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Kadek Ary Budi Permana
Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University.
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor Dewa Ayu Putri Wulandari; Kadek Ary Budi Permana; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Dengue fever is found more in tropics andsubtropics area. The World Health Organization (WHO) notedthat Indonesia is as the highest dengue fever cases in South Asiansince 1968 till 2009. The treatment of patient dengue fever inhospital had spent rest time or the days in hospital in variationtreatment. Days in hospital often becomes questions from thepatients’ family. To predict of days in hospital is maybe to knowthe capacity for the long period strategies. In this research, weused machine learning approach to predict the period of denguefever patients. One of the machines of learning method is KNearest Neighbor (K-NN). In this case, we analyze the result ofimplementation K-NN method that used to predict period of daysin hospital patients for dengue fever. This paper used the result oflaboratory checking of blood complete with patients as parameterin predict the period of days in hospital dengue fever. The resultof examination used K-NN to show the accuracy levels reach65,67% with k optimal is k=13.
Online Analytical Processing (OLAP) for Disaster Report Kadek Ary Budi Permana; Dewa Ayu Putri Wulandari; Putu Arya Mertasana
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Data analysis of disaster is very important forsupporting in making decision to cope with the next disaster orprepare if the disaster will happen again. Online AnalyticalProcessing (OLAP) becomes solution to get analysis by usingcertain analysis that supplied in OLAP. To supply the dataanalysis in which done by OLAP so the data as the representativein multidimensional model that manages the data in cube form.Warehouse data can be called as the place from source data thatused to make easier in analysis information process in it becauseconcept of data dimensional offered. The planning data warehouseis basically by source data that gotten and decided by thedescription of needs from the users. OLAP in this disaster reportsuccess in implementation with helping data warehouse and implysnowflake schema to dimensional data first.
Co-Authors Dewa Ayu Putri Wulandari Made Sudarma Putu Arya Mertasana