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Reparasi Kapal Nelayan Kelompok Citra Desa Ulu Pulau Jamal; Hardiyanto Hardiyanto; Fazrian Fazrian
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 2 (2025): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/fjq00x49

Abstract

Kelompok Nelayan Citra merupakan satu-satunya kelompok nelayan yang ada di Desa Ulu Pulau. Meskipun sebagian besar masyarakat desa menggantungkan mata pencaharian pada perkebunan karet, sebagian kecil di antaranya juga bekerja sebagai nelayan. Kelompok ini memiliki peran yang signifikan dalam mendukung perekonomian lokal, tidak hanya dengan memastikan ketersediaan ikan segar di desa, tetapi juga dengan berkontribusi pada stabilisasi harga ikan terhadap fluktuasi pasar dari luar. Namun demikian, kelompok nelayan ini menghadapi tantangan yang cukup serius, khususnya terkait dengan ketersediaan kapal penangkap ikan yang layak laut. Kapal nelayan Citra saat ini mengalami kerusakan struktural yang parah, meliputi bagian linggi haluan, lunas, balok geladak, dan rumah geladak. Untuk mengatasi permasalahan tersebut, telah dilakukan perbaikan melalui penggantian komponen yang rusak dengan material baru sehingga keselamatan dan keandalan operasional kapal dapat lebih terjamin.
Edge-Based Early Warning for High-Speed Boat Stability Monitoring Muhammad Asep Subandri; Jamal; Fajar Ratnawati; I Gusti Agung Putu Mahendra; Agus Tedyyana; Budhi Santoso
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 3 (2026): September 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i3.11866

Abstract

Purpose - This study aims to develop and evaluate an edge-based early warning prototype for monitoring the stability of high-speed boats using real-time motion data. Design/methods/approach – The study employs an engineering prototype validation design consisting of system requirement analysis, architecture design, implementation, and validation. The system integrates an IMU (MPU-6050) for motion sensing, a Raspberry Pi-based edge computing unit for real-time processing, rule-based classification (Normal/Warning/Critical), and an MQTT-based communication framework connected to the SHISTAMO dashboard. Prototype validation includes functional testing, platform integration, and operational monitoring using controlled scenarios and expert-labeled events. Findings - The results show that the prototype successfully performs end-to-end integration from sensing to visualization. The system achieved 90.4% classification accuracy, with high recall in detecting critical conditions (96.7%), ensuring reliable identification of high-risk events. The local alarm response time was 182 ms, while the dashboard update delay averaged 1.24 s, indicating near-real-time performance. Communication reliability was also high, with 98.8% data delivery success and 97.2% offline synchronization. Research implications/limitations – The findings demonstrate prototype-level feasibility; however, validation is limited to controlled scenarios and does not yet represent diverse sea conditions. The rule-based thresholds and comfort proxy require further calibration and validation through extended sea trials and reference instrumentation. Originality/value – This study contributes an integrated edge-based maritime monitoring prototype that combines motion sensing, offline-capable alarming, real-time telemetry, and fleet-level logging in a single system, specifically tailored to the operational needs of high-speed boats.