bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of information technology and communication-based lesson study on mathematics problem-solving ability
Authors: Bintoro H S , Zaenuri  , Wardono  
Published: June 2021

Abstract
The purpose of this research is (1) to test whether there was a difference in the average students’ mathematical problem-solving abilities before and after implementing information and communication technology-based lesson studies and (2) to test whether students’ mathematical problem-solving abilities after learning through the application of technology information and communication-based lesson study to achieve learning completeness. This research was an experimental type using a quasi-experimental design and refers to the one group’s pretest-posttest design. The population in this research were students of the Mathematics Education study program Universitas Muria Kudus. The sample of this research is the first semester students. The test technique is used as a research data collection technique. Technique tests are carried out to measure students’ mathematical problem-solving abilities. The data analysis in this research includes the sample group average difference test and learning mastery test. Based on the data analysis, the results of the mathematical problem-solving ability after implementing lesson study based on information and communication technology are better than before applying and the mathematics problem-solving ability of students after learning through application after implementing lesson study based on information and communication technology reaches learning completeness.
Implementation of Learning Management System (LMS) in mathematics learning
Authors: Hadi T S , Mastur Z , Wardono  , Khotimah  
Published: June 2021

Abstract
The world of education during a pandemic is forced to use an online learning system. This is evidenced by the issuance of regional and central regulations relating to online learning rules. There are many platforms that can be used to do online learning, one of which is edmodo. The edmodo platform can be used more flexibly with the help of laptops and cellphones that students often use, besides that, it does not require much quota. The research method used is a mix method by combining quantitative and qualitative methods. The population of this study is students from University of Serang Raya. The object of the research was students of civil engineering, unsera in engineering mathematics courses. The result of this research is that the experimental class is better than the control class in terms of the mean value. The application of learning uses a learning management system, namely students upload assignments, download material, collect assignments and ask questions in the comments column related to the material provided by the lecturer.
Implementation of TTW and TPS learning models to mathematics learning outcomes in terms of students’ mathematical communication ability
Authors: Kusuma A P , Zaenuri  , Wardono  
Published: June 2021

Abstract
The goal of this study was deciding if the learning model has an impact on the achievement of mathematics learning in terms of student communication abilities in mathematics. The models being compared are the Think Talk Write learning model, the Think Pair Share model, and direct learning. The analysis used a quasi-experimental testing procedure. The population is all students of class VIII SMPN Wonosobo Regency in the academic year 2018/2019. The sample consisted of 269 students and was divided into three groups: 90 in the first experimental class, 91 in the second experiment class and 88 as the control class. The data of the study were analyzed using a two-way analysis of variance with unbalanced cells. The TTW learning model produces effective instruction in mathematics than the TPS and direct learning paradigm, and the TPS learning model produces better mathematics learning achievement than the direct learning model. These results show the same results for each group of communication abilities in mathematics. 2) Students with high mathematical communication abilities better math performance than middle and low income student mathematics communication abilities, and students with moderate communication abilities in mathematics have better learning performance as students with poor and intermediate mathematics communication abilities. low communication abilities in mathematics.
Students’ proportional reasoning in solving non-routine problems based on mathematical disposition
Authors: Izzatin M , Waluya SB , Rochmad  , Kartono  , Dwidayati N , Dewi NR 
Published: June 2021

Abstract
Proportional reasoning is the important process in solving social arithmetic problems. A students’ successes in solving mathematical problem is also determined by affective abilities, one of which is a mathematical disposition. This study aims to describe the students’ proportional reasoning in solving non-routine problems based on mathematical disposition. This research is a qualitative study by conducting an in-depth analysis of the proportional reasoning ability of students in students with high, medium, and low mathematical dispositions. The research instrument used was a problem solving ability test, a mathematical disposition scale, and an interview guide. The result shows that in solving non-routine problems, students with high mathematical disposition have mathematical reasoning abilities at level five (Functional and Scalar Relationships), students with moderate mathematical disposition at level four (Accomodating Covariance and Invariance), and students with low mathematical disposition at level five one (Qualitative). Thus it can be concluded that the higher the mathematical disposition of students, the proportional reasoning in solving non-routine problems will be better.
Ethnomathematics exploration in the remote areas
Authors: Dwidayatiand N , Zaenuri  
Published: June 2021

Abstract
The research objective is to explore ethnomatematic forms in the remote areas. The research was conducted in the Karimunjawa Islands, Jepara Regency. Data were collected using observation and interview methods. The observations were focused on the existing house buildings on Karimunjawa and Kemujan Islands. Data were analyzed descriptively. The results showed that the houses built by the Bugis who live on the island of Kemujan were very ethno-mathematical. The structure of the house on stilts contains the concept of symmetry. Window and door accessories contain various concept shapes.
Statistic literation profile viewed from thinking level Middle Order Thinking Skills (MOTS)
Authors: Hidayati N A , Waluya S B , Rochmad  , Sukestiyarno Y L , Suyitno H , Walid  
Published: June 2021

Abstract
Purpose of this study is to describe the statistical literacy skills of prospective teacher students in terms of Middle Order Thinking Skills (MOTS). Students should have basic statistical competence so that they can respond, understand, analyze, interpret, and make conclusions about various information related to statistics and can give meaning to problems raised through statistical information in various literacy media. The level of MOTS thinking in bloom revision taxonomy includes remembering (C1), applying (C2) and understanding (C3). This research is a qualitative research. The subjects of this study were students of mathematics education study programs who took statistics statistics. Researchers developed a statistical literacy ability test that would measure competencies in terms of the level of thinking of MOTS, namely: understanding statistical concepts, insight into statistical concept applications, numeracy skills and the ability to present statistical data. The test instrument is then given to the research subject and analyzed descriptively. The results showed that the statistical literacy ability of students in terms of MOTS showed that 19% in the low category, 28.6% in the Medium category and 52.4% in the high category
Mathematical problem-solving ability based on self-efficacy in junior high school
Authors: Fatmasari H R , Waluya S B , Sugianto  
Published: June 2021

Abstract
Problem-solving ability is one of the standard mathematical abilities that students must have. This ability can be mastered well by students if students have affective abilities, one of which is self-efficacy. The aim of this research is to determine the ability of junior high school mathematics problem-solving based on student self-efficacy. Descriptive qualitative research is the method approach used in this research. The research subject is one student who represents the levels of self-efficacy. The results showed that students with high self-efficacy were able to master four indicators of mathematical problem-solving, students with self-efficacy were mastering three indicators, and students with low self-efficacy were only able to master one indicator. The conclusion of this research are students who have high self-efficacy are able to solve problems according to the indicators of mathematical problem-solving abilities compared to students who have medium and low self-efficacy, because students with high self-efficacy are more can to withstand math problems and do not give up hope in meeting failure. Meanwhile, students with moderate and low self-efficacy are able to solve all problems but are less able to meet the problem-solving ability indicators because they have doubts and give up easily in solving math problems.
The influence of self-directed learning on mathematical problem solving ability in problem-based learning with ethnomathematics nuances
Authors: Amidi  , Zahrona S Z , Chaniago A F 
Published: June 2021

AbstractThe ability that students need in problem solving is self-directed learning which is the ability to determine the learning objectives to be achieved by paying attention to their learning conditions and needs, determining the appropriate learning method of the learning material they want to study, and determining the evaluation methods to assess their learning progress and observe the rapidity of learning according to their respective ability. This research aimed to analyze the effect of self-directed learning on students’ mathematical problem solving ability in ethnomathematics problem-based learning model with Whatsapp group. This research used a combination of quantitative and qualitative methods. The model used in this research was a sequential explanatory model with a posttest-only control design. There were two groups in this research, namely the experimental group and the control group. Randomized class technique was used by the researchers to determine sample of two groups selected from a homogeneous population. The subjects in this research were determined using purposive sampling technique. The results showed that self-directed learning affected students’ mathematical problem solving ability in problem-based learning with ethnomathematics nuances assisted by Whatsapp groups. It was based on the students’ achievement in three self-directed learning categories, namely high category with three indicators, medium category with two indicators, and low category with one indicator.
Calcu card: Developing augmented reality-based learning media on the three-dimensional shapes with curves lesson for junior high school student
Authors: Majid A F , Ichiana N N , Yuliany N , Angriani A D , Hafsyah  , Kusumayanti A 
Published: June 2021

Abstract
This study aims to: 1) produce Augmented Reality-based Calcu Card learning media on the Three-Dimensional Shapes with Curves lessons that are valid, practical, and effective, 2) test the suitability of applying the learning media to determine the application effect. The subjects of study were 9th Grade Student of SMP Pesantren Guppi Samata. The development model was using the PIE development model or plan, implement, and evaluate. Meanwhile, the data to be collected were in the form of questionnaires and learning outcomes tests. This research was carried out in 2 ways, namely first a small-scale test for the 9th Grade Student, then a large-scale test for 9th Grade Student of SMP Pesantren Guppi Samata, they were 20 students. The results showed that the average validator’s assessment of the Calcu Card application was 3.25. Based on the student assessment, it can be obtained that the average response of students through a questionnaire to the Calcu Card application was 3.19. Furthermore, the percentage of students ‘completeness was 75% while the percentage of students’ incompleteness was 25%. Therefore, it can be concluded that the Augmented Reality-based Calcu Card learning media is suitable for 9th Grade Student of SMP Guppi Samata by meeting the criteria of validity, practicality, and effectiveness.
The effectiveness of project-based learning assisted by digital module toward mathematical connection ability
Authors: Kusnandar  , Junaedi I , Suyitno A 
Published: June 2021

AbstractThe aim of the study is to analyze the effectiveness of Project-Based Learning assisted by digital module in increasing students’ mathematical connection ability. The study was conducted using quantitative method with quasi experimental design. The study population was the mathematical connection ability of grade XI students of SMK Negeri 1 Kandeman with the mathematical connection ability of students of grade XI TAV 1 and XI TITL as the sample. The result showed that Project-Based Learning assisted by digital module was effective in increasing students’ mathematical connection ability. Learning is carried out through virtual meeting. The digital module contains the design of student activities in the implementation of Project-Based Learning according to indicators of the mathematical connection ability. The learning activity was recorded and a link to access the recording was shared to students so that it could be used as learning material.
Development of learning media for earth physics based on augmented reality as an interactive learning media
Authors: Purwinarko A , Hardyanto W , Adhi M A 
Published: June 2021

Abstract
Augmented Reality (AR) technology has been applied in various fields, including education. One of the courses that can apply AR technology is the earth physics course. The use of AR as a supporting tool can help visualize things that cannot be seen directly in their form to improve learning that is directly difficult to imagine. AR supports studying complex subjects, in particular, geology and geophysics as part of earth physics. AR development using the Rapid-Application Development (RAD) technique. The results of this study are mobile-based learning media to visualize geology and geophysics subjects using AR.
E-boarding KAI access summative usability analysis with adoption of USE questionnaire
Authors: Citra W , Mustika K D , Thya S S , Yulita W I 
Published: June 2021

Abstract
PT Kereta Api Indonesia (KAI) is a State-Owned Enterprise that regulates and manages railroad transportation services in Indonesia. PT KAI focused on becoming the best railroad service provider by meeting stakeholder’s expectations. In its development, PT KAI launched the KAI Access Application in 2014. KAI Access is an Official Mobile Application to help prospective passengers obtain information and make train ticket reservations online. E-Boarding Pass is one of the features in the KAI Access application that can be operated two hours before the train departure schedule. Summative usability analysis is applied to measure the level of compatibility between the functional system and its focus. This study uses the USE Questionnaire Method as a parameter in usability measurement. The assessment criteria used are usefulness, ease of use, ease of learning, and satisfaction. The results showed that usability was in the “high” standards with a value of 79.6%. The study conducted in 9 Indonesian Railroad Operation Areas (DAOP) of PT KAI with the results of the usefulness criterion 80.9%, the ease of use criterion 77.7%, the ease of learning criterion 80.4%, and the satisfaction criterion 79.4%.
Strategy for assessment the competence of human resources in the information and communication technology sector
Authors: Priyantoro T 
Published: June 2021

Abstract
Increasing the competence of Human Resources (HR) in the utilization of Information and Communication Technology (ICT) following the Indonesian National Work Competency Standards (SKKNI) is a demand for the development of ICT that is very rapid at this time. To determine the effect of competencies, an objective and efficient assessment strategy is needed. The Profile Matching method can be applied in the assessment because it has a decision-making mechanism that assumes that there is an ideal level of predictor variable that must be owned, so identification can be made using several evaluation criteria, and profiles will be found that will be adjusted to the expected ideal shape.
Identification of diseases in tomato leaves using convolutional neural network and transfer learning method
Authors: Alim M M F , Subiyanto  , Sartini  
Published: June 2021

Abstract
The high market demand for tomatoes required high productivity in the agricultural sector. Plant disease is a threat that obstructs tomato production. Disease control is essential to prevent crop failure. Automatic identification is highly recommended for agriculture applications. Inspired by the recent successes research of deep learning for identification, this study applied a computer vision method for identifying tomato plant diseases. This paper adopted a Convolutional Neural Network (CNN) algorithm with the transfer learning approach to identify tomato plant disease. The CNN models such as VVG, ResNet, and DenseNet have been compared to identify and classify tomato plant diseases. The experiments were carried out using a PlantVillage dataset, with 22930 images of tomato leaves diseases and consists of 10 classes. The best model is achieved by ResNet-50 with accuracy, precision, recall, fl-score, and AUC 96.16%, 97%, 96%, 97%, and 97.92%, respectively. The experimental results proved that CNN models could be a useful tool in identifying tomato plant disease.
Clustering of potencial customer in digital trade transaction
Authors: Purwanto E , Long Z A , Mohd F 
Published: June 2021

Abstract
The growth of digital trade transaction data in Indonesia is very rapid. Retail ecommerce in Indonesia is currently growing rapidly although it is still smaller than other countries, growing by around 30% every year for the last five years. Customer grouping is carried out based on different types of customer data, including customer value data, customer profile data, customer transaction data, and customer purchase order data. In the following sections, we briefly introduce each type. This study used data mining that was collected from potential customers by online questionnaires. The customer set data used were 309 respondents. The data collection that the authors do it by distributing questionnaires online through Google form. Clustering process used neural network algorithm. The competitive network used data clustering. The research result based on the results of data collection, the data grouping can be obtained with cluster 3 epoches 1000 data with kohonen parameter 0.01 and cluster 3 epoches 1000 data with kohonen parameter 0.01.
Quality assurance testing to improve the quality of human resource management system
Authors: Jamali N , Sagirani T 
Published: June 2021

Abstract
Developing a Human Resource Management System has minimum requirements that are needed to be fulfilled, which are software that can do and manage the schedule, roles, positions, attendance, leave, company’s bulletin, and employee tracking. Human Resource Management System in its development concerns its quality, which one of the attempts in confirming the launched quality software is doing the quality assurance test. The quality assurance testing is needed to verify the application developed has been qualified to why launched the software. The quality assurance testing will provide several recommendations by giving information to detect system errors, providing information to prevent system errors from recurring, knowing the system’s capability limits, and providing product quality information. This study conducted quality testing for a human resource management system for 62 test cases, including nine modules and two non-functional requirements.
Video scene change detection based on histogram analysis for hiding message
Authors: Fuad M , Ernawan F , Hui L J 
Published: June 2021

Abstract
The rapid growth of internet technology has greatly increased the opportunity for secrecy communication. Most of communications implemented compression method in digital applications due to fast transferring data in the limited bandwidth. In addition, the information can be changed by a third party in communication. This paper proposed a new hiding technique by modifying DCT coefficients in the video frames. The scene changes of the video data are identified based on histogram analysis for hiding locations. Scene changes among video frames are detected by measuring the significant difference of histogram analysis. The proposed hiding technique in video is also evaluated against MPEG-4 compression. The experimental results show that the proposed scheme achieved high imperceptibility with minimum visual distortion on the video quality. The proposed hiding scheme also can recover the concealed data from the compressed video. The results show that the extracted hidden message is able to resistant against MPEG compression.
Bank predictions for prospective long-term deposit investors using machine learning LightGBM and SMOTE
Authors: Muslim M A , Dasril Y , Alamsyah A , Mustaqim T 
Published: June 2021

Abstract
Banks try to get profit from society in various ways. One way is to use long-term deposit investment offers. If the product offering process for potential investors is not carefully considered, it will waste resources. Therefore, this study analyzes the accuracy of the predictions of consumers who have a high chance of participating in this program. The dataset used is historical bank data provided by Kaggle. In previous research, accuracy prediction has been carried out, but the accuracy is still low because it does not use a method to balance the class. Better accuracy can be improved using LightGBM and SMOTE methods. The test results with the number of testing data as much as 6590 and training data as many as 32950 show the highest accuracy of 90.63%.
Accuracy enhancement in face recognition using 1D-PCA & 2D-PCA based on multilevel reverse-biorthogonal wavelet transform with KNN classifier
Authors: Dinariyah I , Alamsyah  
Published: June 2021

Abstract
Face recognition is a physical biometric technique that allows computers to recognize human faces. Currently, face recognition is widely used in the authentication security system. Accuracy improvement in face recognition can be made by doing image decomposition using multi-level reverse biorthogonal wavelets. Composed image features will be extracted using 1D-PCA and 2D-PCA. Face classification was carried out by using the K-Nearest Neighbor algorithm. Furthermore, the face recognition accuracy results using and without the wavelet decomposition will be compared. This research used 565 images in which 400 face images are obtained from the AT&T database, and 400 face images are obtained from the YALE database. This study revealed that the highest accuracy in face recognition using AT&T is98.75% which obtained by 60% training images and 40% testing images, while in face recognition using YALE highest accuracy is obtained on face recognition using 90% training images and 90% testing images with 100% accuracy.