Perbandingan Metode Single dan Double Exponential Smoothing dalam Memprediksi Jumlah Calon Peserta Didik Baru pada SMPIT As-Sakinah Kota Tanjungpinang Berbasis Website

Abstract

SMPIT As-Sakinah Tanjungpinang City, as a continuation of Elementary School (SD) is a school that combines Islamic values in the curriculum by applying an effective learning approach. The implementation of education within an institution will affect the number of students interested in studying there. Prediction of the number of prospective new students at SMPIT As-Sakinah Tanjungpinang City is one of the most important things in decision-making. After doing the research, it was found that at SMPIT As-Sakinah, Tanjungpinang City, no prediction was made on the number of prospective new students. From these problems, the author aims to build a website-based system to predict the number of prospective new students by comparing the Single and Double Exponential Smoothing methods, integrated with the database, to determine the most suitable method for prediction. In designing this system we used the Waterfall method and using the PHP programming language and the database using MySQL. After doing research using a comparison between the two methods produces the same results after the predicted values are rounded up. The difference between the two methods lies in the calculation; for the Single Exponential Smoothing method, smoothing is calculated only once and the Double Exponential Smoothing method is smoothed twice.