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Journal : bulletin of computer science research

Evaluasi Usability Aplikasi Presensi Mobile UMP Menggunakan Metode User Experience Questionnaire dan Think Aloud Ichsan, Maulana; Wibowo, Feri; Harjono, Harjono; Badharudin, Abid Yanuar
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.719

Abstract

The implementation of a mobile-based digital attendance system in higher education aims to enhance the efficiency of academic administration and the accuracy of attendance data. However, various challenges remain that impact the quality of user experience, including suboptimal authentication processes, the absence of logout notifications, limited attendance data visualization, and lack of login information storage features. These issues can potentially diminish user convenience and reduce long-term application efficiency. At Universitas Muhammadiyah Purwokerto, a barcode-scanning-based attendance application has been deployed; however, a comprehensive usability and user perception evaluation has not yet been conducted. This study aims to evaluate the usability of the application using a mixed-method approach that combines quantitative and qualitative methods, namely the User Experience Questionnaire (UEQ) and the Think Aloud protocol. The UEQ method is employed to assess user perception across six dimensions: attractiveness, clarity, efficiency, dependability, stimulation, and novelty. In contrast, the Think Aloud method explores users’ real-time verbal feedback and difficulties while interacting with the application. A total of 100 respondents completed the UEQ, and 5 participants took part in the Think Aloud sessions. The results indicate that all UEQ dimensions received positive scores, with clarity scoring the highest (mean = 1.95) and novelty the lowest (mean = 1.35). Findings from the Think Aloud sessions corroborate the UEQ results and reveal previously unidentified areas for improvement. Based on these insights, user-centered design recommendations were developed and translated into a user interface prototype. This study not only provides a comprehensive usability evaluation but also offers direction for the development of a more intuitive and adaptive mobile attendance application that can be adopted by other educational institutions.
Sistem Pemantau Siklus Haid Sebagai Media Manajemen Kesehatan Reproduksi Menggunakan Metode Forward Chaining dan Certainty Factor Rizki, Dimas Alva; Supriyono, Supriyono; Wibowo, Feri; Hamka, Muhammad
Bulletin of Computer Science Research Vol. 6 No. 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i3.1064

Abstract

The lack of understanding regarding the normal limits of physiological menstrual parameters leads to delayed detection of reproductive health disorders. Current conventional tracking applications generally focus on date prediction without analyzing accompanying symptoms. This research provides a technical contribution in the form of an expert system design for the early diagnosis of menstrual disorders based on four basic physiological variables: menstrual duration, cycle length, blood volume, and pain symptoms. The system is built using the Forward Chaining method to map the diagnostic inference flow, and the Certainty Factor (CF) to calculate the percentage of the expert's confidence level in the initial medical conclusion. Rule base validation was conducted with a general medical expert as a reference for early-stage screening (Amenorrhea, Oligomenorrhea, Polymenorrhea, Hypermenorrhea, Hypomenorrhea, Dysmenorrhea, and Normal). Black Box functionality testing shows that the system logic runs validly according to the static rule boundaries. Evaluation using the System Usability Scale (SUS) on 30 respondents resulted in a score of 83, indicating that the application has an excellent level of usability. As an early detection prototype, this system focuses on presenting diagnostic probabilities based on expert certainty, although continuous clinical validity testing using a Confusion Matrix remains necessary to measure medical accuracy comprehensively.