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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.
Sistem Automatic Main Failure Pada Genset Berbasis Outseal PLC Munir, Kartika; Rohan, Rohan; Misriana, Misriana; Asran, Asran; Yana, Dewi
Elektron : Jurnal Ilmiah Vol 17 No 1 (2025): Volume 17 Nomor 1 Tahun 2025
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.17.1.573

Abstract

Electrical energy is an important part of supporting life. PLN, as the main source of electricity supply, does not guarantee that it will always be reliable, so alternative resources are needed to support these electricity needs; the resources required to replace PLN's main resource are generators. The automatic main failure is equipment with an automatic control system to overcome main channel disturbances of the electric energy supply system and generator heating system. To extend the genset life in the input section, a push button is a conventional control on the automatic main failure circuit, which includes starting the generator, the generator off, and resetting. In the process section, the Outseal PLC Mega V1 functions as a data or command processor from input to output. From the test, it can be concluded that the time needed to activate the generator when the PLN goes out is ± 15 seconds if the generator can be activated by starting once. The fuel indication system also works according to its function. From the results of the generator heating system scheduled for automatic main failure, the time that has been programmed is 1 time in 7 days for ± 45 minutes
Sosialisasi Penerapan IoT dalam Sistem Irigasi Otomatis untuk Mendukung Pertanian Berkelanjutan pada Masyarakat Glumpang Tujuh – Lhoksukon Aceh Utara Kartika, Kartika; Jannah, Misbahul; Misriana, Misriana; Asran, Asran; Dewiyana, Dewiyana
Jurnal Solusi Masyarakat Dikara Vol 5, No 2 (2025): Agustus 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pertanian adalah sektor yang sangat vital bagi kehidupan masyarakat pedesaan di Indonesia, termasuk di Kecamatan Glumpang Tujuh, Lhoksukon, Aceh Utara. Meskipun tanahnya subur, pengelolaan irigasi di daerah ini masih mengandalkan sistem tradisional yang kurang efisien, menyebabkan pemborosan air, ketidakstabilan hasil pertanian, dan peningkatan biaya. Dengan adanya tantangan ini, penerapan teknologi Internet of Things (IoT) dalam sistem irigasi otomatis diharapkan dapat menjadi solusi untuk meningkatkan efisiensi penggunaan air dan produktivitas pertanian. Teknologi ini menggunakan sensor kelembaban tanah yang dapat mendeteksi kondisi tanah secara real-time dan mengatur aliran air sesuai kebutuhan tanaman. Sistem irigasi otomatis berbasis IoT dapat mengurangi pemborosan air, menghemat biaya, serta meningkatkan hasil pertanian secara berkelanjutan. Program pengabdian masyarakat yang dilakukan di Glumpang Tujuh melibatkan edukasi dan pelatihan kepada petani tentang penggunaan teknologi ini. Hasil dari penerapan teknologi ini diharapkan dapat mendukung pertanian yang lebih efisien dan ramah lingkungan. Keberhasilan program ini tidak hanya bergantung pada penerapan teknologi, tetapi juga pada keberlanjutan dan partisipasi aktif dari masyarakat, pemerintah, serta pendampingan berkelanjutan untuk memastikan manfaat jangka panjang.
Design and Implementation of Fuzzy Logic Based Intelligent Vacuum Robot System for Auto Navigation at Home Kartiks, Kartika; Jannah Br Lubis, Miftahul; Asran, Asran; Misriana, Misriana
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.15996

Abstract

The development of technology in the 4.0 era has led to the creation of various smart devices that can ease household chores, including in the field of cleaning. This rapid innovation brings significant changes such as vacuuming robots. A vacuuming robot is an innovative design to solve cleaning automatically. This research aims to design a vacuuming robot using Takagi-Sugeno fuzzy navigation and holonomic movement mapping. This innovation in the field of automation is designed to improve efficiency and accuracy in the cleaning process. This system integrates several main components: Arduino Mega 2560 as the central controller, DSM501A dust sensor for detecting dust levels with a range of 20-150 μg/m³, and HC-SR04 ultrasonic sensor for obstacle avoidance at a distance of 5 60 cm. The drive system uses an L298N motor driver to control the mecanum wheel with a PWM value of 150-250, enabling precise holonomic motion with a position error of 1.2% to 4.1%. The robot can move at a speed of 0.5 m/s in the no-obstacle condition and adjusts to 0.3 m/s when detecting obstacles, with a system response time of 1.5 seconds. Test results showed consistent performance, with maximum speed reaching 873.2 RPM without load and 714.4 RPM with load at PWM 250, while in holonomic motion testing, the robot demonstrated high accuracy in diagonal motion and 360° rotation with a position standard deviation of only 0.7 - 1.5 cm. The Takagi-Sugeno fuzzy system successfully classified the obstacle distance into three categories (near, medium, far) and regulated the motor speed between 350-1100 RPM according to the environmental conditions, proving that the integration between TakagiSugeno fuzzy algorithm and holonomic design resulted in an efficient and adaptive vacuum robot system, capable of effective navigation and cleaning while maintaining high precision in obstacle avoidance.
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.
ENERGY AUTOMATION SUPPORTS ENERGY CONSUMPTION INTENSITY IN CLASSROOMS Kartika, Kartika; Harahap, Husni Fadillah; Asran, Asran; Jannah, Misbahul; Misriana, Misriana; Suryati, Suryati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5006

Abstract

Automation of energy use to control energy consumption intensity (IKE) in classrooms is carried out using an Arduino Nano-based system. This system utilizes an IR transmitter to send signals to the air conditioning unit, a servo motor to position the IR transmitter to the appropriate air conditioning unit, a relay to control the lights, and a Real-Time Clock (RTC) module for scheduling based on a specified schedule. The main goal is to prevent energy waste and ensure comfort by turning on and off the air conditioning unit and lights according to a preset schedule. This automatic scheduling includes time setting, transmitter IR control, servo motor, relay control, and LCD. Programmed scheduling ensures that the air conditioner and lights only turn on when needed, while the LCD provides real-time information about the status of the air conditioner and lights. With this automation, the system helps reduce excessive energy consumption, drives significant energy savings, and creates a comfortable and energy-efficient learning environment. The automatic monitoring and regulation system also allows users to focus more on teaching and learning activities without having to worry about manual settings for air conditioning and lights.