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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Informatika Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Inovatif Journal of Students‘ Research in Computer Science (JSRCS) SENTRI: Jurnal Riset Ilmiah Jurnal Sistim Informasi dan Teknologi INCOME: Indonesian Journal of Community Service and Engagement Jurnal Multidisiplin West Science West Science Social and Humanities Studies Journal Of Computer Science Contributions (JUCOSCO)
Abrar Hiswara
Fakultas Ilmu Komputer , Universitas Bhayangkara Jakarta Raya
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Jurnal Sistim Informasi dan Teknologi

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The Implementation of Data Mining Method Using K-Means Algorithm to Analyze Study Interest of High School Students Dadang Sudrajat; Arif Rinaldi Dikananda; Abrar Hiswara; Rinovian Rais; Amat Suroso
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.209

Abstract

At present, the school is experiencing difficulties processing the results of student academic achievement for the specialization process for high school students. The currently running student interest process still uses a manual system by calculating the subject value of each student and then grouping the results of the calculation of each student's value into science or social studies interest groups in accordance with the requirements imposed by the school. For that, we need a solution that can overcome these difficulties. The author develops the application using the Rapid Application Development (RAD) method, which consists of the requirements planning phase, the design phase, the construction phase, and the implementation phase. At the construction stage, the K-Means algorithm is implemented in data mining technology to classify student academic achievement results into science and social studies interest groups. The results of making this application are intended for the school, especially the homeroom teacher, so that it can be an alternative solution or advice in making decisions for student specialization.
Co-Authors Achmad Noeman Achmad Noe’man Adit Mohammad Aziz Ahmad Hanafi Aida Fitriyani Amalia Nur Soliha Arif Rinaldi Dikananda Arman Andrian Dadang Sudrajat Daud Tri Bakti Purba Dian Hartanti Dika Aditya Octaviana Dwipa Handayani Fendy Hendrianto Gema Tasakur Hanifah Nurul Muthmainah Haris Himawan Joni Warta Juani Khuswara Maulidin Kaylista Nabila Nastiti Kesuma Kurniasari Kurniasari M. Hadi Prayitno Maulidin, Juani Khuswara Muhamad Salam Assyidqi Muhammad Dafa Agustyan Mukhlish - Mumtaz Abdurrahim Kamil Mumtaz Abdurrahman Kamil Noor Muhammadi Noor Permadi Nur Rachma Nurhayati Nurhayati Rafika Sari Rafika Sari RAFIKA SARI Rahmawanti, Waliya Reza Adi Nugraha Rinovian Rais Roy Mubarak Sri Winarsih suroso, amat Tyastuti Sri Lestari Yenik Pujowati Yoga Saputra Zunan Setiawan