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All Journal Jurnal INFOTEL SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
putri taqwa prasetyaningrum
Universitas Mercu Buana Yogyakarta, Indonesia
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Integrating Gamification in Expert Systems: A Novel Approach for Stress Disorder Diagnosis in Digital Mental Health putri taqwa prasetyaningrum; Norshahila Ibrahim; Reny Yuniasanti; Ibnu Rivansyah Subagyo
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1324

Abstract

The increasing prevalence of stress disorders highlights the need for innovative, accessible, and engaging diagnostic tools in mental health services. This study presents the design and implementation of a gamified expert system for diagnosing stress disorders, integrating gamification elements to enhance user engagement and reduce stigma. The system employs the forward chaining method to deliver high-accuracy, rule-based diagnoses while incorporating features such as points, rewards, and leaderboards to motivate user interaction.The system's development followed a user-centered design approach to ensure an intuitive interface aligned with user needs. Evaluation results demonstrated a diagnostic accuracy rate of 92%, validated by mental health professionals, alongside significant improvements in user engagement metrics, including session frequency and duration. Qualitative feedback indicated that gamification effectively reduced stigma and increased motivation for mental health assessments.These findings suggest that gamified expert systems can bridge gaps in accessibility and engagement in mental health services. This research contributes to the advancement of digital health technologies by providing practical insights into integrating gamification into expert systems to foster proactive mental health management.
Implementasi Business Intelligence Untuk Menganalisis Jumlah Mahasiswa Baru Tahun 2024 di Universitas Mercu Buana Yogyakarta Putry Wahyu Setyaningsih; Putri Taqwa Prasetyaningrum
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14756830

Abstract

Visualisasi data adalah representasi data dalam bentuk grafik, diagram, atau elemen visual lainnya yang memudahkan pemahaman pola, tren, dan informasi dari data tersebut. Visualisasi data membantu menyampaikan informasi kompleks secara lebih sederhana dan intuitif. Jumlah mahasiswa baru merupakan indikator penting dalam mengevaluasi kinerja dan daya saing suatu institusi pendidikan tinggi. Namun, analisis data jumlah mahasiswa baru seringkali menghadapi kendala, seperti kurangnya visualisasi data yang disajikan. Implementasi Business Intelligence (BI) menjadi solusi strategis untuk mengatasi masalah tersebut dengan menyediakan platform yang memungkinkan menyajikan visualisasi data secara efektif. Penelitian ini bertujuan untuk menerapkan BI dalam menganalisis jumlah mahasiswa baru. Alat yang digunakan dalam pengembangan BI meliputi perangkat lunak pengolahan data dan platform dashboard seperti Looker Studio. Hasil implementasi menunjukkan bahwa BI mampu memberikan wawasan yang lebih mendalam mengenai tren penerimaan mahasiswa baru. Dengan demikian, penerapan BI dapat meningkatkan efisiensi analisis data dan mendukung pengambilan keputusan strategis di institusi pendidikan tinggi.
Co-Authors Ibnu Rivansyah Subagyo Norshahila Ibrahim Putry Wahyu Setyaningsih Reny Yuniasanti