CD Skripsi
Peramalan Peserta Aktif Dan Peserta Baru Keluarga Berencana Di Provinsi Riau Menggunakan Metode Weighted Moving Average
The importance of collecting data on the number of active participants and new family planning participants means that BKKBN needs to predict and record the number of active participants and new family planning participants in the future. The aim of the research is to predict the number of active participants and new family planning participants using the Weighted Moving Average method. Weighted Moving Average is a method of predicting activities using a weighted moving average from several recent data. This method is used to determine the trend of a series in previous data. The system design uses the Unified Modeling Language, namely Use Case Diagrams, Sequence Diagrams and Class Diagrams which are implemented using the PHP programming language and MySQL database. The data used in the research is data on the number of active participants and new participants in BKKBN Riau Province in January 2020 to April 2021. The predicted results for the number of active participants and new participants in May 2021 are Active Participants (692.251) and New Participants (8.432). The prediction results were declared successful because the average MAPE value was 1,1% with very good information so that this system can be recommended to related parties who need it.
Keywords: Weighted Moving Average, MAPE, Forecasting, BKKBN
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