Developing an AHP-Based Web Application for Internship Selection among Undergraduate Students
Abstract
Internships for undergraduate students in the workplace will result in the opportunity to get a career in the future. If students can compare multi-criteria and multi-alternative in selecting appropriate internships, this will make decision-making much easier, and increase their future job opportunities. This research is aimed to develop a web application to recommend internship selection workplaces for undergraduate students and evaluate the quality and the satisfaction of the web applications by using the Analytical Hierarchy Process (AHP) technique to rank internship options. The quality assessment results by 4 experts found that the overall mean was 4.15 (high level), and the standard deviation was 0.74. The satisfaction assessment results of 96 users found that the overall mean is calculated at 3.90 (high level), and the standard deviation was 0.95. The criteria to use in considering the top 3 are good colleagues, suitable allowances/compensation, and welfare, respectively. Significant recommendations encompass the application of responsive web design principles to ensure compatibility across diverse devices, alongside the integration of UX/UI design principles aimed at enhancing the usability of websites.
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