Rancang Bangun Sistem Informasi Kesehatan Mental Mahasiswa Berbasis Web Untuk Indikasi Burnout Akademik di AMIK Universal

Abstract

Academic burnout has become an increasingly concerning issue among higher education students, especially in the post-pandemic era where online learning systems have become an integral part of the educational process. Academic burnout is characterized by emotional exhaustion, depersonalization, and reduced personal accomplishment, which can negatively impact students' academic performance and mental health. This study aims to design and build a web-based mental health monitoring information system to detect indications of academic burnout among students at AMIK Universal. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system features a digital Maslach Burnout Inventory (MBI) questionnaire, automatic scoring, burnout level categorization, student dashboard, lecturer dashboard, early notification, intervention recommendations, and periodic reports. Data were collected through interviews with 5 lecturers and 15 students, observation, and documentation. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT) with 30 respondents. The results show that the system successfully detects indications of academic burnout with 88% accuracy, increases early detection efficiency by 70%, and achieves a user satisfaction score of 4.35 (very good category). This study concludes that the web-based monitoring system is effective in detecting academic burnout and can be implemented in higher education institutions to support student mental health.