Santosa Edy Santoso Eko Sulkhani Yulianto Farys, Sholeh Al Fawwaz Haryono, M. Naufal Feni Iranawati Fransisca Sariuli Tobing Fransiskus Cahyadi Putra Pranoto Gatut Bintoro Geoffrey Manurung, Daniel Iis Nur Rodliyah, M.Ed Imam Cholissodin Imam Subali Indriati Ismanto, Matyus Garbela Jonemaro, Eriq Muhammad Adams Juan, Patrick Kurnianingtyas, Diva Lailil Muflikhah Ledhyane Ika Harlyan Marji Mihrobi Khalwatu Rihmi Mr Sunardi Muhammad Rafi Farhan Nanda Dwi Putra Miskarana Ade Nindi Nur Wulandari Nita Hellis Setyowati Novanto Yudistira Nugroho, Muhammad Alifyan Satrio Nurdin, Abd. Rahim Nurin Hidayati Nurin Hidayati Nurul Hidayat Prakoso, Gideon Aji Pramana Putra, Jody Priyanka Mondal Putra Pandu Adikara Putri, Safinatunnajah Mutiara Rahmansyah, Muhammad Dzikri Randy Cahya Wihandika Riska Oktaviana Rr Dea Annisayanti Putri Safitri Widya Ningtias Shobriyyah Afifah Nabilah Shofiatul Kholishoh Solimun, Solimun Sunardi Sunardi Sunardi, Sunardi Supapong Pattarapongpan SUTRISNO Syarifah Hikmah Julinda Sari Tri Djoko Lelono Tsania Humairoh Vita Rumanti Kurniawati Wahida Kartika Sari Wakhit Rhomadona Wayan Firdaus Mahmudy Yogho Faiz Riadha