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All Journal STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Clean Energy and Smart Technology
Sukowiyono
Universitas Sains Al-Qur'an
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Clean Energy and Smart Technology

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DATA MINING TO PREDICTE THE TIME OF KHATAMAN TAHFID STUDENTS TAHFID PPTQ AL-ASY'ARIYYAH USING C4.5 ALGORITHM Muhamad Maulana Ikhsanul Khafidli; Muhamad Fuat Asnawi; Adi Suwondo; Sukowiyono; Dimas Prasetyo Utomo
Clean Energy and Smart Technology Vol. 1 No. 2 (2023): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v1i2.39

Abstract

PPTQ Al-Asy'ariyyah is an Al-Qur'an-based Islamic boarding school where most students memorize the Al-Qur'an. This study uses data mining to calculate how many students are late in completing their memorization and the factors that influence it by using the C4.5 algorithm. Algorithm C4.5 has a decision that can give the desired result. The results of this study found several factors that influence the punctuality of khatam and several factors. Of the 250 students located, 96 could complete their memorization on time, and 154 were off target or on time. Based on what was obtained from the study results, the timeliness of completing the completion is sufficient.
Co-Authors dimas prasetyo utomo Erna Dwi Astuti Feni Yulianti Muhamad Fuat Asnawi Muhamad Maulana Ikhsanul Khafidli Nahar Mardiyantoro Suwondo, Adi