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A Hybrid SEM-PLS and ANN Approach for Predicting Student Loyalty in Higher Education Learning Management Systems Hamidah; Sarwindah; Hengki; Tri Sugihartono
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1625

Abstract

This study aims to develop a hybrid Structural Equation Modeling–Partial Least Squares (SEM-PLS) and Artificial Neural Network (ANN) approach to analyze student loyalty in Learning Management Systems (LMS) at ISB Atma Luhur. Data were collected from 200 students at ISB Atma Luhur, representing a single-institution sample, and analyzed using SEM-PLS to examine causal relationships and ANN (Multilayer Perceptron) implemented in SPSS to support predictive analysis. The model includes e-service quality, user experience, information quality, and system quality as predictors of satisfaction and loyalty. The SEM-PLS results show that E-Service Quality (β = 0.350), System Quality (β = 0.170), and User Experience (β = 0.292) significantly affect Satisfaction, whereas Information Quality is not statistically significant (p = 0.054). Satisfaction positively influences Loyalty (β = 0.360), and User Experience has the strongest direct effect on Loyalty (β = 0.484). The model explains a substantial proportion of variance (R² = 0.717 and 0.631) with positive Q² values (0.460 and 0.379). Across ten independent runs, the ANN model achieved an average accuracy of 84.88% (SD = 2.82) and an average AUC of 0.949 (SD = 0.003), indicating stable predictive performance, indicating promising predictive performance under the current testing configuration. The findings provide context-specific explanatory and predictive insights into student loyalty in LMS, however, they should be interpreted with caution due to discriminant-validity limitations and the single-institution setting of the study.
SISTEM INFORMASI PEMESANAN ONLINE PUDING S DAN ES DRINK MENGGUNAKAN METODE FAST Estefania; Serlie Natalia; Estefania Estefania; Tri Sugihartono
Journal of Innovation Research and Knowledge Vol. 5 No. 9 (2026): Februari 2026
Publisher : Bajang Institute

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Abstract

Puding S dan Es Drink merupakan usaha kecil menengah yang masih menggunakan sistem pencatatan manual dengan nota kertas dalam mengelola pemesanan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pemesanan online menggunakan metode FAST yang dapat menggantikan sistem manual. Metode FAST dipilih karena menawarkan pendekatan sistematis dan terstruktur yang sesuai dengan kebutuhan usaha kecil. Penelitian ini melaksanakan tujuh fase pengembangan sistem meliputi perencanaan cakupan, analisis masalah, analisis kebutuhan, perancangan logis, perancangan fisik, konstruksi dan pengujian, serta instalasi dan pengiriman. Sistem yang dikembangkan memiliki fitur menampilkan sepuluh varian rasa puding, keranjang belanja, formulir pemesanan, pengelolaan status pesanan, dan pelaporan penjualan. Hasil penelitian menunjukkan bahwa sistem informasi pemesanan online meningkatkan efisiensi operasional, mengurangi kesalahan pencatatan, memperluas jangkauan pasar, dan meningkatkan kepuasan pelanggan. Sistem ini dirancang dengan skalabilitas yang baik sehingga dapat dikembangkan lebih lanjut di masa depan sesuai dengan pertumbuhan bisnis