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All Journal Indonesian Journal of Electronics and Instrumentation Systems Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi CYCLOTRON Multitek Indonesia : Jurnal Ilmiah Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Nasional Teknik Elektro dan Teknologi Informasi POLIGRID
Novendra Setyawan
Universitas Muhammadiyah Malang
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Journal : Jurnal Elektronika dan Telekomunikasi

 1 
A SIMPLE REAL-TIME ENERGY ANALYTICS MODEL FOR SMART BUILDING USING OPEN IOT PLATFORMS Nasar, Muhammad; Setyawan, Novendra; Faruq, Amrul; Sulistiyowati, Indah
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
A Simple Real-Time Energy Analytics Model for Smart Building Using Open IoT Platforms Muhammad Nasar; Novendra Setyawan; Amrul Faruq; Indah Sulistiyowati
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
Co-Authors Ali Mukti Amrul Faruq Amrul Faruq Anggar Kusuma Basri Noor Cahyadi Bella Retno Diding Suhardi Dwi Nur Fajar Erdiaz Rakha Praditya Ermanu Azizul Ermanu Azizul Hakim Fadhila Milenasari Ghufron Wahyu Kurniawan Haris Rahmana Putra Ilyas Hamzah Alkatiri Indah Sulistiyowati Julianto Muchtadirul Hasan Khusnul Hidayat Komarudin Achmad Leonardo Kamajaya Machmud Effendy Mardiyah, Nur Alif Mardiyah, Nuralif Mas Nurul Achmadiah Mas Nurul Achmadiah Merinda Lestandy Mohammad Chasrun Hasani Muhammad Faris Pradana Muhammad Ikhwanul Khair Muhammad Nasar Nasihol Fattah Nur Alif Mardiyah Nuralif Mardiyah Nuralif Mardiyah Nurhadi Nurhadi Nurhadi, Nurhadi Rahayu Pandunengsih Retno, Bella Syachbani Amin Hidayat Syafaah, Lailis Tamadar Al Ghufran Yudawan Hidayat Zulfatman Zulfatman Zulfatman