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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri
Hasibuan, Mhd Perdiansyah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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LINEAR REGRESSION-BASED CALIBRATION OF THE HK1100C PRESSURE SENSOR USING ARDUINO IDE Kartika, Kartika; Misriana, Misriana; Hasibuan, Mhd Perdiansyah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6624

Abstract

Pressure sensors play a crucial role in various industrial and scientific applications. The accuracy and precision of pressure measurements depend highly on the sensors' calibration. This study aims to calibrate the HK1100C pressure sensor using a linear regression method, supported by the Arduino IDE software, and to display real-time measurement results via an I2C LCD screen. The experimental procedure involves connecting the HK1100C sensor to an Arduino UNO board, collecting pressure data using a pressure gauge as a reference, and analyzing the data through linear regression to obtain the calibration equation. The results indicate that the HK1100C sensor provides high accuracy and precision. The smallest average error was recorded at 10 PSI with a value of 0.00038%, while the most significant average error occurred at 2 PSI with a value of 0.00372%. Additionally, the standard deviation of the measurements was relatively low, indicating good data consistency. The lowest standard deviation was found at 6 PSI at 0.0012%, and the highest at 12 PSI at 0.092%. The linear regression method effectively calibrated the HK1100C sensor, resulting in accurate and consistent pressure measurements. This approach also demonstrates that the Arduino IDE is an efficient and flexible tool for developing pressure measurement systems tailored to specific needs.
Implementation of Linear Regression Method for Calibration and Temperature Measurement on PT100 Temperature Sensor Kartika, Kartika; Asran, Asran; Hasibuan, Mhd Perdiansyah; Misriana, Misriana
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5206

Abstract

The PT100 temperature sensor, a type RTD (resistance temperature detector), is widely employed in industries, particularly for steam boiler temperature regulation. Precise temperature measurement is vital for operational efficiency and safety maintenance. Utilizing linear regression for calibrating and measuring temperature with the PT100 sensor integrated with Arduino Uno and LCD I2C is proposed to enhance accuracy. Testing involved assembling the PT100 sensor with Arduino Uno and LCD I2C. Test data were employed for linear regression to derive the calibration equation. Measurements were conducted by comparing PT100 sensor readings with a digital thermometer across a temperature range of 30ºC to 75ºC at 5ºC intervals, with each temperature point tested five times. Results exhibit good accuracy in temperature measurement with the PT100 sensor, featuring low error and percentage error. The standard deviation indicates consistent measurement. Integration of the PT100 temperature sensor with Arduino Uno and LCD I2C, coupled with linear regression for calibration, yields a precise temperature measurement system. Testing against a digital thermometer demonstrates highly accurate outcomes. This developed system finds application in high-precision temperature measurement for steam boiler operations.
Co-Authors Asran, Asran Kartika Kartika Misriana Misriana, Misriana