scholarly journals POTRET KESEHATAN MASYARAKAT DI KOTA PADANG DENGAN METODE WAJAH CHERNOFF

2019 ◽  
Vol 16 (1) ◽  
pp. 102-109
Author(s):  
A Oktavia ◽  
I Rina ◽  
V Agusta
Keyword(s):  
Public Health ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Health Indicators ◽  
Component Analysis ◽  
Health Protection ◽  
Facial Features ◽  
Multiple Variable ◽  
Public Health Protection ◽  
The City

Chernoff Face Method is a method used to represent multiple variable data in the form of a cartoon face with 20 specific facial features. In this study, we will show how the use of the Chernoff face method to see a portrait of public health in the city of Padang. Health indicators will be paired with specific facial features of Chernoff's face using Principal Component Analysis (PCA). The results of this study are expected to provide an overview of public health protection for each sub-district in Padang City and Padang City as a whole. Keywords : Chernoff Face Method, Health Indicators, Principal Component Ananlysis.

scholarly journals POTRET KESEJAHTERAAN RAKYAT DI PROVINSI BALI MENGGUNAKAN METODE CHERNOFF FACES

2013 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
I WAYAN WIDHI DIRGANTARA ◽  
KOMANG GDE SUKARSA ◽  
KOMANG DHARMAWAN
Keyword(s):  
Principal Component Analysis ◽  
Graphical Method ◽  
Principal Component ◽  
Component Analysis ◽  
Facial Features ◽  
The People ◽  
Visualization Techniques

Chernoff Faces method is a graphical method of visualization techniques to present data with many variables in the form of a cartoon face which can be determined by 20 parameters or less. In this research it was shown how the Chernoff Faces method was used to see welfare of the people in the province of Bali and Bali's nine regencies. To pair the variables and Chernoff’s facial features, then we used  Principal Component Analysis and survey to make the faces look more human. The result from 18 indicators of welfare of the people in the province of Bali, only 8 indicators were not really well. It was obtained too that Tabanan was the most prosperous regency and Karangasem was the lest prosperous regency.

scholarly journals Assessment of Passenger Satisfaction with Public Bus Transport Services: A Case Study of Lucknow City (India)

2016 ◽  
Vol 11 (3) ◽  
pp. 107-128 ◽  
Author(s):  
Sanjay Singh
Keyword(s):  
Principal Component Analysis ◽  
Service Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Quality Attributes ◽  
Transport Services ◽  
Passenger Satisfaction ◽  
Bus Stops ◽  
The City ◽  
Bus Transport

AbstractThe main aim of this study is threefold. First, it tries to assess the passenger satisfaction with public bus transport services in the city of Lucknow in India. Second, it tries to examine the service quality attributes that influence the passenger satisfaction. Third, it tries to evaluate the relative importance of service quality attributes to find out the priority for service quality improvements to enhance passenger satisfaction. The study is based on a survey of objective as well as subjective questions conducted between May and July 2014. Five major bus stops of Lucknow were selected for the survey. Total 148 respondents were randomly selected to elicit their overall satisfaction and factors that influence their satisfaction in the use of public bus transport services in Lucknow using a self-rated questionnaire. The collected sample of responses is subjected to principal component analysis, a statistical technique for dimensionality reduction of the dataset, and descriptive analysis. The result of theses analyses shows that passengers are mostly dissatisfied with public bus transport services in Lucknow. Using principal component analysis, five underlying factors were extracted that influenced passenger satisfaction with public bus transport services in the city. Out of these five factors, comfort and safety has the greatest impact on overall satisfaction, followed by the adequacy of capacity of public bus transport services, orderly and clean environment inside buses, elegant design of buses and bus stops, and accessibility to public bus transport services in the city. The study thus provides a direction for public bus transport administration in the city to understand the gaps that exist and try to fill them to improve its services so that passenger satisfaction can be enhanced and consequently more people can be attracted towards public bus transport.

scholarly journals Analysis of the success factors for MSME succession in Surabaya: A principal component analysis

2018 ◽  
Vol 21 (2) ◽  
Author(s):  
Candraningrat . ◽  
Oktaviani . ◽  
Sri - Suhandiah
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Family Business ◽  
Success Factors ◽  
Principal Component ◽  
Component Analysis ◽  
Family Businesses ◽  
Next Generation ◽  
Analysis Technique ◽  
The City

This study aims to find success factors for succession in family-based MSMEs in MSMEs in Surabaya, Indonesia, where Surabaya is a metropolitan city that allows entrepreneurs to develop and be sustainable for the next generation of family businesses. The research method used is factor analysis which is an analysis technique that forms the latent variables that have not been determined before the analysis, the results of anilisation will find any factors that influence the success of succession in MSMEs. Sample in this study amounted to 100 MSMEs of family businesses that could be met in Surabaya or incidental sampling, while respondents in this study were second generation family business owners. The method of data collection is a survey with a questionnaire instrument that has been tested for validity and reliability. The data analysis technique used is the Principal Component Analysis Factor Analysis with SPSS software. The results of this study found that six factors that determine the success of succession in MSMEs in the city of Surabaya are succession preparation procedures, successor characteristics, readiness of previous generations, communication in the succession process, relationships between family members, and introduction to the business environment. This research is expected to provide references on the sustainability of family business to the next generation in the city of Surabaya, East Java, Indonesia.

Use of the Principal Component Analysis (PCA) to Reduce Data Complexity in Qualitative Research: An Electro-Electronics Case Study

2014 ◽  
Vol 988 ◽  
pp. 526-529
Author(s):  
Fernanda Perreira Lopes ◽  
Adriana de Paula Lacerda Santos ◽  
Nicolle Christine Sotsek
Keyword(s):  
Qualitative Research ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Complex Variables ◽  
Metropolitan Region ◽  
Economic Sustainability ◽  
Production Area ◽  
The City

The objective of this paper was to show that the Principal Component Analysis (PCA) quantitative technique is capable of grouping complex variables in correlation groups from qualitative research. Thus, the study proposes a set of indicators for evaluating the production area in electro-electronic transformation industries in the city of Curitiba and Metropolitan Region, under aspects of environmental, social and economic sustainability. By employing the technique, it was observed that the questions were well formulated and truly measured what was proposed by the researchers. However, the way the variables were grouped needs adjustments to facilitate application of the questionnaire and the tabulation and analysis of data.

scholarly journals A Characterisation and Profiling of District Health Indicators in Zimbabwe: An Application of Principal Component Analysis in a Data Limited Setting

10.36469/9833 ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 162-179
Author(s):  
Shepherd Shamu ◽  
Simbarashe Rusakaniko ◽  
Charles Hongoro
Keyword(s):  
Principal Component Analysis ◽  
Secondary Data ◽  
Principal Component ◽  
Health Indicators ◽  
Component Analysis ◽  
Health Seeking ◽  
District Health ◽  
Levels Of Care ◽  
Composite Indices ◽  
Equitable Allocation

Background: The Ministry of Health and Child Care, Zimbabwe does not have a method for prioritization and equitable allocation of its share of the national health budget and other resources in the sector. Regional allocations at the provincial level are made regardless of the provinces’ disease burden, population size, or needs. Currently there is no method available to show how the provinces eventually allocate these resources to the lower levels of care. In a data limited country such as Zimbabwe, Principal Component Analysis method can be used to identify a set of indicators that account for cross variation between different regions. This set of indicators could then be used by planners as reference indicators for equitable allocation of resources and prioritization of health care interventions. Objective: The aim of the study was to construct a set of simple, feasible, reliable and valid composite health indicators for use in characterising and profiling of the different districts in Zimbabwe. Method: This was a retrospective analysis of secondary data to derive composite indices for the 57 administrative health districts in Zimbabwe using routinely collected secondary data. The data was extracted from the 2012 Zimbabwe Health information database, the 2012 National Census and the 2011 Prices, Income and Expenditure Survey. Results: The analysis of the data resulted in the construction of 10 mutually exclusive principal composite indices, which included demographic, child related, disease related and health systems related indices. The 10 composite indices (population, immunisation, child mortality, antenatal care, HIV/TB, malaria, non-communicable diseases, socioeconomic, health seeking behaviour and infrastructure) were tested for construct and content validity and were found to be statistically robust, reliable and consistent with observed behaviour. Conclusion: The composite indices exhibited internal consistency and construct validity to be regarded as true representations of the cross variation of the 57 districts in Zimbabwe; hence these indices could be used to characterise the behaviour and assess the performance of these districts. There is also potential use for these indices in the areas of resource allocation and prioritisation of health interventions.

Sign in / Sign up

Export Citation Format

Share Document