Impact of Government Policy on Tuna Commodities in Malang District, East Java


  • Yeni Sari Wulandari Brawijaya University
  • Suhartini Suhartini brawijaya university
  • Hery Toiba brawijaya university



policy, impact, PAM, tuna, fish


Tuna commodity turns out to be one of fishery commodities contributing to an export increase by value above the average of 18.57%. This is an opportunity for Indonesia to improve the country's economy by utilizing existing fishery resources. Thus, government policies are needed in order to support the export performance of fishery products. This research was conducted to determine the impact of government policies toward tuna fish commodities in Malang. The method used was the Policy Analysis Matrix (PAM) that aimed at knowing the impact of government policies on tuna commodities. In this study, the respondents were 30 tuna fishermen at TPI Pondokdadap. The results of analysis showed that there were subsidies, taxes, and trade restrictions in input factor. Nonetheless, in output factor, fishermen did not receive subsidies. The existence of a policy on input is very helpful for fishermen so as to reduce production costs, while in the output policy the community receives more benefits at low output prices. However, it can be seen from the DRC and PCR values that they are less than one. This means that the tuna fish commodity in Malang still has comparative and competitive advantages in competitiveness.


Elbadawi, et al (2012) ‘Assessing the competitiveness of sheep production in selected states in Sudan.’, Journal of Agricultural Science, 5(1), pp. 75–83.

Ghofar, A. (2008) Selected Indonesian Fisheries Subsidies: Quantitative and Qualitative Assessment of Policy Coherence and Effectiveness, The Nature Conservation – Coral Triangle. Bali.

Gray, C. (1992) Pengantar Evaluasi Proyek. Jakarta: PT Gramedia Pustaka.

Hermawan, M. (2006) Keberlanjutan perikanan tangkap skala K=kecil : Studi perikanan pantai di Serang dan Tegal. Institut Pertanian Bogor.

Kementerian Kelautan dan Perikanan (2018) Data Statistik Komoditas Ekspor Utama Perikanan.

Luhur, E. (2012) ‘Analisa Daya Saing Rumput Laut Di Indonesia (Studi Kasus: Kabupaten Konawe Selatan, Sulawesi Tenggara)’, J. Sosek KP, 7(1).

Mira (2014) ‘Dampak Keniakan Harga BBM Terhadap Kinerja Sektor Kelutan dan Perikanan’, J. Sosek KP, 9(2).

Monke, E. a and Pearson, S. R. (1989) The Policy Analysis Matrix for Agricultural Development, Outreach Program. doi: 10.1080/03768359008439507.

Muchlisin, Z. et al. (2012) ‘Analisis subsidi perikanan non BBM di Kabupaten Aceh Besar, Provinsi Aceh. Fisheries subsidy analysis on non-fuel in Aceh Besar District, Aceh Province’, Depik, 3(1), pp. 175–182.

Ningsih, V. (2016) ‘Competitiveness Analysis of Tilapia Grower Business of Small Farmers in Musi Rawas Regency’, AGRISEP, 15(2), pp. 279–291.

Pearson, E. a. (2005) Aplikasi Policy Analysis Matrix Pada Pertanian Indonesia. Jakarta: Yayasan Obor Indonesia.

Poernomo, A. and Heruwati, E. S. (2011) ‘Industrialisasi Perikanan : Suatu Tantangan Untuk Perubahan’, Squalen.

Putra, A. (2016) ‘Agreement on Agriculture dalam World trade Organization’, Jurnal Hukum dan Pembangunan, (1), pp. 90–105.

Rilus, A. K. (2012) ‘Konflik-Konflik Sumberdaya Alam di Kalangan Nelayan di Indonesia’, SODALITY: Jurnal Sosiologi Pedesaan. doi: 10.22500/sodality.v1i1.5936.

Sukmaya, S. (2013) Analisis Daya Saing Dan Dampak Kebijakan Pemerintah Terhadap Komoditas Kedelai Vs Pengusahaan Kedelai Di Kabupaten Lamongan, Jawa Timur. Institut Pertanian Bogor.




How to Cite

Wulandari, Y. S., Suhartini, S., & Toiba, H. (2022). Impact of Government Policy on Tuna Commodities in Malang District, East Java. HABITAT, 31(3), pp.169–176.




Most read articles by the same author(s)

1 2 3 > >>