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All Journal Jurnal Teknik ITS Scientific Journal of Informatics Jurnal Informatika Upgris E-Link: Jurnal Teknik Elektro dan Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Abdi Masyarakat Indonesia Jurnal Minfo Polgan (JMP) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) JSITP Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Masyarakat Madani Indonesia JETBIS Innovative: Journal Of Social Science Research SOROT: Jurnal Pengabdian Kepada Masyarakat Kadaster: Journal of Land Information Technology
Bangkit Indarmawan Nugroho
STMIK YMI TEGAL
Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Teknoif Teknik Informatika Institut Teknologi Padang

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TINJAUAN PUSTAKA SISTEMATIS: PENERAPAN DATA MINING TEKNIK CLUSTERING ALGORITMA K-MEANS Sekar Setyaningtyas; Bangkit Indarmawan Nugroho; Zaenul Arif
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 10 No 2 (2022): TEKNOIF OKTOBER 2022
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2022.V10.2.52-61

Abstract

Data Mining is a method for analyzing future patterns and characteristics as well as gathering unexpected, never-before-seen information from large databases. In data mining, clustering is one of the useful techniques for analyzing data. One of the data mining algorithms is the K-Means algorithm, which is a clustering technique based on distance division. The goal to be achieved in this paper is to analyze the clustering technique using the K-Means algorithm in data mining by conducting an in-depth review and searching through the literature selected based on the criteria and studies that will be selected to answer research questions. Systematic Literature Review (SLR) is a method that aims to identify and find research results with techniques based on specific procedures from comparison results. Based on the literature on the selection of journal publications, Pattern Recognition, Knowledge-Based Systems, Applied Soft Computing and IEEE Access can be the main references related to the K-Means algorithm. The results of the comparison show that Euclidean Distance has the advantage of better distance calculation, so that this method can be used as the main choice related to the calculation theory of the K-Means algorithm.
Co-Authors 2Nugroho Adhi Santoso Aang Alim Murtopo Ardhi Supratman Bryan Adam Hidayatullah Defi Lugianti Dewi Srifani Fahmi Charish Mustofa Fajrul Falah Gunawan Gunawan Gunawan Isnaeni Hamidah Mohammad Amin Triwinanto Muhammad Syahrul Maulana Muhammad Syahrul Maulana Naella Nabila Putri Wahyuning Naja Nindy Putri Lestari Nugroho Adh Santoso Nugroho Adhi Santoso Nugroho Adhi Santoso Nugroho Adhi Santoso Rifki Dwi Kurniawan Rifki Dwi Kurniawan Sarif Surorejo Sawaviyya Anandianskha Sekar Setyaningtyas Syefudin Syefudin Syefudin Syefudin Umar Ali Ahmad Wahyu Romadhona Wahyu Romadhona Wresti Andriani Wresti Andriani Zaenal Arif Zaenal Ma'arif Zaenul Arif Zaenul Arif Zaenul Arif