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All Journal Nominal: Barometer Riset Akuntansi dan Manajemen JURNAL ECONOMIA Jurnal Pendidikan Akuntansi Indonesia REKAYASA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Tropical Biodiversity and Biotechnology Badamai Law Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Recital Review Jurnal Pengabdian Masyarakat AbdiMas Jurnal Geosains dan Teknologi TESLA: Jurnal Teknik Elektro Jurnal Teknik Elektro dan Komputer TRIAC PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Dinamika Governance : Jurnal Ilmu Administrasi Negara Prosiding Temu Profesi Tahunan PERHAPI Jambura Journal of Electrical and Electronics Engineering JURNAL SeMaRaK J-Eltrik JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Telkommil Informatics, Electrical and Electronics Engineering ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Historiography West Science Law and Human Rights West Science Interdisciplinary Studies Journal of Student Research Exploration West Science Interdisciplinary Studies Riwayat: Educational Journal of History and Humanities UPMI Proceeding Series Journal West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science Science Information System and Technology Riset Akuntansi dan Keuangan Indonesia Intelektual: Jurnal Administrasi Publik dan Ilmu Komunikasi Journal of Telecommunication and Electrical Scientific LamLaj Jurnal FORTECH INJURLENS Open Access DRIVERset Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Diana Rahmawati
University of Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences

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Design and Development of a Two-Tub Washing Machine Trainer Based on Arduino Nano Rahmawati, Diana; Alfita, Riza; Nur Rohman, Mohammad Izhandi Ifan; Nahari, Rosida Vivin; Setiawan, Heri; Setiawibawa, Rachmat; Giri, Joseph Robert
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p75-80

Abstract

A washing machine is a crucial device for society as it offers convenience and practicality. However, the efficiency of a washing machine can decline over time, especially in its components which may experience performance degradation or damage. This research involves designing a damage detection tool for washing machines, structured as a trainer operated in simulation form, serving as a learning medium to better understand the systematic functioning of washing machines. This trainer module uses toggle button switches installed on each cable line to simulate various damage conditions. The sensor used in this trainer is the PZEM-004T, which detects the current, voltage, and power used by the AC (Alternating Current) motor. To measure the motor's RPM (Revolutions per Minute) speed, a proximity sensor utilizing the Hall effect principle is employed. The microcontroller used to process the data generated by the sensors is an Arduino Nano, with the data displayed on an LCD (Liquid Crystal Display). In this research, the results based on the PZEM-004T sensor testing showed it could measure voltage, current, and power with an error rate of 7.3% and a success rate of 92.7%. The proximity sensor could measure motor speed with an error rate of 3.4% and a success rate of 96.6%. The main challenge in  the monitoring system was the real-time reading on the LCD screen frequently halting due to the long delay required to read the proximity Hall effect sensor values.
Design and Construction of an Automatic Body Weighing Scale for Classification of Pencak Silat Athlete Classes Using the Decision Tree Method Saputro, adi; faswiaf, monika; romanjavaters; rahmawati, diana; ibadillah, fiqhi; hardiwansyah, muttaqin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 10 No. 1 (2026): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v10i1.1707

Abstract

General Background: Automated athlete measurement systems are increasingly required in combat sports to support accurate classification, efficient data management, and competition validation processes. Specific Background: Conventional weighing procedures in pencak silat competitions still rely on manual measurements and independent weighing devices without integrated classification or web-based recording systems, creating risks of athlete misclassification and administrative difficulties. Knowledge Gap: Previous studies primarily focused on nutritional assessment systems using rule-based or z-score methods, while limited research has integrated automatic athlete classification, Body Mass Index (BMI) analysis, website integration, and decision tree algorithms in pencak silat competitions. Aims: This study aims to design and develop an automatic body weighing system for pencak silat athlete class classification using the decision tree method and integrated website monitoring. Results: The system utilized load cell sensors for body weight measurement and Time of Flight (ToF) sensors for height detection, while the ESP32 microcontroller processed classification and BMI calculations. Experimental results demonstrated an average error rate of 0.81% and success rate of 99.19% for body weight measurements, while height measurements achieved an average error rate of 1.52% and success rate of 98.48%. The decision tree classification results were consistent with manual calculations across athlete categories from pre-teen to adult levels. Novelty: The study integrates automatic athlete classification, BMI evaluation, sensor-based measurements, and website-based monitoring within a single decision tree framework. Implications: The proposed system supports accurate athlete verification, digital sports data management, and automated classification processes for pencak silat competitions.
Co-Authors Abdullah, Achmad Fiqhi Achmad Fiqhi Ibadillah Achmad Ubaidillah Adi Kurniawan Saputro ADI SAPUTRO Affandi, Eko Kholid Afrida Putritama Agustien, Rena Aji, Kunto Alfian, Muhammad Afif Amalia, Berliany Apriyana, Nurahman Aqiel Muhammad, Dlobith Aulia Rahmady, Muhammad Azhari Rahman, Muhammad Azima, Razy Ulul Azizah, Anisa Kurniatul Bagus Ananda Kurniawan, Bagus Ananda Bagus Santoso Basuki R, Zaky Chandra, Izhal Rio Damayanti, Vivi Dedi Hadian Dedy Prasetyo Dermawati Sihite, Dermawati Dewanti, Rengganis Putri Dhyah Setyorini Dian Juliani Dian Neipa Purnamasari Didit Hadi Barianto Diwananda Wiratama Dwiky Ariyanto, Kemas Erari, Yosua Erliyani, Rahmida Fahrus Sakariya Farah, Gusti Alya Fathia Faswia Fahmi, Monika faswiaf, monika Febriana, Iftitah Felecia Felecia Fiqhi Ibadillah , Achmad Firly Abdillah, Fauzan Geovandry, Dimas Giri, Joseph Robert Gumilar, Nugraha Hardiansyah, Muttaqin Hardiwansyah, Muttaqin Harnyoto, Harnyoto HARYANTO Haryanto Haryanto Haryanto Haryanto Heri setiawan ibadillah, fiqhi Iftitah Febriana Ismail Ismail Ismail Jamaluddin Jamaluddin Khotibul Umam Koko Joni Kunto Aji Wibisono KURIAWAN, ADI Kurniawan Saputro, Adi KUSUMA, M.KURNIAWAN HADI Mahendra Adhi Nugroho Maria . MIFTACHUL ULUM Miftachul Ulum, Miftachul Minggu, Desiderius Mirza Pramudia Moh Djazari Mohammad Kasim, Nur Muhammad , Dian Purnomo Muhammad Iqbal Maulana Mursalin, Arisandy Najib Jauhari Nanda Muhendra Data Nur Rohman, Mohammad Izhandi Ifan Prasetyo, Galih Adhi Prasetyo, Kevin Adi Priyanto, Aria Aji Putra, Rahendra Rachmadi Usman, Rachmadi Rachmat Setiawibawa Rahardjo, Wartono Rahman, Eko Taufikur Ramadhaniah, Putri Rasyid, Moch Fadlian Restu Winarni, Restu Resty Intan Putri Rinaldi, Ahmad Rizal Riza Alfita Riza Alfita, Riza Alfita Rocky Aiman romanjavaters ROSIDA VIVIN NAHARI Ruroh, Farida Mas Said, Akhdan Nur Saprudin Saprudin, Saprudin Saputra, Ahmad Reza Sholeh Abdullah, Wahyu Sihite, Dermawatie Subekti, Arif Sugeng Sapto Surjono Sukirno Sukirno Sukri, Hanifudin Syahrida, Syahrida Tavinayati Tavinayati, Tavinayati Tri Laksono, Deni Tyas, Kusumaningtyas Ubaidillah Ms, Achmad Ubaidillah, Achmad Wahyuni, Ardian Yudhiyati, Ratna Yulia Qamariyanti Zakiyah Zakiyah Zarkasyi, Ach