2017
DOI: 10.14710/medstat.9.2.75-84
|View full text |Cite
|
Sign up to set email alerts
|

Aplikasi Regresi Partial Least Square Untuk Analisis Hubungan Faktor-Faktor Yang Mempengaruhi Indeks Pembangunan Manusia Di Kota Yogyakarta

Abstract: Human Development Index is one of the indicators to measure the success of a region in the field of human development sector. There are several factors that affect Human Development Index, such as life expentancy, the literacy rate, the average length of the school, and the index of purchasing power. The aim in this paper is to analyze the relationship between factors that affect Human Development Index in Yogyakarta using regression analysis. One of the assumptions of classical regression is not going multico… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0
4

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 2 publications
0
5
0
4
Order By: Relevance
“…The data collection method is a questionnaire survey, and the data analysis and hypothesis testing are performed using the Smart PLS Partial Least Squares Regression software. According to Masruroh and Subekti (2016), PLS regression can be obtained using simple or multiple regression by performing a significance test on the predictor variables to be used in building PLS components and determining the number of PLS components formed. The purpose of PLS is to create components that can be used to predict the response variable by capturing information from the predictor variable.…”
Section: Methodsmentioning
confidence: 99%
“…The data collection method is a questionnaire survey, and the data analysis and hypothesis testing are performed using the Smart PLS Partial Least Squares Regression software. According to Masruroh and Subekti (2016), PLS regression can be obtained using simple or multiple regression by performing a significance test on the predictor variables to be used in building PLS components and determining the number of PLS components formed. The purpose of PLS is to create components that can be used to predict the response variable by capturing information from the predictor variable.…”
Section: Methodsmentioning
confidence: 99%
“…The loading factor value is an individual reflective measure with a standard of 0.7 (Ghozali, 2017). However, in this study, a standard measurement of 0.6 is considered sufficient (Masruroh and Subekti, 2017). Based on the research results (Figure 2), the loading factor below 0.6, including those of the FK1 and FT1 indicators, must be removed from the model.…”
Section: Overview Of Respondentsmentioning
confidence: 98%
“…Jika hubungannya tidak linier, regresi OLS bukan merupakan alat yang ideal untuk analisis penelitian dan ini diperlukan suatu modifikasi pada variabel atau analisis tersebut. Regresi OLS ini juga sering digunakan untuk estimasi parameter dari hubungan fungsional yang berbeda [3], [4] dan [5]. Salah satu persamaan regresi yang banyak dipakai pada penelitian di bidang kehutanan untuk penanganan perubahan iklim adalah metode allometrik [6].…”
Section: Pendahuluanunclassified