http://repository.stipjakarta.ac.id//handle/123456789/73 2026-09-30T04:03:35Z 2026-09-30T04:03:35Z Arnanda, Arsil Dwi http://repository.stipjakarta.ac.id//handle/123456789/5625 2026-08-28T03:30:07Z 2026-07-01T00:00:00Z

RANCANG BANGUN SISTEM SENSOR BERBASIS INTERNET OF THINGS GUNA MENINGKATKAN EFEKTIVITAS MONITORING SUHU MUATAN PADA KAPAL BULK CARRIER Arnanda, Arsil Dwi Arnanda, Arsil Dwi. 2026. “Rancang Bangun Sistem Sensor Berbasis Internet of Things Guna Meningkatkan Efektivitas Monitoring Suhu Muatan Pada Kapal Bulk Carrier” Penelitian ini bertujuan untuk merancang dan membangun sistem sensor berbasis Internet of Things (IoT) guna meningkatkan efektivitas monitoring suhu dan kelembapan muatan pada kapal bulk carrier. Latar belakang penelitian ini adalah proses monitoring suhu dan kelembapan muatan batu bara yang masih dilakukan secara manual oleh kru kapal sehingga belum mampu memberikan pengawasan yang optimal, kontinu, dan real-time selama pelayaran. Kondisi tersebut berpotensi menimbulkan keterlambatan deteksi terhadap peningkatan suhu dan kelembapan yang dapat menyebabkan self-heating, kerusakan muatan, serta membahayakan keselamatan kapal. Penelitian ini menggunakan metode Research and Development (R&D) melalui tahapan identifikasi masalah, perancangan sistem, pembuatan alat, pengujian, dan evaluasi sistem. Sistem yang dikembangkan menggunakan sensor SHT31-D, mikrokontroler ESP32, protokol MQTT, LCD 16x2 I2C, dan buzzer sebagai sistem peringatan dini. Hasil penelitian menunjukkan bahwa sistem mampu melakukan monitoring suhu dan kelembapan secara otomatis dan real-time dengan delay pengiriman data rata-rata 1–2 detik. Sensor juga memiliki tingkat akurasi yang baik dengan nilai error yang masih berada dalam batas toleransi. Sistem mampu memberikan peringatan dini ketika suhu dan kelembapan melebihi batas yang telah ditentukan. Dengan demikian, sistem monitoring berbasis IoT yang dikembangkan terbukti mampu meningkatkan efektivitas monitoring muatan pada kapal bulk carrier.

2026-07-01T00:00:00Z Grani, Prilian Eri http://repository.stipjakarta.ac.id//handle/123456789/5624 2026-08-28T03:22:01Z 2026-07-01T00:00:00Z

ANALISIS PENERAPAN MODEL SMART CARGO ONITORING BERBASIS IOT DALAM MENDUKKUNG AKURASI PROSES ULLAGING DI MT PATRA TANKER 2 Grani, Prilian Eri Grani, Prilian Eri. 2026. "Analysis of the Implementation Model of IoT-Based Smart Cargo Monitoring in Supporting the Accuracy of the Ullaging Process on MT Patra Tanker 2." This study aims to analyze the implementation of Smart Cargo Monitoring based on the Internet of Things (IoT) in supporting the accuracy of the ullaging process on MT Patra Tanker 2. The problems addressed include the continued dominance of manual ullaging methods using sounding tape, which are prone to reading and recording errors, as well as the absence of an IoT-based automated cargo monitoring system capable of providing real-time and integrated liquid level data.This research employs a qualitative approach using a case study method, conducted during a sea practice period on board MT Patra Tanker 2 from August 2024 to August 2025. Data were collected through direct observation, interviews with ship officers and crew, and documentation including sounding records, cargo reports, and ship operational data. The findings indicate that the ullaging process on MT Patra Tanker 2 is still performed manually and heavily dependent on operator accuracy, making it susceptible to human error and environmental factors such as ship vibration and wave conditions. The absence of an IoT-based automated monitoring system means that liquid level data can only be obtained periodically rather than continuously. This study proposes a solution through the development of an IoT- based Smart Cargo Monitoring system utilizing components such as a TF Luna LiDAR sensor, ESP32 microcontroller, and the Blynk application, which can deliver real-time cargo level information via smartphone. It is recommended that the company gradually implement an IoT-based monitoring system, provide adequate supporting facilities, and conduct crew training to optimize the use of this technology in tanker operations.

2026-07-01T00:00:00Z ADI SETIAWAN, MUHAMMAD http://repository.stipjakarta.ac.id//handle/123456789/5622 2026-08-18T08:05:23Z 2025-01-01T00:00:00Z

PERAN SISTEM VENTILASI OTOMATIS BERBASIS SENSOR SUHU DAN GAS UNTUK PENCEGAHAN SELF-HEATING MUATAN BATUBARA DI MV. NOAH GRACIA ADI SETIAWAN, MUHAMMAD Coal cargo transported by bulk carrier vessels is susceptible to self-heating due to the oxidation process. This condition can lead to rising temperatures, the formation of hazardous gases, and even fires inside cargo holds if not detected at an early stage. During sea practice aboard MV. Noah Gracia, the monitoring of cargo temperature and air conditions inside the holds was still carried out manually through direct inspections by the crew. This method has several limitations, including delays in identifying changes in cargo conditions and an increased risk of crew exposure to hazardous gases. This study employed a qualitative descriptive method, with data collected through observation, interviews, documentation, and literature review. The research focused on analyzing the weaknesses of the manual ventilation system and examining the importance of implementing an automatic ventilation system supported by temperature and gas sensors. The findings indicate that the manual system is unable to provide continuous and real-time monitoring of cargo hold conditions, thereby increasing the risk of self-heating. Furthermore, direct inspections inside the cargo hold may endanger crew members due to potential exposure to toxic gases. Therefore, the implementation of an automatic ventilation system based on temperature and gas sensors can serve as a more effective solution by continuously monitoring hold conditions, providing early warnings when abnormal temperature increases or hazardous gas concentrations are detected, reducing human error, and enhancing both cargo safety and crew safety during voyages. Consequently, the application of this technology can help prevent self- heating incidents in coal cargo carried aboard MV. Noah Gracia.

2025-01-01T00:00:00Z BINTAN SILALAHI, GERALD http://repository.stipjakarta.ac.id//handle/123456789/5619 2026-08-18T07:56:21Z 2025-01-01T00:00:00Z

STUDI KASUS PENERAPAN SISTEM MONITORING BERBASIS IOT PADA PALKA 5 UNTUK MENDUKUNG EFISIENSI PEMUATAN CURAH DI MV. LUMOSO KARUNIA IX BINTAN SILALAHI, GERALD This research was prompted by the suboptimal inspection and monitoring system for hold conditions on the MV. Lumoso Karunia IX, which still relies on manual visual inspections. This method has limitations in terms of accuracy and continuity, and is unable to provide real-time information regarding temperature and humidity conditions inside the holds. This has the potential to cause delays in detecting changes in environmental conditions that could affect cargo quality and the efficiency of the loading process. The objective of this study is to analyse the application of an Internet of Things (IoT)-based monitoring system to improve the effectiveness of hold condition monitoring and support efficiency in the bulk cargo loading process.This research employs a qualitative approach, utilising data collection techniques such as direct observation, interviews and documentation during the course of the sea training. The data obtained was analysed descriptively to identify the issues encountered and to evaluate the implementation of an IoT-based monitoring system as a solution. The research findings indicate that the manual monitoring system currently in place is unable to provide information quickly and accurately, which could potentially lead to delays in decision-making during the loading process. Furthermore, the limited manpower and time available for conducting direct inspections inside the holds present a major obstacle. The implementation of an IoT-based monitoring system enables real-time and continuous monitoring of temperature and humidity, allowing the crew to monitor the hold’s conditions via monitoring devices without the need for direct inspections. This results in improved efficiency in terms of time and manpower, whilst supporting the smooth operation of the bulk cargo loading process.

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