Reviewerly/exHarmony huggingface dataset:
Self-Efficacy and Engagement of Islamic Religious Education Students in Online Learning : A Qualitative Approach at Indonesian Higher Education

Lack studies have determined the factors that affected students' engagement and self-efficacy in online learning at Indonesian higher education institutions, therefore, this scientific work intends to fill the knowledge gap about self-efficacy and engagement qualitatively. The research questions are focused on determining the level of self-efficacy and engagement of students with online learning activities. A qualitative research design was chosen to answer the phenomenon. Observations, interviews, and documentation techniques are used to collect the data. The subject of this research was fifty undergraduate students of the Faculty of Tarbiyah at IAIN Sorong. All of those participants were chosen because they have been experiencing online learning instruction. The data analysis was done by extensively coding the transcripts of the interviews and observations. The correctness of the transcripts of the audiotaped interviews was compared to the original recordings. High self-efficacy and contributing factors include the easeof the online environment, time management, and technology use. However, low self-efficacy and contributed factors are unstable internet access, and unfamiliar online learning applications. Enthusiasm, challenge, usefulness, emotion, participation, and performance are contributing factors to high student engagement. Low engagement and contributing factors: signal interruption, an inadequate device, and a monotonous teaching and learning process
Peningkatan Keterampilan Menulis Puisi Dengan Penerapan Metode Hypnoteaching Pada Siswa Kelas X Di SMAN 1 Bantaeng

The purpose of this study was to find out how much the students' poetry writing skills increased through the application of the hypnoteaching method in class X MIPA 4 SMAN 1 Bantaeng in learning Indonesian. This type of research is classroom action research (CAR) with quantitative and qualitative analysis techniques using the hypnoteaching method. Based on the results of pre-cycle, cycle I, and cycle II data analysis, it was found that the average class scores obtained by students in learning to write poetry increased. In the pre-cycle, the average class value achieved was 62. In the first cycle, there was an increase in the average value from pre-cycle 11 with the average class value reaching 73. The increase in the average class value also occurred in cycle II, namely the average the class value achieved was 80.25 or an increase from cycle I of 7.25, while an increase from pre-cycle to stage II of cycle was 18.25. Based on the results of this research, it is suggested to Indonesian language and literature teachers to be able to use the hypnoteaching method in learning to write poetry.
Emphasizing Lithostratigraphic Rules In Distinction Of Formal Units: Sinjar Vs Khurmala Formations, Case Study

Recognition, identification, and correlation of formal lithostratigraphic units should always follow the rules of the definition of lithostratigraphic units established in the Stratigraphic Code of Nomenclature, set by the International Stratigraphic Commission. This case study is attempting at elaborating on this argument by discussing the identification and differentiation between the Sinjar and Khurmala formations in outcrop and well sections. Stratigraphic data for this study were compiled basin-wide, with nearly fifty localities of both formations from the Zagros foreland basin of Kurdistan in NE Iraq. Examinations include a review of microfacies documentation, Facies reinterpretation as well as sequence analysis. The Sinjar and Khurmala formations are carbonate units developed during the final filling stage of the Zagros foreland basin of northeast Iraq. The Sinjar Formation is characterized by shallow marine coralgal-foraminiferal limestone of reefal, lagoonal, shoal, and overall ramp setting. Other lithologies such as dolomitic limestone or marly limestone are minor and secondary. The Khurmala Formation, on the other hand, is dominated by thick beds of dolostone with secondary lithologies including recrystallized limestone and dolomitic limestone and marly limestone. Microfacies analysis of the Khurmala Formation reveals that it represents a lagoonal lithofacies equivalent to the lagoonal facies of the Sinjar Formation but intensively dolomitized at specific areas of the basin. This close relationship between the two formations, leading in some cases to mixing between both lithologies or rather confusion and misidentification. The best way of differentiating between the two units is by adhering to the lithostratigraphic rules and principles of the formal stratigraphic description, which emphasize the formal lithostratigraphic description of each formation.
PELATIHAN PENANGANAN VIRUS KOMPUTER PADA KOMUNITAS PEKON BUMI REJO KECAMATAN PAGELARAN KABUPATEN PRINGSEWU

Everyday life of society has changed significantly as a result of technological advances. Not to mention the development of viruses that can infect a computer or laptop, the need to deal with viruses that can harm the computer and must be handled appropriately, but there are still several ways to eliminate them before causing serious damage. The operating system and applications can be damaged by viruses. Therefore, it is very important for the Pekon Bumi Rejo community in Pagelaran District, Pringsewu Regency to have the necessary expertise to fight this virus. The suggested solution is to teach the public how to deal with viruses on a computer through this training so that they can use knowledge and understanding to protect their own computer or laptop from the invading virus. The implementation of this community service activity uses digital modules, through training that is used to put community service projects into action. Keywords: Training, Handling, Viruses, Computers, Society
Website Evaluation of The Faculty of Industrial Technology Universitas Islam Indonesia Using the System Usability Scale Method

In order to maintain and improve the quality of the website of the Faculty of Industrial Technology (FTI), Universitas Islam Indonesia (UII), usability testing is performed on the website using the System Usability Scale (SUS). This study aims to evaluate usability and analyze the user experience on the FTI UII website so that the faculty can follow up on it. Respondents consisted of 41 active FTI UII students. Respondents were asked to complete scenarios on the FTI website while being watched by examiners. They then filled out the SUS questionnaire, which had 10 statements and a Likert scale for answers. Using the SUS method, the test scores were 69.32. Based on these results, the acceptability of the FTI web is in the MARGINAL HIGH range, the adjective rating is at an OK level close to GOOD, the grade scale is in class C, and the Net Promoter Score (NPS) could be passive on website users. On the basis of these results, it can be concluded that the usability of the FTI UII website is acceptable to users but has not yet attained a maximum score; therefore, a user has not yet recommended the site to other users. This confirms that the FTI website requires additional enhancements.
A parallel algorithm to find the exact solution of the travelling salesman problem

The traveling salesman problem (TSP) is a problem in computer science that has been extensively studied and has a wide variety of real-world applications. It is considered an NP-hard issue since the only way to get a precise solution to it is to wait an exponentially long amount of time unless P=NP. Both accurate and heuristic algorithms exist to tackle this problem. The Branch-and-Bound algorithm (BnB) is often regarded as the most significant precise approach, despite the fact that it traverses, in the worst scenario, all potential tours in order to calculate the tour efficiently. This study proposed an efficient parallel algorithm to solve TSP by using a cluster multicore system. An exact algorithm will be used to get the optimal solution, and to expedite the search for the best path, we have employed a multi-threaded approach that capitalizes on the processing power of multiple CPU cores to concurrently process sub-problems.
Pengaruh Beasiswa Terhadap Motivasi Belajar Mahasasiswa Pendidikan Ekonomi Angkatan 2019 Universitas Negeri Gorontalo

The purpose of this study was to determine the effect of scholarships on learning motivation, Department of Economics Education, Faculty of Economics, State University of Gorontalo Class of 2019. This study uses a quantitative approach, with survey research methods. The data used is primary data obtained from distributing questionnaires to students of the 2019 Economic Education Study Program. The number of samples in this study was 34 respondents. Data analysis technique using simple linear regression. The results of the study show that there is an effect of scholarships on the learning motivation of students of economic education class of 2019. The magnitude of the influence of scholarships on student learning motivation is 59%, while the rest is influenced by variables not examined by 41%.
Pengaruh Minat Dalam Memilih Program Keahlian Akuntansi Terhadap Prestasi Belajar Siswa Kelas X di SMK Negeri 1 Batudaa Kabupaten Gorontalo

The research applied a total population sampling technique. As a result, the entire population (41 students) was selected as the sample of this research. Research data were collected through observations, questionnaires, and documentation. The findings reveal that there is a positive correlation between rising students’ interest in selecting an accounting expertise program and rising students learning achievement, with the correlation coefficient value of the previously obtained regression model of 0,697. This value indicated that 67,9% of the variables effecting students’ learning achievement in the tenth grade at SMK Negeri 1 Batudaa are influenced by students’ interest in selecting an accounting expertise program, while the remaining 30,3% are influenced by other variables that are not examined in this study.
Optimum yearly and seasonal tilt angle of solar system in the center of Babylon/Iraq using PVsyst software

The photovoltaic system tilt angle is one of the more significant factors for obtaining the maximum solar energy that will fall on the PV panel. Consequently, then obtain maximum power output, the solar array needs to be angled properly. The analysis for a stand-alone system is simulated and modelled using PVsyst software version-7.2 for system power 3,120 Wp to obtain the optimum value of the tilt angles of maximum solar irradiation in the center of Babylon Governorate, Iraq. The ideal tilt angle for the south has been found for both yearly and the seasons. Different tilt angles were taken which were (29°, 30°, and 31°) annually, azimuth angle for all is (0°). The incident global irradiation in the collector plane, Incident beam irradiation in the collector plane is maximum at tilt angle (29°) that produces maximum available energy 5,132 kWh/kWp/year. same processing for annual different tilt angle was taken for seasonally; the results show that the angle (49°) for summer and (13°) for winter are the optimum tilt angle which obtains the maximum incident global irradiation in the collector plane, maximum incident beam irradiation in the collector plane at this angle then product maximum available energy 5,343 kWh/kWp/year.
Efficient and secure hybrid chaotic key generation for light encryption device block cipher

Lightweight cryptographic algorithms must develop to ensure the confidentiality and integrity of the data in resource-constrained devices. Keys are vital to every cryptography algorithm because they provide randomness, complexity, unexpected nature, and robustness. A light encryption device (LED) is considered a lighter version of advanced encryption standard (AES), but it is vulnerable to related key attacks due to using the same key during the whole encryption process. This paper presents a hybrid chaotic key generator (HCKG) based on 3D Lorenz, and 2D Henon maps to generate a highly randomized key that combines with the LED to provide a high level of secure encryption on resource-constrained devices. We modified the HCKG every four rounds via simple operations to get the subkeys and XORed it with the state to increase the complexity of the ciphertext. Moreover, the HCKG with subkeys allows us to decrease the total number of LED rounds from 32 to 24 to minimize the calculation cost while maintaining a high level of security. National Institute of Science and Technology (NIST) test suite proves that the proposed LED-HCKG demonstrates a high-performance increase by nearly 0.3283 higher than LED concerning data integrity and secrecy.
Dzongkha to English translation using the neural machine translation approach

&lt;span&gt;In this era of technology, a communication barrier is a thing of the past. With each passing day, different types of language-based applications are being launched. There are 109 official languages Google has translated to date. However, the Dzongkha translation has not been studied. The purpose of this paper was to study Dzongkha to English translation. The parallel corpus was collected from the Dzongkha development commission of Bhutan. The dataset consisted of 53018 sentence pairs. Unique words in Dzongkha and English were 13,393 and 12,506 respectively. Different neural machine translation models were implemented. The experimental results show that the bleu score of Seq2Seq models followed a fluctuating trend. However, the bleu score of the transformer model increases gradually. It was observed that the transformer outperformed the Seq2Seq models. The highest accuracy and the lowest training loss obtained were 84.46% and 0.014858 respectively with a bleu score of 64.89.&lt;/span&gt;
Data mining technique for grouping products using clustering based on association

&lt;span&gt;There is high competition between these minimarkets so many products sold in each minimarket are not sold until they expire. The aim of this study is to help retail managers cluster products in minimarkets. The data obtained will be processed using the hybrid data mining approach by combining two methods in data mining. In the first section, association uses the FP-Growth algorithm, and in the second section, clustering uses the K-means algorithm. From the experimental results, it can be seen that the proposed approach can minimize the number of products to be grouped. After the association process is carried out, from 29 products in 12 transactions, 6 products can be obtained that has a frequency above the minimum support and minimum confidence. After the clustering process, 6 products are grouped into 2 clusters, so that 1 product is included in the most interested product cluster and 5 products are included in the interested product cluster. We minimize data processing so that retail managers can process data directly from sales transaction data on the cashier's computer and can quickly get the results of product grouping.&lt;/span&gt;
Ellipsis

Physicians used to call pages back to be greeted by a faceless voice. Now, they may more frequently receive electronic messages from a voiceless face.
A Survey on Hybrid Cryptography for Secure File Storage on the Cloud

Abstract: This paper suggests the use of hybrid cryptography for safe cloud file storage and gives a software to implement it. To establish higher security measures, the application mixes symmetric and asymmetric encryption algorithms. The data is encrypted using symmetric encryption, and the symmetric key is encrypted using asymmetric encryption, guaranteeing that the data is encrypted using a unique key for each user while also protecting the key itself. The Advanced Encryption Standard (AES) algorithm is used for symmetric encryption, whereas the Rivest-Shamir-Adleman (RSA) method is used for asymmetric encryption. It has functions like user authentication, file upload/download, and key management. This study illustrates the efficacy of hybrid cryptography for protecting cloud-stored information and gives a framework for implementing it.
THE MECHANISMS AGAINST THE ELECTRONIC CRIMES IN THE ALGERIAN PENAL CODE

The spread of modem technology and its uses that affected all the life aspects brought about positive and negative changes and transformations. Undoubtedly, the information revolution and the high techniques it is based on such as the computers and internet left positive effects and made a giant leap for the people’s and states’ lives thanks to the speed and exactitude of these systems. Moreover, these systems allow for storing information and exchanging them easily. Nevertheless, this technology led to many negatives such as the difficulty of achieving the information security due to the easy access to them, and the violation of information and their freedom.&#x0D; The technological advance and the spread of the modern communication tools brought about a new form of crimes called the electronic crime. Therefore, the Algerian Legislator intervened against it to provide penal protection for the information systems through making amendments on the penal code to make it respond to the criminal developments in the field of information and communication technologies ICT. Besides, He enacted new laws to guarantee the penal protection to the electronic transactions. In this context, our study shall focus on the protection imposed by the Algerian Legislator on the information systems in the penal code.&#x0D; Based on what was said, we raise the following questions: What is meant by the electronic crime? What are the mechanisms set against it by the Algerian Legislator in the penal code? To what extent did the Legislator succeed in fighting the electronic crime with all its forms and, thus, providing an effective penal protection to the information systems? This shall be answered through defining the electronic crime and showing its characteristics in the first chapter, and then identifying the mechanisms set by the Algerian Legislator in the Algerian penal code in the second chapter.
THE ROLE OF STRATEGIC SUFFICIENCY IN PROMOTING PRO-ENVIRONMENTAL BEHAVIORS IN THE WORKPLACE: AN ANALYTICAL STUDY

The purpose of this study is to seek to identify the role of strategic sufficiency in promoting pro-environmental behaviors in the workplace and to suggest new Al-Haelah aimed at practicing these behaviors for the enormous company under study, heading towards paths to achieve strategic sufficiency at all levels. The study included qualitative analysis of data related to the Al-Haelah Company in Karbala Governorate under study, and the study sample included 110 individuals working in this company. The study sought to test several hypotheses related to the influence relationships between the study variables represented by strategic sufficiency and pro-environmental behaviors in the workplace. The data were processed through statistical methods using the program (SPSS). The results of the statistical analysis of the data collected through the questionnaire tool prepared for this purpose, in addition to the theoretical conclusions from it, showed that the company adopted strategic sufficiency to improve pro-environmental behaviors by focusing on effective communication and efficient access to knowledge, as well as using them to improve the level of enjoyment The workplace of the employees, and knowledge of the workplace environment of the employees, but it adopted effective communication individually to improve the connection with the nature and place of work of the employees. This study contributes as an attempt to contribute to revealing the role of strategic sufficiency as a strategic tool for Al-Haelah company to promote pro-environmental behaviors.
PENINGKATAN KETERAMPILAN MENULIS PARAGRAF DESKRIPSI MELALUI TEKNIK PENGAMATAN OBJEK LANGSUNG PADA SISWA KELAS IV C SDN PAKIS V SURABAYA

Writing skills are one of several basic language competencies that students must have in order to be skilled at communicating in writing. However, in learning Indonesian, the writing aspect in class IV C is still relatively low. Based on these problems, the purpose of this research is to increase student activity in learning to write descriptive paragraphs and improve skills in writing descriptive paragraphs. This study uses Classroom Action Research (CAR) procedures which consist of four series of activities in each cycle (1) planning, (2) action, (3) observation, and (4) reflection. The results of this study showed an increase from cycle I and cycle II, student activity in cycle I reached 72%, while in cycle II it increased to 82%. Classical mastery in writing paragrah description skills in cycle I reached 32.26% and in cycle II increased to 83.87%. From the results of this study it can be concluded that the use of direct object observation techniques can improve the skills of writing descriptive paragraphs in class IV C SDN Pakis V Surabaya.
HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer

Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts.After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization.First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience.Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions.Also, the Screenshots help illustrate the mentioned concepts.Finally, the "Results and Discussion" section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman's visual-information-seeking mantra and solve some desktop metaphor-related issues.Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer.On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731.The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel.Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.
Phishing Detection Applications for Website and Domain at Browser using Virustototal API

The purpose of this research is to create a browser extension-based application that can detect malicious sites to minimize phishing attacks. The research method used is to conduct a literature study and collect data from the questionnaire results. Research testing methods are blackbox testing, performance testing using 100 URL with precision and recall method, and comparison between two other simillar applications. The results of this study indicate that this application has good functionality and can reduce phishing attacks on users. The conclusion that can be drawn from this research is that the malicious site detection feature in browser extensions can enhance user protection from phishing attacks