Prediction of the Amount of Areca Nut Plantation Production in Riau Province Using the Single Exponential Smoothing

Zukrianto Zukrianto, Melka Pratama Melka Pratama

Abstract


Data in this study was obtained from the Riau Provincial Plantation Office. This study aims to forecast areca nut plantation production in Riau Province in 2023. The data used is data obtained from the Riau Provincial Plantation Office in 2011-2022. Betel seeds are generally grown to be used for their seeds, areca nuts that are traded, especially those that have been dried, in a whole (round), split, and there is also by boiling to get the quality of areca nuts to be exported. Betel seeds have been used since hundreds of years ago as one of the mixtures of people eating betel nut in addition to gambier and lime. In addition, areca nuts are also used as industrial raw materials such as fabric dyes and medicines. The separation of areca nuts is carried out by splitting them using a knife or machete, drying them in the sun, then prying and drying them before selling them to collectors. The purpose of this study is to find out the results of predicting the number of areca nut production in Riau Province and find out the results of forecasting the number of areca nut production in Riau Province in 2023. The method used in this study is Single Exponential Smoothing. Based on the results of data processing from 2011 to 2022, the results of this forecast have a MAPE value with α = 0.7 in 2023 of 7.095371%. The results show that the Single Exponential Smoothing method has a good level of accuracy to predict the amount of areca nut production in Riau Province

Keywords


MAPE; Pinang; Prediction; Single Exponential Smoothing

Full Text:

PDF

References


R. Arifullah et al., “Faktor-faktor yang mempengaruhi Produksi Petani Pinang di Desa Sungai Gebar Barat Kecamatan Kuala Betara Kabupaten Tanjung Jabung Barat,” (Jurnal Perspektif Ekonomi dan Pembangunan Daerah), 2017.

N. Firmanda, L. Mohammad Baga, dan J. Purwono, “Analisis Pemasaran Pinang di Kabupaten Bireuen, Provinsi Aceh,” Jurnal Agribisnis Indonesia, vol. 10, no. 1, pp. 126–141, Jun. 2022.

M. N. Arridho and Y. Astuti, “Penerapan Metode Single Exponential Smoothing untuk Memprediksi Penjualan Katering pada Kedai Pojok Kedaung Implementation Single Exponential Smoothing Method ForSales Catering Prediction At Kedai Pojok Kedaung,” Jurnal Ilmiah Intech: Information Technology Journal of UMUS, vol. 2, no. 02, pp. 35–44, 2020.

D. Romaita, F. A. Bachtiar, dan M. T. Furqon, “Perbandingan Metode Exponential Smoothing untuk Peramalan Penjualan Produk Olahan Daging Ayam Kampung (Studi Kasus: Ayam Goreng Mama Arka),” 2019.

Rahmadeni and N. Mufalhalivah, “Metode Single Exponential Smoothing dalam Peramalan Jumlah Pembuatan E-KTP,” (Jurnal Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI) 13 Fakultas Sains dan Teknologi), 2021.

E. Nuryani, Rudianto, R. Budiman, dan E. Lazuwardi, “Peramalan Persediaan Obat Menggunakan Metode Single Exponential Smoothing,” JSiI (Jurnal Sistem Informasi), vol. 9, no. 2, pp. 186–192, Sep. 2022.

D. Dewana and M. Rahman, “Sistem Peramalan Jumlah Pengunjung pada PT. Garuda Plaza Hotel Menggunakan Metode Single Exponential Smoothing Visitor Forecasting System at PT. Garuda Plaza Hotel Uses Single Exponential Smoothing Method,” Jurnal Rekayasa Sistem vol. 1, no. 3, pp. 960–971, 2023.

M. Ena, “Penerapan Metode Single Exponential Smoothing dalam Memprediksi Jumlah Penerimaan Mahasiswa Baru Tahun 2023,” Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika, vol. 4, no. 2, 2023.

A. Aliniy, Yuwanda Purnamasari Pasrun, dan Andi Tenri Sumpala, “Prediksi Jumlah Mahasiswa Baru Fti Usn Kolaka Menggunakan Metode Single Exponential Smoothing,” SATESI: Jurnal Sains Teknologi dan Sistem Informasi, vol. 3, no. 1, pp. 20–25, Apr. 2023.

D. Sitompul and R. Puspasari, “Perancangan Aplikasi Peramalan Penjualan Minyak Solar PT. Willy Dwi Perkasa Menggunakan Metode Single Exponential Smoothing Design of Solar Oil Sales Forecasting Application PT. Willy Dwi Perkasa uses the Single Exponential Smoothing Method,” 2023.




DOI: http://dx.doi.org/10.24014/icopss.v4i1.35598

Refbacks

  • There are currently no refbacks.


 

 

  

  

 

 

Journal ICoPSS : Indonesian Council of Premier Statistical Science

Publisher: Universitas Islam Negeri Sultan Syarif Kasim Riau
Website: http://ejournal.uin-suska.ac.id/index.php/icopsic
Official Email: ICoPremierStat@uin-suska.ac.id
Address: Jl. H.R. Soebrantas Km. 15.5 No. 155 Gedung Fakultas Sains dan Teknologi UIN Sultan Syarif Kasim Riau Kel. Tuahmadani Kec. Tampan Pekanbaru - Riau 28293
 

View My Stats

Flag Counter

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.