PENERAPAN FUZZY TIME SERIES DENGAN FAKTOR PENDUKUNG DALAM MERAMALKAN JUMLAH PASIEN DEMAM BERDARAH DENGUE (DBD)

NABILA, HONESTY and Resti, Yulia and Dewi, Novi Rustiana (2018) PENERAPAN FUZZY TIME SERIES DENGAN FAKTOR PENDUKUNG DALAM MERAMALKAN JUMLAH PASIEN DEMAM BERDARAH DENGUE (DBD). Undergraduate thesis, Sriwijaya University.

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Abstract

Dengue Haemorrhagic Fever (DHF) is a disease that often cause Extraordinary Events with a large risk of death, so it requires early vigilance in dealing with it. One of the vigilance to find out the progress rate of the case is by forecasting. The purpose of this study is to predict the number of dengue patients using Fuzzy Time Series (FTS) method based on factors influence. Factors studied are external factors in the form of environmental factors including minimum temperature, maximum temperature, average temperature, average humidity, rainfall and solar irradiance. The fuzification process used the average value-based interval method. From the calculation, the accuracy level using Mean Absolute Percentage Error (MAPE), Mean Square Error (MSE) and Root Mean Square Error (RMSE) are 14,3922% , 22,1244 and 4,7036 respectively, which means forecasting using FTS method based factors influence are good.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Dengue Hemorrhagic Fever, Fuzzy Time Series, Interval based on average values
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software Q Science > QA Mathematics > QA801-939 Analytic mechanics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mrs Dies Meirita Sari
Date Deposited:	31 Jul 2019 05:17
Last Modified:	31 Jul 2019 05:17
URI:	http://repository.unsri.ac.id/id/eprint/1476

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