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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 12 Documents
 1   2 
Search results for , issue "Vol. 1 No. 2 (2021)" : 12 Documents clear
The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic Sang, Thai Thanh; Minh Thu, Nguyen; Hoang Khoi, Truong; Thi Kim Huong, Nguyen; Lan, Le Thi Ngoc; Van Thanh, Nguyen
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/mathscience567

Abstract

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.
The development of digital teaching materials using Macromedia flash for Junior High School class VII Fanzeka, Daniel; Rusli, R.; Hastuty, H.; Nasrullah, N.
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/mathscience617

Abstract

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%.
Empirical Evaluation for Intelligent Predictive Models in Prediction of Potential Cancer Problematic Cases In Nigeria Ojugo, Arnold Adimabua; Obruche, Chris Obaro; Eboka, Andrew Okonji
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/mathscience614

Abstract

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.
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.
The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic Sang, Thai Thanh; Minh Thu, Nguyen; Hoang Khoi, Truong; Thi Kim Huong, Nguyen; Lan, Le Thi Ngoc; Van Thanh, Nguyen
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience567

Abstract

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.
Empirical Evaluation for Intelligent Predictive Models in Prediction of Potential Cancer Problematic Cases In Nigeria Ojugo, Arnold Adimabua; Obruche, Chris Obaro; Eboka, Andrew Okonji
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience614

Abstract

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.
The development of digital teaching materials using Macromedia flash for Junior High School class VII Fanzeka, Daniel; Rusli, R.; Hastuty, H.; Nasrullah, N.
ARRUS Journal of Mathematics and Applied Science Vol. 1 No. 2 (2021)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience617

Abstract

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%.
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 : PT ARRUS Intelektual 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.

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