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All Journal Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan
Syahputra Simatupang, Rama
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Arts Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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RANCANG BANGUN APLIKASI SURVEI KONDISI PERMESINAN KAPAL OLEH TECHNICAL SUPERTENDER BERBASIS MOBILE Wira Negara, Dafa; Syahputra Simatupang, Rama; Sianturi, Intan; Edy Kristyono, Antonius; Pratowo, Agus
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 5 No. 2 (2026)
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v5i2.4359

Abstract

Manual ship machinery surveys by technical supertenders in Indonesia cause 48-hour delays and 15% human errors, leading to higher downtime in archipelagic waters. This research aims to design a mobile application for real-time machinery condition surveys. Using Research and Development (R&D) with modified waterfall methodology and MIT App Inventor, the study targeted 15 supertenders and 5 maritime experts from Surabaya Polytechnic and MT. Pancaran Infinity tanker during 12-month sea practice. Instruments included AI2 Companion testing, Likert-scale validation, SPSS for Aiken's V (>0.8) and Cronbach's Alpha (>0.7), plus SWOT analysis. Results show the Planned Maintenance System prototype successfully records engine usage via Clock component, stores data offline with TinyDB, and delivers automatic notifications, reducing survey time by 50% and errors by 15%. In conclusion, the application enhances maintenance efficiency in limited connectivity areas, supporting national shipping sustainability.
RANCANG BANGUN SISTEM PENDETEKSI PENGGUNAAN SAFETY HELMET PADA ENGINE ROOM BERBASIS ARDUINO Eka Putri, Anggraeini; Syahputra Simatupang, Rama; Sianturi, Intan; Retno Gunarti, Monika; Dai Robbi, Shofa
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 5 No. 2 (2026)
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v5i2.4361

Abstract

Maritime safety demands innovative solutions amid rising engine room accidents from non-compliance with personal protective equipment like safety helmets, contributing 15-20% of global incidents. This study aimed to design and build an Arduino Pro Micro-based helmet detection system using micro switches and buzzers for real-time alerts in harsh ship environments. Employing a Research and Development (R&D) approach with ADDIE model, the prototype was tested on 10 engine crew (ABK) aboard KMP JAMBO IX via purposive sampling. Instruments included Arduino IDE for programming, serial monitors for data logging, and SPSS 26 for t-test analysis (p<0.05). Results showed 100% micro switch accuracy, 15-second buzzer response, and 7-hour battery life across four tests, reducing SOP violations from observed pre-implementation lapses. In conclusion, the system enhances crew discipline and supervision efficiency, bridging gaps in affordable maritime IoT safety tools, with potential to cut head injuries by 20-30%.
Co-Authors Dai Robbi, Shofa Edy Kristyono, Antonius Eka Putri, Anggraeini Pratowo, Agus Retno Gunarti, Monika Sianturi, Intan Wira Negara, Dafa