scholarly journals Development of smart application for house condition survey

Author(s):  
Afaq Hyder Chohan ◽  
Jihad Awad ◽  
Chuloh Jung ◽  
Adi Irfan Che Ani
Keyword(s):  
Populasi ◽  
2016 ◽  
Vol 22 (1) ◽  
pp. 76-86
Author(s):  
Sumini Sumini ◽  
Jevri Ardiansyah

This research aims to study the enviromental condition, healthy life behaviour of mothers and health status of children in Indonesia. This research uses secondary data analysis from Indonesia Demographic and Health Survey 2007. Three main indicators in here are the house condition which sourced from household quesionnaire, healthy life behaviour of mothers and health status of children which sourced from ever married women’s questionnaire. Data was processes and analyzed with desriptive statistic, inference and binary regression. One of the result is that some houses were in good condition although some still did not have latrine facility. Mothers also had performed a healthy life behaviour, such as washing hands before preparing food and did not smoke.Tujuan penelitian ini adalah mengkaji kondisi lingkungan tempat tinggal, perilaku hidup sehat ibu, dan status kesehatan balita di Indonesia. Penelitian ini menggunakan analisis data sekunder dari Survei Demografi dan Kesehatan Indonesia 2007. Tiga indikator utama yang digunakan adalah kondisi tempat tinggal yang diambil dari daftar pertanyaan rumah tangga, perilaku hidup sehat ibu dan status kesehatan balita yang diambil dari daftar pertanyaan perempuan pernah kawin. Data diolah dan dianalisis dengan statistik deskriptif, inferensi, dan regresi binari. Salah satu hasil penelitian ini adalah kondisi tempat tinggal cukup baik walaupun ada yang belum memiliki jamban. Ibu pun terbiasa berperilaku sehat, seperti terbiasa mencuci tangan sebelum mengelola makanan dan tidak merokok.


2015 ◽  
Vol 18 (3) ◽  
pp. 129-134 ◽  
Author(s):  
Kamil Sabier Sae ◽  
Sarkawt Abdulla Ah ◽  
Ismael Ahmaed Has ◽  
Pshtiwan Hamed Ahme

2018 ◽  
Vol 7 (4.30) ◽  
pp. 498 ◽  
Author(s):  
Seng Jia Xin ◽  
Kamil Khalid

House price prediction is important for the government, finance company, real estate sector and also the house owner.  The data of the house price at Ames, Iowa in United State which from the year 2006 to 2010 is used for multivariate analysis. However, multicollinearity is commonly occurred in the multivariate analysis and gives a serious effect to the model. Therefore, in this study investigates the performance of the Ridge regression model and Lasso regression model as both regressions can deal with multicollinearity. Ridge regression model and Lasso regression model are constructed and compared. The root mean square error (RMSE) and adjusted R-squared are used to evaluate the performance of the models. This comparative study found that the Lasso regression model is performing better compared to the Ridge regression model. Based on this analysis, the selected variables includes the aspect of  house size, age of house, condition of house and also the location of the house.


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