Analisis Perbandingan Metode Single Exponential Smoothing dan Single Moving Average dalam Peramalan Pemesanan

Jurnal Informatika Universitas Pamulang

View Publication Info
 
 
Field Value
 
Title Analisis Perbandingan Metode Single Exponential Smoothing dan Single Moving Average dalam Peramalan Pemesanan
 
Creator Santiari, Ni Putu Linda
Rahayuda, I Gede Surya
 
Subject Computer Science
Single Moving Average; Forcecast; Single Exponential Smoothing
 
Description ACK Fried Chicken (Ayam Crispy Kriuk) is a local fast food business that provides food and beverages. The competition for chicken franchises in Bali and the number of orders made by customers through online applications, namely the Gofood and Grabfood applications on ACK Fried Chicken, has resulted in the importance of implementing the SCM strategy in ACK Fried Chicken, to maintain customer trust and satisfaction. By providing an overview to make estimates in the present for future production, it is necessary to forecast demand which is carried out using the forecasting method. The forecasting method used is the time series method, namely the Single Exponential Smoothing method and the Single Moving Average method. Forecasting using the time series method, namely SES and SMA, the forecasting model is obtained from the actual data used in this case study, the forecasting model using the SMA method is declared very good because it has a MAPE value <10% while the SES method is declared good because it has a MAPE value. = 11% (10-20%). The SMA method has an error rate that is more sophisticated than the SES method. For forecasting order requests in this study, the SMA method is better used because it has the smallest error rate in forecasting.
 
Publisher Teknik Informatika Universitas Pamulang
 
Contributor
 
Date 2021-06-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://openjournal.unpam.ac.id/index.php/informatika/article/view/10135
10.32493/informatika.v6i2.10135
 
Source Jurnal Informatika Universitas Pamulang; Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG; 312-318
Jurnal Informatika Universitas Pamulang; Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG; 312-318
2622-4615
2541-1004
 
Language eng
 
Relation http://openjournal.unpam.ac.id/index.php/informatika/article/view/10135/pdf
 
Rights Copyright (c) 2021 linda santiari
http://creativecommons.org/licenses/by-nc/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library