bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing Physics Comic Media a Local Wisdom: Sulamanda (Engklek) Traditional Game Chapter of Impulse and Momentum
Authors: Permata Sari Fita , Nikmah Syafridatun , Kuswanto Heru , Wardani Ratna 
Published: December 2019

Abstract
Comics have output values and great influence on the entertainment market in accordance with the times. Comics can also be used in the field of education and are not only used as an entertainment media. This research aims to produce the local wisdom physics comics media: sulamanda or engklek traditional game impulse and momentum chapter and to know the feasibility of the product. Research and Development (R & D) research uses the Borg & Gall model. The research began with preliminary research, research design, developing initial products, limited trials, limited revised trials, initial field trials, revisions to the initial field trials. The research instruments used included product assessment sheets, student response questionnaires, and test questions. The results of the study show that the local wisdom physics comics media: sulamanda or engklek traditional game is assisted by an android impulse and momentum chapter containing impulse and momentum material, learning videos, examples and problem exercises and can be operated using a smartphone or computer. Products included in the feasible category are used in the learning process of physics for students based on good categories from the expert judegement and this media is can be implemented in the learning process inside and outside the classroom.
Students’ Chemical Literacy on Context-Based Learning: A Case of Equilibrium Topic
Authors: Anggrah Eny Hestu , Wiyarsi Antuni 
Published: December 2019

Abstract
This study was aimed to analyze the students’ chemical literacy on context based chemical equilibrium learning. This research used quantitative approach with survey method. A total 92 students of 11th grade from two public high schools in Special Region of Yogyakarta, Indonesia were selected using the purposive sampling technique. The data were collected using open-ended questions namely Chemical Equilibrium Literacy Test (CELT) to analyze the students’ chemical literacy ability in the topics of coral reef, hypoxia, teeth enamel, and ammonia production. CELT used 3 indicators of Higher-Order Learning Skills (HOLS) on chemical literacy, namely identifying the information, connecting the information and analyzing information. Data from CELT was analyzed using ideal rating category. The result of this study showed that only one third of the sample that has a good chemical literacy ability on the context-based chemical equilibrium learning. This study suggests that the context-based learning process should be always applied to school in order to improve the students’ chemical literacy ability better.
Students’ chemical literacy: A study in chemical bonding
Authors: Lusyana Yustin Dessy , Wiyarsi Antuni 
Published: December 2019

Abstract
Scientific literacy is the ability to understand science, communicate science, and apply science skills to solve a problem. Scientific literacy skills, especially chemical literacy are things that must be possessed by students in the 21st century. This study aims to analysis students’ chemical literacy abilities in chemical bonding material. The research use quantitative approach by survey method. A total of 199 first year students from four Public High Schools were randomly selected in the school category, they have very good accreditation in the Special Region of Yogyakarta, Indonesia. Data were collected by test techniques with Chemical Bonding Literacy Test (CBLT). The instrument consist of chemical literacy ability open-ended questions with three aspects namely the context, chemical knowledge content, and Higher-Order Learning Skills (HOLS) in the form of 21 questions about chemical bond material. The analysis of students’ chemical literacy ability is done by categorizing the scores obtained from the test into the ideal ranking category. The results of this study indicate that students’ chemical literacy ability are still very low as evidenced by the results of the analysis students entered into the bad category. This study suggest that students need to be extra in develop their chemical literacy skills, especially in the aspects of connecting and analyzing scientific information.
Screening of antimicrobial-producing lactic acid bacteria isolated from traditional fish fermentation against pathogenic bacteria
Authors: Amarantini C , Satwika D , Budiarso T Y , Yunita E R , Laheba E A 
Published: December 2019

Abstract
This study aims to obtain lactic acid bacteria (LAB) which have probiotic properties and inhibitory effects against pathogens. Peda fish fermented in 20% salt solution used as samples. Antimicrobial properties of LAB isolates against gram-positive and gram-negative pathogens (Salmonella typhi BPE 127.1.MC, Salmonella typhi BPE 122.4.CCA, Salmonella typhi NCTC 786, Salmonella typhimurium FNCC 0050, Pseudomonas putida FNCC 0071, Bacillus subtilis ATCC 6633 and Staphylococcus aureus ATCC 25923) were tested using agar well diffusion method. To exclude acid production, the cell-free culture supernatant (CFCS) solution was neutralized using 1 N NaOH before antimicrobial activity was tested. Likewise with bacteriocin tests, CFCS solutions that have been neutralized, were treated first by heating at 100ºC for 10 minutes in order to enzyme inactivation. A total of 26 out of 50 LAB isolates showed clear zones in the MRS-CaCO3 agar medium, gram positive, and negative catalase as the main characteristics of LAB. Sixteen of the 26 LAB isolates were known to be tolerant to pH 2 and 1% of bile salts. In addition, 92.3% of LAB isolates (15 of 16 LAB isolates) were homofermentative. The antimicrobial test results found that two of 26 LAB isolates (i.e. LAB Pr.3.4L and Pi.5.8 isolates) were shown to have very strong inhibitory effects against gram-positive pathogens S. aureus ATCC 25923 compared to S. typhi BPE 122.4.CCA. Thus the two strains of LAB are indicated as bacteriocin-producing probiotic strains, and need to be pursued further for identification and optimization of production.
Isolation And Characterization Of Fermenting Yeast From Traditional Ethanol Production
Authors: Satwika Dhira , Djojoatmodjo Suhardi , Finnegan Gustin , Puttajaya Dhira , Ivana Jovita 
Published: December 2019

Abstract
Ethanol fermentation still plays a significant role in the industry, as it has a huge economical value. Saccharomyces cerevisiae is the most often culture being used for this fermentation because its superiority in producing ethanol. However, this yeast also showed its limitation because of the toxic effects of ethanol to the cells. This research was done to isolate new fermenting yeasts from traditional fermentation process in Solo, Central Java, with the hope to obtained more potential strains. A series of isolation and purification steps were done and two potential yeasts isolates obtained. They are identified as Schizosaccharomyces pombe and Zygosaccharomyces parabailii, respectively. At least one isolates showed comparable ethanol fermentation capacity compared to S. cerevisiae and deserve further research.
TPACK Mastery of Biology Teachers: A Study Based on Teacher Gender
Authors: Astuti F. E. C. , Paidi  , Subali B. , Hapsari N. , Pradana S. P. , Antony M. K. 
Published: December 2019

Abstract
TPACK is knowledge that needs to be mastered by teachers to be able to integrate technology in the learning process. The success of integrating ICT can be influenced by teacher gender. Differences in character between male and female teachers can influence teacher’s steps and ways to teach to integrate technology in learning. This study aimed to know TPACK mastery of biology teacher and how it differs between male and female biology teachers. This study involved 29 biology teacher respondents who were taken using the convenience sampling of the hypothetical population. Data collection is conducted using a test instrument consisting of 40 items. Instruments meet the logical validity test based on expert judgment. The empirical validity showed infit MNSQ 1.00 invitations and standard deviation of 0.16 which means all items were valid. Test instrument reliability results of 0.57 means that test was good enough to provide consistent measurement results. The data were analysed descriptively and inferentially through the independent sample t-test. The results of this study showed teacher TPACK mastery was good with a score of 59.15 but TK domain with score of 46.67 and TPACK domain with score of 45.83 were still fair. TPACK mastery of biology teacher was not differentiated by teacher gender with p>0.05.
Developing a Learning Continuum of the Pedagogic Materials of Genetics Aspects from Elementary School to Senior High School Level Based on the Opinions of Biology Education Experts
Authors: Orizasativa L. , Subali B. , Paidi  
Published: December 2019

Abstract
Learning continuum is a set of competencies mutually related from one concept to the others. The competencies are ordered from the easy ones to the difficult and specific ones at all levels sustainably from the elementary to the secondary level. This study aims to reveal the opinions of biology education experts on the learning continuum of genetics materials viewed from the competency level and material characteristics and also to reveal the learning continuum of the specific pedagogic materials of the genetics aspects according to experts. The expert respondents were selected by considering their educational background, namely their expertise in the field of biology education, with regard to their bachelor, masters, and doctoral programs. This study is a survey with a sample of 85 biology education experts, established using the convenience technique, i.e. those who are easy to find. The result of this study shows that 25% of the respondents agree that genetics is taught to grade 9 students at the cognitive level of C2 (comprehension), on the sub-aspect of character inheritance, while 75% have the opinion that genetics is taught to grade 12 students at the cognitive level of C2 (comprehension). However, 100% of the participants of the Forum Grup Discussion have the opinion that genetics is taught to grade 12 students at the cognitive levels of C2 and C3. Therefore, it can be concluded that the genetics aspect is taught to grade 9 students of junior high school and it is taught again to high school students for the different cognitive level and the learning materials are different and more complex
The TPACK Profile of Biology Teacher Based on Certification Status: A Case Study in Bantul Regency
Authors: Hapsari N. , Paidi  , Subali B. , Astuti F. E. C. , Pradana S. P. , Antony M. K. 
Published: December 2019

AbstractThis study aims to find out the differences TPACK profile of biology teacher based on certification status. TPACK is a framework that must be possessed by teachers in utilizing technology to deliver the subject matter to students. The sample used in this study was 38 biology teachers in Bantul. The selection of samples in this study used a convenience sampling technique. This study used observation techniques in data collection. The data was then analyzed descriptively and inferentially. The results of the study showed that the PCK and TCK profile is no different between certified biology teachers and un-certified biology teachers, certification status has more influence on the mastery of TPK and TPACK.
Fuzzy Multi Attribute Decision Making (FMADM) Implementation for Classifying Student’s Single Tuition Fee (UKT) Based on Android Applications
Authors: Sugiyarto A W , Pamungkas R , Rasjava A R , Abadi A M 
Published: December 2019

Abstract
Universitas Negeri Yogyakarta is one of the state universities in Indonesia that assigned Student’s Single Tuition Fee (UKT) policy. UKT is an Indonesian government policy of tuition fees charged to every student with nominal based on the student’s financial capabilities. Although the implementation of UKT nominal has been arranged in such ways, there are problems occurred, such as inconsistency and inaccuracy of UKT nominal classification. This causes so many dissatisfactions between students to the UKT nominal that did not meet the expectations and raises questions about the transparency of the determination of student’s UKT nominal. Therefore, the application of Fuzzy Multi Attribute Decision Making (FMADM) can improve the accuracy and the effectivity of the determination of student’s UKT nominal also answering the student’s questions and giving clarifications about student’s UKT nominal. The result of this research was an Android-based application that can be used for determining student’s UKT nominal and determining what group that nominal belongs to with ease for under 5 minutes fast. With this android application, determining and calculating student’s UKT nominal will be much faster and more accurate when groupping the UKT nominal than the conventional method used before.
Multivariate Adaptive Generalized Poisson Regression Spline (MAGPRS) on the number of acute respiratory infection infants
Authors: Otok B W , Hidayati S , Purhadi  
Published: December 2019

Abstract
Acute Respiratory Infection (ARI) is an infectious disease of the respiratory tract that affects the structure of the respiratory tract. The ARI is a health problem that should not be ignored because it causes high infant mortality. Therefore, it is important to know the factors that influence the ARI. Generalized Poisson Regression (GPR) is one of method that can handle cases of overdispersion (variance is greater than the mean) or underdispersion (variance is less than the mean). Multivariate Adaptive Regression Spline as a statistical method for fitting the relationship between a set of input variables and dependent variables. This research is the development of the MARS method and GPR namely MAGPRS. The application of the MAGPRS model was carried out in the case of the number of ARI in infants from surabaya health departement 2017. The results showed that the importance of predictor variables in MAGPRS, the variables affecting the number of ARI patients in infants are the percentage of low birth weight (X2), the percentage of unhealthy houses (X5), and the percentage given non-exclusive breastfeeding to infants (X1).
The Infinitely Divisible Characteristic Function of Compound Poisson Distribution as the Sum of Variational Cauchy Distribution
Authors: Devianto D , Sarah  , Yozza H , Yanuar F , Maiyastri  
Published: December 2019

Abstract
The new particular compound Poisson distribution is introduced as the sum of independent and identically random variables of variational Cauchy distribution with the number of random variables has Poisson distribution. This compound Poisson distribution is characterized by using characteristic function that is obtained by using Fourier-Stieltjes transform. The infinite divisibility of this characteristic function is constructed by introducing the specific function that satisfied the criteria of characteristic function. This characteristic function is employing the properties of continuity and quadratic form in term of real and nonnegative function such that its convolution has the characteristic function of compound Poisson distribution as the sum of variational Cauchy distribution.
Estimation of covariance matrix using multi-response local polynomial estimator for designing children growth charts: A theoretically discussion
Authors: Chamidah N , Lestari B 
Published: December 2019

Abstract
In statistical analysis for instance regression analysis we always be faced a estimation problem of regression function which draws relationship between variables in the regression model. In the real cases we frequently meet the relationship between one or more response variables and one or more predictor variables where there are correlations between responses that is called a multi-response regression model. There are two approaches to estimate the multi-response regression model, i.e., parametric and nonparametric. One of estimators in nonparametric regression model is local polynomial estimator for estimating the regression function. Since there are correlations between responses then in the estimating of regression function we need a weight matrix that is to be inverse of covariance matrix of error. Therefore, the main objective of this research is to estimate of covariance matrix of error by using multi-response local polinomial estimator. The result of this research is a covariance matrix estimator that is in the future can be used to design children growth charts.
A comparison of extreme gradient boosting, SARIMA, exponential smoothing, and neural network models for forecasting rainfall data
Authors: Agata R , Jaya I G N M 
Published: December 2019

Abstract
Extreme gradient boosting, is a combination of gradient descent and boosting that can be used to build an optimal model for time series data. This method was used to forecast the rainfall data in city of Bandung for period 2018-2019 and compared to Seasonal Autoregressive Integrated Moving Average (SARIMA) exponential smoothing, and artificial neural network which were used as benchmarks. Data used in this study were monthly rainfall from 2000 through 2017. The extreme gradient boosting had the lowest mean absolute deviance, root mean squared error deviance, and mean absolute percentage error. This indicates the extreme gradient boosting model performed better than the SARIMA, exponential smoothing, and neural network. Based on the extreme gradient boosting model, it is concluded that the highest rainfall will occur between September 2018 and May as a rainy season in Bandung, and the lowest rainfall will occur between June and August as a dry season.
Probabilistic multi-objective optimization approach to solve production planning and raw material supplier selection problem under probabilistic demand value
Authors: Sutrisno  , Wicaksono P. A. , Solikhin  
Published: December 2019

Abstract
This article is addressed to study the development of a probabilistic multi-objective optimization model that can be used to optimize the production planning and raw material procurement in a manufacturing industry where the demand value is unknown. First, the unknown demand value is assumed to be a random variable with some known probability distribution. Then, we formulate the multi-objective optimization model with two objective functions which are the total procurement cost that is minimized and the total production number that is maximized. Some related constraints that should be satisfied are also be formulated. We solve this multi-objective optimization problem by finding the Pareto solution. The calculation is performed in LINGO 18.0. To simulate and observe how the optimal decision is made, a computational simulation using generated data was performed. From the results, the optimal decision is obtained (the number of the raw material that should be purchased from each supplier and the number of the product that should be produced).
Evaluation of geographically weighted multivariate negative Binomial method using multivariate spatial infant mortality data
Authors: Dewi Y S , Purhadi  , Sutikno  , Purnami S W 
Published: December 2019

Abstract
Global regression assumes that the relationships being measured are stationary over space or the model is applied equally over the whole region. If there is spatial heterogeneity on the data, then the global model is not suitable to the reality. To overcome multivariate spatial over dispersed negative binomial data, we evaluate geographically weighted multivariate negative binomial (local method) and compare it to the global method (multivariate negative binomial). The results show that the geographically weighted negative binomial performs better than the global method. The log likelihood of the local method is higher than the global method. The deviance and mean square prediction error of the local method are smaller than the global method. Moreover, the prediction of dependent variables of the local method are closer to the observed data than the global method. The estimated coefficients of the local method vary, depending on where the data are observed.
The Profile of Junior High School Students’ Mathematical Creative Thinking Skills in Solving Problem through Contextual Teaching
Authors: Sa’dijah Cholis , Fitri Handayani Ucik , Sisworo  , Sudirman  , Susiswo  , Tejo Dwi Cahyowati Ety , Sa’diyah Mukhtamilatus 
Published: December 2019

Abstract
The purpose of this study was to describe the profile of students’ mathematical creative thinking skills in solving problems through contextual learning based on high, medium, or low initial abilities. The method used in this study is descriptive qualitative. There were 6 research subjects of junior high school students in the border area of Malang and Blitar Regencies. Data collection was done by observation, tests, and interviews. The results of this study are (1) High-ability students can fulfill three indicators; those are fluency, flexibility, and novelty according to the material, so that they are in the very creative category. There are high ability students who fulfill two indicators; those are fluency and flexibility well based on the material, so that they are in the creative category. (2) Middle-ability students can fulfill an indicator namely flexibility according to the material, so that they are in the category of quite creative. (3) Low ability students can fulfill two indicators, namely fluency and flexibility well based on the material, so that they are in the creative category. (4) The profile of students’ mathematical creative thinking skill in solving problems through contextual learning based on early mathematical abilities was different. The profile of students’ creative thinking skills is expected to be a teacher’s reference to determine appropriate assignments and assessments to be given to students.
The Lost Process of Mathematical Literacy on Excellent Students at MAN 2 Kudus
Authors: Choirun Nisa Lulu , Inayah Ainal 
Published: December 2019

Abstract
Data showed that Indonesian mathematical literacy from 2006 to 2015 was always below the PISA average score. Previous research showed that student on Regular Science Program in MAN 2 Kudus has a better level of mathematical literacy than students on Excellent Science Program. This is a case study on Excellent Science Program MAN 2 Kudus as the subject of the research, 27 students. Data was taken with adjusted PISA tests and interviews then analyzed by Miles and Huberman method. The results showed that 36% of students at the Regular Science Program and 41% of students at the Excellent Science Program had literacy level below level 1. An in-depth study of the mathematical literacy process in the Excellent Science Program shows that 11% of students did not understand the problem. Of the 89% of students who understand the problem, 42% of them cannot translate the context into mathematical form, 29% of students only reach the Formulate process, 4% of students reach the Employ and Interpret process, and 21% of students reach the Evaluate process. Thus, to improve mathematical literacy, understanding contextual problems and improving skills in formulating problems into mathematical languages or models must be strengthened.