Thai Thanh Sang, Nguyễn Thị Minh Thu, Truong Hoang Khoi, N. Hương, L. Lan, N. Thanh
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.
{"title":"The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic","authors":"Thai Thanh Sang, Nguyễn Thị Minh Thu, Truong Hoang Khoi, N. Hương, L. Lan, N. Thanh","doi":"10.35877/mathscience567","DOIUrl":"https://doi.org/10.35877/mathscience567","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134215463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Description on cognitive level of mid and final test for 7th grade in Makassar","authors":"N. Asmi, Ruslan, F. Arwadi","doi":"10.35877/mathscience556","DOIUrl":"https://doi.org/10.35877/mathscience556","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Description on 10th grade–science Students’ Problem solving skill based on Wankat and Oreovics Theory viewed from Mathematical logical intelligence","authors":"Nurul Masynaeni, Djadir, Rusli","doi":"10.35877/mathscience557","DOIUrl":"https://doi.org/10.35877/mathscience557","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128103151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Description of students Mathematical anxiety based on the students’ mathematics ability","authors":"Rismayana, M. Dinar, I. Minggi","doi":"10.35877/mathscience555","DOIUrl":"https://doi.org/10.35877/mathscience555","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Students’ mahematical reasoning ability in solving TIMSS cognitive domain on Algebraic based on students’ thinking style","authors":"Fauziah, I. Minggi, Ahmad Talib","doi":"10.35877/mathscience553","DOIUrl":"https://doi.org/10.35877/mathscience553","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129978962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Effectiveness of Cooperative Learning with Advisor Group Strategy in 7th Grade Mathematics Classroom","authors":"Asrina, Nurdin Arsyad, F. Arwadi","doi":"10.35877/mathscience554","DOIUrl":"https://doi.org/10.35877/mathscience554","url":null,"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.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126548652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：