Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment
DOI:
https://doi.org/10.21512/tw.v14i2.651Keywords:
linear programming, forecasting, decision tree, linear regressionAbstract
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.
Plum Analytics
References
Dimyati, T. T. & Dimyati, A. (2006). Operations Research. Bandung: Sinar Baru Algensindo.
Fariza, A. (2007). Time Series (Deret Berkala), Statistik Ekonomi. Jurusan Teknologi Informasi Politeknik Elektronika Negeri Institut Teknologi Sepuluh Nopember.
Hasibuan. (2011). Diakses 15 Juli 2012 dari http://repository.usu.ac.id/bitstream/123456789/24360/3/Chapter%20II.pdf.
Heizer, J. & Render, B. (2009). Operations Management (Manajemen Operasi). Buku 1, Edisi 9, Edisi Indonesia. Jakarta: Salemba Empat.
Mulyono, S. (2007). Riset Operasi. Jakarta: Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.
Murahartawaty. (2009). Diakses 15 Juli 2012 dari http://if29noltiga.9.forumer.com/index.php?s=1b665dad463ec7e2954e9a7fb5dc80d2&act=Attach&type=post&id=105.
Murugan, N. & Manivel, S. (2009). Profit planning of an NGO run enterprise using linear programming approach. Internasional Research Journal of Finance and Economics, 23, 443–454.
Nugroho, K. W. (2002). Eksentrik Digraf dari Graf Star, Graf Double Star dan Graf Komplit Bipartit. Jember: Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Jember.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)