Development Analysis of Chili Imports in East Java
Abstract
East Java Province is one of the leading national chili producers. But, East Java still imports chilies to meet fluctuating demand and prices. The variables of imports, production, consumption, pricing, and currency rates were employed in this study and ranged from 2019 to 2021. This study aims to forecast the volume of chili imports in East Java for the next year (12 months) and analyze the factors that influence chili imports in East Java to determine the most dominant influencing factors. The method used in this study is (Autoregressive Integrated Moving Average) ARIMA model and multiple linear regression analysis. The results of the study show: The development of chili imports in East Java in the prediction results with the ARIMA model (1,1,1) shows that chili imports have a downward trend, and simultaneously chili imports are influenced by production, consumption, price, and exchange rate, with consumption as the most dominant factor. It is hoped that the government will regulate the volume of imports by imposing import quotas and controlling chili prices
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Abinowi, E., & I. D. Sumitra. (2018). "Forecasting Chilli Requirement with ARIMA Method." IOP Conference Series: Materials Science and Engineering 407(1). http://dx.doi.org/10.1088/1757-899X/407/1/012156.
Andini Adhalia, Andi, Rachmad R, & Rahma Nurjanah. (2020). “Determinan Impor Indonesia.” e-Journal Perdagangan Industri dan Moneter 8(1): 31–42. https://doi.org/10.22437/pim.v8i1.8035.
Arsanti, Idha Widi. (2015). “Kecenderungan Impor Komoditas Hortikultura Dan Kebijakan Peningkatan Daya Saing Di Indonesia.” Prosiding Seminar Nasional Swasembada Pangan 2(1): 365–75. https://doi.org/10.25181/prosemnas.v0i0.554.
Astuti, F. S., Sastryawanto, H., &Koesriwulandari. (2021). “Elastisitas Permintaan Cabai Merah (Capsicum Annuum L.) Di Kota Surabaya.” Journal ilmiah sosio agribis 21(1): 76–93. http://dx.doi.org/10.30742/jisa.v21i1.1343.
Badan Pusat Statistik. (2021). Pusat Pengkajian Perdagangan Dalam Negeri.
Bangun, R. H. (2019). “Penerapan Autoregressive Integrated Moving Average (ARIMA) Pada Peramalan Produksi Kedelai Di Sumatera Utara.” Jurnal Agrica 9(2): 90–100. http://dx.doi.org/10.31289/agrica.v9i2.484.
Basuki, A. T. (2014). 1 Danisa Media Penggunaan SPSS Dalam Statistik. Yogyakarta: Danisa Media.
Bhattarai, Madhusudan, and Joko Mariyono. 2016. "The Economic Aspects of Chilli Production in Central Java." Economic Journal of Emerging Markets 8(2): 85–97. https://doi.org/10.20885/ejem.vol8.iss2.art1.
Silitonga, B.R., Ribka, Ishak, Z & Mukhlis. (2019). “Pengaruh Ekspor, Impor, Dan Inflasi Terhadap Nilai Tukar Rupiah Di Indonesia.” Jurnal Ekonomi Pembangunan 15(1): 53–59. https://doi.org/10.29259/jep.v15i1.8821.
Darsyah, M. Y. (2015). “Peramalan Pola Data Musiman Dengan Model Winter’s & ARIMA.” Majalah Ekonomi dan Bisnis 11(1): 72–75. https://doi.org/10.2671/vameb.v11i1.1948.
Dewi, M. K, & Sutrisna, I. K. (2016). “Pengaruh Tingkat Produksi, Harga, Dan Konsumsi Terhadap Impor Bawang Merah Di Indonesia.” Jurnal Ekonomi Pembangunan 5(1): 139–49.
Erianti, O. (2020). “Pengaruh Impor Cabai Dari India Terhadap Petani Cabai Indonesia Tahun 2015.” JOM FISIP 7(1): 1–17. https://jom.unri.ac.id/index.php/JOMFSIP/article/view/27643.
Firdaus, M. (2011). Aplikasi Ekonometrika Untuk Data Panen Dan Timeseries. Bogor: IPB Press.
Fitriani, E. (2019). “Analisis Pengaruh Perdagangan Internasional Terhadap Pertumbuhan Ekonomi Indonesia.” JURISMA : Jurnal Riset Bisnis & Manajemen 9(1): 17–26. https://doi.org/10.34010/jurisma.v9i1.1414.
Gunawan, I. (2017). Pengantar Statistika Inferensial. Jakarta: PT. Raja Grafindo Persada.
Hendikawati, P. (2015). Peramalan Data Runtun Waktu : Metode Dan Aplikasinya Dengan Minitab Dan Eviews. Semarang: FMIPA Universitas Negeri Semarang.
Lubis, R. M. F., Situmorang, Z & Rosnelly, R. (2021. “Autoregressive Integrated Moving Average (ARIMA-Box Jenkins) Pada Peramalan Komoditas Cabai Merah Di Indonesia.” Jurnal Media Informatika Budidarma 5(2): 485–94. http://doi.org/10.30865/mib.v5i2.2927.
Mahardika, Wira, K. A., & Yuliarmi, N. Y. (2018). “Pengaruh Jumlah Penduduk, Poduksi, PDB Dan Kurs Dollar Amerika SSerikat Terhadap Impor Cabai Indonesia.” E-Jurnal EP Unud 7(3): 502–30. http://ojs.unud.ac.id/index.php/eep/article/view/37842.
Mahyus, E. (2015). Riskesdas 2018 Ekonometrika Dasar Untuk Penelitian Ekonomi Sosial. 1st ed. Jakarta: Mitra Wacana Media.
Nanda, Khrisna, P. G & Rustariyuni, S.D. (2018). “Pengaruh Jumlah Penduduk, Produksi Dan Kurs Dollar Amerika Serikat Terhadap Impor Cabai Indonesia.” E-Jurnal Ekonomi Pembangunan Universitas Udayana 7(3): 476–501.
Nisa, A. R., Tarno, & Rusgiyono, A. (2020). “Peramalan Harga Cabai Merah Menggunakan Model Variasi Kalender Regarima Dengan Moving Holiday Effect.” Jurnal Statistika Undip 9(2): 170–81. https://doi.org/10.14710/j.gauss.v9i2.27819.
Nugrahapsari, Amalia, R., & Arsanti, I. W. (2019). "Analizing Curly Chili Price Volatility in Indonesia Using the ARCH GARCH Approach." Jurnal agro Ekonomi 36(1): 25–37. http://dx.doi.org/10.21082/jae.v36n1.2018.25-37.
Nurcahyani., Rahmawati, P, & Iqbal, T. F. (2014). “Peramalan Permintaan Komoditi Paprika (Capsicum Annum) Di PT Bimandiri Agro Sedaya, Lembang.” Jurnal Teknologi Industri Pertanian 8(2): 52–63. http://dx.doi.org/10.21107/agrointek.v8i2.2005.
Paul., Chandra, J., Hoque, S., & Rahman, M.M. (2013). "Selection of Best ARIMA Model for Forecasting Average Daily Share Price Index of Pharmaceutical Companies in Bangladesh: A Case Study on Square Pharmaceutical Ltd." Global Journal of Management and Business Research (USA) 13(3): 15–26.
Permadi, G. S. (2015). “Analisis Permintaan Impor Kedelai Di Indonesia.” Jurnal Eko-Regional 10(1): 23–31. https://doi.org/10.20884/1.erjpe.2015.10.1.754.
Pusdatin. (2020). Pusat Data dan Sistem Informasi Pertanian Outlook Cabai 2020. Jakarta: Pusat Data dan Sistem Informasi Pertanian.
Puspatika, K., & Kusumawati, Y. (2018). “Peramalan Harga Cabai Dengan Metode Arima Arch- Garch Dan Single Moving Average Di Kota Semarang.” Journal of Information System 03(02): 192–201. https://doi.org/10.33633/joins.v3i2.2196.
Putri, Rahayu, O.T., $ Sugiarti, T. (2021). “Perkembangan Dan Faktor Yang Mempengaruhi Permintaan Volume Impor Garam Industri Di Indonesia.” Jurnal Ekonomi Pertanian dan Agribisnis 5(3): 748–61. https://doi.org/10.21776/ub.jepa.2021.005.03.13.
Sari, D, R. (2016). “Analisis Faktor-Faktor Yang Mempengaruhi Impor Cabai Di Indonesia Tahun 2000-2014.” Universitas Islam Negeri Alauddin Makassar. Skripsi.
Setyawan, B., Riwajanti, N. I, & Ismanu, S. (2020). “Analisis Peramalan Menggunakan Arima Pada Indeks Harga Perdagangan Besar Indonesia Kelompok Komoditi Pertanian Tahun 2000-2019.” Media Mahardhika 18(2): 198–205. http://dx.doi.org/10.29062/mahardika.v18i2.148.
Shofiyah, I., & Sugiarti, T. (2020). “Tren Dan Faktor-Faktor Yang Mempengaruhi Volume Impor Bawang Putih Di Indonesia.” Agriscience 1(1): 151–65. https://doi.org/10.21107/agriscience.v1i1.8001.
Sulaminingsih. (2020). “Analisis Faktor-Faktor Yang Mempengaruhi Impor Beras Di Kabupaten Berau.” Jurnal Agroekoteknologi Tropika Lembab 2(2): 61–70. http://dx.doi.org/10.35941/jatl.2.2.2020.2738.61-70.
Yudarudin, R. (2019). Forecasting Untuk Kegiatan Ekonomi Dan Bisnis. Samarinda: RV Pustaka Horizon.
Zahara, A. D., Wisnujati, N.S., & Siswati, E. (2021). “Analisis Produksi Dan Produktivitas Cabai Rawit (Capsicum Frutescens L.) Di Indonesia.” Jurnal Ilmiah Sosio Agribis 21(1): 18–29. http://dx.doi.org/10.30742/jisa.v21i1.1345.
DOI: http://dx.doi.org/10.37149/bpsosek.v24i1.25197
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