Analisis Peramalan Produksi dan Harga Cabai Merah (Capsicum annum L.) di Provinsi Sulawesi Tenggara
DOI:
https://doi.org/10.25181/jofsa.v7i2.2959Keywords:
Forecasting, Price, Production, Red Chili, TrendAbstract
Red chili is a horticultural commodity that has high economic value and attractive market prospects for farmers but the production and price of chili peppers continue to fluctuate. The purpose of this research is to: Analyze Forecasting the production and price of red chili (Capsicum Annum L.) in Southeast Sulawesi in 2022-2026 using the Double Exponential Smoothing method. The method of determining the research area used is purposively where the production and price of red chili in Southeast Sulawesi Province fluctuates and the data used is secondary data obtained from the Central Bureau of Statistics of Southeast Sulawesi Province from 2012 to 2021. The data analysis technique used in this research is Double Exponential Smoothing. The highest predicted red chili production forecasting results are in 2022 amounting to 16,683 Quintals and the lowest is in 2026 amounting to 16,002 Quintals. The results of the analysis of forecasting the production and price of red chili in 2022-2026, namely the production of red chili in Southeast Sulawesi Province has decreased production every year while the price of red chili has increased in price every year.Downloads
References
Adiatmaja PB, Setiawan BD, Wihandika RC. (2019). Peramalan Harga Cabai Merah Besar Wilayah Jawa Timur Menggunakan Metode Extreme Learning Machine. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. 3:5444-5449.
Badan Pusat Stastistik Sulawesi Tenggara. (2018). Rata-Rata Harga Produsen Cabe Merah Besar di Sulawesi Tenggara Tahun 2014-2016 (Rp/100 Kg).
Boediono. 1985. Demand Of Money in Indonesia. Jakarta : Salemba Empat: Bulletin of Indonesian Economic Studies.
Hadiansyah FN. (2017). Prediksi Harga Cabai dengan Menggunakan pemodelan Time Series ARIMA. Indonesia Journal on Computing. 2(1):71-78.
Hariri, F. R., & Mashuri, C. (2022). Sistem Informasi Peramalan Penjualan dengan Menerapkan Metode Double Exponential Smoothing Berbasis Web. Generation Journal, 6(1), 68-77.
Hortikultura PPdp. 2014. SOP Budidaya Cabai Merah. Jakarta: Badan Penelitian dan Pengembangan Pertanian Kementrian Pertanian.
Jasmin Y. (2019). Analisis Forecasting Produksi dan Harga Cabai Merah (Capsicum annuum L.) di Sumatera Utara Tahun 2028 Universitas Sumatera Utara.
Mardliyah A, Priyadi PJJoFS, Agribusiness. (2021). Analisis Risiko Produksi Cabai Merah Di Desa Margototo Kecamatan Metro Kibang Kabupaten Lampung Timur. 5(2).93-98.
Musrhalis Pt. (2007). Peramalan dan Faktorfaktor Penentu Fluktuasi Harga Cabai Merah di Enam Kota Besar Di Jawa–Bali. 11.
Naura A, Riana FD. (2018). Dampak Perubahan Iklim Terhadap Produksi dan Pendapatan Usahatani Cabai Merah (Kasus Di Dusun Sumberbendo, Desa Kucur, Kabupaten Malang). Jurnal Ekonomi Pertanian dan Agribisnis (JEPA) 2(2):147-158.
Nisak K. (2020). Analisis Peramalan Produksi Pakaian Pada Usaha Fadli Tailor di Desa Buddagan Pamekasan Institut Agama Islam Negeri Madura.
Nurvitasari ME , Suwandari A, Suciati LP. (2018). Dinamika Perkembangan Harga Komoditas Cabai Merah (Capsicum Annuum L) Di Kabupaten Jember. JSEP 11(1):70-145
Pradana, R. S. (2021). Penerapan Analisis Jalur Dalam Mengidentifikasi Penyebab Fluktuasi Harga Cabai Merah Di Kabupaten Aceh Jaya. Jurnal Agrica, 14(1), 20-32.
Raharja A, Angraeni W, Vinarti RA. (2010). Penerapan metode exponential smoothing untuk peramalan penggunaan waktu telepon di pt. telkomsel divre3 surabaya. Jurnal Sistem Informasi.1-9
Raini, H, M. Dan Karyani, T. (2020). Analisis Risiko Usahatani Cabai Merah Besar (Capsicum annuum L.) di Desa Sukalaksana Kecamatan Banyuresmi Kabupaten Garut. Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis. Januari 2020. 6(1): 65-76.
Siahaan, Daniel S., Kellin Tarigan, and Thomson Sebayang. (2016). Efisiensi Penggunaan Faktor Produksi Usahatani Cabai Merah (Capsicum Annum L.)(Studi Kasus: Desa Sukanalu, Kecamatan Barusjahe, Kabupaten Karo). Journal of Agriculture and Agribusiness Socioeconomics 4.8: 94200.
Soekartawi. 1991. Agribisnis : Teori dan Aplikasinya. Jakarta: Rajawali.
Sukiyono K, Janah MJIJoAR. (2019). Forecasting Model Selection of Curly Red Chili Price at Retail Level. 2(1):1-12.
Syahputra AJJIMP. 2021. Analisis Perolehan Usaha Tani Cabai Merah (Capsicum Annum L) Studi Kasus: Kelompok Tani “Juli Tani” Desa Sidodadi, Kecamatan Beringin, Kabupaten Deli Serdang. 1(2).
Zamili N, Harahap G, Siregar RS. (2020). Faktor-Faktor Yang Mempengaruhi Permintaan dan Penawaran Cabe Merah. Jurnal Ilmiah Pertanian 2(1):77-86.
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