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All Journal Jurnal Rekayasa Sistem Industri Jurnal Simetris Jurnal Teknologi JAIS (Journal of Applied Intelligent System) Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Informatika Upgris Buletin Ilmiah Sarjana Teknik Elektro JE-Unisla Jurnal Teknik Elektro Uniba (JTE Uniba) SEMAR Jurnal Dialektika Informatika (Detika) Journal of Science and Education (JSE) Muria Jurnal Layanan Masyarakat ABDINE Jurnal Pengabdian Masyarakat Jurnal Elektro Kontrol (ELKON) GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Teknik Elektro dan Komputer Jurnal Muria Pengabdian Masyarakat Media Elektrik
Budi Cahyo Wibowo
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Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Media Elektrik

 1 
STEPPER MOTOR CONTROL ANALYSIS USING ACCELERATION – DECELERATION METHOD BASED ON PLC (PROGRAMMABLE LOGIC CONTROL) Budi Cahyo Wibowo; Mohammad Dahlan; R. Rhoedy Setiawan
Jurnal Media Elektrik Vol. 21 No. 1 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v21i1.558

Abstract

Stepper motors are one of the motor variants that are widely used in the manufacturing sector. Stepper motors have the characteristic of being able to be controlled both speed and position control in an open loop control system. The method used to control the rotation of the stepper motor is to send a series of electrical pulses with a configuration of frequency values and number of electrical pulses so that the stepper motor can control the rotational speed and angular position of the motor. Acceleration-deceleration control applies a method of gradually changing the frequency of electrical pulses by increasing the frequency every 4mS until it reaches the target frequency value. By applying the acceleration-deceleration method, the stepper motor is capable of rotating at a speed of up to 3000 rpm and the motor rotation angle position is from 10o-360o precisely, this acceleration-deceleration method can rotate the motor at a controlled speed of up to 3000 rpm.
PROTOTYPE OF FLOOD EARLY WARNING SYSTEM (EWS) USING TELEGRAM BROADCAST MESSAGE NOTIFICATION Budi Cahyo Wibowo
Jurnal Media Elektrik Vol. 21 No. 2 (2024): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v21i2.1814

Abstract

Flooding has until now become a serious problem in various regions in Indonesia. Flooding is a problem that occurs due to increasing the volume of excess water in rivers that are influenced by human activities that are not friendly to the environment. Floods have quite a lot of negative impacts, one of which is the damage to community facilities and infrastructure. Community preparedness is needed to reduce the negative impact of the flood. One solution that can be done is to design a flood Early Warning System (EWS) as a tool in detecting water levels before the arrival of flood hazards. Mitigation activities need to be complemented by a monitoring system based on the environmental conditions of the surrounding community. This research aims to make a prototype of a flood early warning system that is easy to operate and effective to detect the arrival of floods. In the prototype there is a level switch sensor that can detect high movements of water levels in the watershed. High level information on the water level is then sent periodically in the form of notifications via telegram to the smartphones of community residents whose numbers are registered in the system. From the test results, the ultrasonic sensor obtained 98.7% read accuracy results and a delay time in sending telegram notifications of 3-5 seconds.
IoT-BASED AIR QUALITY MONITORING SYSTEM IN BROWN SUGAR PRODUCTION PROCESS Wibowo, Budi Cahyo; Solekhan, Solekhan; Susanto, Arief; Setiawan, Hera
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.7783

Abstract

Air is one of the sources of human life that can be obtained freely. Good or bad air quality can affect human health and activities. The brown sugar production process often causes air pollution that endangers the surrounding environmental conditions. Based on this problem, in this study, an air quality monitoring system and early warning of air pollution were made. This study focuses on air quality monitoring, namely by detecting the level of harmful gases in the air, equipped with a DHT11 sensor to determine temperature and humidity values, and an MQ-135 sensor to determine the content of harmful gases in the air. Then the value of each sensor data is uploaded to the cloud and monitored in real-time using the IoT Platform. The methods used were to design and manufacture hardware and software for monitoring air temperature and humidity and gas content in the air, calibrating the DHT11 sensor, and testing the performance of the MQ-135 sensor as well as testing the overall system performance. The results showed that the calibration of the DHT-11 sensor had an accuracy rate of 99.7% and an error rate of 0.3%, and the MQ-135 sensor was able to detect the gas content in the air optimally. The results of air quality monitoring in the brown sugar production process obtained that the value of the hazardous gas content exposed to the air is 2300 ppm (CO, CO2, NOx, PM10), From the results of this air quality monitoring, the pollutant gases produced from the production of brown sugar are declared to be poor air quality.   This air quality monitoring and air pollution early warning system can provide information about the air conditions around the brown sugar production area in real-time.
Automated Meter Reader (AMR) PAMSIMAS Using OCR Technology and Smartphone Utilization Wibowo, Budi Cahyo; Susanto, Arief; Solekhan, Solekhan; Slamet, Sugeng
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.10954

Abstract

Manual recording of water meters in the Community-Based Drinking Water and Sanitation Program (PAMSIMAS) is still vulnerable to human error, reporting delays, and operational inefficiencies. This study proposes a smartphone-based Automated Meter Reader (AMR) system that utilizes Optical Character Recognition (OCR) as a low-cost digital solution for rural environments. The system uses a smartphone camera to capture an analog water meter image and processes it through a computer vision pipeline that includes grayscale conversion, bilateral filtering, Canny edge detection, contour-based segmentation, and a full-image OCR fallback mechanism. An experimental evaluation was conducted on 120 analog water meter images with variations in lighting, capture angle, blur level, and meter surface conditions. Digit extraction was performed using Google Vision OCR (online) and Tesseract OCR (offline). The OCR accuracy was calculated based on the compatibility of the digit value of the recognition result with the ground truth value and complemented by confidence score analysis. The test results showed an average OCR accuracy of 91%, a confidence score of 0.87, and an average processing time of 1.27 s per image. Although the system showed stable performance in most test scenarios, the accuracy declined in strong glare conditions and with faulty meters, indicating the limitations of the contour-based segmentation approach. Overall, this smartphone-based AMR system has proven to be feasible and practical for supporting the digitization of community-based water management, with the potential for further development through deep learning-based segmentation.
Co-Authors - Supriyono Abimael, Yason Aji Praftama, Meriandi Relnaldo Andy Prasetyo Utomo Arief Susanto Arifin, Bustanul Asri, Vikha Indira Bellachintya Reira Christata Bustanul Arifin Deny Cahyanto Diana Laily Fithri Diana Laily Fithri Diana Dina Tauhida Fajar Nugraha Hera Setiawan Imam Abdul Rozaq Imam Abdul Rozaq Imam Much Ibnu Subroto Kusnanda, Diva Fauza Laily Fithri, Diana Maula, Muhammad Hilal Maulana, Alam Mohammad Dahlan Mohammad Dahlan, Mohammad Mohammad Iqbal Muhammad Dahlan Nafi’ Inayati Zahro Noor Latifah Noor Latifah Noor Yulita Dwi Setyaningsih Pratama, Tredi Pratama, Tredi Pratama Putra, Selamet Adi R Rhoedy Setiawan Rahma Ningsih Ratri Rahmawati Riswandha, Rio Setiawan, Riyan _ Sokhibi, Akh. Solekhan - Solekhan Solekhan Solekhan, Solekhan Solekhan Sugeng Slamet Tredi Pratama Pratama Tri Listyorini Wawan Kurniawan Yulita Dwi Setyaningsih, Noor Yusva, Andre Maulana