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PERANCANGAN ALAT MONITORING SUHU MUATAN SECARA REAL-TIME UNTUK MENCEGAH KERUSAKAN KARGO PADA MV. OCEAN RUBY

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dc.contributor.author Angga Saptari, Muhammad
dc.date.accessioned 2026-08-10T08:50:06Z
dc.date.available 2026-08-10T08:50:06Z
dc.date.issued 2025
dc.identifier.uri http://repository.stipjakarta.ac.id//handle/123456789/5568
dc.description.abstract Cargo temperature is a critical factor influencing the quality of bulk grain cargo during a voyage. Temperature fluctuations inside the cargo hold can cause condensation, self- heating, and moisture migration, which potentially damage the cargo. In operational practices on MV. Ocean Ruby, temperature monitoring is still conducted manually at specific times, making it less effective in detecting early temperature rises, particularly during adverse weather conditions that restrict deck activities. This condition indicates a gap between cargo handling theory and field practice. This study aims to design an automatic and real-time cargo temperature monitoring device to enhance monitoring effectiveness and support ventilation decision-making during the voyage. The method utilized is Research and Development (R&D) through the stages of device design, development, and testing based on the Internet of Things (IoT). The results demonstrate that the device, developed using ESP32, DS18B20 temperature sensors, water sensors, and Firebase real-time database, is capable of generating accurate, continuous, and real- time temperature data. The device is also equipped with an LCD, LED indicators, and a buzzer as an early warning system against abnormal conditions. In conclusion, this device successfully improves monitoring effectiveness, reduces the risk of cargo damage, and supports more precise operational decision-making. en_US
dc.publisher Sekolah Tinggi Ilmu Pelayaran en_US
dc.subject MONITORING SUHU MUATAN SECARA REAL-TIME UNTUK MENCEGAH KERUSAKAN KARGO PADA MV. OCEAN RUBY en_US
dc.title PERANCANGAN ALAT MONITORING SUHU MUATAN SECARA REAL-TIME UNTUK MENCEGAH KERUSAKAN KARGO PADA MV. OCEAN RUBY en_US
dc.type Thesis en_US


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