Authors:

NURUL SOLEKAH, I GUSTI AGUNG AYU AMBARAWATI, NI MADE CLASSIA SUKENDAR

Abstract:

“Analysis of Forecasting drink Sales of Sari Nanas Segarrr at PT Putra Jaya Nanas in Blitar Regency, East Java Province. PT Putra Jaya Nanas is a company that processes pineapples into beverage product. The sale of Sari Nanas Segarrr beverage had fluctuated from May 2017 to May 2020 due to seasonal factor. This study aims to determine the best method of forecasting sales for Sari Nanas Segarrr and analyze the sale forecasting level in the upcoming period using the best forecasting method. This study uses 37 months sales data from May 2017 to May 2020. The sales data are processed using a time series forecasting method to select the best method by looking at the value of the Mean Squared Error (MSE). Based on the analysis, the best forecasting method is the Quadratic Trend (non- linear) method which has the smallest MSE. The forecasting method suggests that the next year sales, from June 2020 to May 2021 (period 38 – 49), will increase with the average monthly sales of 9, 09%. The company should use the forecasting method for better stock planning and to optimize the production in meeting the demand in the coming year.”

Keywords

Keyword Not Available

Downloads:

Download data is not yet available.

References

  • Barus APY. 2011. Penurunan Mut Buah Nanas (Ananas Comosus (L) Merr.) Dalam Kemasan Setelah Tranportasi Darat. Skripsi. Institut Pertanian Bogor. Bogor.
  • Firdaus,M. 2006. Analisis Deret Watu Satu Ragam. IPB. Bogor.
  • Hadiati Sri & Indriyani Ni Luh Putu. 2008. Budidaya Nenas. Balai Penelitian Tanaman Buah Tropika. Sumatera Barat.
  • Kartika, Priska Nur dan Fithri Choirun Nisa. 2015. Studi Pembuatan Osmodehidrat Buah Nanas (Ananas comosus L. Merr): Kajian Konsentrasi Gula Dalam Larutan Osmosis dan Lama Perendaman. Jurnal Pangan dan Agroindustri 3 Vol. (4):1345-1355.
  • Lestari, N dan N. Wahyuningsih. 2012. Peramalan Penjualan Kunjungan Wisata dengan Pendekatan Model Sarima (Studi Kasus: Kusuma Agrowisata). Jurnal Sains & Seni Vol. 1 (1):29-33.
  • Saty, Fadila Marga, Muhammad Irfan Affandi, Fembriarti Erry Prasmatiwi. 2016. Analisis Finansial dan Resiko Teknologi Pisang Kultur Jaringan Di Kabupaten Lampung Selatan. JIIA Vol. 4 (1):269-276.
  • Sugiyono. 2013. Metode Penelitian Kuantitatif, Kualitatif dan R & D.PT Alfabet. Bandung.
  • Sugiyono. 2016. Metode Penelitian Kuantitatif, Kualitatif dan R & D.PT Alfabet. Bandung.
  • Render, B dan Jay Heizer.2001. Prinsip- Prinsip Manajemen Operasi. Salemba Empat. Jakarta.
  • Yanti Ni Putu Lisna Padma, L.A Mahatma T, A.A.P. Agung Suryawan Wiranaatha. 2016. Anlisis Peramalan Penjualan Produk Kecap Manalagi Denpasar Bali Jurnal Rekayasa dan Manajemen Agroindustri Vol. 4 (1): 72-81.

PDF:

https://jurnal.harianregional.com/jaa/full-89810

Published

2022-07-26

How To Cite

SOLEKAH, NURUL; AMBARAWATI, I GUSTI AGUNG AYU; SUKENDAR, NI MADE CLASSIA. Analisis Peramalan Penjualan Minuman Sari Nanas Segarrr pada PT Putra Jaya Nanas di Kabupaten Blitar, Provinsi Jawa Timur.Jurnal Agribisnis dan Agrowisata (Journal of Agribusiness and Agritourism), [S.l.], p. 317-325, july 2022. ISSN 2685-3809. Available at: https://ojs.unud.ac.id/index.php/JAA/article/view/89810. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JAA.2022.v11.i01.p29.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol.11, No.1, Juli 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License