Implementasi Metode Simple Exponential Smoothing Winter’s Untuk Memprediksi Pakan Ternak
-
Faozanolo Lafau
*
Universitas Budi Darma, Medan,
Indonesia
(*) Corresponding Author
Abstract
So far, production has been carried out based on warehouse stock. Where production continues regardless of sales demand. This can result in losses if the number of sales requests is less than the production results so that there are unsold products left, or if there are sales requests that exceed stock so that PT. Satwa Karya Prima was unable to fulfill the request. This is due to the inaccuracy of sales requisition data due to manual recording. To overcome this problem, a new system is needed to improve the current system. From the test results, the software created is able to find out the amount of stock required, the estimated number of sales requests, forecasting results using the Simple Exponential Smoothing and Winter's methods of production each month and production results. It is hoped that using the Simple Exponential Smoothing and Winters Methods can overcome smaller production estimation errors with minimum error values.
References
Pramita, Wahyu, 2010, “Penerapan Metode Exponential Smoothing Winter Dalam Sistem Informasi Pengendalian Persediaan Produk dan Bahan Baku Sebuah Cabe”, SemnasiF, ISSN : 1979-2328
Fani, Elisa, et.al, 2017, “Perbandingan Metode Winter Eksponensial Smoothing dan Metode Event Based Untuk Menentukan Penjualan Produk Terbaik di Perusahaan X, Jurnal Sains dan Seni ITS, Vol. 6, No.1
Saepulloh, Irfan, et.al, 2018, “Forecasting Kebutuhan Obat Menggunakan Metode Pola Konsumsi, Pola Mirdibilitas dan Winter’s Exponential Smoothing di RS Paru Dr.H.A Rotinsulu Bandung.
Ni Luh Wiwik Sri Rahayu Ginantra dan Ida Bagus Gede Anandita, 2019, “Penerapan Metode Single Exponential Smoothing Dalam Peramalan Penjualan Barang”, Jurnal Sains Komputer & Informatika, Volume 3, Nomor 2, ISSN : 2548-9771
http://jualbeliforum.com/pendidikan/215357-pengertian-implementasi-menurut-para-ahli.html, diakses tanggal 2 September 2021.
Delima, Erma, Sikumbang, 2018, “Penerapan Data Mining Penjualan Sepatu Menggunakan Algoritma Apriori, Jurnal Teknik Komputer, Vol. 4, No. 1
Rerung, Rante, Rintho, 2018, “Penerapan Data Mining Dengan Memanfaatkan Metode Association Rule Untuk Promosi Produk”, Jurnal Teknologi Rekayasa, Vol. 3, No. 1
Fajrin, Annurullah, Alfannisa, et.al, 2018, “Penerapan Data Mining Untuk Analisis Pola Pembelian Konsumen Dengan Algoritma FP-Growth Pada Data Transaksi Penjualan Spare Part Motor”, Kumpulan Jurnal Ilmu Komputer (KLIK), Volume 05, No. 01.
http://digilib.undip.ac.id/v2/2015/05/19/pakan-ternak/diakses tanggal 2 September 2021
Julsam, Handryawan, A.M; Alexyusandria, 2009, “Penambangan Data Format Text Excel Dengan Software Tanagra”, Jurnal Elektron, Vol. 1, No.1.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Metode Simple Exponential Smoothing Winter’s Untuk Memprediksi Pakan Ternak
Pages: 120-131
Copyright (c) 2023 Faozanolo Lafau
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
