Reviewerly/exHarmony huggingface dataset:
Penerapan Pembuatan Desain Logo dengan Corel Draw pada Siswa SMK Handayani Makassar

This service activity has a long-term goal to realize SMK Handayani Makassar students who have knowledge and creativity in the computer field, especially for design applications. The short-term goal is to educate students in using tools in graphic design applications, namely Corel Draw, so that students are expected to be able to design and develop students' creative talents in the field of design. This activity was carried out with a comprehensive mentoring method to students of SMK Handayani Makassar through socialization of graphic design applications, using the Corel Draw application. The final output that will be achieved from this activity is an increase in students' ability to use computers as a tool for developing student creativity in the field of design. In addition, students have a guide to using the Corel Draw application to help students use tools and develop into image designs or logo creation. Scientifically, the ultimate goal in this service activity is to publish the results of this service in service journals or mass media publications.
DECISION SUPPORT SYSTEM FOR DETERMINATION OF SCHOLARSHIP USING SCRATCH PROGRAMMING BASED ON SAW METHOD

Scholarships are one of the efforts to provide financial assistance or support to individuals who are expected to be able to support the need in the process of taking education. In 2020, 1st State Vocational School of Cepu had more than 1000 students and from 300 scholarship submissions only 9 people managed to get a scholarship. Therefore a tool is needed to select students who are entitled and less entitled to get scholarships. Decision Support System is one of the tools that can be used to calculate to select the students. The method used is Simple Additive Weighting(SAW) because the method is a simple but it’s still an accurate method, because it has a very low error level. The aim of this study is to apply the Simple Additive Weighting(SAW) method for Decision Support System scholarships using Scratch Programming which is a programming language that is fairly newly developed and easy to apply to various attractive creations with a shorter time compared to using other programming languages. The criteria used in this study are parent’s income, parent’s dependents, Home-to-school Distance , and the students age. The results obtained and analyzed from this study concluded that the testing system using Mean Square Error(MSE) has a very low level of error which is equal to 1.3312E-31 it can be said that the system is accurate, and from the test functionality using the Black Box obtained 100% results.
IMPLEMENTATION OF THE DECISION TREE MODEL ON MACHINE LEARNING TO PREDICT POTENTIAL NEW STUDENTS

According to a previous study, “Implementation of Naïve Bayes Classifier-based Machine Learning to Predict and Classify New Students at Matana University” has an accuracy of 0.73 or 73%. This is not optimal, the accuracy needs to be improved. In this research, to increase accuracy by using a different model, namely the Decision Tree model. The reason for choosing the Decision Tree is that there are not many predictors used (4 predictors) and can be used for classification or prediction. The 4 predictors are frequency, position, majors of students in SMA/K, and research programs of interest. The target is the entry status of prospective students. The research procedures that were tried were information gathering, pre-processing, machine learning processes with the Decision Tree model and visualization of the results. The programming language used is Python. The results of this Decision Tree show changes, through 10 executions the average accuracy of the ratio of training information and test information is 70: 30 of 0.727 or 72.7% (lowest accuracy is 47% and highest is 87%), for a ratio 80: 20 of 0, 73 or 73% (the lowest accuracy is 60% and the highest is 90%). Thus, the results of the Decision Tree model on average have not exceeded the results of the Naïve Bayes Classifier model. Further research, increase the amount and alteration of information, reduce the difference in results each time the model is executed, try other models, and improve the application ready to use.
FrauDetect: Deep Learning Based Credit Card Fraudulency Detection System

Huge increase in the internet usage has been observed since last decade. It led to the emergence of services like e-commerce, tap and pay systems, online bill payment systems, etc. have proliferated and become more widely used. Due to various online payment options introduced by e- commerce and other numerous websites, the possibility of online fraud has risen drastically. Thus, due to an increase in fraud rates, research on analyzing and detecting fraud in online transactions has begun utilizing various machine learning techniques. The Deep Learning techniques viz., Convolutional Neural Network Architecture is used to detect credit card frauds in the proposed model. The Principal Component Analysis transformation gives a set of numerical input variables as output which are taken as the features to be considered. Due to confidentiality concerns, some of the original characteristics and background information about the data are not entirely disclosed. Features of credit card frauds must be chosen carefully as they play important role when deep learning techniques are used for credit card fraud detection. The TensorFlow and Keras are used for the development of the current proposed model. The proposed model aims to predict credit card frauds with 91.9% accuracy. Key Words: Credit card, Fraudulent, Deep learning, Principal Component Analysis, TensorFlow, Keras
A Comparative Study of Graph Search Algorithms for Planar Manipulator to Avoid Obstacle Collision

The search algorithms are characterized by their ability to find the optimal path in a short calculation time. In this study, a comparative analysis has been conducted to perform path planning of planar manipulator for static obstacle avoidance based on graph search algorithms. Four methods have been taken into account to establish a comparison platform; namely, conventional A*, modified A*, Chaos A*, and circulation heuristic search (CHS) algorithms. The performance of comparison is evaluated in terms of length of optimal path and consumption time of calculation. All algorithms have been coded and simulated within the MATLAB software environment. According to computer simulation, the results showed that CHS algorithms outperform the other graph search ones in terms of generated path length, while the Choas A* could give the least calculation time as compared to its counterparts. Index Terms— Path planning, A-Star, Modified A-Star, Chaos A-Star, CHS, Planar manipulator.
The Use of Ulead Studio Program Products (UVIOPro) to Improve the Students’ Writing Skill

The study aims to find out whether or not the use of UVIOPro is effective to improve the students’ writing skill, particularly in terms of content, organization, and mechanics. This study applied a Quasi-Experimental design. The sample of this study was the second semester students of English Education department at Faculty of Teacher Training and Education at University of Muhammadiyah Makassar in academic year 2014/2015. Therefore, the sample was determined with a cluster random sampling by applying a lottery technique. Hence, it consisted of 60 students divided in two groups. The data were collected through writing test, which consisted of pretest and posttest. The data were analyzed by using descriptive and inferential statistics through SPSS version 20. The findings show that the students’ writing skill, particularly in terms of content, organization, and mechanics improved after giving the treatments. The results of t-test analysis for the students’ score improvement in terms of content and organization in experimental and control groups reveals that Sig. (2-tailed) is less than (α) = 0.05. Based on the findings, it can be concluded that the use of UVIOPro in teaching writing was effective to improve the students’ writing skill in terms of content, organization, and mechanics.
The Delineation of the Langat Basin Aquifer Based on Geological and Hydrogeological Characterization of Three Urban Areas of Malaysia

Aims: The aim of this study is to find out the hydrogeological settings and aquifer properties of Kajang, Bangi, and Semenyih urban areas to overcome the mismanagement of groundwater.&#x0D; Study Design: The scarcity of groundwater is one of the major concerns of urbanization in growing populated countries like Malaysia. Lack of knowledge of subsurface geology, hydrogeology and aquifer properties is the main reason for the groundwater mismanagement of the Langat Basin.&#x0D; Place and Duration of Study: The study targeted three growing urban areas Kajang, Bangi and Semenyih of Malaysia. Data were collected from the Mineral and Geosciences Department, Malaysia. Borehole logs, pumping tests and groundwater level monitoring data have been analysed and interpreted for this study.&#x0D; Methodology: Subsurface logs have been produced by the Strater Demo4 software; Water level analyses have been done by the groundwater level monitoring data, the contour map was plotted by using ArcGIS software with calculated groundwater head values and the Pumping test curve has been prepared by using Excel 2007.&#x0D; Results: Study areas are situated in Kenny Hill formation. Water is pumped from four types of formations they are; hard rock, weathered sedimentary, shallow sedimentary and a combination of alluvium and hard rock. Groundwater flow direction is controlled by the topography, from the hilly north-eastern side to the low elevated south-western side. The identified aquifer condition of the Kajang area is confined, boundary and consolidated fractured. Water is pumped from the confined fractured aquifer in Bangi town and from the leaky, consolidated fractured and unconfined aquifer in Semenyih town. Transmissivity and Specific capacity of all types of aquifers show a range of 2.35m2/day to 25.92m2/day and 2.64 m2/day to 41.28m2/day respectively.&#x0D; Conclusion: This study will help to establish robust policies for the sustainable development of groundwater.
Realitas Virtual Dan Penelitian Pendidikan Dasar: Tren Saat Ini dan Arah Masa Depan

This research explores the utilization of virtual reality (VR) in educational settings and examines current trends, future directions, benefits, and challenges associated with its implementation. The purpose of this library research is to provide an overview of the existing literature on VR and educational research, highlighting the potential of VR technology to enhance traditional teaching methods and improve student engagement, motivation, and learning outcomes. The method used for this research is a comprehensive review and analysis of relevant scholarly articles, books, and reports from academic databases and libraries. The results indicate that VR has been utilized in educational research to create immersive and interactive learning experiences, personalize instruction, bridge the gap between abstract concepts and concrete understanding, and foster critical thinking and problem-solving skills. VR also presents challenges such as cost, accessibility, curriculum integration, teacher training, technical limitations, health and safety concerns, privacy, and ethics. However, the research concludes that with careful planning, adequate resources, and proper support, VR has the potential to revolutionize education and prepare students for a technologically advanced future. Further research and innovation in areas such as immersion, AI integration, collaboration, assessment, accessibility, and ethics are recommended to fully leverage the benefits of VR in educational settings.
Formation of media competence at higher educational institutions: analysis of students – future teachers’s opinions

Introduction. Every year the world is witnessing changes in the information environment as well as the rapid growth of information volumes, which has a strong influence on people’s consciousness and behaviour. The formation of media competence is becoming relevant in these conditions; this issue is actively researched in pedagogical science worldwide. Therefore, media competence is viewed as an integral part of modern man’s education. When addressing the conditions of its formation at a pedagogical university, it is important to consider the opinion of students – future teachers. The aim of this article is to analyse students’ opinions in the sphere of media competence and to outline the conditions of its formation within the framework of a pedagogical university. Methods. The empirical study involved 112 respondents – students of the Institute of Historical, Legal and Socio-Humanitarian Education under Bashkir State Pedagogical University named after M. Akmulla (Ufa, Russian Federation). The main research methods comprised: analysis of pedagogical, psychological and methodological literature, Internet resources; study of pedagogical experience; observation (practice of creating conditions for forming media competence); interpretation of obtained results (survey of students aged 17 to 22 – the most active age group that is supposed to possess media competence). Results. The study revealed the opinions of students – future teachers regarding the process of media competence formation in the conditions of higher educational institution, as well as to identify the level of their knowledge in terms of several components: information, interpretation (evaluation), security, knowledge. The obtained results substantiated the below conditions that are important to create within the period of training at a pedagogical university: organisational-pedagogical; psychological-pedagogical; pedagogical; material and technical; strategic. Conclusion. Pedagogical university students have certain knowledge in the sphere of media, albeit segmentary. In order to structure this knowledge, it is necessary to add a number of skills – those connected with the use of social media, mobile and distance learning, cloud technology – to the list of skills to be developed in pedagogical education. The use of media and information technologies in evaluating educational outcomes of pedagogical university students (e.g., demonstration examination) is specifically important in the appraisal system.
Statistical Approach of Selected Heavy Metals in the Sediments of the Mfouati River (South of Congo Brazzaville)

Aims: The general objective of this study was to evaluate heavy metals [Molybdenum (Mo), Cobalt (Co), Cadmium (Cd), Nickel (Ni), Antimony (Sb), Bismuth (Bi)] in the sediments of the Mfouati River near the area impacted by the mining operation.&#x0D; Study Design: The sediments were collected in the area near the abandoned plant and in the vicinity. At the end of the sampling, the samples were analyzed by Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES).&#x0D; Place and Duration of Study: Sediments were collected in the Mfouati River near the area impacted by the mining operation, these samples were taken in September 2021.&#x0D; Methodology: X-ray diffraction was performed on the sediments of the Mfouati River, the physico-chemical parameters were measured with a Hanna type apparatus. The contents of heavy metals (Mo, Co, Cd, Ni, Sb, Bi) in the sediments were measured by optical emission spectroscopy (ICP-OES). The level of metallic contamination, the indices of evaluation of the contamination (FC, FE, Igeo) were calculated by using the expressions which exist in the literature.&#x0D; Results: The results obtained show that the physical-chemical parameters (pH, EC and TDS) measured are within the standards (WHO). Only the pH which presents a slightly acid character at the stations (S4, S5, S6). The heavy metal contents found (mg/Kg) vary between Mo: [0,05-23] ; Co:[10-39] ; Cd[0,1-63] ; Ni[7-36] ; Bi[0,164-0,169] ; Sb[1-29]. X-ray diffraction showed the presence of the following minerals: Talc and Kaolinite. The results of contamination factor showed the following order:FC(Cd)&gt; FC(Sb) &gt;FC(Mo) &gt;FC(Co) &gt;FC(Bi) &gt;FC(Ni);enrichment factor the order is as follows: FE(Cd)&gt;FE(Sb)&gt;FE(Fe) &gt;FE(Bi) &gt;FE(Mo); geo accumulation index the order is as follows:Igeo(Ni)&gt;Igeo(Co) &gt;Igeo(Mo) &gt;Igeo(Sb) &gt;Igeo(Cd) &gt;Igeo(Bi).&#x0D; Conclusion: The levels of metals Co, Cd, Ni, Sb, Mo in the sediments of the Mfouati River are higher than the concentrations in the terrestrial crust.
Development of a model of employee’s digital competencies in the conditions of the enterprise digital transformation

Introduction. A necessary condition for the implementation of digital transformation at the enterprise is the formation of relevant competencies among its employees, allowing them to freely carry out their activities. The active use of information technologies, digital solutions and the reduction of routine operations form the need for the development of digital competencies of employees of enterprises, especially high-tech ones. The purpose of this study is to develop a model of digital competencies of employees in the conditions of digital transformation of the enterprise. Materials and methods. In order to develop a model of digital competencies of employees of the enterprise, competence-based and heuristic approaches were used, as well as a method of Analytic Hierarchy Process (AHP). The basis of the empirical base of the study was the conclusions of 10 experts working at a large machine-building enterprise (Rostov-on-Don, Russian Federation), obtained as a result of brainstorming. Based on its results, 8 universal digital competencies of employees were selected. A matrix of their pairwise comparisons was compiled based on the results of the expert survey, in the form of a pairwise comparison on a scale from 1 to 9, and the matrices were normalized and the consistency of expert responses was checked. The consistency ratio S for all comparison parameters ranged from 0.13 to 0.19, that is, S &lt;0.2, that is, there are no contradictions in expert estimates and no refinement of the matrices is required. A pairwise comparison of competencies was carried out for three professional groups of employees: managers, specialists (engineers) and workers. As a result, priority digital competencies were identified and a ranked list of them was obtained. Results. The study showed that the models of digital competencies are different for different professional groups of employees due to differences in the factors of intellectualization, creativity of work and responsibility. The priority of the key digital competencies selected by experts varies for different professional groups. For managers, the most priority digital competence is "communication and cooperation in the digital environment" (weight factor 0.65), for specialists (engineers) – "solving technical problems in the digital environment" (0.59), for workers – "ensuring digital security" (0.42). Conclusion. The results of the study allow us to conclude that it is important to determine the priority digital competencies of different professional groups of employees in the conditions of digital transformation of the enterprise. The use of the AHP methodology is advisable for developing a model of universal digital competencies of employees, and this algorithm can also be used to establish the priority of professional (special) digital competencies for each more specialized group of employees. The prospects for the development of digital competencies of employees are seen in the improvement of personnel development programs based on their training.
The Analysis of Transitivity System in Tourism Destination Brochure Based on Systemic Functional Linguistic

The effectiveness of using language in a brochure is not something that easy to interpret. Information and understanding must be clear and concrete. A good and correct brochure from Systemic Functional Linguistics (SFL) perspective is objectivity that can be understood in terms of appropriate content. The application of SFL in daily activities may simplify the meaning of text sentences so that people could decipher the meaning carefully and minimize misunderstanding the meaning of the related texts. The research was intended to: (1) identify and analyze a transitivity system in the tourism destination brochure of Dinas Kebudayaan, Kepemudaan Olahraga dan Pariwisata Kabupaten Sumenep (2) find out the dominance of the process type in the ideational metafunction in the language used in the brochure. This research was supported by the theory of Halliday and Matthiessen (2004). This study used a qualitative description to develop a research index in terms of analyzing, describing, and agglomerating the existing brochure at the Gili Labak tourism destination, Sumenep, Madura. The results found that transitivity systems have a role to make meanings in a clause and the relational process was the dominant type of process involved in the brochures. This research is expected to be a reference for further research by discussing Systemic Functional Linguistics thus it becomes the data that has solutions for the application of language that parses through processes in ideational metafunction.
Automated generation of SPARQL queries from semantic mark-up

Regulations and requirement documents contain normative knowledge that needs to be compared against actual and proposed built assets, if safety and social expectations are to be met.Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations.This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models.The desirability of using SPARQL is discussed.
Enhancing GPU Performance for SHA-3 Algorithm: Optimizing Hashing Operations in a Parallel Computing Environment

Software implementation of Hash function have not been able to offer satisfactory performances for various application thus far. Additionally, SHA-3 and SHAKE, which utilize SHA-3, are extensively utilized in many Post Quantum Cryptosystem (PQC) . Therefore, there is a need for research to optimize SHA-3 in the software environments. Our proposal involves an optimized software implementation of SHA-3 on a GPU environment. To improve performance efficiency, we suggest various techniques such as optimizing the internal processes of SHA-3, inline PTX optimization, efficient memory usage, and asynchronous CUDA stream application. After implementing these optimization methods, our SHA-3(512) (and SHA-3(256)) algorithm provides a maximum throughput of 88.51 Gb/s (and 171.62 Gb/s) on the RTX2080Ti GPU without CUDA stream. The proposal aims to optimize the software implementation of SHA-3 in a GPU environment to enhance performance efficiency. The suggested techniques include internal process optimization of SHA-3, inline PTX optimization, efficient memory usage, and the application of an asynchronous CUDA stream. After applying these optimization methods, our SHA-3(512) and SHA-3(256) algorithms provide a maximum throughput of 88.51 Gb/s and 171.62 Gb/s, respectively, on the RTX2080Ti GPU without CUDA stream.