All Proceedings published

Hospital Malnutrition Modelling of Children Suffering Acute Respiratory Infections Using Multivariate Adaptive Regression Spline Approach

Ardi Kurniawan, Nur Chamidah, Intan Pratiwi Utami ICAS 2016

Abstract - Abstract. Hospital malnutrition is a condition of nutritional insufficiency or nutritional imbalances of patients treated in the hospital. A patient suffers hospital malnutrition when patient’s weight reduces more than or equal to 2% after undertaking treatment in the hospital at least two days. A child who is in pain conditions will be susceptible to malnutrition. There are two possible situations when a child is admitted to the hospital, i.e., malnutrition or unmalnutrition. In general, the incidence of malnutrition hospital is high eno.. [ Read More ]

Desirability Function with Principal Component Analysis for Multi-response Optimization

Sri Winarni, Budhi Handoko, Yeny Krista Franty ICAS 2016

Abstract - Abstract. Multi-response optimization is the process of getting the combination treatment that produces optimum responses. In the industry manufacture it is needed to get the best quality product by considering some characteristics of products simultaneously. This research used optimization method desirability function combined with principal component analysis. This method is used when there is correlation among quality characteristics product. The approach used is to convert some of the responses into one objective variable is then used t.. [ Read More ]

Measuring The Citizen Satisfaction of Bandung Using Benefit Performance Index and Principal Component Regression

Yuyun Hidayat,Titi Purwandari, Irlandia Ginanjar ICAS 2016

Abstract - Abstract. Purpose of this study is to provide information on the quality aspects of the development of Bandung. This was achieved by constructing a satisfaction index as an indicator of managerial navigation. The increase in the total index requires identification of the specific problem in the area of development. The Correspondence Analysis has been classified the development area into 4 areas so that the necessary treatment is different for each area of development.Pilot survey of 540 people using CIT approach produces 1398 incident ( ci.. [ Read More ]

Classification Model On Household Clothing Expenses In The City Of Ambon Using Multivariate Adaptive Regression Splines (MARS) Methods

Sobar Dwi Prabowo, Lienda Noviyanti, and Titi Purwandari ICAS 2016

Abstract - Abstract. Traditional market as one of the shopping facility has a special place in our society. Nowadays, the people have a change of lifestyle: In the past they only had a traditional market, but now they also have a modern market. This improvement changes the way people shopping. The purpose of this study is to identify a relationship between how people choose traditional or modern market to buy their household clothing and the variable that affect those decision using classification method. A good classification method should give the l.. [ Read More ]

Vector Autoregressive Generalized Space Time Autoregressive (VAR-GSTAR) Model with 2-Means Clustering on Rainfall of Central Java

Dewi Retno Sari Saputro, M. Dhamar Widhoro Jati, Purnami Widyaningsih ICAS 2016

Abstract - Abstract. Monthly interregional rainfall within 29 sub districts/districts of Central Java has big variance. Because of big variance, it needs clustering. The clustering method is the 2-means clustering. Clustered data is better than unclustered data. Rainfall data have spatial and temporal effects. Therefore, VAR-GSTAR model could be applied to monthly rainfall data. VAR-GSTAR model needs a spatial weight to measure correlation within interregional rainfall. The spatial weight is normalization of cross correlation. VARGSTAR model has two .. [ Read More ]