PENGARUH PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP KUALITAS PELAYANAN PUBLIK DI KANTOR DESA MARIO

This study aims to examine the utilization of information technology on the quality of public services and the factors that influence the utilization of information technology on the quality of public services at the Mario Village Office. The type of research used in this study is a quantitative approach. The sample of this study was 37 people. The sampling method used saturated samples. The data collection technique used in this study was a questionnaire. Data analysis was carried out using simple linear regression analysis with the help of SPSS version 22.0 for windows. Based on the results of the simple null regression test, the significance value is 0.003 <0.05 and the calculated t value is 3.143> t table 1.689, which means that there is an influence. The use of information technology has an influence of 57,2 % on the quality of public services at the Mario Village Office, while the remaining 42,8 % is influenced by other variables that were not studied. Factors that influence the quality of public services at the Mario Village Office are Social Factors, Affect, Complexity, Task Suitability, Long-Term Consequences, Facilitating Conditions. So, the value of the factors that influence the quality of public services at the Mario Village Office is 80% of the 100% expected results.

Authors

Publication Details

Journal
GOVERNANCE Jurnal Ilmiah Kajian Politik Lokal dan Pembangunan
Published
2024-09-05
DOI
https://doi.org/10.56015/gjikplp.v11i1.276
Primary Topic
SMEs Development and Digital Marketing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PENGARUH PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP KUALITAS PELAYANAN PUBLIK DI KANTOR DESA MARIO

Nurul Hikma, Kamaruddin Sellang, Abd Razak Useng, Yasir Sani
GOVERNANCE Jurnal Ilmiah Kajian Politik Lokal dan Pembangunan
SMEs Development and Digital Marketing
article

PENGARUH PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP KUALITAS PELAYANAN PUBLIK DI KANTOR DESA MARIO

Nurul Hikma, Kamaruddin Sellang, Abd Razak Useng, Yasir Sani
article en

Abstract

This study aims to examine the utilization of information technology on the quality of public services and the factors that influence the utilization of information technology on the quality of public services at the Mario Village Office. The type of research used in this study is a quantitative approach. The sample of this study was 37 people. The sampling method used saturated samples. The data collection technique used in this study was a questionnaire. Data analysis was carried out using simple linear regression analysis with the help of SPSS version 22.0 for windows. Based on the results of the simple null regression test, the significance value is 0.003 <0.05 and the calculated t value is 3.143> t table 1.689, which means that there is an influence. The use of information technology has an influence of 57,2 % on the quality of public services at the Mario Village Office, while the remaining 42,8 % is influenced by other variables that were not studied. Factors that influence the quality of public services at the Mario Village Office are Social Factors, Affect, Complexity, Task Suitability, Long-Term Consequences, Facilitating Conditions. So, the value of the factors that influence the quality of public services at the Mario Village Office is 80% of the 100% expected results.

GOVERNANCE Jurnal Ilmiah Kajian Politik Lokal dan PembangunanVol. 11(1)
Openalex Percentile: Top 49%
SMEs Development and Digital Marketing
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.