Ilomata International Journal of Management
Vol. 7 No. 2 (2026): April 2026

Local Wisdom Based Coastal Community Empowerment in the Seribu Islands Administrative Regency

Airlangga, Dyan (Unknown)
Averus, Ahmad (Unknown)
Nurdin, Nurliah (Unknown)
Simangunsong, Fernandes (Unknown)



Article Info

Publish Date
27 Apr 2026

Abstract

This study addresses the lack of an operational framework that systematically integrates local wisdom, empirical evidence, and governance mechanisms in coastal community empowerment. While previous studies have examined these elements separately, limited attention has been paid to their interaction within an integrated and context-sensitive model. This study aims to analyze the factors contributing to the ineffectiveness of empowerment programs and to develop a contextual empowerment model in Seribu Regency, DKI Jakarta. A qualitative phenomenological approach was used, involving 26 purposively selected informants, supported by observation and document analysis. The findings indicate that ineffective empowerment is driven by top-down policy design, weak institutional coordination, limited infrastructure, and dependency-oriented program implementation. At the same time, local wisdom such as cooperation, deliberation, and ecological knowledge emerge as important supporting factors when integrated into the empowerment process. This study proposes an integrative and adaptive empowerment model based on three pillars: local wisdom, evidence-based policy, and participatory governance, operationalized through a cyclical learning mechanism. This study provides a contextual and operational framework that strengthens the linkages between cultural values, empirical data, and policy practices in coastal development.

Copyrights © 2026






Journal Info

Abbrev

ijjm

Publisher

Subject

Social Sciences

Description

The analysis of this study aims to determine whether recruitment positive and significant effect on the performance of employees in the Manufacturing Company. To know able to moderate recruitment monitoring the performance of employees in the Manufacturing Company. Data analysis technique used is ...