Reviewerly/exHarmony huggingface dataset:
AUGMENTED REALITY-BASED LEARNING MEDIA IN INCREASING STUDENT KNOWLEDGE

This research aimed to find out how to apply augmented reality learning media in increasing students' knowledge at SDN 007. This research used mixed methods, namely qualitative and quantitative methods with a type of classroom action research carried out in 2 cycles with the stages of planning, implementation, observation and reflection. The research results were obtained through collecting observation data to find out the application of augmented reality-based learning media which was tested using a percentage formula and tests used to increase students' knowledge which were tested using a percentage formula. The research results obtained after applying augmented reality were that in the pre-cycle the score was 60.1%, in the 1st cycle 80.5%, and in the 2nd cycle 90%. These scores showed that after students used augmented reality learning media, students' knowledge experienced a significant increase at State Elementary School 007 Kotabaru Reteh. The benefit of applying augmented reality learning media in schools is that it can visualize abstract learning material into concrete.
Pelatihan Adaptasi Teknologi melalui Penyusunan E-Modul dengan Menggunakan Flip Pdf Corporate Edition

E-modules represent a prominent trend in the ongoing evolution of educational technology. The swift progress of technology necessitates continual adaptation by teachers. This challenge is particularly significant for history teachers who are part of the Indragiri Hulu Regency History MGMP, as they grapple with staying abreast of diverse technological advancements. Consequently, assistance is imperative for these history teachers within the MGMP, specifically in understanding and applying the technology involved in e-module preparation. One effective approach to address this need is to provide support for teachers in utilizing the flip pdf corporate edition for e-module creation. Mentoring is structured across three key stages: preparation, implementation, and evaluation. The initial phase involves developing modules to facilitate independent learning for teachers during the mentoring process. Notably, teachers exhibit high motivation and proficiency in utilizing the application throughout the e-module preparation. They are also capable of crafting autonomous e-modules with the aid of instructional guides. The culmination of this assistance is evident in teachers successfully generating e-modules that can serve as valuable resources for student learning in various subjects. Evaluation results from mentoring activities underscore the importance of teachers consistently and continuously actualizing their knowledge. This ongoing effort is crucial for enhancing literacy and digital skills within the learning process.
Teaching Approaches and ICT Integration with Contemporary Children Literature

Literature is important in learning a language. It is a powerful tool in improving the students' linguistic skills. Literature also essentials in developing students' language skill and overall academic success. Literature components have been incorporated into English language lessons in Malaysia's primary schools for more than a decade ago. Contemporary Children's Literature (CCL) is a literature component provided for primary school students in Malaysia. One of the objectives of incorporating CCL into the English language is to enhance students' language proficiency. This case study was carried out to discover teachers' perceptions of the inclusion of Information Communication Technology (ICT) with CCL materials in a literature lesson, and to investigate students' perceptions of CCL activities employed by the teacher. The results indicate that teachers employed both teacher-centered and student-centered approaches in teaching literature. Moreover, the integration of ICT assists teachers in engaging students in the lesson. The students showed positive feedback on the use of ICT inside the classroom.
Student Response in Using Smartphone-Assisted Augmented Reality Video in Learning

Smartphone-assisted video augmented reality was developed to facilitate students who want to study anywhere, and anytime. The material studied includes the presentation of information about the work procedures of a concept being practiced. This study aims to develop a prototype for Chemistry Learning Using Video Program-Based Augmented Reality Applications and to get student responses about the use of augmented reality videos practiced in chemistry learning. This study uses a research and development approach based on the ADDIE method which has five steps, namely: analysis, design, development, implementation, and evaluation. The activity was preceded by developing a video program and being validated by a media expert, followed by making markers and developing applications. The results of the development were tried 39 students, as well as 4 teachers. The data were obtained through a questionnaire and were analyzed by descriptive qualitative. The results showed that the Prototype Development for Chemistry Learning Using Video Program-Based Augmented Reality Applications has been developed. Students responded stated that Augmented Reality (AR) video shows were able to build an understanding of teaching materials (92.3%), provide an initial understanding before working in the laboratory (95.9%), introduce the object of the experiment to be carried out (100%), explain the procedure for using the tool easily (100%).
Optimizing the Potential of Artificial Intelligence in Education Management for Era 5.0

In the 5.0 era, where the development of information and communication technology is increasing rapidly, artificial intelligence (AI) is becoming an important topic in various fields, including education. With respect to educational management, artificial intelligence can make a significant contribution to increasing the effectiveness, efficiency and quality of the educational process. The aim of this research is to optimize the possibilities of artificial intelligence in education management for age 5.0. The aim of this research is to explore the various ways artificial intelligence can be used in educational situations, including using intelligent systems to manage student data, developing customized curricula, and using speech and image recognition technologies to support learning. The research method used in this study is a literature review and a comprehensive analysis of trends and the use of artificial intelligence in educational administration. Research shows that the use of artificial intelligence in education management can provide a variety of benefits, such as improving information management, personalizing learning approaches, and developing more accurate assessment systems. However, there are several challenges that must be faced when optimizing the potential of artificial intelligence in education management, such as privacy issues, ethical issues, and adequate human resource preparation. Therefore, this research also emphasizes the need for clear policies and guidelines in the use of artificial intelligence in education. which is more accurate. However, there are several challenges that must be faced when optimizing the potential of artificial intelligence in education management, such as privacy issues, ethical issues, and adequate human resource preparation. Therefore, this research also emphasizes the need for clear policies and guidelines in the use of artificial intelligence in education.
Students’ Perception of Project-Based Learning Implementation in Teaching English to Young Learners Class

Penelitian ini bertujuan untuk menggambarkan persepsi siswa tentang penerapan Pembelajaran Berbasis Proyek (PjBL) di kelas Teaching English to Young Learners (TEYL). TEYL adalah mata kuliah wajib untuk mahasiswa tahun ketiga sebagai penciri jurusan Pendidikan Bahasa Inggris sebuah universitas swasta di Indonesia. Untuk menjawab pertanyaan penelitian tersebut, data diperoleh melalui angket dan observasi. Hasil temuan penelitian ini diharapkan dapat memberikan kontribusi terhadap body of knowledge penelitian tentang TEYL dan secara khusus memberikan wawasan lebih bagi para peneliti di TEYL. Penelitian ini menggunakan desain penelitian kualiitatif dan dilaksanakan di kelas TEYL dengan 32 mahasiswa sebagai responden. Angket digunakan untuk mengumpulkan data tentang persepsi mahasiswa terhadap implementasi PjBL dan lembar observasi digunakan untuk mengetahui keterlibatan mahasiswa di kelas. Kuesioner dibuat berdasarkan teori Robbins and Judge (2013). Data kemudian dianalisis secara tematik. Hasil penelitian menunjukkan bahwa mahasiswa mempersepsikan proyek secara netral untuk tiga aspek perciever, target dan situation. Para siswa tidak terlalu termotivasi dan terlibat dalam proyek karena tantangan Covid 19 terjadi dalam waktu bersamaan pada pelaksanaan penelitian. Mereka dipaksa untuk melaksanakan pembelajaran online dan melaksanakan proyek secara individu dengan pembimbingan secara luring yang kurang intensif.This research is aimed to portray the students’ perception of the implementation of PjBL in a Teaching English to Young Learners (TEYL) class. To answer the questions, the data are obtained through a questionnaire and observation. The findings of the research are expected to contribute to the body of knowledge of research on TEYL and specifically to give more insights to researchers in TEYL. Using qualitative research design, the study was implemented in a TEYL class with 32 students as the participants of English Education Department of Universitas Muria Kudus in the academic year 2019/2020. A questionnaire was used to collect the data and was analyzed thematically using percentage. The research reveals that the students perceived the project neutrally for three aspects of perceiver, target and situation. The observation shows that the students have limited access to their group members out of classroom discussion. In addition, the lecturer only gave minimum assistance before and after the completion of the project. During the project completion, either the lecturer and students or the students and the students seemed not connected. Further factors that might contribute to the success of PjBL should be taken into account, such as the teacher’s role as facilitator, the use of various technological learning media and effective communication between students and teacher and among students themselves.
Analisis Waktu Kelulusan Mahasiswa Menggunakan Bagging Cart pada Fakultas Sains dan Teknologi UIN Sumatera Utara

The percentage of students who graduate on time is one of the benchmarks for the accreditation assessment of a college. Therefore, the timeliness of graduating students is one of the things that must be observed by universities or study programs. This study aims to find out the classification of variables that affect the graduation time of undergraduate students of the Faculty of Science and Technology UIN North Sumatra Medan by using the CART method and to find out the increasing percentage of CART prediction accuracy with the Bagging method. The data used in this study is student data from the Faculty of Science and Technology, North Sumatra State Islamic University medan class of 2015 and 2016. The length of thesis preparation is the most influential variable for graduation time. Classification values are seen from the values of accuracy, sensitivity, and specificity. The CART method provides an Accuracy value of 80.64%, Sensitivity of 60%, and Specificity of 84.61%. While the Bagging CART method obtained Accuracy 87.1%, Sensitivity 66.7%, and Specificity 89.2%. Classification results with Bagging CART can increase classification accuracy by 6.5%. Based on the comparison of the accuracy values obtained, it can be concluded that the application of the Bagging method results in better classification accuracy compared to cart classification trees without Bagging.
ONLINE LICENSING APPLICATION SYSTEM DESIGN FOR CV. FILADELPHIA TIRTA PERKASA USES CODEIGNITER AND BOOTSTRAP FRAMEWORK

A website can be interpreted as a document stored on a web server that has a certain type and topic. Websites consist of two types, namely static and dynamic websites. A static website is a website where users cannot change the content of the website directly using a browser. Meanwhile, in a dynamic web, the interactions that occur between users and servers are very complex. One can change the content of a particular page by using a browser. This website application was built with the PHP, CSS, HTML and JavaScript programming languages using the Codeigniter 3.0.6 and Bootstrap 3.3.6 framework. This application was created to make it easier for an employee to get a CV. Filadephia Tirta Perkasa in applying for leave and permission. The research method used is the Waterfall method which consists of planning and needs analysis, design, implementation, testing, installation and maintenance stages. The application is divided into two designs, namely an application for administrators and an application for employees. Based on the implementation and results of trials carried out, it shows that this application can run well and can display all pages.
Effect of text messages online education for premenstrual syndrome symptoms using media-based support in Iranian Students

Background and aims: One of the most common complaints of women is premenstrual syndrome (PMS). This study aimed to determine the effect of text messages online Education on PMS using Media-based Support. Methods: The present research was an interventional quasi-experimental study from May 2021 to August 2021 in all female students in Ramsar city, Iran. Sixty-eight cases were selected and divided into two groups (the intervention and control groups). Demographic characteristics questionnaire and Premenstrual Symptoms Questionnaire (PSQ) were used. Each case in the experimental group received text messages for three menstrual cycles. PMS symptoms were compared before and after the intervention in two groups. The data were analyzed using SPSS software (version 16), independent t-test, paired t-test, and covariance analysis (P=0.005). Results: The participants were 18-25 years old and were studying for a bachelor’s degree. Before the intervention, the mean of the PMS score was (11.25±10.05) in the Intervention group and (31.38±14.31) in the Control group (P=0.041). After the intervention, the mean PMS scores in the Intervention and Control groups were (21.85±8.25) and (33.26±14.45) (P=0.001). In the intervention group, psychological and physical symptoms were statistically significant before (25.11±10.05) and after the intervention (21.85±8.25) (P=0.007). Conclusion: The study results showed that media-based support is an efficient and effective method in reducing premenstrual symptoms, which can be used in related interventions as an effective, easy, and low-cost method.
Prevalence of Malaria in Cross River State-Nigeria

Abstract This study was carried out in October, 2021, with collection of secondary data across the three senatorial districts. This was followed up with collection of primary data in February, 2022 in the same primary Health Care facilities across the senatorial districts. Secondary data in the month of October, 2021 shows that a total of 856 clients were tested for malaria, with rapid diagnosis of malaria (mRDT) test kits and 638 were tested positive, with positivity rate 638 (74.5%) while primary data in the month of February 2022, shows that a total of 987 clients with fever were tested for malaria and 340 were tested positive, with positivity rate 340 (34.4%). There is significant disparity between the secondary data and the primary data in this study, affecting data quality issues and use of the data for planning and discussion making issues. Several factors may be responsible for this high false positivity rate on the part of service providers across the state resulting to data quality issues.
Implementation of Big Data Technology in Budget Performance Evaluation in Vocational Colleges

The rapid development of big data and its derived information technology such as the Internet of Things and cloud computing have brought new opportunities to the budget performance evaluation in vocational colleges. Therefore, it is necessary to innovate evaluation methods with big data technology to improve the objectivity and accuracy of performance evaluation results. In this context, we analyzed the necessity of the application of big data to budget performance management. Then, the construction mechanism of the big data-based budget performance management platform was proposed, including the construction ideas and methods and the application paths of conducting big data-based budget performance management. This study contributes to promoting the budget performance management work towards smarter processes in the background of big data technology.
Exploration and Practice of Blended Teaching Mode Based on “SPOC + Smart Classroom”— Taking “Information Security Protection in the Mobile Internet Era” as an Example

This paper introduces an innovative hybrid teaching mode that integrates the smart classroom environment and SPOC platform. This mode aims to transform traditional one-way teaching and enable multi-directional ability training. By exploring the integration of the smart classroom environment and SPOC, it assists teachers in developing their teaching strategies and effectively utilizing the smart classroom environment to support teaching and learning activities. Moreover, it aims to enhance the overall impact of classroom teaching and provide practical examples for frontline teachers to implement in smart classroom environments.
Design and development of multi tenancy security issues in cloud computing

With the advent of technology cloud computing has become the next generation of network computing where cloud computing can deliver both software and hardware as on-demand services over the Internet. Cloud computing has enabled small organizations to build web and mobile apps for millions of users by utilizing the concept of “pay-as-you-go” for applications, computing, network and storage resources as on-demand services. These services can be provided to the tenants in different categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). In order to decrease the costs for the cloud users and increase resource utilization, cloud providers try to share the resources between different organizations (tenants) through a shared environment which is called Multi-Tenancy. Even though multi-tenancy’s benefits are tremendous for both cloud providers and users, security and privacy concerns are the primary obstacles to Multi- Tenancy. Since Multi-Tenancy dramatically depends on resource sharing, many experts have suggested different approaches to secure Multi-Tenancy. One of the solutions is resource allocation and isolation techniques. In most cases, resource allocation techniques consider but are not sufficient for security. OpenStack community uses a method to isolate the resources in a Multi-Tenant environment. Even though this method is based on a smart filtering technique to segregate the resources in Compute nodes (the component that the instances are running on it in OpenStack), this method is not flawless. The problem comes up in the Cinder nodes where the resources are not isolated. This failure can be considered as a security concern for a Multi- Tenant environment in OpenStack. In order to solve this problem, this system explores a method to secure Multi- Tenancy for both sides in the Compute node and for backend where Block Storage devices for the instances can be isolated as well and with advanced software technologies and will address the societal changes due to cloud computing.
RANCANG BANGUN ALAT PENDETEKSI KANTUK PADA KENDARAAN RODA EMPAT DENGAN METODE HAAR CASCADE

Based on the Surabaya Police Traffic Unit, the number of accidents due to traffic violations in Surabaya from January to August 2019 reached 882. One of the biggest causes of accidents is caused by human error. One of the human error factors is fatigue or sleepiness. Sleepiness is a very common thing that happens to everyone. This can be caused by various factors, namely fatigue, lack of sleep, overeating. Drowsiness can be defined as a process produced by circadian rhythms and the need for sleep. In a drowsy state, a person can increase the blink of an eye as much as 20% of the frequency of blinks per minute. In addition, a person experiences microsleep with a duration of eye closure of 0.5 seconds or more. The eye recognition process carried out by computer vision is not as easy as what is done by humans directly. While humans themselves are very easy to recognize someone very quickly without having to think long. While computer vision is very slow in recognition. So in this research, a sleep detection device with facial recognition will be made which detects sleepiness in the eyes for safety when driving on the highway so that it can reduce the risk of accidents on the highway, using a raspberry pi microcontroller using the Haar Cascade method which requires very fast eye recognition. It is hoped that from my research this tool can reduce the number of accidents in Indonesia, especially in East Java, the city of Surabaya.
Use of the Padlet Platform in Online Learning Media in Higher Education

Background. Students who are constrained in conducting face-to-face lectures so they cannot go to campus for other reasons, cannot carry out the learning process with lecturers and lecturers cannot also provide material to students so that the teaching and learning process is hindered because they cannot meet. This problem may be caused by the lack of innovation in the series of learning carried out in tertiary institutions. Purpose. of this research is to search for information from students in tertiary institutions about the use of padlets. Method. used is a qualitative method in which the research uses it as a guide so that the focus of the research is in accordance with the facts in the field and data that contains numbers so that the data can be formed by using the Google form as a means to make a questionnaire of questions given to correspondents who can used as a research subject, besides that the theoretical basis is also useful to provide an overview of the research setting and as material for research discussion. Results. of this study are to provide that there is progress in using the padlet platform in learning this lecture in tertiary institutions. Conclusion. of this study is that the use of the padlet platform makes it easier for students to study at tertiary institutions online through information and communication technology learning media, and others
Ekspresi Emosi Berdasarkan Suara Menggunakan Algortima Multi Layer Perceptron dan Support Vector Machine

Rapid developments in voice-based emotion recognition have made positive contributions to human-computer interaction. This research aims to compare the performance of two algorithms, namely Multilayer Perception (MLP) and Support Vector Machine (SVM), in recognizing emotions based on sound. The data used in this research was taken from Kaggle, which amounted to 1440 voice data. The data is then collected into several emotions which will then be feature extracted from the dataset to eliminate irrelevant information and reduce noise so that the classification results are optimal. The research results show that the classification accuracy using the Multilayer Perception (MLP) algorithm reaches 83%, while the Support Vector Machine (SVM) reaches 82%. Based on the accuracy results of both methods, it can be concluded that the Multilayer Perception algorithm is superior to the Support Vector Machine algorithm in the context of voice-based emotion recognition.&#x0D; Keyword: Emotional Expression, Voice, Mfcc, Multi-Layer Perceptron, Support Vector Machine