Vol. 4 No. 2 (2024): Jutisal Jurnal Teknik Informatika Universal
Published:
2024-11-30
Articles
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Rancang Bangun Sistem Informasi Kesehatan Mental Mahasiswa Berbasis Web Untuk Indikasi Burnout Akademik di AMIK Universal
Lusi Victoria Lumbangaol Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Muhammad Eka Zuwanda Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Harsinah Yohanni Tumanggor Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Imam Setiawan Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal Indonesia , Nova Legahati Siregar Program Studi Manajemen Sumber Daya Manusia Sektor Publik, Akademi Manajemen Informatika Komputer Universal IndonesiaAcademic 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.
Pages: 1-11Views: 0 Downloads: 0Rancang Bangun Sistem Informasi Monitoring Penggunaan Media Sosial Untuk Mendeteksi Indikasi FOMO dan Dampaknya Pada Produktivitas Akademik Mahasiswa
Imam Setiawan Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Fatimah Zuhra Hasibuan Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Dea Nita Deslia Sari Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Fachrun Nissa Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal Indonesia , Muhammad Harpis Program Studi Manajemen Sumber Daya Manusia Sektor Publik, Akademi Manajemen Informatika Komputer Universal Indonesia , Aprima Matondang Program Studi Teknik Informatika, Akademi Manajemen Informatika Komputer Universal IndonesiaThe rapid development of social media has brought significant changes in the way students interact and access information. One of the psychological impacts arising from intensive social media use is the Fear of Missing Out (FOMO), which is characterized by anxiety and fear of being left behind by information or activities experienced by others. FOMO can negatively affect students' academic productivity, including reduced concentration, delayed task completion, and decreased academic achievement. This study aims to design and build a web-based social media usage monitoring information system to detect indications of FOMO and its impact on the academic productivity of Management Informatics 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 FOMO questionnaire, automatic scoring, FOMO level categorization, social media usage tracking, 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 FOMO with 87% accuracy, increases early detection efficiency by 68%, and achieves a user satisfaction score of 4.33 (very good category). This study concludes that the web-based monitoring system is effective in detecting FOMO and can be implemented in higher education institutions to support student academic productivity.
Pages: 12-24Views: 0 Downloads: 0
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Jutisal Jurnal Teknik Informatika Universal is a peer-reviewed academic journal that publishes scientific research and scholarly works in the field of Informatics and Computer Science.
e-ISSN: 2797-9512
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