Reviewerly/exHarmony huggingface dataset:
CREATION OF MECHANICAL ENGINEERING LABORATORY EQUIPMENT RECORDING APPLICATION USING MICROSOFT ACCESS AT SMK NEGERI 1 PALANGKA RAYA

The application for recording laboratory equipment loans has an important role in the efficiency of administration and equipment management in educational environments such as SMK Negeri 1 Palangka Raya. This article describes the development of a Microsoft Access-based mechanical engineering laboratory equipment loan recording application to meet school needs in managing laboratory equipment more efficiently. This application was designed with the unique needs of laboratories in mind, including the process of borrowing and returning equipment, equipment stock management, and reporting on loan activities. Application users, such as laboratory technicians and equipment users, can easily record borrowings, check equipment availability, and generate necessary reports. This application is expected to provide benefits in increasing the efficiency of laboratory administration, increasing the accuracy of recording, and providing convenience in reporting. Apart from that, this application is also expected to increase transparency in the process of borrowing Mechanical Engineering laboratory equipment at SMK Negeri 1 Palangka Raya. The performance evaluation results of this application show that users experience improvements in administrative efficiency, recording accuracy and transparency. Thus, this application makes a positive contribution to the management of the Mechanical Engineering laboratory at SMK Negeri 1 Palangka Raya and can be an example of successful technology implementation in education.
Improved Image Classification Task Using Enhanced Visual Geometry Group of Convolution Neural Networks

Convolutional Neural Networks (CNNs) have become essential to solving image classification tasks. One of the most frequent models of CNNs for image classification is the Visual Geometry Group (VGG). The VGG architecture is made up of multiple layers of convolution and pooling processes followed by fully connected layers. Among the various VGG models, the VGG16 architecture has gained great attention due to its remarkable performance and simplicity. However, the VGG16 architecture is still prone to have many parameters contributing to its complexity. Moreover, the complexity of VGG16 may cause a longer execution time. The complexity of VGG16 architecture is also more highly prone to overfitting and may affect the classification accuracy. This study proposes an enhancement of VGG16 architecture to overcome such drawbacks. The enhancement involved the reduction of the convolution blocks, implementing batch normalization (B.N.) layers, and integrating global average pooling (GAP) layers with the addition of dense and dropout layers in the architecture. The experiment was carried out with six benchmark datasets for image classification tasks. The results from the experiment show that the network parameters are 79% less complex than the standard VGG16. The proposed model also yields better classification accuracy and shorter execution time. Reducing the parameters in the proposed improved VGG architecture allows for more efficient computation and memory usage. Overall, the proposed improved VGG architecture offers a promising solution to the challenges of long execution times and excessive memory usage in VGG16 architecture.
History Students’ Readiness in Using QR Code Based E-Job Sheet

The research objective is to identify primary history students' readiness to use QR code-based e-job sheets in terms of knowledge, experience, and supporting facilities. The research material consists of digital technology devices, smartphones, internet networks, electronic worksheets, QR Code applications, and an assessment of historical learning. This research applied a quantitative approach. Research respondents included significant history students at the Faculty of Social Sciences Universitas Negeri Padang from 2018 to 2022, including 140 students. Data were collected through a Google Form application questionnaire and shared with the students via WhatsApp. The data were analyzed quantitatively by using percentages and averages. General findings showed that many students were ready to use QR code-based e-job sheets, but others still needed them. The particular findings included: 1) more than half of respondents knew what the e-job sheet was, but two-thirds of them had no experience using the e-job sheet, 2) related to QR codes, it was found that half of the respondents knew what QR code was, but a part of them had no experience using QR codes, and 3) two-thirds of the respondents stated that supporting facilities such campus internet and their smartphone were unable to support the use of QR codes-based e-job sheets. QR code-based e-job sheets have become essential in optimizing digital technology in learning activities. Further research is needed to measure the effectiveness of using QR code-based e-job sheets as an alternative strategy and instrument for assessing learning outcomes in the digital era.
An exploratory study on the status and influencing factors of core competencies in Korean universities

This study aims to explore the core competencies used by higher education institutions in Korea as core competencies are emphasized as one of the skills needed to live a successful life in a rapidly changing 21st century society. To this end, the research problems set in this study are as follows. First, what are the core competencies mainly selected by Korean universities? Second, does the selection of core competencies appear differently depending on the characteristics of the university? To this end, data on the core competencies and characteristics of 122 universities were collected, network text analysis and logistic regression analysis were conducted, centering on four-year general universities nationwide, and the results of the study were derived as follows. First, communication (66.4%), creativity (64.8%), self-management (48.4%), convergence (47.5%), global (45.9%), and problem solving (32.8%) were the most core competencies used by domestic universities. Second, all but two variables(research expenses per full-time teacher, the percentage of foreign students) among 11 university characteristics used as independent variables(location, participation in ACE projects, establishment classification, women's university status, number of full-time teachers, education cost per student, disability rate, employment rate, and tuition fees) were found to have significant differences in the selection of core competencies. Among them, it was found that the university characteristic variable that has the most influence on the selection of core competencies was the establishment classification variable.&#x0D; The results of this study are expected to help understand competency education that can contribute to the specialization of university education in Korea and explore the direction of the role that higher education should play, focusing on the changes of the times. However, it is revealed that it is a study that has not grasped the sub-elements and definitions of core competencies of each university, the decision process and subject, the background and meaning of use.
Analysis of the process in preparing for admission of prospective students and parents of vocational high schools in Seoul

The purpose of this study is to explore ways to improve vocational high school admissions support. Accordingly, in order to analyze the experiences of vocational high school students in the high school preparation process, a survey was conducted targeting vocational high school freshmen and their parents. The main results of the study are as follows.&#x0D; First, many students considered their career path and aptitude at the stage of deciding to go on to vocational high school, and some were concerned about society's negative views. Second, awareness of the support policy for university admissions to vocational high schools was high, but awareness of other support policies was found to be low. Third, the motivation for entering vocational high school was often consistent with the purpose of establishing vocational high schools, there were some students who decided to enroll because of their grades or college admission. Fourth, in the case of vocational high school admission and career guidance, middle school and vocational high school teachers were found to be of great help, but satisfaction with middle schools career guidance was relatively low. Fifth, in terms of vocational high school admission information, the need for continuous provision of information and the difficulty in collecting specific information for major or admission preparation were confirmed. Based on the research results, improvement methods were presented to communicate a consistent message to create a positive image of vocational high schools, strengthen advancement and career guidance training for middle school and vocational high school teachers, provide specific major information for admission support.
Basic Deliberation on Cultural Diversity Education for Intercultural Speakers in Primary English Curriculum and Classes

The purpose of this study is to suggest the basic deliberation on policy and implementation of cultural diversity education for intercultural speakers in English classes. To achieve the purpose, the 2022 revised English National Curriculum was analysed in terms of cultural diversity education. The findings are as follows: (1) Intercultural communicative competence for intercultural speakers wasn't specified in the characters and the goals of the curriculum. (2) The value, norm, belief, and cultural custom of cultural diversity were not presented in the teaching materials. (3) Accomplishment standards were not established transparently in the aspect of cultural diversity. (4) Teaching-learning methods and classroom activities were not specified for learners to get high motivation and involvement in classes. (5) Scope and sequence were not considered based on grade clusters in terms of education for cultural diversity. From the findings, it was suggested that direction on policy and implementation of cultural diversity education needs to be established based on content and structural design for intercultural speakers to systematically and effectively improve their competence on cultural diversity in primary English classes.
Combining Haar transform and row-column directional RLE in image compression

Haar transform, the simplest wavelet transformation, converts the data into wavelet coefficients. The output of the transformation generates larger numbers of Zeros. It acts as a basic step for data compression. The small values are further quantized to Zero for more appearance of Zeros in the data. Run-length encoding is a simple method of compression for repeating characters and is suitable here for repetitive Zeros. The quantized data are encoded in both horizontal and vertical direction run-length encoding. In this paper, we propose an algorithm that combines the Haar transform with the row-column directional run-length coding for a high rate of compression. The analysis of the results shows that the approximation of Haar coefficients increases the number of Zeros with a small increase in MSE in the transformed data. The visual or perceptual quality does not change so much.
EMPOWERING EDUCATORS TO TEACH ONLINE READING, LEARNING, AND COMPREHENSION SKILLS ON THE EXAMPLE OF ECOLOGICAL PROBLEMS

Reading and learning are changing rapidly in today's world, and educational systems sometimes fail to keep pace. To define the needs related to reading in the modern world, the Stavanger Declaration was written, stating that students should be taught online reading and learning strategies. Educators must also adapt to this. As part of the Learning, Teaching, and Training (LTT) activities, participants (21 individuals from different levels of education) were introduced to the Internet reciprocal teaching (IRT) method. The basis of this research was to find out whether we can empower educators to teach online reading, learning, and comprehension skills in a short training session using the ubiquitous topic of ecological problems as an example. We were also interested in whether a short program that empowers educators to use IRT in their classroom can influence teachers to develop students' digital literacy in their pedagogical work. The results show that the ecological issue, with its timeliness and universal presence in our lives, is an appropriate topic for educators to teach digital literacy. The participants were successful in solving the set tasks, and all of them answered that they would use the IRT method in their future pedagogical work. Keywords: digital literacy, ecological problems, internet reciprocal teaching method, problem-solving, teacher training
A Study on the Improvement Method of Large-scale Earthworks Using Smart Invoice

Currently, earthworks expenses, which account for a large portion of civil engineering work, are managed by hand or offline, such as invoices. However, such manual management can lead to human errors and poor management and manipulation of records, resulting in difficult situations that cause disputes between the client, construction company, partner company, and equipment technicians. In addition, a system that can transparently manage sand and soil is needed as illegal cases occur frequently, such as randomly bringing in rocks and soil at construction sites or unauthorized discharge and landfill of defective soil. In this paper, we want to use a Web-GIS-based smart invoice system to secure transparency and efficiency in bringing in external soil, identify the operation path and time of construction equipment with a GPS-based transport management system, and analyze the details by comparing contract details and big data . In addition, we intend to contribute to improving safety management by raising awareness of safety accidents through inspection and regulation of speeding vehicles using smart invoices. By calculating the optimal number of Sato equipment, we intend to increase system productivity by minimizing idle time of equipment and to summarize improvements by deriving smart invoice problems.
CURRENCY RECOGNITION SYSTEM USING IMAGE PROCESSING

In this paper, we proposed an automatic currency recognition system using digital Image processing methodology. The following project mainly focuses on the recognition of currency by its image or photograph. It will help users to recognize details about currency like Currency Value, Currency Name, the value in INR, EURO, and US Dollar. It works using the main characteristics of currency notes such as size color or printed text on it and also depends on differ in currency notes within the same country. We have considered INDIAN Rupee and US Dollar, the most used currencies in our domain with their denominations. This system works accurately and also able to quickly identify the currency notes.
Penerapan Model Pembelajaran Kooperatif Tipe Teams Games Tournament (TGT) untuk Meningkatkan Aktivitas Belajar Peserta Didik Kelas X.3 SMA Negeri 5 Tanralili Maros

This research was a classroom action research (CAR). The aimed was to find systematic steps of TGT learning model to increase the activity of student in X3 grade of senior high school 5 Tanralili Maros. This research was conducted in two cycles. The results showed that the steps in each stage of the learning model that can improve student learning activities were: (1) The class presenting stage conducted by explained the objective learning and associated the learning topics that have been studied previously by orally to students, (2) the group discussion stage conducted by divided students into the learning heterogeneous groups, instructed students to master the topic at home, instructed students to bring reading topics that related to the subject of discussion and explained to students the meaning of teamwork, (3) the group presentation stage conducted by provided students to convey the results of the discussion and instructed students to make a questions before presentation time began, (4) the game stage conducted by instructed students to solve the problems independently and to uphold the values of honesty, (5) the tournament stage conducted by provided students to represent their group at the tournament table with same scores game, (6) the awards stage conducted by giving the prizes to the best groups and provided motivation to the group not as a winner in order to try harder, (7) the conclusions stage done by students and teacher together, which the students concluded the topic must be based on learning objectives. By implementing these stages, the students learning activities increased by 32.50 %.
FasterV-RCNN: Efficient Point Cloud 3D Object Detection Framework

Recent advances in 3D object detection rely heavily on the representation of 3D data. Several high-performance 3D detectors rely on a point-based structure as it preserves precise point positions. However, point-level features incur high computation overheads due to unordered storage. Conversely, the voxel-based structure is better suited for feature extraction but often results in slow inference times as the interaction between points and voxels can be time-consuming. In this work, we propose a new point cloud detection framework that dynamically and adaptively processes raw input point cloud data to achieve higher inference speeds. We conduct extensive experiments on the widely used KITTI dataset, and our results demonstrate that our proposed FasterV-RCNN method achieves higher detection accuracy compared to existing LiDAR-only methods while maintaining a real-time processing rate.
Validitas E-Book Berbasis Problem Based Learning pada Materi Perubahan Lingkungan

Development of science and technology in the recent periode periode cannot be avoided, its influence on the world of education, including the development of teaching materials. E-Books are one of the teaching materials that can be used in supporting the learning process. The purpose of this research is to produce a valid Problem Based Learning E-Book. This research was conducted at PGRI University, West Sumatra and SMA Negeri 1 Padang Sago using the 4D model (Define, Design, Development, and Disseminate). This research was carried out until the Development stage. The assessment instrument used is a validation sheet that contains the evaluation sheets with 5 evaluation apeks namely content validity, language, presentation, graphic validity and Problem Based Learning syntax compatibility. The data obtained were analyzed by descriptive quantitative. Based on the results of the validity obtained from material experts, media experts, and biology teachers, it shows an average score of 88% of viewed content validity was 89% gained, skill gained 89%, presentation gained 88%, graphics gained 87%, and the Problem Based Learning stage achieved 87%. From these results, it can be concluded that the resulting Problem Based Learning E-Book is very valid.
Media Pembelajaran Object Detection Perangkat Jaringan Komputer menggunakan Machine Learning berbasis Desktop

Learning media is a link between teachers and students so that the process of educational communication interaction between teachers and students can take place in an effective and effective manner. The purpose of this research is to produce a learning media product for object detection of computer network devices using desktop-based machine learning. The type of research used is RD (Research and Development). This research uses the 4D development model, namely (1) Devine (defining stage) (2) Design (designing stage), (3) Development (development stage) and (4) Disseminate (dissemination stage). Data collection techniques through observation, interviews and questionnaires. This study involved 1 media expert, 1 material expert and respondents of class X students at SMK NU Kunduran as research subjects. The data analysis technique in this study used qualitative analysis. The findings of this research are learning media for object detection of computer network devices using desktop-based machine learning. The research results from the material expert trial received a percentage of 91,25%. Results from media expert trials get a percentage of 90,00%. The results of the student respondents resulted in a percentage score of 84,13%. From these results, it can be concluded that the learning media product for object detection of computer network devices with desktop-based machine learning is said to be feasible to be applied to learning the basics of computer network engineering and telecommunications.
Design and Evaluation of a Similarity Checking Tool for Indonesian Documents

The utilization of Learning Management System (LMS) technology is needed to support the implementation of asynchronous learning. LMS must be equipped with tools to detect plagiarism in student assignment documents. This study will compare several document similarities measures, namely Cosine, Jaccard, and Correlation Coefficient. Besides evaluating the performance, this paper also considers the tool’s quality from the user experience perspective. Monitoring user experience dependably and efficiently is vital for enhancing product quality. We investigate a few of the most often-asked questions associated with gauging the user experience and show how a questionnaire may provide straightforward answers. This study evaluates a similarity-checking tool for documents using the User Experience Questionnaire plus (UEQ+). Results have shown that our product is favored since it is easy to learn and use. Besides, it helps the user solve their tasks without effort. The results have provided a new direction for bettering the application in the long run.
Fire Detection System Using Transfer Learning Mobiledets with Google Coral USB Accelerator Based on Raspberry Pi 4

Fire is one of the most common disasters in the world. According report from the International Association of Fire and Rescue (CITF) No.24 in 2018 from 34 nations more than 3.114.061 fires happened and from 54 reported nations more than 16.847 deaths because of fire. An early detection system is needed for this problem. There are two methods for fire early detection by using sensors and a camera, the objective of this research is to make a detection system that combines two methods, using sensors (fire, gas, and humidity), and a camera with object detection models mobiles to detect fire and smoke. The use of Google Coral USB Accelerator is to speed up the object detection process from video and with Raspberry Pi 4 to make the system portable. Transfer learning is used on the pretrained Mobiledets model when we retrain it on a new fire and smoke dataset. The result of this research is a system that is capable of detecting fire and smoke from sensors and camera, giving user notification from a telegram bot in real time if the system detects fire and smoke by sending photos and messages, and also the advantage of the system created is that the user can control the water pump from telegram to extinguish the fire. Object detection models run with 27-34 FPS, and after testing the experiment 22 times the system has 77% accuracy. The resulting fire detection system still has weaknesses in detecting small fires and smoke, in future research, more small fire and smoke datasets and testing with more real conditions are needed.