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All Journal Perwira Journal of Science and Engineering (PJSE) Jurnal Informasi, Teknologi, Engineering, dan Sains
Fabio Junior
Universitas Tangerang Raya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Penerapan Metode Regresi Linear untuk Prediksi Nilai Ujian Akhir Mahasiswa Universitas Tangerang Raya R Wahyudi Darmawan; Amelia Sholikhaq; Fabio Junior
Journal Information Technology Engineering and Science (JITES) Vol 6 No 1 (2026): JITES
Publisher : Universitas Tangerang Raya

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

Abstract

Predicting final exam scores is crucial for evaluating and improving academic performance. This study applies the linear regression method in data mining to predict final exam results based on factors influencing student performance. The methodology employed is the Cross-Industry Standard Process for Data Mining (CRISP-DM), comprising business understanding, data understanding, data preparation, modeling, evaluation, and deployment. This study utilizes the public dataset student_performance.csv, consisting of 395 records and 33 attributes. Through an attribute selection process using a correlation matrix, 7 predictor attributes with the most significant impact on the label were selected. The data mining process was executed using RapidMiner. This research yielded the linear regression equation model : y = 0,729 – (0,024 x medu) – (0,020 x Fedu) + (0,053 x failures) – (0,077 x gout) – (0,012 x absences) + (0,126 x G1) + (0,862 x G2). The model performance evaluation resulted in a Root Mean Squared Error (RMSE) of 0.675. Based on these results, the developed linear regression model demonstrates good accuracy and is highly recommended for predicting student exam scores.
Analisis Kinerja Database Terdistribusi pada Jaringan Software-Defined Networking (SDN) untuk Optimalisasi Sistem Informasi Akademik SEPTA PETRIANSYAH; Fabio Junior; R. Wahyudi Darmawan
Perwira Journal of Science & Engineering Vol 6 No 1 (2026)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/dcnvpc04

Abstract

Perkembangan sistem informasi akademik di perguruan tinggi memerlukan infrastruktur yang scalable dan reliable untuk menangani concurrent access yang tinggi, terutama saat periode kritis seperti pendaftaran KRS. Penelitian ini menganalisis kinerja database terdistribusi pada jaringan Software-Defined Networking untuk optimalisasi sistem informasi akademik di STIT Muhammadiyah Banjar. Metode eksperimental digunakan dengan membandingkan empat skenario: database terpusat pada jaringan tradisional, database terpusat pada jaringan SDN, database terdistribusi pada jaringan tradisional, dan database terdistribusi pada jaringan SDN. Pengujian dilakukan dengan variasi workload 100 hingga 5000 concurrent users menggunakan PostgreSQL dengan Citus extension dan ONOS controller. Hasil penelitian menunjukkan kombinasi database terdistribusi dengan SDN menghasilkan performa terbaik dengan query response time 521.4 ms pada 5000 users, 71.8% lebih cepat dibanding baseline, throughput mencapai 9589 TPS, error rate di bawah 2%, dan system availability 99.82%. Implementasi SDN menurunkan network latency hingga 43.8% dan packet loss rate hingga 79.3%. Uji Kruskal-Wallis menunjukkan perbedaan signifikan antar skenario dengan effect size besar. Penelitian ini memberikan blueprint teknis bagi institusi pendidikan tinggi dalam merancang infrastruktur IT yang optimal dengan total cost of ownership 5 tahun yang lebih efisien dibanding solusi terpusat.
Co-Authors Amelia Sholikhaq R Wahyudi Darmawan R. Wahyudi Darmawan Septa Petriansyah