Proceedings of the ICECRS
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Dataset: Digital Forensics and Artificial Intelligence: A Decade of Progress and Trends (2012-2022): Dataset: Forensik Digital dan Kecerdasan Buatan: Satu Dekade Kemajuan dan Tren (2012-2022)
This data article aims to streamline research on Digital Forensics and Artificial Intelligence by providing a comprehensive dataset derived from Lens.org. Using a three-step filtering process based on document type, publication date range, and subject matter, a total of 76 articles published between 2012 and 2022 were extracted. The analysis revealed that the University of Lausanne was the top institution, computer science was the dominant field of study, and the United Kingdom was the most active region in this domain. This dataset is valuable for researchers and practitioners seeking insights into the digital forensics and artificial intelligence landscape.
Highlights:
Comprehensive dataset of 76 articles in digital forensics and artificial intelligence from 2012 to 2022.
Analysis reveals top institutions, fields of study, and most active regions in the domain.
Valuable resource for researchers seeking insights into the digital forensics and AI landscape.
 
Dataset: Unveiling the Landscape of Online Business and CSR Strategy Research: A Comprehensive Analysis: Dataset: Mengungkap Lanskap Bisnis Online dan Penelitian Strategi CSR: Analisis Komprehensif
This data article investigates the prevalence of journal articles related to online business and CSR strategy. Using lens.org, a total of 4,929 documents were initially identified, which were further refined to 203 documents related to the law subject. The analysis reveals the most active institutions, authors, countries, and publishers in the field. The findings underscore the importance of business ethics and corporate social responsibility in the context of online businesses, providing valuable insights for researchers, policymakers, and educators.Highlights:
The study identified 203 law-related journal articles focused on online business and CSR strategy.
The University of Nottingham emerged as the top institution in the field, contributing significantly to business ethics and corporate social responsibility research.
The analysis highlights the growing importance of business ethics and corporate social responsibility in the context of online businesses.
 
Dataset: Uncovering Trends in Digital Forensics and Criminal Law Research: A Decade of Insights: Dataset: Mengungkap Tren dalam Penelitian Forensik Digital dan Hukum Pidana: Satu Dekade Wawasan
This data article explores the landscape of digital forensics and criminal law research from 2012 to 2022 by analyzing scholarly works available on Lens.org. By applying various filters such as release year, document type, and field of study, we identified 23 relevant journal articles. The analysis revealed insights into the most active institutions, authors, and publishers in the field, as well as the most prolific countries/regions. These findings offer a valuable resource for researchers, policymakers, and practitioners interested in digital forensics and criminal law.
Highlights:
A decade-long analysis of digital forensics and criminal law research from 2012 to 2022.
Identification of the most active institutions, authors, publishers, and countries/regions in the field.
Valuable insights for researchers and practitioners interested in digital forensics and criminal law.
 
Dataset: Exploring the Landscape of Cyber Harassment: A Data-driven Approach to Understanding the Legal Framework: Dataset: Menjelajahi Lanskap Pelecehan Dunia Maya: Pendekatan Berbasis Data untuk Memahami Kerangka Hukum
This research focuses on the search for articles and literature reviews on cyber harassment. The search was conducted using Lens.org, a reliable indexing agency, by using keywords such as Cyber law and Cyber Harassment. Three keywords were selected and entered into the 'edit search' feature, and the search was filtered by selecting the law category in the subject matter and choosing journal articles as the document type. The data was exported in both CSV and BibTeX formats, and a screenshot was taken of the available data graphs. The goal of this research is to collect data on cyber harassment and its legal implications. The method involved searching scholarly works using specific keywords and filtering the results based on subject matter and document type. The results obtained are valuable as they provide a comprehensive understanding of the current state of cyber harassment and its legal implications.
Highlights:
Filtering through specific categories and document types is an effective way to obtain relevant literature on cyber harassment.
The ten articles found provide a diverse range of topics related to cyber harassment, from the impact of technology on online sexual harassment to the legal response to cyberbullying.
These articles offer valuable insights for future research and can be used as references for scholars studying cyber harassment.
 
Dataset: Mapping Online Business and Commitment: Insights from Global Scholarly Works: Dataset: Pemetaan Bisnis dan Komitmen Online: Wawasan dari Karya Ilmiah Global
This data article presents the results of a search for scholarly works on online business and commitment using the Lens.org database. The data were collected by applying filters for document type and subject and exporting the resulting datasets to CSV and Bibtex files. The data were then analyzed and compiled using Zenodo.org. The data provide valuable insights into the contributions of different institutions, authors, fields of study, and countries to research on online business and commitment. The results show that the London School of Economics and Political Science is the institution that contributed the most data, with the field of political science being the most active area of research. The data also reveal that the United Kingdom is the country that provided the most data and that Springer Nature is the most prolific publisher of scholarly works on this topic. These findings can be useful for scholars, students, and practitioners interested in online business and commitment, and the data can be used for further research and experimentation.
Highlights:
The data article presents search results on online business and commitment from the Lens.org database.
The data provide insights on institutions, authors, fields of study, and countries that contribute to research on the topic.
The findings can be useful for scholars, students, and practitioners interested in online business and commitment, and the data can be used for further research and experimentation.
 
Dataset: Digital Forensic Literature with a Focus on Software: Trends, Institutions, and Authors (2012-2022): Dataset: Literatur Forensik Digital dengan Fokus pada Perangkat Lunak: Tren, Institusi, dan Penulis (2012-2022)
This data article presents a thorough examination of digital forensic literature with a focus on software from 2012 to 2022, retrieved from lens.org, with the aim of identifying the most influential institutions, authors, and research trends. Using keywords "digital forensic AND software," the data collection process involved filtering by date range, document type, and subject matter, resulting in 427 journal articles. The analysis highlights the most productive institutions, years, fields of study, active authors, and publishers. This data is valuable for researchers and practitioners in digital forensics, particularly those interested in software applications, providing insights into the most significant contributions and aiding future research development.
Highlights:
Research in the field of digital forensics is growing rapidly, with the Université de Lausanne being the leading institution in the number of publications.
Computer science is the most popular field of study in digital forensics, with a focus on analysing software and file systems.
Elsevier B.V. is the leading publisher in digital forensics, with the journal Digital Investigation as the main source of publications.
 
Dataset: Cyberlaw and Copyright in the 21st Century: A Comprehensive Analysis of Scholarly Works: Dataset: Hukum siber dan hak cipta di abad ke-21: Analisis Komprehensif atas Karya Ilmiah
This data article presents a collection of scholarly works related to Cyberlaw and Copyright in the field of law, obtained through the Lens.org website. The data were obtained by searching for scholarly works using keywords Cyberlaw or Cyber Law and Copyright and filtering them by document type (journal article), date range (2012-2022), and subject matter (law). The data were exported in CSV and BibTex formats and are available in the Zenodo repository. The analysis of the data using VOSViewer and Lens.org tools revealed the top institutions, fields of study, active authors, countries/regions, publishers, and journals. The results of this study provide a valuable resource for researchers and practitioners interested in the legal aspects of Cyberlaw and Copyright.
Highlights:
Valuable resource for Cyberlaw and Copyright research
Comprehensive analysis of scholarly works from 2012-2022
Reveals top institutions, authors, and publishers in the field.
 
Positive Reinforcement Techniques as a Media to Improve Social Interaction Capabilities in Adolescent with Hebefrenic Schizophrenia: Teknik Penguatan Positif sebagai Media untuk Meningkatkan Kemampuan Interaksi Sosial pada Remaja dengan Skizofrenia Hebefrenik
This study aims to intervene in one of the adolescent patients with hebephrenic schizophrenia who are in RSJ Menur Surabaya. The Researcher gave an intervention in the form of behavioral therapy which is a positive reinforcement to be able to improve the ability of social interaction with others, dare to socialize with the environment or actively participate in groups. The intervention carried out eight meeting sessions. Each session has a different target according to indicators of social interaction. If the client is able to reach the target, the researcher gives an reward in the form of praise, food or activities (for example: drawing) that he likes.This therapy is believed to be able to increase the ability of social interaction. The method used in study is an experimental with a case study approach. Before the behavioral interventions that appear on the client are ideology of greatness, visual and auditory hallucinations, don’t want to communicate with others, like to be alone, lack confidence, and do not participate in group activities. After being given an intervention the client realizes his mind is only an imagination, no longer hears whispers, wants to communicate with others, and is active in a group. The results of this study indicate that positive reinforcement is effectively used as a medium to improve the ability af social interaction on the subject
GIST Strategy Effect on Reading Descriptive Text
The purpose of this study to find out whether there is a significant effect of GIST strategy to teach reading comprehension in descriptive text of seven grade students. This study uses quantitative method. The study usedtrue experimental which took two classes randomly, VII I as experimental class and VII H as control class. The instrument used a test. The result showed from a mean of the pretest in experimental class is 75.13 and posttest is 86.94. The researchers used the ttest formula to calculate the results of the data and hypothesis. The result of tvalue is higher than a ttable,ttest is 3.415 higher than ttable 1.994 with degree freedom 70 and level significance 5%. It means that the Ha is accepted and H0is rejected. The concluded there is a significant effect of GIST strategy to teach reading comprehension of seven grade students at SMPN 4 Sidoarjo
The Effect of Knowledge Management Implementation and Motivation on Employee Performance with Learning Organization as an Intervening Variable (Study on a Construction Consulting Service Company INKINDO East Java Member): Pengaruh Penerapan Knowledge Management dan Motivasi Terhadap Kinerja Karyawan dengan Learning Organization Sebagai Variabel Intervening (Study Pada Perusahaaan Jasa Konsultansi Konstruksi Anggota INKINDO Jawa Timur)
The purpose of this study is to determine the Influence of Application Knowledge Management And Motivation To Employee Performance that is mediated by Learning Organization either directly or indirectly. The data in this study using the data tabulation of respondents from the results of the questionnaire. The sample used in this research is 248 employees in Construction Consultant Company of Inkindo Member of East Java. The analytical tool used is SEM (Structural Equation Modeling) analysis with Amos program. The primary data is obtained from the questionnaire which measurement using Likert scale which tested the validity and reliability, SEM evaluation and hypothesis test with the respondent's deskritif and variable. Result of research based on validity and reliability test show that data have valid and reliable. Based on the SEM test shows that Knowledge Management and Motivation affect the learning organization, besides Knowledge Management and motivation also have an effect on the performance that is mediated by learning organization either directly or indirectly