Design Of Management Dashboard On Battery Powered Electric Fishing Boat

Baskoro, Melvin Setiadi (2026) Design Of Management Dashboard On Battery Powered Electric Fishing Boat. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan kapal nelayan listrik berbasis baterai memerlukan sistem pemantauan yang mampu memberikan informasi kondisi baterai dan penggunaan daya secara cepat serta mudah dipahami oleh pengguna. Penelitian ini bertujuan untuk merancang dan mengimplementasikan dashboard manajemen daya berbasis web sebagai media monitoring sistem kelistrikan pada kapal nelayan listrik bertenaga baterai. Sistem yang dikembangkan mengintegrasikan mikrokontroler ESP32-S3 dengan Daly Battery Management System (BMS), sensor GPS NEO-6M, sensor suhu DS18B20, dan sensor lingkungan BME280 untuk memperoleh data operasional secara berkala. Data yang diperoleh meliputi State of Charge (SOC), tegangan baterai, arus, daya, kapasitas baterai, estimasi waktu penggunaan, kecepatan, lokasi GPS, suhu lingkungan, suhu cold box, dan tekanan udara. Seluruh data ditampilkan pada dashboard web dalam bentuk indikator dan grafik historis sehingga memudahkan pengguna dalam memantau kondisi sistem secara visual. Hasil pengujian menunjukkan bahwa dashboard mampu menampilkan data telemetri dengan interval pembaruan sekitar 10 detik serta memberikan visualisasi kondisi baterai dan konsumsi daya secara kontinu. Meskipun demikian, performa dashboard pada beberapa perangkat masih memerlukan optimasi agar kompatibilitas dan responsivitas sistem dapat ditingkatkan. Hasil penelitian ini menunjukkan bahwa dashboard berbasis web dapat menjadi media monitoring yang efektif untuk mendukung pengelolaan daya pada kapal nelayan listrik bertenaga baterai.
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The development of battery-powered electric fishing boats requires a monitoring system that provides clear and accessible information about battery condition and power consumption. This study aims to design and implement a web-based power management dashboard for monitoring the electrical system of a battery-powered electric fishing boat. The proposed system integrates an ESP32-S3 microcontroller with a Daly Battery Management System (BMS), a GPS NEO-6M module, a DS18B20 temperature sensor, and a BME280 environmental sensor to periodically collect operational data. The monitored parameters include the State of Charge (SOC), battery voltage, current, power, remaining battery capacity, estimated operating time, boat speed, GPS location, ambient temperature, cold box temperature, and atmospheric pressure. All collected data are displayed on a web dashboard using indicators and historical trend graphs, allowing users to monitor the system condition more easily.
The test results show that the dashboard can display telemetry data with an update interval of approximately 10 seconds and provide continuous visualization of battery condition and power consumption. However, further optimization is needed to improve the dashboard's compatibility and responsiveness across different devices. The results of this study indicate that the proposed web-based dashboard can serve as an effective monitoring tool to support power management in battery-powered electric fishing boats.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Dashboard berbasis web, Manajemen daya, Kapal nelayan listrik, Battery Management System (BMS), Monitoring real-time, Web-based dashboard, Power management, Electric fishing boat, Battery Management System (BMS), Real-time monitoring.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning.
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User:	Melvin Setiadi Baskoro
Date Deposited:	05 Aug 2026 02:45
Last Modified:	05 Aug 2026 02:46
URI:	http://repository.its.ac.id/id/eprint/143812

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