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Interactive Multimedia Kolb Experiential Learning Model Using Logistic Regression Algorithm to Improve Student Cognitive

Interactive Multimedia Kolb Experiential Learning Model Usin...

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7th International Conference on Advances in Visual informatics, IVIC 2021

作者： Khoirunnisa, Azizah Nurul Munir Rasim Rahman, Eka Fitrajaya Dewi, Laksmi Curriculum Development Study Program School of Postgraduate Studies Indonesia University of Education Bandung Indonesia Computer Science Education Study Program Department of Computer Science Education Indonesia University of Education Bandung Indonesia

ISBN: (纸本)9783030902346

The differences of each student become a challenge for educators in delivering learning materials. More often than not, students often find it difficult to process study materials. Conventional study-based learning may not always have a profound impact on students. Consideration of interactive multimedia as a tool for student-centered learning has not been widely discussed in scientific research. In this paper, the authors investigate interactive multimedia using Kolb’s experiential learning model in improving students’ cognitive abilities. This study uses a pre-experimental method and one-group pre-and post-test design type with the research population in class XI RPL and a sample of SMK students in Bandung. The results show that the application of interactive multimedia using Kolb’s experiential learning model is effective in improving students’ cognitive abilities. On the other hand, it is found that combining abstract learning materials with interactive visuals and activities that involve students’ participation could create exceptionally positive feedback from students. © 2021, Springer Nature Switzerland AG.

关键词： Students

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Analysis of jejak bali virtual class using usability testing, including concurrent think aloud techniques and performance measurement techniques 3

Analysis of jejak bali virtual class using usability testing...

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3rd International Conference on Vocational education and Technology, IConVET 2020

作者： Jaya, M.P. Dantes, G.R. Candiasa, M. Computer Science Study Program Ganesha University of Education Singaraja Indonesia

Jejak Bali is a website created specifically by PUSTEKKOM to manage learning activities so Bali Provincial education Office can carry out supervision and guidance for e-learning in Bali. Many obstacles were experienced by teachers and students when using Jejak Bali. It encouraged the design of a study looking at the usability of a system from a user perspective to increase user satisfaction. The methods used were usability testing technique, Concurrent Think Aloud, and Performance Measurement which measured the effectiveness, efficiency, and user satisfaction. The population of this study were teachers and students from SMAN 2 and SMKN 3 Denpasar. In measuring Performance Measurement and CTA, the sample used consisted of 40 participants including teachers and students as well as 86 users who used the questionnaire SUS. The results of the research were: (1) Jejak Bali, for teacher and student users, was still ineffective because there were still errors made while doing the assigned assignments, (2) Jejak Bali which was seen from the time when teacher and student users were working was still inefficient because of the differences of the significant time from the advanced group to the beginners, (3) Jejak Bali still did not meet user satisfaction as seen from the results of the SUS questionnaire recapitulation in which a teacher scored 49.0 and a student scored 48.3. Because the value obtained was below 60 in the percentile rank, so it can be concluded that Jejak Bali still did not meet usability good as seen from the results obtained. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Publication of the society's sensitive personal data in the legitimate site of the general election committee 2

Publication of the society's sensitive personal data in the ...

引用

2nd International Conference on Vocational education and Technology, IConVET 2019

作者： Parwata, A. Aryanto, K.Y.E. Divayana, D.G.H. Study Program of Computer Science Postgraduate Program Ganesha University of Education Singaraja Indonesia

It is highly important to protect the society's sensitive personal data. The reason is that many personal data are published by the government institution without paying attention to the prevailing regulations. In this current study, the search for the data in the form of hyperlink with its contents in the legitimate site of the General Election Committees was conducted with the assistance of Crawling Web. The obtained contents were preprocessed using the Preprocessing Text, which were then weighted using the TF-IDF method before they were classified using the Nayve Bayes method. After that, an analysis on the types of the published sensitive personal and the extent of the publication based on the area groups was conducted. Out of 6,700 instances of the personal data which were analyzed, 6.430 were published. The personal data which were published were full name, place and date of birth, religion, marital status, ID Number of the government civil servants, identity card number, number of the tax payer, account number, mobile number, e-mail, address, position, and face photo. The level of publication based on the total data found was as follows: 11.45% in the Central General Election Committee, 21.60% in the eastern area, 17.01% in the central area and 49.94% in the eastern area. The accuracy of the Nave Bayes method averaged 96.99%. Prior to publication, the General Election Committee is recommended to respect someone's personal data as privacy and the data which would be published should obtain approval and an easily-contacted contact person. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Hypertext systems

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Optimization of artificial neural networks to improve accuracy of vocational competence selection of vocational school students using nguyen-widrow 2

Optimization of artificial neural networks to improve accura...

引用

2nd International Conference on Vocational education and Technology, IConVET 2019

作者： Christyaditama, I.G.P. Candiasa, I.M. Gunadi, I.G.A. Study Program of Computer Science Postgraduate Program Ganesha University of Education Singaraja Indonesia

The present study used Neural Network Backpropagation combined with Nguyen-Widrow to optimize the disadvantages of ANN causes, which is the difficulty in initializing initial weights. The test was conducted on a dataset of values in semesters 1 and 2. The test results show that the best performance in training model of artificial neural networks with Nguyen-widrow is the smallest average MSE error of 0.002 and the highest average accuracy of 96.38%. Training on artificial neural network model training data with Nguyen-widrow has the smallest MSE error, 0.000996 and the highest accuracy is 97.49% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The best performance was also seen in testing the testing of artificial neural network models with Nguyen-widrow with the smallest average error-MSE of 0.026 and the highest average accuracy of 87.85%. Training data testing on artificial neural network models with Nguyen-widrow has the smallest error-MSE which is 0.004436 and the highest accuracy is 94.50% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The artificial neural network model with Nguyen-widrow has an accuracy difference of 8.53% smaller than the artificial neural network model with an accuracy difference of 9.28%. It can be concluded that the Artificial Neural Network with Nguyen-Widrow can overcome the ANN problem in determining initial weights so that it gives an increase in the accuracy of the prediction of students' competency selection better than the Artificial Neural Network without Nguyen-Widrow. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Errors

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The Use of Augmented Reality, Virtual Reality, and Mixed Reality in Communication Children’s with ASD: Systematic Literature Review 8th

The Use of Augmented Reality, Virtual Reality, and Mixed Rea...

引用

8th International Visual informatics Conference, IVIC 2023

作者： Khoirunnisa, Azizah Nurul Munir Dewi, Laksmi Rasim Azizah, Nissa Nur Alivia, Zsalzsa Puspa Curriculum Development Study Program Indonesia University of Education Bandung Indonesia Computer Science Education Study Program Indonesia University of Education Bandung Indonesia

ISBN: (纸本)9789819973385

Autism spectrum disorder (ASD) is a neurobiological developmental disorder that affects communication and social interaction. Autistic children often have difficulty communicating effectively, both verbally and nonverbally. Good verbal and nonverbal communication skills help children with autism participate in social interactions. In this paper, we present a systematic literature review focused on analyzing AR/VR/Mixed reality technologies used to improve communication skills in children with ASD based on research published over the last ten years and available in relevant scientific databases. We reviewed 22 studies showing target area communication, how AR/VR/Mixed reality is used in the context of communication skills in ASD children, user experience and accessibility, technology limitations, and findings. This systematic review of the literature shows that the majority of the communication areas targeted are verbal and nonverbal simultaneously. Overall, the use of AR/VR/Mixed reality can be an alternative to improve children’s communication. Technologies that can facilitate the different abilities and emotions of children with ASD are considered in developing AR/VR/Mixed reality in the future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Augmented reality

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Convolutional Neural Network Analysis on Handwriting Patterns and Its Relationship to Personality: A Systematical Review

Convolutional Neural Network Analysis on Handwriting Pattern...

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2023 International Conference on informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Mair, Zaid Romegar Cholil, Widya Yulianti, Evi Marcelina, Dona Theresiawati Isnainiyah, Ika Nurlaili Computer and Natural Science Faculty Indo Global Mandiri University Informatics Study Program Indonesia Universitas Pembangunan Nasional Informatics Study Program Computer Science Faculty Jakarta Indonesia Indo Global Mandiri University Information System Study Program Computer and Natural Science Faculty Indonesia

ISBN: (纸本)9798350307306

It can be argued that the Convolutional Neural Network (CNN) used in this research is an efficient algorithm for classifying images based on the end prediction of the path taken. In every plot that is made, there is a similar process for achieving a prediction of the final result. The implementation for each of these procedures follows the steps that are summarized into a flow of analysis stages that can help to develop the application of an algorithm. The initial stage is to take the handwriting from the user which is then pre-processed the image, to eliminate existing noise, and sharpen the contrast, so that the image can be seen clearly. Images will be processed and analyzed using the Convolutional Neural Network model, training will be carried out, with an average training of a dataset of 100 epochs or about 7 to 10 minutes, and labeling on the trained dataset. The accuracy of the training reached 98.89%, as a proportion of the different characteristics of the handwriting sample. © 2023 IEEE.

关键词： Convolutional neural networks

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Evaluation of governance financial management information system (SIPKD) with framework of COBIT 5 in the government of Denpasar city 2

Evaluation of governance financial management information sy...

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2nd International Conference on Vocational education and Technology, IConVET 2019

作者： Vergantana, I.W.S.M. Dantes, I.G.R. Aryanto, K.Y.E. Study Program of Computer Science Postgraduate ProgramGanesha University of Education Singaraja Indonesia

Denpasar City Government is one of the government agencies that hav implemented the Regional Financial Management Information System (SIPKD). SIPKD is an integrated application that is used as a tool for regional governments for improving the effectiveness of the implementation of various regulations in the field of regional financial management based on the principles of efficiency, economic, effective, transparent, accountable and auditable. Research Evaluation of SIPKD governance in Denpasar City Government was conducted based on the framework of the COBIT 5 (Control Objective for Information & Related Technology) framework of ISACA 2012, which was modified according to the conditions at the study site. The research method used was descriptive-quantitative evaluation and cascading evaluation method at the COBIT 5 stage, by distributing questionnaires to each admin as many as 40 respondents, to get scores in the form of numbers and conducting structured interviews with BPKAD leaders to obtain the expected capability level conditions. Evaluation of SIPKD governance with COBIT 5 uses the PAM (Process Assessment Model) analysis as a reference in determining its attributes, with the results of the capability level currently at the level 3 established process in the APO01 process of 77% achieved, APO012 of 78% achiaved, DSS04 by 77% mostly achiaved, EDM03 by 78% largely achieved, and MEA03 by 77% largely achieved, which means that in the management of SIPKD the Denpasar City Government has been well established in managing SIPKD conducted by all SIPKD administrators and operators along with BPKAD leaders in Denpasar. And the results of the interview the desired results are at level 4 predictable process. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Information management

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User experience evaluation of e-report application using cognitive walkthrough (cw), heuristic evaluation (he) and user experience questionnaire (ueq) 2

User experience evaluation of e-report application using cog...

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2nd International Conference on Vocational education and Technology, IConVET 2019

作者： Dewi, P.W.S. Dantes, G.R. Indrawan, G. Computer Science Program Study Ganesha University of Education SingarajaID United States

E-Report is developed based on the web to make it easier in preparing students' assessment reports in the form of rating reports, competency achievement reports, and ledgers. Even, many high schools/vocational schools in Bali have not implemented the E-Report. Implementation of cognitive walkthrough techniques, heuristic evaluation, and users' experience questionnaire in this research aimed to find out the results of evaluating user experience from the aspects of effectiveness, efficiency, user satisfaction, and recommendations for improvement. Effectiveness and efficiency were calculated by Cognitive Walkthrough techniques (CW), user satisfaction by user experience questionnaire techniques (UEQ) and recommendations for improvement, obtained from experts who discuss aspects of usability with Heuristic Evaluation techniques and Cognitive Walkthrough data. Based on the results obtained in terms of users, E-Report has been ineffective and inefficient. While in terms of user satisfaction, respondents were satisfied with Applications E-Report. This is because the effectiveness of a task that has a very large error and failure in one of the features as well as the clarity of results that poor user satisfaction can affect processing time. Therefore, evaluation of user experience based on aspects of usability in the E-Report has not met the criteria for products with good usability. Improvements made on the start page, page values, page value results were done through a photo frame. Therefore, identifying the problems from these three sources can further optimize the usability and improve user experience on E-Report. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Surveys

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Analysis of digital identity transactions with Ethereum blockchain ethereum in a case study of credit applications in banking 2

Analysis of digital identity transactions with Ethereum bloc...

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2nd International Conference on Vocational education and Technology, IConVET 2019

作者： Wardhana, I.P.S.P. Dantes, G.R. Aryanto, K.Y.E. Computer Science Program Study Ganesha University of Education SingarajaID United States

The falsification and embezzlement of personal data are still found in several cases in the past year. The reason is personal data in physical form are easily manipulated and difficult to be distinguished from the original. The most detrimental impact is if a person's personal data is used for credit application fraud in the banking industry. Implementation of blockchain technologies, one of which is Ethereum, allows the use of contracts as a rule that must be fulfilled by the parties involved. All stored transactions are perpetual (cannot be deleted or changed), easy to be audited, transparent, and distributed at each participating node. This study aimed to develop a smart contract for personal data transactions with a case study of credit submission at the Bank. The authors developed a trial application using the prototype method in the process of assessment. Assessment was done by black box testing method in the scope of the lab with 10 credit submission data to be transacted. It is resulting in all credit submission data can be transacted and stored in the smart contract. The interview resulted in an opinion that blockchain technology can be used to store personal data and submit credit submissions at the Bank. The results of the analysis on assessments and interviews conclude that blockchain technology can be used as a medium to store personal data and secure credit applications. For future research, testing transactions can be done on Testnet networks with changing several blocks of data. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Blockchain

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Design of big data technology prototype for classification of village status based on village development index involves k-means algorithm to support village ministry Pdtt work programs 2

Design of big data technology prototype for classification o...

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2nd International Conference on sciences and Technology Applications, ICOSTA 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saronom Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia Departement of Chemistry Universitas Negeri Medan Medan20221 Indonesia

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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