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INDONESIA
Desimal: Jurnal Matematika
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : 26139073     EISSN : 26139081     DOI : -
Core Subject : Education, Social,
Education Mathematics Social Sciences
Desimal: Jurnal Matematika, particularly focuses on the main issues in the development of the sciences of mathematics education, mathematics education, and applied mathematics. Desimal: Jurnal Matematika published three times a year, the period from January to April, May to Augustus, and September to December. This publication is available online via open access.
Arjuna Subject : -
Articles 310 Documents
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An Analysis of the Effect of Utilitarian Values on Shopee E-Commerce Satisfaction and Loyalty with SEM-PLS Valentika, Nina
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.5939

Abstract

This research examines Shopee consumers who have shopped at least once and are students in the Department of Accounting, Faculty of Economics, Pamulang University. The method used was the Structural Equation Modeling-Partial Least Square (SEM-PLS). The purpose of this research was to examine the direct effect of utilitarian values on satisfaction, examine the direct effect of satisfaction on loyalty, and examine the indirect effect of utilitarian values on loyalty. Based on the results of the research, it can be concluded that there was a significant influence on satisfaction and loyalty, utilitarian values, and satisfaction, as well as utilitarian values and loyalty. There was a significant influence of Utilitarian values and loyalty with satisfaction as an intervening variable.
Structural equation modeling-partial least squares: Analysis of the effect of hedonic value on customer satisfaction and loyalty Nursyirwan, Vivi Iswanti; Valentika, Nina
Desimal: Jurnal Matematika Vol. 4 No. 1 (2021): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v4i1.5948

Abstract

Testing the effect of hedonic value on loyalty, the hedonic value on satisfaction, and customer satisfaction on consumer loyalty, and investigating the effect of hedonic value on consumer loyalty with customer satisfaction as an intervening variable is the purpose of this study, with a case study on e-commerce Shopee.  The sample aims to be a method of determining the sample with a total of 100 respondents. The intended respondents are Pamulang University students, Faculty of Economics, S1 Accounting Department as well as consumers of Shopee e-commerce. The Research model used SEM-PLS Structural Equation Modeling-Partial Least Square Approach. The results of this study indicate that the hedonic value has a positive influence and also has a significant value on consumer loyalty at the real level of 10%. The results of the study also state hedonic value has a significant positive effect on consumer satisfaction, and customer satisfaction has a significant positive effect on consumer loyalty with the satisfaction of consumer as a variable of intervening with 10% level.
Questions Analysis in Mathematics Textbook from Competency-Based Curriculum up to Curriculum 2013 Raditya, Aji; Iskandar, Ratu Sarah Fauziah; Suwarno, Suwarno
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.5973

Abstract

Mathematics textbooks have a significant role in mathematics teaching, and learning activities in schools and the questions contained in textbooks are usually used by students to practice independently. The purpose of this study is to analyze the types of problems in mathematics textbooks used from 2000 to 2017 in Indonesia, especially in the material of one-variable linear equations. The method used in this study is a six-dimensional analysis method, which consists of mathematical activities, the level of difficulty of the questions, the types of answers expected, contextual situations, the types of responses and the types of mathematical questions. Data collection techniques are done by analyzing and describing the types of questions in mathematics textbooks used from 2000 to 2017. The results of this study are the problems in mathematics textbooks for linear variable equations of one variable that do not have diverse types, the types of questions in textbooks are still many in the form of questions that calculate or use a variety of arithmetic operations, apply directly the basic knowledge or skills and without context in everyday life. Also, the existing questions are questions with closed answers, namely questions that only require answers without a reason and questions with a single procedure
Rainfall Model Using Principal Component Regression Analysis with R Software in Sulawesi Yunia, Annisa Alma; Kusuma, Dianne Amor; Suhandi, Bambang; Ruchjana, Budi Nurani
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6108

Abstract

Indonesia is a tropical country that has two seasons, rainy and dry. Nowadays, the earth is experiencing the climate change phenomenon which causes erratic rainfall. The rainfall is influenced by several factors, one of which is the local scale factor. This research was aimed to build a rainfall model in Sulawesi to find out how the rainfall relationship with local scale factor in Sulawesi. In this research, the data used were secondary data which consisted of 15 samples with 6 variables from Badan Pusat Statistik (BPS). The limitation of the sample size in this study was due to the limited secondary data available in the field. The data was processed using Principal Component Regression Analysis. The first step was reducing local scale factor variables so that the principal component variable could be obtained that can explain variability from the original data which then that variable was analyzed using principal regression analysis. The data were analyzed by utilizing R Studio software. The results show that two principal component variables can explain 75.2% of the variability of original data and only one principal component variable that was significant to the rainfall variable. The regression model explained that the relationship between rainfall, humidity, air temperature, air pressure, and solar radiation was in the same direction while the relationship between rainfall and wind velocity was not in the same direction. Overall, the results of the study provided an overview of the application of the Principal Component Regression analysis to model the rainfall phenomenon in the Sulawesi region using the R program.
An Analysis of Mathematical Connection Ability in Cubes and Cuboids Learning Materials Based on Gender Differences Hotipah, Putri; Pujiastuti, Heni
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.6118

Abstract

This study was aimed to describe the students' mathematical connection ability in cube and cuboid learning materials based on gender differences. The research method employed was descriptive-qualitative. This research involved 6 subjects consisted of 3 males and 3 females students. Based on the results and discussion, it can be concluded that the total average score of male students was 54.5% and female students were 63.3%. Based on the categories of ability, male students were in a low category, while female students were in the moderate category. Several factors might cause this to happen, one of which was the low basic mathematical knowledge.
Wilkinson Polynomials: Accuracy Analysis Based on Numerical Methods of the Taylor Series Derivative Mandailina, Vera; Syaharuddin, Syaharuddin; Pramita, Dewi; Ibrahim, Malik; Negara, Habib Ratu Perwira
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.6134

Abstract

Some of the numeric methods for solutions of non-linear equations are taken from a derivative of the Taylor series, one of which is the Newton-Raphson method. However, this is not the only method for solving cases of non-linear equations. The purpose of the study is to compare the accuracy of several derivative methods of the Taylor series of both single order and two-order derivatives, namely Newton-Raphson method, Halley method, Olver method, Euler method, Chebyshev method, and Newton Midpoint Halley method. This research includes qualitative comparison types, where the simulation results of each method are described based on the comparison results. These six methods are simulated with the Wilkinson equation which is a 20-degree polynomial. The accuracy parameters used are the number of iterations, the roots of the equation, the function value f (x), and the error. Results showed that the Newton Midpoint Halley method was the most accurate method. This result is derived from the test starting point value of 0.5 to the equation root x = 1, completed in 3 iterations with a maximum error of 0.0001. The computational design and simulation of this iterative method which is a derivative of the two-order Taylor series is rarely found in college studies as it still rests on the Newton-Raphson method, so the results of this study can be recommended in future learning.
The Numerical Simulation for Asymptotic Normality of the Intensity Obtained as a Product of a Periodic Function with the Power Trend Function of a Nonhomogeneous Poisson Process Maulidi, Ikhsan; Ihsan, Mahyus; Apriliani, Vina
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6374

Abstract

In this article, we provided a numerical simulation for asymptotic normality of a kernel type estimator for the intensity obtained as a product of a periodic function with the power trend function of a nonhomogeneous Poisson Process. The aim of this simulation is to observe how convergence the variance and bias of the estimator. The simulation shows that the larger the value of power function in intensity function, it is required the length of the observation interval to obtain the convergent of the estimator.
The Profile of Students’ Learning Difficulties in Concepts Mastery in Calculus Course Wewe, Melkior
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.6421

Abstract

This research was conducted because of the low students’ learning outcomes in concepts mastery in calculus course. The purpose of this research was to obtain the concepts mastery profile of the second semester students of the Mathematics Education Study Program. The results obtained in this study were used as reference materials for calculus course and to influence the lecturers to find the right approach or learning model in order to improve students’ concept mastery. This study employed the descriptive-quantitative method. The results showed that the students' were having learning difficulties in concepts mastery in calculus course. The learning difficulties were caused by low concepts mastery and low mathematical principles understanding that led the students into wrong process skills. The difficulties experienced by the students such as difficulties in understanding the concepts and principles of the absolute value of the material, limit functions, and derivatives so that their answers were not as expected.
The Application of Non-linear Cubic Regression in Rice Yield Predictions Vulandari, Retno Tri; Wijayanto, Hendro; Lathofy, Afan
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6580

Abstract

The rice yields have fluctuated in Wonogiri Regency. This occasion happened in 2016-2018. Therefore, a prediction is needed to know whether rice yields will increase or decrease in the following year. The purpose of this study was to apply the polynomial non-linear regression method of third-degree in predicting rice yields. This study utilized the Unified Modeling Language (UML) as the system design, black-box testing as the functional testing, and MSE testing as the validity testing. The computed data was data of 2016-2018. The results showed that the prediction of 2017-2019 using the harvested area model produced more accurate calculations. The harvested area model produced the same MSE value in manual and application calculations, which were 405433,1349 in 2017, 312677,7798 in 2018, and 171183.6347 in 2019. The polynomial non-linear cubic regression is a solution to predict rice yields. The output of the application is the prediction information for rice yields
The Effectiveness of Somatic, Auditory, Visualization, and Intellectually and Numbered Head Together Learning Models Against Students' Mathematical Problem Solving Capabilities Purnama, Syahfitri; Siswadi, Siswadi; Pitaloka, Anggun; Maharani, Intan Putri
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.6716

Abstract

This study aims to examine the effectiveness of the Somatic, Auditory, Visualization and Intellectualy (SAVI) and Numbered Head Together (NHT) learning models on students' mathematical problem solving abilities. This research is included in the type of quantitative research. The research sampling technique uses the random sample method. Using the T-Test as a data processing analysis technique with a significance level α = 0,05. Obtained research results indicate that there are very significant differences in students' mathematical problem solving abilities. Students who use the NHT learning model have problem-solving abilities that are superior to students who use the SAVI learning model. This is evident from the mean value of descriptive data that is 80.88 for the NHT learning model and the SAVI learning model obtained a mean value of 68.24, in addition from the T test also concluded that there are significant values for both models.

Page 10 of 31 | Total Record : 310

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