Enhancing Energy Visibility: A Real-Time Power Monitoring System via Web Scraping and NoSQL

Authors

  • Moeljono Widjaja Universitas Multimedia Nusantara
  • Rahmi Andarini Universitas Multimedia Nusantara

DOI:

https://doi.org/10.31937/sk.v18i1.4647

Abstract

Modern industrial power meters are often equipped with Ethernet ports, providing web-based interfaces for real-time monitoring. However, automating data extraction from these interfaces for long-term analysis can be challenging without costly proprietary software. This paper presents a systematic design for an energy logging system that utilizes a web scraping approach to systematically retrieve data from power meter web APIs. The system is implemented using a Python-based scraping script deployed on a Raspberry Pi and utilizes a MongoDB database for scalable data storage and subsequent load profile visualization. Experimental results from an installation at the Universitas Multimedia Nusantara campus demonstrate the system’s ability to effectively monitor high-load Mechanical Ventilation and Air Conditioning (MVAC) systems, providing critical insights into peak consumption periods and operational efficiency. This low-cost, automated solution facilitates data-driven energy management and supports institutional energy-saving initiatives.

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Author Biography

Rahmi Andarini, Universitas Multimedia Nusantara

Rahmi Andarini is an assistant professor at the Engineering Physics Department, Universitas Multimedia Nusantara. She received Austrian Scholarship (OEAD) in 2007 and completed her doctoral degree (Dr.techn) from Graz Institute of Technology (Technische Universtaet Graz/TU Graz) in 2010. She also awarded Australian Development Scholarship from Australian Government in 1999, and obtained her master degree (M.EngSc) in 2001 from the University of New South Wales, Sydney. She obtained a bachelor degree in Engineering Physics from Institut Teknologi Sepuluh Nopember Surabaya. Her research interests are primarily in the area of energy management system, heat transfer for building, indoor air quality and environment comfort, thermal building simulation and energy audit. She can be contacted by email at: rahmi.andarini@lecturer.umn.ac.id

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Published

2026-06-29

How to Cite

Widjaja, M., & Andarini, R. (2026). Enhancing Energy Visibility: A Real-Time Power Monitoring System via Web Scraping and NoSQL. Ultima Computing : Jurnal Sistem Komputer, 18(1), 45–52. https://doi.org/10.31937/sk.v18i1.4647

Issue

Vol. 18 No. 1 (2026): Ultima Computing: Jurnal Sistem Komputer

Section

Articles

License

Copyright (c) 2026 Moeljono Widjaja, Rahmi Andarini

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