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Penerapan Kerangka CRISP-DM dalam Evaluasi Performa Logistic Regression dan Decision Tree untuk Prediksi Kelulusan Mahasiswa Nabarian, Tifanny; Wahyuni, Imelda; Farisi, Salman El
Indonesian Journal Computer Science Vol. 5 No. 1 (2026): April 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcs.v5i1.12502

Abstract

Ketepatan waktu kelulusan mahasiswa sering digunakan sebagai salah satu indikator dalam menilai efektivitas penyelenggaraan pendidikan di perguruan tinggi. Pemanfaatan data akademik melalui pendekatan machine learning dapat membantu mengidentifikasi mahasiswa yang berpotensi mengalami keterlambatan kelulusan secara lebih terukur. Penelitian ini bertujuan untuk membandingkan kinerja algoritma Logistic Regression dan Decision Tree dalam memprediksi kelulusan mahasiswa berdasarkan faktor akademik. Dataset yang digunakan terdiri dari 351 mahasiswa Program Studi Teknik Informatika di STT Terpadu Nurul Fikri, angkatan 2021, dengan variabel input Indeks Prestasi Kumulatif (IPK) serta Indeks Prestasi Semester (IPS) untuk setiap semester. Penelitian ini menggunakan metodologi CRISP-DM dengan pembagian data pelatihan serta pengujian 80:20. Evaluasi model dilakukan menggunakan confusion matrix dengan metrik accuracy, precision, recall, serta F1-score. Hasil pengujian menunjukkan bahwa Logistic Regression memperoleh accuracy 92,96%, precision 90,91%, recall 97,56%, dan F1-score 94,12%, sedangkan Decision Tree memperoleh accuracy 88,73%, precision 88,37%, recall 92,68%, serta F1-score 90,48%. Hasil tersebut menunjukkan bahwa Logistic Regression menunjukkan performa yang lebih optimal dan lebih sesuai dalam memodelkan hubungan antara variabel akademik dan ketepatan kelulusan mahasiswa. Sebagai kontribusi utama, penelitian ini mengintegrasikan model Logistic Regression terbaik ke dalam purwarupa sistem deteksi dini (early warning system) berbasis web menggunakan Streamlit. Pendekatan ini memberikan keunggulan praktis bagi pemangku kepentingan program studi untuk memitigasi risiko keterlambatan kelulusan secara real-time dan mendukung pengambilan keputusan intervensi akademik yang sepenuhnya digerakkan oleh data (data-drive decision making).
Meta-Analysis: The Effect of Assessment Types on Learning Outcomes in Islamic Religious Education Boy, La; Wahyuni, Imelda
Dirasah: Jurnal Pendidikan Islam Vol. 7 No. 1 (2026)
Publisher : IAIN KENDARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/jpi.v7i1.14049

Abstract

This study aims to analyze the effects of various forms of assessment on learning outcomes in Islamic Religious Education (IRE) through a meta-analysis approach. IRE learning outcomes are understood as integrated learning achievements encompassing the cognitive, affective, and psychomotor domains. The meta-analysis was conducted on 15 quantitative research articles published between 2018 and 2025 that met the inclusion criteria, including experimental, quasi-experimental, and correlational designs. Effect sizes were calculated using Cohen’s d and Hedges’ g to determine the magnitude of the impact of each assessment type on IRE learning outcomes. The results indicate that, overall, assessment types have a positive effect on IRE learning outcomes, with an average effect size of 0.546, which falls within the moderate effect category. Formative assessment based on feedback and performance-based assessment demonstrate the strongest effects, classified as large effect sizes, whereas conventional cognitive assessments such as quizzes and homework assignments show relatively small effects. Based on educational level, the impact of assessment on IRE learning outcomes is most significant at the senior high school (SMA/MA) level compared to elementary (SD/MI) and junior high school (SMP/MTs) levels. These findings underscore that the effectiveness of assessment is largely determined by its alignment with the holistic objectives of Islamic Religious Education. Therefore, this study recommends strengthening the implementation of authentic, reflective, and formative assessments in Islamic Religious Education learning.
Pengaruh Pembelajaran PAI terhadap Hasil Belajar Siswa: Tinjauan Meta Analisis Taridala, Sri Marliah Puteri; La Fua, Jumarddin; Wahyuni, Imelda
Shautut Tarbiyah-IAIN Kendari Vol. 32 No. 1, Mei (2026): Transdisciplinary Approach in Islamic Education in the 4.0 era (Pendekata
Publisher : Institut Agama Islam Negeri (IAIN) Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study presents a meta-analysis review to measure the effect of Islamic Religious Education (PAI) learning on student learning outcomes. The analysis was conducted by synthesizing empirical findings from various previous studies to provide a comprehensive and objective overview. The results indicate that PAI learning has a significant impact on student learning outcomes. The strongest and most consistent influence is found in the affective-spiritual domain, particularly in the formation of character, religious attitudes, and discipline, with many effect size values categorized as large. The subject of Akidah Akhlak (Islamic Creed and Morals) is identified as the key component most effective in shaping student character. Furthermore, an analysis stratified by educational level reveals varying patterns of effectiveness. PAI learning shows a broad and strong impact at the Elementary School (SD) level, contributing to increased motivation and basic academic achievement. At higher levels, its impact becomes more specialized, such as enhancing problem-solving abilities in Junior High School (SMP) and deepening spiritual values in Islamic Senior High School (Madrasah Aliyah/MA). These findings imply that strengthening PAI learning needs to focus on a holistic approach that emphasizes value internalization and implements differentiated learning designs according to the developmental stage of learners at each educational level