Author(s)

Putu Dana Karningsih, Dewanti Anggrahini, Nani Kurniati, Mokh Suef, Olivia Pradany Panjaitan, Nur Syahroni

Corresponding Author

Putu Dana Karningsih

ABSTRACT

With approximately 81% of Indonesia area is ocean, Indonesian government sees that the future of Indonesian civilization depends heavily on proper maritime management. Thus, for 2015-2019 period, Indonesian Ministry of Marine Affairs and Fisheries (MMAF) plans to manage Indonesian maritime and fisheries in a way so that sovereignty, sustainability and prosperity for its people can be achieved. Fisheries sector contribution to Indonesia GDP shows a growing trend. MMAF sets target that GDP of fisheries sector should rise to 12% in 2019. Tuna is selected by MMAF as one of top marine commodity besides shrimps/prawns, seaweeds, and crabs since Indonesia is one of the largest Tuna producer. However, the sustainability of tuna catches is in alarming conditions especially Yellow fin and Southern Bluefin. Therefore, MMAF should have a proper strategy that could encourage Indonesian tuna competitiveness so it would enhance Indonesian fisheries GDP as well as maintaining its sustainability. In order to develop an effective strategy, potential risks of Indonesian Tuna supply chain should be identified including its interrelationships. This research proposes a framework for managing supply chain risks of Tuna. The framework of Supply Chain Risk Identification, Mapping and Assessment for Tuna (RIMA-Tuna) is started from Tuna supply chain risks identification, risks interrelationships mapping, and finally recommendation of risk treatments. RIMA-Tuna is developed by integrating and modifying Supply Chain Risk Identification System framework with House of Risk. RIMA-Tuna does not only identify, assess, and evaluate most of potential risks in Tuna supply chain, but also interrelationships between risks can be mapped so it would lead to a more effective risk treatment strategy and a better Indonesian Tuna management.

KEYWORDS

Supply Chain Risk Management, Risk Interrelationships, House of Risk, Supply Chain Risk Identification System