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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 76 Documents
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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 : PT ARRUS Intelektual 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 : PT ARRUS Intelektual 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.
Improved Exponential Approach Method in Determining Optimum Solutions for Transportation Problems Rusli, Rusli; Sukarna, Sukarna; Wahyudin, Wahyudin
ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 2 (2022)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience744

Abstract

This study describes the transportation methods that regulate and distribute resources that provide products where they are needed to achieve efficient transportation costs. Solve a transportation problem in this thesis using the Improved Exponential Approach method, then using the NWC (Northwest) method to test its optimization. The purpose of this research is to get more optimal results as initial consideration to increase the distribution cost savings in the Bread Company. Costs incurred by the company before the study amounted to Rp.3,218,000. The results of this study found that the application of the transportation method using the Improved Exponential Approach method is effectively used compared to the NWC method which has a comparison of transportation costs of Rp. 2,612,500 and Rp. 2,785,000, Optimization test results obtained from the Improved Exponential Approach method amounted to Rp2,612,500. And the Improved Exponential Approach method used by researchers can be applied to the Gardenia company.
Production Scheduling Mathematical Model in Garment Industry Nguyen Van Thanh
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience491

Abstract

In this paper, the author introduces about building the support system of production schedule, based on the linear programming model, exploiting effectively Branch and Bound (BnB) algorithms in Lingo software. In addition, the result of the study is the software that supports production schedule based on the C# programming language, friendly interface makes the operator easy to use. After the implementation and final test, the research model is applied to the case of the garment company to support the production schedule, reduces the number of orders delayed, shorten the production time to increase profits for the company.
Students’ mathematical reasoning ability in solving TIMSS cognitive domain on Algebraic based on students’ thinking style Fauziah; Ilham Minggi; Ahmad Talib
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience553

Abstract

This study aims to describe the students' mathematical reasoning abilities in solving TIMSS cognitive domain reasoning problems in algebraic content in terms of the student’s thinking style of the students. The type of research is a qualitative research study with a descriptive approach. The subjects of this research consisted of one student who representing each of the concrete sequential thinking styles. The instrument of this research used consisted of thinking style questionnaires, mathematical reasoning ability test questions, and interview guidelines. The results of this study indicate that: SK thinking style subjects are able to meet four indicators of mathematical reasoning ability, namely: a) the ability to make guesses, b) the ability to draw conclusions, arrange evidence, provide reasons or evidence for the truth of the solution, c) the ability to draw the validity of an argumen, and d) the ability to find patterns or the nature of mathematical symptoms to make generalizations.
Effectiveness of Cooperative Learning with Advisor Group Strategy in 7th Grade Mathematics Classroom Asrina; Nurdin Arsyad; Fajar Arwadi
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience554

Abstract

This study aims to determine the Effectiveness of the Cooperative Learning Model with Group Advisory Strategy in Mathematics Learning of the Grade VII SMP. This research is pre-experiment with techniques sampling is cluster random sampling. Data collection was carried out using observation sheets of implementation of learning, test results of learning (pretest and posttest), observation sheets of student activities, and student questionnaire responses. The data analysis technique used is descriptive and inferential statistical analysis. The results of descriptive statistical analysis showed: (1) The average score of learning outcomes after learning reaches 80.04 with standard deviation of 8.79, (2) the posttest results show that classical completeness is achieved 91% (3) The average percentage of student activity is 89% (4) the average percentage of students who gave positive response 89%. The results of inferential statistical analysis showed : (1) The average value of students taught using cooperative learning models with the Advisor Group Strategy is greater than completeness, which is 70, and (2) The proportion of classical completeness of learning outcomes after the application of the cooperative learning model with Group Advisors Strategy achieve classical completeness. From the results of this research it can be concluded that cooperative learning models with the Group Advisory Strategy are effectively used in students of grade VII.
Description of students Mathematical anxiety based on the students’ mathematics ability Rismayana; Muh. Dinar; Ilham Minggi
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience555

Abstract

This study aims to see how the descriptions of anxiety student data are viewed from the level of students' mathematical abilities and is there a relationship between students 'math anxiety and the level of students' math abilities. This type of research uses quantitative methods to determine whether there is a relationship between students 'math anxiety and the level of students' mathematical abilities and qualitative methods to describe the characteristics of mathematics learning anxiety in terms of students' mathematical abilities. The subjects of this study were 3 students, namely one student with low math ability, one student with moderate math ability, and one student with high math ability. The research instrument consisted of a math ability test, an anxiety questionnaire and an interview guide. The level of math ability is categorized using standard deviation. The results showed that: In general, there is no relationship between students 'math anxiety level and students' math abilities in class XI IPA 2, however, some special cases show that there are children who have math anxiety in each category of math ability level (1) Students with low math abilities always experience symptoms of math anxiety because of low self-confidence, poor mastery of mathematical concepts, negative attitudes towards mathematics and passive (2) Students with moderate math abilities often experience math anxiety due to a high fear of mistakes, lack of mastery of mathematical concepts, perception of mathematics is difficult, and passive (3) Students with mathematical abilities rarely experience mathematics because the anxiety they experience is something that everyone naturally feels.
Description on cognitive level of mid and final test for 7th grade in Makassar Nurul Asmi; Ruslan; Fajar Arwadi
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience556

Abstract

This research is a descriptive research with qualitative approach. The purpose of this research is to describe the cognitive level of UTS and UAS made by teacher Mathematics class VII. The subject is midterm exam and final exam class VII created by the mathematics teacher according to curriculum 2013. This Data analyze based on three levels of cognitive, namely (1) Level 1 knowing in the form of cognitive processes, remembering and understanding, (2) Level 2 applying in the form of cognitive processes, cognitive processes applying, and (3) Level 3 reasoning cognitive processes analyzing, evaluating and creating. Generally cognitive levels distributed in a comprehensive way so that educational evaluations measure educational attainment. The data also obtained using classification paper of level cognitive, interview guidelines and expert validator. The results showed that subjects are dominated by the level of knowing with a percentage of 50% by 10 items in the cognitive processes of understanding. While the level of application with a percentage of 45% is 9 items in the cognitive process of applying and the level of reasoning with a percentage of 5% is 1 item of the cognitive process analyzing.
Description on 10th grade–science Students’ Problem solving skill based on Wankat and Oreovics Theory viewed from Mathematical logical intelligence Nurul Masynaeni; Djadir; Rusli
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (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/mathscience557

Abstract

This research aims to describe the ability of problem-solving based on the theory of Wankat and Oreovicz reviewed from mathematical logical intelligence in a system of linear equations in three variables. This research is a qualitative research with a descriptive method. The subjects in this research were students of class X IPA who represent each category of mathematical logical intelligence that is high, medium, and low. The research instruments consist of the mathematical logical intelligence test, the problem-solving ability test, and the interview guidelines. The results of research show that: (1) the student with high mathematical logical intelligence was able to solved the problem well. (2) the student with medium mathematical logical intelligence was able to do problem solving altough they did exprience misconseption in the calculating process; (3) the student with low mathematical logical intelligence was able to carry out same step of problem solving that is exploration step.
Ordinary Least Square Method in Multiple Regression Analysis to Estimating Coefficients of Factors Affecting Human Development Index Ogi Suhendra; Muhammad Arif Tiro; 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%.

Page 4 of 8 | Total Record : 76

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