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All Journal Journal of Data Analytics, Information, and Computer Science (JDAICS) International Journal of Education, Vocational and Social Science
Juma’in, Juma’in
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Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PERANCANGAN SISTEM MONITORING METERAN AIR MENGGUNAKAN SENSOR WATER FLOW PADA RUMAH TANGGA Juma’in, Juma’in; Zaenudin, Zaenudin; Efendi, Muhamad Masjun; Samsumar, Lalu Delsi
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 4 (2024): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v1i4.1305

Abstract

Air adalah sumber daya yang sangat vital untuk kehidupan sehari-hari, terutama dalam aktivitas rumah tangga. Penggunaan air di rumah tangga sering kali digunakan untuk berbagai keperluan seperti memasak, mencuci, mandi, dan aktivitas lainnya. Namun, distribusi air di rumah tangga saat ini masih mengandalkan meteran air konvensional, yang hanya memberikan informasi tentang volume penggunaan air tanpa menyajikan data biaya penggunaan secara rinci dan real-time. Penelitian ini bertujuan untuk merancang sistem pemantauan meteran air berbasis Internet of Things (IoT) pada rumah tangga. Sistem ini menggunakan ESP8266 sebagai mikrokontroler dan modul WiFi, sensor water flow, serta solenoid valve untuk mengukur debit air dan menghitung biaya penggunaan air secara real-time serta otomatis melalui aplikasi Blynk. Hal ini memungkinkan pengguna untuk lebih mudah memonitor dan mengontrol penggunaan air. Penelitian ini menggunakan pendekatan kualitatif dengan prinsip 5W+1H untuk mengumpulkan informasi dan data terkait. Metode penelitian yang digunakan adalah metode prototipe untuk pengembangan perangkat keras dan lunak sistem. Hasil penelitian menunjukkan bahwa sistem pemantauan meteran air ini membantu meningkatkan efisiensi pengguna dalam memantau dan mengendalikan penggunaan air secara real-time
Analysis of the Application of Lean Maintenance to Optimize Transformer Maintenance Duration at MRO Company PT. Servo Indonesia Perkasa Juma’in, Juma’in; Rosalendro Eddy Nugroho
International Journal of Education, Vocational and Social Science Vol. 3 No. 03 (2024): August, International Journal of Education, Vocational and Social Science( IJV
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v3i03.1066

Abstract

This study was conducted with the aim of identifying the causes of waste that cause delays in the completion of Maintenance, Repair and Overhaul Transformer work carried out by PT SIP, to determine recommendations and proposals for appropriate improvements to overcome waste during the implementation of Maintenance, Repair and Overhaul Transformer activities carried out by PT SIP, and to evaluate the implementation of lean maintenance to overcome waste that causes delays in the completion of Maintenance, Repair and Overhaul Transformer work carried out by PT SIP. The method used in this research is the Quantitative Descriptive method. The results showed that CSM Analysis at eight stages of Pre Shutdown to Energize activities identified waste such as delays in HSE approval, material mismatches, lack of labor skills, slow delivery of samples, and unavailability of adequate personal protective equipment. Proposed improvements include parallel work, moving manpower to other activities, ensuring the availability of tools and parts, and modifying delivery schedules and locations for temporary placement of parts to optimize the duration of the Inspection & Overhaul stage. The implementation of Lean Maintenance at PT SIP reduced the overhaul duration to 297 hours, improved labor effectiveness, ensured spare parts readiness, increased productivity through ISO 45001, and kept SOPs and Work Instructions (IK) complete and up-to-date, all of which contributed to OHS risk management and operational efficiency.
Co-Authors Efendi, Muhamad Masjun Lalu Delsi Samsumar, M.Eng. Rosalendro Eddy Nugroho Zaenudin Zaenudin