Junior Class Preparedness Classification Faces A National Exam Using C.45 Algorithm with A Particle Swarm Optimization Approach

Authors

    Asep Suherman( 1 ) DIDI KURNAEDI( 2 ) Sofian Lusa( 3 ) Rizqi Darmawan( 4 )

    (1) Universitas Budi Luhur
    (2) STMIK PGRI TANGERANG
    (3) Universitas Indonesia
    (4) Universitas Budi Luhur

DOI:


https://doi.org/10.32877/bt.v2i3.133

Keywords:


classification, students, national exam, c4.5, swarm particle optimization, try out

Abstract

These studies are counter to a trend of falling students' graduation rates on the national exam. This is because of the way students prepare their readiness to face national tests is inaccurate. On this study the hybrid method c4 algorithm.5 and the swarm particle optimization to produce a class readiness of students with high and accurate accuracy. This research suggests that by using hybridmethodC4.5 andParticle Swarm Optimizationgenerates accuracy as 97.13 %,  Precisionas 96,58 %, andRecallas 100 %. Then implemented through a web-based prototype application using programming javascriptlanguage.

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Published

2020-11-09

How to Cite

[1]
A. Suherman, D. KURNAEDI, S. Lusa, and R. Darmawan, “Junior Class Preparedness Classification Faces A National Exam Using C.45 Algorithm with A Particle Swarm Optimization Approach”, bit-Tech, vol. 2, no. 3, pp. 101–109, Nov. 2020.

Issue

Vol. 2 No. 3 (2020): Pandemik ICT

Section

Articles

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DOI : https://doi.org/10.32877/bt.v2i3.133
Abstract views: 277 / PDF downloads: 193