Reviewerly/exHarmony huggingface dataset:
Forecasting Indihome Users By Using Trigonometrics, Box Cox, Transformation, Arma Error, Trend, And Seasonal (TBATS) Methods

Authors:
raw_author_name: Rina Filia Sari
raw_affiliation_string: Universitas Islam Negeri Sumatera Utara

Abstract: The rapid growth in the use of telecommunication services, particularly IndiHome, has created a pressing need to comprehend and forecast the dynamics of user growth. The swift development of IndiHome services in Pematangsiantar underscores the importance of efficiently forecasting and managing user growth. This research aims to predict future IndiHome users using the TBATS method (Trigonometrics, Box Cox Transformation, Arma Error, Trend, and Seasonal). User data for IndiHome services were obtained from Telekomunikasi Indonesia (Telkom) Pematangsiantar. The collected data underwent analysis and interpolation using the TBATS method. The choice of the TBATS method is attributed to its capability to handle complex patterns of seasonality, trends, and variability in telecommunication service usage data. The TBATS method involves model optimization and model validation using the Mean Absolute Percentage Error (MAPE). The forecasted results for IndiHome users in the next 5 years, with the highest IndiHome users reaching 426,9432, indicate a reasonable forecasting performance. The accuracy of the forecast, as measured by the MAPE calculation, ranges around 30.5%, signifying that the TBATS method demonstrates a satisfactory forecasting capability for IndiHome user data.
Implementasi Artificial Intelligence (AI) di Obrit Future Academy

Authors:
raw_author_name: None Rezeky Nur Amalia
raw_affiliation_string: Mahasiswa Universitas Lambung Mangkurat Banjarmasin
raw_author_name: None Agus Salim
raw_affiliation_string: Universitas Lambung Mangkurat Banjarmasin
raw_author_name: None Agus Hadi Utama
raw_affiliation_string: Universitas Lambung Mangkurat Banjarmasin

Abstract: The government is obliged to provide the best educational services for the younger generation in order to create superior quality human resources as regulated by Law of the Republic of Indonesia Number 20 of 2003 concerning National Higher Education. The Ministry of Education, Culture, Research and Technology established the Independent Campus Orbit Future Academy (OFA) program which is an institution that is a pioneer in developing adaptive and innovative learning models. There are two main dimensions carried out by OFA to commit to improving the quality of life, namely providing special skills learning and the application of Artificial Intelligence (AI). Skills development at OFA aims to solve complex problems in the context of retail inventory management. Therefore, this study will discuss further the implementation of AI in retail inventory management with computer vision carried out at OFA. This research includes descriptive qualitative research with data collection techniques in the form of observation and research carried out directly at Orbit Future Academy. Data were analyzed using library research techniques. The findings show that the application and modeling of AI systems can be applied in retail inventory management through Python programming. The existence of AI can be applied in developing applications that have a real impact on the business sector and solving retail investment problems. Specifically, Computer Vision was developed as a smart and efficient solution for managing inventory. The resulting technology is a system that can see and recognize products automatically from visual images, minimize slow stock updates, optimize operational efficiency and reduce human error. Thus, overall the application of AI through Computer Vision in OFA can be an innovative solution developed as the latest technology to improve retail inventory.
bSDD FOR ARTWORKS IN HBIM OPEN AND STANDARD-ORIENTED DOCUMENTATION

Authors:
raw_author_name: S. Scandurra
raw_affiliation_string: University Federico II, Naples, Italy
raw_author_name: E. Lanzara
raw_affiliation_string: University Suor Orsola Benincasa, Naples, Italy

Abstract: Abstract. This contribution shows part of a research activity aimed at supporting data documentation related to artworks and decorative apparatuses that characterize the architectural heritage using bSDD as a methodological tool. The proposal approach aims to provide specific information in SCAN-to-BIM processes, implementing HBIM models of decorative apparatuses or artworks with data on the state of conservation and morphological-structural composition according to the material of each component of the system (Lanzara and Scandurra, 2023). The main goal of this activity is the creation of open and detailed information models shareable and consultable via IFC exchange format (ISO 16739:2018), supporting conservation, prevention, maintenance and restoration of historical-artistic heritage. The use of codes, manuals, vocabularies and thesauri, and the multidisciplinary knowledge of specialists, shared within the theoretical and operational framework of the restoration and conservation of cultural heritage, informally contribute to supplement existing codes and to implement/define new datasets for information about deficient and not codified conservation states for specific materials. The structuring of the Data Dictionary is supported by ACCA software's usBIM.bSDD application, accessible via a collaborative web-based platform (Scandurra and di Luggo, 2023). According to the proposed workflow, shared terms and definitions can be integrated within the graphic model of the manufacts and structured within a CDE – Common Data Environment. The system, which has already been tested in the context of historical architecture, is currently being tested on movable and immovable decorative apparatuses and artworks, selected for their constituent materials and compositional complexity. This contribution presents the experimentation on the decorative apparatus of the major altar of the Church of Santa Maria di Costantinopoli in Naples.
EVALUATION OF NERF 3D RECONSTRUCTION FOR ROCK ART DOCUMENTATION

Authors:
raw_author_name: Z. Majid
raw_affiliation_string: Geopark Research and Innovation Unit, Geospatial Imaging and Information Research Group, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia Johor, Malaysia

Abstract: Abstract. Digital documentation of rock art traditionally relies on a point cloud captured by a terrestrial laser scanner (TLS) or derived from an oriented image obtained using photogrammetry. In modern photogrammetry, the dense point cloud is generated using multi-view stereo (MVS) and subsequently used to generate a photorealistic 3D model. A recent method to reconstruct 3D models from images is Neural Radiance Fields (NeRF), which uses volume density to render the scenes through neural networks. The advantage of NeRF is that it can construct 3D models faster without using high computer processors and memory. NeRF has been studied in various applications, including cultural heritage, but not specifically for rock art documentation. Therefore, this paper evaluates three-dimensional (3D) reconstruction techniques using NeRF on Nerfstudio platform on two rock art datasets and compares them with the point cloud and 3D mesh models obtained from TLS and photogrammetry/MVS. The results have shown that NeRF does not match MVS in achieving geometric precision and texture quality. However, its learning-based approach accelerates reconstruction and offers potential enhancements to complement photogrammetric workflow.
A New Approach for Software Cost Estimation with a Hybrid Tabu Search and Invasive Weed Optimization Algorithms

Authors:
raw_author_name: Mazen Ismaeel Ghareb
raw_affiliation_string: Department of Computer Science, College of Science and Technology, University of Human Development, Kurdistan Region, Iraq

Abstract: Due to the ever-increasing progress of software projects and their widespread impact on all industries, models must be designed and implemented to analyze and estimate costs and time. Until now, most of the software cost estimation (SCE) has been based on the analyst’s experiences and similar projects and these models are often inaccurate and inappropriate. The project will not be finished in the specified time and will include additional costs. Algorithmic models such as COCOMO are not very accurate in SCE. They are linear and the appropriate value for effort factors is not considered. On the other hand, artificial intelligence models have made significant progress in the cost estimation modeling of software projects in the past three decades. These models determine the correct value for effort factors through iteration and training, providing a more accurate estimate compared to algorithmic models. This paper employs a hybrid model incorporating the Tabu Search (TS) algorithm and the Invasive Weed Optimization (IWO) algorithm for SCE. IWO algorithm solutions are improved using the TS algorithm. The NASA60, NASA63, NASA93, KEMERER, and MAXWELL datasets are used for the evaluation. The proposed model has been able to reduce the MMRE rate compared to the IWO algorithm and the TS algorithm. The proposed model on the NASA60, NASA63, NASA93, KEMERER, and MAXWELL datasets obtained values of MMRE of 15.43, 17.05, 28.75, 58.43, and 22.46, respectively.
Key Research Ideas of Artificial Intelligence in Higher Education: Bibliometric Analysis and Information Mapping

Authors:
raw_author_name: Toto Nusantara
raw_affiliation_string: Universitas Negeri Malang
raw_author_name: Santi Irawati
raw_affiliation_string: Universitas Negeri Malang

Abstract: This research aims to describe and map information and research ideas that can be developed in the application of artificial intelligence in higher education. The method applied in this research is Preferred Reporting Items For Systematic Reviews And Meta-Analyses (PRISMA) which uses scientific articles or proceedings sourced from the Scopus database which are analyzed using Vos Viewer and Publish Or Perish as well as Google Trends and Dimensions. The research results reveal that artificial intelligence research covers three aspects that can be applied in higher education: development of AI tools, application of AI in learning, and digitalization of higher education.
The Impact of AI-Driven Educational Simulations and Ideation With AI on Technopreneurship Education Learning Objectives: The Integration of ChatGPT in Education

Authors:
raw_author_name: Osa Omar Sharif
raw_affiliation_string: Telkom University
raw_author_name: Ivan Diryana Sudirman
raw_affiliation_string: Bina Nusantara University

Abstract: This research analyzes the effects of implementing Artificial Intelligence (AI) technologies, particularly ChatGPT for AI-DES (AI-Driven Educational Simulations) and Ideation with AI (Artificial Intelligence), on the learning outcomes of a technopreneurship course taught at a university in Bandung. Data was collected from a sample of 128 students who participated in the technopreneurship course. The results suggest that the application of AI-DES and Ideation with AI has an interesting effect on Lecture, thus supporting the usefulness of AI technologies as valuable instruments to help improve classroom learning. The finding indicates the application of Ideation with AI tends to influence different learning processes. The results of studies show that lectures hold an important role in creating favorable project outcomes and facilitating students’ accomplishing learning objectives. The research findings highlight the importance of implementing AI technology into technopreneurship education and using Lecture as an important facilitator for achieving learning outcomes.
Development of Soft Skills in Future Preschool Teachers Using ICT in Their Professional Training

Authors:
raw_author_name: Larysa Zdanevych
raw_affiliation_string: Khmelnytskyi Humanitarian-Pedagogical Academy
raw_author_name: Tetiana Atroshchenko
raw_affiliation_string: Mukachevo State University
raw_author_name: Viktoriia Rozghon
raw_affiliation_string: Khmelnytskyi Humanitarian-Pedagogical Academy
raw_author_name: Hanna Reho
raw_affiliation_string: Transcarpathian Institute of Postgraduate Pedagogical Education

Abstract: The study explores enhancing future preschool teachers’ training by developing soft skills through information and communication technologies. A proprietary method was devised, incorporating Mentimeter, Kahoot, and other digital tools across three stages. Evaluation employed J. Phillips’ model and various coefficients. Notably, critical thinking (0.92), creativity (0.90), competitiveness (0.87), and social competence (0.84) improved. Organizational skills were well developed (74%), impacting original content delivery. Using J. Phillips’ model, high performance was observed in both preschoolers (Group 1) and students (Group 2). This method showcases potential for optimizing education through digital tools. Future research might assess contemporary digital technologies’ effectiveness in cultivating soft skills among future teachers.
Efek Perlindungan Mangsa dan Daya Dukung Variabel pada Sistem Mangsa-Pemangsa dengan Fungsi Respon Beddington-DeAngelis

Authors:
raw_author_name: Abadi Abadi
raw_affiliation_string: Universitas Negeri Surabaya

Abstract: Several species in the world have experienced extinction. To save species from extinction, a system needs to be formulated, one of which is protecting prey. Changes in physical and biological processes also have a role in the environment, namely resulting in dynamically changing carrying capacity. The rate of prey consumption by the average predator, i.e. the response function is also important in the system formulation. In this study, a prey-predator system was constructed with a Beddington-DeAngelis response function that considers prey protection and variable carrying capacity as well as a predation process that takes into account the predator population. In this research, the equilibrium point for prey-predator extinction, predator extinction, and coexistence was determined and then continued to analyze its stability. With a large prey protection value, the predator extinction equilibrium point is asymptotically stable and the coexistence equilibrium point is asymptotically stable, if and only if within a certain range of prey protection parameter values. In addition, simulations were carried out and it was concluded that at certain prey protection values, changes occurred in the stability of the system which depended on the limits of its carrying capacity.
Student Adoption of Asynchronous Learning

Authors:
raw_author_name: Artika Arista
raw_affiliation_string: Information systems, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia
raw_author_name: Intan Hesti Indriana
raw_affiliation_string: Information systems, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia
raw_author_name: None Yulnelly
raw_affiliation_string: Information systems, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia

Abstract: The educational process has been reorganized due to the epidemic, requiring educators to adopt new approaches to remote and virtual learning techniques. Future educators will employ strategies based on the use of social media, the production of videos, and the usage of virtual platforms. To develop learning videos that support online learning practicum activities or distance learning in Introduction to Databases Practicum courses, this research aims to investigate student acceptance of asynchronous learning video recordings of online learning practicum of introduction to databases in the COVID-19 pandemic. This study adopted the DeLone and McLean’s Information System Success Model (DL&amp;ML model), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theories as the conceptual framework for examining the student adoption of video recordings in the context Introduction to Databases Practicum course. Using SmartPLS 4 software, the data were modeled and evaluated utilizing the Partial Least Square Structural Equation Model (PLS-SEM). According to the 126-sample data, Perceived Ease of Use, Perceived Usefulness, Video Quality, and Information Quality affected behavioral intention to use Video Recordings during the Introduction to Databases Practicum when Covid-19 was a pandemic. The behavioral intention influences the use behavior of Video Recordings. It is suggested that the government create an adequate infrastructure to support online learning and help lecturers gain more knowledge and expertise in using technology, particularly when developing, implementing, and conducting evaluations of online learning.
Moduli of smoothness, <i>K</i>-functionals and Jackson-type inequalities associated with kernel function approximation in learning theory

Authors:
raw_author_name: Jian-Li Wang
raw_affiliation_string: Department of Mathematics, Shaoxing University, Shaoxing, Zhejiang 312000, P. R. China; E-mail Address: [email protected]

Abstract: We give investigations on a kernel function approximation problem arising from learning theory and show the convergence rate from the view of classical Fourier analysis. First, we provide the general definition for a modulus of smoothness and a K-functional, and show that they are equivalent. In particular, we give explicit representation for some moduli of smoothness. Second, we establish some Jackson-type inequalities for the approximation error associated with some non-radial kernels. Also we apply these results to some concrete classical kernel function spaces and give Jackson-type inequalities for some concrete RKHS approximation problems. Finally, we apply these discussions to learning theory and describe the learning rates with the moduli of smoothness. The tools we used are Fourier analysis and the semigroup operator. The results show that the Jackson-type inequalities of approximation by some radial kernel functions on compact set with nonempty interiors cannot be expressed with the classical moduli of smoothness.
Meta-analysis of the effect of project-based learning on enhancing 21st century skills

Authors:
raw_author_name: Muhammad Minan Chusni

Abstract: The research objective is to investigate the effect of project-based learning on improving 21st-century skills. The research method used is a survey with documentation techniques on journals available in Indonesia One Search, which is then analyzed by meta-analysis by calculating the effect size of each research variable. From the journal search results, 25 journals were obtained, consisting of 9 journals on critical thinking skills, 10 on creative thinking skills, and six on problem-solving skills. The research findings revealed that the effect of project learning on students' necessary skills was 88%, the impact of project learning on students' creative skills was 82%, and the effect of project learning on students' problem-solving was 92%.
Distributed Cognition in Fractured Ecologies

Authors:
raw_author_name: Melisa Stavanovic
raw_affiliation_string: Tampere University

Abstract: In this article we present a conversation analytic case study of a video-mediated teleconsultation in which the participants face a problem with the audio connection. During the problem-solving process the interactants need to direct one another’s attention and action in relation to technological artefacts to solve the problem. Video mediation limits physical access to distant participants’ physical ecology, which is overcome by fitting interactional practices to the communicative medium available at a given moment. Drawing on insights from the distributed cognition perspective and the CA perspective on participation, multimodality, and epistemics, we propose specifications to existing theories of problems solving, seeking to develop integrative approaches to real-world problem solving.
Between the clicks

Authors:
raw_author_name: Stig Toke Gissel

Abstract: Adaptive learning technology has the potential to tailor learning to suit individual students’ needs, desires and competence level. However, qualitative close up studies of students’ interaction with adaptive technology are rare. This study explores 4th grade mathematics students’ use of adaptive learning technology through screen recordings supplemented with analysis of data generated and tagged by the adaptive engine. The study explores how different types of students, i.e. students with varying mathematical competence levels, motivation and self-efficacy towards mathematics, interact with an adaptive learning material, what learning paths emerge for different types of students in their interaction with the adaptive learning resource and how student self-efficacy is affected by the interaction. Implications for both future design and teacher use of adaptive learning materials are discussed.
ABAC as Access Control Solution for Digital Evidence Storage

Authors:
raw_author_name: Tri Kuntoro Priyambodo
raw_affiliation_string: Department of Computer Science and Electronics, Gadjah Mada University, Yogyakarta, 55281, Indonesia
raw_author_name: Yudi Prayudi
raw_affiliation_string: Department of Informatics, Universitas Islam Indonesia, Yogyakarta, Indonesia
raw_author_name: Rahmat Budiarto
raw_affiliation_string: College of Computer Science and IT, Albaha University, Saudi Arabia

Abstract: Digital evidence is content that must be protected against access and use by parties who should not have the authority to do so. Some protection parameters for access to digital evidence must be implemented to ensure its integrity and authenticity. Access to digital evidence is not enough to be facilitated only with authorization and authentication mechanisms but must also be facilitated with other aspects of access by users according to their level of authority. One approach is to use the concept of access control. The study of access control to digital evidence is essential. However, studies on this matter are still limited. Among the many access control models, the application of access control based on attribute variations is a concept that can be applied to the context of access to digital evidence. This paper discusses policy design and modeling using attribute-based access control (ABAC) with four attributes: subject, resource, action, and environment. Then, it implements and tests various requests to the system based on attribute variations and possible algorithms. This study supports the security of digital evidence storage systems through access control to the resources it manages using the Policy Statement, Policy Modeling, Policy Implementation, and Policy Validation approaches. The application of the access control design shows that the ABAC concept has been successfully applied as an access control solution for digital evidence stored in digital evidence storage systems. The built policy design was successfully validated using ACPT Tools, concluding that there was no inconsistency or incompleteness.