Forecasting Fisheries Production in Indonesia
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Akkurt, M., Demirel, O. F., & Zaim, S. (2010). Forecasting Turkey’s Natural Gas Consumption by Using Time Series Methods. European Journal of Economic and Political Studies, 3(2), 1–21. Retrieved from https://arastirmax.com/en/system/files/dergiler/25821/makaleler/3/2/arastirmax-forecasting-turkeys-natural-gas-consumption-using-time-series-methods.pdf
Azhar, M., & Riksakomara, E. (2017). Peramalan Jumlah Produksi Ikan dengan Menggunakan Backpropagation Neural Network (Studi Kasus: UPTD Pelabuhan Perikanan Banjarmasin). Jurnal Teknik ITS, 6(1), 142–148. http://dx.doi.org/10.12962/j23373539.v6i1.22129
Box, G., & Jenkins, G. (1976). Time Series Analysis: Forecasting and Control. California: Holden-Day, Inc.
BPS-Statistics Indonesia. (2018). Quarterly Indonesian Gross Domestic Product, 2014-2018. (Sub-directorate of National Product Accounts Consolidation, Ed.). Jakarta: BPS-Statistics Indonesia.
Cocon. (2017, July). The Strategic Value of Aquaculture Fisheries in Supporting Food Security. Kompas.com. Retrieved from https://ekonomi.kompas.com/read/2017/07/24/161733226/nilai-strategis-perikanan-budidaya-dalam-menopang-ketahanan-pangan
Fitri, F., Gamayanti, N. F., & Darmawan, G. (2017). Metode SSA pada Data Produksi Perikanan Tangkap di Provinsi Jawa Barat. Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP), 9(2), 95–110. https://doi.org/10.20884/1.jmp.2017.9.2.2870
Garcia, S. (1996). Indicators for Sustainable Development of Fisheries. In the 2nd World Fisheries Congress. Rome: The United Nations. Retrieved from http://www.fao.org/3/w4745e/w4745e0f.htm
Government of the Republic of Indonesia. Fishery (2004). Indonesia. Retrieved from https://www.ilo.org/dyn/natlex/docs/ELECTRONIC/89345/102625/F765882697/IDN89345 Eng.pdf
Ilah, M. (2016). Peramalan Jumlah Ekspor Indonesia pada Kelompok Komoditi Ekspor Udang Segar/Beku Dan Tongkol/Tuna dengan Metode Arima Box-Jenkins. Thesis. Institut Teknologi Sepuluh Nopember. Retrieved from http://repository.its.ac.id/584/2/1313030017-Non_Degree.pdf
Karunarathna, B., & Karunarathna, K. A. N. K. (2017). Forecasting Fish Production in Sri Lanka by Using ARIMA Model. Scholafrs Journal of Agriculture and Veterinary Sciences, 4(9), 344–349. https://doi.org/10.21276/sjavs.2017.4.9.4
Ministry of Marine Affairs and Fisheries. (2016). Ministerial Decree Roadmap for Bureaucratic Reform of the Ministry of Maritime Affairs and Fisheries 2015-2019, Pub. L. No. 4/KEPMEN-KP/2016. Indonesia: Ministry of Marine Affairs and Fisheries. Retrieved from http://jdih.kkp.go.id/peraturan/4-kepmen-kp-2016.pdf
Ministry of Marine Affairs and Fisheries. (2019a). Aquaculture Fisheries Statistics of Indonesia. (Directorate General of Aquacculture Fisheries, Ed.). Jakarta: Ministry of Marine Affairs and Fisheries.
Ministry of Marine Affairs and Fisheries. (2019b). Capture Fisheries Statistics of Indonesia. (Directorate General of Capture Fisheries, Ed.). Jakarta: Ministry of Marine Affairs and Fisheries.
Mulyana. (2004). Analysis of Time Series Data. Bandung: Padjadjaran University.
Organization for Economic Cooperation and Development (OECD). (2013). OECD Review of Fisheries: Policies and Summary Statistics 2013. Paris: OECD Publishing. http://dx.doi.org/10.1787/rev_fish-2013-en
Raman, R. K., Sathianandan, R. T. V, Sharma, A. P., & Mohanty, B. P. (2017). Modelling and Forecasting Marine Fish Production in Odisha Using Seasonal ARIMA Model. National Academy Science Letters, 40, 393–397. https://doi.org/10.1007/s40009-017-0581-2
Suman, A., Irianto, H. E., Satria, F., & Amri, K. (2016). Potensi dan Tingkat Pemanfaatan Sumber Daya Ikan di Wilayah Pengelolaan Perikanan Negara Republik Indonesia (WPP NRI) Tahun 2015 serta Opsi Pengelolaannya. Jurnal Kebijakan Perikanan Indonesia, 8(2), 97–110. https://doi.org/10.15578/jkpi.8.2.2016.97-100
Tambunan, T. (2004). Globalisasi dan Perdagangan Internasional (Globalization and International Trade). Bogor: Penerbit Ghalia Indonesia.
Tran, N., Rodriguez, U., Chan, C. Y., Philips, M. J., Mohan, V., Henriksson, P. J. G., Koeshendrajana, S., Suri, S., & Hall, S. (2017). Indonesian Aquaculture Futures : An Analysis of Fish Supply and Demand in Indonesia to 2030 and Role of Aquaculture using the AsiaFish Model. Marine Policy, 79, 25–32. https://doi.org/10.1016/j.marpol.2017.02.002
World Wildlife Fund (WWF) Indonesia. (2018). Species. Retrieved May 25, 2020, from https://www.wwf.or.id/program/spesies/
Xie, M., Hong, G. Y., & Wohlin, C. (1998). A Study of the Exponential Smoothing Technique in Software Reliability Growth Prediction. Quality and Reliability Engineering International, 13(6), 347–353. https://doi.org/10.1002/(SICI)1099-1638(199711/12)13:6%3C347::AID-QRE116%3E3.0.CO;2-O
DOI: https://doi.org/10.18196/jesp.21.2.5039
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