ARRUS Journal of Mathematics and Applied Science
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.
Articles
50 Documents
<![CDATA[Production Scheduling Mathematical Model in Garment Industry ]]>
<![CDATA[Van Thanh, Nguyen]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Students’ mathematical reasoning ability in solving TIMSS cognitive domain on Algebraic based on students’ thinking style ]]>
<![CDATA[Fauziah]]>;
<![CDATA[Minggi, Ilham]]>;
<![CDATA[Talib, Ahmad]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Effectiveness of Cooperative Learning with Advisor Group Strategy in 7th Grade Mathematics Classroom ]]>
<![CDATA[Asrina]]>;
<![CDATA[Arsyad, Nurdin]]>;
<![CDATA[Arwadi, Fajar]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Description of students Mathematical anxiety based on the students’ mathematics ability ]]>
<![CDATA[Rismayana]]>;
<![CDATA[Dinar, Muh.]]>;
<![CDATA[Minggi, Ilham]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Description on cognitive level of mid and final test for 7th grade in Makassar ]]>
<![CDATA[Asmi, Nurul]]>;
<![CDATA[Ruslan]]>;
<![CDATA[Arwadi, Fajar]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Description on 10th grade–science Students’ Problem solving skill based on Wankat and Oreovics Theory viewed from Mathematical logical intelligence ]]>
<![CDATA[Masynaeni, Nurul]]>;
<![CDATA[Djadir]]>;
<![CDATA[Rusli]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 1 (2021) ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic ]]>
<![CDATA[Sang, Thai Thanh]]>;
<![CDATA[Minh Thu, Nguyen]]>;
<![CDATA[Hoang Khoi, Truong]]>;
<![CDATA[Thi Kim Huong, Nguyen]]>;
<![CDATA[Lan, Le Thi Ngoc]]>;
<![CDATA[Van Thanh, Nguyen]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/mathscience567
<![CDATA[The Covid-19 pandemic has had a significant impact on every industry globally, especially the transportation industry being severely disrupted. With people's travel demand at an all-time low, maintaining the country's transportation infrastructure is crucial to ensure the movement of essential goods. However, the Vietnamese government’s decision to apply social distancing measures to limit and prevent the spread of the disease has generated extreme challenges in the freight transport industry, which have harmed the Vietnamese economy by restricting levels of business activity, causing the movement and distribution of essential commodities to be halted. Based on the practical needs of transportation enterprises, this study proposes a low-cost freight allocation strategy using mix-integer linear programming approaches to ensure an efficient operation for businesses in order to resume normal operations in the context of the Covid-19 epidemic's complex development. The research focuses on developing a mathematical model with an objective function that minimizes total cost and associated constraints. The findings of the study point to the development of a solution that solves businesses problems in determining the optimal transportation plan and assist in making decisions on allocating goods to suitable locations, ensuring the quantity of serving the needs of each district in Ho Chi Minh City, minimizing transportation time while still saving costs. Furthermore, the article aids a decision-making process for other transportation industries.]]>
<![CDATA[The development of digital teaching materials using Macromedia flash for Junior High School class VII ]]>
<![CDATA[Fanzeka, Daniel]]>;
<![CDATA[Rusli, R.]]>;
<![CDATA[Hastuty, H.]]>;
<![CDATA[Nasrullah, N.]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/mathscience617
<![CDATA[This research aims to develop and produce digital teaching materials products using Macromedia flash application that are valid, practical and effective. This research method refers to a 4D development, and disseminate. Research instruments in the form of validation sheets by material expert and media expert to measure validity; questionnaires of learners; responses to measure practicality; and test of learning outcomes to measure effectiveness. The trial of teaching materials was conducted to class VII learners at SMPN 6 Makassar. The result showed that digital teaching materials developed using Macromedia flash applications in class VII junior high school comparison materials had valid criteria with validity score of 3.70 for the material and 3.50 for media, practically score of 3.60 for small groups and 3.51 for large groups, and effective with an effectiveness score of 90% for small groups and 86%.]]>
<![CDATA[Associate Issues in Delayed Care Seeking Behavior in Households Suffering from Malaria ]]>
<![CDATA[Ogali, Ugo]]>;
<![CDATA[Otu, Judith E.]]>;
<![CDATA[Enang, Ebingha E.]]>;
<![CDATA[Angioha, Pius U.]]>;
<![CDATA[Akande, Depoe]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 2 No. 1 (2022) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/mathscience498
<![CDATA[this study examines the associated issues in delayed care-seeking behaviour from malaria in households in rural Central Cross River states. Specifically, this study examines the extent to which belief in traditional medicine and household income relates to delayed care-seeking behaviour in household members suffering from malaria. The descriptive survey method was utilized to collect data from 1,229 participants from Central Cross River State, Nigeria. 1,224 The participants were selected using the multistage sampling technique. Data was collected using a self-developed structured questionnaire and in-depth interview guide. Elicited data was analyzed using descriptor and parametric statistics. Data collected from the in-depth interview conducted on five participants in the study area were thematically analyzed. Out of the 1224 quantitative instrument distributed, 1065 was judged to valid to the researchers. The analysis revealed that belief in traditional medicine and household income were significant determinants of delay in care-seeking behaviour among grow household members suffering from malaria. The study calls for policy change towards malaria care for rural households in Central Cross River states.]]>
<![CDATA[Empirical Evaluation for Intelligent Predictive Models in Prediction of Potential Cancer Problematic Cases In Nigeria ]]>
<![CDATA[Ojugo, Arnold Adimabua]]>;
<![CDATA[Obruche, Chris Obaro]]>;
<![CDATA[Eboka, Andrew Okonji]]>
<![CDATA[ ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35877/mathscience614
<![CDATA[The rapid rate as well as the volume in amount of data churned out on daily basis has necessitated the need for data mining process. Advanced by the field of data science with machine learning approaches as new paradigm and platform, it has become imperative to provide beneficial support in constructing models that can effectively assist domain experts/practitioners – to make comprehensive decisions regarding potential cases. The study uses deep learning prognosis to effectively respond to problematic cases of cancer in Nigeria. We use the fuzzy rule-based memetic model to predict potential problematic cases of cancer – predicting results from data samples collected from the Epidemiology laboratory at Federal Medical Center Asaba, Nigeria. Dataset is split into training (85%) and testing (15%) to aid model validation. Results indicate that age, obesity, environmental conditions and family relations (to the first and second degree) are critical factors to be watched for benign and malignant cancer types. Constructed model result shows high predictive capability strength compared to other models presented on similar studies.]]>
