bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dissemination of test instruments as product of the development research to measure the problem-solving ability of class X students by online in the pandemic period
Authors: Susilaningsih E , Nuswowati M , Aprilia N , Luthfiyah A 
Published: June 2021

Abstract
Assessment of online problem-solving abilities that are integrated on knowledge test questions to measure the cognitive aspects of students is very necessary during a pandemic. This study aims to disseminate test instruments, to measure students’ problem-solving abilities. This research uses descriptive quantitative method, with the design of test instrument preparation, the implementation of test, and the data analysis of test result. The research subjects were students of class X, totaling 75 students. Data collection was carried out by tests and questionnaire sheets. Data analysis used the IRT Rasch model to estimate separation item reliability, item fit, wright map, item measure, person fit, person measure and DIF items. The results showed the profile of students’ problem-solving abilities with sufficient criteria was 97% namely 73 of 75 students, with 16% classical completeness, namely 12 of 75 students. The results of the item analysis using the Rasch model showed the overall reliability of the test was 0.73, a good criterion. The results of the student response questionnaire recapitulation were as many as 95% of students gave positive responses to the developed test instruments. This test instrument is able to measure students’ problem-solving abilities and can help implement learning outcomes tests during a pandemic.
Creative skill improvement of the teacher candidates in designing learning programs through a project-based blended learning
Authors: Sumarni W , Sudarmin S , Kadarwati S 
Published: June 2021

Abstract
The students’ 21stcentury skills are also determined by the teachers’ 21stcentury competencies. One of them is the skill in designing learning programs. This applies as well for the teacher candidates. Improving the teacher candidates’ skill in designing learning programs is highly required and be the scope of this study. This study aims to improve the creative thinking skills of the teacher candidates in designing learning programs through a project-based blended learning (PjBL). This study was designed as an action research involving 32 teacher candidate students in a teacher education institution in Central Java, Indonesia as participants. The data collection was performed through an assessment on the process and product design of the learning programs. The data obtained were analyzed descriptively quantitatively and were categorized. An increase in the teacher candidate students’ creative thinking skills was achieved in this study with quite good and very good categories.
Determination of the water quality of Pindol river as a source of irrigation water in Bolaang Mongondow district, North Sulawesi province
Authors: Wantasen S , Luntungan J N , Lumingkewas A , Ogie T B 
Published: June 2021

Abstract
Pindol River is a river that is a source of irrigation water and raw water in Bolaang Mongondow Regency. The Pindol River is a source of the Lolak Dam water supply. The Lolak Dam which will irrigate rice fields covering an area of around 3,714 ha in Bolaang Mongondow Regency. The purpose of this study was to assess the water quality of the river Pindol as a source of irrigation water in terms of the value of Sodium Adsorption Ratio (SAR). The used method was field observation and laboratory analysis for river water samples. Water quality was carried out using the Composite Sampling Method in the Pindol River at two sampling points and three replications. The measured parameters were Na, Ca, Mg, as well as other chemical parameters. The measured data Na, Ca, Mg were calculating using the SAR formula. The data generated from laboratory analyzed descriptive statistics. The results showed that the concentration Na was 0.991 meq/l to 1.040 meq/l, Ca 0.281 meq/l to 0.292 meq/l, Mg 0.345 meq/l to 0.354 meq/l and Sodium Adsorption Ratio (SAR)at the Pindol River varied from 1.76 meq/l to 1.84 meq/l.
Changing user needs and motivation to visit a website through ad experience: a case study of a university website
Authors: Budiman K , Akhlis I 
Published: June 2021

Abstract
An organization’s website is one of its most crucial part in supporting the success of an organization. It can be used as a media campaign and acquaintanceship. Because of its importance, then user engagement is needed. User engagement is a crucial mediator in the process of persuasion involving interactive media. The user’s engagement in building the organization’s website is still low, especially on the university website. In this article, we developed a university web with a push notification to attract the user. Push notification implies not only a change in the interface between users and technology; they also imply changing user dynamics and patterns of use. This article discussing the use of push notifications can change the interest and motivation of web users. The questionnaires analyzed with User Experience Questionare+(UEQ+) conducted on respondents identified that users’ motivation to open and contribute to revisit websites increases.
Combining caesar cipher and hill cipher in the generating encryption key on the vigenere cipher algorithm
Authors: Qowi Z , Hudallah N 
Published: June 2021

Abstract
There is a risk in the process of exchanging information, especially text information. To reduce that risk, one of cryptographic method can be applied. That is Vigenere Cipher algorithm. But the Vigenere Cipher algorithm have a weakness. The weakness is a repetitive encryption key. It causes the chipertext to be predictable with the Babbage-Kasiski method. By combining Caesar Cipher and Hill Cipher methods in the process of generating the encryption key, its expected to cover up the weakness of the Vigenere Cipher method. The combination has the capability to hide the character appearance’s frequencies.
Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang
Authors: Dewi N R , Listiaji P , Taufiq M , Savitri E N , Yanitama A , Herianti A P 
Published: June 2021

Abstract
Tracer study is a mechanism implemented by universities to track graduates to measure the relationship between educational goals and processes with the current condition of graduates. In addition, the results of the tracer study are also used as an assessment for higher education accreditation. For this reason, Department of Integrated Science, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang has developed a website-based integrated tracer study system. The system development method used is the Waterfall Model which consists of Requirement Analysis, Design, Development, and Testing. From the results of testing conducted by information systems experts, the system being developed is very feasible both in terms of functionality and usability. The website-based online system can handle graduate data management, able to provide all information about graduates and an overview to the Departmental Council regarding the competitiveness of graduates in the world of work. It is hoped that the tracer study system that has been developed can be continued to see how the competitiveness of graduates in improving department management.
Machine-learning algorithm for demand forecasting problem
Authors: Wiyanti DT , Kharisudin I , Setiawan AB , Nugroho AK 
Published: June 2021

Abstract
Numerous top algorithms for time series prediction issues have been proposed. Time-series prediction has stirred up wide attention in many research fields because it is an important direction of dynamic data analysis and processing. The prediction is used in a variety of practical situations, especially for the pressing demand for forecasting future data trends based on historical information. While demand forecasting remains a challenge, developments in machine-learning have provided dramatic improvements. In this article, we investigate the feasibility and comparative analysis of Deep Learning approaches to forecasting the demand problem with implementation to a public dataset. We use comparison with RMSE performance metrics to analyze the Deep Learning performance better than other model techniques, including Random Forest, Gradient Boosted Trees, and Support Vector Machine. However, the forecasting problem is a vital need for business decision making.
Mobile learning development using augmented reality as a biology learning media
Authors: Susilo A , Hardyanto W , Martuti N K T , Purwinarko A 
Published: June 2021

Abstract
The use of mobile technology changes our daily lives without exception in the learning process. The use of mobile in the learning process aims to change learning and teaching methods to be innovative through visualization techniques, thereby transforming students from passive learners to active students. One of the mobile learning methods that allow us to show a given subject’s visualization is Augmented Reality (AR). The use of AR as a supporting medium in studying biology subjects. AR development uses the Luther-Sutopo Multimedia System methodology. The results of this study are mobile-based learning media to visualize biology subjects using AR.
Analysis of image watermarking with a discrete wavelet transform for digital data security
Authors: Muslim MA , Dasril Y , Khusniati M , Subhan S 
Published: June 2021

Abstract
One of the ways to secure digital data is image watermarking. The method for image watermarking is used with discrete wavelet transform (DWT). The problem in this article is how the performance of DWT for image watermarking. The stages of the research method are: (1) Collecting the dataset that will be used as the trial host (2) Processing data with watermarking techniques, (3) Inserting data using DWT (4) checking the quality of each method, (6) analyzing the results each method. This research has revealed the stages of data security on image watermarking with DWT and the results show that the images provided with watermarking are well secured.
Convolutional neural Network-XGBoost for accuracy enhancement of breast cancer detection
Authors: Sugiharti E , Arifudin R , Wiyanti D T , Susilo A B 
Published: June 2021

Abstract
Computer programs can work by imitating the human brain to make decisions that can be used in the health sector. One of them is the Convolutional Neural Network (CNN) which is combined with XGBoost as the classifier. CNN-XGBoost can be implemented for the accuracy of early detection of breast cancer. The problem is how to improve the accuracy of breast cancer detection on mammogram images. The stages of the research method: (1) Collecting the MIAS 2012 dataset, (2) Dividing data into training data and testing data. (3) preprocessing: cropping, resizing, and reshaping. (4) Data Augmentation (5) Transfer Learning (6) Classification using CNN-XGBoost (7) Testing the accuracy. Based on the research that has been carried out, the results are: (1) Obtained data on the accuracy of using CNN-XGBoost on mammogram image analysis in early detection of breast cancer. (2) Further testing is needed to improve accuracy. Further testing is needed with the use of other method or by improving the quality of mammogram images.
The factors influencing labor supply (the case for worker with non-permanent mobility in Central Java Province, Indonesia)
Authors: Subanti S , Hakim A R , Pratiwi H , Lestari E P , Hakim I M 
Published: June 2021

Abstract
The study about the labor supply based on worker with non-permanent mobility is very interesting, because we can find several reasons such as flexible time, family reasons, cost of living, and others. From this paper, we try to find out the factors that influence the labor supply based on worker with non-permanent mobility. This paper uses Sakernas data and the Heckman two step estimation procedure. We found that the factor from education, age, marital status, and rural-urban influence on the labor supply for worker with non-permanent mobility in Central Java Province. We suggest that the government needs to improve public transportation facilities that are feasible, accessible, safe, comfortable, and friendly to the population. In addition, when developing each mode of transportation, the government also needs to consider the physical and mental capacity aspects of transportation users, especially for commuters.
Risk analysis of five stocks indexed by LQ45 using credible value at risk and credible expected tail loss
Authors: Sulistianingsih E , Rosadi D , Abdurakhman  
Published: June 2021

Abstract
Value at Risk (VaR) and Expected Tail Loss (ETL) are two risk measures that are used frequently to measure the investment risk. Even though VaR can estimate maximum loss when the investor holds a single asset in a particular period and interval confidence, the investor frequently develops a portfolio of assets. This condition can create shared risk among assets in the portfolio so that there will be a chance of an asset for getting loss caused by the other assets developing the portfolio. On the other hand, there is a fact that VaR cannot provide loss information at the tail loss part so that we also need ETL that can overcome this problem. Because of that reason, this paper uses Credible Value at Risk (CredVaR) and Credible Expected Tail Loss (CredETL), which are formulated based on the Buhlman credibility concept. Both methods can estimate an investment risk that can overcome the shortcoming of VaR and ETL that do not consider the risk among assets inside the portfolio. The application of both methods was utilized to evaluate the individual risk of each asset in a portfolio comprised of five stocks in the LQ-45 Index (period of February 2019 until July 2019). The data divided into ten periods of risk analysis comprises of ten-year daily data of each stock from June 2009 to May 2019. According to the result of the analysis, it can be concluded that both methods are powerful in measuring the risk.
SEIRS model analysis for online game addiction problem of mathematics students
Authors: Anwar Azwan , Syam Rahmat , Pratama Muh.Isbar , Side Syafruddin 
Published: June 2021

Abstract
The purposes of this research are to build a SEIRS model on the game online addiction problem, analyze the model and do a model simulation to predict the level of online game addiction of Makassar State University students. This research is a library research, population in this study is 655 undergraduate students in mathematics with a sample of 248 student. Data collection techniques using questionnaires. Analysis of the SEIRS model of online game addiction uses a generalization matrix, while the simulation model uses the MatLab Software. The results of this study are the SEIRS mathematical model of online game addiction which is a system of differential equations. Analysis of the model gives an addiction-free equilibrium value and a stable endemic equilibrium point. The results also found a baseline value of R0 = 0.033 which showed that the level of online game addiction cases in mathematics students is not worrying, meaning that students addicted to online games did not cause other students to become addicted. The simulation results explained that 49 students were susceptible to online game addiction, 220 students began trying to play online games, 2 students were trying to get addicted to online games, and 13 students were released from online game addiction. Based on the results obtained from the number addicted to online games students the first four years increase, then reduced and constant on the eighth month.
Analysis and simulation of mathematical model for typhus disease in Makassar
Authors: Nurhaeda  , Anas S , Side S 
Published: June 2021

Abstract
The aims of the research is to build a mathematical model for typhus; Analyse and determine the basic reproduction number of the model; model simulations to predict the number of Typhus cases in Makassar City. This stage of the study examines the mathematical model of Typhus transmission by including food and flies as variables, which are the Susceptible-Exposed-Infected-Recovered (SEIR) model; analysed the SEIR model using the matrix generation method, then the model simulation using Maple with secondary data on the number of Typhus cases in Makassar City obtained from the Makassar Health Office. The results obtained are the SEIR model for typhus transmission by including flies and food as a variable which is an eight dimension non-linear differential equation model. This study also provides the analysis results of the SEIR model that Makassar is not worried an area Makassar for Typhus disease, this means the disease Typhus still exists in Makassar, while the calculation results of the basic reproduction number is .R0=0.137≤1, it can be concluded that the spread of typhus in Makassar is at an alarming stage, because a person suffering from typhus does not cause another person to suffer from Typhus. Model simulation results can predict the number of cases of Typhus so that early prevention can be done immediately and become the government’s attention to prevent the spread of typhus in Makassar City
The comparison of descriptive statistical parameter estimation stability using raw scores and rasch model
Authors: Susongko P 
Published: June 2021

Abstract
This research aims at analyzing the comparison of descriptive statistical Parameter Estimation stability using raw scores and Rasch model. The empirical data were the responses of the 12th Grade Science Students of Senior High School on Science Literary Test based on the integrated mathematics and natural sciences conducted at SMAN 2 and SMAN 3 Tegal, Central Java. This research employed a bootstrapping method assisted with SPSS version 21, while the Rasch model was assisted with R program version 3.6.3 eRm package Version 1.0.1. The parameter stability estimation was seen from its error standard and bias scores. The scores using the Rasch model was proven giving higher stability when compared to that using the raw scores in its descriptive statistical parameter estimation both from its error standard and bias aspects. Based on the error standard used, it showed that the mean and the standard deviation estimation when using the Rasch model scores was around 8 times more stable when compared to that when using the raw scores, while its median estimation were 16-18 times. Due to the use of bias measurement, it showed that the mean estimation when using the Rasch model scores was 6-10 times more stable when compared to that using the raw scores, while its median estimation and standard deviation were respectively 43-282 times and 7-10 times more stable.
The accuracy comparison of the RK-4 and RK-5 method of SEIR model for tuberculosis cases in South Sulawesi
Authors: Ramadhan N R , Minggi I , Side S 
Published: June 2021

Abstract
This research discusses about the accuracy of the 4th and 5th order Runge-Kutta methods (RK-4 and RK-5) as a numerical solution in the Susceptible-Exposed-Infected-Recovered (SEIR) mathematical model of Tuberculosis (TB) transmission in South Sulawesi. The data used are secondary data on the number of TB patients in South Sulawesi sourced from the South Sulawesi Health Office. The research begins by further examining the SEIR model on TB transmission, then looking for general solutions of the SEIR model with the 4th-order and 5th-order Runge-Kutta methods, parameter determination, simulation and results analysis. In this research, the movement graph is obtained from the SEIR model with real data. After analysing the numerical simulation, the accuracy of the 4th-order and 5th-order Runge-Kutta methods is compared, then the two methods are compared to observe a more accurate method. The result of this research shown that the simulation of SEIR model is accurate to predict TB cases in South Sulawesi. The Runge-Kutta method can used to observe trends in the spread of TB in South Sulawesi. The numerical simulation shown that the 5th-order more accurate than the 4th-order Runge-Kutta methods. The results of the modelling are simulated using Maple can predict the number of TB cases which can be used by the government as a consideration to prevent the spread of TB in South Sulawesi.
SEIAS-SEI model on asymptomatic and super infection malaria with imperfect vaccination
Authors: Maryam H , Abdy M , Alimuddin  , Side S 
Published: June 2021

Abstract
The aims of this research are to build a model of SEIAS-SEI on the spread of malaria; analysing the model; and conducting simulations to predict the number of cases of malaria in disease-free and endemic cases. This research is a theoretical study. This model uses suspected, exposed, infected and acute compartments. Analysis of the model using the matrix generation method, the data used in the simulation is an assumption data to cover the disease-free and endemic malaria cases and the model simulation using Maple. The results obtained are models of SEIRS-SEI in malaria deployments; model analysis generates equilibrium points and basic reproductive numbers to determine the status of malaria deployments in a region. Simulated results provide a sense of the difference between disease-free State and endemic is that there is a decrease in the number of infected and asymptomatic individual groups. In endemic cases, a decrease in the number of infected and asymptomatic individual groups in malaria spread takes a long time. In contrast to disease-free cases, a decline in the number of infected and asymptomatic individuals may take a short time.
Perception and understanding of Madrasah Tsanawiyah teachers on numerical literacy in mathematics learning
Authors: Sayekti I , Sukestiyarno YL , Wardono  , Dwijanto  
Published: June 2021

Abstract
Numerical literacy is an ability that equips students with the ability to apply the concept of numbers, calculated operation skills and the ability to interpret quantitative information However, those skills have not received much attention. Understanding of numerical literacy needs to be built, starting with teachers as leader of learning proses in schools. Therefore, this research aims to explore the perception and understanding of teachers on numerical literacy on mathematics learning. It can be used asthe basis for the development of relevant, applicative and comprehensive learning models. This research is an observational research conducted on 33 mathematics teachers in Central Java. The data was obtained during July-August through an online interview. The data was analyzed qualitatively descriptively. The results founded 24 people or 72.73% had never received literacy training, and only 5 respondents had literacy. In addition, only 48.49% of total respondents understood numeration literacy and only 21.21% of total respondents applied it in math learning. Interesting facts have been found when all teachers have used learning media from concrete examples in environments such as interpreting integers using thermometers; measuring flagpoles with Pythagoras; and classrooms and tubes to calculate surface area and volume. But respondents assumed that what they were doing was not part of numeration literacy.