RAINFALL ANALYSIS BY MINDDECIDER APPLICATION TO DECIDE AGGREGATE SCHEDULING OF SUPAKU COMPANY IN ANTICIPATING WEATHER CHANGE

• Main Author: Nurjanah, Nisa
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/78672
• Institution: Institut Teknologi Bandung

Indonesia is a tropical country. This causes Indonesia has two seasons, they are dry and rainy season. In general, the rainy season lasts from October to March while dry season lasts from April to September. However, the condition of Indonesia’s season is currently hard to predict. This is because there is a weather change due to certain factors. The weather change finally affect many aspects of life in Indonesia, especially in agriculture and industry. In Indonesia, there are many industries using sun heat in the process of their productions, such as in making salt, drying salted fish, and crackers. Specifically, those industries need sun heat for the drying process. One of the SMEs that produces crackers is Supaku Company in which mushroom cracker comes as its main product. Supaku is facing the problems of the drying constraints of crackers due to these uncertain season changes. In this research, there are some methods of collecting data techniques and data analysis used to solve aforementioned Supaku’s problems. It is expected to result in a platform for an alternative solution of Supaku’s problems in production systems. Some of collecting data are from history data of rainfall, design capacity and demand forecasting of Supaku Company. Rainfall history data will be used for making rainfall index to show which months rainfall is high and low. This rainfall index will then determines an effective capacity which is in line with the rainfall condition in each month. The next is the use of aggregate scheduling method to match the demand forecasting with effective capacity in a certain period of time. This method will be helping the researcher to see when and how many productions can be done and how many stock inventory can be gained. Furthermore, by using this method, the company can make a decision on either to increase or to decrease the capacity production.