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All Journal Jurnal Matematika Sains dan Teknologi MES: Journal of Mathematics Education and Science
Rahmawati Pane
Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Mathematics Other

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ESTIMASI PARAMETER DAN UJI HIPOTESIS PADA MODEL LINEAR MULTIVARIAT DENGAN METODE LDL Makkulau Makkulau; Susanti Linuwih; Purhadi Purhadi; Muhammad Mashuri; Rahmawati Pane
Jurnal Matematika Sains dan Teknologi Vol. 11 No. 1 (2010)
Publisher : LPPM Universitas Terbuka

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Abstract

Outliers are observations (data) that lies in an abnormal distance from other observations. Outliers can be distinguished into outliers of univariate or multivariate observation and outliers of univariate or multivariate linear models. Multivariate linear model is a linear model with more than one dependent (response) variables. This research studied parameter estimation and hypothesis test for multivariate linear model using Likelihood Displacement Statistic-Lagrange Method called as LDL method for detecting outlier observations in multivariate linear models with the LDLAm statistical test.
METODE STRUCTURAL EQUATION MODELLING (SEM) UNTUK MENENTUKAN KELAYAKAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) KECAMATAN MEDAN BARAT Darma Wogisfry; Rahmawati Pane; Elly Rosmaini; Aghni Syahmarani
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.10257

Abstract

Structural Equation Modeling (SEM) is a statistical analysis method used to test the relationship between variables in a model. SEM can be used as a statistical technique that takes into account latent and manifest variables, so in this study the SEM method was used to determine the eligibility of PKH recipients in West Medan District. Poverty has become a serious problem that is increasingly being faced by several countries in the world, including Indonesia. The Indonesian government has implemented many programs to overcome poverty, one of which is the Family Hope Program (PKH). Based on the research results, it is known that there is a direct negative relationship (indicating that an increase in one variable tends to decrease another variable), namely the family economic variable on the eligibility of recipients of the Family Hope Program
Co-Authors Aghni Syahmarani Darma Wogisfry Elly Rosmaini Makkulau Makkulau muhammad mashuri Purhadi Purhadi Susanti Linuwih