bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using VBA for microsoft excel based on 6-questions cognitive theory in teaching fraction
Authors: Wijaya T T , Zulfah Z , Hidayat A , Akbar P , Ariani W , Asyura I 
Published: October 2020

AbstractLearning media is a tool that is used to make the teaching and learning process easier. In this modern era, most of the students complained that mathematics is hard and boring. Other than that, the traditional teaching method makes students less practical and not mastering the concept taught, which is why there is a need of a learning media innovation using Information and Communication Technology (ICT). Learning fraction in primary school can be helped using VBA for Microsoft excel in supporting the fraction subchapter so that it will be more interesting and easier to understand. The purpose of this research is to develop a VBA for Microsoft excel on fraction, which then is evaluated on their validity and practicality as a learning media. The design of this research is using the experimental design with pre-test and post-test to compare the students’ understanding ability on fraction between the class that uses VBA for Microsoft excel and the traditional teaching method. The result of this research shows that the learning media, we can conclude that VBA for Microsoft excel based on the 6-questions cognitive theory can improve the students’ understanding ability significantly.
Development of an online mathematical misconception instrument
Authors: Irawan E , Wilujeng H 
Published: October 2020

AbstractThe misconception is one phenomenon that often occurs in the fields of science, including mathematics. To find a solution, diagnostic needs to be done about misconceptions on the basic concepts of mathematics. The purpose of this study was to develop an online diagnostic misconception test instrument. The research method used is development research using the ADDIE model. There are five stages of research, namely: analyze, design, develop, implement, and evaluate. Proof of validity is done using the Aiken index involving five judgment experts. The validation results show that the instrument has high content validity. Likewise, with the results of the instrument trials, it shows that the instruments developed are valid and reliable. These results indicate that the developed instrument can be used for misconception diagnostic tests of basic mathematical concepts. The instrument can be used to diagnose misconceptions among students, students, teachers and other communities.
The 5th Seminar Nasional Matematika dan Pendidikan Matematika (SENATIK) 2020
Authors: Rahmawati N D , Muhtarom M , Happy N , Wulandari D , Pramasdyahsari A S , Nursyahidah F , Albab I U , Murtianto Y H , Aini A N , Sutrisno S 
Published: October 2020

Preface

The fifth Seminar Nasional Matematika dan Pendidikan Matematika (SENATIK) was held by Mathematics Education Study Program, Universitas PGRI Semarang, Indonesia, in 2020. This seminar has objectives to improve mathematics teaching, to solve the mathematics problem, and to expand mathematics contribution to society.
Freedom learning is a new policy of the Ministry of Education and Culture of the Republic of Indonesia to improve the national education system that seems monotonous. Through freedom learning, it is expected that it can create happiness and a joyful learning atmosphere for both students and teachers. Learning activities will be effective if the learning atmosphere is enjoyable. By having a joyful learning environment and adequate learning facilities, students are expected to be able to construct knowledge and support in generating motivation to learn actively. Also, by giving freedom in carrying out learning through their learning will train and instill a democratic attitude for students and also shape students’ creativity to explore their potential. As technology develops, teachers are expected to use technology for joyful learning. Through the integration of technology in the freedom of learning, it is expected that effective and efficient learning will be created. Therefore, teachers are required to be able to do innovative learning. In view of that, the Mathematics Education Study Program of Universitas PGRI Semarang invites researchers, practitioners, and educators to participate in and contribute to the fifth SENATIK 2020 under the theme “Freedom of Learning: Integration Technology in Mathematics Learning.”
The keynote presentations are provided to show the contribution of mathematics educators in mathematics education towards research and knowledge sharing. We have three keynote speakers, that’s are Prof. Dr. Ratu Ilma Indra Putri, M.Si. (Universitas Sriwijaya, Indonesia). Dr. Irwan Endrayanto Aluiciues, S.Si., M.Sc. (Universitas Gajah Mada, Indonesia), and Dr. Achmad Buchori, M.Pd. (Universitas PGRI Semarang, Indonesia). We also have two speakers in the workshop session that are Dr. Rully Charitas Indra Prahmana (Universitas Ahmad Dahlan, Indonesia) and Dr. Muhtarom (Universitas PGRI Semarang).
On this seminar implementation, from one hundred and thirty-one full paper registers, there are sixty-nine presenters declared to be qualified. Our wish all the participants would enjoy the seminar, so they involve valuable and rewarding, and improve the knowledge and experiences.
Publishing Team
Mathematical representation on fraction operation for seventh-grade students using collaborative learning
Authors: Saskiyah S A , Putri R I I 
Published: October 2020

AbstractThis research determined the students’ mathematical representations ability after learning used the Indonesian version of Realistic Mathematics Education (PMRI) trough Lesson Study for Learning Community (LSLC) on fractional operation. The subjects were seventh-grade students in SMP Negeri 18 Palembang. We used a descriptive method, which explains the stage of the research in detail. The data were collected through observation, written tests, and interviews. We used PMRI for material content and research context, and LSLC for the implementation of the learning process. We obtained that the students’ mathematical representations ability in answering fractional operation problems has reached the indicators. The research showed that students’ mathematical representation abilities have arisen, including solving problems involving mathematical expressions and load the problems situation based on data or representations given. The indicator that rarely appears is to draw geometric figures to clarify the problem and facilitate resolution. Giving real context through PMRI and collaborative learning process was to help students in bringing up mathematical indicators of representation.
Exploring reversible thinking of preservice mathematics teacher students through problem-solving task in algebra
Authors: Maf’ulah S , Juniati D 
Published: October 2020

Abstract
Thinking reversible supports mathematic reasoning and flexibility of thinking. It affects the success of students in solving mathematical problems. Eventually, mathematic problem solving is the core of mathematic learning. Therefore, the teacher must have thinking reversible skills to develop students’ thinking reversible optimally. This study aims to explore the reversible thinking of preservice mathematics teacher students. The design of this research is qualitative and incorporating the test method. The test is in the form of algebra solving problem which contains an algebra equation. Students are assigned to create a new equation, which is equivalent to the equation in the test as many as possible to identify the aspect of students’ forwarding process. Then, students are assigned to reverse the new equation to the initial equation form. This is to identify the aspect of the reversing process. The forwarding process and reserving process is the core of reversible thinking. Therefore, the result of the student task is analyzed based on these characteristics. The result showed that there are four different strategies implemented by the students to create a new equation and reversing the new equation to the previous equation. It is elaborated in detail in the result of this article.
The effects of drugs in chemotherapy as optimal control of tumor growth dynamical model
Authors: Muhith A , Rahmalia D , Herlambang T 
Published: October 2020

Abstract
Cancer is the disease caused by disordered hormone so that it causes the lumps to grow abnormally on body tissue, and it is known as a malignant tumor. Some mortalities in the world are caused by cancer, while in Indonesia, cancer contributes to the third-largest death. This research will explain about stability and optimal control of tumor growth dynamical model by drugs in chemotherapy. In the tumor growth dynamical model, there are normal cells, tumor cells, and immune cells. From the mathematical model of tumor growth, some equilibrium points will be analyzed for their stability using eigenvalue. In this research, from the mathematical model of tumor growth, it will be added control, such as drugs in chemotherapy. The method used for solving optimal control problems and resulting numerical solutions is Forward Backward Sweep Method. Based on simulation results, drugs in chemotherapy give effects in a normal cell, tumor cell, and immune cell.
Ethnomathematics of fish catching exploration in Musi River
Authors: Malalina M , Putri R I I , Zulkardi Z , Hartono Y 
Published: October 2020

Abstract
The activities of the people catching fish at the bottom of the Musi River contain cultural elements which indirectly contain mathematical concepts. So far, fishing activity has only been seen from the economic aspect but not from the cultural concept associated with mathematics. So that the formulation of the problem in this research is to identify the ethnomathematic aspects of fishing activities in the Musi River. The method used in this research is descriptive qualitative. The data obtained were then analyzed by using ethnomathematic aspects according to Alan J. Bishop. Data collection was carried out by field studies, interviews and documentation. Sources of data in this research were 10 peoples who directly catch fish in the Musi River. The results of the research can be concluded that there are ethnomathematic aspects of fishing activity in the Musi River, namely determining the location, measuring, and designing. Thus ethnomathematics in the Musi River can be used in junior high school mathematics learning, namely in the material of cartesian coordinates, sets, social arithmetic, velocity, distance, and geometry.
Tutors’ opinions on students’ difficulties of learning mathematics in the distance higher education: A Delphi survey
Authors: Sugilar S 
Published: October 2020

AbstractLearning in the distance in higher education was challenging since the students were supposed to study in a self-regulated learning mode. The difficulties were double in learning mathematics, especially for the students of the non-mathematics study program. The primary purpose of the research was to identify the students’ problems in learning mathematics at a higher education institution that implementing a distance education system. The method was a Delphi survey to 23 tutors for mathematics courses in the study program of a bachelor’s degree in elementary school teachers for identifying the student difficulties in learning mathematics. The research concluded that the problems of learning mathematics for the students in the distance higher education consisted in five components: 1) the nature of mathematics, 2) learning material, 3) the nature distance learning, 4) learning support services, and 5) motivation. The proposed recommendation was that to facilitate students’ learning mathematics, an institution of distance higher education should overcome the students’ difficulties in learning mathematics by preparing the learning materials and the student learning support services to accommodate the students.
Realistic mathematics education learning model to improve junior high students’ problem-solving ability in social arithmetics
Authors: Rakhmawati I A 
Published: October 2020

Abstract
This study was focused on how to improve junior high students’ problem-solving ability through the Realistic Mathematics Education (RME) learning model. Through problem-solving, students are required to make their own efforts to find solutions and built their own knowledge. One of the mathematical learning models that allow students to build their own knowledge is the RME learning model. RME learning model giving contextual problems that related to students’ real life and they will be motivated to learn and gained by their experience. This study is quantitative research with the experimental method. The data of this study were collected using the test method. Before the instrument is used, the instrument of the test must fulfill as good item criteria to retrieve data on the study include the level of difficulty, discriminating power, and reliability. The data analysis technique used in this study was the t-test with a significance level of 5%. Before testing the hypothesis, the first step is to conduct a prerequisite test i.e. normality and homogeneity test. The results show that the students’ problem-solving abilities in social arithmetics taught using the RME learning model are better than the students’ problem-solving abilities who are taught using conventional learning models.
Mathematics teacher knowledge in higher-order thinking skill: curriculum, pedagogy, and assessment
Authors: Samo D D , Garak S S , Maifa T S 
Published: October 2020

Abstract
This study aims to investigate mathematics teachers’ knowledge of higher-order thinking skills as an evaluation for improvement, enhancement, and development. This research is quantitative research with a survey method involving 132 mathematics teachers in East Nusa Tenggara. They have completed the Professional Teacher Education at the University of Nusa Cendana in 2019. The instruments used are a curriculum knowledge questionnaire, pedagogy, and assessment consisting of 98 statements (36 curriculum knowledge, 28 pedagogical knowledge, and 24 assessment knowledge). The data analysis stage is categorizing the level of mathematics teacher knowledge using Likert’s Summated Rating, then analysis of correlation, regression, and Manova. Mathematics teacher’s knowledge in higher-order thinking skills is at a high level of 34.1% (45 teachers) and a medium level with a value of 65.9% (87 teachers). The correlation value between the teacher’s background and knowledge of higher-order thinking skills is in the low category with a very small coefficient of determination. Teaching level and gender show a significant influence on knowledge of higher-order thinking skills. Gender, age, and level of teaching have a significant effect partially on teacher knowledge; it also affects knowledge of higher-order thinking skills. However, the teaching level aspect did not significantly influence pedagogical knowledge.
The improved model of incentive-pricing of internet schemes for Cobb-Douglas utility function by using LINGO 13.0
Authors: Puspita F M , Yuliza E , Rezky B J , Simarmata A N Y , Hartono Y 
Published: October 2020

Abstract
In this paper, an improved model of the incentive-pricing scheme was designed. Previous research only shows the incentive model with the disadvantages of no considering the utility function to measure the satisfaction of the user. Then, the models are improved by deriving from the incorporation of bundling and reverse charging models obtained from previous studies, as well as taking into account the quality of service to users by using the Cobb-Douglas utility function. Optimal pricing schemes applied to the local data server, which is mail traffic data. The model used is the nonlinear optimization problem and solved by LINGO 13.0 to get the optimal solution. The results show that optimal results in the form of pricing schemes by applying flat fee, usage-based, and two-part tariff for homogeneous consumer’s schemes and the improved models show better performance in achieving the profit than the previous incentive pricing models.
Solving capacitated vehicle routing problem using of Clarke and Wright algorithm and LINGO in LPG distribution
Authors: Yuliza E , Puspita F M , Yahdin S , Emiliya R 
Published: October 2020

Abstract
Capacitated vehicle routing problem is a vehicle routing problem that has constraints in the form of vehicle capacity. It is a matter of optimization to find the optimal route for some vehicles with a specific capacity and homogeneous vehicles that serve some agents with several known requests before the distribution process takes place. LPG distribution is the application of capacitated vehicle routing problems. This research aims to determine the LPG distribution route based on the Clarke and Wright Algorithm and LINGO. The capacitated vehicle routing problem model will be solved in two phases. The first stage completes the capacitated vehicle routing problem model using the Clarke and Wright algorithm. The second stage is completing the results of the first stage in the form of LINGO-based sub tours to obtain the optimal solution. The solution of the capacitated vehicle routing problem in distribution LPG using the Clarke and Wright algorithm has a total distance of 151.94 km. The solution of the capacitated vehicle routing problem in distribution LPG using LINGO has a total distance of 161.59 km.
The robust counterpart open capacitated vehicle routing problem with time windows
Authors: Yuliza E , Puspita F M , Supadi S S , Octarina S 
Published: October 2020

Abstract
The problem of transporting waste vehicle routes is one of the problems faced in big cities. Delay becomes a problem in the process of transporting waste. The route of garbage vehicles motivated this research. Thus, the optimization of vehicle routes is needed to minimize the distance and travel time. We investigated two robust optimization models, which are limited by vehicle capacity and time windows. Robust counterpart open capacitated vehicle routing problems with soft time windows is the first model. This model results in the arrival time of the vehicle on each TDS and FDS that may exceed the working hours. The second model is robust counterpart open capacitated vehicle routing problems with hard time windows. This model results in the arrival time of the vehicle on each TDS and FDS not to exceed the working hours. The two robust optimization models are solved using the exact approach and the heuristic approach. Complete the exact approach using the branch and bound method with LINGO software. Completion of the heuristic approach uses the Nearest Neighbour method. The two models that are solved by the branch and bound method and the Nearest Neighbour algorithm produce the optimal solution, obtained different sub tours.
Exploration of students mathematical connections with negative attitudes in solving a contextual geometry problem
Authors: Pambudi D S 
Published: October 2020

Abstract
A mathematical connection is an essential aspect of the mathematics learning process. Students vary in mathematical connection ability, some are strong connection ability, and others are weak. This research aimed to explore the ability of the mathematical connection of Junior High School students with negative attitudes towards mathematics in solving the contextual problem. Research subjects were two eighth grade students in Jember. Subjects selected by giving attitudes questionnaire and based on the questionnaire scores. There were two subjects chosen with the lowest scores of category in negative attitudes towards mathematics. Data were collected through interviews based on tasking problem solving (TPS). The contextual problem given in the TPS contains the concepts of geometry and social arithmetics. Data were analyzed qualitatively using the categorization, reduction, presentation, interpretation, and conclusion. The results showed that the research subjects made connections using facts, concepts/principles, procedures, and representations. But unfortunately, these mathematical ideas are not sufficient, and some of them are not connected properly, so students fail to solve the problem. From these results, it can be concluded that mathematical connections of junior high school students with negative attitudes towards mathematics include in the weak connections category.
The mathematics anxiety: Do prospective math teachers also experience it?
Authors: Juniati D , Budayasa I K 
Published: October 2020

AbstractMany events illustrate how students who have high mathematical abilities but become unable to solve a mathematical problem due to high mathematics anxiety. So, what about prospective math teachers who work and study mathematics every day, whether they also experience mathematics anxiety? We described the mathematics anxiety of prospective math teachers, examined the effect on mathematics performance, and investigated the differences between mathematics anxiety levels based on gender, year of study, and reasons for choosing a college in mathematics education. The subjects were 148 prospective math teachers. We used the correlation test and alpha Cronbach to test the instrument’s reliability and validity, the regression test to see the effect of mathematics anxiety on mathematics performance, and the t-test and MANOVA to analyze the differences level of mathematics anxiety type for each group. We obtained that the mathematics anxiety level of prospective math teachers was relatively high and had a significant adverse effect on mathematics performance. The mathematics anxiety level of male and female students was the same. The level of mathematics anxiety of first-year, second-year, and third-year students was also the same. The reasons of students chose the study programs did not provide different levels of mathematics anxiety.
Comparison of backpropagation artificial neural network and SARIMA in predicting the number of railway passengers
Authors: Amalia O A , Putri A H M 
Published: October 2020

Abstract
Trains are one of the most popular public transportations in Indonesia. The data from the Indonesian Central Bureau of Statistics show an increasing trend in the number of train passengers in Indonesia. However, the improvement of the railway network and service is needed. This study aims to forecast the number of railway passengers in Indonesia to help the government make appropriate improvements in the railway system for the future and evaluate the potential loss due to COVID-19. We use the data from the Indonesian Central Bureau of Statistics, from January 2006 to February 2020 and assume that there is no pandemic of COVID-19. The two models we use are Backpropagation Artificial Neural Network (BPANN) and Seasonal ARIMA (SARIMA). To find the best model, we observe BPANN with various parameters and the potential SARIMA models in MATLAB and R software, respectively. Our finding is that Backpropagation Artificial Neural Network of 12-5-1 with a learning rate of 0.001 has a smaller root mean squared error (RMSE) compared to SARIMA (2,1,0)(0,1,2)12. Hence, it yields a more accurate forecast of the number of train passengers, which helps the railway company to improve and understand the loss due to COVID-19 accurately.