Reviewerly/exHarmony huggingface dataset:
MACHINE LEARNING FOR DETECTING CYBERCRIME IN THE BANKING SECTOR

In the digital age, the escalating threat of cybercrime poses a significant concern, impacting critical areas such as privacy, national security, societal norms, and intellectual property rights. This research paper addresses the urgent challenge of cybercrime detection within the banking sector, with particular emphasis on safeguarding customer information and preventing financial losses. In this study, we employed various classification models to forecast instances of cybercrime in the banking industry. Specifically, we explored and compared the performance of 11 machine learning models, including K-nearest neighbors (KNN), random forest (RF), naive Bayes, gradient boosting, multi-layer perceptron (MLP), decision tree, AdaBoost, support vector machine (SVM), linear support vector classification (linear SVC), a voting classifier, and XGBoost algorithms for binary classification within the banking domain. The primary objective of this research is to enhance the accuracy and efficacy of cybercrime detection within the banking sector. We used a comprehensive dataset with features such as login attempts, transaction amounts, device attributes, and geographic location. The evaluation of model performance included critical metrics such as accuracy, precision, recall, and F1 score. The study’s outcomes highlighted the exceptional performance of several models, with the RF model emerging as the top performer, achieving a remarkable accuracy rate of 99.99%. In addition, other models, including gradient boosting, decision tree, AdaBoost, SVM, and XGBoost, closely followed with an accuracy of 99.98%. These findings underscore the remarkable ability of these models to accurately identify instances of cybercrime, offering promising prospects for enhanced cybersecurity within the banking sector. Keywords: Cybercrime, Machine Learning, Banking Sector, E-Banking DOI： https://doi.org/10.35741/issn.0258-2724.58.5.60
ABNORMAL BEHAVIOR DETECTION IN SURVEILLANCE SYSTEMS USING RESNET50: A TRANSFER LEARNING APPROACH

With the proliferation of cameras and surveillance systems in metropolitan areas, a notable concern for the scientific community in computer vision revolves around devising automated techniques to interpret video-based scenes. Activities of particular interest may indicate potential security threats to people, places, or objects. Most techniques related to this subject have concentrated on recognizing people’s actions and activities. Consequently, these methods identify any abnormal actions that might be considered suspicious. This study develops an automated technique for detecting abnormal behavior in surveillance systems and explores the effectiveness of transfer learning using the ResNet50 architecture. This study improves the accuracy and efficiency of abnormal behavior detection in video-based scenes, thereby enhancing the ability of surveillance systems to identify potential security threats. This model is fine-tuned using three distinct datasets (UCSD (Ped1, Ped2) and CUHK Avenue), comprising both normal and abnormal behaviors. Experimental results show that our transfer learning approach achieves state-of-the-art performance on all three datasets, outperforming several baseline methods. Our approach demonstrated good generalization ability, performing well on a separate test set from each surveillance dataset. The novelty of this study lies in the proposed transfer learning approach for abnormal behavior detection in surveillance systems. This study demonstrates state-of-the-art performance on multiple datasets by leveraging a pre-trained ResNet50 model and fine-tuning with diverse datasets, including normal and abnormal behaviors. Keywords: Anomaly Detection, Deep Learning, Unsupervised Learning, Abnormal Behavior DOI： https://doi.org/10.35741/issn.0258-2724.58.5.61
High-Performance Detection-Based Tracker for Multiple Object Tracking in UAVs

As a result of increasing urbanization, traffic monitoring in cities has become a challenging task. The use of Unmanned Aerial Vehicles (UAVs) provides an attractive solution to this problem. Multi-Object Tracking (MOT) for UAVs is a key technology to fulfill this task. Traditional detection-based-tracking (DBT) methods begin by employing an object detector to retrieve targets in each image and then track them based on a matching algorithm. Recently, the popular multi-task learning methods have been dominating this area, since they can detect targets and extract Re-Identification (Re-ID) features in a computationally efficient way. However, the detection task and the tracking task have conflicting requirements on image features, leading to the poor performance of the joint learning model compared to separate detection and tracking methods. The problem is more severe when it comes to UAV images due to the presence of irregular motion of a large number of small targets. In this paper, we propose using a balanced Joint Detection and Re-ID learning (JDR) network to address the MOT problem in UAV vision. To better handle the non-uniform motion of objects in UAV videos, the Set-Membership Filter is applied, which describes object state as a bounded set. An appearance-matching cascade is then proposed based on the target state set. Furthermore, a Motion-Mutation module is designed to address the challenges posed by the abrupt motion of UAV. Extensive experiments on the VisDrone2019-MOT dataset certify that our proposed model, referred to as SMFMOT, outperforms the state-of-the-art models by a wide margin and achieves superior performance in the MOT tasks in UAV videos.
Data Acquiring

This chapter provides an extensive overview of the various sources of Earth remote sensing satellite imageries that can be accessed and utilized using the open-source software, Quantum Geographic Information System (QGIS). It delves into a comprehensive examination of the ownership and origins of these sources, shedding light on the entities responsible for their generation. The chapter further elucidates the specific sources available, encompassing renowned satellites such as Advanced Land Observing Satellite (ALOS), Landsat, Sentinel, Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), PlanetScope, Tellus Traveler, and Copernicus Data Space Ecosystem.
Meningkatan Keaktifan Belajar Siswsa Melalui Model Pembelajaran Problem Based Learning (PBL) Kelas IV FASE B Di SDN 16 Menawai Tekam

The purpose of this study is to improve student activeness and learning outcomes through the application of problem-based learning (PBL) learning models.The type of research used is PTK. The subject of research of students of grade IV. Data collection techniques use tests, observation data, activeness assessment rubrics. The data analysis techniques used are descriptive, quantitative and qualitative. The results of the study on learning activity in the precycle (64.87%) 10 inactive students in cycle I increased to (24.32%) 9 students were quite active and in cycle II increased to (83.78%) 14 students who were active. Meanwhile, precycle learning outcomes showed completeness of (41%) 10 students completed then increased in cycle 1 to (54%), 14 students completed and (81%) 14 students completed in cycle II. Thus, through the application of the problem-based learning (PBL) learning model, it can increase the activeness and learning outcomes of grade IV students of SDN 16 Menawai Tekam.
Meningkatkan Hasil Belajar PAKat dan Gotong Royong Melalui Model PBL Fase A SD Negeri 04 Ngarak

Researchers found that SDN 04 Ngarak students had poor literacy and numeracy skills. Students with conditions like this tend not to be motivated to learn, therefore researchers apply one of the learning models, namely Problem-based learning. This research was conducted to (1) improve mutual cooperation through the PBL model in grade II A SDN 04 Ngarak students, (2) improve learning outcomes through the PBL model in grade II A SDN 04 Ngarak students, (3) improve learning completeness through the PBL model in grade II A SDN 04 Ngarak students. This study is a classroom action research consisting of four steps that must be carried out in each cycle. The four steps are (1) planning; (2) implementation; (3) observations; (4) reflection. The subjects of this study were 21 students. Data collection techniques in this study used tests, observation and documentation. Data analysis techniques use descriptive analysis and are explained with graphs and tables. The result of this study is that in cycle I, cognitive test results showed 29% proficient, 14% proficient, 43% viable, and 14% newly developed. The target teachers are 50% proficient, 45% proficient, 5% feasible, and 0% newly developed. In cycle II, there was a significant increase with 71% of participants in the advanced category and 29% proficient. This result exceeds the target of cycle II, which is 70% proficient and 30% proficient. Feasible and newly developed to reach 0%, in accordance with the target. With PBL, there is an improvement in learner learning outcomes, validating the effectiveness of the model in achieving learning objectives.
Upaya Meningkatkan Motivasi Belajar Siswa Kelas IV Fase B Mengembangkan Kemampuan Diriku Secara Mandiri Melalui PBL Pada PAK di SDN 20 Tekudak Tahun Ajaran 2023 / 2024

This research aims to describe the increase in student learning motivation. This research is a class action research carried out in two cycles. The subjects of this study were all grade IV students of SD Negeri 20 Tekudak, Kalis District, Kapuas Hulu Regency, West Kalimantan Province, totaling 14 students. The results of this study showed that, the number of learning motivation scores of first cycle students averaged 68.57%, and the average post-test score was 70.14. While in cycle 2, student learning motivation averaged 76.64% and post test scores 77.42. this shows that there is an increase, student learning motivation in each cycle after research is carried out through the problem Based Learning (PBL) model. Student learning motivation before participating in the learning process is still relatively low. Based on the results of the study, it can be concluded that the application of the Problem Based Learning model can increase student learning motivation.
Meningkatkan Hasil Belajar Pak Menggunakan Metode PBL Materi Aku Tumbuh Dan Berkembang Kelas III SDN 16 Sungai Jelawai

. The background to this research emerged because of problems in increasing students' interest and understanding of learning material. Students tend to feel bored and sleepy during the learning process, which leads to low learning outcomes. To overcome this challenge, interesting learning methods are needed to improve learning outcomes and student interest in class. One method that has been proven effective is Problem Based Learning (PBL). The aim of this research is to improve student learning outcomes and achieve learning achievement targets in class. The research method used is quantitative. The results of the first cycle showed that 4 students were at the advanced level, 4 students were at the proficient level, and 2 students were at the appropriate level, with an average observation learning result of 78%. In the second cycle, there was a significant increase with 6 advanced level students, 3 proficient level students, and 1 decent level student, and the average observation learning result reached 86.5%. The implications of these findings confirm that the PBL method is able to improve learning outcomes and student achievement targets in learning.&#x0D;
Spherical interval valued fuzzy ideals which coincide in semigroups

The concept of spherical fuzzy set was introduced by Gun et al. in 2018. It is generalization of Pythagorean fuzzy set. Our main paper, we give the concepts of spherical interval valued fuzzy ideals in semigroups, and properties of a spherical fuzzy ideal in semigroups with prove. Moreover, we investigate necessary and sufficient conditions of coincidences spherical interval valued fuzzy ideals in semigroups.
Employee Performance: The Role of Compensation, Motivation, and Discipline as Intervening in the Era of the Industrial Revolution 4.0

Objective: This research investigates the relationship and impact of motivation, compensation, and work discipline on the performance of employees at a leading telecommunications company in Balikpapan, Indonesia within the context of the Industrial Revolution 4.0.Methodology: Data collection was conducted by sampling the entire population of 113 employees through observation and closed questionnaires. The hypothesis was tested using Smart-PLS.Finding: The independent variables of compensation and motivation demonstrate a significant positive impact on the dependent variable of employee performance. Moreover, compensation and motivation also significantly and positively affect the intervening variables of discipline. The disciplinary variables exhibit a significant positive influence on employee performance. Additionally, discipline plays a crucial role in mediating the relationship between compensation and motivation, leading to enhanced employee performance.Conclusion: Discipline, motivation, and compensation directly affect employee performance while motivation and compensation indirectly influence performance through the mediating effect of discipline. By fostering integrity, employees can enhance their performance and effectively confront the challenges posed by technological advancements in the digital world.
Penerapan Model Pembelajaran Discovery Learning Berbantuan Leaflet untuk Meningkatkan Hasil Belajar Kognitif Siswa Kelas VIII

This research aims to determine students' cognitive learning outcomes by applying the leaflet-assisted discovery learning model to human excretory system material. This research is Classroom Action Research (CAR) with a quantitative descriptive approach, carried out in two cycles, with one meeting held in each cycle. The population in this study were all students at SMP Negeri 1 Blitar with the sample taken being 37 class VIII students. Data collection techniques include tests and documentation. The results of the research show that there is an increase in cognitive learning outcomes with the application of the leaflet-assisted discovery learning model. This is proven by the students' cognitive learning results in cycle I of 64.86% and in cycle II of 100%. The conclusion that can be drawn is that the application of the leaflet-assisted discovery learning model can improve the cognitive learning outcomes of class VIII students at SMP Negeri 1 Blitar on the structure and function of the human excretory system.
Representasi Kekuasaan dalam Pidato Menteri Pendidikan Kebudayaan Riset dan Teknologi

This study aims to describe the shape and form of representation of power in the speech of the Minister of Education, Culture, Research and Technology by using social change analysis from Norman Fairclough. The focus of this research is text analysis, text production, and sociocultural analysis with data in the form of power vocabulary. This research is a discourse analysis study in the form of critical discourse analysis (AWK). The source of the data for this study is the online media site Kemdikbud.go.id which contains the text of the speech including words, clauses and sentences. The research data were obtained by documentation, reading, and note-taking techniques. The results of the study show that there are features in the vocabulary of power that have experiential value in that they contain ideological words that are fought for, lexical processes, and the use of metaphors as a form of representation of power through language in the Minister of Education and Culture's speech. From a review of text production and socio-culture, it also shows that the production of discourse in speech is inseparable from aspects of power and domination. Both domination and power in groups or individuals.
RANCANGAN LEARNING MANAGEMENT SYSTEM TEKNIK NAVIGASI UDARA

With its vast potential, information technology has revolutionized education through various innovations. The quality of the teaching and learning process has significantly improved with the aid of information technology. Face-to-face learning is no longer the sole option as the presence of an LMS eases the process of teaching and learning. In the course of developing an Air Navigation Engineering Learning Management System using the ADDIE method (Analysis, Design, Development, Implementation, and Evaluation), the design was implemented on WordPress due to its flexibility in integrating plugins. This LMS website for Air Navigation Engineering prioritizes material, material delivery, quizzes, assessments, and certificates. The website's data validation yielded an overall feasibility rate of 96.6%, as confirmed by objective validators. Multiple respondents attested to an overall usability rate of 96.2%. Efficient material delivery is facilitated through the use of instructional videos. Additionally, the website offers a payment system for accessing necessary materials.
Head Movement: Analysis of Minimalist Programme

This paper examines issues related to strong features and weak features in head movement which involves a comparison between Modern Standard English (MSE) and Early Modern English (EME) which have experienced the process of language evolution. The difference can be seen in the movement of non-auxiliary verbs (nonauxiliary) limited (finite) that move to the INFL position in the two English grammars. Thus, the analysis of grammar in these two phases of the English language is analyzed according to the Minimalist Program approach in line with the latest development of Generative Transformation (TG) theory. Therefore, this paper aims to describe the process of head movement of nonauxiliary verbs that are limited (finite) to the INFL position in both phases of English grammar development in addition to solving the issues. The findings of the study or the results of the analysis show that in Early Modern English (EME) grammar, nonauxiliary verbs that are limited (finite) move to the INFL position due to the compatibility of strong features brought by the limited verbs (finite). This is proven again by using the power of metaphor proposed by Chomsky. Next, the analysis of findings also found that only verbs that represent the compatibility of strong features (strong features) that match can move to the INFL position, and vice versa for verbs that represent the compatibility of weak features (weak features) that are very weak to move to the INFL position. Among other issues highlighted in this article is also the subject-verb compatibility aspect which involves the relationship between INFL and specifier.
Google Site-Based Interactive Electronic Module as Basic Writing Media

This research aims to develop electronic module-based Google Site for learning basic writing in the English Language Education study program at Muhammadiyah University of Palopo. The results of the e-module that has been developed are then analyzed for its feasibility level through a validation process. This research uses Research &amp; Development with the ADDIE development model which focuses on four stages, namely define, design, develop and disseminate. The results of this research reveal that the module that has been developed can be categorized as very feasible after carrying out a validation process by the validators in terms of media and material. Furthermore, after all aspects of both media and material in this research were declared very feasible, it can be concluded that the product can be tested on a small scale with students. In this small-scale test students are asked to access the e-module application and are then asked to use it. After that students are then asked to provide responses related to the use of the e-module. The questionnaire focuses on linguistic aspects, presentation of material, usefulness and graphics. There were 20 students involved in this small-scale testing and the results were 81%, so it can be concluded that these students claimed that the e-module that had been developed was very good.
In Depth: Unveiling hate speech in the digital world

Hate speech is nothing new, but the phenomenon is spreading at an unprecedented rate and scale in the age of social media. Both online and offline, it targets a person or a group on the basis of who they are. Hate speech not only causes harm at the personal level; it also undermines social cohesion. In response to this alarming trend, the United Nations proclaimed, in 2022, 18 June as the International Day for Countering Hate Speech. UNESCO, actively engaged in the fight against online hate speech through education, emphasizes the urgent need for common principles worldwide to improve the reliability of information while protecting human rights.
AI must be kept in check at school

The use of artificial intelligence in education needs to be subject to supervision and independent evaluations. Only then, argues Ben Williamson, will schools be able to maintain their mission of developing critical thinking and shaping the citizens of tomorrow.
Sistem Informasi Alumni (Tracer Study) Berbasis Web Pada SMA Negeri 2 Bungo

The tracer study activity is one of the activities that has a very strategic value in school development. Tracer study serves to determine the potential of graduates in the community, evaluation facilities in the development of learning process facilities and infrastructure in the future, improve the quality of graduates who are able to master science and technology, and achieve graduates with qualifications that are in accordance with the needs of the labor market so that they can be absorbed by the workforce. maximum. The purpose of this research is to analyze, design and make prototypes related to tracer studies at SMA Negeri 2 Bungo. This research produces a prototype tracer study design for SMA Negeri 2 which contains information about alumni data, information, documents, reports, several other menus. In addition, this study also uses object-based system analysis modeling, namely Use Case Diagrams, Class Diagrams and Activity Diagrams.
Sistem Informasi Promosi Pada Teknos Genius Jambi Berbasis Web

Teknos Genius Jambi is an example of informal education that teaches elementary to high school students in Jambi City. Teknos Genius Jambi in promotion found problems, namely: limited dissemination of information and promotion, registration process that takes a long time, and errors in processing student payment contribution data both from calculations and data recording. The solution of the problems that occur by analyzing and designing promotional information systems using prototype development methods and unified model language system models using usecase diagrams, activity diagrams, and class diagrams. The results of the system development can display class data, student data, package data, teacher data, payment data, information data, and forum data in a structured manner and display the necessary reports