Optimizing the Selection of KIP Scholarship Recipients at STKIP Al Maksum Langkat using K-Means Clustering Method

Muhammad Hari Hasibuan, Wanayumini Wanayumini, Rika Rosnelly

Abstract


The KIP scholarship program is a form of government assistance to support the education of underprivileged students in Indonesia. STKIP Al Maksum Langkat is one of the institutions that provides the KIP scholarship program to its students. However, the selection process for scholarship recipients is still done manually and can be time-consuming and less effective. In this study, the K-means Clustering method was applied to optimize the selection of KIP scholarship recipients at STKIP Al Maksum Langkat. This method was used to group scholarship recipient data based on several variables, such as family income, number of dependents, and socio-economic background. The results showed that the K-means Clustering method can effectively group scholarship recipients based on their characteristics and assist in selecting eligible scholarship recipients. Additionally, this method can improve the effectiveness and efficiency of the scholarship selection process at the institution. Overall, this study demonstrates that the K-means Clustering method can be an effective approach to optimize the selection of KIP scholarship recipients at STKIP Al Maksum Langkat.


Keywords


Optimizing, KIP Scholaship Recipients, K-Mean Clustering Method

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References


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DOI: https://doi.org/10.30596/miceb.v1i0.383

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