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All Journal Tibuana : Journal of Applied Industrial Engineering
Qalbi, Putri Aysha
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Mental Workload Analysis of Student Members of the Mosque Management Committee at Campus X Using NASA-TLX Alfani, Musaddad; Wicaksono, Mahruri Arif; Syafnijal, Frieska Ariesta; Qalbi, Putri Aysha
Tibuana Vol 9 No 1 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.1.10911

Abstract

Students who serve as administrators of campus mosques often face dual responsibilities: fulfilling academic obligations while simultaneously managing various religious activities on campus. Balancing these roles can lead to a considerable mental workload. This study aims to assess the level of mental burden experienced by students actively involved as campus mosque administrators. The research was conducted at a university mosque located in Yogyakarta. Mental workload was measured using the NASA-TLX instrument, which evaluates six key dimensions of cognitive load. Findings revealed an average mental workload score of 71.14, categorized as high. A total of 80% of participants reported experiencing high to very high levels of mental stress. The most prominent contributing dimensions were mental demand, effort, and perceived performance. These results highlight the need for effective workload management strategies, including equitable task distribution, engagement of external volunteers, stress and time management training, and promoting awareness of the importance of balancing academic and organizational commitments.
Customer Segmentation in a Campus-Area Convenience Store Using K-Means Clustering Alfani, Musaddad; Qalbi, Putri Aysha
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11641

Abstract

Customer segmentation is an important strategy for understanding differences in customer characteristics and supporting more targeted marketing decisions. In campus areas, convenience store customers generally consist of students with diverse demographic, economic, and accessibility characteristics, resulting in different purchasing behaviors. This study aims to identify customer segments of a convenience store located in the Campus X area of Yogyakarta using the K-Means Clustering algorithm. The study employed a quantitative approach with data mining techniques using customer data from students. The variables analyzed included age, income, shopping intensity, and residential distance from the store. The optimal number of clusters was determined using the Elbow Method before applying the K-Means algorithm. The results identified three customer segments with distinct characteristics. The largest segment consisted of customers living relatively close to the store and exhibiting high shopping intensity, while another segment was characterized by lower purchasing activity and greater residential distance. The smallest segment showed the highest income level and more diverse product preferences. Furthermore, differences in customer characteristics were reflected in product purchasing patterns across the identified segments. These findings indicate that accessibility and economic factors play important roles in shaping customer purchasing behavior in campus-area convenience stores. The results can serve as a reference for developing more targeted promotional and product management strategies.
Co-Authors Alfani, Musaddad Frieska Ariesta Syafnijal Wicaksono, Mahruri Arif