APLIKASI WEB UNTUK EKSPLORASI MINAT DAN BAKAT MENGGUNAKAN METODE RMIB DENGAN PENDEKATAN RAD

Overview

This study addresses the assessment of vocational interests and aptitudes among secondary students through development of a web-based application implementing the RMIB (Tes Minat Bakat) methodology. The application was developed for SMK PKP 1 Jakarta to automate the previously manual process of interest and talent screening, enabling structured career pathway recommendations aligned with available vocational programs. The research demonstrates the application of Rapid Application Development (RAD) methodology in psychometric tool implementation, with emphasis on concurrent multi-user capability to accommodate large-scale testing populations.

Methods and approach

The development utilized Rapid Application Development methodology with active user participation throughout the design and implementation phases. The technical architecture incorporated the Moodle framework, PHP programming language, MySQL database management, and AWS Cloud hosting infrastructure. System validation employed blackbox testing to verify functional integrity across all application components. User evaluation was conducted through Likert-scale surveys (1-5 scale) administered to both student and teacher populations to assess usability, comprehension, efficiency, and effectiveness in supporting career trajectory determination.

Results

Blackbox testing confirmed proper execution of all application functions and features. User evaluation data indicated 72% mean agreement among respondents regarding ease of use, understandability, processing speed, and utility in vocational program selection. The application successfully automated the RMIB assessment process, eliminating temporal and resource constraints associated with manual administration while reducing potential evaluator bias. The system demonstrated capacity for simultaneous multi-user access appropriate for large-scale participant cohorts.

Implications

The study demonstrates the feasibility of applying RAD methodology to web-based psychometric instrument development in educational settings. Automation of the RMIB screening process addresses operational limitations inherent in manual administration, particularly relevant for institutions managing substantial candidate populations. The favorable user acceptance metrics suggest potential for broader institutional adoption and scalability.