Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN GAME 2D PLATFORMER “VIRUS MUST DIE” BERBASIS ANDROID MENGGUNAKAN UNITY

The development of an Android-based 2d platformer game with elements of Artificial Intelligence (AI) on certain objects makes users get entertainment. However, with the addition of educational elements simultaneously when playing games, it will directly increase user knowledge. The purpose of this study is to present games in the form of education about mathematics to users. The methods used include literature study, observation, and experiment. The software development method uses the System Development Life Cycle (SDLC) with a waterfall development approach. The software used in making this game is unity version 2020.3.1f1 Long Term Support (LTS). Testing using black box testing with good results. Based on the results of the questionnaire, this game is said to be suitable for use with a percentage value of 82.4%.
Comparative analysis of Java and Dart programming languages in terms of suitability for creating mobile applications

This paper presents the results of a comparative analysis of Java and Dart programming languages in terms of suitability for creating mobile applications. The research was carried out on two proprietary applications with identical functionalities, which were implemented in the analyzed languages. The analysis covers areas such as: CPU load, RAM consumption, battery consumption and program execution time. Additionally, on the basis of proprietary applications, the code structure, number of lines of code and community support were considered. The results of the analysis indicate that it is difficult to clearly determine which language is more efficient, so the choice between Java and Dart should be analytical and best suited to the requirements of a given application.
ANALISIS KUALITAS WEBSITE PORTAL UNIVERSITAS AHMAD DAHLAN MENGGUNAKAN METODE IMPORTANCE PERFORMANCE ANALYSIS

Web-based information systems in universities are currently shown as a medium for delivering academic information. One of them is a website as a reference for students to get accurate and up to date. Assessment of the quality of the website can be seen from the expectations of its users, Importance Performance Analysis (IPA) is used as a method to measure the quality of a website as an analytical tool in the form of level of conformity analysis, gap analysis, and quadrants. The results of the analysis of the calculation of the average value of the gap on website Ahmad Dahlan University PORTAL negative (&lt;0) in the amount of -0.54. These results indicate that the level of performance and quality of the website is still lacking and has not met user expectations. Overall, users of the website were dissatisfied with the quality of the website. The results of the quadrant analysis showed that there were 6 attributes entered in Quadrant 1.5, attributes entered in Quadrant 2, 4 attributes entered in Quadrant 3, and 6 attributes entered in Quadrant 4.
SISTEM PAKAR DIAGNOSIS HAMA DAN PENYAKIT PADA TANAMAN KANGKUNG MENGGUNAKAN METODE FORWARD CHAINING

The production of water spinach vegetable crops in 2020 in Central Java ranks 2nd in water spinach production, which is 29,108 tons. The amount of water in spinach production and the increased risk of being attacked by pests and diseases will be even more significant, and proper care is needed to improve the quality of water spinach. It takes an expert to convey knowledge about controlling pests and diseases that are good and right. From these problems, we developed a system to overcome the problem of water spinach plant disease. This expert system uses the forward chaining method. The results of this study are a pest and disease diagnosis system on water spinach using a website-based forward chaining method with accuracy testing using the confusion matrix method by testing 50 rules. Of 50 data, 45 are considered appropriate, and the results of 5 rules are not relevant, so the evaluation results of this expert system produce system accuracy with a percentage of 90%.
Can the Physical Parameters with the Support Vector Machine (SVM) Method Able to Classify Benign and Malignant Breast Cancer?

Objective: Evaluating the diagnostic performance of SVM to classify benign and malignant by performing a meta-analysis.&#x0D; Methods: The data used for this study were secondary data. It consisted of 221 mammogram images (mean age 57.5 years) with 164 malignant and 57 benign, taken from a radiological database that has been examined by a radiologist with more than 20 years of experience. Also, histopathological record data that had been examined by an oncologist with more than 20 years of experience. Mammograms were taken from January 2022 to June 2022. In all, 221 mammograms consisting of 164 malignant and 57 benign were used as SVM method training, and 20 mammograms consisting of 10 malignant and 10 benign were used to test the performance of the SVM method. It was then evaluated using pathology results as the gold standard.&#x0D; Results: Benign had a significantly lower deviation (an average of 29.2661230 ± 10.14916673) than malignant (an average of 33.1841234 ± 11.70238757). The SVM method performance value obtained the values ​​of TP, FP, TN, FN, accuracy, sensitivity, Specificity, and Precision, respectively 7,7, 3, 3, 50%, 70%, 30%, and 50%.&#x0D; Conclusion: A proper performance to distinguish benign and malignant can be obtained using the physical deviation parameters with the SVM classification approach. However, these findings should be proven in larger datasets with different mammographic scanners. Our meta-analysis shows that the physical parameters and SVM have high sensitivity but low specificity. Of the nine physical parameters in the mammogram, only the parameter deviation was significant to distinguish between benign and malignant. The SVM method proved to be able to differentiate between benign and malignant.
Comparison Of Support Vector Regression And Autoregressive Integrated Moving Average With Exogenous Variable On Indonesia Consumer Price Index

CPI is one of the most frequently used indicators to measure the inflation rate in a region. The government can maintain economic stability by knowing the CPI value in advance. Therefore, we need a suitable method to predict an accurate CPI value. In this research, we investigate the prediction of CPI based on the machine learning method, SVR, and compare it to the ARIMAX method. We use Indonesia CPI data from January 2015 to October 2021. We investigate the SVR method using four kernel functions: Radial Basis Function (RBF), Polynomial, Linear, and Sigmoid. We build the ARIMAX model through the auto ARIMA process. We divide the data into two parts with three scenarios to investigate the performance of the methods: training and testing. The results show that the partition of 80% training and 20% testing gives the best performance. The SVR method performs best using a linear kernel, with an RMSE value of 0,743 and a MAPE value of 0,684%. The best ARIMAX model is model (0,2,1) with an RMSE value of 1,928071 and a MAPE of 1,731598 %. From the plot of prediction results and indicators of RMSE and MAPE, the SVR predicts CPI data better than the ARIMAX method, with CPI in the previous one-month data (MA1) being the most influential variable on the next CPI value.
User-centered Design Strategies to Develop Mobile Application for Selection of Digital Forensics Tool

There are several types of digital forensics tool. Therefore, to help investigators to choose suitable tools, a recommendation system is needed. This research type is development of mobile application recommendation system. The development using User Centered Design (UCD) method. The evaluation system uses the Blackbox method and the User Acceptance Test (UAT) method. From the results, it is concluded that the application is useful, easy to use, and easy to learn by users. As for usability testing, it was found that the users found it very helpful to operate, which was 28 students with a margin of error of 5%.
Quantum AI: Deep Learning optimization using Hybrid Quantum Filters

Abstract: Deep learning algorithms have shown promising results for different image processing tasks, particularly in remote sensing &amp; image recognition. Till now many studies have been carried out on image processing, which brings a new paradigm of innovative capabilities under the umbrella of intelligent remote sensing and computer vision. Accordingly, quantum processing algorithms have proved to efficiently solve some issues that are undetectable to classical algorithms and processors. Keeping that in mind, a Quantum Convolutional Neural Network (QCNN) architecture along with Hybrid Quantum filters would be utilized supported by cloud computing infrastructures and data centers to provide a broad range of complex AI services and high data availability. This research summaries the conventional techniques of Classical and Quantum Deep Learning and it’s research progress on realworld problems in remote sensing image processing as a comparative demonstration. Last but not least, we evaluate our system by training on Street View House Numbers datasets in order to highlight the feasibility and effectiveness of using Quantum Deep Learning approach in image recognition and other similar applications. Upcoming challenges and future research areas on this spectrum are also discussed.
Standards and affordances of 21st-century digital learning: Using the Experience Application Programming Interface and the Augmented Reality Learning Experience Model to track engagement in extended reality

&lt;p class="Abstract"&gt;The development of new extended reality (XR) technologies for learning enables the capture of a richer set of data than has previously been possible. To derive a benefit from this wealth of data requires new structures appropriate to the new learning activities these immersive learning tools afford. The Experience Application Programming Interface (xAPI) and the Augmented Reality Learning Experience Model (ARLEM) standards have been developed in response, and their adoption will help ensure interoperability as XR learning is more widely deployed. This paper briefly describes what is different about XR for learning and provides an account of xAPI and its structures as well as design principles for its use. The relationship between environmental context and ARLEM is explained, and a case study of a VR experience using xAPI is examined. The paper ends with an account of some of the promises for collecting data from early childhood learning experiences and an unsuccessful attempt at a study using Augmented Reality with young children.&lt;/p&gt;
A new perspective of the day-of-the-week effect on Bitcoin returns: evidence from an event study hourly approach

Research background: A current strand of the financial literature is focusing on detecting inefficiencies, such as the day-of-the-week effect, in the cryptocurrency market. However, these studies are not considering that there are no daily closes in this market, and it is possible to trade cryptocurrencies on a continuous basis. This fact may have led to biases in previous empirical results. Purpose of the article: We propose to analyse the day-of-the-week effect on the Bitcoin from an alternative perspective where each hourly data in a day is considered an event. Focusing on that objective, we employ hourly closing prices for Bitcoin which are taken from the Kraken exchange, one of the world leading exchanges and trading platforms in the cryptocurrency markets, for the period spanning from January 2016 to December 2021. Methods: Contrary to the previous empirical evidence, we do not calculate daily returns, but rather the first stage of our proposed approach is devoted to analysing the hourly mean returns for each of the 24 hours of the day for each day of the week. We look for statistically significant hourly mean returns that could advance the importance of the hourly differentiation in the Bitcoin market. In a second stage, we calculate different post-event cumulative returns which are defined as the change in log prices over a time interval. Finally, we propose different investment strategies simply based on the significant hourly mean returns we obtain and we evaluate their performance in terms of the Sharpe ratio. Findings &amp; value added: We contribute to the debate about the degree of Bitcoin?s market efficiency by providing an alternative methodology based on an event study hourly approach. Furthermore, we provide evidence that by investing in different post-event hourly windows it is possible to outperform the classic buy-and-hold strategy.
The Extent to which Jordanian Commercial Banks Accomplish Internal Accounting Control Objectives

This study aimed to identify the extent to which Jordanian commercial banks achieve the objectives of internal accounting control, and the study relied on the descriptive and inferential approach. The exclusion of (4) questionnaires due to the lack of completeness of their answers. Consequently, the number of valid questionnaires for the purposes of analysis reached (164) employees of the internal control departments in Jordanian commercial banks.&#x0D; The results showed that the attitudes of the accounting internal control staff towards the dependent variable, the accounting internal control objectives in the Jordanian commercial banks, have achieved high degrees of relative importance. Also, the dimension (effectiveness and efficiency of operations) achieved the first rank with a very high degree of approval among the dimensions of the internal accounting control objectives. The second rank achieved the dimension (compliance with laws and legislation) with a high degree of approval. The dimension (reliability and completeness of financial reports) achieved the last rank with a high degree of approval.&#x0D; The study concluded with a set of recommendations, the most important of which are: improving the effectiveness and efficiency of operations by implementing appropriate control procedures in the bank to increase the efficiency of resource utilization in the bank, and measuring the effectiveness and efficiency of the applied control means through the presence of an internal audit system in accordance with the approved audit procedures.
Effectiveness of the Directed Reading Thinking Activity Strategy for Learning Reading Comprehension at Grade IV in Yogyakarta

This research aimed to identify the effectiveness of using the directed reading thinking activity (DRTA) strategy for reading comprehension learning in grade IV. This research was conducted at SD Islam Al-Azhar 31 in Yogyakarta from September to October of the 2020 academic year. This was quasi-experimental research with a non-equivalent control group design. Class IV IF and Class IV IK served as the experimental and control groups, respectively, with each consisting of 26 students who were randomly recruited. Data were collected using tests and observations. The instrument used was a multiple-choice test consisting of 20 test items that showed a validity index ranging from 0.40 – 0.64 with a reliability index of 0.86 on the pretest, and 0.43 – 0.62 with a reliability index of 0.87 on the post-test. A significant difference was found (index = 3.118, p = 0.003). It is therefore concluded that the DRTA strategy is effective in teaching reading comprehension at grade IV.&#x0D; Keywords: directed reading thinking activity (DRTA) strategy, learning to read understanding
The Development of Ular Tangga Nusantara (Larganusa) as Social Studies Learning Media for Elementary Schools During the COVID-19 Pandemic

This study aimed to determine: (1) the development process of the Ular tangga nusantara (Larganusa) or Nusantara ladder snake learning media; (2) the appropriateness of the media of Larganusa; (3) the response of teachers and students to Larganusa; (4) the increase in student achievement as a result of using these media; and (5) the effectiveness of using the Larganusa. This was research and development research which used the Borg and Gall model. Data were collected through interviews, questionnaires, and tests and analyzed descriptively. The results were as follows: (1) the Larganusa was developed from information gathering and field testing; (2) the media developed were declared fit for use with very good criteria, indicated by the assessment of material experts with a score of 88% and media expert assessment with a score of 90%; (3) the response of students and teachers was very good, indicated by a teacher score of 96% and a student score of 88%; (4) student learning achievement increased – the average pretest value was 59.8 and the average posttest value after using the media was 85.0; and (5) the media of Larganusa was effectively used in learning, as shown by the results of the paired sample t-test which indicated a significant effect.&#x0D; Keywords: Ular tangga nusantara (larganusa) game, learning media development, social sciences, elementary school
Microsoft Office Team 365 for Teaching Indonesian Language in Secondary Schools During COVID-19 Pandemic

The COVID-19 outbreak has led to many changes in Indonesia. One of the strongest changes has been felt in the Indonesian language teaching and learning process. Presenting interactive media is on-demand to maintain students’ engagement in learning. Microsoft Office Team 365 is an application that allows the teacher and the students to interact with each other during distance learning. This study exposes the implementation of Microsoft office Team 365 for teaching the Indonesian language in five secondary schools in Semarang as well as the barriers faced by the teachers and students. The authors found that the Microsoft Office Team 365 features are utilized well to keep the students engaged in the Indonesian language learning process.&#x0D; Keywords: Microsoft Office Team 365, Indonesian language learning, COVID-19 pandemic
Design of Augmented Reality-Based Thematic Textbooks to Improve the Literacy of Elementary Students

During the pandemic, breakthroughs in learning were required, one of which was the conversion of printed versions of traditional teaching materials into digital teaching materials. While there were many digital textbooks or e-books available on the internet, there was no SD thematic material packaged digitally based on augmented reality and capable of displaying an engaging, augmented reality for students. This augmented reality-based thematic textbook could help elementary students understand basic thematic material, and its products could be installed on all students’ computers and smartphones, making learning more enjoyable. The research method of this study was based on the ADDIE R&amp;D model (analysis, design, develop, implement, and evaluate). Elementary thematic textbooks from various publishers were analyzed, which revealed that no national publisher has produced augmented reality-based elementary thematic textbooks for grade 1. Following that, four chapters of augmented reality-based elementary thematic textbooks were designed, which were validated by learning material and learning media experts with scores of 90 and 92, respectively, indicating that this product is suitable for limited testing in elementary schools in Semarang and its environs. This augmented reality-based elementary thematic textbook is effective because it displays augmented reality, pictures and fun music.&#x0D; Keywords: design, elementary thematic textbooks, augmented reality, ability, student literacy
Developing Individualized Education Program (IEP) on Early Reading for Special Needs Students in Inclusive Primary Schools in Magetan Regency

This research describes and explains (i) the condition of early reading for special needs students in inclusive primary schools in Magetan regency, Indonesia; (ii) the teachers’ need for an Individualized Education Program (IEP) for early reading; and (iii) the development of IEP in early reading for special needs students. The study is developmental research introduced by Borg dan Gall. The research was planned to be conducted in four steps: exploration, model development, model testing, and dissemination. However, the current study explains the development of IEP at the exploration step. A descriptive qualitative method was used in the exploration step. Data were collected through document study, observation, and interview, and analyzed using the interactive model. The research at the exploration step showed the following results: First, teachers faced many constraints while teaching early reading to special needs students; each special needs student faced a different obstacle which only a few teachers understood and tackled well. In addition, some obstacles also came from parents who are unaware of their children’s needs and cannot contribute to their studies. Second, teachers need IEP in early reading for special needs students to tackle the different obstacles. Based on the research results, a prototype for IEP in early reading for special needs students at inclusive primary schools in Magetan Regency was designed at the development step.&#x0D; Keywords: Individualized Education Program (IEP), early reading, special need students, inclusive primary school
Development of an English Classroom Instruction Module to Support Students' Bilingual Learning

There are no teaching materials available to help students learn bilingually in elementary school teacher training (PGSD) in Indonesia. The goal of this study was to create an English classroom instruction module to help students improve their ability to learn in a bilingual environment. This module provided students with opportunities to practice teaching using English as a bilingual classroom instruction language, allowing them to develop creativity in their teaching techniques and incorporate English into their students’ daily interactions. This study also examined the module’s suitability for teaching bilingual learning. The investigation was carried out using the research and development method, following the Borg and Gall stages, which included 1) research and data collection, 2) planning, 3) initial product development, 4) initial field testing, 5) major product revisions, 6) main field testing, and 7) operational product revision. Observations, questionnaires and tests were used to gather information. Descriptive statistics and the paired sample t-test were used to analyze the data. According to the findings (media expert validation average score of 4.14, indicating good criteria, and material expert validation average score of 4, indicating good criteria) the English classroom instruction module is feasible to use in bilingual learning. The module also works to improve students’ abilities, as evidenced by an average pre-test score of 77.32 increasing to 87.04 in the post-test, which was found through the paired sample t-test to be a significant increase in scores. It was concluded that the English classroom instruction module can improve students’ abilities in bilingual learning.&#x0D; Keywords: bilingual learning, module, English classroom instruction, students
Development of a Design for Implementation Learning of Oriented on CTL Model to News Writing During the COVID-19 Pandemic

News writing – a crucial part of journalism – is a necessity for students, especially those at PBSI (Indonesian Language and Literature Education). Students must be able to produce writings containing news or events that are observed and experienced directly in society. In achieving these output targets, lecturers must be able to motivate students for learning by making it interesting and using the right combination of learning media, learning strategies, and learning models. In this article, the authors discuss how to develop an RPS for news writing using the CTL learning model. The research type is an R&amp;D with development steps according to Sugiyono and Pengembangan. However, the current article describes only the product design process. The study data were collected through discussions of concepts based on various related theories.&#x0D; Keywords: development, model, learning, contextual, COVID-19