Software Design For Production Planning Of Chrysantemum Fresh Flower (Case Study at PT. Alam Indah Bunga Industara, Cipanas-West Java)

Abstract

This paper describes the development and implementation of software production planning of clvysantemum fresh flower. The software utilizes quantitative method time series (moving average and exponential smoothing) for predicting the demand of fresh flowers. The software is also equipped with a simulation utility (using Monte Carlo method) for computing total cost activity in one greenhouse tunnel during one period plant. Based on the case test observation carried out at PT. Alam Indah Bunga Husantara Cipanas, it is obtained that the error introduced by qualitative forecasting is 15.12%. The errors ofquantitative forecasting using moving average and exponential smoothing are 8.32 %, and 18.72 % respectively. The mean value oftotal cost simulation (Rp 28.291Im2) does not differ significantly from while the mean value of the real cost production (Rp 28.554Im2). This introduces error equal to 0.92%'