Rancang Bangun Pengendalian Pada Cold Storage Box Kontainer Untuk Menjaga Kestabilan Temperature Berbasis IOT

Nasrulloh, Muhammad Arfan (2026) Rancang Bangun Pengendalian Pada Cold Storage Box Kontainer Untuk Menjaga Kestabilan Temperature Berbasis IOT. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Cold storage merupakan sistem penyimpanan yang berfungsi menjaga kualitas produk selama proses penyimpanan dengan temperatur terkontrol. Ketidakstabilan temperatur dapat menurunkan mutu produk, sehingga diperlukan sistem pengendalian dan monitoring yang andal. Penelitian ini merancang dan mengimplementasikan sistem pengendalian temperatur berbasis Internet of Things (IoT) pada cold storage menggunakan Raspberry Pi 5 sebagai kontroler dan sensor DS18B20 sebagai sensor temperatur. Sistem menerapkan metode kontrol on–off dengan acuan setpoint yang ditentukan melalui dashboard berbasis web serta komunikasi data menggunakan protokol MQTT. Data temperatur disimpan dalam database sebagai data historis untuk keperluan analisis kinerja sistem. Hasil pengujian sensor menunjukkan performa pengukuran yang baik. Sensor 1 memiliki nilai error sebesar 0,02 dengan persentase error 2% dan tingkat akurasi 98%, sedangkan sensor 2 memiliki nilai error sebesar 0,03 dengan persentase error 3% dan tingkat akurasi 97%. Pengujian performa IoT menunjukkan rata-rata delay pengiriman data sebesar 00:00:02, sehingga sistem monitoring dapat bekerja secara real-time. Pengujian beban dilakukan selama 24 jam menggunakan sayur pak choy dan buah apel. Hasil pengujian menunjukkan waktu yang dibutuhkan sistem untuk mencapai setpoint pada sayur pak choy adalah 1 jam 58 menit, sedangkan pada buah apel membutuhkan waktu 2 jam 46 menit. Secara keseluruhan, sistem mampu menjaga temperatur cold storage secara stabil sesuai setpoint yang ditentukan
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Cold storage is a storage system designed to maintain product quality by controlling temperature during the storage process. Temperature instability can reduce product quality; therefore, a reliable temperature control and monitoring system is required. This research designs and implements an Internet of Things (IoT)–based temperature control system for cold storage using a Raspberry Pi 5 as the main controller and DS18B20 sensors as temperature sensors. The system applies an on–off control method based on a predefined setpoint configured through a web-based dashboard, with data communication using the MQTT protocol. Temperature data are stored in a database as historical data for system performance analysis. The sensor testing results show good measurement performance. Sensor 1 produces an error value of 0.02 with a percentage error of 2% and an accuracy of 98%, while sensor 2 produces an error value of 0.03 with a percentage error of 3% and an accuracy of 97%. IoT performance testing shows an average data transmission delay of 00:00:02, indicating that the monitoring system can operate in real time. Load testing was conducted for 24 hours using pak choy vegetables and apples. The results show that the time required to reach the setpoint for pak choy is 1 hour 58 minutes, while for apples it is 2 hours 46 minutes. Overall, the system is able to maintain cold storage temperature stably according to the defined setpoint.

Item Type:	Thesis (Diploma)
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery > TJ222 Supervisory control systems. T Technology > TJ Mechanical engineering and machinery > TJ990 Compressors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4035.R4 Refrigeration and refrigerating machinery
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Muhammad Arfan Nasrulloh
Date Deposited:	05 Aug 2026 01:05
Last Modified:	05 Aug 2026 01:05
URI:	http://repository.its.ac.id/id/eprint/143606

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