Reviewerly/exHarmony huggingface dataset:
Tingkat kemampuan literasi digital peserta didik kelas V SD se-Kecamatan Laweyan

&lt;p class="15"&gt;The purpose of this study was to determine the level of digital literacy of fifth grade elementary school students in Laweyan District. The research method used is quantitative. The sample of this study was 86 students from 4 elementary schools in Laweyan District, class V. The data collection technique used is a test. Data analysis used descriptive statistical analysis. The results of this study are that the digital literacy level of fifth grade elementary school students in Laweyan District is mostly in the high category, which is 50%. Meanwhile students with very high category were 31.4%, low category were 1.2%, medium category were 17.4%. This research can be used as a reference to measure the level of digital literacy of students.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Analisis penggunaan media buku cerita bergambar pada pembelajaran bahasa indonesia di kelas II sd

&lt;span class="fontstyle0"&gt;The purpose of this study was to describe the use of picture story books in&lt;br /&gt;Indonesian language learning in class II SD N 1 Dawuhan Purbalingga. This type of research&lt;br /&gt;is a qualitative research. Subject selection technique using purposive sampling technique. The&lt;br /&gt;research subjects were class II students and class II teachers at SD N 1 Dawuhan&lt;br /&gt;Purbalingga. Sources of data come from students and teachers of class II. Data collection&lt;br /&gt;techniques using interviews, observation and documentation. Data validity uses triangulation&lt;br /&gt;techniques. Data analysis used Miles and Huberman analysis techniques. The research&lt;br /&gt;procedure carried out is to reduce data, present data, and draw conclusions. Aspects of the use&lt;br /&gt;of picture story media include the relevance of media use, ease of use, the usefulness of media,&lt;br /&gt;the ability of teachers to use media, and the availability of media. The results showed that&lt;br /&gt;picture story books are relevant with basic competencies, objectives, and materials, easy to&lt;br /&gt;use, useful, teachers are able to use media, and are available. From the results of the study it&lt;br /&gt;was concluded that the learning media for picture books is an appropriate learning media for&lt;br /&gt;Indonesian language learning in class II SD N I Dawuhan Purbalingga. The theoretical&lt;br /&gt;implication of this research is to find out the usefulness of using picture story books in&lt;br /&gt;Indonesian language learning.&lt;/span&gt;
Penggunaan Aplikasi Canva dalam Media Pembelajaran Matematika di Sekolah Dasar

&lt;p align="justify"&gt;&lt;em&gt;This literature review is to analyze scientific articles related to the effectiveness of using Canva as a learning medium for students, especially in mathematics. Canva is a free platform that provides graphic design. The method used is the literature review method which is sourced from articles in Google Scholar. The scientific articles used in this literature review are within the last 5 years (2018-2022). Today's learning does not only utilize objects that can be found in the environment around us but can take advantage of the digital world. Canva is an application that can be used in the process of making mathematics learning media that really needs media to convey messages from abstract learning material content. The Canva application provides a variety of interesting features that can make it easier for teachers to create learning media, one of which is the availability of various templates that can be used in the process of designing learning media, one of which is elementary mathematics. The research implementation uses the literature review method through the process of placing, obtaining, reading, and evaluating various research literature related to or related to the problem to be studied. The data described are the results of research regarding the effectiveness of using the Canva application that has been carried out by previous researchers.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Efektivitas buku cerita berbasis tradisi rembang untuk peningkatan keterampilan membaca siswa pada pembelajaran bahasa indonesia

&lt;p align="justify"&gt;The background of this research is because the learning media for reading in grade IV SD is not interesting enough so that children get bored. The teacher's creativity in making or determining learning media does not suit children's interests. Lack of student motivation when participating in learning activities on improving reading skills. The use of learning media is not optimal. The unavailability of teaching materials for Rembang Tradition-Based Storybooks to improve reading skills for Grade IV SD students. The research method is quantitative research in the form of experimental research. Data collection techniques with tests. The research subjects were fourth grade students at SDN Mojokerto, SDN 1 Karangharjo, SDN 2 Karangharjo. Sampling method with purposive sampling. Data analysis using the Paired Sample Test. The results of the analysis of the effectiveness of the pre-test was 21.85 and the post-test was 33.80 with a sig value of 0.000 &amp;lt;0.05, indicating an influence on effectiveness. The conclusion of this study shows that the development of storybooks based on the Rembang tradition is effective for improving students' reading skills in learning Indonesian.&lt;/p&gt;
Upaya Meningkatkan Keterampilan dan Prestasi Belajar Siswa dengan Metode Make a Match dan Picture and Picture pada Mata Pelajaran IPS Kelas I Sekolah Dasar

&lt;p class="Abstract"&gt;The purposes of this research are describing the learning with Make a Match and Picture and Picture Methods and analyzing the improvement of the learning achievement about Family Tree and Kinship in Social Science with Make a Match and Picture and Picture Methods on the First Grade Students of Sukoharjo General Elementary School, First Semester of 2017/2018 Academic Year. This research is a Classroom Action Research (CAR), occurred on august 2017. The subjects of this research are 19 students; consist of 11 boys and 8 girls. The results of this research are the learning on the small groups and match the pair of the cards correctly and the learning achievement improved, from average on 59,47 and completeness on 26,31% into average on 83,15 and completeness on 94,73%.&lt;/p&gt;
Pengaruh penggunaan lembar kerja siswa (LKS) terhadap hasil belajar tema 4 siswa kelas V SD Se-Gugus IV Ngurah Rai

This study aims to determine the effect of the use of student’s worksheet on learning outcomes theme 4 in Grade V Odd Semester students. This study is a quasi-experimental study with non- equivalent control group design. The population of this study were students of Grade V Elementary School in Cluster IV District Laweyan, Surakarta. The sample used two elementary schools: SDN Bumi 1 Surakarta as experimental class and SDN Pajang IV as control class. The data of this study used a test instrument learning outcomes theme 4 in the form of objective tests. The test results were then analyzed by testing the paired sample t test. The results of the paired sample t test showed that the experimental group output obtained 0.000 &amp;lt; 0.05 which means there is a difference in the average learning outcomes in pre-test with post-test, while the control group output obtained 0.347 &amp;gt; 0.05 which means there is no difference in the average student learning outcomes for pre-test with post-test. Based on the results it can be concluded that there is an influence between the use of student worksheets on the learning outcomes of theme 4 V SDN Bumi 1 academic year 2021/2022.
DEVELOPMENT OF BLENDED LEARNING ON ENGLISH LEARNING OUTCOMES IN PJKR STUDY PROGRAM

This study aims to determine the development of blended learning on the results of learning English in PJKR study program. The method used in this research is quasi-experimental or quasi-experimental. The quasi-experimental method is different from the actual experiment. In the quasi-experimental method, it has a control group. The sampling technique used in this research is cluster sample or called group sample. Data collection is the most important part of research. Effective and complete data determine the quality of researchers. In this study the authors used the learning achievement test technique, test, observation and documentation. Based on the results of the research that had been done, the size of the concentration and distribution of the pretest result data for the experimental group were: the largest score was 75 and the smallest score was 36, the mean (mean) was 51.67 , the median is 52, the mode is 40.5 and the standard deviation is 11.91. While the posttest data results, the highest score was 91 and the lowest score was 45, the mean (mean) was 72.8, the median was 76.9, the mode was 77.6 and the standard deviation was 15.58. So, the objectives to be achieved in the learning design have been implemented for that, the blended learning model is able to influence student learning outcomes in English.
AN ANALYSIS OF STUDENTS' ABILITY IN WRITING NARRATIVE TEXT IN ENGLISH ONLINE LEARNING OF THE TENTH GRADE SMKN 1 PACITAN

Writing is one type of skill that students must master. Based on the research of the researcher, this issue had not been investigated by others. The objectives of the research are to find out the dominant problem found in the writing ability indicators. In this research, the researcher used the qualitative descriptive method. The data collecting techniques used in this research are tests and interviews. Subjects of this research were 29 students of X TB 1 at SMKN 1 Pacitan. This research finding showed that the mean score of students' writing ability is 61.55. The researcher showed that the X TB 1 SMKN 1 Pacitan has a fairly good competence from their ability to write narrative texts in learning English. As a result of the test, there were 5 students (25%) who got score 70- 84 (Good to Average), 10 students (50%) got to score 55-69 (Fair to Poor), 5 students (25%) got to score 25-54 (Very Poor). Most of them cannot write the correct spelling, using punctuation and capital letters. Students cannot have good ideas, lack motivation, lack support from parents so that students do not have the determination to reach better grades. Students are not interested in writing narrative text. Based on the results, the researcher would like to suggest that teachers pay closer attention to improving the process of teaching writing English. Students are expected to be more active in participating in activities to improve their writing skills during and outside the classroom.
AI Struggles with Fair Use

As it moves from research to commercialisation, advanced machine learning faces copyright headaches.
Learning with Errors

Large-language models threaten to upend software and hardware development as we know it, but can they really deliver the goods? CHRIS EDWARDS investigates
Improving students vocabulary through hyponym game: A study of English in junior high school

The purpose of this study was to determine the effectiveness Hyponym Game in improving students vocabulary mastery. The research was conducted in SMP Muhammadiyah 01 Sukajaya. The sample of this study was 7th-grade students. This class consisted of 30 students. The method used in this study was quantitative method with pre-experimental design and one group pre-test and post-test design. The result of this research explained that students pre-test score was 54 and after treatments by using Hyponym Game, students post-test score was 74.73. The results of pre-test and post-test were calculated by using a t-test. The writer determined that using Hyponym Game is effective to enrich students vocabulary mastery.
MICE Implementation to Handle Missing Values in Rain Potential Prediction Using Support Vector Machine Algorithm

Support Vector Machine (SVM) is a machine learning algorithm used for classification. SVM has several advantages such as the ability to handle high-dimensional data, effective in handling nonlinear data through kernel functions, and resistance to overfitting through soft margins. However, SVM has weaknesses, especially when handling missing values in data. The use of SVM must consider the missing values strategy chosen. Missing values in data mining is a serious problem for researchers because it causes many problems such as loss of efficiency, complications in data handling and analysis, and the occurrence of bias due to differences between missing data and complete data. To overcome the above problems, this research focuses on understanding the characteristics of missing values and handling them using the Multiple Imputation by Chained Equations (MICE) technique. In this study, we utilized secondary data experiments that contain missing values from the Meteorological, Climatological, and Geophysical Agency (called BMKG) related to predictions of potential rain, especially in DKI Jakarta. Identification of types or patterns of missing values, exploration of the relationship between missing values and other variables, incorporation of the MICE method to handle missing values, and the Support Vector Machine Algorithm for classification will be carried out to produce a more reliable and accurate prediction model for rain potential. It shows that the imputation method with the MICE gives better results than other techniques (such as Complete Case Analysis, Imputation Method Mean, Median, Mode, and K-Nearest neighbor), namely an accuracy of 89% testing data when applying the Support Vector Machine algorithm for classification.
Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model

Biclustering come in various algorithms, selecting the most suitable biclustering algorithm can be a challenging task. The performance of algorithms can vary significantly depending on the specific data characteristics. The Plaid model is one of popular biclustering algorithms, has gained recognition for its efficiency and versatility across various applications, including food security. Indonesia deals with complex food security challenges. The nation's unique geographic and socioeconomic diversity demands region-specific food security solutions. Identifying province-specific food security patterns is crucial for effective policymaking and resource allocation, ultimately promoting food sufficiency and stability at the regional level. This study assesses the performance of the Plaid model in identifying food security patterns at the provincial level in Indonesia. To optimize biclusters, we explore various parameter tuning scenarios (the choice of model, the number of layers, and the threshold value for row and column releases). The selection criteria are based on the change ratio of the initial matrix's mean square residue to the mean square residue of the Plaid model, the average mean square residue, and the number of biclusters. The constant column model was selected with a mean square residue change ratio of 0.52, an average mean square plaid model residue of 4.81, and it generates 6 overlapping biclusters. The results show each bicluster has unique characteristics. Notably, Bicluster 1 that consist of 2 provinces, exhibits the lowest food security levels, marked by variables X1, X2, X4, and X7. Furthermore, the variables X1, X4, and X7 consistently appear across several biclusters. This highlights the importance of prioritizing these three variables to improve the food security status of the regions.
The MODWT-ARIMA Model in Forecasting The COVID-19 Cases

The Maximal Overlap Discrete Wavelet Transform-Autoregressive Integrated Moving Average (MODWT-ARIMA) is a forecasting method that uses the ARIMA model generated from MODWT data. The purpose of this study is to analyze an investigation into the MODWT-ARIMA model with regard to the total number of COVID-19 cases in DKI Jakarta. For this study, daily data on cases of Covid-19COVID-19 in DKI Jakarta were obtained. The model is trained with data from April 3, 2022, to June 11, 2022 (referred to as the "in-sample"), and the outcomes of the prediction are tested with data from June 12, 2022, to June 18, 2022 (referred to as the "out-sample"). These data exhibit trends and are organizedorganised into four data series using MODWT. The ARIMA modelling technique is applied to each of the produced sequences. When using the MODWT-ARIMA approach, the RMSE value obtained from the in-sample data is found to be lower than the RMSE value obtained from the out-sample data. In light of the findings, Iit t became clear that MODWT-ARIMA is better suited for estimation than prediction. The fact that the RMSE value for the data acquired from the in-sample is lower than the RMSE value for the data collected from the out-sample demonstrates that this is the case.
Numerical Solution of the Advection-Diffusion Equation Using the Radial Basis Function

The advection-diffusion equation is a form of partial differential equation. This equation is also known as the transport equation. The purpose of this research is to approximatio the solution of advection-diffusion equation by numerical approach using radial basis functions network. The approximation is performed by using the multiquadrics basis function. The simulation of the numerical solution is run with the help of the Matlab program. The one-dimensional advection-diffusion equation used is ∂u/∂t+C ∂u/∂x=D (∂^2 u)/(∂x^2 ) with given initial conditions, boundary conditions, and exact solution u(x,t). The numerical solution approximation using the radial basis function network with dt=0.004 and dx=0.02 produces the value at each discretization point is close to the exact solution. In this study, the smallest error between numerical solution and the exact solution is obtained 2.18339 ×〖10〗^(-10).
Development of an E-Pocketbook to Develop Critical Thinking Skills and Problem-Solving Ability

Learning by utilizing technology-based media that is easy to use and attractive to students is necessary in this era. However, technology in school learning still uses static PowerPoint media, which is less attractive to students. Therefore, it is necessary to develop e-pocketbook media as an alternative learning media that is interesting and easy for students. This study aims to: (1) Describe the validity of developing E-Pocketbook media to develop critical thinking skills and problem-solving abilities; (2) Describe the effectiveness of developing E-Pocketbook media to develop critical thinking skills and problem-solving abilities; and (3) Describe the practicality of the development of E-Pocketbook media to develop critical thinking skills and problem-solving abilities. The research was conducted at SMPN 1 Batu with 22 class VIII students as subjects. The characteristics of critical thinking skills and problem-solving abilities are classified as low because the learning media is less supportive. This research is a type of development research (Research and Development) using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The approach used is a qualitative descriptive method approach. The results of this study are that e-pocketbooks get a validity value that fulfills the 'valid' category, namely 79.77.91% for media, the value of effectiveness that meets the 'effective' category according to the n-gain test is 0.87 for critical thinking skills, and 0.84 for problem-solving, the value of practicality that fulfills the 'practical' category is 87.22%.
Classification of Hypertension in Pregnant Women Using Multinomial Logistic Regression

Maternal Mortality Rate (MMR) is still a crucial problem in Indonesia and other developing countries; one of the causes is Hypertension in Pregnancy (HDK). This study aims to classify hypertension in pregnant women based on the factors that influence it, with a case study of patients from the Obstetrics and Gynecology Specialist Clinic at the Regional General Hospital (RSUD) Dr. R. Sosodoro Djatikoesoemo Bojonegoro. The variables used were age, gravidity, gestational age, obesity, history of abortion, hypertension, and diabetes mellitus. The research method used in this study is multinomial logistic regression because it uses four categories of dependent variables, namely pregnant women without hypertension, pregnant women with chronic hypertension, pregnant women with gestational hypertension, and pregnant women with preeclampsia. The results obtained in this study were from 3 categories of hypertension in pregnant women; the influencing factors were obesity, gestational age &gt; 36 weeks, having a history of hypertension, and diabetes mellitus, with the resulting model classification accuracy value of 79.6%, which means the classification is classified as good. This research contributes to applying statistical methods in the health sector and as a mitigation effort to help minimize the number (prevalence) of maternal deaths, especially those caused by hypertension.
Optimizing the Implementation of the Greedy Algorithm to Achieve Efficiency in Garbage Transportation Routes

Until now, the waste problem is still a crucial problem, including in the Banyumas Regency area. The uncontrolled accumulation of garbage at the TPS will of course greatly disturb the comfort of the community around the TPS. As is the case with the accumulation of garbage at TPS (Garbage Disposal Sites) in North Purwokerto District. When searching for this garbage transportation route, the Greedy Algorithm works by finding the smallest weight point by calculating the route passed and calculating the weight depending on the weight of the stages that have been passed and the weight at the stage itself. Based on the results of the system testing that has been made, the shortest route for transporting waste from the starting point of the Banyumas Environment Office is to go to the final disposal site in Tipar, and return to the starting point of the Banyumas Environmental Office. So that the total distance traveled to return to the starting point is 53 km long. Based on the findings and discussions of this research, the results obtained are the determination of the shortest route from node A back to node A. Specifically, the route involves traveling from the DLH Banyumas Regency to TPS Grendeng, TPS Karangwangkal, TPS Pabuwaran, TPS Sumampir, TPS Purwanegara, TPS Bobosan, to TPA Tipar, and then returning to DLH Banyumas Regency. These results have implementable implications in the context of waste management in this area, with a total distance traveled of 53 kilometers.
Local Partition Dimension of Grid Graph and Its Application to the Coordinates of Potential Disaster Areas in Jember Regency

Partition dimension was introduced as a part of interesting topic in graph theory. It was focus to observe about distance. The local partition dimension is an expansion of the partition dimension by adding certain conditions to the representation of the vertices 𝑣 to which is Π denoted by 𝑟(𝑣| Π). One of the conditions that must be met for 𝑟(𝑣| Π) is discussed. The minimum value of k so that there is a local distinguishing partition from V (G) is the local partition dimension of G or it can can be said that the distance of each neighbor is different. The local partition dimension of a graph G is denoted 〖pd〗_l (G). In this study, we used an axiomatic deductive methods and pattern recognition. In order to construct the discriminating set on the metric dimension (dim) and the discriminating partition on the partition dimension (pd), the pattern detection method looks for patterns in which the coordinate values are minimum and different. By all observations, the local partition dimensions of P_n×P_m Grid graph has two condition about the results of resolving partition. The Result of local partition dimension of a Grid graph 〖〖pd〗_l (P〗_n×P_m)=2, where n≥2 dan m≥2. In addition, it will decide how to convert the coordinates of areas in the Jember district that are prone to flooding and landslides into metric dimensions. It was about Coordinates of Flood and Landslide Disaster Locations in Jember Regency. The number of local and minimal partition sets generated for flood-prone areas in Jember Regency is 〖pd〗_l (G_Jember)=3.