Proceedings of International Conference of Islamic Studies (ICONIS 2025)

Integrating Al-Khawarizmi’s Principles in K-Means Algorithm: A Case Study of Household Electricity Access Data in Indonesia

Authors
Arinal Haq Fauziah1, *
1Universitas Islam Negeri Madura, Pamekasan, Indonesia
*Corresponding author. Email: arinaafauzi@gmail.com
Corresponding Author
Arinal Haq Fauziah
Available Online 21 September 2025.
DOI
10.2991/978-2-38476-464-8_18How to use a DOI?
Keywords
Al-Khawarizmi; K-Means algorithm; data clustering
Abstract

This study analyzes the integration of Al-Khawarizmi’s algorithmic principles into the K-Means clustering algorithm through a case study of household electricity access in Indonesia (2024). Employing a quantitative approach and algorithmic analysis, secondary data from BPS were classified using K-Means to group regions based on their levels of electricity accessibility. The findings reveal that key principles inherited from Al-Khawarizmi—such as systematic reasoning, structural simplification, applied rationality, and a quantitative-logical framework—contribute significantly to shaping the procedural logic of K-Means, enhancing the clarity and efficiency of data classification. This integration not only improves segmentation quality and result interpretability but also introduces a transhistorical perspective that bridges classical Islamic scientific heritage with contemporary data analysis practices. The study further contributes to ethical and epistemological discourse by emphasizing the incorporation of distributive justice (‘adl) into algorithmic design. These insights advance the development of a cross-civilizational, value-based computing paradigm and open avenues for future research into algorithms that are both technically robust and socially equitable.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference of Islamic Studies (ICONIS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
21 September 2025
ISBN
978-2-38476-464-8
ISSN
2352-5398
DOI
10.2991/978-2-38476-464-8_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Arinal Haq Fauziah
PY  - 2025
DA  - 2025/09/21
TI  - Integrating Al-Khawarizmi’s Principles in K-Means Algorithm: A Case Study of Household Electricity Access Data in Indonesia
BT  - Proceedings of International Conference of Islamic Studies (ICONIS 2025)
PB  - Atlantis Press
SP  - 255
EP  - 270
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-464-8_18
DO  - 10.2991/978-2-38476-464-8_18
ID  - Fauziah2025
ER  -