OPTIMALISASI PERENCANAAN PRODUKSI DENGAN PREEMPTIVE GOAL PROGRAMMING (STUDI KASUS: UD. DODOL MADE MERTA TEJAKULA, SINGARAJA)

  • NI PUTU DEVIYANTI Faculty of Mathematics and Natural Sciences, Udayana University
  • NI KETUT TARI TASTRAWATI Faculty of Mathematics and Natural Sciences, Udayana University
  • I WAYAN SUMARJAYA Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

One of the companies in production and marketing of dodol in Singaraja area is UD. Dodol Made Merta. This company produces four variants of dodol namely dodol merah, dodol kayu sugih, dodol ketan hitam, and dodol kacang. All the four dodol variants have a different demand levels.This aim of this research is to determine the optimal prediction of the amount of production that must be produced every month so that profit can be maximized by minimizing the cost of production. This research was done using two methods ARIMA. The best model for dodol merah is ARIMA (1,0,1), dodol kayu sugihis ARIMA(1,0,0), dodol ketan hitam is ARIMA (1,0,0) and dodol kacang is ARIMA(0.01).

Downloads

Download data is not yet available.

Author Biographies

NI PUTU DEVIYANTI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
NI KETUT TARI TASTRAWATI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
I WAYAN SUMARJAYA, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Published
2015-11-24
How to Cite
DEVIYANTI, NI PUTU; TASTRAWATI, NI KETUT TARI; SUMARJAYA, I WAYAN. OPTIMALISASI PERENCANAAN PRODUKSI DENGAN PREEMPTIVE GOAL PROGRAMMING (STUDI KASUS: UD. DODOL MADE MERTA TEJAKULA, SINGARAJA). E-Jurnal Matematika, [S.l.], v. 4, n. 4, p. 201-207, nov. 2015. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/16645>. Date accessed: 25 june 2022. doi: https://doi.org/10.24843/MTK.2015.v04.i04.p112.
Section
Articles

Keywords

Time Series Stationer Model (AR, MA, ARMA); Time Series Non-Stasioner Model; ARIMA

Most read articles by the same author(s)

1 2 3 4 > >>