ANALISIS PREDIKSI POLA PERIZINAN DATA TIME SERIES MENGGUNAKAN METODE SUPPORT VECTOR REGRESSION (SVR) DAN MULTILAYER PERCEPTRON (MLP) (STUDI KASUS DPMPTSP PROVINSI SUMATERA SELATAN)

OKTAVIANTI, IKA and Ermatita, Ermatita and Rini, Dian Palupi (2019) ANALISIS PREDIKSI POLA PERIZINAN DATA TIME SERIES MENGGUNAKAN METODE SUPPORT VECTOR REGRESSION (SVR) DAN MULTILAYER PERCEPTRON (MLP) (STUDI KASUS DPMPTSP PROVINSI SUMATERA SELATAN). Master thesis, Sriwijaya University.

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Abstract

Licensing services is one of the forms of public services that important in supporting increased investment in Indonesia and is currently carried out by the Investment and Licensing Services Department. The problems that occur in general are the length of time to process licenses and one of the contributing factors is the limited number of licensing officers. Licensing data is a time series data which have monthly observation. The Artificial Neural Network (ANN) and Support Vector Machine (SVR) is used as machine learning techniques to predict licensing pattern based on time series data. Of the data used dataset 1 and dataset 2, the sharing of training data and testing data is equal to 70% and 30% with consideration that training data must be more than testing data. The result of the study showed for Dataset 1, the ANN-Multilayer Perceptron have a better performance than Support Vector Regression (SVR) with MSE, MAE and RMSE values is 251.09, 11.45, and 15.84. Then for dataset 2, SVR-Linear has better performance than MLP with values of MSE, MAE and RMSE of 1839.93, 32.80, and 42.89. The dataset used to predict the number of permissions is dataset 2. The study also used the Simple Linear Regression (SLR) method to see the causal relationship between the number of licenses issued and licensing service officers. The result is that the relationship between the number of licenses issued and the number of service officers is less significant because there are other factors that affect the number of licenses.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Pattern Prediction, Time Series Data, Multilayer Perceptron, Support Vector Regression, Simple Linear Regression.
Subjects:	T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General)
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Users 1805 not found.
Date Deposited:	11 Sep 2019 04:45
Last Modified:	11 Sep 2019 04:45
URI:	http://repository.unsri.ac.id/id/eprint/7050

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