(Cover + Daftar Isi + Similarity + Artikel Document) The Capacity of the Jember Regency Community and Village Empowerment Service (DPMD) in Using Artificial Intelligence to Strengthen the Village Financial System

Wicaksono, Itok (2020) (Cover + Daftar Isi + Similarity + Artikel Document) The Capacity of the Jember Regency Community and Village Empowerment Service (DPMD) in Using Artificial Intelligence to Strengthen the Village Financial System. https://iopscience.iop.org/, ASIA.

	Text Cover (3).pdf Download (52kB)
	Text Daftar Isi (1).pdf Download (37kB)
	Text Similarity The Capacity of the Jember Regency Community and Village Empowernment Service (DPMD) in Using Artifi.pdf Download (631kB)
	Text Artikel (3).pdf Download (618kB)

Abstract

This study aims to determine the extent of the capacity of the Community and Village Empowerment Service in strengthening data transparency in the Village Financial System (Siskuid). The method used in this study is a qualitative approach, while data sources were obtained from the Community and Village Empowerment Service of Jember Regency. The data were collected through interviews, observation, and documentation. The results of his research are the capacity of the Community and Village Empowerment Service in strengthening data transparency in the village financial system in Jember Regency. There are several aspects including; processes, human resources, strategy, and organizational structure. The efforts of the Jember District Government's Community and Village Empowerment Service in using artificial intelligence to strengthen data transparency in the Village Financial System are somewhat weak. From the perspective of their institutional capacity, their improvement in the Village Financial System Program based on data transparency is also categorized as poor even though all villages in Jember Regency have used the online Village Financial System in December 2019

Item Type:	Peer Review
Uncontrolled Keywords:	DPMD Capacity, Public Transparency, Siskeudes, Human Resources, Artificial Intelligence
Subjects:	300 Social Science > 320 Political dan Government Science > 321 System of Government and States
Divisions:	Faculty of Social and Politics Science > Department of Government Science (S1)
Depositing User:	Wicaksono Itok
Date Deposited:	30 May 2023 05:40
Last Modified:	30 May 2023 05:40
URI:	http://repository.unmuhjember.ac.id/id/eprint/17055

Actions (login required)

View Item