RANCANG BANGUN APLIKASI PERAMALAN PERMINTAAN PADA TOKO ROTI YULIA BAKERY KEDIRI
| Main Authors: | Puspasari, Lilia; Intitut Bisnis Dan Informatika Stikom Surabaya, Sulistiowati, Sulistiowati, Lemantara, Julianto |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Jurnal JSIKA
, 2015
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| Online Access: |
http://jurnal.stikom.edu/index.php/jsika/article/view/893 http://jurnal.stikom.edu/index.php/jsika/article/view/893/461 http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/561 http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/562 |
| ctrlnum |
article-893 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">RANCANG BANGUN APLIKASI PERAMALAN PERMINTAAN PADA TOKO ROTI YULIA BAKERY KEDIRI</title><creator>Puspasari, Lilia; Intitut Bisnis Dan Informatika Stikom Surabaya</creator><creator>Sulistiowati, Sulistiowati</creator><creator>Lemantara, Julianto</creator><description lang="en-US">Yulia Bakery is one of the bakeries in Kediri. The problems happens when there is a customer who wants to buy bread, but bread available at the store did not meet. This can lead to disappointment on the customer, so that Yulia Bakery can lose customers. This happens because in determining demand, Yulia Bakery has not been able to use the calculation of demand but only based on estimates. The problem can be solved by calculating demand forecasting based on sales data in the previous period. Forecasting calculations using the method of Naive and Exponential Smoothing Winter because this method fits with the pattern of existing data. The method used can forecast demand for the next two periods. Based on trial results and the evaluation shows that forecasting application that has been created can perform calculations using two methods of forecast. The best forecasting value used is selected from a method that has a relatively small error values using Exponential Smoothing Methods Winter. Applications can predict future demand for the two periods with an error value of 106.881. Keywords: Demand Forecasting, Exponential Smoothing Winter, Naive</description><publisher lang="en-US">Jurnal JSIKA</publisher><publisher lang="id-ID">Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)</publisher><contributor lang="en-US"/><date>2015-10-06</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://jurnal.stikom.edu/index.php/jsika/article/view/893</identifier><source lang="en-US">Jurnal JSIKA; Vol 4, No 2 (2015)</source><source lang="id-ID">Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA); Vol 4, No 2 (2015)</source><source>2338-137X</source><language>eng</language><relation>http://jurnal.stikom.edu/index.php/jsika/article/view/893/461</relation><relation>http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/561</relation><relation>http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/562</relation><rights lang="0">Copyright (c) 2016 Jurnal JSIKA</rights><rights lang="0"/><recordID>article-893</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:eJournal |
| author |
Puspasari, Lilia; Intitut Bisnis Dan Informatika Stikom Surabaya Sulistiowati, Sulistiowati Lemantara, Julianto |
| title |
RANCANG BANGUN APLIKASI PERAMALAN PERMINTAAN PADA TOKO ROTI YULIA BAKERY KEDIRI |
| publisher |
Jurnal JSIKA |
| publishDate |
2015 |
| url |
http://jurnal.stikom.edu/index.php/jsika/article/view/893 http://jurnal.stikom.edu/index.php/jsika/article/view/893/461 http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/561 http://jurnal.stikom.edu/index.php/jsika/article/downloadSuppFile/893/562 |
| contents |
Yulia Bakery is one of the bakeries in Kediri. The problems happens when there is a customer who wants to buy bread, but bread available at the store did not meet. This can lead to disappointment on the customer, so that Yulia Bakery can lose customers. This happens because in determining demand, Yulia Bakery has not been able to use the calculation of demand but only based on estimates. The problem can be solved by calculating demand forecasting based on sales data in the previous period. Forecasting calculations using the method of Naive and Exponential Smoothing Winter because this method fits with the pattern of existing data. The method used can forecast demand for the next two periods. Based on trial results and the evaluation shows that forecasting application that has been created can perform calculations using two methods of forecast. The best forecasting value used is selected from a method that has a relatively small error values using Exponential Smoothing Methods Winter. Applications can predict future demand for the two periods with an error value of 106.881. Keywords: Demand Forecasting, Exponential Smoothing Winter, Naive |
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STMIK STIKOM Surabaya |
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KOTA SURABAYA |
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JAWA TIMUR |
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2016-10-07T00:33:38Z |
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