JSIKA Vol. 6, Nomor 1. Tahun 2017 ISSN 2338-137X JSIKA Vol. 6, No. 1, Tahun 2017, ISSN 2338-137X Page 1 The Application Of Raw Materials Controlling In UD Chandra Group Beby Mutiara Islami 1) Januar Wibowo 2) Endra Rahmawati 3) S1 / Jurusan Sistem Informasi Institut Bisnis dan Informatika Stikom Surabaya Jl. Raya Kedung Baruk 98 Surabaya, 60298 Email: 1) mutiaraislami16@gmail.com , 2) januar@stikom.edu , 3) rahmawati@stikom.edu Abstract: UD Chandra Group is a manufacture company which focused in selling softcase. The brand which is developed is ultimate brand. The brand has already dotted throughout Indonesia such are Surabaya, Jember, Banyuwangi, Kediri, Malang, Madiun, Yogyakarta and other big cities. There two types of softcase, double type and single type which each size are 10 inch, 11.6 inch, 12 inch and 14 inch. Until now, in purchasing raw materials, the company refers to customer demand from the previous transaction and the waste stock in bond. Therefore, the company has not supplied the raw materials optimally yet. However, raw materials control application is needed to overcome the problem in supply the raw materials. Raw materials inventory control application provides some menu for calculate forecasting customer demand, including method such as Single Exponential Smoothing (SES) method, Double Exponential Smoothing (HOLT) method and Triple Exponential Smoothing (WINTER) method. That prediction methods are used to predict the customer demand in the future and provide the number of raw materials for the next period. The number result is used as the reference to process the calculation of reorder point (ROP). Reorder point is used to determine the raw materials reorder. Keyword: Application, Forecasting, Inventory Control Raw Materials, SES, HOLT, WINTER, ROP 1. INTRODUCTION UD Chandra Group is one company that is engaged in manufacturing sales of laptop bags (softcase). Brands developed is the ultimate brand. There are two types namely single softcase types and double type with a size of 10 inch, 11.6 inch, 12 inch and 14 inch. In the production process is based on the make to stock. The production capacity adjusted for the number of customer requests every day, so that the production of softcase changed every month. To produce softcase, there are several stages of the production process, before entering into the stages, the first part of the production saw the production plan. Here, production plan is used to see softcase daily production schedule based on customer demand, softcase type, size and number softcase. Then, do the checking of raw materials by the warehouse, if the raw material runs out it will be ordering raw materials, the warehouse will create a list of raw material demand on the part of the purchase, while to make a reservation of raw materials to suppliers, the waiting time (lead time) needed is for less over 2 days. If the raw material is available, it will be continued to the process of production, then part of the production of raw materials make a list of requests to the warehouse. Further into the stages of the production process is the preparation stage, the stage of cutting, sewing stage, kun stage, stage quality control (QC) and the final stages of packing. Raw materials used in the manufacture of softcase is a motif fabric, foam, zippers, hoses, and handle while adjuvant is yarn, shoulder pad, rubber, and hook. The main raw material used is the motif fabric and foam p83. Motif fabric used as an outer layer of foam softcase while p83 function as a reducer softcase foam and used as a basis for making softcase. In fact, so far in the purchase of raw materials raced on customer demand from previous transactions and by the rest of the remaining stock in the warehouse. Thus, the company is not optimal in the procurement of raw materials. In addition, the book takes waiting raw materials (lead time) to reorder for about 2 days. Therefore it takes a raw material inventory control applications to overcome the problems in controlling the raw materials. Where in this application provides several tools for forecasting methods include methods Single Exponential Smoothing (SES), Double Exponential Smoothing (HOLT) and Triple