Agatha Debby Reiza Macella, Rahmi Indah Sari, Ilham Mirza Saputra, Ikhwan Rahmatika Latif

Blue Economy Village: Model Kemitraan Berbasis ACTORS Dalam Pemberdayaan Ekonomi Desa Maritim Di Kabupaten Nagan Raya

Introduction

Blue economy village: model kemitraan berbasis actors dalam pemberdayaan ekonomi desa maritim di kabupaten nagan raya. Analisis model kemitraan ACTORS Blue Economy Village untuk pemberdayaan ekonomi desa maritim Nagan Raya. Temuan menyoroti perlunya peningkatan kapasitas SDM & institusi lokal berkelanjutan.

Abstract

This Study aims to analyze the effectiveness of the ACTORS theory based partnership model in economic empowerment in maritime villages in Nagan Raya Regency.The research method used is a qualitative method with a descriptive approach through in depth interviews, observation, and documentation, and data validation using source triangulation and member check. The results showed that the confidence & competence and authority indicators obtained the lowest scores (2 out of 5 each), indicating low confidence, technical skills, and limited village authority in program implementation. In contrast, the responsibility indicator received the highest score (4 out of 5), which is due to the implementation of a digital financial governance system (siskeudes) that can improve accountability. These findings indicate the need to increase human resource capacity and strengthen local institutions to optimize the blue economy concept in a sustainable manner in coastal areas.

Review

This study investigates the efficacy of an ACTORS theory-based partnership model in fostering economic empowerment within maritime villages in Nagan Raya Regency, Indonesia. Employing a qualitative methodology with a descriptive approach, the researchers gathered data through in-depth interviews, observation, and documentation, ensuring validity via source triangulation and member checks. Key findings indicate significant challenges in 'confidence & competence' and 'authority' (scoring 2 out of 5), pointing to low technical skills and limited local autonomy. Conversely, 'responsibility' scored high (4 out of 5), attributed to effective digital financial governance. The abstract concludes by highlighting the imperative for human resource development and institutional strengthening to achieve sustainable blue economy objectives in coastal regions. The paper tackles a highly relevant and timely topic, combining the 'Blue Economy' concept with a governance framework like ACTORS in a specific regional context. The qualitative approach is well-suited for an in-depth understanding of partnership dynamics, and the commitment to data validity through triangulation and member checks is commendable. The identification of specific areas of strength (digital financial governance leading to accountability) and weakness (lack of confidence, competence, and authority) provides actionable insights for local development initiatives. However, the abstract could benefit from a clearer exposition of how the chosen indicators (confidence & competence, authority, responsibility) are specifically derived from or represent the broader ACTORS framework (Actors, Context, Transactions, Outcomes, Resources, Structure). Furthermore, while scores (e.g., '2 out of 5') are presented, the methodology for quantifying these scores from qualitative data needs elucidation; clarifying this would enhance the rigor of the findings. Despite these minor points, the study offers valuable contributions to the literature on rural development, maritime economics, and partnership models. Its findings provide crucial practical implications for policymakers and development practitioners aiming to strengthen local capacities, improve governance, and foster sustainable economic growth in coastal communities. Addressing the identified gaps in human resource capacity and local authority is clearly paramount for the successful implementation of blue economy initiatives. Future research could expand on these findings by conducting comparative studies across different maritime regions or by employing a longitudinal design to track the impact of targeted interventions on these ACTORS indicators. Further exploration into how specific blue economy sectors (e.g., sustainable fisheries, marine tourism, aquaculture) are affected by the identified partnership strengths and weaknesses would also be a valuable avenue for extending this important work.

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