Unlocking insights from Ministry of Marine Affairs and Fisheries annual reports using LDA: a deep dive into SDG 14

Annual reports serve as vital instruments for government ministries and 
agencies, enabling transparency and accountability in managing state budgets 
(APBN) and activities, thereby fulfilling a crucial role in public 
accountability, particularly in the context of sustainable development goal 
(SDG) 14. However, due to their extensive nature, it becomes imperative to 
conduct topic modeling analysis to discern trends and topics within these 
reports. In this study, latent Dirichlet allocation (LDA), a prominent topic 
modeling technique, is employed to analyze the annual reports of the Ministry 
of Marine Affairs and Fisheries (KKP) Indonesia from 2015 to 2022. Utilizing
the coherence score as an evaluation metric, we assess the quality of topic 
models across each report year. Our findings underscore the consistent 
emphasis on fisheries and marine-related initiatives, emphasizing their 
relevance to SDG 14 and Indonesia’s maritime landscape. Ultimately, this 
study offers valuable insights to inform strategic planning and decisionmaking processes within the KKP, contributing to the advancement of SDG 
14 and promoting sustainable development in Indonesia’s fisheries and 
marine sectors.