Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Journal of Applied Sciences, Management and Engineering Technology (JASMET)
Susmitha Canny
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Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Designing Through User Experience Evaluation: A Performance Metrics and Experiential Rating Approach Bagus Anugrah Ramadhan; Susmitha Canny; Tasya Ghaniyyah Salsabila
Journal of Applied Sciences, Management and Engineering Technology Vol 7, No 2 (2026): On Going
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2026.v7i2.9333

Abstract

The rapid growth of e-commerce in Indonesia has intensified competition among online retailers, particularly in the sneaker sector, where web interface quality has become a critical determinant of user satisfaction and transaction success. However, empirical studies evaluating sneaker retail web interfaces using a multi-method User Experience (UX) framework remain limited. This study evaluates three sneaker sales web interface designs Web Interface 1 (navigation-focused), Web Interface 2 (aesthetics-focused), and Web Interface 3 (simplicity-focused) to identify usability strengths and weaknesses and generate evidence-based recommendations. A preliminary Product Reaction Cards study revealed mixed perceptions, with Easy to Use (13 votes) and Boring (9 votes) as top descriptors, indicating an unresolved tension between navigational clarity and visual engagement. Four user personas were developed to represent target user profiles. The evaluation integrated three dimensions: Performance Metrics (task success rate, time on task, and lostness), Post-Session Rating (Single Ease Question, System Usability Scale, and Questionnaire for User Interaction Satisfaction), and Experiential Rating (USE Questionnaire and Product Reaction Cards), applied across five task scenarios representing the complete transaction journey. A Figma-based prototype integrating strengths from both interfaces was validated, achieving a task completion time of 40 seconds and a lostness score of 0.30, representing improvements of 11.1% and 33.3% over the best-performing existing design, demonstrating that a multi-method UX evaluation can systematically guide the development of more usable and user-centered e-commerce interfaces.
Integrating Statistical Process Control and Capability Analysis to Diagnose Pedagogical Variation in an Engineering Statistics Course Ni Putu Ayu Laksmi Purwati; Susmitha Canny; Bagus Anugrah Ramadhan
Journal of Applied Sciences, Management and Engineering Technology Vol 7, No 2 (2026): On Going
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2026.v7i2.9369

Abstract

Higher education engineering programs require graduates to possess strong statistical literacy for evidence-based decision-making. However, disparities in student achievement often obscure whether the pedagogical delivery is operating under stable conditions or if specific factors are introducing detrimental variation into the learning process. This study evaluates the stability and capability of the learning process within an Industrial Statistics course by applying a Quality Management System (QMS) framework to educational assessment data. The research analyzed the grades of 216 students across three evaluation instruments: quizzes, case studies, and examinations. Data was categorized according to Course Learning Outcomes (CLOs) to form consistent subgroups of n=3. Process stability was initially assessed using Statistical Process Control (SPC) with  -R control charts. Subsequently, a Process Capability Analysis (PCA) was conducted to determine whether the learning process could consistently yield outcomes meeting the defined minimum passing threshold (LSL = 50,01). The SPC analysis indicated that while the examination component achieved a state of statistical control, the quiz and case study assessments exhibited significant out-of-control variations. Furthermore, the PCA revealed systemic pedagogical deficiencies across all metrics. Both the potential (Cp) and actual (Cpk) capability indices for all evaluation instruments fell entirely below the acceptable industry threshold of 1,0. Critically, the case study component demonstrated a negative capability index (Cpk = -0.093), signifying that the mean class performance had shifted completely below the specification limit. Additionally, the examination component displayed extreme statistical variance ( = 32,794), highlighting a substantial disparity in cognitive comprehension among the cohort.
Co-Authors Ni Putu Ayu Laksmi Purwati Ramadhan, Bagus Anugrah Tasya Ghaniyyah Salsabila