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All Journal INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Nomico Technologia Journal
Mansyur Djamal
Universitas Bumi Hijrah Tidore
Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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 1 
Implications of Village Fund Policy on Shifts in Social Values of the Tului Village Community Karjo Nalu; Mansyur Djamal
International Journal of Education, Information Technology, and Others Vol 5 No 5 (2022): International Journal of Education, information technology and others
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7414357

Abstract

Village fund policies not only have a positive impact on the community in development but also have a negative impact on shifting social values ​​in society. Shift in social values reflected in individual behavior in society, the behavior in question is an attitude of mutual cooperation, solidarity, and tolerance slowly starting to shift to a transactional attitude. The transactional attitude is a trigger for conflicts of interest for figures in the village so that social values ​​are no longer the basis of the community. Therefore, this study aims to explore social values ​​that have experienced a shift as an integral part of the implications of village fund policies. The approach used in this research is a qualitative approach with the type of case study research. This research was conducted in Tului Village, Oba District, Tidore Islands City by using observation, interview and documentation data collection techniques. While the sources use primary and secondary sources. The findings in this study explain that before the implementation of village funds was still strong in the life
Policy Strategy to Accelerate Digitalization in the era of revolution 5.0 in developing countries Isra Muksin; Mansyur Djamal; Ardiyanto Saleh Modjo; Nurwita
Nomico Vol. 1 No. 11 (2024): Nomico-December
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/e2p7m511

Abstract

The rapid advancement of technology in the era of Industry 5.0 necessitates accelerated digitalization in developing countries to enhance economic growth, improve competitiveness, and reduce socio-economic disparities. This study employs a quantitative research method, utilizing survey data collected from 230 respondents representing diverse sectors, including government, private enterprises, and educational institutions. The primary objective is to assess the effectiveness of policy strategies in fostering digital transformation, with a focus on identifying key drivers and barriers. The results emphasize the critical role of robust digital infrastructure, targeted government incentives, and active engagement in public-private partnerships. Additionally, the study highlights the significance of digital literacy programs in bridging skill gaps and promoting innovation. Findings suggest that countries prioritizing comprehensive digital policies, workforce upskilling, and inclusive technology adoption demonstrate marked progress in their digitalization efforts. This paper concludes by recommending the implementation of adaptive regulatory frameworks, increased investments in emerging technologies, and strengthened collaboration across sectors to drive long-term, sustainable digital growth and development in the context of Industry 5.0.  
The Impact Of Revolution 5.0 on Digital Government and Public Service Efficiency Isra Muksin; Mansyur Djamal; Jacky Chin; Yunus Arifien
Nomico Vol. 1 No. 11 (2024): Nomico-December
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/e0tesm59

Abstract

  This study explores the impact of Revolution 5.0 on public service efficiency in the context of digital governance. The primary aim of the research is to assess how advanced technologies such as Artificial Intelligence (AI), Big Data, and the Internet of Things (IoT) are influencing the performance and efficiency of government services. This study uses a quantitative research approach, employing a descriptive and explanatory design to describe the phenomenon and analyze the relationship between Revolution 5.0 technologies (independent variable) and public service efficiency (dependent variable). Data were collected through a survey administered to 250 respondents, including government employees, State Civil Apparatus (ASN), and the public, using a structured questionnaire with Likert scale items. The findings indicate that the integration of digital technologies significantly enhances administrative efficiency, reduces processing time, and improves public satisfaction with government services. The study contributes valuable insights into the ongoing digital transformation in public administration and provides recommendations for improving digital literacy among civil servants to further optimize service delivery.  
Utilizing Artificial Intelligence to Optimize Public Services: A Case Study in Regional Government Isra Muksin; Mansyur Djamal
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/05hdgw13

Abstract

This study aims to analyze the use of Artificial Intelligence (AI) to optimize public services in local governments, while identifying challenges and opportunities for its implementation. The research method used is a qualitative case study approach, through in-depth interviews, observations, and documentation analysis. The results show that the application of AI through service chatbots, digital queuing systems, and population data analysis can improve bureaucratic efficiency, reduce public waiting times, and increase public satisfaction. However, AI implementation still faces challenges such as limited infrastructure, lack of human resource competency, resistance from some employees, and public doubts about data security. This study confirms that the success of AI adoption in local governments is determined not only by technological readiness, but also by data protection policies, change management, and increasing public digital literacy.
Co-Authors Ardiyanto Saleh Modjo Chin, Jacky Isra Muksin Karjo Nalu Nurwita Yunus Arifien