Perancangan Platform Algoritma Untuk Mengestimasi Kebutuhan Energi Dan Baterai Pada Kapal Kecil

Wisesa, Muhammad Radian Wisesa (2025) Perancangan Platform Algoritma Untuk Mengestimasi Kebutuhan Energi Dan Baterai Pada Kapal Kecil. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kapal kecil memiliki peran vital dalam perekonomian Indonesia, khususnya dalam sektor perikanan dan pariwisata. Namun, mayoritas kapal ini masih menggunakan bahan bakar fosil, yang berdampak negatif terhadap efisiensi operasional dan lingkungan, sehingga terbitlah penelitian ini yang bertujuan untuk mengembangkan platform algoritma untuk mengestimasi kebutuhan energi dan kapasitas baterai pada kapal kecil di Indonesia, seperti kapal nelayan dan wisata. Platfrom ini menggunakan pendekatan matematis untuk menghitung estimasi energi dan kapasitas baterai secara cepat dan akurat, mendukung desain kapal berbasis baterai yang efisien, serta mengurangi ketergantungan pada bahan bakar fosil dan emisi karbon. Data dikumpulkan, diolah, dan dihitung menggunakan persamaan tahanan kapal dan pemilihan motor serta baterai. Hasil perhitungan akan divisualisasikan dalam dashboard interaktif yang memudahkan pengguna menentukan kebutuhan energi kapal listrik. Platform algoritma dibangun menggunakan google collabs dengan bahasa python untuk mengintegrasikan perhitungan estimasi energi dan baterai. Platform ini memungkinkan pengguna eksplorasi mandiri dan simulasi kebutuhan energi. Pengujian dilakukan untuk memastikan fungsionalitas, tampilan ramah pengguna, dan aksesibilitas melalui browser. Keunggulan google collabs dalam kolaborasi dan aksesibilitas menjadikannya media ideal untuk presentasi dan pengujian platform. Penelitian ini menghasilkan tiga kesimpulan: pertama, estimasi kebutuhan energi kapal menggunakan besaran daya (BHP mcr) kapal dikalikan dengan waktu operasi dan margin 10% . Kedua, kebutuhan baterai dihitung berdasarkan kebutuhan energi dengan memperhatikan tegangan yang sesuai. Ketiga, platform algoritma berbasis google collabs dikembangkan untuk estimasi kebutuhan energi dan baterai, dengan pengujian untuk memastikan fungsionalitas dan aksesibilitas yang optimal. Diharapkan, platform ini dapat mempercepat penerapan sistem propulsi berbasis baterai pada kapal kecil di Indonesia, mengurangi ketergantungan pada bahan bakar fosil, serta berkontribusi pada mitigasi perubahan iklim global
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Small vessels play a vital role in Indonesia's economy, particularly in the fisheries and tourism sectors. However, the majority of these vessels still rely on fossil fuels, which negatively impact both operational efficiency and the environment. This study aims to develop an algorithmic platform for rapidly estimating energy requirements and battery capacity for small vessels in Indonesia, such as fishing boats and tourist boats. The method utilizes a mathematical approach to quickly and accurately calculate energy demands and battery capacity, supporting efficient battery-based vessel design while reducing dependence on fossil fuels and carbon emissions. Data is collected, processed, and computed using resistance equations and the selection of appropriate motors and batteries. The results are visualized in an interactive dashboard that helps users determine the energy needs of electric boats. The algorithmic platform is built using Google Colab and Python to integrate the energy and battery estimation process. This platform enables independent exploration and simulation of energy requirements. Testing is conducted to ensure functionality, user-friendly interface, and accessibility via a web browser. The collaborative and accessible nature of Google Colab makes it an ideal medium for platform presentation and evaluation. This study concludes with three key findings: first, energy demand estimation is based on the vessel's maximum continuous rating (BHP MCR) multiplied by operating time and a 10% margin. Second, battery capacity is calculated based on the estimated energy demand and appropriate voltage considerations. Third, an algorithmic platform built on Google Colab was successfully developed for energy and battery estimation, with testing confirming optimal functionality and accessibility. This method is expected to accelerate the adoption of battery-based propulsion systems for small vessels in Indonesia, reduce reliance on fossil fuels, and contribute to global climate change mitigation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Energi, Google Collabs, Kapasitas Baterai, Platform Algoritma,Algorithm Platform, Battery, Capacity, Energy, Google Collabs
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.74 Linear programming V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM341 Motorboats V Naval Science > VM431 Fishing boats V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM751 Resistance and propulsion of ships V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM773 Ship propulsion, Electric
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User:	Muhammad Radian Wisesa
Date Deposited:	04 Aug 2025 06:00
Last Modified:	04 Aug 2025 06:00
URI:	http://repository.its.ac.id/id/eprint/125755

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