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Machine Learning-Based Heart Failure Worsening Prediction Model to Build Self-Monitoring Prototype as an Effort to Prevent Readmissions and Maintain Quality of Life Rahardja, Untung; Hartomo, Kristoko Dwi; Sutedja, Indrajani; Kho, Ardi; Kamil, Muhammad Farhan
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1467

Abstract

Heart failure is a long-term condition of great concern which calls for health care services in cycles. This significantly hampers quality of life for patients and increases costs for the healthcare systems. If the worsening of heart failure could be detected early, the intervention to prevent readmission could be employed, such that readmission would be avoided, enhancing the quality of life for the patient. Accordingly, the paper explains how such a model to predict the worsening of heart failure in patients who are at high risk of this condition has been developed. The model uses information gathered from the Electronic Health Records (EHRs) (Clinical Variables, Vitals, Test Results, and Demographics) to make accurate predictions on patients. As an effective and efficient approach towards achieving this goal, comparison of different algorithms such as random forests, support vector machines and gradient boosting has been employed towards the building of the final model. At this stage, the model is embedded into a user-friendly self-monitoring device, allowing the chronic heart failure patients to assess health indices on the fly with the help of the mobile app and wearable devices. This secondary prevention strategy makes patients more responsible for their health and decreases the number of patients readmitted to the hospital by increasing their functioning and well-being. The paper further projects the future development of other forms of treatment for chronic heart failure, especially at the first line, focusing primarily on the timing and succession.
Pancasila as the Ethical Foundation of Nation and State in the Digital Era kamil, Muhammad Farhan; Evriano, Wahyu Reygil; Armi, Meily
Jurnal Edukasi Terkini Vol. 2 No. 4 (2025): October-December
Publisher : Borneo Novelty Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70310/

Abstract

Abstrak Purpose-This study analyzes the role of Pancasila as an ethical foundation for nationhood and citizenship in Indonesia amid the rapid transformations brought by the digital age. The research seeks to explain how Pancasila’s core values can guide civic ethics in an era marked by intensified technological influence on social interaction, political communication, and cultural identity. Research Methodology/Design/Approach-Using a qualitative approach with descriptive analysis, the study examines the application of Pancasila within the domains of digital citizenship education, social media behavior, and public policy frameworks. Data were synthesized from document analysis, observations of digital civic practices, and relevant academic literature. Findings – The results reveal that Pancasila remains highly relevant as a normative compass for addressing digital-era challenges, particularly ethical degradation, polarization, and misinformation. The study finds that strengthening Pancasila-based ethics can be implemented through three key strategies: (1) integration of Pancasila values in digital citizenship education, (2) development of ethical guidelines for responsible social media engagement, and (3) formulation of public policies that reinforce democratic values and social cohesion. However, challenges persist, including inconsistent digital literacy, algorithm-driven bias, and the weakening of communal norms in online interactions. Originality/Value-This study contributes to contemporary civic education discourse by offering a conceptual model for revitalizing Pancasila ethics in digital society. It highlights the need for collaborative efforts between government, educational institutions, and civil society to develop context-sensitive interventions capable of nurturing ethical and responsible citizenship in an increasingly digitalized Indonesia.
Evaluating Smart Mobile Public Services for Bridging Digital Divide in Rural Governance Systems Muhtarom, Muhtarom; Desrianti, Dewi Immaniar; Sukendri, Nengah; Green, Thomas; Kamil, Muhammad Farhan
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1065

Abstract

The persistent digital divide remains a critical challenge for rural governance, particularly in developing regions where disparities in infrastructure, digital literacy, and institutional capacity hinder equitable access to public services. This study aims to evaluate the impact of mobile-based public services on improving governance outcomes, specifically in terms of accessibility, efficiency, transparency, citizen participation, and public trust within rural contexts. A quantitative research design is employed using Structural Equation Modeling (SEM), based on survey data collected from 250 rural respondents and supported by national digital access indicators to ensure empirical robustness. The results reveal that mobile-based public services significantly enhance governance performance, with strong positive effects on accessibility (β= 0.72), efficiency (β = 0.68), and transparency (β = 0.70). These improvements subsequently foster higher levels of citizen participation (β = 0.75), which plays a critical mediating role in strengthening public trust (β = 0.80). Additionally, the measurement and structural models demonstrate strong reliability, convergent validity, discriminant validity, and overall model fit, confirming the robustness of the proposed framework. This study contributes to the digital governance literature by offering an integrated socio-technical and empirical SEM-based framework that explains how mobile-based services can effectively bridge the digital divide and enhance rural governance outcomes. Furthermore, it provides practical and policy-relevant insights aligned with Sustainable Development Goals (SDG 9, SDG 10, and SDG 16), supporting inclusive and sustainable digital transformation strategies.