Rahmawati Pane
Universitas Sumatera Utara

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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
Analisis Regresi Logistik Ordinal pada Pengaruh Pelayanan Terhadap Kepuasan Pasien Rawat Inap di Rumah Sakit Murni Teguh Medan Monalisa Simangungsong; Rahmawati Pane; Asima Manurung; Enita Dewi br. Tarigan
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4240

Abstract

Abstract. Hospitals play an important role in supporting public healt by providing high quality services, especially in providing optimal services for inpatients. Patient satisfaction is the main indicators to assess the quality of services in the hospital. This research aims to determine the effect of services on the level of satisfaction of inpatients at Murni Teguh Hospital using the ordinal logistic regression method. The results showed 44% of respondents were satisfied and 29% of respondents were very satisfied. Variables that have a significant effect on patient satisfaction are food service, medical facilities and medicines, and administrative services. The Negelkerke’s coefficient of determination of 0.825 indicates that 82.5% of the predictor variables affect the overall assessment of impatient satisfaction. The results of the model interpretation show that the highest chance of patients to feel very satisfied is in the medical facilities and medicines variable with an odds ratio of 2.959.