Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling

نویسندگان

چکیده

Education is an important factor that can affect the development of a country and basic human need. To ensure continuous progress education, it necessary to pay attention results achievements education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) used explain relationship between outcomes quality dimensions provincial However, because there heterogeneity population unit, Response Based Unit Segmentation (REBUS PLS) algorithm overcome alleged heterogeneity. The showed were 20 influential indicators structural with paths being student activities participation, educational facilities infrastructure achievements, participation achievements. REBUS PLS successfully detects produces two segments, value R2 on local model greater than global GoF large category.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Partial least squares methods: partial least squares correlation and partial least square regression.

Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table. When the goal is to find the shared information between two tables, the ap...

متن کامل

Partial Least Square Regression PLS-Regression

PLS regression is a recent technique that generalizes and combines features from principal component analysis and multiple regression. Its goal is to predict or analyze a set of dependent variables from a set of independent variables or predictors. This prediction is achieved by extracting from the predictors a set of orthogonal factors called latent variables which have the best predictive pow...

متن کامل

Partial Least Square-based Model Predictive Control for Large-scale Manufacturing Process with Disturbances Partial Least Square-based Model Predictive Control for Large-scale Manufacturing Process with Disturbances

The Model Predictive Control (MPC) method has been widely accepted as a useful tool for keeping the quality on target in the manufacturing process. However, the conventional MPC methods are inadequate for the large-scale manufacturing process particularly in the presence of disturbances. The goal of the paper is to suggest a Partial Least Square (PLS)based MPC methodology for accommodating the ...

متن کامل

Toward Optimal Churn Management: A Partial Least Square (PLS) Model

In a very competitive mobile telecommunication industry business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this...

متن کامل

Fast Least Square Matching

Least square matching (LSM) is one of the most accurate image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Euler: Jurnal Ilmiah Matematika, Sains dan Teknologi

سال: 2023

ISSN: ['2776-3706', '2087-9393']

DOI: https://doi.org/10.34312/euler.v11i1.20105