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Journal : Journal of Applied Data Sciences

Logistic Regression Analysis of Factors that Influence User Experience in Student Medical Report Applications Wahyuningrum, Tenia; Prasetyo, Novian Adi; Fitriana, Gita Fadila; Permadi, Dimas Fanny Hebrasianto; Setyawati, Rr.; Yuliansyah, Joewandewa; Sambath, Khoem
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.285

Abstract

Monitoring student health efficiently requires collaboration between schools and government health services. Traditional methods often need more agility and user-friendliness, leading to delays and inaccuracies. This research aims to verify a fast and agile student medical report that we have previously developed using the Modified Agile User Experience (UX) method, with a focus on simplicity, usability, and accessibility. The system’s evaluation employs non-functional testing methods to identify factors influencing user satisfaction within the scope of the user experience. We measure task-level and overall user satisfaction using the Single Ease Questions (SEQ) questionnaire as the response variable. This study also investigates test-level satisfaction as predictor variables using Usability Metric for User Experience (UMUX) and UMUX-Lite questionnaire as predictor variables, as well as each student’s Interest in learning and learning motivation concerning test-level satisfaction. Binary Logistic Regression (BLR) analysis determined the relationship between test-level and task-level satisfaction, revealing significant correlations between these variables. Based on the results, the Interest to Learn variable is the most important factor that influences task-level satisfaction, but with a small probability value (42.9%). To ensure these accurate results, we changed the scale on SEQ from Easy and Hard to seven scales with normalized values. We compared the results using 4 algorithms: Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient Boosting as the most effective model. For a test size of 0.2 and a random state of 40, Logistic Regression achieved an accuracy of 0.80 and a Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) score of 0.83. Random Forest also had an accuracy of 0.80 but a slightly lower ROC AUC score of 0.77. SVM also performed well, with accuracies of 0.83 and ROC AUC scores of 0.77. Gradient Boosting showed the lowest performance with an accuracy of 0.77 and a ROC AUC score of 0.73. These results indicate that Logistic Regression is the most robust model for predicting user satisfaction. Significant data correlations between SEQ, UMUX, and UMUX-Lite guide the development of user-centered applications, enhancing the effectiveness of educational tools by ensuring higher user satisfaction. Future research should consider more extensive, more diverse samples and additional factors influencing user experience to refine these models and their applications.
Co-Authors Abednego Dwi Septiadi Adhe Nuzula Ramadlana Aditya Wijayanto Aghnia NurJumala Alika, Shintia Dwi Alon Jala Tirta Segara Amalia Beladinna Arifa Amanat Dirgantara Angga Widwan Krismanto Apri Junaidi Arief Rais Bahtiar Ariq Cahya Wardhana Atika Ratna Dewi Budy Putri, Raden Neomy Lusie Ratna Deseina Cepi Ramdani Condro Kartiko Dany Candra Febrianto Dedy Agung Prabowo Diandra Chika Fransisca Dimas Fanny Hebrasianto Permadi Eka Tripustikasari Elfrida Ratnawati Fadlan Sani Mubarok Fahrezi, Raihan Ahmad Febriani, Atik Firman Galuh Sembodo Garichwan Fathurrahman Arafat GITA FADILA FITRIANA Hari Widi Utomo Hary Indra Permana Hulqi, Filfimo Yulfiz Ahsanul Iqsyahiro Kresna A Irwan Susanto Ismi Aziz, Ahun Jinan Ghinia Khansa Johanes Christianto Tiku Kukuh Primadito Raharjo Larasae, Dewi Maryona Septiara Matheus Alvian Wikanargo Meliana Dewi Morleedia Adi Yahya Muhamad Awiet Wiedanto Prasetyo Muhamad Azrino Gustalika Nesya Dwinanda Sri Fadila Nurhidayat, Syahliana Iqbal Nurul Mustabirin Panjiwijanarko, Jiddan Ilham Pradana Ananda Raharja Pramudya, Reza Iqbal Rahayu, Ratna Budi Sri Rezi Iwardani Saputri Riadi Windika Rifki Adhitama, Rifki Riri Irma Suryani Rizka Fayyadhila Rr. Setyawati Sambath, Khoem Sang Dara Parameswari Sidiq, Muhammad Fajar Siti Khomsah, Siti Suci, Ika Rahmawati Suyoto Suyoto Tasya Anggar Ari Krisnandi Tenia Wahyuningrum Testandy, Zaky Hanif Thenata, Angelina P. Theo Felix Harianto Purba Trihastuti Yuniati Ummi Athiyah Utami, Annisaa Vico Meylana Eka Putra Wahyu Andi Saputra Wibowo, Fahrudin Mukti Wikanargo, Matheus Alvian Windika, Riadi Wiwit Farianto Yudha Saintika Yuliansyah, Joewandewa