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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika)
WULANDARI, FRILIANDA
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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CLASSIFICATION OF STUNTING IN CHILDREN UNDER FIVE YEARS IN PADANG CITY USING SUPPORT VECTOR MACHINE Rahmi, Izzati; Susanti, Mega; Yozza, Hazmira; Wulandari, Frilianda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.912 KB) | DOI: 10.30598/barekengvol16iss3pp771-778

Abstract

Stunting is a nutritional problem in children characterized by the child’s height that is less than twice the standard deviation of the median standard from children growth that has been determined by the WHO. Stunting is influenced by many factors. If the conditional of these factors are known, it can be expected earlier whether a child is stunted or not. In this study, the prediction of stunting was carried out using the Support Vector Machine (SVM) classification method. SVM is a method to find the best hyperplane that can be used to separate two or more classes. In this study, the parameter of the SVM model that must be determined is the cost value and gamma. Based on the result of research using parameters cost=10 and gamma=5, the estimation result of the classification with 100% accuracy can be obtained.
THE BAYESIAN SEM APPROACH ON RELIGIOUS TOURISM AND SME'S ENTREPRENEURIAL OPPORTUNITY INTERRELATION IN RURAL AREA Wulandari, Frilianda; Devianto, Dodi; Yanuar, Ferra
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7605.664 KB) | DOI: 10.30598/barekengvol16iss3pp815-828

Abstract

Economics, social and culture are interrelated fields in developing a country. The social and cultural conditions that grow in an area affect how the economy develops in that area and its surrounding. This study analyzed a causal relationship from 60 nascent entrepreneurs at rural area of religious tourism with Bayesian SEM to handle a small amount of data. Based on the results of the analysis, it was found that entrepreneurial motivation and cultural motivation had a significant effect on rural religious tourism. The latent variable of rural religious tourism and entrepreneurial motivation have a significant effect on SME's entrepreneurial opportunity. The entrepreneurial motivation variable has a correlation with the cultural motivation variable.This characteristics has established the Minangkabau heritage of rural area described on its strong religious tourism aspect into SME's entrepreneurial challenge of nascent entrepreneurs.
Analysis of Students' Satisfaction Level on iLearn Quality during COVID-19 Pandemic with WebQual 4.0 and PLS-SEM HG, Izzati Rahmi; Wulandari, Frilianda; Devianto, Dodi
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 2 (2022): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i2.7440

Abstract

Andalas University implements a Learning Management System (LMS) named iLearn as an online learning facility to carry out the learning process during the COVID-19 pandemic. This research analyzes the influence of iLearn quality on students' satisfaction levels. iLearn quality is measured by WebQual 4.0 instrument, which consists of three variables, i.e. Usability, Information Quality, and Service Interaction Quality. To analyze the relationship between the WebQual 4.0 variables and students' satisfaction, we used Partial Least Squares - Structural Equation Modeling (PLS-SEM) method. The research sample is 100 students of the Mathematics Department of Andalas University who were enrolled in iLearn. Based on data analysis, the structural equation model for the students' satisfaction level is obtained. From the model, the variables that significantly affect the Student Satisfaction Level are Usability and Service Interaction Quality, with a P-value of 0.001. In contrast, the Information Quality has a low significance in influencing students' satisfaction levels in iLearn quality with a P-value of 0.420. Improvements on iLearn quality can be made by reviewing these measured indicators. 
Co-Authors Devianto, Dodi Hazmira Yozza Izzati Rahmi HG Mega Susanti Yanuar, Ferra