Factors that Improve Performance with Competence as a Moderating Variable in Government Internal Supervisory Apparatus in Riau Island Province

The Government Internal Supervisory Apparatus (APIP) plays a vital role in supporting the success of regional development by ensuring that the implementation of the Regional Budget (APBD) is carried out effectively and efficiently. To fulfill this strategic role, APIP must demonstrate strong performance, which in turn must be supported by improvements in other key elements that influence performance. Through the competency of Inspectorate of Riau Islands Province personnel, this study seeks to assess the influence of work culture, work environment, and education and training on APIP performance. Utilizing a questionnaire instrument, a quantitative research technique was utilized. Data was gathered from 170 respondents selected by purposive sampling. Structural Equation Modeling (SEM) was used to assess the data. While the work environment did not demonstrate a substantial influence on APIP performance, the data suggest that work culture does. Performance was discovered to be positively affected by education and training. In addition, the correlation between competence and both work culture and performance and work environment and performance was demonstrated. There was a correlation

Authors

Institutions

Publication Details

Journal
Dinasti International Journal of Education Management And Social Science
Published
2025-08-25
DOI
https://doi.org/10.38035/dijemss.v6i6.4994
Primary Topic
Employee Performance and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors that Improve Performance with Competence as a Moderating Variable in Government Internal Supervisory Apparatus in Riau Island Province

Evi Silvana muchsinati, Ernis Yunianti, Dessy Aliandrina
Dinasti International Journal of Education Management And Social Science
Employee Performance and Management
article

Factors that Improve Performance with Competence as a Moderating Variable in Government Internal Supervisory Apparatus in Riau Island Province

Evi Silvana muchsinati, Ernis Yunianti, Dessy Aliandrina
article en

Abstract

The Government Internal Supervisory Apparatus (APIP) plays a vital role in supporting the success of regional development by ensuring that the implementation of the Regional Budget (APBD) is carried out effectively and efficiently. To fulfill this strategic role, APIP must demonstrate strong performance, which in turn must be supported by improvements in other key elements that influence performance. Through the competency of Inspectorate of Riau Islands Province personnel, this study seeks to assess the influence of work culture, work environment, and education and training on APIP performance. Utilizing a questionnaire instrument, a quantitative research technique was utilized. Data was gathered from 170 respondents selected by purposive sampling. Structural Equation Modeling (SEM) was used to assess the data. While the work environment did not demonstrate a substantial influence on APIP performance, the data suggest that work culture does. Performance was discovered to be positively affected by education and training. In addition, the correlation between competence and both work culture and performance and work environment and performance was demonstrated. There was a correlation

Dinasti International Journal of Education Management And Social ScienceVol. 6(6)
International University of Batam (ID)
Openalex Percentile: Top 55%
Employee Performance and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.