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Mitigasi Risiko Pencemaran Laut dalam Krisis Kamar Mesin: Analisis Problem Solving Skills Taruna Teknika Politeknik Pelayaran Monika Retno; Anak Agung Istri Sri Wahyuni; Tanti Diyah Rahmawati; Antonius Edy Kristiyono
Jurnal Ilmiah Pendidikan Lingkungan dan Pembangunan Vol 27 No 02 (2026): PLPB: Jurnal Pendidikan Lingkungan dan Pembangunan Berkelanjutan, Volume 27 Nom
Publisher : Program Studi Pendidikan Kependudukan dan Lingkungan Hidup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/plpb.v27i02.70339

Abstract

Marine environmental pollution stemming from ship operations—specifically within the engine room—remains a critical ecological threat to global marine biodiversity. Incidents involving oil spills and illegal waste discharge are frequently triggered by technical system failures, compounded by crew anxiety during emergencies. Marine engineering cadets, as future engine room operators, are required to master not only mechanical aspects (hard skills) but also adaptive problem-solving capabilities under extreme psychological pressure. This study aims to analyze the urgency, efficacy, and dynamics of problem-solving skills among marine engineering cadets at the Marine Polytechnic as a means of mitigating marine pollution risks during engine room crises. A descriptive qualitative method employing a purposive case study approach was utilized. The research focused on observing final-year marine engineering cadets during training sessions in the Engine Room Simulator (ERS) laboratory. Data collection relied on triangulation, incorporating structured participatory observation based on Engine-room Resource Management (ERM) competency rubrics, in-depth interviews, and an analysis of simulator data logs. The findings reveal significant cognitive limitations within the cadets' problem-solving cycle. While the cadets demonstrated excellent performance in the problem identification stage (85%), their capacity declined sharply during the solution execution phase (40%) and the environmental impact evaluation stage (30%).
Rancang Bangun GPS Tracker di Kapal dengan Menggunakan Internet of Things (IoT) Muchammad Muzammil Arrozak; Antonius Edy Kristiyono; Prihastono Prihastono
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 3 (2025): Mei : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i3.822

Abstract

This study aims to design and develop a GPS tracking system for ships integrated with Internet of Things (IoT) technology. The system enables real-time ship position monitoring via the Telegram application by utilizing ESP32, SIM800L, and GPS Neo 6M modules. The research employs an experimental method with both static and dynamic testing of hardware components such as GPS modules, SD cards, and battery performance. The test results demonstrate that the system successfully transmits accurate coordinate data to Telegram and logs the location on the SD card module. This system is expected to serve as an alternative solution to improve ship tracking security and efficiency, particularly in emergency situations or AIS signal loss.
Rancang Bangun Detektor Karbon Monoksida (CO) dengan MQ-7 Berbasis Internet of Things Pramudito Herlambang; Antonius Edy Kristiyono; Eddi Eddi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 3 (2025): Mei : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i3.843

Abstract

The detection of hazardous gases, such as carbon monoxide (CO), is crucial for ensuring human safety and health, especially in enclosed environments or areas with a high potential for exposure to toxic gases. Carbon monoxide is a colorless, odorless gas that is extremely dangerous when inhaled in large amounts. Therefore, a CO detection system that can provide early warnings is essential. This research aims to design a carbon monoxide (CO) detector using the MQ-7 sensor, which can detect CO concentrations in the air. The detection system is developed based on Internet of Things (IoT) technology, enabling real-time CO detection data to be transmitted to a cloud platform or user devices via an internet connection. This allows users to monitor CO levels in their environment anytime and anywhere. The system consists of the MQ-7 sensor to detect CO levels, a microcontroller as the controller, and a communication module to send data to the internet. The main advantage of this system is its ability to notify users if CO levels exceed a safe threshold. Thus, this detector can function as a preventive tool against CO exposure accidents. The use of IoT in this system also facilitates remote monitoring, improving the effectiveness and efficiency of managing a safe environment.