PSYTEENS: PENGEMBANGAN SISTEM ASESMEN STRES DENGAN ADAPTIVE LIKERT SCALING DAN REVERSE SCORING INTELLIGENCE

M. Fadli Ridhani; Muhammad Hidayat; Jiki Romadoni; Hajie Ahmad Makie

doi:10.37600/tekinkom.v8i2.2529

M. Fadli Ridhani Politeknik Hasnur
Muhammad Hidayat
Jiki Romadoni
Hajie Ahmad Makie

DOI: https://doi.org/10.37600/tekinkom.v8i2.2529

Abstract

Mental health problems, particularly stress, among junior and senior high school students have become an urgent issue due to increasing academic pressure and limited early detection mechanisms in schools. Existing stress assessments are mostly paper-based, time-consuming, error-prone, and lack real-time analytical capabilities, creating a gap between validated psychological instruments and practical school implementation. This study aims to develop PsyTeens, a web-based adaptive stress assessment system that integrates a validated multidimensional stress instrument with an automated reverse scoring mechanism and real-time analytics. The research employed a Research and Development approach using a waterfall model, involving needs analysis, system design, implementation, and testing. The system implements a 20-item Likert-scale (0–4) instrument covering ten stress dimensions, with automatic reverse scoring for positive items and percentage-based stress categorization. The results show that PsyTeens successfully performs accurate automated scoring, classifies stress levels into five categories, and provides real-time subscale analysis through an interactive dashboard. System testing confirms the correctness of the reverse scoring algorithm and the consistency of stress categorization results. In conclusion, PsyTeens effectively addresses the limitations of conventional stress assessment by offering a valid, efficient, and scalable digital solution for early detection and monitoring of student stress in school settings.

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