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All Journal Jurnal Penelitian Teknologi Informasi dan Sains Journal of Transportation and Society Empowerment
Eka Setia Budi
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media

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SOSIALISASI PENANGGULANGAN BAHAYA KEBAKARAN DI ATAS KAPAL BAGI MASYARAKAT NELAYAN DAN ANAK BUAH KAPAL DI DESA PASIR, KABUPATEN KEBUMEN, JAWA TENGAH Juharis; Eka Setia Budi; Ahmad Adiarsa, Hilda Emeraldo; Pratama, Ardian; Sithaningtyas; Fatimah; Putri, Indira Ari; Djari, Janny Adriani
Pengabdian Masyarakat Vol 2 No 2 (2024): JTSE Vol.2 No.2 2024
Publisher : Politeknik Ilmu Pelayaran Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46484/jtse.v2i2.783

Abstract

Socialization of fire hazard management on boats for the community fishermen and crew members was held in Pasir Village, Ayah Subdistrict, Kebumen Regency. Kebumen Regency. This socialization activity was held to provide education to fishermen and crew members on the coast of Pasir village, about how to deal with fire hazards while on the ship.
Rancang Bangun Smart Monitoring Kualitas Air Pengumpan Ketel Uap Berbasis Internet of Things (IoT) Eka Setia Budi; Iksan Saifudin
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4210

Abstract

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.
Co-Authors Ahmad Adiarsa, Hilda Emeraldo Djari, Janny Adriani Fatimah Iksan Saifudin Juharis Pratama, Ardian Putri, Indira Ari Sithaningtyas