Information System for Forecasting Course Quotas using Trend Analysis Method

Determining the class quota at each period of filling out KRS (Study Plan Card) beginning semester is often an activity that cannot be determined easily. This due to several important factors in it, one most influential and difficult things uncertainty when determining for number students who will take course question, if later there error predicting course, then prepared certainly less so it leads disruption ongoing Student registration process. The method used this study forecasting using trend analysis which aims determine how much capacity or inventory needed decision-making, a system designed can predict quotas courses provided. design applies development with UML. stages process are carried from collecting processing subject offer data previous academic years. Research has succeeded building model make predictions Trend Analysis method, as recommendation offered next year.