Peramalan Penjualan Produk Dengan Metode Regresi Linear Dan Aplikasi POM-QM di PT XYZ
| Main Authors: | Prakoso, Ilyas Aji, Kusnadi, Kusnadi, Nugraha, Billy |
|---|---|
| Other Authors: | Perusahaan PT. XYZ, Universitas Singaperbangsa Karawang |
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Widya Teknik
, 2021
|
| Subjects: | |
| Online Access: |
http://journal.wima.ac.id/index.php/teknik/article/view/3158 http://journal.wima.ac.id/index.php/teknik/article/view/3158/pdf |
| ctrlnum |
article-3158 |
|---|---|
| fullrecord |
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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">Peramalan Penjualan Produk Dengan Metode Regresi Linear Dan Aplikasi POM-QM di PT XYZ</title><creator>Prakoso, Ilyas Aji</creator><creator>Kusnadi, Kusnadi</creator><creator>Nugraha, Billy</creator><subject lang="en-US">Forecasting, Sales, Linear Regression</subject><description lang="en-US">Forecasting is a method for estimating a value in the future or the future using past data. For forecasting in this study conducted at PT. XYZ, where this company produces fertilizers and sells it in the city and out of town, in this research the researchers discuss forecasting product sales using the exponential smoothing method and also the linear regression method and re-accurate using the POM-QM application or software. The use of these 2 forecasting methods is to obtain forecasting results that have the smallest MSE value, and in this study the data were taken from the company PT. This XYZ is data in 2019</description><publisher lang="en-US">Widya Teknik</publisher><contributor lang="en-US">Perusahaan PT. XYZ, Universitas Singaperbangsa Karawang</contributor><date>2021-07-19</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://journal.wima.ac.id/index.php/teknik/article/view/3158</identifier><identifier>10.33508/wt.v20i1.3158</identifier><source lang="en-US">Widya Teknik; Vol 20, No 1 (2021): May; 17-20</source><source>2621-3362</source><source>1412-7350</source><source>10.33508/wt.v20i1</source><language>eng</language><relation>http://journal.wima.ac.id/index.php/teknik/article/view/3158/pdf</relation><rights lang="en-US">Copyright (c) 2021 Ilyas Aji Prakoso, Kusnadi ., Billy Nugraha</rights><rights lang="en-US">https://creativecommons.org/licenses/by-nc-sa/4.0</rights><recordID>article-3158</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:eJournal |
| author |
Prakoso, Ilyas Aji Kusnadi, Kusnadi Nugraha, Billy |
| author2 |
Perusahaan PT. XYZ, Universitas Singaperbangsa Karawang |
| title |
Peramalan Penjualan Produk Dengan Metode Regresi Linear Dan Aplikasi POM-QM di PT XYZ |
| publisher |
Widya Teknik |
| publishDate |
2021 |
| topic |
Forecasting Sales Linear Regression |
| url |
http://journal.wima.ac.id/index.php/teknik/article/view/3158 http://journal.wima.ac.id/index.php/teknik/article/view/3158/pdf |
| contents |
Forecasting is a method for estimating a value in the future or the future using past data. For forecasting in this study conducted at PT. XYZ, where this company produces fertilizers and sells it in the city and out of town, in this research the researchers discuss forecasting product sales using the exponential smoothing method and also the linear regression method and re-accurate using the POM-QM application or software. The use of these 2 forecasting methods is to obtain forecasting results that have the smallest MSE value, and in this study the data were taken from the company PT. This XYZ is data in 2019 |
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Universitas Katolik Widya Mandala Surabaya |
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50 |
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library:university library |
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Perpustakaan Universitas Katolik Widya Mandala Surabaya |
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525 |
| collection |
Widya Teknik |
| repository_id |
2662 |
| city |
KOTA SURABAYA |
| province |
JAWA TIMUR |
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IOS2662 |
| first_indexed |
2023-07-13T08:01:16Z |
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2023-07-13T08:01:16Z |
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