bluuebunny/crossref_metadata_2025_split huggingface dataset:
The performance evaluation of the bivariate EWMAcontrol chart using CARL distribution and EPC
Authors: Acita Selly , Mashuri Muhammad , Prastyo Dedy Dwi 
Published: June 2020

Abstract
In general, control charts are developed with the assumption that the critical quality of a production process is normally distributed with known parameters. However, in practice, critical quality is not always normally distributedand process parameters are typically unknown. In such a case, it is necessary to estimate the parameters. One of the measuresto evaluate the performance control charts is Average Run Length (ARL). When the process parameters are estimated, the run-length follows its conditional distribution so-called Conditional Average Run Length (CARL). In this study, the performance of the Bivariate Exponentially Weighted Moving Average(BEWMA)control chart will be evaluated by considering the practitioner to practitioner variability using the CARL distribution and the Exceedance Probability Criterion (EPC). The value of CARL is calculated using the Markov Chain method. The EPC is used to evaluate practitioner to practitioner variability that is closely related to parameter estimation.The results show that to guarantee the in-control performance Phase II chart based on EPC, the large size of observations in Phase I data is needed. However, in practice, it is difficult to collect such a huge size ofdata in Phase I. Therefore, to produce the best in-control performance with available Phase I, the control limits are adjusted.
Three-parameter bivariate gamma regression model for analyzing under-five mortality rate and maternal mortality rate
Authors: Wenur G H , Purhadi  , Suharsono A 
Published: June 2020

Abstract
Gamma regression is often used to model continuous, right-skewed and strictly positive data. This paper discusses three-parameter gamma regression, namely scale, shape, and location parameter, with two correlated response variables. The purpose of this study is to determine the estimator parameters, perform the testing for the parameters using Maximum Likelihood Ratio Test (MLRT) and its application in the cases of the Under-five Mortality Rate (U5MR) and the Maternal Mortality Rate (MMR) in North Sulawesi, Gorontalo, Central Sulawesi Provinces in 2016. The parameter estimation in this global model obtained through MLE. Nevertheless, the results showed an unsolvable equation in closed-form, then we used numerical optimization. In this study, we were using the Berndt-Hall-Hall-Hausman optimization method. After the estimation results are obtained, the estimation parameters need to be tested with a simultaneous test with the MLRT,while for test partially, we used the Z test. Moreover, the factors that influence U5MR and MMR are the poor population, the obstetric complications handled, the mothers received Fe3 during pregnancy, the teenage pregnancy,the children under-five received vitamin A and the households with clean and healthy life behavior.
Analyzing the roles of the construction sector by using multiplier analyses: the cases of Indonesia and Japan
Authors: Zuhdi Ubaidillah 
Published: June 2020

Abstract
This study aims to analyze the roles of the constructionsector in the Indonesian and Japanese national economies by employing simple output and simple household income multipliers, the analysis devices in the analysis of Input-Output (IO). The analysis periods of the study are 2010 and 2011. The former year is an analysis period for the case of Indonesia while the Japanese case utilizes the latter one.The study uses2010 Indonesian and 2011 Japanese IO tables as data.The results show that, by utilizing simple output multiplier, the discussed sector included in the top five sectors for both cases on the analysis periods. Based on the results, one can say that the sector had the important positions in the national economies of both countries on the periods of analysis. On the other hand, by using simple household income multiplier,the analyzed sector included in the top five sectors on the analysis period for the Japanese case.
The simulation of weathering processes in three different types of oil
Authors: Millah N , Nugraheni K , Anggriani I 
Published: June 2020

Abstract
Pipeline leaks, wells damage, and water transportation accidents are some of the causes of oil spills at sea. This spill causes seawater pollution and disturbs the equilibrium of marine life. Oil spills will spread and move with the influence of currents and sea wind. Spilled oil undergoes several physical and chemical processes, including spreading, evaporation, emulsification, dissolution, and dispersion. This process results in changes in oil density, volume, and viscosity. It is important to be aware of changes in oil spill conditions because it relates to clean up efforts of oil spills at sea. This research presents some mathematical models of the oil weathering processes which include physical and chemical processes. Then a numerical simulation is performed using a finite difference method to see the changes that occur in three types of oil: heavy, medium and light oil. Simulation results show that the three types of oil have a relatively similar tendency to spread. The highest rate of evaporation and emulsion water content is shown by light oil. This resulted in higher volume and viscosity. Therefore, the process of cleaning up will require greater effort for light oil spills.
Recognition of person’s character through the shape of signature using Radial Basis Function Neural Network (RBFNN) method
Authors: Faisol  , Ahmad  , Sakdiyah Halumatus , Aini Qurratul , Kuzairi  , Yulianto Tony 
Published: June 2020

Abstract
Signatures are a marker or identity that exists in a document. Signatures have an important role in verifying and legalizing documents. The purpose of this study is to apply image processing techniques to signatures and to identify patterns of signature images based on entropy values. The stages of the research include taking respondents’ data in the form of analog image signatures, then the acquisition of digital signature images by scanning the signatures. The next step is to convert digital hand images from true color to binary. The last step is calculating the entropy value, recording the entropy value calculation time using Matlab software and looking at the distribution of entropy values from each signature image. From this method, the result of 50 data of signatures taken from students of the Islamic University of Madura (UIM) of the FMIPA, there are 11 to 1st type, 1 to 2nd type, 13 to 3th type, 4 to 4th type, 9 to 5th type, 3 to 8th type, 7 to 9th type and 2 to 11th type.
Sentiment analysis for Indonesia hotel services review using optimized neural network
Authors: Apriliani D , Abidin T , Sutanta E , Hamzah A , Somantri O 
Published: June 2020

Abstract
In this paper, the sentiment model for the classification of review of hotel services in Indonesia is proposed to get a recommendation supporting the decision to search for the best hotel as the background in this study. The neural network model is applied to get the best model in this sentiment analysis. The stages of the research were carried out by first preprocessing the text data obtained through feature selection, in addition to optimizing the selection of attributes and optimizing the parameters carried out to improve the accuracy of the obtained classification. The genetic algorithm is proposed for parameter optimization due to limitations in neural networks in determining parameter values. Based on the results of the experiment, in the neural network model after optimization, the best accuracy rate is 88.99%.
On the modeling of the new student acceptance status through science and technology written test using bernoulli mixture model
Authors: Shiela Novelia D P , Zain Ismaini , Iriawan Nur , Suryaningtyas W 
Published: June 2020

Abstract
This research aimed to model StudentAcceptance Status at the Sepuluh Nopember Institute of Technology (ITS) through the written test of science and technology, using Bernoulli Mixture Model in order to evaluate the new student acceptance status. BMM distribution was established based on the comparisonbetween the students’ scores of the basic abilities, namelyMathematics, Physics, Chemistry, and Biology which correspondedto the majors they had chosen, combined with the Student Acceptance Status (0 and 1). This combination generated two components of Mixture, namely right or wrong. The characteristics of each component were then identified through BMM by involving the covariates of Student Acceptance Status, namely the basic ability test and the scholastic test. The combination of Markov Chain Monte Carlo with the Gibbs Sampling algorithm was employed to estimate the parameters used in this research. This method was applied to the data of prospective students who registered in ITS through written test of science and technology. This research result showed the estimated parameters and the formed model of BMM.
Forecasting competition for sales of local and national bottled drinking water in madura using fuzzy sugeno method
Authors: Yulianto T , Fatmawati  , Windarto  , Halim A , Faisol  , Suprianto  , Dharmawan A K 
Published: June 2020

Abstract
Bottled Drinking Water (AMDK) is processed water, without other food ingredients and food additives, packaged, and safe to drink. AMDK itself which is widely known in the community is national product AMDK. However, local products have emerged to try to compete with national product AMDK. As for local product AMDK which is produced mainly in Madura, the average product is made from Islamic boarding schools. From the level of competition, the idea is emerged for forecasting primarily in the field of sales using the fuzzy Sugeno method. The results obtained from fuzzy Sugeno are turned out to produce a MAPE that the value for local AMDK is 6.4795 and a national AMDK is 2.5353, so that the conclusion about national production is closer to the real value than local AMDK. This study contributes that the predictive value of sales competition is quite accurate based on the MAPE value is below 10. This study provides recommendations to local sellers to make improvements in factors in order to be better than national sellers.
The development of student worksheets: questions of PISA model to analyze the ability of mathematical literacy in junior high school
Authors: Sutama  , Narimo S , Anif S , Prayitno H J , Sari D P , Adnan M 
Published: June 2020

Abstract
Mathematical literacy was urgent to promote the industrial revolution 4.0. There are two purposes of this study. 1) Describing how to develop questions of PISA model in content of uncertainty and data that were valid and feasible. 2) Examining the potential effect of students in complete the questions of PISA model. It was research and development with ADDIE type, which consisted of analysis, design, development, implementation, and evaluation. The research was conducted in SMP Negeri 1 Karanganyar on 2018/2019 academic year. Technique of data collection used: walkthrough, assessment, and task-based interview. Based on findings, this research had produced the questions of PISA model that were valid and feasible in content of uncertainty and data. Valid drawn from the result of validators judgement which states that the questions had developed were good in content, construct, and language. It demonstrated that 26 of 32 students were able to solve the questions of PISA model with the details i.e.: 26 students had achieved level 1 (81.25%), 20 students had achieved level 2 (62.50%), 16 students had achieved level 3 (50.00%), 12 students had achieved level 4 (37.50%), 8 students had achieved level 5 (25.00%), and 4 students had achieved level 6 (12.50%).
The sustainability concept of Riau cultures through development of mathematics learning devices based on Riau folklore at elementary schools
Authors: Rezeki S , Andrian D , Wahyuni A , Nurkholisah H 
Published: June 2020

AbstractThis research aimed to develop valid and practical mathematical learning devices. Learning devices were developed with the Realistic Mathematics Education approach (RME) based on Malay folklore of Riau. The method in this research was Research and Development (R & D) using Plomp modification with five phases namely: (1) initial investigation, (2) design, (3) realization or construction, (4) Tests, evaluations and revisions, (5) implementation. Samples in this research were Elementary School Benteng District of Riau Province. Learning tools developed in the form of Planning Learning Implementation Planning (LIP) and Students Activities sheets (SAS). The instruments used were LIP validation sheets, SAS validation sheets, LIP practicality questionnaires (teacher and student responses), SAS practicality questionnaires (teacher and student responses) and questionnaires to assess the implementation of learning. The results of LIP validation acquired value about 83.04% with fairly valid criteria, the practicality analysis result of LIP about 85.29% with very practical criteria, SAS validation result about 83.77% with fairly valid criteria, and SAS practicality analysis result about 84.55% with quite practical criteria. Based on the results of the research it can be concluded that learning devices developed based on Riau Malay folklore have been valid and practical.
The effect of emotional intelligence, learning discipline and peer interaction on mathematics learning outcomes of state junior high school students in Samarinda
Authors: Azainil  , Amalia K R , Sugeng  , Dimpudus A , Ramadiani  
Published: June 2020

Abstract
This study aimed to determine the effect of emotional intelligence, learning discipline, and the peer interaction on mathematics learning outcomes of State Junior High School (SMP) Students in Samarinda City. This research is a quantitative study using the ex post facto method. The population in this study were all eighth-grade students of SMP in the Samarinda who implemented the 2013 curriculum totaling 899 students. The sample was determined using cluster random sampling techniques and a sample of 279 students was obtained. The instruments used in this study were questionnaires and tests. The results of data analysis using multiple linear regression analysis and obtained a significance value of 0,000 with α = 0.05, there is an influence between emotional intelligence, learning discipline and the peer interaction on mathematics learning outcomes. For the learning discipline variable, the significance value of 0.020 is obtained with α = 0.05, so there is the effect of the discipline of learning on mathematics learning outcomes. For peer interaction variables obtained significance value of 0.002 with α = 0.05 then there is the influence of peer interaction on mathematics learning outcomes. The conclusion of this study shows that emotional intelligence, learning discipline, and peer interaction significantly influence mathematics learning outcomes of SMP in Samarinda city.
Student’s problem solving abilities in Project Based Learning (PjBL) based on Learning Community (LC)
Authors: Faozi A K A , Hobri  , Fatekurohman M , Aini K , Yuniar D 
Published: June 2020

Abstract
This research intended to develop the mathematics learning device with Project Based Learning which based on Learning Community and presents the effects of developing problem solving on project-based learning by providing different cases secondary level students (SMK) (n = 84). The purpose of this article is to understand clearly and deeply how the learning methodology can influence the process and learning outcomes. Project based learning by solving different problems is possible to develop creative ideas while increasing highly developed skills. The fact shows that their average of problem solving skill is still relatively low. Therefore, in this study, we will apply project-based learning to improve their problem solving. This type of research is a mixed method, which combines quantitative and qualitative research. The quantitative method is used to analyze student learning outcomes, while the qualitative method is used to analyze students’ mathematical problem solving. The Respondents in this study consist of three classes, namely two experimental class of 56 students and a control class of 28 students. The research shows that pre-test result of both classes indicates that the three classes are homogeneous. While the post-test result shows that the average of the three classes is significantly different. The inferential statistic result of independent sample t-test of students learning outcomes post-test shows that the sig (2-tailed) is 0.00 (p ≤ 0,05), thus it is significant. Furthermore, Due to the significance value is less than 0.05, it means that H0 is rejected; H1 is received. Therefore, the learning outcomes of students’ problem solving abilities in the experimental class are better than the control class.
Profile of students’ creative and innovative thinking in solving open-ended mathematics problems about the coffee plantation
Authors: Albab A U , Wangguway Y 
Published: June 2020

Abstract
Creative and innovative thinking skills become an important thing for students to solve a problem. This research aims to describe the students’ ability of creative and innovative thinking for solving open-ended problems about coffee plantations. The type of this research is qualitative descriptive. This research was conducted on the students of class VIII B Junior high school 1 Jember. The instruments used were creative and innovative thinking test in the form of open-ended problems and interview guidelines. The data collection methods used in this research were test methods and interviews. After all students of class VIII B had been given the test, then research subjects were selected using snowball sampling technique to get saturated data. Based on the data analysis, the profile of class VIII B students’ creative and innovative thinking skills with 36 students is: 44% fulfilling 4 indicators, 19% fulfilling 3 indicators, 0% fulfilling 2 indicators, 6% fulfilling 1 indicator, 31% fulfilling 0 indicators. It shows that generally, students have quite good creative and innovative thinking skills. Students can use several ways to solve problems. Students are able to find unique ideas to solve problems. Students expand, select, analyze and evaluate the basic idea of problem solving. Students use the creative idea on the innovation of problem-solving.
The analyze of students’ creative thinking skills on Lesson Study for Learning Community (LSLC) based on Science, Technology, Engineering, and Mathematics (STEM) approach
Authors: Yuniar D , Hobri  , Prihandoko A C , Aini K , Faozi A K A 
Published: June 2020

Abstract
This research was intended to develop mathematics learning tools on Statistics material on the seventh grade of junior high school through Science, Technology, Engineering, Mathematics based on Lesson Study for Learning Community and its effect on the students’ creative thinking ability. The method used was the mixed-methods combining qualitative and quantitative researches. Thiagarajan model as the developmental research was taken as the qualitative one. This research consisted of three classes; two experimental classes and one control class. The experimental design used was non-equivalent control group design. In normality test, the data obtained were normally distributed and the data were proved homogeneous based on the homogeneity test, so that it was necessary to do parametric data analysis by using One-Way ANOVA analysis. Based on the results of this research, the conclusions were summed up into: (1) The development of learning tools were categorized to valid, effective and practical, (2) The application of LSLC-based STEM had a significant effect on the students’ creative thinking ability which was indicated by a significance value of 0.000 (p<0,05).
The influence of mathematics academic potential and learning motivation of Papuan college students in Jember on academic achievement
Authors: Wangguway Y , Albab A U 
Published: June 2020

Abstract
This research aims to find out the influence of mathematics academic potential and learning motivation of Papuan college students in Jember on academic achievement. The population in this research is Papuan college students who study in Jember. Data collection is by using the questionnaire method, test method, and documentation method. The questionnaire method is for collecting data of learning motivation, the test method is for collecting data of mathematics academic potential. Analysis prerequisites in this research are the test of normality, the test of multicollinearity, the test of heteroscedasticity, and the test of autocorrelation by SPSS of 17 versions for Windows. The analysis method used in this research is the t-test of hypothesis testing with a significant level of 2-tails or α ≥ 0,05. The research result shows that mathematics academic potential and learning motivation has a significant effect on the academic achievement of Papuan college students in Jember Regency, East Java.
The students’ mathematical communication skill on caring community-based learning cycle 5E
Authors: Aini K , Hobri  , Prihandoko A C , Yuniar D , Faozi A K A , Asmoni  
Published: June 2020

Abstract
This research aimed to develop the instruments of Mathematics instructional by using caring community-based learning cycle 5E on “Matrix Operations” Learning Material for the eleventh grade students of senior high school as well as to know its effect on the student’s mathematical communication skill. The research method used in this study can be considered as a combination of qualitative and quantitative methods. Qualitative methods are used to obtain data related to the results of the development of learning tools and quantitative methods are used for statistical analysis. The research subjects were the students of SMAN 1 Tegaldlimo, Banyuwangi Regency, from which three classes were chosen as the research samples, class XI MIPA 4 as the control class and class XI MIPA 5 as the first experimental class and class XI MIPA 2 as the second experimental class. Mathematical communication skill was measured by using the essay test. In the normality test, the data obtained were normally distributed and the data were homogeneous based on the homogeneity test, so that it was necessary to do the parametric data analysis by using One-Way ANOVA analysis. The results of the research showed that: (1) the instructional instrument resulted was valid, the implementation of the instructional instrument was practical and effective; (2) the significance value (2-tailed) was 0.000 (p < 0.0-5), which indicated that the application of learning by using caring community-based learning cycle 5E had a significant effect on the student’s mathematical communication skill.