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ARRUS Journal of Mathematics and Applied Science
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767922     EISSN : 28073037     DOI : https://doi.org/10.35877/mathscience.v1i1
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Mathematics Physics
Aim: To drive forward the fields related to Applied Sciences, Mathematics, and Its Education by providing a high-quality evidence base for academicians, researchers, scholars, scientists, managers, policymakers, and students. Scope: The focus is to publish papers that are authentic, original, and plagiarism free and should in interest of society and the world.
Arjuna Subject : Umum - Umum
Articles 75 Documents
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Ordinary Least Square Method in Multiple Regression Analysis to Estimating Coefficients of Factors Affecting Human Development Index Suhendra, Ogi; Tiro, Muhammad Arif; Ruliana
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 1 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience632

Abstract

Analisis Regresi merupakan suatu analisis data yang memperhatikan hubungan antara suatu peubah respon (response variable) dengan satu atau lebih peubah penjelas (explanatory variables). Penelitian ini menggunakan metode Ordinari Least Square (OLS). Metode OLS merupkan metode dasar yang digunakan untuk menyelesaikan suatu masalah data dengan penyelesaian berbentuk model regresi linier. Hasil pemodelan menunjukkan pengaruh variabel Angka Harapan Hidup, Harapan Lama Sekolah, Rata-Rata Lama Sekolah, dan Pengeluaran Perkapita terhadap Indeks Pembangunan Manusia Provinsi Sulawesi Selatan dilihat dari nilai R-Square sebesar 99.63%. menunjukkan bahwa besar persentase variasi Indeks Pembangunan Manusia yang bisa dijelaskan oleh keempat variabel bebas yaitu Angka Harapan Hidup, Harapan Lama Sekolah, Rata-rata Lama Sekolah, dan Pengeluaran Perkapita, sebesar 99.63% sedangkan sisanya sebesar 0.37 dijelaskan oleh variabel-variabel lain diluar penelitian. Artinya semua variabel bebas berpengaruh signifikan terhadap variabel terikat dengan taraf signifikan 5%.
Mathematics Learning Process Students Grade IX in Pandemic COVID-19 Era Syahwal, Apriliani; Suradi; Rusli
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience639

Abstract

This study aims to determine the process of learning mathematics online or e-learning during the Covid-19 pandemic in class XI students at a high school in Soppeng. This research uses descriptive qualitative research with a qualitative approach. The subjects in this study were compulsory mathematics teachers for class XI. Data collection techniques in this study use observation, interviews, and documentation. The results of the research show that the process of learning mathematics is carried out online, which consists of planning mathematics lessons, implementing learning, and evaluating learning carried out by teachers during the online mathematics learning process at the Covid-19 pandemic.
Analysis of Mathematics Communication Skill of Students Grade IX in Quadratic Equation based on their Mathematics Ability Dassa, Awi; Nasrullah; Hasniati
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience640

Abstract

This study aims to know the description of mathematical communication skills in terms of students' mathematics ability in class IX in solving problems on the subject of quadratic equations. The type of research is qualitative research with a descriptive approach. There were 6 research subjects namely two students that have high-ability, two students that has medium-ability, and two students that has low ability. The instruments used in data collection are written tests and interviews. The results showed that subjects with high mathematical abilities were sufficiently able to describe and state problem situations in written or image form properly, were able to use mathematical symbols and terms appropriately and were able to connect algebraic expressions into mathematical ideas. Subjects with moderate mathematical abilities are able to use mathematical symbols and terms appropriately but are less able to describe and state problem situations in written or image form properly and are also less able to connect algebraic expressions to mathematical ideas. Subjects with low mathematical abilities are not able to describe and state problem situations in written or image form properly and correctly, are less able to use mathematical symbols and terms appropriately and have not been able to connect algebraic expressions into mathematical ideas. The results of this study are expected to add insight and improve students' mathematical communication skills, especially in solving math problems related to the application of everyday life.
Description of Students' Critical Thinking Skills in Solving Open Ended Problems Based on Their Learning Style Rosidah; Sabri; Ilmi, Nur
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience641

Abstract

This study aims to know the description of students' critical thinking skills in solving mathematical problems through open-ended questions investigated on the base of learning styles. The study is descriptive research employing a qualitative approach. There were six research subjects, namely, two students with visual learning styles, two students with auditory learning styles, and two students with kinesthetic learning styles. The instruments used were written tests, a questionnaire, and an interview guide. The results showed that the students with a visual learning style were able to fulfil indicators at the stages of providing simple explanations, building basic skills, arranging strategies and tactics, and drawing conclusions. Further, the students with an auditory learning style were less able to fulfil indicators at the stages of providing simple explanations. They were not able to fulfil indicators at the stage of managing strategies and tactics, as well as drawing conclusions; yet, they were able to fulfil indicators at the stage of building basic skills. And, the students with a kinesthetic learning style were less able to fulfil indicators at the stage of providing simple explanations; moreover, they were not yet able to fulfil indicators at the stages of building basic skills, managing strategies and tactics, as well as drawing conclusions.
Effectiveness of Jigsaw Type II Cooperative Learning Model in Improving Self-Efficacy, Activities, and Learning Outcomes of STKIP Pembangunan Indonesia Makassar Students Sari, Nur Indah; Ahmad, Fandi
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 1 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience714

Abstract

The main purpose of this study was to determine whether the Jigsaw II Cooperative learning model was effective in increasing the self-efficacy of Indonesian Development STKIP students, in the Learning Assessment course. This research is a quasi-experimental research. The population in this study were all students of Biology Education Study Program Semester IV (four) academic year 2020/2021 Even Semester STKIP Indonesian Development Makassar. The samples used are two classes that have the same initial ability, namely classes IVA and IVC. The reason for choosing the IVA class as the control class and the IVC class as the experiment. The data collection technique in this study used a pretest-posttest control group design model. Data analysis was carried out using description analysis, N-Gain test, prerequisite test and hypothesis testing with the help of SPSS 17. Based on the test results, it was found that the application of the Jigsaw Cooperative Learning Model Type II was quite effective in increasing self-efficacy with the percentage of Ngain 61%, student learning activities of 90% which means very effective and learning outcomes obtained by the percentage of Ngain 56% which means quite effective.
Development of R Package for Regression Analysis with User Friendly Interface Amir, Arfan Shalihin; Tiro, Muhammad Arif; Ruliana
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 1 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience728

Abstract

The use of pirated software in Indonesia is quite high compared to other countries in the world. One of the efforts made to reduce the level of software piracy is to develop publicly licensed software such as R software which is open source software. The preparation of this package uses the R software and other additional packages, especially packages for regression analysis. Making this package can make it easier for users to perform regression analysis easily and legally. This package is named SLR App (Simple Linear Regression App) and MLR App (Multiple Linear Regression) which are regression analysis packages that have a user friendly interface. From the tests carried out that this package has similarities from the results of the analysis between the SLR App and MLR App.
Analysis of Rice Production Forecast in Maros District Using the Box-Jenkins Method with the ARIMA Model Nurman, Sulaeman; Nusrang, Muhammad; Sudarmin
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 1 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience731

Abstract

The Box-Jenkins method is a statistical method used for forecasting time series data. This method uses data in the past as the dependent variable. The data used in this study is data on the amount of rice production in Maros Regency which was taken from 2001 to 2018 which was taken from the Central Statistics Agency of Maros Regency and the Department of Food Security, Food Crops, and Horticulture of South Sulawesi Province. The results obtained show that the ARIMA(0,2,1) model is a suitable model to predict the amount of rice production in Maros Regency. Forecasting results show that the amount of rice production in Maros Regency has increased every year with an average increase of 3807.1 tons.
K-Means Cluster Analysis for Grouping Districts in South Sulawesi Province Based on Village Potential Azrahwati; Nusrang, Muhammad; Aidid, Muhammad Kasim; Rais, Zulkifli
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience739

Abstract

Cluster analysis is an analysis in multivariable statistics that is used to group objects that have the same characteristics. One of the methods in cluster analysis used to group relatively large amounts of data is the K-Means method. In this study, the K-Means method was applied to classify sub-districts in South Sulawesi Province based on village potential. The variables used are the number of: Elementary School/Equivalent degree, Junior High School/Equivalent degree, Senior High School/Vocational School/Equivalent degree, Community Health Center/Pustu, Families without electricity, Villages/Urbans according to market presence, Villages/Towns that are passed by public transportation and Villages/Kelurahan that have lighting main road. The results of this study are that 3 groups are formed where the first cluster consists of 107 sub-districts that have high village potential, the second cluster consists of 16 sub-districts that have medium village potential and the third cluster consists of 184 sub-districts that have low village potential.
Spatial Regression Analysis to See Factors Affecting Food Security at District Level in South Sulawesi Province Safitri, Irma Yani; Tiro, Muhammad Arif; Ruliana
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience740

Abstract

Spatial regression is a development of classical linear regression which is based on the influence of place or location. To determine the location/spatial effect, a spatial dependency test was performed using the Moran Index, and the Lagrange Multiplier (LM) test was used to determine a significant spatial regression model. In this study, spatial regression was applied to the case of food security in each district in South Sulawesi Province. The results of the analysis show that there is a negative spatial autocorrelation, meaning that the spatial effect does not affect the level of food security. The significant spatial regression model is the SEM (Spatial Error Model) model. The equation of the SEM model produces variables that have a significant effect, namely the ratio of normative consumption per capita to net availability, percentage of population living below the poverty line, percentage of households with a proportion of expenditure on food more than 65 percent of total expenditure, percentage of households without access to electricity, percentage of households without access to clean water, life expectancy at birth, ratio of population per health worker to the level of population density, the average length of schooling for women above 15 years, and the percentage of children under five with height below standard (stunting). Thus, the resulting distribution pattern is a uniform data pattern. This means that each adjacent district tends to have different characteristics.
Comparison of k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM) Methods for Classification of Poverty Data in Papua Fauziah; Tiro, Muhammad Arif; Ruliana
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience741

Abstract

Classification is a job of assessing data objects to include them in a particular class from a number of available classes. The classification method used is the k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM) methods. The data used in this study is data on poverty in Papua with the category of the number of low/high level poor people. Of the 29 regencies/cities that were sampled, 15 regencies/cities represent the number of low-level poor people and 14 districts/cities are the number of high-level poor people. The results of the analysis obtained are the k-Nearest Neighbor (k-NN) method with a value of k=15 producing an accuracy of 58.62%, while the Support Vector Machine (SVM) method with Parameter cost = 1 using the RBF kernel produces an accuracy value. by 93.1%. The classification criteria to find the best method is to look at the Root Mean Square Error (RMSE) which states that the Support Vector Machine (SVM) method is better than the k-Nearest Neighbor (k-NN) method.

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