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All Journal International Journal of Electrical and Computer Engineering Dinamik Jurnal Masyarakat Informatika Jurnal Ekonomi, Bisnis dan Kewirausahaan (JEBIK) Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Informatika Jurnal Teknologi Prosiding SNATIF Syntax Literate: Jurnal Ilmiah Indonesia J I M P - Jurnal Informatika Merdeka Pasuruan Systemic: Information System and Informatics Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JATI (Jurnal Mahasiswa Teknik Informatika) E-Link: Jurnal Teknik Elektro dan Informatika Indonesian Journal of Electrical Engineering and Computer Science Quantum Teknika Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Digit : Digital of Information Technology Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal Dialektika Informatika (Detika) Journal La Multiapp Langit Biru: Jurnal Ilmiah Aviasi Muria Jurnal Layanan Masyarakat Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Neurona Jurnal Ilmiah Nusantara Media Elektrik Jurnal Bina Informatika dan Komputer (BINER)
Arief Susanto
Universitas Muria Kudus
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Journal : Media Elektrik

 1 
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 Aditya Akbar Riadi Agung Subagyo Agung Subagyo, Agung Ahmad Kharis Ahmad Lutfi Hakim Alifiana, Mia Ajeng Aminatus Syarifah Anastasya Latubessy Andi Azhari Andrianto - Andrianto - Apriliyanti, Nurul Falah Ariqi, Hafizh Lukman Asri, Vikha Indira Azhari, Andi Bakhar, Muhamad Budi Cahyo Wibowo Chandra, Fitria Choirozaq, Ahmad Didi Susilo Budi Utomo Dwimaelani, Riska Eko Nur Wahyudi Evanita Evanita, Evanita Fadhilah, Norma Fernanda Hendra Priyono Hanun Dhiya Reswara, Rasyida Hera Setiawan Herny Februariyanti Herny Februariyanti Hitten, Akhmad Holyness Nurdin Singadimedja Imam Syafaat Imran, Darma Kharis, Ahmad Khoirul Anam, Raikhan Kirana, Dinar Mersasi Maharani, Kartika Miftha Ainul Chamida Mohammad Dahlan, Mohammad Muhamad Eko Muhammad Afandi Muhammad Afandi Muhammad Dahlan Muhammad Hadi Noor Seto, Muhammad Hadi Muhammad Imam Ghozali Muhammad Malik Hakim, Muhammad Malik Muhammad Noor Fais Muhammad Noor Fais Murniawati, Mita Nafi’ Inayati Zahro Ningrum, Diah Ayu Cahya Nofiadi, Selamet Nofiadi, Selamet Pegianti, Nanda` Ratih Nindyasari Remana Sitinjak, Monalisa Remo Prabowo Remo Prabowo, Remo Rihartanto Rihartanto Rihartanto Rihartanto RISMIYATI RISMIYATI Riwanti Estiasari Riyadi, Aditya Akbar Rizal, Ansar Rizky Sari Meimaharani Sari, Fadia Karlika Sokhibi, Akh Solekhan Solekhan Sugeng Slamet Sugiarto, Elmalia Risma Putri Sugiyamto Sugiyamto, Sugiyamto Syirojuddin, Ahmad Idris Tri Listyorini Tutik Khotimah Wardatul Khafidhah Wibisono, Wahyu Bagus Wulandari, Gilang Ayu Yenni Arnas Zulham Hidayat