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All Journal Jurnal INSYPRO (Information System and Processing)
Sri Wahyuni
Program Studi Teknik Informatika, UIN Alauddin
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Penentuan Cluster Optimum Untuk Mengelompokkan Desa Berdasarkan Tingkat Pendidikan Menggunakan Metode K-Means (Studi Kasus Kecamatan Patimpeng Kab.Bone) Asrul Azhari; Rahman Mallawing; Sri Wahyuni; A.satriani -
Jurnal INSYPRO (Information System and Processing) Vol 8 No 1 (2023)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v8i1.37794

Abstract

Patimpeng Subdistrict has residents with different levels of education with different educational problems. Therefore, different solutions are needed related to educational problems to improve the quality of education for the residents of Patimpeng Subdistrict. One of the information about the level of education in each village can be known through the number of graduates for each level of education. In order to classify the level of education, an appropriate method is needed that can make it easier to classify the level of education in each village. For this reason, the authors propose the optimum cluster method with the k-means algorithm for the number of graduates from various levels of education. The method used in making this system is using the waterfall method. Making this application uses PHP as the programming language using algorithms and using the Laravel framework and for system testing using blackbox testing and SUS (System Usability Scale). The results of this research are that the optimum cluster determination system for grouping villages based on education level using the k-means method has been successfully created. In addition, the results were obtained from the SUS (System Usability Scale) test with 80.71, which means that the value is an adjective rating of "Excellent".
Co-Authors A.satriani - Asrul Azhari Rahman Mallawing