Assessing The Public Trust in The Indonesian National Police: A System Dynamics Model Approach

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DOI:

https://doi.org/10.31098/bmss.v3i3.706

Keywords:

Repairing Trust, Repairing Trust Strategy, Indonesian National Police (INP), System Dynamics Modelling

Abstract

The importance of public trust in the police cannot be overstated, as it underpins social order, public safety, and the rule of law. Nevertheless, INP is facing its most difficult challenge yet after some senior police officers were involved in premeditated murder and drug trafficking. Therefore, it is necessary to provide an evaluation to improve public trust in the Indonesian National Police. This study aims to analyze the sustainability framework for enhancing public trust in the Indonesian National Police (INP). This research uses a descriptive statistical, qualitative approach with system dynamics modeling. The research was conducted between February to May 2023 with eight experts, including academicians and practitioners. The study findings project that INP public trust has a value of 3.567. Based on the scenario predicting 3.575 in 2027, indicating a medium trust status (level 3). However, there will be a slight decline in INP public trust from 2022 to 2025, followed by a gradual increase from 2025 to 2027, remaining within the medium trust range of 3.558. The repairing of public trust in INP is influenced by various dynamic and uncertain internal and external factors. Despite efforts to improve responsiveness, trustworthiness, and empathy, there is no significant positive trend observed in INP public trust, with only a marginal increase from 3.557 to 3.558 in medium trust level. Thus, the need to implement an accelerated strategy to improve trust becomes very important.

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Published

2023-09-05

How to Cite

Mayangsari, A. S. ., Rosadi, A. I. ., & Juansih, J. (2023). Assessing The Public Trust in The Indonesian National Police: A System Dynamics Model Approach. RSF Conference Series: Business, Management and Social Sciences, 3(3), 418–427. https://doi.org/10.31098/bmss.v3i3.706

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Articles