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All Journal IJID (International Journal on Informatics for Development) Journal of Vocational Education Studies JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Signal and Image Processing Letters
Muchlas Muchlas
Staf peneliti Balai Penelitian Tanaman Pangan Bogor, Sub Balai Penelitian Tanaman Rempah dan Obat Natar, Sub Balai Penelitian Hortikultura, Jeneponto
Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Signal and Image Processing Letters

 1 
Microcontroller-based Soft Starter and Overcurrent Detector for Enhancing Performance of Induction Motor Lestiana, Leila; Muchlas, Muchlas; Sutikno, Tole
Signal and Image Processing Letters Vol 6, No 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i1.92

Abstract

When an induction motor starts up, it draws a large current, which can damage it and cause a voltage dip effect that interferes with other electrical equipment. The machine, however, has numerous applications, particularly in the industrial sector, due to its low cost, robustness, and dependability. Induction motor performance must be improved to reduce starting current surges and protect against overcurrent. Thyristors are used in the developed system to control the voltage level. The microcontroller's trigger pulse causes a ramp-up in supply voltage, resulting in a soft-starting effect in a 1-phase induction motor. The system detects overcurrent using the popular current sensor module. This research results in a high-performing soft starter and overcurrent detector. When compared to supplying the motor directly online, the soft-starter unit can reduce the starting current by 55%. Meanwhile, the embedded overcurrent detector performs admirably, accurately detecting motor overcurrent and cutting off the power supply when the motor reaches overcurrent.
Parking System Using Nodemcu Microcontroller Based Infrared Sensor Arifin, Muhammad; Muchlas, Muchlas
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.74

Abstract

Vehicles are one of the important things in supporting the mobility of people and goods quickly, safely and comfortably. Cars are one of the most widely used types of vehicles because they can accommodate many people or goods. This study aims to make a prototype of an organized parking lot so that it is easier for car users to find parking. The system in this study uses a NodeMCU microcontroller as the controller. Infrared sensors are used as sensors to detect the state of the parking area. The system has two outputs in the form of an LED and a website. Infrared sensors can detect all parking area conditions, LEDs run according to parking area conditions, and the website can be used as remote monitoring of the parking area of this system. Parking area users can easily find an empty parking area.
Smart Fan Using Room Temperature Sensor and Human Movement Ciputra, Tri Yuga; Muchlas, Muchlas
Signal and Image Processing Letters Vol 5, No 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i1.60

Abstract

Fans are electrical equipment that people often need in their daily lives. Fans that are available in the market generally use a manual button to turn it on and off. It is necessary to develop a system so that the fan can be turned on automatically without the need to press a button on the fan. The system designed in this study has PIR, LM35 and Ultrasonic sensor devices, while the control uses an Arduino Uno microcontroller. PIR testing is done by measuring the sensor output for each input object movement. The LM35 sensor was tested by comparing the temperature measurement results obtained with the measurement results using a standardized digital thermometer. The ultrasonic sensor is tested by comparing the detected distance reading to the actual distance using a ruler placed under the sensor. Overall system testing is done by observing the fan rotation for each given input parameters. The criteria used are if there is human movement and the room temperature is above 28 0C and the object distance is less than 16 cm, then fan 1 and fan 2 rotate simultaneously. Another criterion, if the temperature is below 28 0C, then fan 1 turns off even though there is human movement and fan 2 remains on because the object distance is limited to less than 16 cm. The results showed that the system had worked well, namely fan 1 and fan 2 had behaved according to the specified criteria. This system is expected to be used to assist humans in operating the fan automatically based on room temperature, human movement, and human distance.
Co-Authors Achsan, Bambang Nor Andini, Yunita Dwi Budi Santosa Budi Santosa Budiastuti, Pramudita Ciputra, Tri Yuga Indra Saputra Indriati*, Kurnia Jumintono, Jumintono Lestiana, Leila LUTHFATUN NISA Muhammad Arifin Sahria, Yoga Sayuti, Muhammad Tole Sutikno Tri Kuat, Tri Utaminingrum, Fitri