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Data Governance and Privacy in Sulu, Philippines: Building Trust and Ensuring Accountability in Digital Public Service Delivery Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Jul-Asri A. Hadjibun; Merhana Taraji
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 1 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i1.283

Abstract

The province of Sulu in the Philippines faces unique challenges in implementing digital governance initiatives due to its geographical remoteness, socio-economic disparities, and security concerns. This study examines the critical issue of data governance and privacy in Sulu's digital public service delivery, focusing on building trust and ensuring accountability. This research employed a mixed-methods approach. Quantitative data was collected through a survey of 300 residents of Sulu involved in accessing digital public services. Qualitative data was gathered through semi-structured interviews with 20 key informants, including local government officials, civil society representatives, and technology experts. The study analyzed existing policies and frameworks related to data governance and privacy in the Philippines and compared them with international best practices. The findings revealed a significant gap between policy aspirations and the reality on the ground. While national policies emphasize data privacy and security, awareness and implementation at the local level in Sulu remain limited. The study identified challenges such as lack of digital literacy, inadequate infrastructure, and concerns about data misuse. However, it also highlighted opportunities for leveraging digital technologies to improve transparency, accountability, and citizen participation in public service delivery. In conclusion, this study provides valuable insights for policymakers and practitioners working on digital governance in Sulu and other similar contexts. It emphasizes the need for context-specific strategies that prioritize community engagement, capacity building, and robust oversight mechanisms to ensure responsible and ethical data governance.
Cultivating Ethical Leadership in Public Administration: Integrating Social Justice and Equity into Educational Programs in Sulu, Philippines Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Jul-Asri A. Hadjibun; Merhana Taraji
Enigma in Education Vol. 2 No. 2 (2024): Enigma in Education
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/edu.v2i2.79

Abstract

Ethical leadership is crucial in public administration, particularly in regions like Sulu, Philippines, which faces complex governance challenges, including poverty, inequality, and conflict. This study explores the integration of social justice and equity into public administration educational programs to cultivate ethical leaders who can address these challenges effectively. A mixed-methods approach was employed, including a survey of 100 public administration students and faculty members in Sulu, and in-depth interviews with 10 experienced public administrators. Quantitative data were analyzed using descriptive statistics and correlation analysis, while qualitative data were analyzed1 thematically. The findings revealed a strong awareness among students and faculty of the importance of social justice and equity in public administration. However, there were gaps in integrating these concepts into the curriculum and pedagogy. Experienced administrators emphasized the need for practical experience and mentorship to develop ethical leadership skills in the context of Sulu's unique challenges. In conclusion, this study highlights the need for educational reform in public administration programs in Sulu to strengthen the cultivation of ethical leadership. Recommendations include incorporating experiential learning opportunities, community engagement, and culturally relevant case studies to bridge the gap between theory and practice.
Data Governance and Privacy in Sulu, Philippines: Building Trust and Ensuring Accountability in Digital Public Service Delivery Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Jul-Asri A. Hadjibun; Merhana Taraji
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 1 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i1.283

Abstract

The province of Sulu in the Philippines faces unique challenges in implementing digital governance initiatives due to its geographical remoteness, socio-economic disparities, and security concerns. This study examines the critical issue of data governance and privacy in Sulu's digital public service delivery, focusing on building trust and ensuring accountability. This research employed a mixed-methods approach. Quantitative data was collected through a survey of 300 residents of Sulu involved in accessing digital public services. Qualitative data was gathered through semi-structured interviews with 20 key informants, including local government officials, civil society representatives, and technology experts. The study analyzed existing policies and frameworks related to data governance and privacy in the Philippines and compared them with international best practices. The findings revealed a significant gap between policy aspirations and the reality on the ground. While national policies emphasize data privacy and security, awareness and implementation at the local level in Sulu remain limited. The study identified challenges such as lack of digital literacy, inadequate infrastructure, and concerns about data misuse. However, it also highlighted opportunities for leveraging digital technologies to improve transparency, accountability, and citizen participation in public service delivery. In conclusion, this study provides valuable insights for policymakers and practitioners working on digital governance in Sulu and other similar contexts. It emphasizes the need for context-specific strategies that prioritize community engagement, capacity building, and robust oversight mechanisms to ensure responsible and ethical data governance.
Traditional vs. Tech-Driven: A Comparative Analysis of Service Delivery Models in Line Agencies across Urban and Rural Sulu, Philippines Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.59

Abstract

This study investigated the impact of technology on public service delivery in Sulu, Philippines, by comparing traditional and tech-driven models in line agencies across urban and rural settings. The research aimed to identify the benefits, challenges, and factors influencing the adoption and effectiveness of technology in enhancing citizen access, satisfaction, and efficiency. A mixed-methods approach was employed, combining quantitative surveys of citizens (n=300) and government employees (n=150) with qualitative interviews of key stakeholders (n=20) in both urban and rural line agencies. Data analysis included descriptive statistics, comparative analysis, and thematic analysis of interview transcripts. Simulated data was generated based on existing literature and reports to supplement primary data collection where access was limited. Tech-driven service delivery models in urban areas led to increased citizen access, reduced processing times, and improved transparency. However, challenges persisted in rural areas due to limited infrastructure, digital literacy gaps, and cultural preferences for traditional approaches. Factors influencing successful technology adoption included leadership commitment, staff training, community engagement, and ongoing technical support. In conclusion, this study highlights the transformative potential of technology in public service delivery in Sulu while emphasizing the need for context-specific strategies to address the unique challenges in rural communities. Recommendations include targeted investments in infrastructure, digital literacy programs, and culturally sensitive technology integration to ensure equitable access and maximize the benefits of tech-driven service delivery across Sulu.
Predictive Modeling in Cardiovascular Disease: An Investigation of Random Forests Mudzramer A. Hayudini; Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Abdulkamal H. Abduljalil; Nureeza J. Latorre; Fahra B. Sahibad
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.60

Abstract

Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Early detection and intervention are crucial for improving patient outcomes. Machine learning (ML) offers promising tools for CVD prediction, with random forests (RF) emerging as a robust and versatile algorithm. This study investigates the application of RF in predicting blood pressure categories, a crucial indicator of cardiovascular health, using a comprehensive dataset of patient metrics. This study investigated the application of RF in predicting blood pressure categories, a crucial indicator of cardiovascular health. A meticulously curated dataset from Kaggle, comprising 68,205 records and 17 features, was utilized. Key features such as weight, systolic and diastolic blood pressure (ap_hi, ap_lo), cholesterol, glucose, smoking, alcohol consumption, physical activity, and age were selected for predictive modeling. The RF model was trained and tested using a stratified split, and its performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrix. The RF model demonstrated exceptional accuracy in predicting blood pressure categories, achieving an accuracy score of 0.9999. The model also exhibited perfect precision and recall across all categories, indicating its ability to effectively capture complex relationships within the data and make reliable predictions. In conclusion, the findings validate the efficacy of RF as a powerful tool for CVD prediction. Its ability to handle complex interactions and provide accurate predictions underscores its potential to aid healthcare professionals in early diagnosis and personalized intervention strategies. Further research can explore the application of RF in predicting other CVD risk factors and outcomes.
Bridging the Archipelago: E-Governance and Access to Public Services in Sulu, Philippines Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Adzlan P. Hamsaji
Enigma in Economics Vol. 2 No. 2 (2024): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v2i2.77

Abstract

Geographic isolation, socioeconomic challenges, and security concerns have historically hindered public service delivery in Sulu, Philippines. This study investigated the role of e-governance in bridging this gap and enhancing citizen engagement with government services. A mixed-methods approach was employed. Quantitative analysis of government records assessed service utilization pre- and post-implementation of e-governance initiatives. A survey of 300 Sulu residents evaluated experiences with e-governance platforms. Qualitative data from semi-structured interviews with citizens and government officials provided contextual insights. E-governance platforms significantly increased public service utilization. Citizens reported improved convenience, reduced travel time and costs, and greater transparency. Challenges include digital literacy, limited internet connectivity, and trust in online platforms. In conclusion, e-governance has the potential to improve service access in Sulu. Successful implementation requires addressing infrastructure limitations, promoting digital literacy, and building trust in online services. This study informs strategies for leveraging technology for inclusive service delivery in marginalized communities.