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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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SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN SISWA TERBAIK DI SMP PELITA AL-QUR’AN DENGAN METODE SIMPLE ADDITIVE WEIGHTING Feni Yulianti; Nahar Mardiyantoro; Erna Dwi Astuti; Adi Suwondo; Sukowiyono
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 2 No. 2 (2023): Mei
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v2i2.1962

Abstract

Penelitian ini berisi rancang bangun sistem pendukung keputusan untuk mencari siswa terbaik di SMP Pelita Al-Quran dengan menggunakan metode Simple Addtive Weighting (SAW). Simple Addtive Weighting adalah metode penjumlahan berbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari peringkat kinerja setiap alternatif pada semua kriteria. Dalam penelitian ini dipilih 5 kriteria yaitu hafalan Al-Qur'an, nilai rapor, akhlak, prestasi, dan poin pelanggaran. Siswa terbaik adalah siswa yang selalu mengikuti aturan yang telah ditetapkan oleh sekolah atau guru yang mendidiknya, dan selalu memiliki kewajiban apa yang menjadi siswa di sekolah.
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