Tuna and tuna-like fisheries play a vital role in Indonesian livelihood, especially in the archipelagic waters. However, despite the importance, the concern in general data collection activities for tuna, i.e., limited, with incomplete scientific knowledge and insufficient data has hampered the assessment. The purpose of this study was to analyse on how fisheries-dependent data system could transform the data quality. For this purpose, the analysis was conducted based on e-logbook data from January to December 2020. The result showed that some robust fisheries indicators (catch, effort, fleet and species composition) could be produced from this particular dataset. In addition, e-logbook has the best attribute for improving the data quality, especially for small-scale tuna fisheries in FMA-714. Low cost and vast spatial and temporal coverage are the main characteristics on why the program should be expanded and monitored carefully in the future.

Fishing operational data is the key to making fisheries management policies. Without this data, policymakers could only speculate on current field conditions; hence their decisions are not solutions to issues and problems in fisheries management and are even difficult to implement. Currently, the government encourages data collection on fishing operations through three schemes, namely data collection on the results of fish unloading at fishing ports, independent data reported by fishermen (fishing logbook), and data on monitoring results on fishing vessels by observers on board. Integrating such data is one solution to obtain sufficient operational data for fishing in quantity and quality. This study uses data on tuna catches from the three data collection schemes to tuna longline in the Southern Waters of Java, FMA 573. This study aims to analyze the differences between the established fisheries data collection standards with the existing conditions and the parties’ involvement in data collection activities. The analysis results show differences in data collection activities in existing conditions with the existing standards, affecting the completeness and quality of the resulting data. The integration of the three data is complementary and significantly impacts the quality of fishery data produced.

Tuna and tuna-like fisheries play a vital role in Indonesian livelihood, especially in the archipelagic waters. However, despite the importance, the concern in general data collection activities for tuna, i.e., limited, with incomplete scientific knowledge and insufficient data has hampered the assessment. The purpose of this study was to analyse on how fisheries-dependent data system could transform the data quality. E-logbook has the best attribute for reaching the goals, especially for small-scale tuna fisheries. Characterised by low cost and vast spatial and temporal coverage, it is convinced on why the program should be expanded and monitored carefully. Analysis on fisheries indicators showed a promising result, especially for filling the gap which could not be covered by research.