P T. Kimia Farma Tbk Plant Jakarta is a company engaged in the process industry especially in the manufacture of medical drugs. There are two term that usually used in the factory to distinguish a product that have already undergo a process of primary and secondary packaging (product preparation), and a product that only undergo primary packaging process (bulk product). There are four types form of the drugs that PT. Kimia Farma Tbk Plant Jakarta produce, four kinds of drug forms are cream, liquid or suspension, capsule, and tablet. The main problems of PT. Kimia Farma Tbk Plant Jakarta is the companies do not use special methods in forecasting the demand for drugs each year, thus causing an error in master production scheduling and material requirements planning. Errors in the raw material requirements planning led to frequent shortages of raw materials for drug production and ultimately led the company often can not meet the target of the drug demand of marketing. Therefore in this study will be used forecasting methods Neural Networks, the forecasting method that works like the human brain, this method is able to produce a sufficiently precise prediction value for the data pattern fluctuate. Preparation of the Master Production Schedule and the method of testing RCCP Bill of Labor. Raw material requirements planning using techniques lotting method Lot For Lot and Wagner Within that allow PT. Kimia Farma Tbk Jakarta Plant to get the release order and generate a total requirement of raw material cost is minimum. Based on the results of the calculation of demand forecasting using artificial neural networks are better than forecasting the demand made by the company, and raw material requirements planning with lotting techniques and methods Lot Lot For Wagner Within the same result in the minimum total cost. The results of demand forecasting using artificial neural network methods result in the amount of bulk product to be produced in the first quarter of 2012, for families cream 1.197.633 tubes, suspension 536.847 bottles, capsule 69.247 capsules, tablet 69.448 tablets, while in quarter two of 2012 amount of bulk product to be produced for families cream 1.142.613 tube, suspension 643.667 bottles, capsule 69.909 capsules, tablet 77.209 tablets, where the results of forecasting for each family of products is 100% of bulk drugs to meet the demand for drugs. The results of the aggregate planning strategies using mixed methods is the minimum of production cost rather than not use aggregate planning with differrent percentage 33% to 41% . The capacity of master production schedule required that are planned are still able to meet the capacity available on each production line. The result of material requirement planning , show that the lotting method in accordance with the condition of the company is lot for lot method, because due to the actual state of production planning and ordering of pharmaceutical raw materials require reservations raw material or release order made per quarter.