Forecasting Coconut Production in Indragiri Hilir with Autoregressive Integrated Moving Average Model
Abstract
Indragiri Hilir is one of the districts in Riau Province which is the largest coconut producer in Indonesia. Based on statistical data, total coconut production in Indragiri Hilir was recorded at around 313,396 tons in 2021, but production has decreased from year to year. It is necessary to know the amount of future coconut production, so that a solution can be found so that coconut production in Indragiri Hilir can increase again. The purpose of this research is to find out the estimation or forecasting of coconut production for the next 5 years. This is useful to know the extent of the decline in coconut production during this time, so that a solution can be found. In this study, forecasting the amount of coconut production was carried out using the Autoregressive Integrated Moving Average (ARIMA) method. The Autoregressive Integrated Moving Average (ARIMA) is a model that completely ignores independent variables in making forecasts. Data analysis in this study uses the EViews application as a tool for forecasting. Based on the forecasting results that the amount of coconut production for the next 5 years (2022-2026) is decreasing. If this is allowed to continue, over time Indragiri Hilir will no longer be the largest coconut producer in Riau. The solution given is replanting of damaged and old crop land that needs to be improved. In this case, the government's role is needed in increasing plant replanting programs, especially in smallholder plantations.
Keywords: forecasting, coconut, ARIMA, replanting.
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BPS, Indragiri Hilir dalam Angka. Tembilahan: Badan Pusat Statistik, 2022.
MediaPerkebunan.id, "Penyebab Industri Kelapa Kekurangan Bahan Baku," 19 Januari 2017.
W. Wei, Time Series Analysis Univariate and Multivariate. London: Pearson Education, 2006.
Suhartono and A. J. Endharta, "Peramalan Konsumsi Listrik Jangka Pendek dengan Arima Musiman Ganda dan Elman-Recurrent Neural Network," Jurnal Ilmiah Teknologi Informasi, vol. 7, no. 4, pp. 183-190, 2009.
F. Mahia, A. R. Dey, M. A. Masud, and M. S. Mahmud, "Forecasting Electricity Consumption using ARIMA Model," in 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 24-25 Dec. 2019 2019, pp. 1-6, doi: 10.1109/STI47673.2019.9068076.
N. Izudin, R. Sokkalingam, H. Daud, H. Mardesci, and A. Husin, "Forecasting Electricity Consumption in Malaysia by Hybrid ARIMA-ANN," 2021, pp. 749-760.
S. Barak and S. S. Sadegh, "Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm," International Journal of Electrical Power & Energy Systems, vol. 82, pp. 92-104, 2016/11/01/ 2016, doi: https://doi.org/10.1016/j.ijepes.2016.03.012.
C. Nichiforov, I. Stamatescu, I. Făgărăşan, and G. Stamatescu, "Energy consumption forecasting using ARIMA and neural network models," in 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE), 20-22 Oct. 2017 2017, pp. 1-4, doi: 10.1109/ISEEE.2017.8170657.
S. Ozturk and F. Ozturk, "Forecasting Energy Consumption of Turkey by Arima Model," Journal of Asia Scientific Research, vol. 8, no. 2, pp. 52-60, 2018.
B. S. Wirdyacahya and M. Prastuti, "Peramalan Permintaan Semen di PT. XYZ Menggunakan Time Series Regression dan Arima," Jurnal Sains dan Seni ITS, vol. 11, no. 1, pp. D96-D101, 2022.
A. Nofiyanto, R. A. Nugroho, and D. Kartini, "Peramalan Permintaan Paving Blok dengan Metode Arima," in Konferensi Nasional Sistem dan Informatika, Denpasar - Bali, 2015: STMIK STIKOM.
D. D. Pangestu, B. Sumartono, and W. T. Bhirawa, "Analisis Peramalan Permintaan Produk Kipas Angin dengan Metode Arima (Autoregressive Integrated Moving Average untuk Menentukan Persediaan Safety Stock dan Service Level pada PT. Catur Sukses Internasional," Jurnal Teknik Industri, vol. 8, no. 2, pp. 14-24, 2019.
G. L. Ramadhan, D. A. R, and H. Sussanto, "Peramalan Inflasi Indonesia dengan Seasonal Auto Regressive Integrated Moving Average," SISTEMASI: Jurnal Sistem Informasi, vol. 10, no. 3, pp. 627-636, 2021.
A. Budiar, "Peramalan Produksi TBS Kelapa Sawit dengan Model Arima dan Model Fungsi Transfer Input Ganda," Departemen Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Bogor, 2013.
W. Apriani and R. Hayati, "Metode Arima untuk Memodelkan Volume Produksi Kelapa Sawit pada PT. Socfindo di Kabupaten Aceh Tamiang," Jurnal ABSIS, vol. 3, no. 2, pp. 309-319, 2021.
T. Oktarina and Rasmila, "Peramalan Produksi Crude Palm Oil (CPO) Menggunakan Metode Arima pada PT. Sampoerna Agro Tbk," in Seminar Nasional Sistem Informasi Indonesia, 2018: Sesindo.
K. Laia, "Peramalan Produksi Crude Palm Oil (CPO) di Provinsi Riau dengan Pendekatan Model Arima (Autoregresif Integrated Moving Average)," Prodi Agribisnis Fakultas Pertanian, Universitas Islam Riau, Pekanbaru, 2019.
S. P. Elvani, A. R. Utary, and R. Yudaruddin, "Peramalan Jumlah Tanaman Kelapa Sawit dengan Menggunakan Metode Arima (Autoregressive Integrated Moving Average)," Jurnal Manajemen, vol. 8, no. 1, pp. 95-112, 2016.
S. Wijaksono and W. Sulistijanti, "Peramalan Produksi Teh Hijau dengan Pendekatan Autoregressive Integrated Moving Average," in Seminar Nasional Pendidikan, Sains dan Teknologi, Semarang, 2018: Universitas Muhammadiyah Semarang.
Zulhamidi and R. Hardianto, "Peramalan Penjualan Teh Hijau dengan Metode Arima (Studi Kasus pada PT. MK," Jurnal PASTI, vol. 11, no. 3, pp. 231-244, 2017.
H. Sugianto, "Akurasi Metode Forecasting ARIMA dan GARCH pada Harga Saham Indeks LQ-45," Magister Manajemen, Universitas Atmajaya Yogyakarta, Yogyakarta, 2020.
R. Arnitasari, "Komparasi Penggunaan Minitab dan EViews dalam Peramalan dengan Metode Deret Berkala ARIMA Box-Jenkins," Fakultas Matematika dan Ilmu Pengetahuan, Universitas Negeri Semarang, Semarang, 2016.
H. Hardani et al., Buku Metode Penelitian Kualitatif & Kuantitatif. 2020.
A. M. Yusuf, Metode Penelitian Kuantitatif, Kualitatif & Penelitian Gabungan. Prenada Media, 2016.
G. E. P. Box and G. M. Jenkins, Time Series Analysis Forecasting and Control. Oakland: CA: Holden-Day, 1976.
Cryer, Time Series Analysis Forecasting and Control. United State: Springer Text in Statistics, 2008.
D. C. Frechtling, Forecasting Tourism Demand: Methods and Strategies. Oxford-UK: Butterworth-Heinemann, 2001.
L. Sumayang, Dasar-Dasar Manajemen Produksi dan Operasi. Jakarta: Salemba Empat, 2003.
W. W. Winarno, Analisis Ekonometrika dan Statistika dengan EViews. Yogyakarta: UPP STIM YKPN, 2017.
MediaPerkebunan.id, "Inhil Sudah Hasilkan 50 Produk Hilir Kelapa," 30 Mei 2021.
Khairizal, S. Vaulina, and H. A. Wahyudi, "Analisis Faktor yang Mempengaruhi Produksi Kelapa Dalam (Cocos nucifera Linn) pada Lahan Gambut dan Lahan Mineral di Kabupaten Indragiri Hilir Provinsi Riau," Jurnal Dinamika Pertanian, vol. 34, no. 3, pp. 191-200, 2018.
Masterplandesa, "Pengembangan Potensi Desa Perkebunan Kelapa Kabupaten Indragiri Hilir," 27 April 2022.
L. Suhardiono, Tanaman Kelapa. Yogyakarta: Kanisius, 1993.
AntaraRiau, "Disbun: Produksi Kelapa Inhil Menurun," 19 Agustus 2016.
DOI: https://doi.org/10.32520/stmsi.v12i1.2531
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