Gaung Informatika
Vol 9 No 3 (2016): Jurnal Gaung Informatika Vol.9 No 3 Oktober 2016

ANALISIS FORECASTING (PERAMALAN) PRODUK KERIPIK PISANG KEMASAN BUNGKUS (STUDI KASUS : HOME INDUSTRY-KERIPIK PISANG SURAKARTA)

Erna Indriastiningsih (Unknown)
Anita Oktaviana Trisna Devi (Unknown)



Article Info

Publish Date
10 Oct 2016

Abstract

Forecasting is a method for estimating a value in the future by using past data. This research was conducted at the Home Industry Arwana Food. In this study, theauthor discusses the forecasting analysis of sales of banana chips products for packaging types. Forecasting is done using three methods, namely the Moving Averagemethod, the Exponential Smoothing with Trend method and the Trend analysis method by comparing the smallest error rate, the chosen forecasting method is the TrendAnalysis method, with the MAD value of 161.3539, MSE of 55744 , 16, and a standard error of 242,947. From the analysis of data processing that has been carried out basedon the chosen forecasting method, sales forecasting for banana chips products of packaged type is 1121,424 or 1122 packs / month, meaning that Home Industry -Surakarta Banana Chips must provide as many as banana chips. 1122 packs for each month.

Copyrights © 2016






Journal Info

Abbrev

GI

Publisher

Subject

Computer Science & IT

Description

Jurnal Gaung Informatika diterbitkan oleh Program Studi Informatika, Fakultas Sains, Teknologi, Kesehatan, Universitas Sahid Surakarta sejak 1 Januari 2009. Latar belakang awal diterbitkannya jurnal berkala ini adalah guna mempublikasikan karya ilmiah para dosen, peneliti, maupun praktisi dibidang ...