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All Journal Dinamik Jurnal Inovatif Wira Wacana Journal of Digital Literacy and Volunteering
Hermanto, Muhammad Haris
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Other

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Sistem Prediksi Prestasi Akademik Mahasiswa Program Studi Pendidikan Agama Islam Menggunakan C4.5 Hermanto, Muhammad Haris; Sutedi, Sutedi
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10323

Abstract

Current advances in information technology have encouraged universities to utilize student academic data as a basis for decision-making, one of which is predicting academic achievement. This study aims to apply the C4.5 algorithm to develop a system for predicting student academic success in the Islamic Religious Education Study Program. This method was chosen because it produces a decision tree model that is easy to understand and has a high level of accuracy. The data used comes from student achievement indexes from semesters 1 to 5. The research results showed that the prediction system achieved 99.62% accuracy and achieved high recall precision across each class category. This demonstrates the effectiveness of the C4.5 algorithm in predicting student academic achievement and has the potential to serve as a valuable tool for decision-makers in higher education.
Prediksi Penerimaan Mahasiswa Baru Menggunakan Metode Regresi Linier Sederhana Hermanto, Muhammad Haris; Saputra, Hadi Nurma Dwi
Jurnal Inovatif Vol. 4 No. 3 (2025): Desember 2025
Publisher : Universitas Kristen Wira Wacana Sumba

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Abstract

Penelitian ini bertujuan untuk memprediksi jumlah penerimaan mahasiswa baru di Sekolah Tinggi Agama Islam Darussalam Lampung menggunakan metode regresi linier sederhana. Dengan memanfaatkan data historis penerimaan mahasiswa selama tujuh tahun terakhir (2018 –2024), analisis dilakukan untuk membangun model yang mampu menggambarkan pola hubungan antara jumlah mahasiswa yang diterima dan tahun akademik. Hasil analisis menunjukkan bahwa metode ini mampu memberikan estimasi yang mendekati untuk mendukung perencanaan strategis institusi, meskipun signifikansi statistik menunjukkan keterbatasan pada tingkat kepercayaan tertentu. Penelitian ini memberikan wawasan awal yang berguna dalam mengembangkan strategi promosi dan pengelolaan sumber daya. Untuk meningkatkan akurasi prediksi, penelitian di masa depan direkomendasikan untuk menggunakan model peramalan yang lebih kompleks, seperti regresi linier berganda atau analisis deret waktu, yang dapat mempertimbangkan lebih banyak variabel.)
Eksplorasi dan Visualisasi Data Transaksi Online Retail Untuk Mendukung Pengambilan Keputusan Bisnis Al Hafiz, Dzaki; Hermanto, Muhammad Haris; Setiawan, Anton; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 4 No. 1 (2026): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v4i1.195

Abstract

The growth of e-commerce generates large and complex transaction data volumes requiring in-depth analysis for business decision-making support. This research applies Exploratory Data Analysis (EDA) approach to the Online Retail UCI dataset (541,909 transactions, 2010-2011) using Python on Google Colab for data cleaning, yielding 392,692 valid records. Analysis focuses on time trends of transactions and revenue, top 7 products by quantity and revenue, and sales distribution across regions through interactive Looker Studio dashboard. Findings reveal seasonal transaction patterns, differences between high-volume vs high-revenue products, and United Kingdom dominance (80% revenue). The interactive dashboard with time and country filters enables flexible data exploration for promotion strategy, inventory management, and market expansion decisions. This research proves data visualization effectiveness as a retail online business decision support system.
Co-Authors Al Hafiz, Dzaki M Said Hasibuan Saputra, Hadi Nurma Dwi Setiawan, Anton Sutedi Sutedi