Reviewerly/exHarmony huggingface dataset:
Web Application Server for the publication of Integrative Projects of UTJ – CCD Students

The publication of WEB applications corresponds to transmitting the projects carried out by students on the Internet, in this way they can be opened from any point with access to the world wide web. This project aims to publish WEB applications developed as final projects, allowing a favorable impact on the training of students, since it will provide them with a real approach to the development of this type of technological tools in the public and private industry. Derived from the various certifications that the university undergoes, the central final project server will serve as a central repository in the evidence warehouse. Additionally, a central Web system was developed for the management of Integrative Projects carried out at the end of each period at the Technological University of Jalisco at its Ciudad Creativa Digital site, based on the software engineering process, dividing the work into phases and supported by the Scrum agile methodology for the management of each of them.
Prototype design education for the teaching of mechanism kinematics: Application to the Scotch yoke mechanism

The present research focuses on the design, construction and manufacture of a didactic prototype based on the Scottish yoke mechanism. This device aims to provide an effective tool to visualize and understand the fundamental principles of its operation, as well as the associated kinematics. The integration of the traditional method of kinematics, the Velocity Polygon, with modern technologies such as computer-aided design (CAD), additive manufacturing, and automatic control is a key component of this project. The central objective of this controllable didactic prototype is to enable undergraduate students in mechatronics, mechanics, and industry to acquire technical skills and solve specific problems related to the mechanism of the Scottish yoke. To achieve this, an instrumentation system developed in LabVIEW is used to collect realtime information on the kinematics of the mechanism's joints (nodes). In addition, motion simulation is used through CAD design and the graphical method of the Velocity Polygon. A relevant discovery of this research is the confirmation that the device based on the Scotch yoke allows an effective representation of the kinematics, supported by the coincidence of the velocity of the sliding node in the three methods used (database generated by LabVIEW, CAD simulation and graphical method of the Velocity Polygon). This validates the efficacy of the prototype and highlights its usefulness as a practical educational tool for the development of technical skills and the resolution of problems specific to the mechanism of the Scottish yoke.
Hand image reading approach method to Indonesian Language Signing System (SIBI) using neural network and multi layer perseptron

Classification complexity is the main challenge in recognizing sign language through the use of computer vision to classify Indonesian Sign Language (SIBI) images automatically. It aims to facilitate communication between deaf or mute and non-deaf individuals, with the potential to increase social inclusion and accessibility for the disabled community. The comparison of algorithm performance in this research is between the neural network algorithm and multi-layer perceptron classification in letter recognition. This research uses two methods, namely a neural network and a multi-layer perceptron, to measure accuracy and precision in letter pattern recognition, which is expected to provide a foundation for the development of better sign language recognition technology in the future. The dataset used consists of 32,850 digital images of SIBI letters converted into alphabetic sign language parameters, which represent active signs. The developed system produces alphabet class labels and probabilities, which can be used as a reference for the development of more sophisticated sign language recognition models. In testing using the neural network method, good discrimination results were obtained with precision, recall and accuracy of around ±81%, while in testing using the multi-layer perceptron method around ±86%, showing the applicative potential of both methods in the context of sign language recognition. Testing of the two normalization methods was carried out four times with comparison of the normalized data, which can provide further insight into the effectiveness and reliability of the normalization technique in improving the performance of sign language recognition systems.
Cloud Storage Security: Threats, Solutions, and Future Directions

Cloud storage security is a paramount concern in today's digital landscape, as organizations increasingly rely on cloud services to store and manage their data. This research paper examines the threats, solutions, and future directions of cloud storage security, providing insights into the challenges faced by organizations and the strategies employed to mitigate risks. The paper explores various security threats such as data breaches, unauthorized access, and compliance issues, highlighting the importance of implementing robust security measures to protect sensitive information. Solutions discussed include encryption, access controls, security monitoring, and compliance frameworks, with a focus on integrating security into DevOps and CI/CD pipelines to ensure continuous protection. Additionally, the paper explores emerging technologies such as blockchain and homomorphic encryption, offering innovative approaches to enhance cloud storage security. Through case studies, real-world examples, and cost analysis, the paper illustrates the financial implications of cloud storage security initiatives and provides practical insights for organizations seeking to strengthen their security posture in the cloud.
Assessment Solutions to Cyber Security Challenges for Saudi Smart Cities from the Point of View of Specialists

Cybersecurity is one of the main pillars of Saudi smart cities, according to the Kingdom's Vision 2030. Therefore, the research sought to assess the appropriateness of some legislative, educational, and ethical solutions in facing cybersecurity challenges that threaten the security of smart cities from the perspective of specialists. The research aimed to identify these challenges, indicate the proposed solutions to confront them, evaluate them from the viewpoint of specialists, and contribute to facing them by proposing an educational project in this field. The research followed an analytical descriptive approach, as a questionnaire was prepared to identify the evaluative opinions of the legislative, educational, and ethical solutions to face cyber challenges threatening the security of smart cities from the specialists' point of view. It was distributed to a sample of 40 faculty members, 25 males and 15 females. The evaluation results showed the appropriateness of the solutions with a relative average of 95.77%, and the percentage of ethical solutions was 96.0%. This was followed by educational solutions with a percentage of 95.92%, then legislative solutions with a percentage of 95.3%. Regarding the procedural contribution to facing these challenges, 13 procedural recommendations were presented, and an executive framework for a proposed educational project was developed in accordance with the directions of the strategic vision of King Abdulaziz University and the Vision of the Kingdom of Saudi Arabia for 2030.
The Effectiveness of a Remote Training Program Based on the Integrated (STEM) Approach to Develop the Professional Efficiency of Female Science Teachers at the Intermediate Stage

The aim of the research is to determine the professional competencies that a science teacher must possess to teach in the light of the integrated (STEM) approach, and to build a proposed distance training program to develop these professional competencies. Subsequently, the impact of the proposed remote training program based on the integrated (STEM) approach in developing the professional competence of science teachers was studied. The research sample consisted of a random selection of 24 female teachers from various educational departments in the Kingdom of Saudi Arabia. In light of the (STEM) framework and its evaluation, the proposed training program was constructed, evaluated, and the research tool, the professional competency note card, was developed. Its evaluation included arbitration and the calculation of its honesty, stability, and internal consistency. This process was applied before the remote training program's implementation and afterward on the research group. The researcher concluded that the training program had a positive impact on the development of professional competence among the members of the research sample. The effect size of the training program on professional competence was 4.9, indicating a high impact. The percentage of female teachers who achieved a level of professional competence reached 90% or more for the dimensional measurement (52.2%) of the total sample. In light of these results, recommendations were made.
Stepped solar tracking model with different acceptance angles for various solar concentration schemes

In the last decade, the energy industry has taken a great social, environmental and economic impact due to the exponential increase in the use of fossil fuels. World governments have come to the conclusion that it is necessary to promote research and development of renewable energy technologies for their global exploitation. The energy potential of the Sun is shown as one of the most adaptable alternatives for domestic and industrial uses. Several mathematical models of direct solar radiation have been carried out using various solar tracking strategies; The importance of these systems lies in optimizing the amount of solar radiation in any type of collector. In this research work, the mathematical analysis of incident solar radiation on a flat surface is proposed using MATLAB of various solar tracking schemes in clear sky conditions for the geographical coordinates and climatological conditions of the city of Zacatecas. When comparing the different cases of solar tracking, the following is observed: (a) More solar radiation reaches the surfaces that comply with some sun tracking scheme per month, compared to those surfaces that do not move. (b) The surface that receives the least amount of solar radiation every month is the horizontal surface. The solar irradiation per month estimated for this case is approximately 25% below the maximum calculated value corresponding to the monitoring of heliotrope-type solar collection. Regarding the comparative analysis of the data obtained, it can be seen that: The clear sky model prepared by ESRA has a behavior very close to the data from the Zacatecas_04 Solarimetric Station, having a difference with a maximum value of 0.13% for the month of January same year.
Artificial Intelligence of Internet of Things (AIoT) Technology-based Law Enforcement Process

Technological developments are increasingly developing in all fields, unstoppable in the area of law and the role of this IoT technology in solving legal problems, considering Society 5.0, which focuses on building a humane and prosperous society, especially people in Indonesia. And the role of IoT on the legal side is expected to be the answer for an appropriate and fair law enforcement process. IoT Technology collaboration with all sectors of human life, for example, legal, social and economic, as well as natural resource factors and human resources, are still needed. IoT is expected to be a tool to achieve a level of accuracy, real-time, fast, and stability. In the era of Society 5.0, all aspects were asked to be fast so as not to be left behind in any sector; the ability factor of the human being, namely human resources, also determines whether a matter or case can be appropriately resolved. This article is one of the review articles on the role of IoT in law enforcement. Some parameters within the Internet of Things form Artificial Intelligence, Deep Learning, Big Data, and Machine Learning. Solutions with AI can be seen in the lie detection system.
Effect Item Response Theory Models and Estimation Method on Accuracy Estimating Item, Ability Parameters of Cattell Intelligence Test

The current research aimed to identify the effect of selecting item response theory models and estimation methods and the interaction between these two variables on the accuracy of estimating item parameters of the Cattell intelligence test and the abilities of individuals. The research instruments used were Cattell's third-scale intelligence test (form A). The participants were (1104) male and female participants from Northern Border University in the Kingdom of Saudi Arabia; the mean for their ages was (20.80) with a standard deviation of (1.31). Using the statistical programs (SPSS- BILOG-MG) the statistical techniques (Two-way ANOVA, independent samples t-test, Scheffe test), the results revealed that there were statistically significant differences in the accuracy of difficulty parameter estimation due to the difference in the model used in favor of one model. There were no statistically significant differences in the accuracy of difficulty parameter estimation due to the difference in the estimation method or the interaction between the model and the estimation method. There were statistically significant differences in the accuracy of discrimination parameter estimation due to the difference in the model used in favor of the two models. There were no statistically significant differences in the accuracy of discrimination parameter estimation due to the difference in the estimation method or the interaction between the model and the estimation method. There were statistically significant differences in the abilities of individual estimation accuracy due to the difference in the model, estimation method, the interaction between the model used and the estimation method.
Decision Support System for Selecting Social Assistance Recipients using The Preference Selection Index Method

This research aims to solve the problem of selecting social assistance recipients in the Nagori Moho area, Java Marajah Bah Subdistrict, Jambi, Simalungun District; in order to obtain the right targeted recipients of social assistance, the Nagori office carries out the selection of its residents, this selection is carried out by implementing a computer-based decision support system (DSS). The decision support system uses the PSI method. The criteria used in this method consist of economic condition, income, jobs, age, and dependents of the school children. The results obtained from this research are recommendations for the population receiving aid with results consisting of rank 1 with the alternative value S_Purba with a value of 0.9286, then rank two with the alternative F_Azhar with a value of 0.7599, and rank 3 is Jumiati with a value of 0.7163. This decision support system can make it easier for the Nagori office to select residents worthy of assistance.
Smart System for Stabilizing Water Flow Output on Android-Based Taps

This study aims to produce and find out the results of the Smart System Stabilization Water Discharge Output Test on Android-Based Faucets based on the results of water flow sensor readings whose data is used as a reference for the rotation of the Adj or Adjustable Water Pressure Reducing Regulator Valve. The tests were carried out in the form of measuring water flow without and with Adj and measuring water discharge without and with Adj. Based on the research results, the water flow without Adj is 7 L/min for tap 1.9 L/min for tap 2. The water flow with Adj for both taps is 8 L/min. The flow of water from both taps is more stable with Adj than without Adj because the flow of both taps is 8 L/min. The measurement results of the water discharge without Adj are 0.1216 L/s for tap 1 and 0.1470 L/s for tap 2; the difference in water discharge is 0.0254 L/s. Water debit with Adj 0.135 L/s tap 1 and 0.14125 L/s tap 2, the difference in water discharge is 0.00625 L/s. The water debit is more stable with Adj than without Adj because the difference in water discharge is smaller.
The Relationship of Teacher Activity in the Teaching and Learning Process to Elementary Student Learning Outcomes Using Bootstrap Machine Learning

Often, after the learning and teaching process is over, students will be tested with quizzes, midterm exams, and even end-of-semester exams, but these exams still take time after the teacher has taught several weeks or months that have passed; what if after teaching, for example, a math lesson, and students immediately understand or do not understand at all, and this can be detected using Machine Learning. The variable that can be raised is the value or quiz grade of a particular subject; for example, mathematics is one of the disliked subjects for most elementary school students, but how to find out that the student is able or unable to solve math problems and predict the end of semester grades for mathematics, this can be determined using Machine Learning, using the KNN Algorithm or K-MEANS method, or other methods that are deemed appropriate to the existing case study. In this case study, it is predicted whether a variable affects each other or affects other variables; this is done by doing or drawing relationships between variables. This research successfully concluded from the performance of machine learning in predicting students' understanding of math lessons after teaching and learning activities ended. The parameters that will be used for testing are population and sampling, and then data analysis, validity, and reliability tests are carried out.
Penggunaan Media Pembelajaran Policermat (Monopoli Cerdas Cermat) untuk Meningkatkan Hasil Belajar IPAS di Sekolah Dasar

This study aims to improve IPAS learning outcomes using Smart Monopoly media in class IV students at SDN Ngariboyo 4, Ngariboyo District, Magetan Regency. This type of research is Classroom Action Research. The instruments used were observation sheets and evaluation questions. The data analysis technique is quantitative. The media used is Smart Monopoly. The results showed that students' science learning outcomes had increased. In the pre-cycle, the average student learning outcome is 70, including the moderate category, and the proportion of student learning completeness is 30.76%. In cycle I, the average student learning outcomes and the proportion of student mastery increased to 74.23 and 38.46%. Cycle I did not meet the requirements of the experiment, and improvements were made. In cycle II, the average student learning outcomes were 90.76, included in the very good category, and the proportion of student learning completeness was 92.30% and met the research success criteria.
Teachers’ Competency on the Four Pillars of Digital Literacy in Guiding Students to Use Social Media Wisely

Technological development is rapid and unavoidable. Every individual, not limited to age, educational background, profession and others, can access information digitally. But unfortunately the rapid development of digital technology is not accompanied by the anticipation for its users. This is a qualitative research with a phenomenological approach. Data collection is done by Unstructure interview. The researchers classified the informants based on their teaching experience, namely (a) teachers with less than 10 years of teaching experience, (b) teachers with 10-20 years of teaching experience, and (c) teachers with more than 20 years of teaching experience. The results of the study show that not all teachers understand and implement digital literacy. Teachers with the old paradigm or those who on average have more than 20 years of teaching experience, do not give their students enough freedom in the aspects of digital skills, namely, critical thinking, creativity, communication skills and collaboration. Teachers with the old paradigm seem less able to accept criticism from their students or if there are things where students don't share the same ideas as their teachers. Teachers with the old paradigm also still have big concerns if their students collaborate with students from other schools for security reasons, and tend to direct students to use their electronic devices only for learning and not for other things. From the differences in perceptions among these teachers, education or training related to digital literacy for teachers is very urgent to be implemented.
Pengembangan Multimedia Pembelajaran Interaktif Berbasis Video Mata Pelajaran Pendidikan Agama Islam untuk Meningkatkan Minat Belajar Siswa

This research aims to produce an interactive multimedia that is suitable for Islamic religious education learning activities with commendable properties and ablution. In this study, it was developed using the ADDIE research model (Analyze, Design, Development, Implementation, Evaluation). The data collected are qualitative and quantitative data using several data collection methods, including: observation method, interview method, and questionnaire method. The results showed (1) Design the development of interactive learning multimedia. The steps taken are: (a) analyzing needs, (b) design, (c) development and implementation, valid with the results of subject expert reviews with very good qualifications 96.22%, the results of learning media expert reviews are very good 98%, the results of learning media expert reviews are very good 95%, individual trial results with good qualifications are 94%. The results of small group trials with excellent qualifications are 95.55%. Based on the validation test, the development of interactive learning multimedia shows effective results, so it is suitable for use in the process of learning activities.
An Analysis of Student’s Speaking Problems in English Daily Communication Program at Islamic Boarding School

This research analyzed students’ speaking problems and the factors that caused the problems faced in English daily communication. This research used descriptive qualitative as the research design. The research subject was 30 students in the fourth grade of Al Iman Islamic Boarding School for Females. This research data was collected through observation, interviews, and questionnaires. To analyze the data, the researcher used three major phases of data analysis: data reduction, data display, and conclusion drawing/ verification. This study showed that each student faced different problems in speaking English daily. Some students faced inhibition, nothing to say, lack of participation, and mother tongue use. Where all the problems were caused by some factors called linguistic factors, psychological factors, and environmental factors that played important roles in supporting students in improving their speaking skills.
Using Pop-Up Book in E-Learning to Improve Students Vocabulary Mastery Student

This research aims to test the effectiveness of using Pop-Up Books to increase students' vocabulary. Pop-Up Book is implemented for students in E-learning using YouTube videos. This research uses a quasi-experiment design with non-equivalent control groups. By conducting tests on two groups, this research design combines pre-test, treatment, and post-test research. The author uses a test for students created to measure student achievement in increasing vocabulary using Pop Up. Test to determine the difference in students' vocabulary mastery between the experimental group and the control group after the learning process using Pop-Up Books or without using Pop-Up Books. The population in this study were class VII students at MTs PSM Randublatung Blora for the 2021/2022 academic year. Two classes of class VII students at MTs PSM Randublatung, Blora, were used as samples. The control group is the first class, while the experimental group is the second class. Class VII C is the control group, while VII D is the experimental group. The results of this research indicate that the use of Pop-Up Books to increase students' vocabulary is effective. The test results show that the average score is 86.44, which is in the good range. With a rate of 59.03%, the use of Pop-Up Books as learning media is quite effective.