Bulletin of Computer Science and Electrical Engineering Vol. 3, No. 2, December 2022, pp. 106~116 ISSN: 2722-7324, DOI: 10.25008/bcsee.v3i2.1163 r 106 Journal homepage: http://bcsee.org/ Application of K-Means Clustering on School Identification in the Distribution of Assistance Funds for DPRD Members (Case Study in North Padang Lawas DPRD) Eka Hayana Hasibuan 1 , Aripin Rambe 2 , Dinur Syahputra 3 1 Informatics Study Program, Faculty of Technology, Battuta University 2 Information Technology Study Program, Faculty of Technology, Battuta University 3 Informatics Study Program, Faculty of Technology, Battuta University Article Info ABSTRACT Article history: Received Dec 03, 2022 Revised Dec 15, 2022 Accepted Dec 24, 2022 In this study, the k-means algorithm was used to group schools and categorize DPRD grants into very feasible, feasible, and impractical categories for better focus. Based on the results of computational analysis using the K-Means clustering algorithm using the Euclidean distance equation for the distribution of DPRD suction subsidies from 52 schools, 28 schools are in the very decent category and 11 schools are decent. In that category, 13 schools were found with fewer categories. executable category. RapidMiner Studio v.7.6 software can group schools based on the distribution needs of DPRD suction tools for more effective and efficient results. Keywords: Distribution DPRD School. K-Means Clustering Software RapidMiner This is an open access article under the CC BY-SA license. Corresponding Author: Eka Hayana Hasibuan, Informatics Program & Technology Information Program, Battuta University, Adress. Sekip, Adress. Simpang Sikambing Medan City Email: ekahayana@man1medan.sch.id 1. INTRODUCTION Education is the foundation and most important factor in human character and personality formation. According to current norms and regulations, education has an important task and role in shaping human character and the good and bad of personality. Faced with these problems, the government has endeavored to improve the education system as much as possible by implementing various curriculums and educational programs. For the country. Therefore, in education, in addition to the role of teachers as part of the educational process, the importance of building infrastructure and containers as an educational institution is also at the forefront. Educational institutions, including educational facilities and infrastructure, are a place for knowledge exchange and daily learning activities. Some of the government's obligations and functions related to education are closely related. When studying the above issue that the importance of aid allocation is the focus of government, especially North Padang Lawas DPRD, the K-means clustering algorithm is a good way to classify and infer expected aid allocation. Knowledge discovery in Database (KDD) is a way to get knowledge from an existing database. The database has tables that are related to each other. The results of the knowledge gained can be used as a knowledge base for decision-making purposes (Mardi, 2016). In another sense, Database