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Percentage of Effect of Blended Learning Madel on Learning Outcome

Percentage of Effect of Blended Learning Madel on Learning O...

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International Conference on Informatics and Computing (ICIC)

作者： Anthony Anggrawan Computer Science study program of University of Bumigora Mataram Indonesia

Learning technology provides new strategies in the learning patterns. Learning activities do not depend entirely on face-to-face classes, but could be realized in blended learning. Blended learning is an embodiment of learning that integrates face-to-face and online teaching. Consequently it could be better in accommodating student learning styles. The problem is what percentage of blended learning model influence the student learning outcomes. It is known that research related to the magnitude or percentage of the affect of mixed learning patterns on learning results has not been studied before, so this research becomes relevant research. This research method is experimental research. The benefit of this study is to discover how much the blended learning model contributed to student learning outcome. The result of this study found that the percentage impact of mixed learning model on learning outcome in Algorithm and programming instruction is 34.81%.

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Biodiversity of fish resources in Sungsang Estuaries of South Sumatra 3

Biodiversity of fish resources in Sungsang Estuaries of Sout...

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3rd EMBRIO International Workshop on Marine Biodiversity: Understanding, Utilization, Conservation, EIW 2018

作者： Fauziyah Nurhayati Bernas, S.M. Putera, A. Suteja, Y. Agustiani, F. Marine Science Study Program Faculty of Mathematics and Natural Sciences Sriwijaya University Indonesia Environmental Management Study Program Faculty of Agriculture Sriwijaya University Indonesia Faculty of Agriculture Sriwijaya University Indonesia Information System Department Faculty of Computer Science Sriwijaya University Indonesia Marine Science Department Faculty of Marine Sciences and Fisheries Udayana University Indonesia

The purpose of this study was to assess the fish biodiversity of Sungsang estuaries in South Sumatra. The species diversity, evenness, dominance, degree of similarity, and composition of fish communities as well as some physicochemical conditions were analyzed in order to establish the baseline data inventory of Sungsang estuaries. The results show that all of the physico-chemical parameters were in good condition for fish sustainability. Forty-eight (48) species of fish belonging to 29 families of freshwater, brackish water and marine sources were encountered in the water bodies. Johnius belangerii, Johnius amblycephalus and Setipinna taty were species with a relatively high abundance, but the appearance frequency of these species was high, medium and low, respectively. The value of the Shannon's diversity index for fish resources was classified as moderate (H'=1.477-2.708). The index value of evenness was classified as high (J'= 0.616 - 0.876), while the index value of dominance was classified as low (D = 0.097 - 0.382). This result indicate that the species diversity was good enough, the species spread was evenly distributed, that there was a stable community structure and no domination. © Published under licence by IOP Publishing Ltd.

关键词： Estuaries

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Twenty years of e-learning in health science: A bibliometric 7

Twenty years of e-learning in health science: A bibliometric

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Maulana, Fairuz Iqbal Febriantono, M. Aldiki Raharja, Dwi Risza Budi Khaeruddin Herasmara, Ridho Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Diploma III Electronic Technology Vocational Study Program University of Muhammadiyah Malang Indonesia Electrical Engineering Faculty of Science and Technology Raden Rahmat Islamic University Malang Indonesia

Education about health sciences has historically been limited in the curriculum of health professionals and largely inaccessible to the public. In practice, most of the health science education is still running conventionally. Supposedly with the advancement of technology and the use of the internet everywhere, learning such as e-learning can be important, especially in the health sector. Until this research was conducted, only 514 academic documents about e-learning in health sciences were found for 20 years from 2001 to 2020, obtained in searching on the Scopus database. This study presents a comprehensive overview of studies related to E-learning in the Health sciences sector. This study uses bibliometric analysis and indexed digital methods to map scientific publications throughout the world. This research employs the Scopus database to gather information, as well as the Scopus online analysis tool and Vosviewer to show the bibliometric network. The method consists with five stages: determining search keywords, initial search results, refinement of search results, initial compilation, and data analysis. Among the most published and indexed articles by Scopus, papers published by researchers in the United States have the highest number of publications (80), followed by United Kingdom (63) and Australia with 45 academic publications. The processed data shows the pattern and trend of increasing the number of international publications in E-learning in Health sciences field, which Scopus index. © 2022 Elsevier B.V.. All rights reserved.

关键词： Publishing

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Ecological theory provides insights about evolutionary computation 18

Ecological theory provides insights about evolutionary compu...

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2018 Genetic and Evolutionary Computation Conference, GECCO 2018

作者： Dolson, Emily Ofria, Charles BEACON Center for the Study of Evolution in Action Department of Computer Science and Engineering Program in Ecology Evolutionary Biology and Behavior Michigan State University East LansingMI United States

ISBN: (纸本)9781450357647

Promoting diversity in an evolving population is important for Evolutionary Computation (EC) because it reduces premature convergence on suboptimal fitness peaks while still encouraging both exploration and exploitation [3]. However, some types of diversity facilitate finding global optima better than other types. For example, a high mutation rate may maintain high population-level diversity, but all of those genotypes are clustered in a local region of a fitness landscape. Fitness sharing [3], on the other hand, promotes diversity via negative density dependence forcing solutions apart. Lexicase selection [5] goes one step further, dynamically selecting for diverse phenotypic traits, encouraging solutions to actively represent many portions of the landscape. © 2018 Copyright held by the owner/author(s).

关键词： Ecology

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White Bread Mold Detection using K-Means Clustering Based on Grey Level Co-Occurrence Matrix and Region of Interest

White Bread Mold Detection using K-Means Clustering Based on...

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2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Putra, Qori Alfatah Sari, Christy Atika Rachmawanto, Eko Hari Cahyo, Nur Ryan Dwi Mulyanto, Edy Alkhafaji, Mohamed Ayad University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia University of Dian Nuswantoro Department of Informatics Engineering Semarang Indonesia National University of Science and Technology Department of Computer Science DhiQar Iraq

ISBN: (纸本)9798350339215

This research paper presents a bread mold identification system that utilizes digital image processing techniques, specifically K-means clustering and thresholding, to accurately detect and classify mold-infected areas on bread. The system aims to provide valuable information regarding the safety of consuming mold-contaminated bread, enabling consumers to make informed decisions and reduce the risk of health issues associated with consuming mold-infested bread. the K-means clustering algorithm for mold classification, considering factors such as the number of iterations and the distance metric within the feature space to determine its accuracy. The GLCM feature extraction technique is employed to extract texture information from bread images, encompassing features such as standard deviation (110.62), contrast (1.46), energy, and homogeneity (0.96 and 0.77, respectively). Experimental results demonstrate that the Euclidean Distance yielded the highest result of 72.73, the Cosine Distance obtained the highest result of 8.25, and the City Block Distance obtained the highest result of 92.11. These findings showcase the effectiveness of the system in accurately detecting and classifying mold-infected areas on bread, thereby aiding in ensuring food safety and reducing health risks for consumers. © 2023 IEEE.

关键词： Image segmentation

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Decision Support System for Employee Performance Assessment for Administration Promotion Using Analytic Hierarchy Process 7

Decision Support System for Employee Performance Assessment ...

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7th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2021

作者： Kurniawan, Helmi Tanjung, Muhammad Rusdi Swondo, Ashari P Sari, Eka Purnama Negoro, Wahyu Saptha Yusfrizal Universitas Potensi Utama Faculty of Engineering and Computer Science Medan Indonesia Universitas Potensi Utama Visual Communication Design Study Program Medan Indonesia Universitas Potensi Utama English Education Study Program Medan Indonesia Universitas Potensi Utama Faculty of Economy and Business Medan Indonesia

ISBN: (纸本)9781728175225

Companies that are ready to compete must have effective management. To improve employee performance in effective management, it is necessary to support competent and competent employees in their fields. Employees who have an attitude of struggle, dedication, discipline, and professional ability are very likely to have work performance in carrying out their duties so that they are more efficient and effective. To increase employee morale, the Company will reward the best employees and be loyal to the company. This is done as an appreciation for what the employee has done for the company in achieving the company's targets. Decision making to determine the best employees can be done by the company by assessing the performance that has been done by its employees within a certain period of time. Employee performance appraisal is influenced by several criteria, namely attitude, attendance, performance and Service Period. The decision support system for selecting the best employees uses the Analytical Hierarchy Process (AHP) method, where the decision-making process is carried out by assessing alternative choices based on predetermined criteria and can also help the Company to make the best employee decisions. The alternative matrix calculation yields a score of 25.1% for Safrizal, 25.8% for Dedek Rizky, 25.1% for Amira Syakira and 24.0% for Reni Kumala, and the employee who is recommended as the best employee is the employee with the highest score, namely Dedek Rizky with a score of 25.8%. © 2021 IEEE.

关键词： Decision support systems

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Analysis and Comparative between Profile Matching and SAW Method in Decision Support 8

Analysis and Comparative between Profile Matching and SAW Me...

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8th International Conference on Cyber and IT Service Management, CITSM 2020

作者： Kurniawan, Helmi P Swondo, Ashari Purnama Sari, Eka Ummi, Khairul Rusdi Tanjung, Muhammad Yusfrizal Universitas Potensi Utama Faculty of Engineering and Computer Science Medan Indonesia English Education Study Program Universitas Potensi Utama Medan Indonesia Universitas Potensi Utama Faculty of Economy and Business Medan Indonesia Visual Communication Design Study Program Universitas Potensi Utama Medan Indonesia

ISBN: (纸本)9781728177014

A decision support system is a solution to help provide decision recommendations in determining which options to choose as a solution, in this decision support system research, namely analyzing and comparing the Matching Profile method and the SAW (Simple Additive Weighting) method in providing the best choice solution in the case of determining teaching staff acceptance. Determination of Admission, The selected teaching staff, are teaching staff who are in accordance with the criteria and quality. In an educational institution, namely TPQ Anbata, it is a very important issue to get elected teaching staff. One way to get teaching staff who is in accordance with the cafeteria is determined by selecting or determining prospective teaching staff by paying attention to various assessment criteria so that the selected teaching staff is feasible. From the tests that have been carried out, the results obtained include all test cases, and the testing is appropriate. The results of the system calculation accuracy test show that the calculation of Matching Profile and SAW (Simple Additive Weighting Method carried out by the system with manual calculations is correct and the feasibility test. Appropriate to use in making decisions determining the recruitment of teachers than the profile matching method in Anbata TPQ. The difference is in the highest value in each method. In the profile matching method, the highest value is Salman Al Fariz with a value of 4.70 while in the SAW method the highest value is Ali Gufron with a value of 8,778., it can be concluded that the most appropriate method in determining the recruitment of teaching staff at TPQ Anbata is the Profile Matching Method. © 2020 IEEE.

关键词： Decision support systems

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Smart Home Security System Using Face Recognition Based on IoT- CNN 2

Smart Home Security System Using Face Recognition Based on I...

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2nd International Conference on Information Technology Research and Innovation, ICITRI 2023

作者： Febriantono, M. Aldiki Zuhair, Alvin Khaeruddin School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia University of Islam Blitar Electrical Engineering Department Blitar Indonesia University of Muhammadiyah Malang Diploma III Electronic Technology Vocational Study Program Malang Indonesia

ISBN: (纸本)9798350324945

Home security is a crucial aspect that requires careful attention, particularly when it comes to addressing theft concerns. Hence, implementing smart door technology equipped with facial recognition holds promising potential for enhancing home security. This study aims to develop a more secure and regulated home entry system by leveraging Internet of Things (IoT) technology and Machine Learning computer Vision for facial recognition. The system integrates IoT devices, such as cameras and automatic doors, wherein facial image data is captured by the camera and processed using the Convolutional Neural Network (CNN) algorithm to identify individuals. Once an individual is recognized, the system grants access to the home through an automated door. By relying on facial features, the system effectively restricts unauthorized access and safeguards homes against theft risks. Therefore, the advancement of a safer and more controlled home entry system utilizing IoT technology and Machine Learning computer Vision holds tremendous benefits for homeowners. © 2023 IEEE.

关键词： Face recognition

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Smart Campus and Education: The study of Individual Performance in E-Learning Environments 11

Smart Campus and Education: The Study of Individual Performa...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Purnama Alamsyah, Doni Morika, Doni Siswanto, Boby Othman, Norfaridatul Akmaliah Binus Business School Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia School of Design Bina Nusantara University Design Interior Study Program Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Study Program Jakarta11480 Indonesia Universiti Teknikal Malaysia Melaka Faculty of Technology Management and Technopreneurship Department of Technology Management Melaka76100 Malaysia

ISBN: (纸本)9798350389654

The Learning Management System (LMS) is a component of the Smart Campus and is implemented with e-learning. E-learning can be effective if it gives satisfaction to the user and improves academic performance. Therefore, it is important to evaluate online learning users to support learning outcomes. The purpose of this study is to examine the relationship model of individual performance with support for user satisfaction and flexibility in an e-learning environment. This study was carried out using a survey to 615 e-learning users. Users are among the universities students in the city of Bandung (Indonesia). Data were collected quantitatively through questionnaires distributed online. Data processing is done with SmartPLS, where there are two model tests, namely the PLS Algorithm and Bootstrapping. Results of this study model test found that user satisfaction can be increased by information quality from e-learning. Online learning has perceived flexibility that is assessed by users and can increase user satisfaction and individual performance. It was found that user satisfaction was able to support the individual performance achievements of students as e-learning users. The results from this study provide valuable insights into the role of user satisfaction as a mediator in controlling individual student performance, highlighting the significance of integrating Smart Campus solutions. © 2024 IEEE.

关键词： Individual Performance Information Quality Perceived Flexibility User Satisfaction

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The Contribution of Assessment Platform Technology to Promote Teacher's Work in Schools 6

The Contribution of Assessment Platform Technology to Promot...

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6th International Conference on Interactive Digital Media, ICIDM 2020

作者： Zamahsari, Gamal Kusuma Putikadyanto, Agus Purnomo Ahmad Maulana, Fairuz Iqbal Bina Nusantara University Faculty of Economics and Communication Communication Science Department Jakarta11480 Indonesia Institute of Islamic Religion Madura Indonesian Language Education Study Program Pamekasan69371 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728149288

This study examines the efficiency of summative assessment in schools utilizing the *** assessment platform. The objectives of this study were (1) to describe staff efficiency on summative assessment using *** in schools, and (2) to describe the time efficiency on summative assessment using *** in schools. This study uses a qualitative design. The location of this research is Junior High School 3 Malang. Data were collected through observation, document study, and interviews. Interviews were conducted with the vice-principal of the curriculum field. Investigation of validity data used triangulation, with additional interviews to the curriculum team and teachers at the school. Summative assessments using the *** platform show the more efficient in terms of staff's work as much as 17% compared to conventional summative assessment and a time efficiency of 44% compared to conventional assessments. The use of technology saves time from the planning, processing, and reporting stages of the assessment. The greatest efficiency is in the summative assessment processing stage because the costs of correcting or scanning student work, changing grades, and analyzing question items are not done manually. The use of technology with the *** platform for summative assessment in schools can be an alternative solution to promote teacher work. © 2020 IEEE.

关键词： Curricula

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