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Djunaidy Santoso
Teknik Informatika Institut Bisnis dan Informatika Kwik Kian Gie
Computer Science & IT Economics, Econometrics & Finance

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CAR SALES PREDICTION ANALYSIS WITH COMPUTER BASED THETA METHOD Djunaidy Santoso
Jurnal Informatika dan Bisnis Vol. 4 No. 2 (2015): Edisi Desember 2015
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

The economic development in Indonesia is growing rapidly, competition is increasing. One of the things that are important in supporting the success of a company is to be able to meet the demands of various consumers. Activities that enable us to predict what will happen in the future are known as forecasting.Forecasting Theta methods, by Assimakopoulos Theta and Nikolopoulos. Initially, forecasting only use 2 theta weights parameters, then another theta parameter is added. Currently the Theta method use theta weight parameter. This research is to perform sales forecasting on car sales using Theta Method with five different weights using a system specially designed to perform the calculation. The error is minimized by minimizing the Mean Squared Error (MSE).  As a result, using Theta weight 3 produces the smallest error. Keywords: Theta method, forecasting, timeseries, Mean Squared Error
ANALYSIS OF FORECASTING THE NUMBER OF STUDENTS USING VECTOR AUTOREGRESSION COMPUTER BASED Djunaidy Santoso
Jurnal Informatika dan Bisnis Vol. 5 No. 2 (2016): Edisi Desember 2016
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

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Abstract

Education has become an important factor in a person's life. Therefore, many people who race - the race to get the best education. The course, has become one of the places entrusted by parents in providing additional lessons to their children. Forecasts for the large number of students can be used as a benchmark in determining the success or failure of an educational institution. In addition, can also be used as an assessment of the services rendered, as more and more students are obtained, meaning the greater the trust that is given to perusahaan.Pengumpulan data is done by the secondary, which uses data drawn from the data in the previous period. The data used is the actual data obtained from Valto Education Centre.Data that has been collected will then be processed using Microsoft Excel 2003. The method used was Vector Autoregression[1]. Data processing will generate value for the first forecast future periods. Keywords: Vector Autoregression, Time Series, autocorrelation, Forecasting
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