Reviewerly/exHarmony huggingface dataset:
Determination of the end device risk likelihood using the Bayesian network tools

All institutions use end devices for information processing which includes sending and receiving on the network. This process helps them to improve their business production as well as perform daily activities at a faster rate. However, the increased usage of end devices by both employees and criminals raises concerns and exposes businesses to a range of cyber risks. End devices can sometimes be used as agents and weapons to expose internal business operations. The vulnerability of the end devices to cyber threats and attacks compromises business data, its safety, and security. This paper determines the risk likelihood of the end devices using the Bayesian network tools. To achieve this, the study illustrates the connections of the end device variables to simulate the risk likelihood and its impact. The analysis and interpretation of the simulation are performed using decision tree analysis (DTA), scenario analysis, and sensitivity analysis techniques (Tornado graphs, conditional probability tables (CPT), and value of information configuration (VOI)). The relationship of the variables is demonstrated on the AgenaRisk package. Results revealed variables that influence the risk probability and its impact. End device risks can be caused by insiders and cyber criminals. The risks associated with end devices are influenced by the level of security implementation on different levels. The impact of the cyber risks was also accounted for and the concluding remarks were also made.
Experimenting with Twitter data and Google Sheets via TAGSExplorer

The following segments exemplify output generated by instances of TAGSExplorer, a Google Docs script that has been developed by Martin Hawksey (on Twitter: @mhawksey.
Mapping hydrothermal alterations and lineaments associated with epithermal and massive sulphides deposits of Tifraouine (northwest Algerian coast): Use of Landsat 8 OLI data and remote sensing

Within the context of studying mineralizations related to the Miocene volcanic rocks from the northern part of Algeria, Landsat 8 OLI data and remote sensing techniques are carried out to characterize and map hydrothermal alteration outcrops in the Miocene volcanic rocks of Tifraouine on the northwestern Algerian coast, where several indications of mineralization are known. Short-wave infrared (SWIR) bands allowed for the identification of clay alterations, while the visible and near-infrared bands help in the detection of iron alterations. Red-green-blue color combination images of 6/7, 4/2 and 5/6 ratios were produced. Principal component analysis (PCA) was computed to characterise altered zones and extract lineaments. Matched filtering technique (MF) allows direct detection after applying minimum noise fraction (MNF) transformation and pixel purity index to the spectra in order to obtain a distribution map of the target mineral species in studied area. The remote sensing results combined with the structural geological data determine a relationship between mineralization and structural features and show that hydrothermal alterations are clearly controlled by tectonic. They are highly concentrated in the calderas zone and extend towards the Bouzedjar area which allowed checking the map performed according to the field studies. This will contribute to preliminary studies related to mineral exploration and enhance the mining potential of Tifraouine. The acquisition of supplementary data would allow us to extend this study in coming works.
Analisis Performance Progressive Web Apps Pada Aplikasi Shopee

Progressive web App is a web-based application development that includes the application of the latest technology from a browser that can be accessed quickly into one application without having to install. Progressive web applications can run like mobile applications in general, and the user interface is like using native applications. Progressive web app was invented in 1990. Progressive web App uses the latest Technology to produce web apps that provide a better User Experience and User Interface than mobile native. Progressive web app that is supported by a system called Service Worker, where the technology provides Offline Functionality, Notifications, Content Updates, Connectivity Changes and others. So that in a slow connection or an unstable connection you can access websites quickly and have the same appearance as the last time you opened the application via a Web Browser. This progressive web app can optimize web app performance to allow users to have an accessible experience with quickly and easily through browsers such as notebooks, personal computers or through mobile devices. This progressive web app is a service worker that allows a web app that can be run through all existing browsers and has a fairly simple and transparent process. So that the page that is opened, on the service worker site which is a proxy client that can be written in javascript, as well as being able to cache the assets needed for offline support which can determine certain events to activate the service worker such as push notifications, camera, and background sync.Â Keywords : Progressive Web Apps, Web, User Interface, Native Apps, User Experience
Sistem Informasi Penjualan Online Rumah Hunian

At this time, which has entered the world of globalization, where humans are increasingly familiar with the world of increasingly advanced technology in making it easier to carry out various activities in life. At this time the world has recognized a technology that is often used in online shopping called the internet.The internet is able to make a person communicate with other people in various parts of the world, through the internet everyone can provide or obtain the information needed anytime and anywhere we are. In addition, with the presence of the internet, humans can do business easily. PT. Karya Utama Jaya Palembang is a company engaged in the sale of residential houses with various types in Palembang. In conducting sales activities PT. Karya Utama Jaya still uses simple information by employing sales personnel to distribute brochures at various points of location so that marketing and sales are not optimal, so housing sales have not been effective and efficient. In connection with the problem of many competitors selling housing and lack of marketing, it is necessary to create a web-based information system by utilizing the internet which serves to facilitate consumers in getting information and being able to place orders easily and can improve a company's performance in selling residential homes and in marketing.Keywords : System, information, house, Online
Penerapan Extreme Programming (XP) pada Sistem Informasi Pembayaran Asuransi Perbaikan Kendaraan di CV Tiara Persada Berbasis Web

CV Tiara Persada is a company engaged in motor vehicle repair services, especially private cars or city cars, CV Tiara Persada also collaborates with several vehicle insurance companies to carry out vehicle repairs based on the insurance company's recommendations. The problem that often occurs at CV Tiara Persada in the process of repairing vehicles from insurance companies is that there is often a difference in payment between submitting a damage claim and working on damage because you have to submit multiple times and have to wait for an email approval from the insurance. With these problems, we need a web-based system that functions to carry out transactions and communication so that the payment process is not an obstacle. This system was built using the extreme programming method by carrying out several stages including Planning, Design, Coding, Testing and Software Increment. The purpose of building this system is to facilitate the process of managing insurance data, company spare parts data, repair data, insurance survey data, invoice reports and insurance customer reports. Then in this application there are 5 users, namely insurance, leadership, chief mechanic, cashier and customer service.Keywords: Vehicle Insurance, extreme programming (XP), Information Systems, Web Based.
STORY MAPPING TO TEACH READING NARRATIVE TEXT AND IT’S PROBLEM

The purpose of this research is to reveal the process of teaching reading comprehension of narrative texts, and to find out the teacher's problems in applying story mapping techniques in teaching reading comprehension of narrative texts. This study uses qualitative research with a case study method. Data was collected from observation, interviews, and documentation. The participant in this study was an English teacher for class X IPA who taught narrative texts by applying the story mapping technique. The process of teaching and learning reading comprehension is going well, although not optimal. Meanwhile, there are five problems faced by the teacher in teaching reading comprehension, namely the teacher has difficulty if students cannot achieve basic mastery in reading, the teacher has difficulty if students read very slowly the reading text being taught, the teacher has difficulty if students cannot understand and find. conclusions, implications, and main ideas of the reading text, the teacher has difficulties in choosing teaching materials in teaching reading comprehension of narrative texts, and the teacher has problems in designing or modifying questions and exercises to attract students' interest in learning reading comprehension of narrative texts.
Increased plane identification precision with stereo identification

Abstract Stereo vision allows machines to perceive their surroundings, with plane identification serving as a crucial aspect of perception. The accuracy of identification constrains the applicability of stereo systems. Some stereo vision cameras are cost-effective, compact, and user-friendly, resulting in widespread use in engineering applications. However, identification errors limit their effectiveness in quantitative scenarios. While certain calibration methods enhance identification accuracy using camera distortion models, they rely on specific models tailored to a camera’s unique structure. This article presents a calibration method that is not dependent on any particular distortion model, capable of correcting plane position and orientation identified by any algorithm, provided that the identification error is biased. A high-precision mechanical calibration platform is designed to acquire accurate calibration data while using the same detected material in real measurement scenarios. Experimental comparisons confirm the efficacy of plane pose correction on PCL-RANSAC, with the average relative error of distance reduced by 5.4 times and the average absolute error of angle decreasing by 41.2%.
Influence Diagrams in Cyber Security: Conceptualization and Potential Applications

Over the last years, cyber-attacks are increasing in organizations especially due to the use of emerging technologies and transformation in terms of how we work. Informed decision-making in cyber security is critical to prevent, detect, respond, and recover from cyber-attacks effectively and efficiently. In cyber security, Decision Support System (DSS) plays a crucial role especially in supporting security analysts, managers, and operators in making informed decisions. Artificial Intelligence (AI)-based techniques like Bayesian Networks, Decision Trees are used as an underlying approach in such DSSs. Furthermore, Influence Diagrams (IDs) possess the capability to support informed decision-making based on its existing applications in other domains like medical. However, the complete capability and potential of IDs are not utilised in cyber security especially in terms of its explainable nature for different stakeholders and existing applications in other domains. Therefore, this research tackles the following research question: “What are potential applications of Influence Diagrams (IDs) in cyber security?”. We identified applications of IDs in different domains and then translated it to design potential applications for cyber security issues. In the future, this will help both researchers and practitioners to develop and implement IDs for cyber security-related problems, which in turn will enhance decision-making especially due to its explainable nature for different stakeholders.
Participants Prefer Technical Hands-on Cyber Exercises Instead of Organisational and Societal Ones

The current shortage of cybersecurity professionals is about 2 million people worldwide, and in Europe the industry is seeking for about 350 000 skilled professionals. There is also an enormous need for dedicated cybersecurity training courses for existing professionals who wish to acquire completely new skills or maintain their current ones. Due to the lack of new skilled workforce, the current cybersecurity personnel are overworked in their work. In order not to waste the valuable time of cybersecurity professionals with unnecessary training, cyber exercises should be well prepared. This article is based on research conducted in a European collaborative project and more specifically, a cyber exercise organised in early 2022. The purpose of our research was to conduct a preliminary assessment of the participants to learn about their skills and expectations before the cyber exercise. This assessment was used for fine-tuning the exercise. To achieve this, we identified common trends in the participants’ interests during the cyber exercise. The preliminary assessment was carried out as a web survey. The responses were cross tabulated to find meaningful indicators related to skills and interests of the participant group. We identified the most and least preferred knowledge areas for both the industry and public sector participants. Our findings show that the most interesting knowledge areas of all respondents were primarily technical in nature (Data Security, Connection Security, System Security), but Organisational Security was also reported. The least interesting knowledge areas were mostly non-technical in nature (Human Security, Organisational Security, Societal Security) but also Component Security was reported. We also enquired about the preferred team size. The majority of the respondents preferred a team size of three to four persons. The preferred single session duration was 46–60 minutes. The results help cybersecurity professionals to match their knowledge needs with the existing cybersecurity proposition and to determine the right and most beneficial training for them. The results also assist the providers of cyber training and other exercises to describe the targeted development of specific cybersecurity and other knowhow in a coherent, standard-like, way.
Legality of Electronic Evidence in Criminal Evidence

With the great and accelerated development witnessed by various aspects of life, and the use of technological techniques in all areas of work from the use of computers and the Internet, the crime is no longer committed in its traditional form, but has gone beyond the use of the information network using computers and information systems as a tool in committing the crime, which necessitated the provision of legal protection and the creation of a punitive system for the perpetrator of computer crimes and the information network that accompanied the emergence, growth and development of computer systems and networks and the information technology revolution because of its many risks and Great losses to institutions and individuals as they target the attack on data and information that affect the private lives of individuals, as well as threatening national security and national sovereignty. The study found that there is a clear deficiency in many arab substantive and procedural criminal legislations in confronting the phenomenon of crimes that occur by electronic means or on these means, for the seriousness of this crime recommended this study need for Arab legislation to speed up the pace of amending its punitive laws in order to keep pace with the revolution in remote communications, so that there is no separation between reality and law in a way that harms society and its individuals.
Credit Card Fraud Detection: Analyzing the Performance of Four Machine Learning Models

In the era where most of our transactions whether it is for shopping, electricity bills, insurance payments, school and college fees are paid using plastic money through wireless and various online modes. Increase in both online transactions and ecommerce platforms has given rise to many online frauds these days and also security threats. To detect these fraudulent activities, we created a machine learning model. In this research we modeled a dataset using Machine Learning Algorithms. It is proposed to predict fraudulent transactions made by users. It is a real-life example of a binary Classification problem. This research emphasizes on analyzing and pre-processing the dataset and implementing various python libraries, and used concepts like Exploratory Data Analysis, Data Modeling, Feature Extraction etc. and implemented a fraud detection process using the four algorithms.
Analisis Perbandingan Finite State Automata (FSA) Dengan Breadth First Search (BFS) Terhadap Desain Sistem Aplikasi Screening Awal Karyawan

This study aims to achieve a business process needed by a company in implementing the company's vision and mission. Therefore, a selection process is needed to be used by the company as a criterion to meet company standards. So this research is based on the implementation of the initial screening of too many employees so that HRD work is hampered. Thus, this application is built using the BFS method. We tried to analyze the implementation of the employee recruitment screening algorithm by comparing the BFS and FSA methods. In addition to building an application using the BFS method, the author also built it using the FSA method to see which of these two methods is more accurate to use in the initial employee screening selection. So the method we are currently using is the Breadth-First Search (BFS) method because it can describe the process starting from the initial selection of employees by explaining the registration steps to the final process, namely decisions from predetermined screening results. So the expected result is creating an application to help HRD as an initial selection of employee recruitment. The results obtained in this study are between the Breadth-First Search Algorithm (BFS) and the Finite State Automata (FSA) method. Employee start.Keywords : Screening, Employee, Recruitment, FSA (Finite State Automata)
Comparative Study of Particle Representations on the Performance of MOPSO Algorithm in Solving Capacitated Lot-Sizing Problem

Capacitated lot-sizing problem (CLSP), which is NP-Hard problem, is an important and challenging optimization problem in production planning. Therefore, this problem is often solved using different metaheuristic methods, like multi-objective particle swarm optimization (MOPSO) algorithm. To use this method, the first step that should be performed is to design a particle representation, which will be used for representing the solutions of the addressed problem. This paper seeks to investigate the effect of using different particle representations while developing a MOPSO algorithm to solve the CLSP. Two kinds of particle representations are considered. The first one is binary particle representation and the second one is real-binary particle representation. The treated problem was designed to minimize simultaneously the total cost and the total inventory level. Three performance evaluation metrics, namely number of non-dominated solution, quality of obtained Pareto fronts and runtime, were examined for comparing the particle representations effect on the performance of MOPSO algorithms. Numerical experiments indicate that the MOPSO algorithm with binary representation of the particle outperforms the one with real-binary representation of the particle in solving CLSP. This research highlights the importance of particle representation in the development of MOPSO algorithm.
Ideological and Political Resources Service System Needs Analysis

The ideological and political education in universities has shifted from political courses to professional courses, and from teacher ideological and political education to full staff ideological and political education.Many departments and individuals at Beijing University of Technology have accumulated a certain amount of ideological and political resources.In order to achieve more centralized management and greater sharing of dispersed ideological and political resources, and to make ideological and political achievements more widely applied, the school needs an ideological and political resource service system.The establishment of a system helps to strengthen the management of ideological and political resources in schools and enhance individuals' knowledge level of ideological and political resources.It is crucial to implement a standardized and practical system and connect it with the ideological and political resources of different departments and individuals.This article focuses on the requirements analysis section of the ideological and political resource system, as requirements analysis is the cornerstone of almost all software design and development processes.Without a complete process of requirements research, analysis, and modeling, it is impossible to construct the basic architecture and functions of the software, resulting in the final designed software not meeting the user's usage requirements.A good requirement analysis will enable developers to have a more accurate understanding of the specific functions of the system, arrange development time and schedule, and thereby improve the usability of the system and the completion efficiency of developers.This article provides an in-depth analysis of the ideological and political resource service system from both functional and non-functional aspects, laying a solid foundation for subsequent design and implementation of the system.
Visualisasi Trafik Jaringan Dengan Metode Support Vector Machine (SVM) (Studi Kasus: Universitas Indo Global Mandiri)

Limited network resources and the increasing number of internet users in the current digital era have an impact on high traffic which results in decreased access speed to internet services. This is also a problem that occurs at the Indo Global Mandiri University (UIGM) Palembang, causing access to academic services to be slow. The purpose of this research is to identify the types of network traffic patterns which are then carried out by the process of grouping and visualizing these types of traffic. The data in this study were taken in real-time at the UIGM campus. The data obtained is the result of responses which are then extracted. The extraction results are processed using the Support Vector Machine (SVM) method for the process of grouping and visualizing data. The results of this study can distinguish types of traffic based on communication protocols, namely tcp and udp, where the results of the experiment were carried out six times with the results being the first experiment where 99.7% TCP and 0.1% for UDP, the second experiment 97.6% for TCP and 1.1% for UDP , trial three 99.7 % TCP and 0.2% UDP, trial four 97.5% and 1.3% UDP, trial five 99.5 TCP and 02% UDP, and the sixth or final try 97.7% TCP and 1.1% UDP. The data from the use of the SVM method obtained several types of traffic such as games by 0.4%, mail 0.2%, multimedia 0.4% and the web by 82.8% and this research still produces data that the pattern is not yet recognized by 15.5%Â Keywords : Network Traffic, Classification, Support Vector Mesin