Reviewerly/exHarmony huggingface dataset:
Design of Automated Website Phishing Detection using Sequential Mechanism of RCL Algorithm

The phishing outbreaks in internet has become a major problem in web safety in recent years. The phishers will be stealing crucial economic data regarding the web user to perform economic break-in. In order to predict phishing websites, many blacklist-based phishing website recognition methods are used in this study. Traditional methods of detecting phishing websites rely on static features and rule-based schemes, which can be evaded by attackers. Recently, Deep Learning (DL) and Machine Learning (ML) models are employed for automated website phishing detection. With this motivation, this study develops an automated website phishing detection using the sequential mechanism of RCL algorithm. The proposed model employs Long-Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Random Forest (RF) models for the detection of attacks in the URLs and webpages by the similarity measurement of the decoy contents. The proposed model involves three major components namely, RF for URL phishing detection, CNN based phishing webpage detection, and LSTM based website classification (i.e., legitimate and phishing). The experimental result analysis of the RCL technique is tested on the benchmark dataset of Alexa and PhishTank. A comprehensive comparison study highlighted that the RCL algorithm accomplishes enhanced phishing detection performance over other existing techniques in terms of distinct evaluation metrics.
Thunderquakes Map the Subsurface

Researchers have figured out how rumbling thunder turns to seismic waves and how this shaking could be used to reveal subsurface geology.
Penggunaan Media Video Berbasis Capcut dalam Pembelajaran Mengidentifikasi Unsur Teks Berita pada Siswa Kelas VIII MTs Negeri 1 Kabupaten Gorontalo

The purpose of this study was to describe the use of Capcut-based video media in learning to identify the elements of news text on students, student learning outcomes, and inhibiting factors in the use of Capcut-based video media. This research uses descriptive method with qualitative research type. Based on the results of the study, it is stated that the use of Capcut-based video media in learning to identify the elements of news text has been successfully used so that student learning outcomes reach competency standards, and in accordance with RPP. The assessment of identifying the elements of news text on students in the knowledge aspect is in the form of text described in the student worksheet.
Optimizing Performance in Big Data Handling for Enhanced Data Analytics

Summary In this era of big data, five Vs (volume, variety, value, veracity, velocity) are important and challenging to handle in the industry for data analytics. The increasing amount of data accumulated across time from various sources are often the key concern in every data-science-related study. In our study in generating a well underperforming data analytics dashboard, we encountered a few challenges in consuming the big data, because of the request rate limit, data frequency inconsistency, and authentication limits from the database application programming interface (API) provider. These challenges impose incompleteness of retrieved data, slowness in retrieving data, and failure in automating data retrieval in regular basis. Thus, in this study, we are proposing several performance optimization techniques to enable faster data processing and analysis of large-scale datasets. We achieved a significant performance enhancement in building data pipelines starting from data consumption to publication, after implementing a combination of data partitioning and multiprocessing techniques. These approaches were validated using the real-time production data of 29 oil fields and demonstrated the potential for reducing the data retrieval and processing time. This finding would have significant implication in dealing with massive amounts of data and gives us broader implication on data analytics capabilities.
On the Relevance of Using Education Platforms in Higher Education Institutions: Pros and Cons of Using Moodle for Teaching Foreign Languages at Baikal State University

The article deals with the problem of using online and digital education platforms and its urgency for the modern system of national education, which is going through big changes due to the pandemics conditions at present, which proves the relevancy of the issue under study. The text focuses on the problem of digitalization as a global trend in the world and in our country, highlighting some risks and negative effects the trend may cause for the society and national system of education. The main subject of the present research is Moodle-system, a popular modern platform for on-line education, which is widely used in the higher institutions around the world and actively discussed by professional community today. The effectiveness and productivity of the platform is considered as the main issue in the text, which also defines its advantages and disadvantages for framing the teaching process in our universities. Special attention is paid to the pros and cons of Moodle in terms of its application at Baikal State University, particularly for teaching foreign languages. The research provides conclusions and practical recommendations concerning the most effective usage of online platforms.
Derivational Affixes in English and Arabic Words: The Process of Word Formation

This article discusses the process of derivational affixation in both English and Arabic. It aims to describe the affix derivation process, which results in changes in the meaning of some words attached by affixes. This is a qualitative research and all examples of words attached by affixes come from books, dictionaries, and other sources. The data collection results show that English and Arabic are very productive in the formation of new words when these words are attached by affixes, which can also cause changes in meaning. The obvious distinction between English and Arabic is in the root word. In Arabic, all basic words are verbs, whereas in English, the basic words that affixes can attach to are verbs, nouns, and adjectives.
Pelatihan Aplikasi ZOTERO dalam Upaya Optimalisasi Penulisan Referensi pada Karya Tulis Ilmiah bagi Guru-Guru di Kabupaten Takalar

This service is conducted in Takalar Regency, South Sulawesi Province. It is motivated by several issues faced by our partners, including the limited knowledge of teachers in utilizing Zotero through Microsoft Word for automatic reference citations, the relatively low awareness of the basic applications for referencing among teachers, and the need for teachers to prepare themselves in creating automated references. Therefore, the objective of this activity is to address these partner-related issues. The methods employed include outreach and teaching, discussions, and collaborative training between the implementers and the partners. The training participants are middle school math teachers from Takalar Regency, members of the Mathematics Subject Teachers' Meeting organization (MGMP Matematika SMP). Through this activity, it is expected that teachers' knowledge in utilizing the Zotero application will increase, raising awareness and understanding among teachers about the importance of flexible and automatic reference application usage, enhancing teachers' insight, abilities, and skills in utilizing Microsoft Word to be more informative and innovative.&#x0D;
Hausa in the 21st Century Internet Environment: From Easy Access to Documentation

The research is geared towards investigation on one hand the extent to which Hausa is found on the internet, and utilizing the internet for documenting Hausa materials on the other. The most active internet search engines (i.e. AOL, Ask, Baidu, Bing, DuckDuckGo, Google, Internet Archive, WolframAlpha, Yandex. and Yahoo) were utilized to determine the number of existing and functioning Hausa websites. The activities and contents of the websites were studied to ascertain if they help matters by providing the needed materials for the ‘Hausa academic world’. The areas and forms of weaknesses of the sites were studied accordingly. It has been observed that the Hausa websites are dominated by several challenges ranging from socio-political to environmental. Finally, suggestions are offered as panaceas for the observed problems, one of which is the need for a collaborative effort between departments and centers for the studies in the Hausa language and the enthusiastic Hausa bloggers for the attainment of common documentation and improvement goals.
Securing Data Platforms: Strategic Masking Techniques for Privacy and Security for B2B Enterprise Data

In today's digital age, the imperative to protect data privacy and security is a paramount concern, especially for business-to-business (B2B) enterprises that handle sensitive information.These enterprises are increasingly constructing data platforms, which are integrated suites of technology solutions architected for the efficient management, processing, storage, and data analysis.It has become critical to design these data platforms with mechanisms that inherently support data privacy and security, particularly as they encounter the added complexity of safeguarding unstructured data types such as log files and text documents.Within this context, data masking stands out as a vital feature of data platform architecture.It proactively conceals sensitive elements, ensuring data privacy while preserving the information's value for business operations and analytics.This protective measure entails a strategic two-fold process: firstly, accurately pinpointing the sensitive data that necessitates concealment, and secondly, applying sophisticated methods to disguise that data effectively within the data platform infrastructure.This research delves into the nuances of embedding advanced data masking techniques within the very fabric of data platforms and an in-depth exploration of how enterprises can adopt a comprehensive approach toward effective data masking implementation by exploring different identification and anonymization techniques.
Analysis of the Effect of System Quality and Information Quality on Net Benefits through User Satisfaction of the Basic Education Data Information System (DAPODIK) in all junior high schools in Manggarai Regency

Through user satisfaction of the primary education data information system (DAPODIK) in junior high schools in the Manggarai district, this study seeks to characterize the impact of system quality and information quality on net benefits. The sampling technique uses the census method. The population in this study were all operators at junior high schools in Manggarai district, totaling 81 people. Samples were taken using a census so that 81 operators became the object of research. The process of collecting research data uses a questionnaire or questionnaire which is distributed using a Google form sent via WhatsApp with a Lickert scale. The technique used for testing the hypothesis is path analysis and the tool used in data processing is SPSS 26 Software. Based on the path analysis of this study found that there are 4 hypotheses that have a positive and significant influence, that is, the relationship between information quality and net benefits, the relationship between system quality and user satisfaction, and the relationship between user satisfaction and net benefits. The system quality on net benefits, information quality on user satisfaction, and information quality on net benefits through user satisfaction were the hypotheses that were disproved in this study.
TRAINING FOR TRAINERS IN CRITICAL DIGITAL LITERACY SKILLS FOR TEACHERS’ ACTIVIST

Internet users in Indonesia have increased in the last three years. In 2021-2022, 77.02% (more than 210 million people) of Indonesia's population are penetrated by the Internet. Unfortunately, Indonesia's digital literacy is in the moderate stage, with a score of 3.49. The level of digital literacy in Indonesia is not well distributed. People in rural areas have a lower digital literacy index than those in urban areas. Based on this situation, it can potentially produce digital literacy training. Teachers in rural areas play an essential role. They may become role models in forming a critical mindset for their students in digital media. To hold this training, we collaborate with Sekolah Guru Indonesia Dompet Dhuafa. The participants have conducted digital literacy training for teachers in their domicile before this training. They also passed some selections before joining this training. We named this event Training for Trainers Level 2. This training is part of Digital Literacy Education Program for Activists Sekolah Guru Indonesia collaborate with Dompet Dhuafa. The participants consisted of 20 teachers who represented various regions in Indonesia. The training was held online and consisted of two parts of meetings. The output of this community development program is publication in the mass media, a book of digital literacy awareness written by participants, and a Podcast's Intellectual Property Rights made by the best participants.
Sistem Informasi Change Request Form (SI-CRF) dengan Metode V-Model

PT ADM is one of the companies incorporated in the Astra Group, Astra Industries Business unit and is the sole agent of Daihatsu. One of the activities in it is submission which is better known as Change Request Form (CRF). CRF one of the forms used for submission, ID requests related to requests related to IT software such as access rights, licenses, or network installation. submission of Change Request Form (CRF) from the side of Users (in this case as a requester) have difficulty both when filling out documents, approval requests to related superiors, and especially in tracking the status of the request already at what stage , as well as archival document storage because it is still input manually. Based on this explanation, the design of Information System is built using V-model method where V-Model development of waterfall method. Information system built CRF information system that can help users can submit anywhere and in terms of checking can be up to date, in terms of approval and assignment and status can also be checked up to date
Colon Cancer Detection by using Transfer Learning

Cancer detection at early stage will provide the chance of existence of living. Using image processing techniques medical image analysis becoming easier and exact stage of cancer is also detected. In this work transfer learning technique is used to identify the Colon Cancer.
A Study on Data Protection in Cloud Environment

Data protection in the online environment pertains to the safeguarding of sensitive or important data kept, analyzed, or sent in cloud-based systems. It entails assuring data confidentiality, integrity, and availability, as well as adhering to appropriate data protection requirements. In a nutshell, cloud data protection seeks to protect data against unauthorized access, deletion, or breaches while retaining its accuracy and accessible to authorized users. This is accomplished in the cloud environment using various security measures, encryption approaches, access controls, disaster recovery and backup processes, and constant monitoring and threat detection. The research significance of data protection in the cloud environment can be summarized as follows: Security and Privacy: Research in data protection in the cloud helps address the security and privacy concerns associated with storing and processing sensitive data in cloud-based systems. It explores and develops advanced security mechanisms, encryption techniques, and access controls to protect data from unauthorized access, data breaches, and privacy violations. Trust and Confidence: Research in data protection contributes to building trust and confidence in cloud computing. By developing robust security solutions and demonstrating their effectiveness, research helps alleviate concerns about data security and privacy, fostering greater adoption of cloud services by organizations and individuals. Compliance and Regulations: Cloud computing often involves compliance with data protection regulations and industry standards. Research in this area explores the legal and regulatory aspects of data protection in the cloud and helps organizations understand and comply with relevant requirements. Data Resilience and Recovery: Research in data protection focuses on ensuring data resilience and developing efficient data recovery mechanisms in the cloud. It explores backup and disaster recovery strategies, data replication techniques, and data loss prevention methods to minimize downtime, recover data promptly, and maintain business continuity in the event of system failures or disasters. By addressing these research areas, studies on data protection in the cloud environment contribute to enhancing security, privacy, compliance, and resilience in cloud computing. They provide valuable insights, practical solutions, and guidelines for organizations and service providers to protect data effectively and maintain the trust of users in cloud-based services. The weighted product method approach is commonly used to choose the best data protection in cloud environment. CCSS1, CCSS2, CCSS3, CCSS4, CCSS5 data visibility, data integrity, Maintains compliance, Data security, Data storage. From the result it is seen that CCSS2 got highest rank whereas CCSS5 got lowest rank According to the results, CCSS2 was ranked first.
Investigation of Secure Health Monitoring System Using IOT

The rapid progress of technology, particularly the Internet of Things (IoT), has introduced exciting opportunities for transforming the healthcare sector. One significant area where IoT has made a significant impact is in the creation of secure health monitoring systems. These systems utilize IoT devices and sensors to gather and transmit live health data, facilitating remote monitoring and individualized healthcare.The integration of IoT in healthcare monitoring offers numerous benefits, including improved patient outcomes, enhanced access to care, and increased efficiency in healthcare delivery.To develop you would typically follow a research methodology that involves several key steps. Clearly state the objectives of your research, such as designing and implementing a secure health monitoring system using IoT. Specify the aspects you want to focus on, such as data privacy, authentication, encryption, or device communication. Develop a high-level system architecture for your health monitoring system. Define the components, their functionalities, and how they interact with each other. Consider the security aspects, such as secure data transmission, authentication, access control, and data storage.By multiplying each of our goals by a weight provided by the user, we can scale our collection of goals into a single goal using the weighted sum approach. One of the most popular strategies is this one. Finding the appropriate weights to give each aim while using the weighted sum approach is a concern. Taken as alternative parameters for HMS1, HMS2, HMS3, HMS4, HMS5. Taken as evaluation parameters for Portability,Round-The-Clock Health Surveillance,ease of use,Reliability.HMS1 performance is good when compared to others so HMS 1 is preferred except HMS 1 performed better in secure health monitoring system using IIOD.
The solar space in the history of the text of M.A. Bulgakov’s novel “Master and Margarita” (part 2)

The article is devoted to the consideration of the formation of solar space in the history of the text of M.A. Bulgakov’s novel “The Master and Margarita” on the base of its textual analysis. In our work, we rely on the system of editions of the novel that we have established and its main text, reflecting the last creative will of the author to the fullest extent: the first (1928–1930), the second (1932–1936), the third (1936), the fourth (1937), the fifth (last handwritten, 1937–1938), the sixth (final, 1938–1940). The draft texts are conveyed by dynamic transcription, which will make visible the process of writer’s work on the creation and allow us to see the formation of the author’s intention. Graphic conventions are used for this: 1) a piece of text crossed out by the writer — [text]; 2) an insert during the writing process — text; 3) an insert crossed out — [text]; 4) a later insert — {text}; 5) a later insert crossed out — {text}; 6) a conjecture — &lt;text&gt;; 7) reliability of the transmitted author’s text — &lt;sic&gt;; 8) the end of a page and the transition to the next one are indicated by two straight vertical lines ||. When quoting draft texts, the author’s spelling and punctuation are preserved.
Grey Wolf Cuckoo Search Algorithm for Training Feedforward Neural Network and Logic Gates Design

This paper presents a new hybrid Swarm Intelligence (SI) algorithm based on the Cuckoo Search Algorithm (CSA) and Grey Wolf Optimizer (GWO) called the Grey Wolf Cuckoo Search (GWCS) algorithm. The GWCS algorithm extracts and combines CSA and GWO features for efficient optimization. To carry out the comprehensive validation, the developed algorithm is applied to three different scenarios with their counterparts. The first validation is carried out on standard optimization benchmark problems. Further, they are used to train Feedforward Neural Networks and finally applied to design logic gates. The comprehensive results are presented and it is found that the proposed GWCS algorithms perform better compared to the state-of-the-art.
Development of Mobile Application-Based Assisttive Technology to Improve Slow Learner Students' Conjecturing Ability

Development of software for mobile applications has grown in significance in the current digital era. The goal of this project is to create mobile-based software that can enhance slow learners' conjecturing skills during the learning process. Rapid Application Development (RAD), a technique well-known for its iterative and collaborative approach, was utilized to create this program. Software development that is quick, flexible, and more user-centered is made possible by RAD. The steps of software development, such as user requirement analysis, application design, implementation, and testing, were discussed in this study. We also emphasize the importance of actively involving users in the development process to ensure that the software meets their needs and expectations. The results of software quality testing show that the software developed meets ISO-9126 standards. It covers important aspects such as reliability, efficiency and usability, earning Good criteria. Meanwhile, only the maintainability and portability aspects received sufficient criticality. It can be concluded that in general the quality of the software developed is good in accordance with ISO-9126.
Applications of Difital Image Stegnographic Techniques in Medical Image Analysis

In this digitized world maintaining the security of the secret information is a challenging task. While, sending secret information through the internet draws the attention of hackers. The highly authenticated information can be hidden by using Steganography. Image processing plays a very important role in such stenographic techniques. The advantage of stenography can be enhanced to medical images and creation of database for a particular patient under one authentication with security. Steganography techniques used in bio-medical field to hide the person medical data like prescription, X-ray, Iris, MRI, CT scan images behind a single cover media. In this paper the embedding Schemes to store complete medical data under one authentication is done by using Spatial and transform domains. The performance of the techniques is compared and the best method to hide medical information by using steganographic techniques with high PSNR, less MSE and high SSIM is identified for different modalities. Implementation of steganography in bio-medical field yields high imperceptibility and embedding capacity