Implementation Of Data Mining For Determining Majors Using K-Means Algorithm In Students Of SMA Negeri 1 Pangkalan Kerinci

SMA Negeri 1 Pangkalan kerinci is one of the middle schools located at Jalan Lintas Timur Kerinci Pelalawan Indonesia which currently has 2 majors namely Science and IPS. This student majors can lead learners to focus more on developing their own abilities and interests. Selection of inappropriate m...

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Bibliographic Details
Published inJournal of Applied Engineering and Technological Science (Online) Vol. 1; no. 1; pp. 17 - 29
Main Author Yuda Irawan
Format Journal Article
LanguageEnglish
Published Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 01.12.2019
Subjects
crisp-dm
data mining
k-mean
k-mean algorithm
majors
senior high school
Online AccessGet full text
ISSN2715-6087
2715-6079
DOI10.37385/jaets.v1i1.18

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Summary:SMA Negeri 1 Pangkalan kerinci is one of the middle schools located at Jalan Lintas Timur Kerinci Pelalawan Indonesia which currently has 2 majors namely Science and IPS. This student majors can lead learners to focus more on developing their own abilities and interests. Selection of inappropriate majors can be very detrimental to students of their interests and careers in the future. With the majors are expected to maximize the potential, talent or individual talents, so as to maximize academic value. Based on the background, then by applying data mining techniques are expected to help students to determine the correct majors in accordance with the criteria set. Data mining techniques used in the determination of this department using K-Means Algorithm.
ISSN:2715-6087
2715-6079
DOI:10.37385/jaets.v1i1.18