Analisis Perbandingan Framework Automation Testing Pada Aplikasi Berbasis Website Menggunakan Metode Analytical Hierarchy Process (AHP)

The proliferation of web applications necessitates the implementation of automated testing procedures to enhance efficiency and mitigate the risk of human error. However, the extensive array of automation testing frameworks available complicates the selection of the optimal tool. The objective of this research is to ascertain the most optimal automation testing framework for web-based applications. The Analytical Hierarchy Process (AHP) method is employed in this research to compare three popular frameworks: Serenity BDD, Cypress, and Robot Framework. These frameworks are evaluated based on seven criteria, including covered test cases, time complexity, execution speed, element inspection, platform compatibility, script language, and parallel execution. The data was collected through two methods. First, the website was tested directly. Second, questionnaires were distributed to experts in the field of Software Quality Assurance. The findings indicate that Cypress emerges as the optimal framework, demonstrating superior performance across multiple dimensions. These include an average execution speed of 6.073 seconds, an overall computation time of 455.8 seconds, and comprehensive test coverage of 75 test cases. This research contributes data-driven guidelines to assist practitioners in the objective, measurable, and efficient selection of automated testing frameworks.