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All Journal Jurnal IPTEK Formosa Journal of Computer and Information Science
Catur Rakhmad Handoko, Catur Rakhmad
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering

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APLIKASI SISTEM PERINGATAN TABRAKAN PADA KAPAL BERBASIS DATA GPS MENGGUNAKAN LOGIKA FUZZY Sarena, Sryang Tera; Adhitya, Ryan Yudha; Handoko, Catur Rakhmad; Rinanto, Noorman
Jurnal IPTEK Vol 20, No 2 (2016)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.586 KB) | DOI: 10.31284/j.iptek.2016.v20i2.48

Abstract

Automatic Identification System (AIS)  is an important equipment in ship for giving ship’s information to other ships or harbour. Unfortunately, there is still no ship collision warning system included in AIS. Hence, an application of ship collision early warning system based on Global Positioning System (GPS) data is proposed in this paper. Here, the zero-order sugeno fuzzy logic is used to process the ships speed and position data. The output of this warning system are recommended ships speed and heading direction to prevent the ship collision based on IMO (International Maritime Organization) regulation. The object used is a ship prototype equiped with GPS. The testing is held in four position of the ship prototype againts static object. The positions are -45o, -25o, 25o dan 45o. The testing results yield 100% accuracy to the IMO regulation of the head on situations case.
Enhancing Aquaculture Efficiency through IoT-Based Monitoring of Solar PV Systems Handoko, Catur Rakhmad; Sutrisno, Imam; Sidi, Pranowo; Ardiansyah
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14139

Abstract

This research presents the design and implementation of an IoT-based monitoring system for solar photovoltaic (PV) performance in shrimp aquaculture ponds. The system aims to optimize the use of solar energy for powering critical operations such as water pumps and aerators in off-grid environments. It integrates sensors, a microcontroller, and cloud-based data visualization to track parameters including panel voltage, current, temperature, and power output. A prototype was deployed in a shrimp farm over a two-week period, with continuous data logging and real-time monitoring. The results indicate improved energy management and system reliability, supporting operational efficiency and sustainability in aquaculture. This study contributes to smart aquaculture practices by introducing a scalable and low-cost renewable energy monitoring solution
Co-Authors Adhitya, Ryan Yudha Ardiansyah C. I. Sutrisno Pranowo Sidi Rinanto, Noorman Sarena, Sryang Tera