Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

2.255

P-Index

This Author published in this journals

All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang JIPMat (Jurnal Ilmiah Pendidikan Matematika) JITEK (Jurnal Ilmiah Teknosains) AKSIOMA Unisda Journal of Mathematics and Computer Science (UJMC) ALGORITMA : Journal of Mathematics Education Jurnal Riset Pembelajaran Matematika DWIJALOKA Jurnal Pendidikan Dasar dan Menengah Enthusiastic : International Journal of Applied Statistics and Data Science JNPM (Jurnal Nasional Pendidikan Matematika) Jurnal Kualita Pendidikan

Dewi Wulandari

Universitas PGRI Semarang

Author-ID : 2710504

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Veterinary Other

Published : 15 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

PENERAPAN REGRESI COX UNTUK MENGANALISIS VARIABEL YANG BERPENGARUH TERHADAP DURASI STUDI MAHASISWA Wulandari, Dewi; Widyastuti, Rhoudhotul; Prasetyowati, Dina
Jurnal Gaussian Vol 13, No 1 (2024): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.13.1.88-98

One aspect that concerns stakeholders in a university is the study duration of students because this is one of the determinants of the quality of a university. In the Mathematics Education study program, at Universitas PGRI Semarang, there has never been any research on the length of study of students. So we conducted this study to determine the factors that significantly influence students' study duration. We applied Cox regression to data on students of the Mathematics Education study program at Universitas PGRI Semarang from entering 2017 until graduating in various years from 2021 to 2023 with predictor variables of Cumulative Achievement Index, gender, parental educational background, and student’s participation in the organizations. These data were collected using a questionnaire and data triangulation was confirmed through interviews. Meanwhile, the students’ study duration data is the secondary data that has been documented in the information system of Universitas PGRI Semarang. Analysis using Cox Regression is very suitable for the case study in this study because the dependent variable in this study is survival data. In addition, Cox Regression is known as a method that is relatively easy, simple and does not require survival data to have a certain distribution. From the analysis results, it was found that the Cumulative Achievement Index is the factor that has the most significant influence on the length of student study.

Solving Fuzzy Transportation Problem Using ASM Method and Zero Suffix Method Aini, Aurora Nur; Shodiqin, Ali; Wulandari, Dewi
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 1 Issue 1, April 2021
Publisher : Universitas Islam Indonesia

The transportation problem is a special case for linear programming. Sometimes, the amount of demand and supply in transportation problems can change from time to time, and thus it is justified to classify the transportation problem as a fuzzy problem. This article seeks to solve the Fuzzy transportation problem by converting the fuzzy number into crisp number by ranking the fuzzy number. There are many applicable methods to solve linear transportation problems. This article discusses the method to solve transportation problems without requiring an initial feasible solution using the ASM method and the Zero Suffix method. The best solution for Fuzzy transportation problems with triangular sets using the ASM method was IDR 21,356,787.50, while the optimal solution using the Zero Suffix method was IDR 21,501,225.00. Received February 5, 2021Revised April 16, 2021Accepted April 22, 2021

Mardia’s Skewness and Kurtosis for Assessing Normality Assumption in Multivariate Regression Wulandari, Dewi; Sutrisno, Sutrisno; Nirwana, Muhammad Bayu
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 1 Issue 1, April 2021
Publisher : Universitas Islam Indonesia

In Multivariate regression, we need to assess normality assumption simultaneously, not univariately. Univariate normal distribution does not guarantee the occurrence of multivariate normal distribution [1]. So we need to extend the assessment of univariate normal distribution into multivariate methods. One extended method is skewness and kurtosis as proposed by Mardia [2]. In this paper, we introduce the method, present the procedure of this method, and show how to examine normality assumption in multivariate regression study case using this method and expose the use of statistics software to help us in numerical calculation. Received February 20, 2021Revised March 8, 2021Accepted March 10, 2021

Comparison of Simple and Segmented Linear Regression Models on the Effect of Sea Depth toward the Sea Temperature Nirwana, Muhammad Bayu; Wulandari, Dewi
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 1 Issue 2, October 2021
Publisher : Universitas Islam Indonesia

The linear regression model is employed when it is identified a linear relationship between the dependent and independent variables. In some cases, the relationship between the two variables does not generate a linear line, that is, there is a change point at a certain point. Therefore, themaximum likelihood estimator for the linear regression does not produce an accurate model. The objective of this study is to presents the performance of simple linear and segmented linear regression models in which there are breakpoints in the data. The modeling is performed onthe data of depth and sea temperature. The model results display that the segmented linear regression is better in modeling data which contain changing points than the classical one.Received September 1, 2021Revised November 2, 2021Accepted November 11, 2021

THE APPLICATION OF THE PATH ANALYSIS MODEL IN DETERMINING THE EFFECT OF IQ AND LANGUAGE SKILLS ON MATHEMATICS LEARNING OUTCOME Dewi Wulandari; Dewi Setyawati; Dhian Endahwuri
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 13, No 1 (2025): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.13.1.2025.35-44

Mathematics learning outcome is inseparable from many factors that influence it. Intelligence Quotient (IQ) and language skills are several factors that are thought to influence learning outcomes in mathematics. This study aims to determine the path analysis model of the mathematics learning outcome with IQ and language skill as the factors. The population of this research was all the students of Kesatrian I Junior High School, Semarang (SMP Kesatrian I Semarang), and by using a random sampling technique, we took 221 students as the sample. The result shows a significant influence of IQ and language skills on mathematics learning outcomes.

Co-Authors Agnita Siska Pramasdyahsari, Agnita Siska Ali Shodiqin Ali Shodiqin Arief Rakhman Affandi Aurora Nur Aini Aurora Nur Aini Cahniyo Wijaya Kuswanto Claudia Vironica Ayu Viranda Danisa Putri Indriyani Dewi Setyawati Dhian Endahwuri Dina Prasetyowati Dona Dinda Pratiwi Dwi Anjar Sari Dwi Hardiyanto Dwi Yulia Ningsih Ervina Eka Subekti Iffah Muflihati, Iffah Indhi Asokawati Kholidatul Muna M. Yusuf Setia Wardana Miftakhul Mubarokah Muhammad Bayu Nirwana Nizaruddin Nizaruddin Novian Riskiana Dewi Noviana Dini Rahmawati Panji Maulana Majid Selvita Erviandita Sudargo Sutrisno Sutrisno Widyastuti, Rhoudhotul Yanuar Hery Murtianto

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search