bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantile regression modeling to predict extreme precipitation
Authors: Mondiana Y Q , Zairina A , Sari R K 
Published: June 2021

AbstractQuantile regression is an extension of the median regression that analyzes various quantile values. This method is used to predict the relationship between the response variable (Y) and the predictor variable (X) on the conditional quantile function. Quantile regression can be used to detect extreme conditions, either extreme dry (quantile 5) or extreme wet (quantile 95). Extreme precipitation often occurs in Indonesian territory because the area is surrounded by oceans. High frequency of extreme precipitation may trigger disasters, one of which is flooding. In 2017, there were floods in Sidoarjo area with a loss of up to 2 billion. In an effort to anticipate the adverse effects of extreme precipitation, forecast information abaut extreme precipitation is needed, one of which is using quantile regression. The objectives of this research was to determine the best quantile regression model for predict extreme precitipation. The data of this study were secondary data obtained from BMKG with a data length of 30 years. Modeling of extreme precipitation in Sidoarjo area involved variables of humidity, temperature and air pressure for model 1. Whereas model 2 involved 3 variables in model 1 plus the month and month square variables. The addition of the month variable and the month quadratic variable in model 2 was based on the precipitation data plot which formed a quadratic trend. Based on the Pseudo R2value, it can be concluded that the best model to predict extreme precipitation in Sidoarjo is Model 2.
Integral mean value theorem for discontinuous function
Authors: Ovan  , Saputra A , Tasni N 
Published: June 2021

Abstract
This study examines the modification of the integral mean value theorem for discontinuous functions. Modification is studied by proving that a function that is not continuous at a certain and bounded interval can be integrated (finite integral) both in Rieman’s integral and Newton’s integral (integral as antiderivative). The discontinuity of the intended function, namely; f is defined on [a,b] but the value of a function and its limit are not equal at some points or infinite points and countable on (a,b), f is undefined on [a,b] at some points or infinite points and countable on (a,b) but its limit exists there. The results of this study provide a modification of the integral mean value theorem by replacing the value of f in the implication of the theorem with its limit value so that the integral mean value theorem is obtained for the non-continuous function.
Theoretical properties of the sample generalized codifference function of stable moving average process
Authors: Kharisudin I , Rosadi D 
Published: June 2021

Abstract
The generalized codifference function as a dependence measure for stationary processes with infinite variance has been proposed as a generalization of the autocorrelation function. In this paper we investigate the theoretical properties of estimator of generalized codifference function of stable moving average process. Some theoretical properties of the sample codifference function of moving average process for small order are discussed.
Prediction of forest fire using ensemble method
Authors: Rosadi D , Andriyani W. 
Published: June 2021

Abstract
In this paper we consider the application of ensemble classification method, which is called as the Adaptive Boosting (AdaBoost) method, to predict the occurrences of forest fire. To illustrate the method, we consider the application of the method using the same public data set, which has been used in the previous studies, but the ensemble approach is not considered in these studies yet. We also compare the performance of the ensemble method with several other classical classification methods, such as the Decision tree and SVM method. All computation are done using open source software R. We find that in the empirical study, the hybrid algorithms between the fuzzy c-means clustering and the ensemble approach will outperform the other classification methods considered in the study.
Reservoir water availability potential assessment using SARIMA modeling of monthly local rainfall data
Authors: Kartono K. , Purwanto P. , Suripin S. 
Published: June 2021

Abstract
The uncertainty of water availability in rainfed reservoirs is one of the impacts of climate change which has become a serious environmental problem in reservoir management. The accuracy of local rainfall prediction is required in planning a sustainable reservoir management strategy. This study aims to construct a monthly local rainfall forecasting model to assess the potential water availability in the reservoir. The SARIMA (Seasonal Autoregressive Integrated Moving Average) forecasting techniques are used in this study to predict local rainfall based on daily rainfall data for the 2007-2019 period at monitoring stations in Gembong Reservoir, Pati, Indonesia. The results showed that the SARIMA model is a good forecasting model according to the MASE (Mean Absolute Scaled Error) criteria. Forecasting using the SARIMA model shows an increase in the accumulated average local rainfall, so there is a potential for water abundance in the reservoir. Reducing sedimentation in reservoirs and maintenance of sustainable reservoir infrastructure is one of the mitigation strategies that need to be prioritized to increase the carrying capacity of the reservoir.
Mathematical model SI-SIRT of avian influenza epidemic with treatment on human
Authors: Kharis M , Prasetyo T A , Waluya S B 
Published: June 2021

Abstract
Avian influenza is a terrible respiratory infectious disease caused by the avian influenza virus. The great concern of the world’s health experts is the possibility of spreading avian influenza and becoming an uncontrollable pandemic. The study’s purpose was to derive, analyze, and interpret the mathematical model’s simulation of the avian influenza epidemic with treatment on humans. This paper constructed a mathematical model formed by SI-SIRT (Susceptible poultry, Infectious poultry, Susceptible human, Infected human, Treated human, Recovered human). We obtained a reproduction number (R0) from Analyzing the model. R0 is a formula to determine whether the disease will disappear or spread over in the future. The free disease equilibrium point was local asymptotically stable if R0 < 1, and the endemic equilibrium point was local asymptotically stable if R0 > 1.
On the Poincar’e-Lindstedt perturbation method for a Non-Linear Rayleigh Oscillator with periodic damping coefficient
Authors: Waluya S B , Rosyida I. , Kharis M 
Published: June 2021

Abstract
In this paper the Poincar’e-Lindstedt perturbation method will be applied to analyse an oscillator with Rayleigh type with Periodic Damping Coefficient. The mathematical model of the oscillator describes flow-induced vibrations in a uniform wind field. The horizontal cylinder supported by springs as a model can be designed vibrate in vertical direction. It will be studied a solution approximation of the oscillator by using Poincar’e-Lindstedt perturbation method. The basic idea of the Poincar’e-Lindstedt perturbation is that from the simple harmonic oscillator, the period of oscillation depends on the amplitude of the motion. The Lindstedt perturbation expansion allows the frequency to adapt to the nonlinearity by defining the “stretched time variable” The periodic solution of Limit cycle will be studied in this paper.
The acceptability of concrete mathematics manipulative by children
Authors: Hidayah I , Masrukan  , Isnarto  , Asikin M , Margunani  
Published: June 2021

Abstract
Concrete Mathematics manipulative (APM) are developed to assist children in learning Mathematical concepts and facilitate children’s Mathematics activities to support children’s higher-order thinking skill (HOTS) development. As a stage in development research, one of the study’s objectives was to find out concrete APM product’s acceptability by children. Acceptability was measured by the TAM approach. The research subjects were Primary School-Junior High School children who were allowed to use these products in schools, learning groups, and playgroups, totaling 170 children. The variables studied were perceived ease to use, perceived usefulness, attitude toward using, and behavioral intention. The statistical analysis applied was Covarian Based Structural Equation Modelling (CB-SEM) with a hybrid model (a CFA and model structural) and used Maximum Likelihood estimation. The CFA first-order model’s estimation and evaluation results showed that the research model had fulfilled good fit criteria, and a reliable variable is PEU. Meanwhile, Estimation and Structural Model Evaluation showed that the most significant influence was on PU and PEU’s relationship towards ATU. The conclusion was that the usefulness and ease of use perceived by children affected the attitudes, which further mediated using, which was quite high (87%).
Conceptual understanding and productive disposition in trigonometry through generative learning
Authors: Dewi I L K , Zaenuri  , Dwijanto  , Mulyono  , Waluya S B , Rochmad  
Published: June 2021

Abstract
This article aims to analyse how conceptual understanding and productive dispositions in trigonometry through generative learning, using a qualitative research design. Participants of this study were 20 students of the level 1 Mathematics Education Study Program of the University of Swadaya Gunung Jati, who took the Intermediate Selecta Capita course and received trigonometry material. The data analysed through 3 stages, namely data reduction, data display, and conclusion drawing. This study indicates that the student’s conceptual understanding can represent the information obtained from the problems given; it is just that when performing algebraic operations still encounter obstacles. Students’ constraints in performing algebraic operations on trigonometry can be due to a lack of understanding of the concepts in algebraic operation material. Confidence in studying and providing answers to student problems shows that students’ productive disposition is still not optimal.
Analysis of mathematical didactic situation constructed by prospective teachers based on learning trajectory
Authors: Prabowo A , Suryadi D , Dasari D 
Published: June 2021

Abstract
The key to the success of a prospective teacher in conducting teaching practices is the didactic situation that is built. If the first step is successful, then the learning process will go well. This study aims was to analyse the mathematical didactic situation built by prospective teacher based on its learning trajectories. This research was a descriptive qualitative study, with the subject of the study being 3 prospective teacher students who have been practicing teaching in class in PPL activities or taking data for their final project. Data was generated from learning documents, Teacher’s books, and interviews with subjects. The results of the study indicate that there were criteria’s for the resulting didactical mathematics situations, as well as the presence of obstacles in lectures. It was recommended to conduct research to build meaning and build new designs that encourage prospective teacher students to build constructive mathematical didactic situations.
Development of pool garden learning media on the topic of the derivative of polynomial functions for class XI students
Authors: Astutik D , Qohar A 
Published: June 2021

Abstract
One of the factors that determine the success of learning is the existence of appropriate learning media. The topic of the derivation of polynomial functions is one of the topics in mathematics that is considered difficult by students. So that on this topic, the creativity of teachers is needed in making learning media. This study aims to develop learning media for polynomial function derivative materials in the form of realistic visual media to instill the concept of polynomial function derivatives, which are named ‘Pool Garden’. This research is a development research that consists of three stages, namely the analysis of products developed, developing initial products, and product trials. The subjects of this study were 30 students of class XI Social Science, Batu City Madrasah Aliyah. The expert test results obtained a validity score of 3.45 which means that the learning media are valid and ready to be tested on a large scale. After a large-scale trial the student questionnaire results were obtained with an average value of 3.59, which means that practical and effective learning media are used in learning. Learning media has also been shown to increase student motivation in learning the concept of derived polynomial functions.
Factors of inhibit the mathematical critical thinking process of junior high school students
Authors: Rochmad  , Kharisudin I , Ardiansyah A S 
Published: June 2021

AbstractStudents had difficulty in thinking critically mathematically. In faced of problems of simple shapes on plane geometry, students had difficulty in solving them. This is caused students had less able to think critically mathematically. Indicators of mathematical critical thinking in this study included clarification, assessment, inference, and strategies. First of all, a test was carried out on 25 students in one class, grade VIII MTsN 1 Temanggung. The average critical thinking ability is 62 (in interval 0-100). Furthermore, the research subject were selected 6 students representing the entire class, a more in-depth study was conducted through interviews. Based on the results of the thinking process in solving problems showed that students were low level in mathematical critical thinking due to: students feeling satisfied with the answered of problems; did not checking his/her work; did not accustomed to practice thinking deeply in solving problems; lacked of mastery of the concepts contained in the problems; and had difficulties in connecting between concepts.
Instrument development design for metacognitive determination in calculus problem solving
Authors: Sugiharni G A D 
Published: June 2021

Abstract
This research main objective was to produce an instrument development design for metacognitive determination in calculus problem solving. This study used a development approach with the research and development method. The subjects involved in this study were two psychologists and three education experts. Observation, interviews, literature study and documentation, those were data collection techniques used in this study. This study used qualitative descriptive technique as the data analysis technique. The results of this study indicated a questionnaire design. It was the indicators of instrument development design for metacognitive determination in calculus problem solving. It had the percentage of effectiveness standards classified as good and very good criteria based on the five-scale categorization.
Flat plane geometry learning media through macromedia flash CS3 program in online mathematics learning
Authors: Nurjanah  , Dahlan JA , Wibisono Y 
Published: June 2021

AbstractA learning media is one of the many tools that are being developed by teachers to help students learn mathematics. Because of that, the learning media must be designed to fit the students’ characters. Junior high school students need a learning media that fits with the level of concrete thinking so that students are able to adapt the mathematical knowledge that are beginning to get abstract. For this purpose, scientists have tried to improve the learning media that are technology based using Adobe Flash CS3 program. The technology-based learning media using Adobe Flash CS3 have been tested in online learning practices which took part 124 students from several junior high schools in Bandung, as well as math teachers as observers. The results of this implementation show that improved computer-based learning media are responded positively by students. The students feel motivated to study, focused, and highly curious. This response is supported by their comments that the improved media is appealing, well organized system, and the animation has helped them to understand the material.
Development of STEM-nuanced textbook to improve students’ mathematical communication skill
Authors: Asikin M , Nurhidayat M F , Ardiansyah A S 
Published: June 2021

AbstractThis research is development research that aims to develop and to know the quality of Science, Technology, Engineering, and Mathematics (STEM)-nuanced teaching materials that were meet the suitability of characteristics, validity, readability, and improvement of students’ mathematical communication ability. This research uses the stages of Research & Development, including potential and problems; data collection; product design; product test (readability test); trial test; and final product. The results showed that the teaching material met the suitability of the characteristics. The results of the validity test showed a percentage of 88.54%. The readability test results showed a percentage of 63.65%. Analysis of pretest and posttest showed that teaching materials increased mathematical communication ability with the n-gain score of 0.44 in the medium category. Thus, the development of Science, Technology, Engineering, and Mathematics (STEM) nuanced teaching materials is qualified because suitability in characteristics, valid to use, easily understand, and can increase students’ mathematical communication ability.
CB-BL model (challenge based on blended learning) for mathematical creativity
Authors: Ardiansyah A S , Mulyono  , Mashuri  , Fiyanti R A , Hamidah F S 
Published: June 2021

AbstractTo improve students’ mathematical creativity, which is the competency in the industrial revolution 4.0 and is in 4-C and 5-C, it is necessary to have learning innovation for it. Challenge-based on blended learning (CB-BL) is a framework that integrates challenge-based learning and blended learning so that the need for face-to-face learning and learning using IT is satisfied. This research is a literature study research with the research aims to describe the CB–BL model steps that consist of The Big Idea, Essential Question, The Challenges, Solution – Action, and Assessment. The Big Idea and Essential Question are carried out face-to-face such that students know the learning objectives through solving challenges. The Challenges and Solution – Action are carried out online by providing the instructional video, textbook, and discussion forum integrated with the learning management system to solve the challenges. The last step is Assessment, which consists of Publishing Student Sample and Reflection, carried out face-to-face. In this stage, students publish the results of solving challenges and through self-reflection based on learning experiences they have carried out. By integrating challenge-based learning and blended learning, mathematics creativity can be developed. It is also a learning model that can be applied during New Normal.
Mathematical reasoning ability of junior high school viewed from logical mathematical intelligence
Authors: Prastika V Y A , Riyadi  , Siswanto  
Published: June 2021

Abstract
Mathematical reasoning is crucial especially at school since students need to think logically and be able to draw new conclusion based on evidence. This is a descriptive qualitative research which aims to analyze mathematical reasoning ability viewed from logical mathematical intelligence with 32 eight graders of Junior High School of 01 Jiwan involved. Instrument used is mathematical reasoning ability and logical mathematical intelligence test. The result of the research shows that students with high logical mathematical intelligence were able to present mathematical statement (88.89%), compile evidences or create solution (81.48%), design the characteristic or relationship pattern of mathematical phenomena (74.07%), and describe the logical conclusion related to ideas and their relationship (77.78%). Students with medium logical mathematical intelligence were able to present mathematical statement (60%), compile evidences or create solution (71.11%), design the characteristics or relationship pattern of mathematical phenomena (55.56%), and describe the logical conclusion related to some ideas and their relationship (57.78%). Students with low logical mathematical intelligence were able to present mathematical statement (58.33%), compile evidences or create solution (54.17%), design the characteristics or relationship pattern of mathematical phenomena (50%), and describe the logical conclusion related to some ideas and their relationship (45.83%).
The development of the spatial visual-oriented geometry test to measure the creative thinking skills of elementary students
Authors: Wijaya H T , Sunardi  , Yudianto E , Cahyanita E , Aini N R 
Published: June 2021

Abstract
This research is a qualitative descriptive research by using 4D development consisting of the Define, Design, Develop, and Disseminate stages. The research was carried out to develop a spatial visual-oriented geometric test to measure elementary students’ creative thinking skills. The creative thinking level of each student has different categories based on the fluency, flexibility, and novelty. The subjects of this research consisted of 5 students from 30 fifth grade students from elementary school which were selected based on the van Hiele’s level ability category of each student. Operationally, the steps of this research included the preliminary step of research, data collection, and data analysis. The data of this research was obtained by using tests, observation, and interview. The data of the students was obtained by conducting a learning outcome test. The results has showed that 5 students who met the category of students’ creative thinking had a variation on the percentage of the creative thinking level by using a spatial test, namely 40%, 20%, 20%, 20%, 20%, which were respectively categorized as very creative (level 4), creative (level 3), quite creative (level 2), less creative (level 1). There were 2 of 5 students who were at the same level, namely as very creative (level 4) but had differences in answering.
Exploring the elementary school’s teacher’s perception of students ‘mathematical thinking in mathematics teaching
Authors: Kurniasih A W , Hidayah I , Asikin M 
Published: June 2021

Abstract
Mathematical thinking serves as a core of mathematics instruction in schools. These research goals were identified 1) The elementary school’s teacher’s perception about thinking based on Bloom’s Taxonomy in mathematics instruction, and 2) The elementary school’s teacher’s perception of scientific approach in mathematics learning. This research was descriptive-qualitative. Data were obtained by using open-ended questionnaire methods for nine fifth-grade elementary teachers and passive participation observation toward two fifth-grade elementary school teachers in Semarang. The result 1) the elementary school’s teacher’s perceptions about the students’ thinking is that in theory and practice, the teacher has sufficient knowledge and facilitates the students’ thinking of remembering aspect and applying optimally to the students, and 2) Elementary school teachers’ perception about the scientific approach is in theory and practice the teacher understands and applies the observing, questioning, associating/processing information/reasoning, and communicating facilitations, but practically of collecting information, teacher’s facilitation is still less varied. The professional teachers noticing students’ mathematical thinking must be studied and developed in mathematics teaching.