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Journal : Jurnal E-Komtek

Making an Arduino Uno R3 Trainer as A Learning Support Tool in The Electronics Study Program Jati Sumarah; Ajeng Tiara Wulandari; Asni Tafrikhatin; Juri Benedi; Akrim Rakhmatika Pambudi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1750

Abstract

Microcontroller technology is increasingly developing, so studying it requires a real device. The learning process for microcontroller practice at the Piksi Ganesha Indonesia Polytechnic Campus does not yet have sufficient tools, especially for Arduino Uno practice. The research aims to create a tool or trainer about Arduino Uno so that it can be used to support microcontroller learning in the Electronics Engineering Study Program. The research method uses Research & Development with stages including potential and problems, information gathering, product design, design validation, design improvement, product testing, and product revision. The research results are an Arduino Uno trainer with three inputs and three outputs. It is hoped that users can more easily understand the basics of microcontrollers with the media created.
Water Turbidity Detection Device Using Turbidity Sensor Based On Arduino Uno Noviasari, Linda; Asni Tafrikhatin; Juri Benedi; Vicky Oby Syahputra
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2219

Abstract

A water turbidity detector using an Arduino Uno based turbidity sensor is a solution to measure water turbidity. The turbidity sensor functions to measure the level of water turbidity by detecting dissolved solid particles in it. The use of Arduino Uno as the main microcontroller, turbidity sensor to measure the level of turbidity and the results can be displayed clearly on the LCD. The main advantage of this tool is its ability to provide information about water turbidity. The integrated LED and Buzzer also provide notification if the water turbidity level has been set. In addition, the simplicity of use and integration between the turbidity sensor, Arduino Uno, LED, LCD, and buzzer on one microcontroller board provides convenience for users. The outputs of this system are LCD, LED and buzzer, and the entire input-output system is integrated by one arduino uno microcontroller board. This system is designed to assist users in detecting turbidity using a turbidity sensor. Based on testing, the success rate of this system is 93.27%.
Design And Construction of a Non-Contact Body Temperature Measuring Device Using the Mlx90614 Sensor Based on Nodemcu and the Blynk Application Asni Tafrikhatin; Ajeng Tiara Wulandari; Juri Benedi; Intan Maharani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2968

Abstract

Body temperature is an important indicator for monitoring a person's health condition. The average normal human body temperature ranges from 36–37°C. Changes in body temperature, whether hyperthermia or hypothermia, may indicate infections or metabolic disorders, making accurate and practical measurement methods essential. Conventional contact thermometers have limitations, such as long measurement times and user discomfort. To overcome these issues, a non-contact body temperature measurement system was designed using an infrared sensor. This sensor works by detecting thermal radiation emitted from the body’s surface without requiring direct skin contact. The device utilizes the MLX90614 infrared sensor, an ultrasonic sensor for distance detection, and a switch as an on/off control. Measurement results are displayed on an OLED screen and can be monitored via a smartphone through the Blynk platform. Based on testing, the non-contact body temperature measurement device achieved an accuracy level of 99.3%.