Integrasi Sistem Kendali Beban Listrik dan Absensi Berbasis RFID untuk Efisiensi Energi di Lingkungan Perguruan Tinggi.
Keywords:
RFID, energy efficiency, automated attendance, smart classroom, electricity savings
Abstract
Electricity constitutes a fundamental and indispensable resource within higher education institutions, as a substantial majority of both academic and administrative operations are profoundly dependent on electrical energy. Given the persistent escalation in electricity tariffs and the increasing proliferation of electrical devices, there exists a pressing necessity for technological innovations that facilitate energy conservation and enhanced efficiency. This research endeavor seeks to devise and implement a system that fosters optimal electricity utilization by amalgamating RFID-based technology with an automated attendance detection framework. The system functions autonomously by documenting attendance through the identification embedded in the national e-KTP chip, which concurrently unlocks the classroom door and activates electrical devices such as illumination, air conditioning units, and projectors. The findings of the research demonstrate a 100% efficacy in device functionality and an approximate annual electricity conservation of IDR 3,000,000 per room. This system represents a promising technological advancement for improving energy efficiency while simultaneously contributing to the digital metamorphosis of academic services within universities
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Renaldo, Aribowo, A., & Putra, A. S. (2021). Lecturer and Student Attendance System with RFID. Journal of Physics: Conference Series, 1858(1). https://doi.org/10.1088/1742-6596/1858/1/012063
Sajida. (2022). Mapping Trends of Literature in Energy Policy in Indonesia: A Bibliometric Analysis Sajida. Policy & Governance Review |, 6, 17–39. https://doi.org/10.30589/pgr
Saxena, A., Tyagi, M., & Singh, P. (2018). Digital Outing System Using RFID And Raspberry Pi With MQTT Protocol. 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–4. https://doi.org/10.1109/IoT-SIU.2018.8519923
Tiara. (2017a). Energi Listrik. Universitas Pendidikan Ganesha, 17(1), 11–22.
Zhao, M., Zhao, G., & Qu, M. (2022). College Smart Classroom Attendance Management System Based on Internet of Things. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4953721
Dahroni, A., Putra, E., & Pratama, M. F. (2019). Perancangan Multimedia Interaktif Untuk Kampanye Penghematan Energi Listrik Rumah Tangga. In Kilat (Vol. 8, Issue 1). https://doi.org/10.33322/kilat.v8i1.364
Daniel Tetteh. (2023). Energy Waste in Public Universities: A Study on Alternative Energy and Best Practices. International Journal of Innovative Research and Development. https://doi.org/10.24940/ijird/2023/v12/i3/mar23021
Armanda, R. M., & Abdul, Moh. (2023). EFISIENSI ENERGI PENCAHAYAAN TERHADAP MANAJEMEN BIAYA OPERASIONAL GEDUNG. Seminar Keinsinyuran Program Studi Program Profesi Insinyur, 3(1). https://doi.org/10.22219/skpsppi.v3i1.6609
Farag, W. A., & Abouelela, M. (2022). Low-Cost Active Monitoring of Attendance using Passive RFID Technology. Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika, 8(4), 552. https://doi.org/10.26555/jiteki.v8i4.25168
Joel Panjaitan, S.T., M. T. (2019). Rancang Bangun Genset Otomatis Menggunakan Kontaktor Dengan Tenaga Baterai 12 V, 50 Ah. Perancangan Dan Pembuatan Penyemprot Hama Pada Tanaman Padi Secara Otomatis Dengan Informasi Sms Gateway Berbasis Arduino, 1–12.
Kartikasari, F. D., Tarigan, E., Fransiscus, Y., & Lidyawati, T. (2018). Energy Saving Measures and Potential of Energy Efficiency at the University of Surabaya, Based on EDGE Simulation. Proceedings - 2018 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018, 89–92. https://doi.org/10.1109/ICITACEE.2018.8576925
Khamdilah, A. (2021). Peran Konsep Pembelajaran Wiring Diagram Kelistrikan Sebagai Pendekatan Dasar Terhadap Kemudahan Dalam Pemahaman Pembelajaran Programmable Logic Controllers (PLC). Prosiding Seminar Nasional, 3(1), 12–18. http://e-journal.akpelni.ac.id/index.php/prosiding-nsmis/article/view/178/190%0Ahttp://e-journal.akpelni.ac.id/index.php/prosiding-nsmis/article/view/178%0Ahttps://e-journal.akpelni.ac.id/index.php/prosiding-nsmis/article/download/178/190
Lee, S., Kim, J., & Jang, D. (2022). Analysis of Major Temporary Electrical Equipment Consumption and Usage Patterns in Educational Buildings: Case Study. Sustainability (Switzerland), 14(17). https://doi.org/10.3390/su141710783
Li, K., Zhao, C., Niu, F., Zheng, S., Duan, Y., Huang, S., & Wu, Y. (2020). Electrical performance degradation model and residual electrical life prediction for AC contactor. IEEE Transactions on Components, Packaging and Manufacturing Technology, 10(3), 400–417. https://doi.org/10.1109/TCPMT.2020.2966516
Mahesh, G., Jayahari, K. R., & Bijlani, K. (2016). A smart phone integrated smart classroom. International Conference on Next Generation Mobile Applications, Services, and Technologies, 88–93. https://doi.org/10.1109/NGMAST.2016.31
Mathew, A., Roy, A., & Mathew, J. (2020). Intelligent Residential Energy Management System Using Deep Reinforcement Learning. IEEE Systems Journal, 14(4), 5362–5372. https://doi.org/10.1109/JSYST.2020.2996547
Paiboonsin, P., Oluleye, G., Yeganyan, R., Tan, N., Cannone, C., & Howells, M. (2023). Pathways to clean energy transition in Indonesia’s electricity sector with OSeMOSYS modelling (Open-Source Energy Modelling System). https://doi.org/10.21203/rs.3.rs-2494918/v3
Pan, J., Chen, S., Jain, R., & Paul, S. (2013). Energy sensing and monitoring framework with an integrated communication backbone in the energy efficient intelligent buildings. Applied Mechanics and Materials, 303–306, 1460–1464. https://doi.org/10.4028/www.scientific.net/AMM.303-306.1460
Pujani, V., Pawawoi, A., Akbar, F., Zuhaidi, & Nazir, R. (2020a). An electric energy reduction model for campus using the method of controlling energy consumptions. International Journal of Smart Grid and Clean Energy, 411–419. https://doi.org/10.12720/sgce.9.2.411-419
Pujani, V., Pawawoi, A., Akbar, F., Zuhaidi, & Nazir, R. (2020b). An electric energy reduction model for campus using the method of controlling energy consumptions. International Journal of Smart Grid and Clean Energy, 411–419. https://doi.org/10.12720/sgce.9.2.411-419
Ramallo-González, A. P., Bardaki, C., Kotsopoulos, D., Tomat, V., González Vidal, A., Fernandez Ruiz, P. J., & Skarmeta Gómez, A. (2022). Reducing Energy Consumption in the Workplace via IoT-Allowed Behavioural Change Interventions. Buildings, 12(6). https://doi.org/10.3390/buildings12060708
Renaldo, Aribowo, A., & Putra, A. S. (2021). Lecturer and Student Attendance System with RFID. Journal of Physics: Conference Series, 1858(1). https://doi.org/10.1088/1742-6596/1858/1/012063
Sajida. (2022). Mapping Trends of Literature in Energy Policy in Indonesia: A Bibliometric Analysis Sajida. Policy & Governance Review |, 6, 17–39. https://doi.org/10.30589/pgr
Saxena, A., Tyagi, M., & Singh, P. (2018). Digital Outing System Using RFID And Raspberry Pi With MQTT Protocol. 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–4. https://doi.org/10.1109/IoT-SIU.2018.8519923
Tiara. (2017a). Energi Listrik. Universitas Pendidikan Ganesha, 17(1), 11–22.
Zhao, M., Zhao, G., & Qu, M. (2022). College Smart Classroom Attendance Management System Based on Internet of Things. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4953721
Published
2025-06-20
How to Cite
Oktrison, Ade Chairullah, Ester Edwar, & Erwin Sipahutar. (2025). Integrasi Sistem Kendali Beban Listrik dan Absensi Berbasis RFID untuk Efisiensi Energi di Lingkungan Perguruan Tinggi. Journal Scientific of Mandalika (JSM) E-ISSN 2745-5955 | P-ISSN 2809-0543, 6(9), 3620-3630. https://doi.org/10.36312/10.36312/vol6iss9pp3620-3630
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