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All Journal International Journal of Advances in Applied Sciences TEKNIK INFORMATIKA Jurnal Kajian Manajemen Bisnis Gaung Informatika Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat IJIS - Indonesian Journal On Information System International Journal of New Media Technology Jurnal ULTIMA InfoSys Petir Majalah Ilmiah UNIKOM Jurnal Manajemen Informatika Jurnal Teknologi dan Informasi Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat JE (Journal of Empowerment) Jurnal Gema Ngabdi International Journal of Advances in Data and Information Systems Indonesian Community Service and Empowerment Journal (IComSE) International Journal Software Engineering and Computer Science (IJSECS) Teknologika Jurnal Sistim Informasi dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Novrini Hasti
Universitas Komputer Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Analysis of Household Electricity Consumption Patterns Using K-Nearest Neighbor (KNN) Method Cut Susan Octiva; Sultan Hady; Dedy Irwan; T. Irfan Fajri; Novrini Hasti
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3877

Abstract

The increasing demand for electricity in the household sector poses significant challenges to energy efficiency initiatives and environmental conservation efforts. Examining electricity usage patterns offers a pathway to uncover key determinants that influence consumption levels while formulating more effective strategies for energy management. This study attempts to evaluate electricity consumption patterns in the household sector using the K-Nearest Neighbor (KNN) algorithm. This approach is used to categorize consumption data based on attribute similarities among household units. The findings are expected to encourage more rational electricity usage practices, thereby reducing energy inefficiencies and strengthening efforts to conserve natural resources. Furthermore, the analysis aims to provide actionable insights for households to adopt sustainable habits and for policymakers to design targeted interventions that address peak demand periods and promote the use of energy-efficient technologies. By identifying specific behavioral and technological factors that contribute to high consumption, the results can serve as a basis for tailored programs aimed at minimizing waste and promoting long-term environmental management.
Co-Authors Agus Nursikuwagus Andri Sahata Sitanggang Aprih Santoso Asri Ady Bakri Bondan Rachmat Santoso Cut Susan Octiva Dani Setiadi Dedy Irwan Dicky Jhon Anderson Butarbutar Febilita Wulan Sari Irwin Tenrysau Iyan Gustiana Iyan Gustiana KUSNADI, DONI ROMDONI Lusi Melian Lusi Melian Mohamad Indra Firmansyah Mubaroq, S R Muhammad Daffa Shidiq Muhammad Ibnu Hamdani Muhammad Inal Zaelani Muhammad Lukman Hakim Novi Fitri P Novi Rahayu Nurlaili Rahmi Nursalim Osvaldo Silitonga Pasya, Dhara R Fenny Syafariani Rahayu, Novi Reza Fahlevi Ahmad Riswan Fitriyandi Riyan Maulana Robecca, Julian Sakina Fikry Nurjannah Sandi Sandi Sanjoyo, D D Santoso, Bondan Rachmat Selvia Kanti Rahayu Shidiq, Muhammad Daffa Siswahyudianto Siswantoro, Yostyo Sofiani, Ratna Imanira Sultan Hady Suluh Sri Wahyuningsih Syafriharti, Romeiza Tine Agustin Wulandari Tono Hartono W Wahyuni, W wahyuni wahyuni Wartika . Wasiran Wasiran Yusuf Unggul Budiman