IRAWAN, TEDDY (2026) MONITORING WATER CHILLER PT. MULTI MAKMUR INDAH INDUSTRI DENGAN INTERNET OF THINGS (IOT). S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The final project designed by the author aims to develop a monitoring system for the water chiller at PT. Multi Makmur Indah Industri based on the Internet of Things (IoT) and to evaluate the performance of the developed system in an integrated and comprehensive manner. The research method employed is a literature study related to problems in monitoring system design, including books, national journals, international journals, scientific articles, internet sources, and other references used as theoretical foundations in the design and testing processes. Device testing consists of sensor and component calibration testing on the monitoring device as well as overall system performance testing to ensure system reliability. The testing and data collection processes were conducted in the metal printing machine unit area and the water chiller unit of PT. Multi Makmur Indah Industri under actual operational conditions in the field. The results of the project indicate the successful realization of a water chiller monitoring system consisting of hardware and software components, including two ESP32 DevKit V1 microcontroller modules as data transmitter and receiver, a DS18B20 temperature sensor, turbidity sensor, PH4502C pH sensor, JSN SR04T distance sensor, Nextion Discovery 3.5-inch HMI module, and Telegram bot and Google Sheets as monitoring and data logging media. Based on testing results, the temperature sensor shows an error value of 1.1%, the pH sensor 0.2%, and the distance sensor 0.5%, while the turbidity sensor can distinguish turbidity levels linearly and consistently. The monitoring system displays temperature, pH, water level, turbidity, and the status of pump 1, pump 2, and the water chiller blower accurately on the Nextion display, and provides alarms through a buzzer, indicator LEDs, display status alerts, and Telegram notifications during abnormal conditions. Monitoring data are successfully transmitted and stored in Google Sheets in real time as historical records accessible for future analysis, while the Telegram bot responds automatically with an average response time of 1.8 seconds for general messages, 1.7 seconds for the /status command, and 2.1 seconds for the /alarm command. Keywords: monitoring, water chiller, internet of things, telegram bot, data logging Tugas akhir yang dirancang penulis memiliki tujuan untuk merancang bangun sistem Monitoring Water Chiller PT. Multi Makmur Indah Industri dengan Internet of Things (IoT) serta mengukur unjuk kerja dari sistem yang telah dirancang tersebut secara menyeluruh dan terintegrasi. Metode penelitian yang digunakan berupa studi literatur yang berkaitan dengan permasalahan pada perancangan sistem monitoring, meliputi buku, jurnal nasional, jurnal internasional, artikel ilmiah, internet, serta berbagai sumber lain sebagai acuan dan landasan teori dalam proses perancangan dan pengujian. Pengujian alat terdiri dari pengujian kalibrasi sensor dan komponen pada alat monitoring serta pengujian sistem kerja secara keseluruhan guna memastikan keandalan sistem. Proses pengujian dan pengambilan data dilaksanakan pada area unit mesin metal printing dan unit water chiller PT. Multi Makmur Indah Industri dalam kondisi operasional nyata di lapangan. Hasil penyusunan tugas akhir menunjukkan terwujudnya rancang bangun alat monitoring water chiller yang terdiri dari perangkat keras dan perangkat lunak, meliputi dua modul mikrokontroler ESP32 DevKit V1 sebagai pengirim dan penerima data, sensor suhu DS18B20, sensor turbidity, sensor pH PH4502C, sensor jarak JSN SR04T, modul HMI Nextion Discovery 3.5 inci, serta bot Telegram dan Google Sheets sebagai media monitoring dan data logging sistem. Berdasarkan hasil pengujian, sensor suhu memiliki nilai galat sebesar 1,1%, sensor pH sebesar 0,2%, dan sensor jarak sebesar 0,5%, sedangkan sensor kekeruhan mampu membedakan tingkat kekeruhan air secara linear dan konsisten. Sistem monitoring mampu menampilkan data suhu, pH, tinggi air, kekeruhan, serta status pompa 1, pompa 2, dan blower water chiller secara akurat pada Nextion Display, serta memberikan alarm melalui buzzer, LED indikator, tampilan status alarm pada nextion display, dan notifikasi bot Telegram saat terjadi kondisi tidak normal pada sistem. Data monitoring berhasil dikirim dan tersimpan pada Google Sheets secara real-time sebagai data historis yang dapat diakses kembali, sedangkan bot Telegram mampu merespons pesan otomatis dengan waktu rata-rata 1,8 detik untuk respons pesan acak, 1,7 detik untuk fungsi pesan /status, dan 2,1 detik untuk fungsi pesan /alarm pada sistem monitoring. Kata kunci: monitoring, water chiller, internet of things, bot telegram, data logging
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