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(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.

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Cover (3).pdf
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Daftar Isi (1).pdf
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Similarity The Capacity of the Jember Regency Community and Village Empowernment Service (DPMD) in Using Artifi.pdf
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Artikel (3).pdf

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

Informasi Item

Item Type Peer Review
Keywords/Kata Kunci 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)
Date Deposited 30 May 2023 05:40
Last Modified 30 May 2023 05:40
URI https://repository.unmuhjember.ac.id/id/eprint/17055

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