Indonesian Journal of Artificial Intelligence and Data Mining
Vol 7, No 1 (2024): March 2024

Improving K-Means Clustering Accuracy for Academic Success Investigation With Extreme Gradient Boosting Algorithm

Irma Darmayanti (Universitas Amikom Purwokerto)
Laily Farkhah Adhimah (Universitas Amikom Purwokerto)
Rizki Sadewo (Universitas Amikom Purwokerto)
Nurul Hidayati (Universitas Amikom Purwokerto)
Pungkas Subarkah (Universitas Amikom Purwokerto)



Article Info

Publish Date
10 Jan 2024

Abstract

Human Resources (HR) has a very important role in the development of the nation, so to improve the quality of human resources, education is needed. Education has a role in developing science, disseminating, socializing, and applying it. So that education is one of the important factors in advancing a nation. However, there are still many challenges in achieving quality education, especially in developing countries such as Indonesia, such as parental education level, socioeconomic status, and environmental conditions can also affect the quality of education and students' opportunities for academic success. The research methods used in this research are problem identification, data collection, data analysis, and evaluation. The results in this study are an increase in accuracy of 38.55% from the difference in the K-Means accuracy value of 14% resulting from the David Bounded Index and the use of the extreme gradient adaboost algorithm.

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Journal Info

Abbrev

IJAIDM

Publisher

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...