Perancangan dan Implementasi Monitoring Chiller Berbasis IoT di PT Medisafe Technologies

Abstract

PT Medisafe Technologies merupakan perusahaan manufaktur sarung tangan nitril yang sangat bergantung pada kestabilan suhu lateks selama proses produksi. Suhu yang tidak terkontrol dapat menurunkan kualitas produk dan menyebabkan kerugian produksi. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring suhu air pada chiller berbasis Internet of Things (IoT) untuk memastikan pengendalian suhu berjalan secara real-time dan akurat. Sistem ini menggunakan sensor DS18B20 untuk mengukur suhu air, NodeMCU ESP32 sebagai pengolah data, serta aplikasi Blynk sebagai platform monitoring berbasis cloud. Metodologi penelitian meliputi perancangan perangkat keras dan perangkat lunak, implementasi sistem pada unit chiller di PT Medisafe Technologies, serta pengujian akurasi sensor, kestabilan koneksi, dan respons notifikasi. Hasil pengujian menunjukkan bahwa sistem mampu menampilkan suhu secara real-time dengan deviasi pengukuran rata-rata ±0,5°C. Sistem juga memberikan notifikasi otomatis melalui aplikasi Blynk saat suhu melebihi ambang batas 18°C dengan rata-rata waktu respons 3 detik. Selama pengujian, suhu mayoritas berada pada rentang aman 16–17,5°C, dengan beberapa kali terjadi kenaikan di atas ambang batas yang berhasil terdeteksi dan dilaporkan oleh sistem. Dapat disimpulkan bahwa sistem monitoring suhu berbasis IoT ini efektif dalam meningkatkan efisiensi pengawasan, mengurangi risiko kerusakan produk akibat suhu tidak stabil, serta memberikan kemudahan akses data secara jarak jauh. PT Medisafe Technologies is a manufacturing company producing nitrile gloves, where the stability of latex temperature during the production process is crucial. Uncontrolled temperature conditions may decrease product quality and cause production losses. This research aims to design and implement a temperature monitoring system for chiller water based on the Internet of Things (IoT) to ensure accurate and real-time temperature control. The system employs the DS18B20 temperature sensor for measurement, NodeMCU ESP32 as the data processor, and the Blynk application as a cloud-based monitoring platform. The research methodology includes hardware and software design, system implementation on chillers at PT Medisafe Technologies, and testing of sensor accuracy, connection stability, and notification response. The experimental results show that the system can display temperature in real-time with an average deviation of ±0.5°C. The system also provides automatic notifications via the Blynk application when the temperature exceeds the 18°C threshold, with an average response time of 3 seconds. During the tests, the water temperature mostly remained in the safe range of 16–17.5°C, with several increases above the threshold successfully detected and reported by the system. In conclusion, the IoT-based temperature monitoring system is effective in improving supervision efficiency, reducing the risk of product defects due to unstable temperature, and providing convenient remote access to real-time data. For future development, the system can be enhanced with automatic control features, historical data storage, and integration with web-based interfaces to expand its functionality and reliability.