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Measuring the Effectiveness of State Civil Apparatus Training Rahayu, Neneng; Suryanto, Adi; Andriansyah, Andriansyah; Irawati , Erna
Research Horizon Vol. 2 No. 5 (2022)
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.2.5.2022.82

Abstract

The study discusses the crucial role of training evaluation for State Civil Apparatus (Aparatur Sipil Negara or ASN) and how the shift to distance learning methods, particularly during the COVID-19 pandemic, has impacted training effectiveness. The evaluation aims to measure the impact of training on participants’ knowledge, skills, and attitudes, as well as its effects on the organizations. The results of the evaluation indicate that distance learning is preferred by alumni due to its flexibility, but there is a need for higher-quality facilitators in delivering content via information technology. Despite the remote nature of training, participants still achieve their intended competencies. The evaluation also assesses the impact of training on participants’ behavior and workplace performance. Notably, National Leadership Training Level I and II have a more positive influence on sustainability and work performance when using blended learning, while Administrator Leadership Training, Supervisory Leadership Training, and the Pre-Service Training Program show a stronger impact on sustainability and work performance with distance learning. The findings emphasize the significance of the chosen learning method in shaping training outcomes. This information is valuable for refining training policies to meet the evolving demands of the bureaucracy.
Implementation of the Single Data Population Policy at the Central Bureau of Statistics and the Directorate General of Population and Civil Registration of the Ministry of Home Affairs Abdul Azis, Mohamad; Rahayu, Neneng; Widjayanti, Arifiani
Journal of Public Administration and Government Vol. 6 No. 1 (2024)
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/jpag.v6i1.1053

Abstract

There is an overlap in policies between Statistics Law No. 16 of 1997 and Law No. 24 of 2013. The difference in data from the Central Statistics Agency and Dukcapil causes confusion for data users. The research aims to determine the factors that influence the effectiveness or ineffectiveness of the content and context of the Implementation of the One Population Data Policy and to develop strategies in order to improve the Implementation of the One Population Data Policy of the Central Bureau of Statistics with Dukcapil. This discussion is about how to implement a single population data policy from the content and context in Merilee S. Grindle's view. The results of the research found that based on the content of policy, the factors that influence the implementation of the one population data policy cause the implementation of the one population data policy of the Central Bureau of Statistics and Dukcapil not to run optimally, this is because there are inhibiting factors that influence the implementation of the one population data policy, namely the interest factor of the target group, the type of benefit factor and the degree of change desired. Based on the Policy Implementation Context (Context of Implementation), there are inhibiting factors that influence the implementation of population data policies, namely the factor of how much power, interest and strategy the actors involved in implementing the policy have. Conclusion: The process of implementing the single population data policy between the Central Statistics Agency and Dukcapil is already underway, but it is not yet running optimally, requiring a long process. To realize one population data, the following recommendations need to be made: Strengthening the device system used to support the implementation of population data integration and technological maintenance. Eliminate sectoral egos between related agencies. to synchronize population data, coordinate continuously and carry out joint monitoring and analysis between agencies.