Development of a Model for Increasing Village Government Resources Based on Recognition of Past Learning

Authors

  • Arief Rohman Universitas Negeri Semarang, Indonesia
  • Zaenuri Zaenuri Universitas Negeri Semarang, Indonesia
  • Nanik Wijayati Universitas Negeri Semarang, Indonesia
  • Fathur Rokhman Universitas Negeri Semarang, Indonesia

Keywords:

village governments; human resources; recognition of past learning; development model

Abstract

Village governments have an important role in national development, but still face various challenges in improving human and organizational resources. In addition, the village government also plays a crucial role in the management and development of rural areas. To improve the effectiveness of village government performance, it is necessary to make efforts to improve existing human resources. This study aims to develop a model for increasing village government resources based on recognition of past learning (RPL). RPL is a process of acknowledging one's competence based on formal, non-formal and informal learning experiences. This model is expected to provide incentives for village apparatus to improve the quality of public services and community participation. This study uses research and development (R&D) methods with preliminary study stages, model development, model validation, and model trials. The results showed that the developed RPL model had four main components, namely: (1) village government competency standards; (2) process of identification, documentation and verification of competency; (3) certification and award mechanisms; and (4) continuous competency development program. This model received positive responses from experts and practitioners, and had a positive impact on increasing the motivation, performance and capacity of village apparatus in trials conducted in Blora Regency, Jawa Tengah.

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Published

2023-09-08

How to Cite

Rohman, A., Zaenuri, Z., Wijayati, N., & Rokhman, F. (2023). Development of a Model for Increasing Village Government Resources Based on Recognition of Past Learning. International Conference on Science, Education, and Technology, 9(1), 966–971. Retrieved from https://proceeding.unnes.ac.id/ISET/article/view/2539

Issue

Section

901-1000

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