PENERAPAN ALGORITMA REGRESI LINIER DALAM SISTEM KENDALI OTOMASI pH AKUARIUM IKAN ARWANA BERBASIS INTERNET OF THINGS (IoT)

RAIHAN, AHMAD (2026) PENERAPAN ALGORITMA REGRESI LINIER DALAM SISTEM KENDALI OTOMASI pH AKUARIUM IKAN ARWANA BERBASIS INTERNET OF THINGS (IoT). S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The objective of this research is to implement an Internet of Things (IoT)-based automatic temperature and pH control system for an Arowana fish aquarium to maintain water quality according to the habitat requirements. This is because Arowana fish are high-value ornamental fish that are sensitive to changes in water temperature and acidity. Therefore, an accurate, stable, and automated monitoring and control system is essential. The system is designed using an ESP32 microcontroller as its control center, while the sensors used are the DS18B20 temperature sensor and PH-450C sensor as data acquisition elements. A heater, a fan, and a water pump serve as actuators to automatically adjust the aquarium conditions to maintain pH and water temperature. pH sensor calibration was performed using a simple linear regression calibration method to improve measurement accuracy. The pH calibration was conducted by immersing the sensor in standard buffer solutions of pH 4, 7, and 9, representing acidic, neutral, and alkaline conditions. These values serve as reference points for correcting sensor readings. Calibration performance was measured using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R²). Evaluation of the tests showed that the linear regression calibration method reduced error levels by 57% for MAE and 67% for RMSE, and improved R² from 99.12% to 99.91%, compared to the manual calibration method. The control system maintained set-points of 28°C for water temperature and pH 7.0 for acidity with very low steady-state error. The Blynk IoT platform allows users to monitor aquarium conditions in real-time and remotely, with an average latency of 0.56 seconds and 0% packet loss. Based on the system test results, it can be concluded that the designed system is effective, reliable, and suitable for maintaining the environmental conditions of an Arowana fish aquarium. Keywords: Linear regression, Aquarium automation, pH calibration, DS18B20 sensor, ESP 32, Arwana Fish Target dari penelitian ini bertujuan untuk mengimplementasikan suatu sistem kendali otomatis suhu dan pH pada akuarium ikan Arwana berbasis Internet of Things (IoT) untuk menjaga kualitas lingkungan air agar tetap sesuai dengan kebutuhan habitat ikan. Hal ini dikarenakan ikan Arwana merupakan ikan hias yang bernilai ekonomi tinggi dan rentan terhadap perubahan suhu dan keasaman air. Oleh sebab itu diperlukan sistem pemantauan dan pengendalian yang akurat, stabil dan otomatis. Sistem ini dirancang dengan menggunkan mikrokontroler ESP32 sebagai pusat kendalinya, sedangkan sensor yang digunakan adalah sensor suhu DS18B20 dan PH-450C sebagai elemen akuisisi datanya. Heater, kipas, dan pompa air dijadikan aktuator untuk mengatur kondisi akuarium secara otomatis untuk menjaga pH dan suhu air akuarium. Kalibrasi sensor pH dilakukan dengan metode kalibrasi regresi linier sederhana untuk meningkatkan akurasi pengukuran. Penelitian kalibrasi pH ini dilakukan dengan cara memasukan sensor pada larutan buffer standar pH 4, 7 dan 9, yang merepresentasikan asam, netral, dan basa. Nilai tersebut berperan sebagai nilai referensi yang digunakan untuk mengoreksi pembacaan sensor. Kinerja kalibrasi diukur dengan parameter Mean Absolute Error (MAE), Root Mean Square Error (RMSE) dan setra koefisien determinasi (

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41423120041
Uncontrolled Keywords:	Regresi linier, Akuarium otomatis, Kalibrasi pH, Sensor DS18B20, ESP32, Ikan arwana
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer > 004.67 Wide Area Network (WAN)/Wide Area Network > 004.678 Internet (World Wide Web)/Internet 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn 700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 799 Fishing, Hunting, Shooting > 799.1 Fishing/Olah Raga Memancing > 799.16 Saltwater Fishing/Memancing di Air Asin, Memancing di Laut
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	khalimah
Date Deposited:	04 Mar 2026 03:12
Last Modified:	04 Mar 2026 03:12
URI:	http://repository.mercubuana.ac.id/id/eprint/101330

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