Bambang Nariyono, Arief Daryanto, M Firdaus, Setijadi Johar


Indonesia dalam industri tuna sangat diperhitungkan karena posisinya sebagai pemasok lebih dari 15 % produksi tuna dunia, tetapi di sisi lain daya saing perikanan tuna masih rendah. Tujuan dari penelitian ini adalah menganalisis kontribusi rantai nilai perikanan tuna terhadap daya saing industri perikanan tuna di Kabupaten Cilacap. Penelitian dilaksanakan pasa bulan April sampai dengan September 2017. Hasil analisis Second Order Structural Equation Modeling didapatkan bahwa rantai nilai berpengaruh terhadap daya saing industri tuna dengan loading factor 0.540 dan nilai p yang signifikan. Pengujian terhadap model secara simultan terbukti bahwa model telah fit dengan telah dipenuhinya semua ukuran fitting model yang diindikasikan dengan nilai Chi-Square kecil yaitu 301.252, RMSEA = 0.072, GFI = 0.907, CFI= 0.923, dan CMIN/DF = 1.814. Temuan penelitian ini membuktikan bahwa rantai nilai mempunyai pengaruh yang signifikan terhadap daya saing industri tuna. Dengan demikian strategi yang tepat untuk memperkuat daya saing industri tuna dapat dilakukan dengan cara meningkatkan rantai nilai perikanan tuna terutama dari aspek operasional, outbond logistic, dan services.

Indonesia is the world’s larget tuna produser with contributing 15 percent to the world tuna market. However, the competitiveness of tuna fishery is still low. The aim of this research is to analyze the contribution of value chain of tuna fishery toward competitiveness of tuna industry in Cilacap. The study was conducted from April to September 2017. The results of analysis using using second order Structural Equation Modeling method (SEM) found that the value chain influenced the competitiveness of tuna industry with loading factor of 0.540 and significant p value. Tests on the model simultaneously proved that the model has been fit with the fulfillment of all fittings of the model. It gives indication with variables value, such as : Value of Chi-square is low with value 301.252; 0.072 for Root Mean Square Error of Approximation (RMSEA); 0.907 for Goodness Fit Index (GFI); 0.907 for (CFI); and 1.814 for minimum discrepancy (CMIN/DF). This research gives evidence that value chain has a significant impact toward competitiveness of tuna fishery industries.The best strategies to increase competitiveness of tuna fishery industries is increasing a value chain of of tuna fishery industries, Mainly from operational aspect, outbond logistic and services to raise tuna commodity productvity in global market.


Industri tuna; Rantai nilai; Structural Equation Modeling (SEM)

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DOI: http://dx.doi.org/10.15578/jkpi.10.1.2018.11-23

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