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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi POROS TEKNIK Jurnal Pengabdian Pada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Antivirus : Jurnal Ilmiah Teknik Informatika International Journal of Engineering and Emerging Technology Specta Journal of Technology Teknika J-SAKTI (Jurnal Sains Komputer dan Informatika) Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Sistim Informasi dan Teknologi Indonesian Research Journal on Education Inspiration: Jurnal Teknologi Informasi dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Equiva
M Ihsan Alfani Putera, M Ihsan Alfani
Program Studi Sistem Informasi, Institut Teknologi Kalimantan, Balikpapan, Kalimantan Timur
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Journal : International Journal of Engineering and Emerging Technology

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Web-based Application for Classification Using Naïve Bayes and K-means Clustering (Case Study: Tic-tac-toe Game) Indriyani Indriyani; M. Ihsan Alfani Putera
International Journal of Engineering and Emerging Technology Vol 5 No 1 (2020): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i01.p04

Abstract

A database can consist of numerical and non-numerical attributes. However, several data processing algorithms, such as K-means clustering, can be used only in a dataset with numerical attributes. Data generalization by using Naïve Bayes and K-means clustering methods is usually employed WEKA (Waikato environment for knowledge analysis) application. Although the strength of WEKA lies in increasingly complete and sophisticated algorithms, the success of data mining still lies in the knowledge factor of the human implementer. The task of collecting high-quality data and knowledge of modeling and the use of appropriate algorithms is needed to guarantee the accuracy of the expected formulations. In this paper, we propose a simple web-based application that can be used like WEKA. The methodology used in this study includes several stages. The first stage is the preparation of data, which is the tic-tac-toe game dataset that is converted to CSV (comma-separated values) format. The next stage is the process of modifying data from non-numeric to numeric, specifically for clustering with the K-means algorithm. Afterward, the calculation of the distance between data is conducted and followed by data clustering. The final stage is the summary of these processes and results. From the experimental results, it was found that clustering can be done on categorical attributes that are transformed first into the numerical form using web-based applications.
Co-Authors Adha Setiawan Wiyana Aditya Putra Pratama Ahmad Maulana Fikri Ariyadi Ariyadi Atrinawati, Lovinta Happy Azhar, Nur Fajri Dorce Berkat Tandirau Evano Valdi Ananda Karyoto Fadila, Irvan Amar Fery Darmawan Fikri, Ahmad Maulana Gusti Ahmad Fanshuri Hairudin Hairudin Ika Lestari Ika Lestari, Ika Indriyani Indriyani Insanittaqwa, Vika Kamilina Rhodiyah LD KHARISMA, MUHAMMAD Kirsan, Aidil Saputra Lovinta Happy Atrinawati M. Fuad Wiyono Putra M. Gilvy Langgawan Putra M. Gilvy Langgawan Putra Muhammad Fahri Muhammad Nur Syamsudin Natasia, Sri Rahayu Nursanti Novi Arisa Nursanti Novi Arisa Prabowo, I Putu Deny Arthawan Sugih Prambudi, Dwi Arif Putra, M Gilvy Langgawan Rani Meliyana Roby Kurniawan Salsabila, Haira Saputra, Dimas Satria Shano Shidiq, M. Fathurrahman Soffa, Is Rio Sena Nur Soleh Ardiansyah Sri Rahayu Natasia Suci Noorjannah Syafitri, Syahriah Tandirau, Dorce Berkat Tazkya Humaira Tegar Palyus Fiqar Vinda Daningrum Yuyun Tri Wiranti Yuyun Tri Wiranti Yuyun Tri Wiranti