Quality of Driver's Licence Services at the Minahasa Police Administrative Organisation Unit

This research aims to describe the quality of service for the issuance of new SIM C and the factors that influence the Minahasa Police Administration Unit. The research method used is qualitative descriptive method and data collection using observation, interview, and documentation techniques, the data obtained are analyzed with interactive analysis models. Informants as data sources are officers and applicant for a new SIM C at the Minahasa Police Administration Unit. The result of this study show that the quality of service for the issuance of a new SIM C at the Minahasa Police Administration Unit in terms of indicators of physical tangible, reliability, responsiviness, assurance, and empathy can be said to be not good. The factors that affect the quality of SIM services are system factors in the form of networks and the absence of a queuing system, personal factors in the form of officer behavior and performance, and human resources factors. Researchers provide recommendations to the Minahasa Police Administration Unit to improve the facilities and infrastructure needed for effective and efficient services, provide anti-scalper socialization to the community, conduct training and guidance for officers to be better and competent, add officers to optimize services, create a queuing system, conduct monitoring and evaluation.

Authors

Publication Details

Journal
Technium Social Sciences Journal
Published
2024-11-13
DOI
https://doi.org/10.47577/tssj.v64i1.11991
Primary Topic
Legal and Policy Analysis in Indonesia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quality of Driver's Licence Services at the Minahasa Police Administrative Organisation Unit

Steven Tarore, Juwita Yulianti Silaban, Meity Najoan, Delma Marlina Pasla et al.
Technium Social Sciences Journal
Legal and Policy Analysis in Indonesia
article

Quality of Driver's Licence Services at the Minahasa Police Administrative Organisation Unit

Steven Tarore, Juwita Yulianti Silaban, Meity Najoan, Delma Marlina Pasla, Siti Fathimah
article en

Abstract

This research aims to describe the quality of service for the issuance of new SIM C and the factors that influence the Minahasa Police Administration Unit. The research method used is qualitative descriptive method and data collection using observation, interview, and documentation techniques, the data obtained are analyzed with interactive analysis models. Informants as data sources are officers and applicant for a new SIM C at the Minahasa Police Administration Unit. The result of this study show that the quality of service for the issuance of a new SIM C at the Minahasa Police Administration Unit in terms of indicators of physical tangible, reliability, responsiviness, assurance, and empathy can be said to be not good. The factors that affect the quality of SIM services are system factors in the form of networks and the absence of a queuing system, personal factors in the form of officer behavior and performance, and human resources factors. Researchers provide recommendations to the Minahasa Police Administration Unit to improve the facilities and infrastructure needed for effective and efficient services, provide anti-scalper socialization to the community, conduct training and guidance for officers to be better and competent, add officers to optimize services, create a queuing system, conduct monitoring and evaluation.

Technium Social Sciences JournalVol. 64
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Legal and Policy Analysis in Indonesia
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.