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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan ELKHA : Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi dan Sistem Komputer INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Infotekmesin Journal of Robotics and Control (JRC) Jurnal E-Komtek Jurnal Berdaya Mandiri MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Madani : Indonesian Journal of Civil Society Journal of Applied Smart Electrical Network and System (JASENS) E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Journal of Electronics Technology Exploration (JOeTEx) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Sugeng Dwi Riyanto
Politeknik Negeri Cilacap
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Rancang Bangun Alat Estimasi Nilai Lumen Lampu Berbasis Internet of Things dengan Aplikasi Android Blynk Feri Ardiansah; Vicky Prasetia; Hera Susanti; Arif Ainur Rafiq; Sugeng Dwi Riyanto
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2867

Abstract

The development of lighting technology, particularly LED lamps, drives the need for light intensity testing (lumen) to ensure quality and energy efficiency. The SNI IEC 62612:2016 standard establishes testing parameters that must be met, but field testing processes are still largely manual and inefficient. This research aims to design and realize an Internet of Things (IoT)-based lamp lumen value testing tool with results displayed on an Android application as a practical and automated solution. The tool is designed according to the SNI IEC 62612:2016 standard, equipped with a BH1750 sensor to measure light intensity (lux), a PZEM-004T sensor to measure voltage and current, and an MLX90614 sensor to measure lamp surface temperature. The testing process is performed automatically using a NodeMCU ESP32 microcontroller, with measurement results displayed on a 20x4 LCD and transmitted to the Blynk application on Android in real-time. Testing on 16 LED lamp samples from various brands and powers showed that the system has high accuracy with average BH1750 sensor accuracy of 98.78%, MLX90614 sensor accuracy of 99.74%, PZEM-004T sensor accuracy for voltage of 99.9% and current 100%, as well as error-free data transmission to Android applications. This tool successfully performs lumen testing automatically, accurately, and efficiently according to national standards.
Co-Authors ., Zaenurrohman Afrizal Abdi Musyafiq Agus Santoso Arif Ainur Rafiq Arif Ainur Rafiq Arif Ainur Rafiq Arif Sumardiono Bagas Dwi Aprilas Bahasa Indonesia Bayu Aji Girawan Erna Alimudin Fadhillah Hazrina Fadlian Adam Feri Ardiansah Hendi Purnata Hera Susanti Hera Susanti Julian Nurachman Wijaya Khoeruddin Wittriansyah Wittriansyah Kurniawan, Ipung Misti qurniatun Muhamad Yusuf Muhamad Yusuf Muhamad Yusuf Muhamad Yusuf Yusuf Muhamad Yusuf, SE., M.Si. Novita Asma Ilahi Prasetya, Vicky Prihantara, Andesita Pujono Pujono Purwiyanto Purwiyanto Purwiyanto Purwiyanto Purwiyanto Purwiyanto, Purwiyanto Rafiq, Arif Ainur Ratna Wardani Riyani Prima Dewi Rizki Priya Pratama Robbihim Nurdiansyah Rohman, Wahid Nur Rostika Listyaningrum Supriyono Supriyono Supriyono Supriyono Susanti, Hera Vicky Prasetia Vicky Prasetia Vicky Prasetia Wahid Nur Rohman Zaenurrohman Zaenurrohman