Perancangan Sistem Monitoring Level dan Suhu Serta Transfer Crude Palm Oil Berbasis Rule Based Control Terintegrasi IoT Menggunakan V-Model

Utami, Putri Indah Adi (2026) Perancangan Sistem Monitoring Level dan Suhu Serta Transfer Crude Palm Oil Berbasis Rule Based Control Terintegrasi IoT Menggunakan V-Model. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 2040221075-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (5MB)

Abstract

Pabrik Kelapa Sawit (PKS) di Indonesia umumnya menyimpan Crude Palm Oil (CPO) pada tangki penyimpanan (storage tank) dengan suhu yang harus dipertahankan pada rentang 40–60°C untuk menjaga mutu minyak dan mencegah peningkatan kadar Free Fatty Acid (FFA). Pemantauan kondisi tangki selama ini masih banyak dilakukan secara manual melalui metode manual sounding, yang membutuhkan waktu sekitar 30–45 menit per tangki pada ketinggian 10–15 meter, sehingga kurang efisien dan berisiko terhadap keselamatan kerja operator. Penelitian ini bertujuan merancang dan membangun prototipe sistem monitoring suhu, level, dan transfer CPO antara dua tangki (Tangki A sebagai pengirim dan Tangki B sebagai penerima) yang terintegrasi Internet of Things (IoT), menggunakan sensor load cell dan modul HX711 untuk estimasi massa dan volume, sensor thermocouple tipe K dengan modul MAX6675 untuk suhu, sensor ultrasonik HC-SR04 untuk level cairan. Pengendalian aktuator heater, pompa, dan valve dilakukan menggunakan rule based control berbasis logika if-else pada mikrokontroler ESP32, dengan data monitoring ditampilkan secara real time melalui platform ThingSpeak. Seluruh tahapan perancangan, implementasi, verifikasi, dan validasi sistem dilakukan menggunakan metode V-Model. Hasil pengujian menunjukkan bahwa sensor load cell memiliki akurasi rata-rata 98,92% (error 1,08%), sensor thermocouple memiliki error 0,07–0,50%, dan sensor ultrasonik memiliki akurasi rata-rata 97,25%. Pada pengujian keseluruhan sistem sebanyak 50 kali, seluruh proses monitoring dan transfer CPO memperoleh status "Berhasil" pada proses pengiriman data. Dengan demikian, sistem yang dikembangkan menggunakan V-Model mampu menjadi alternatif terhadap proses manual sounding dalam meningkatkan efisiensi monitoring serta mendukung pencegahan overfill secara otomatis pada proses transfer CPO.
=======================================================================================================================================
Palm Oil Mills (POMs) in Indonesia generally store Crude Palm Oil (CPO) in storage tanks, where the temperature must be maintained within the range of 40–60°C to preserve oil quality and prevent an increase in Free Fatty Acid (FFA) content. Currently, tank condition monitoring is still widely performed manually using the manual sounding method, which requires approximately 30–45 minutes per tank at a height of 10–15 meters, making the process inefficient and posing safety risks to operators. This study aims to design and develop a prototype of an Internet of Things (IoT)-based system for monitoring temperature, liquid level, and CPO transfer between two tanks (Tank A as the sending tank and Tank B as the receiving tank). The system employs load cells integrated with an HX711 module to estimate mass and volume, a K-type thermocouple with a MAX6675 module for temperature measurement, and an HC-SR04 ultrasonic sensor for liquid level detection. The heater, pump, and valve are controlled using a rule-based control approach based on if–else logic implemented on an ESP32 microcontroller, while real-time monitoring data are displayed through the ThingSpeak platform. The entire system development process, including design, implementation, verification, and validation, was carried out using the V-Model methodology. The experimental results show that the load cell achieved an average accuracy of 98.92% (1.08% error), the thermocouple exhibited an error ranging from 0.07% to 0.50%, and the ultrasonic sensor achieved an average accuracy of 97.25%. In the overall system evaluation conducted over 50 test trials, all monitoring and CPO transfer operations were successfully completed, with successful real-time data transmission to the IoT platform. These results demonstrate that the proposed V-Model-based system can serve as an effective alternative to the conventional manual sounding method, improving monitoring efficiency while supporting automatic overfill prevention during the CPO transfer process.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Crude Palm Oil (CPO), ESP32, Internet of Things (IoT), Rule Based Control, ThingSpeak, Load Cell, Overfill Prevention, V-Model
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General) T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments T Technology > TP Chemical technology > TP370 Food processing and manufacture
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Putri Indah Adi Utami
Date Deposited:	07 Aug 2026 14:52
Last Modified:	07 Aug 2026 14:52
URI:	http://repository.its.ac.id/id/eprint/142204

Actions (login required)

View Item