Dinata, Candra
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Implementasi Kebijakan Penyediaan Beras Bagi Aparatur Sipil Negara: Perspektif Model Advocacy Coalition Framework (ACF): (Studi pada Peraturan Bupati Nomor 64 Tahun 2021, Pemerintah Kabupaten Sumenep) Bisri, Mashur Hasan; Dinata, Candra; Sarmini, Sarmini; Gamaputra, Gading; Pradana, Galih Wahyu
Journal of Indonesian Rural and Regional Government Vol 9 No 1 (2025): Special Issue
Publisher : Magister Ilmu Pemerintahan Sekolah Tinggi Pembangunan Masyarakat Desa "APMD" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47431/jirreg.v9i1.650

Abstract

Implementation of policy Number 64 of 2021 concerning the provision of rice for the State Civil Apparatus (ASN) as a form of government favoritism to empower farmers by buying local agricultural products due to food price instability, economically affecting ASN's food needs so that ASN performance productivity decreases. This research study aims to explain the implementation of the rice provision policy for ASN based on Regent Regulation Number 64 of 2021 in Sumenep district, in the perspective of the Advocacy Coalition Framework (ACF) Model. The research method used is qualitative research. The results of this study are first, individual actors influencing the policy-making process of providing rice for ASN provide input in formulating strategies or actions taken to achieve the desired goals and objectives of the rice provision policy for ASN. However, the implementation of this policy considers aspects of sustainability and is not only temporary in order to provide sustainable benefits for ASN in the Sumenep district government. second, group actors have different roles depending on the stage of the ongoing policy cycle. group actors can assist in identifying problems or issues raised in the rice provision policy process for ASN.
The potential of artificial intelligence in vocational education research and development: A bibliometric study Dinata, Candra; Milansari, Ima Luciany; Triyono, Mochamad Bruri; Pratama, Galeh Nur Indriatno Putra
Jurnal Pendidikan Vokasi Vol. 15 No. 1 (2025): February
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i1.77873

Abstract

Artificial Intelligence (AI) is emerging as a revolutionary force that is changing how we interact and work and redefining the global education landscape, especially Vocational Education (VE). AI is an opportunity to develop learning research and good vocational Education. However, this opportunity has not been correctly utilized because not all educators can develop research and AI-based learning content well. This article reveals opportunities for current and future research development related to AI and vocational Education through bibliometric analysis. The database comes from Scopus, and 159 articles were analyzed from 2014 to 2023. Bibliometric analysis of documents, including author name, journal network, country, and keywords, is visualized using the VOSviewer program. The findings reveal three key insights: (1) research remains concentrated in vocational health, with limited exploration in other sectors such as engineering, tourism, and agriculture; (2) international collaboration is still weak, despite strong potential between countries with high and emerging publication rates; and (3) keyword clusters highlight Apprenticeship, Students, Artificial Intelligence, and Engineering Education as the main thematic areas. These insights form a roadmap for future research that emphasizes diversifying AI applications across vocational sectors, fostering cross-border collaboration, and developing innovative themes around curricula, personalized learning, and simulation-based training. Despite limitations related to database and language scope, this study offers strategic directions for advancing AI in VE research and strengthening its contributions to global vocational education development.