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Evaluation of User Acceptance of Online Transportation Applications Using User Acceptance Testing Muhammad Arizal Dwisakti; Suci Ramadhani; Pristiwanto
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.278

Abstract

This study evaluates user acceptance of online transportation applications using a questionnaire-based User Acceptance Testing (UAT) approach. The assessment covers vehicle ordering, location tracking, payment, navigation, processing speed, ease of use, comfort, and accessibility. Data were collected online from 30 active users through ten statements measured on a five-point Likert scale. Instrument validity was examined using the Pearson Product Moment correlation, while internal consistency was assessed using Cronbach’s Alpha. All items exceeded the critical correlation value of 0.361, with coefficients ranging from 0.4039 to 0.7380. The Alpha coefficient of 0.8148 indicated good instrument reliability. The observed score was 1,214 out of a maximum of 1,500, producing a UAT percentage of 80.93%. Under the interpretation interval adopted in this study, the application category was very feasible and reflected a high level of user acceptance. However, the result represents aggregated user perceptions and does not demonstrate that every function is technically error-free. The findings provide an initial evaluation, while future work should examine a specific application through controlled task scenarios, a larger sample, and item-level analysis.
Implementation of the MARCOS Method in a Decision Support System for Foundation Scholarship Determination Sugi Hartono Sinambela; Denni M Rajagukguk; Pristiwanto; Muhammad Iqbal Batubara; R.L harmady Tamba
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 3 (2025): November
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i3.9574

Abstract

The scholarship selection process often involves multiple criteria and is prone to subjectivity when conducted manually. This study aims to implement the Multi-Attributive Ideal-Real Comparative Analysis (MARCOS) method in a Decision Support System (DSS) to determine foundation scholarship recipients objectively and systematically. The research applies a quantitative approach by evaluating several student alternatives based on academic and non-academic criteria, including academic achievement, parents’ income, number of dependents, organizational activity, and social status. The MARCOS method is employed through decision matrix construction, normalization, weighting, utility value calculation, and ranking. The results indicate that the proposed system is able to generate clear and consistent rankings of scholarship candidates. Validation results show an accuracy of 80% when compared with the foundation’s manual decision process. These findings demonstrate that the MARCOS-based Decision Support System can improve accuracy, transparency, and efficiency in scholarship determination and can be adapted to other multi-criteria decision-making problems.