Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment
Primajaya Pantes Garment is a company that runs its business in garment sector. However, due to various numbers of requests each month, the company is difficult to determine the amount of production per month that is appropriate to maximize profits. The purpose of this study is to determine the appr...
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| Format: | Article |
| Language: | English |
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Bina Nusantara University
2013-09-01
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| Series: | Journal the Winners |
| Subjects: | |
| Online Access: | https://journal.binus.ac.id/index.php/winners/article/view/651 |
| _version_ | 1818866107413430272 |
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| author | Inti Sariani Jianta Djie |
| author_facet | Inti Sariani Jianta Djie |
| author_sort | Inti Sariani Jianta Djie |
| collection | DOAJ |
| description | Primajaya Pantes Garment is a company that runs its business in garment sector. However, due to various numbers of requests each month, the company is difficult to determine the amount of production per month that is appropriate to maximize profits. The purpose of this study is to determine the appropriate forecasting method that can be used as a reference to determine the amount of production in the next period and to find a combination of products to maximize profits. Research used forecasting methods, including naive method, moving averages, weighted moving averages, exponential smoothing, exponential smoothing with trend, and linear regression. In addition, this study also used Linear Programming method with Simplex method to determine the best combination of products for the company and to choose a decision using a decision tree to determine which alternative should be done by the company. Results of this study found that the linear regression method is the most appropriate method in determining the forecast demand in the next period. While in the Linear Programming method, constraints used were the constraints of raw materials, labor hours, and limited demand for the product. The result of the decision tree is to increase production capacity. |
| first_indexed | 2024-12-19T10:58:11Z |
| format | Article |
| id | doaj.art-95682cbaab40404db9fe40bbfb518672 |
| institution | Directory Open Access Journal |
| issn | 1412-1212 2541-2388 |
| language | English |
| last_indexed | 2024-12-19T10:58:11Z |
| publishDate | 2013-09-01 |
| publisher | Bina Nusantara University |
| record_format | Article |
| series | Journal the Winners |
| spelling | doaj.art-95682cbaab40404db9fe40bbfb5186722022-12-21T20:24:44ZengBina Nusantara UniversityJournal the Winners1412-12122541-23882013-09-0114211311910.21512/tw.v14i2.651501Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes GarmentInti Sariani Jianta Djie0PT Anugerah Ajita Sukses BersamaPrimajaya Pantes Garment is a company that runs its business in garment sector. However, due to various numbers of requests each month, the company is difficult to determine the amount of production per month that is appropriate to maximize profits. The purpose of this study is to determine the appropriate forecasting method that can be used as a reference to determine the amount of production in the next period and to find a combination of products to maximize profits. Research used forecasting methods, including naive method, moving averages, weighted moving averages, exponential smoothing, exponential smoothing with trend, and linear regression. In addition, this study also used Linear Programming method with Simplex method to determine the best combination of products for the company and to choose a decision using a decision tree to determine which alternative should be done by the company. Results of this study found that the linear regression method is the most appropriate method in determining the forecast demand in the next period. While in the Linear Programming method, constraints used were the constraints of raw materials, labor hours, and limited demand for the product. The result of the decision tree is to increase production capacity.https://journal.binus.ac.id/index.php/winners/article/view/651linear programmingforecastingdecision treelinear regression |
| spellingShingle | Inti Sariani Jianta Djie Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment Journal the Winners linear programming forecasting decision tree linear regression |
| title | Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment |
| title_full | Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment |
| title_fullStr | Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment |
| title_full_unstemmed | Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment |
| title_short | Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment |
| title_sort | analisis peramalan penjualan dan penggunaan metode linear programming dan decision tree guna mengoptimalkan keuntungan pada pt primajaya pantes garment |
| topic | linear programming forecasting decision tree linear regression |
| url | https://journal.binus.ac.id/index.php/winners/article/view/651 |
| work_keys_str_mv | AT intisarianijiantadjie analisisperamalanpenjualandanpenggunaanmetodelinearprogrammingdandecisiontreegunamengoptimalkankeuntunganpadaptprimajayapantesgarment |