Reviewerly/exHarmony huggingface dataset:
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA SISTEM INFORMASI AKUNTANSI PADA DINAS TANAMAN PANGAN DAN HORTIKULTURA PROVINSI SUMATERA UTARA

Accounting information system performance is the result of work from a series of accounting data that can be achieved by a person or group of people in an organization in accordance with their respective authorities and responsibilities, legally, not violating the law, and in accordance with moral ethics which in the end becomes a accounting information that includes transaction processing and information technology.&#x0D; The benefits of research relate to researchers, managers, agencies or institutions where research is carried out, professional organizations, scientific development and broad implementation of development. With the achievement of research objectives, this goal can be used by anyone as a user of research results and for needs.&#x0D; From the research results, it is known that User Participation and System Development Formulation are Factors Affecting the Performance of Accounting Information Systems at the Food Crops and Horticulture Department of North Sumatra Province. Meanwhile, Personnel Capability and Education and Training Programs are not Factors Affecting the Performance of Accounting Information Systems at the Department of Food Crops and Horticulture, North Sumatra Province.
Virtual Reality Sebagai Media Promosi Wisata Kuliner Halal Di Solo Baru Sukoharjo

Nowadays technology is increasingly advanced and modern. Virtual Reality (VR) is starting to be used as a medium for promoting halal culinary tourism to be relevant and important. Virtual reality (VR) is a technology that allows users to interact with a digital environment that is created in such a way that it feels real. By using VR, potential travelers can experience eating at a halal restaurant or cafe in a more immersive and realistic way before they actually visit the place. In addition, VR can also be used to introduce the menu and promote the various halal culinary dishes available. With the use of virtual reality technology, tourists or the general public can easily identify which food places are halal clearly, because currently in Solo Baru Sukoharjo there are several places to eat that are not halal because they contain non-halal food ingredients that have begun to spread, besides that tourists can also experience halal culinary experiences directly and learn about the process of making and cleaning food that is explained in de-tail. This experience can be an added value that allows the promotion of halal culinary tourism to be more effective and efficient. Through this research, it is hoped that the promotion of halal culinary tourism in Solobaru Sukoharjo can become wider and reach more tourists.
The Influence of Pay as a Motivator on the Research Productivity of Educators

Research is one of a university’s primary functions. This study aimed to determine the influence of pay as a motivator on the research productivity of educators. It utilized a mixed-methods research design. The respondents are 150 faculty members randomly selected during the 1st semester of the SY 2022-2023. It used a validated survey instrument. The results show a 0.279 weakly positive correlation between the two variables. The computed t-value for this predictor exceeds the 95% confidence interval of (.492, 1.735) by a significant margin of p=0.001, hence the researchers reject the null hypothesis, which states that pay as a motivator significantly does not influence research productivity. For the qualitative phase, the emerging themes include the issues and problems regarding research productivity including lack of time due to work overload, lack of knowledge in research writing, tedious procedures in the research approval, and lack of work motivation/encouragement. Thus, the researchers crafted recommendations that could help enhance faculty members ’ research productivity.
Organizing the work of the smart electronic lawyer in litigation

This study showed the dimensions of introducing artificial intelligence (AI) into the judicial field through a smart, non-human electronic lawyer who performs the work of a traditional lawyer, in the absence of specialized Jordanian legislation thereof. This study has discussed the aspects supporting the existence of a smart lawyer, as well as a comparison between the work of a traditional human lawyer and a smart lawyer. Finally, it has discussed the special proposals to organize the work of the smart electronic lawyer in the law firm and before the judicial authorities. The study concluded the importance of introducing the smart lawyer to the judicial work in Jordan and relying on smart lawyer software that is capable of self-development and linking its inputs to solid legal firms that provide it with the latest legislation and judicial decisions thereof and the need for a human lawyer to play the role of supervision only. The study has also recommended establishing a legal center accredited by a judicial authority to qualify specialized lawyers and license law firms that plead before smart courts. The study has also emphasized the need for a link between the smart lawyer programs and judicial or administrative bodies such as the courts or the Companies Control Department for trade names and other related agencies due to the expected benefits thereof.
Legislative Controls Securing Electronic Payment Systems

Generally, money is the backbone of economy, essential for stability of countries, and a token for the national Sovereignty. Historically, coinage was the process by which countries were confirming their Sovereignty that they kept protecting it and used the coins as acceptable method for transactions. In the modern age with the far-reaching technological development, the digital payment has become widely acceptable and commonly used thereby the sort of security required has alo changed. Many countries enacted new laws to enhance security of the electronic payments, particularly with the increased risks of cyber attacks on the national economies in addition to recent pandemic and military tensions witnessed by the world.Therefore, securing the electronic payment is a matter of national economy due to its influence on the Citizenery’s trust in the electronic transactions and the government is responsible to make it secure through the central bank. Considering this perceived importance, the authors addressed in the current study the legal mechanisms to secure the electronic payment systems.
Application of Fuzzy C Means and TOPSIS in Warehouse Selection at PT Warung Islami Bogor

PT Warung Islami Bogor needs a warehouse to store goods that come from suppliers. Currently, the selection of warehouses is still done manually and is subjective. It is feared that this will lead to inaccuracies in renting the warehouse. So an application is needed to assist companies in choosing a warehouse. The fuzzy C-Means method can be used to classify warehouse data based on the characteristics of each group. After obtaining the next group is to make a rating of each group. One method that can be used is the TOPSIS method. The TOPSIS method can be applied to this application to rank the data warehouses that have been grouped. In the selection of this warehouse, there are several criteria. The criteria used are price, building area, distance from the head office (HO), parking area, and number of floors. The calculation process is done by dividing the warehouse data into several groups and ranking them to obtain the best recommendations. This application uses the PHP programming language with the Laravel framework—testing using a black box. Fuzzy C-Means and TOPSIS calculations show that Warehouse CCC is the best warehouse in Cluster 1 with a value of 0.797, and the Warehouse in Front of Gas Station Villa Bogor Indah is the best in Cluster 2 with a value of 0.613.
PENGARUH PENGGUNAAN E-LEARNING TERHADAP HASIL BELAJAR DENGAN MINAT BELAJAR DAN MOTIVASI SEBAGAI VARIABEL INTERVENING

This study aims to explain the Effect of &lt;em&gt;E-Learning&lt;/em&gt; Use on Learning Outcomes with Interest in Learning and Motivation as intervening variables. The background of this research is how students respond to and carry out learning with current conditions, namely the Covid-19 pandemic and Industrial Work Practices which must be carried out simultaneously to continue to support learning achievement. Then the suitability of alternatives that suit these needs by conducting Online learning or &lt;em&gt;Electronic Learning&lt;/em&gt; (&lt;em&gt;E-Learning&lt;/em&gt;). The subject carried out by the researcher was student X. Data analysis techniques using SmartPLS, with quantitative methods. Questionnaire and documentation data collection techniques with a total sample of 70 students. The study results can be concluded that using &lt;em&gt;E-Learning&lt;/em&gt;, interest in learning, and motivation positively affect learning outcomes. Interest in learning has a positive effect on motivation. &lt;em&gt;E-Learning&lt;/em&gt; use positively affects learning outcomes through an interest in learning and motivation as variables that can inventory research variables
Sistem Informasi Monitoring Presensi Siswa SMP Negeri 3 Palopo Berbasis website

The problem that exists at SMP Negeri 3 Palopo Kota Palopo is that there is no information system used to convey information to subject teachers, homeroom teachers, and parents regarding student attendance, still using a manual system by recording attendance on paper. One way to reduce errors that occur is to create a website database that will store student attendance data so that the possibility of scattered data will be small, and many errors where still depend on pieces of paper as records, the impact of a manual attendance processing system causes the recapitulation process carried out by teachers in the field of study is less than optimal. In this way, information system design is expected to alleviate and prevent errors that often occur. The design of web-based attendance applications that utilize information technology, student attendance data allows it to be given directly to parents so that handling of problematic students based on attendance can be handled earlier. The concept offered is to provide a forum so that the school and parents can connect in real timeThe type of research used is Research and Development (R &amp; D) which has been developed based on needs. The R&amp;D (Research &amp;; Development) research method is used because this method is in accordance with the research objectives to be achieved, namely making a website-based attendance monitoring information system for SMP Negeri 3 Palopo students. The method used in this research process uses a waterfall approach or model or commonly called a waterfall. Because the purpose of this study is systematic or sequential. The information system in this study has been tested using blackbox testing techniques and the results can be concluded that all components in the system have run in accordance with their functions. The construction of this website as a student attendance monitoring information system at SMP Negeri 3 Palopo can help study teachers and homeroom teachers obtain accurate student attendance data information to help homeroom teachers convey attendance data information to parents better in the future
CYBERTERRORISM IN AFRICA – EXAGGERATED THREAT OR WORTHY FOE?

For many decades, the validity of the concept of cyberterrorism has been questioned. Academics have pondered whether this idea should be regarded as “fact or fancy”. Over time, development, globalization and connectivity have led one to veer towards the thought that this should be fact. However, various challenges are posed: The standalone concept of terrorism is in itself highly contested, and academics have yet to agree on a single definition of the term. Secondly, almost any form of modern threat can in the current age be studied with the added prefix “cyber-”. This raises the question of strategic approaches when combating things like cyberterrorism. The question arises: In how many ways do, and should, these approaches differ from the counterterrorism measures taken against traditional, physical terrorism, and where is a line drawn in the proverbial sand between terrorism, cyberterrorism, crime and cybercrime? In an effort to demarcate the scope and labelling of attacks as cyberterrorism and not necessarily cybercrime, academics have added the element of political motivation and fear to the young and already contested definition of cyberterrorism. This would mean that one of the only aspects differentiating cyberterrorism from terrorism is the use of information technology. This paper questions the validity of the term and threat of cyberterrorism – especially in an African context. With Africa’s limited use and penetration of information technology, the question arises whether this is really a new threat, or simply a natural evolution of the age-old threat of terrorism. Terrorists will always use the latest and best technology and means to their disposal; this research paper aims to understand whether that justifies a completely new concept in African security research.
Teaching practices &amp;#038; values of Open Science and Scholarship needs open infrastructure!

This paper presents a summary and synthesis of ten Learning Resource Metadata Initiative (LRMI) implementation projects funded by the Bill and
Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling

Education is an important factor that can affect the development of a country and is a basic human need. To ensure the continuous progress of education, it is necessary to pay attention to the results and achievements of education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) is used to explain the relationship between education outcomes and achievements and the quality dimensions of provincial education in Indonesia. However, because there is heterogeneity in the population unit, the Response Based Unit Segmentation Partial Least Square (REBUS PLS) algorithm is used to overcome the alleged heterogeneity. The results showed that there were 20 influential indicators in the structural model, with the influential paths being student activities to participation, educational facilities and infrastructure to educational outcomes and achievements, student activities to educational outcomes and achievements, and participation to educational outcomes and achievements. REBUS PLS successfully detects heterogeneity and produces two segments, with the value of R2 on the local model greater than the value of R2 on the global model and the GoF value in the GoF large category.
INVESTIGATION OF CUSTOMER PREFERENCE CHANGES FOLLOWING COVID-19 MARKET DISRUPTION USING ONLINE REVIEW ANALYSIS

Abstract COVID-19 pandemic has continued to pose a challenge to the society for almost three years, adversely affecting all segments of population in a scale unseen in the recent decades. Over the course of COVID-19 pandemic, many people have lost their jobs and income. These social and economic impacts have disrupted the market, potentially altering people's attitudes towards different product features. Therefore, this paper investigates the changes in customer preferences on various features of different products, before and after COVID-19 pandemic, using online review analysis. The proposed framework consists of four stages. Firstly, product review data is collected and preprocessed. Secondly, customer interest in product features is explored using latent Dirichlet allocation. Thirdly, customer sentiment for these features is analyzed with Valence Aware Dictionary and sEntiment Reasoner. Finally, the importance of each feature is calculated based on interpretable machine learning. The proposed method is tested on two real-world datasets – smartphone and laptop reviews. The result reveals the changes in customer sentiments and preferences for product features, thus helping companies quickly establish strategies in rapidly changing market environments.
Time as Duration in Artistic Communication

The article deals with epistemological, aesthetic and communicative aspects of time. The metalanguage of the study is the system of artistic communication. Understanding time as duration, the author uses A. Bergson’s theory of duration which has become relevant in the context of post-non-classical trends in the development of science.&#x0D; This study is based on a phenomenological analysis of the artistic communication of the twentieth century (avant-garde painting, media art, modern music, photography), and takes into account the concepts of time of G. Deleuze, multiple temporalism of I. Wallerstein and F. Braudel, ideas of E. Husserl and M. Heidegger.&#x0D; The study showed that in the conditions of the information society, the duration of social interactions changes, diachrony at the communication maximum is compressed into synchrony. Art objects, in which the reception of culture is carried out, display individual and social time, and also convey qualitative transitions and temporal layers through the procedures of duration compression and stretching.
A MULTILAYER GRAPH NETWORK-BASED TOOL FOR IDENTIFYING KEY PROJECT ACTORS

Abstract As the demands for new complex products/services increase, leading to strict constraints on budget and time-to-market, it is hard to learn from experience and improve practice. Improvement can be exercised in all aspects contributing to project management: the skill set of project personnel, the project structure, and the development process. People are the key asset of the project. Identifying the key participants in a project whose role is influential is important for improving the project's success. These people can receive support, remove their burdens, make sure their communication channels work well, etc. This paper offers a multilayer network-based method to examine an actor's influence in a project while combining two additional organizational key aspects: products and processes. Considering these three aspects together allows for a more informed evaluation of the actors' influence on the project. Using the insight from graph theory, we gain indicators related to each network actor. The influence of the actors in a multidimensional network makes it possible to present a clearer picture to decision-makers in the organization to make better decisions related to increasing the effectiveness of the development project.
Estimation of Time-Varying Inertia of Aerial Manipulators Performing Manipulation of Unknown Objects

This paper presents a method for estimating the varying inertia parameters of unmanned aerial manipulators (UAMs) while they perform manipulation maneuvers on a priori unknown objects and execute various flight maneuvers.The varying mass and moment of inertia tensor of the UAM are estimated using the UAM's force and the kinematic model of its robotic arm by means of a novel sequential Kalman filter (KF) algorithm.In order to validate the effectiveness of the mechanism, it is implemented on a highlymaneuverable VTOL-type UAV equipped with a 3 degree-of-freedom (DoF) manipulator capable of moving only on the longitudinal plane of the aircraft.
SCL-Stega: Exploring Advanced Objective in Linguistic Steganalysis using Contrastive Learning

Text steganography is becoming increasingly secure by eliminating the distribution discrepancy between normal and stego text. On the other hand, the existing cross-entropy-based steganalysis models struggle to distinguish subtle distribution differences and lack robustness regarding confusable samples. To enhance steganalysis accuracy on hard-to-detect samples, this paper draws on contrastive learning to design a text steganalysis framework incorporating supervised contrastive loss into the training process. This framework improves feature representation by pushing apart embeddings from different classes while pulling closer embeddings from the same class. The experimental results show that our method makes remarkable improvement compared to the four baseline models. Additionally, as the embedding rate increases, our method's advantages become increasingly apparent, with maximum improvements of 13.98%, 12.47%, and 13.65% over the baseline methods across three common linguistic steganalysis datasets, Twitter, IMDB, and News, respectively. Our code is available at https://github.com/Katelin-glt/SCL-Stega https://github.com/katelin-glt/SCL-Stega.
Functional Architectural Design of a Digital Forensic Readiness Cybercrime Language as a Service

Developing a generic digital forensic solution in a cloud computing platform that can address the functional requirements of digital forensic stakeholders is a complex process. The solution would require a technology-independent architectural design that addresses the challenges of incident threat identification, triggering, incident threat isolation and investigation. Existing approaches are limited to the functionality that treats these four challenges individually without the due diligence to consider their interoperability. This study proposes a context-independent and technology-neutral architecture to address these issues by developing a digital forensic readiness (DFR) based on a human language communication interaction (HLI) system that could create a cybercrime language as a service (DFClaaS). The functional architectural design of the proposed DFR HLI DFClaaS system comprises microservices, layered and event/component-based architectural patterns on top of cloud architectural patterns. The DFR HLI DFClaaS system integrates flexibility and other quality requirements to separate concerns while accommodating rigid requirements like security and reliability. The developed architecture is essential for any human-centred digital forensic solution. Therefore, integrating the developed architecture presents a reliable baseline for the digital forensic community.
Comparison of natural language processing techniques in social bot detection on Twitter during Brazilian presidential elections

Currently, there are thousands of social bots acting on different online social networks. Identifying them automatically is a computational challenge.This work uses different natural language processing methods to extract features from tweets collected during the 2018 Brazilian presidential election period in order to make the bot detection process more precise. The developed solution uses artificial intelligence techniques, combining feature selection and classification algorithms.The authors obtained the best results through a union of all the extracted features using the Random Forest classifier, achieving an precision of 0.86 for the bot class and AUC of 0.86.