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All Journal Babakti : Journal of Community Engangement Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications Babakti: Journal of Community Engangement
Sitorus, Anwar T
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Public Health Social Sciences Other

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Journal : digitus journal of computer science applications

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Toward Equitable Digital Mental Health: Integrating AI and Telepsychiatry in Global Practice Algristian, Hafid; Sitorus, Anwar T
Digitus : Journal of Computer Science Applications Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i2.834

Abstract

In response to the growing mental health crisis and the expansion of digital healthcare, this narrative review explores the application of telepsychiatry and artificial intelligence (AI) in mental health services. The study aims to synthesize recent developments, challenges, and future directions in digital mental health innovation. A systematic literature search was conducted across PubMed, Scopus, and Web of Science databases, focusing on studies published between 2016 and 2023. Keywords such as "telepsychiatry," "mental health," "artificial intelligence," and "technology adoption" were used to identify relevant empirical and theoretical works. Inclusion criteria emphasized real-world applications and stakeholder perspectives. The results reveal substantial variability in the understanding and implementation of telepsychiatry across different regions and populations. Socioeconomic factors, digital literacy, and cultural perceptions significantly influence the acceptance and success of digital interventions. While AI-driven tools improve diagnostic efficiency and reduce treatment delays, systemic barriers such as regulatory limitations, institutional resistance, and data privacy concerns impede widespread adoption. Comparative analysis highlights a more favorable reception in high-income countries, though underserved populations in both developed and developing nations continue to face accessibility challenges. These findings underscore the urgent need for inclusive policies, capacity-building initiatives, and ethical AI governance frameworks. Addressing these factors can bridge existing gaps and ensure more equitable mental healthcare. The study concludes by emphasizing the importance of sustained interdisciplinary research to refine telepsychiatric models and promote socially responsible technology integration.
Enhancing Software Quality Through Automated Code Review Tools: An Empirical Synthesis Across CI/CD Pipelines Gunawan, Budi; Sitorus, Anwar T
Digitus : Journal of Computer Science Applications Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i4.956

Abstract

Automated Code Review Tools (ACRT) have become increasingly integral to modern software development workflows, particularly within continuous integration and deployment (CI/CD) environments. This study aims to evaluate the effectiveness of ACRT in improving software quality, accelerating vulnerability remediation, and enhancing developer productivity. Using a combination of empirical analysis, industry case studies, and academic benchmarks, we examine how tools such as SonarQube, CodeQL, Copilot Autofix, and secret scanners impact key quality metrics including defect density, Mean Time to Repair (MTTR), and pull request (PR) throughput. A quasi experimental design was employed using Interrupted Time Series (ITS) and Regression Discontinuity Design (RDD) to measure longitudinal outcomes across six open source and enterprise projects. Results indicate that defect density decreased by 15–30% following ACRT adoption, accompanied by notable improvements in security MTTR. For example, Copilot Autofix reduced XSS remediation times from 180 minutes to just 22 minutes, underscoring the tool’s potential for accelerating vulnerability management. PR throughput also increased by up to 40%. However, this efficiency gain coincided with a 20–30% decline in human code review interactions, highlighting a trade-off between automation benefits and the reduced depth of manual oversight. We conclude that ACRT tools, when integrated thoughtfully into development pipelines, can deliver measurable improvements in software quality and responsiveness. However, sustained benefits require careful tuning, contextual alerting, and a hybrid review strategy that maintains human involvement to preserve long term maintainability.
Co-Designing Inclusive Interfaces: Participatory Approaches to Accessible E-Learning for Learners with Disabilities Dewi, Ratna Kusuma; Sitorus, Anwar T
Digitus : Journal of Computer Science Applications Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i1.1117

Abstract

Inclusive e-learning environments are essential for equitable access to education, especially for the over one billion people worldwide living with disabilities. However, many e-learning platforms fail to meet accessibility standards due to top-down, non-participatory design approaches. This study aims to evaluate how iterative participatory design methods, including low- and high-fidelity prototyping, impact the accessibility and usability of specific UI elements such as navigation, readability, and input modalities for learners with visual, motor, and cognitive disabilities. The research utilized an iterative participatory design framework involving 15 participants with diverse disabilities (visual, motor, cognitive). Through three stages—needs identification, low-fidelity prototyping, and high-fidelity UI development—users co-designed and evaluated inclusive UI features. Usability was measured through System Usability Scale (SUS) scores, task success rates, completion times, and qualitative interviews. Quantitative results showed a 37% increase in task success rate, a 45% reduction in error count, and an increase in SUS score from 61 to 84. Preferred features included keyboard navigation (93%), font size adjustment (87%), and high contrast modes (82%). Qualitative feedback highlighted the importance of layout consistency, minimal visual clutter, and labeled icons. The study found that participatory design yielded more functional and satisfying UIs than conventional methods and aligned well with accessibility standards like WCAG, UDL, and COGA, while also revealing their practical limitations. Participatory UI design significantly enhances the accessibility and usability of e-learning platforms. Involving users with disabilities as co-creators ensures better alignment with real needs and reinforces the ethical imperative of inclusive education. The findings support institutional adoption of participatory methods to create more equitable digital learning environments
Co-Authors Abdurrohman Algristian, Hafid Aminuyati Arainy, Corizon Sinar Budi Gunawan Daniel Happy Putra Dewi, Ratna Kusuma Diantoro, Karno Hamidan, Rusdi Juwari Rinaldo Samroh Saromah Soderi, Ahmad Sucipto, Purwo Agus Wulan, Anjelis Ratu Yamin, Muhammad Ikrar