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Collaborative Policing Model: Strategy for Maintaining Community Security and Order in Disaster Situations

Authors: Wiendy Hapsari; Adrianus Meliala; Iqrak Sulhin;

Collaborative Policing Model: Strategy for Maintaining Community Security and Order in Disaster Situations

Abstract

The emergence of new symptoms in disaster situations prioritizes a collaboration-based approach to maintaining community order. All systems face the difficulty of human vulnerability when confronted with catastrophic occurrences such as disasters (Alexander 2005; Cutter 2005). In this situation, the police are vulnerable to becoming victims, creating limitations in the services provided to the community. These limitations need to be anticipated through collaboration with various parties since the disaster, and normal situations differ. Therefore, an adaptive collaboration model is required to generate maximum output for the phenomena that emerged after the disaster. This research will discuss a police collaboration model for the maintenance of Community Security and Order in the Disaster Collaborative Policing Model. Meanwhile, the focus is on the collaboration carried out by the police and non-state institutions. A qualitative method was used in the form of in-depth interviews with the police, collaboration partners from non-state institutions, and experts and academics engaged in disaster management. The results formulate essential elements by considering internal and external factors from the police organization. These include community conditions and threats in the form of rumors that affect community support for the police collaboration program.

Related Organizations
Keywords

Community Security and Order, Disaster, Police Strategy, Collaboration

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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