The purpose of this research is to build decisions support model to predict sales and stock purchase using Trend Moment method and Tsukamoto Fuzzy Inference System. Trend moment is a simple statistical-based forecasting method widely used to forecast sales in a company using historical data. Tsukamoto is a fuzzy inference system that uses monotonic reasoning to determine output. The object of this research is sales and purchase data for Ice Cream X Depo Jambi products from August 2019 to April 2020. The study aims to build a decision support model web-based to predict sales and purchases of ice cream X stock at Jambi depots. Fuzzy Tsukamoto in this study will be used to predict product stock purchases after predicting future sales using trend moments. The system input is in product data form, data of ice cream sales history, and data of ice cream stock purchase. Sales history data will be use to calculate slope and constanta that will predict future sales trends. Stocks purchase history data along with sales trend prediction value will be use to calculate the membership degree of fuzzy variables, perform the aggregation process on fuzzy rules, and then carry out the defuzzification process to produce output prediction values for future ice cream stock purchases. from the prediction model implemented in the decision support system, sales prediction data has an accuracy of 71% while stock purchase predictions have an accuracy of 85%.
Al-Fath Hotel located in Jambi City is one of the Jasmine 2 syariah hotels located in Jambi City, and is a growing hotel and continues to strive to improve hotel services and quality standards from various sides, including the use of information technology. The Hotel Reservation information system is a system that can support the level of fluency in carrying out Hotel reservation activities. In room rentals often experience errors in making reports specifically to calculate the number of reports staying overnight. This study aims to develop the Al-Fath Jambi Hotel Reservation Information System, which will be easier in promoting and marketing. Making this Website uses Adobe Dreamweaver CS5 tools, MySQL as its database and CSS Bootstrap so that the display is more attractive and responsive. Inputs from the system are input guest data, room type data, booking data, room data, transaction data and photo data. The process carried out on input data is the booking process, guest process, and transaction process. The system output is information about transaction data reports. Results of the Information System Research Reservation Al-Fath Jambi Hotel can assist the hotel in processing reservation data.
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