KAJIAN KLASIFIKASI DATA MINING TERHADAP INTELLIGENCE QUOTIENT (IQ ) SISWA SMA MENGGUNAKANALGORITMA K-NEAREST NEIGHBOR (KNN)

Hermila, Rezeka Olanda (2018) KAJIAN KLASIFIKASI DATA MINING TERHADAP INTELLIGENCE QUOTIENT (IQ ) SISWA SMA MENGGUNAKANALGORITMA K-NEAREST NEIGHBOR (KNN). Diploma thesis, FAKULTAS TEKNIK.

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Abstract

Intelligence is a form of ability to move with directed, thinking rationally and facing environment in effectively. In big lines it can conluded that intelligence is an mental – ability that involves process of thinking rationally. SMA Negeri 1 Padang is one of many school that already performing IQ test on its student in 2017 years of academic conducted by psychologist based on test results using IntelligenzStrukture Test (IST ) to determine the IQ or the intelligence ability of its student. The use of data mining classification studies can provide us with solution of student grade SMA Negeri 1 Padang classification. K-Nearest Neighbor (KNN ) is one of algorithm that can be used to classify IQ result data. This system is implemented with web programming language with PHP (Hypertext Prepocessor) and using MySQL Database. Accuracy test of the classification system of student’s High School IQ is 90% and result of system Implementation is 83.75% indicates that IQ Classification study system can be implemented.

Item Type: Thesis (Diploma)
Subjects: T Technology > T Technology (General)
Divisions: > Teknik Informatika
> Teknik Informatika
Depositing User: Admin
Date Deposited: 11 Mar 2020 04:02
Last Modified: 11 Mar 2020 04:02
URI: http://repository.uir.ac.id/id/eprint/1753

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