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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Sutedja, Indrajani Handayani, Lutfi Maryuni Hendry Faisal, Mohammad Reza School of Information Sytems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Midwifery Study Program Binawan University Faculty of Nursing and Midwifery Jakarta13630 Indonesia Satya Wacana Christian University Faculty of Information Technology Salatiga50711 Indonesia FMIPA Lambung Mangkurat University Department of Computer Science Banjarmasin70123 Indonesia

ISBN: (纸本)9798350390025

The healthcare industry uses AI, because it is more efficient. In Indonesia, the accuracy of measurements and transmission of children's growth and development is often wrong. Many small hospitals usually don't have length measuring equipment, so the results are inaccurate. This research aims to determine the effectiveness of the stunting prevention program in Indonesia using an information system. The methodology used is a qualitative method, to conduct subjective research and analysis. The results of the research are to improve the website/mobile application information system which can display a child's growth and development history and simple educational information related to nutrition. Digital recording methods can speed up the process of updating data with a central database in real time. The value of this research is to reach the public to utilize technology and obtain personalized and interactive information directly to individuals. The theoretical implications of this research focus on information dissemination and understanding how chatbots influence knowledge acquisition and behavior change in the context of stunting prevention can contribute to advancing these theories in the field of public health. Managerial implications can provide cost effectiveness as Chatbots offer potentially cost-effective solutions and data-driven insights where managers can leverage chatbot analytics. © 2024 IEEE.

关键词： Artificial Intelligent Indonesian information System Stunting stunting stunting chatbot and bibliometric stunting prevention VOS Viewer

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The influence of antecedent factors of is/it utilization towards organizational performance a case study of iain raden fatah palembang

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WSEAS Transactions on computers 2011年第3期10卷 81-92页

作者： Ekawati, Rika Kharlina Hidayanto, Achmad Nizar STMIK MDP Rajawali Road No.14 Palembang 30113 Indonesia Information Technology Magister Study Program Faculty of Computer Science University of Indonesia Salemba Road No.4 Jakarta 10430 Indonesia

Information technology is one thing that is important in supporting the operational success of an organization. In an uncertain environment, information is needed primarily to support the performance of organization in decision-making. Information Systems is an orderly combination of human, hardware, software and communication network of data resources, which collect, modify, and distribute information within an organization to support organizational decision-making and control. But before the IS/IT is implemented, it is worth considering the antecedent factors that may be used as reference to see the history before the IS/IT is implemented, whether antecedent factors of IS/IT implementation has correlation and influence on organizational performance. Antecedent factors consist of six aspects, which are social factors, attitudes, support conditions, system complexity, long-term consequences and habits. This study aims to find empirical evidence that there is correlation and influence between antecedent factors of IS/IT implementation and organizational performance. Using Pearson correlation analysis and Regression analysis for the testing, the results obtained showed that attitude, facilitating conditions and system complexity have correlation with organizational performance. Among these, only attitude and facilitating condition that influence organizational performance.

关键词： Information systems

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A Systematic Review in Educational Settings: Numerous Challenges to the Adoption of Augmented Reality 18

A Systematic Review in Educational Settings: Numerous Challe...

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18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Kusuma Zamahsari, Gamal Nur Amalia, Mufidah Rifah, Lailatul Permana, Frihandhika Romadhon, Sahrul Prihatini, Arti Digital Language Learning Center Bina Nusantara University Faculty of Humanities CommunicationScience Department Jakarta Indonesia Digital Language Learning Center Visual Communication Design Bina Nusantara University Faculty of Humanities Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Institute of Islamic Religion Madura Indonesian Language Education Study Program Pamekasan Indonesia Indonesian Language Education Faculty of Teacher Training and Education University of Muhammadiyah Malang Malang Indonesia

ISBN: (纸本)9798350331011

The integration of augmented reality has shown to be a successful implementation within the fields of education. The resultant positive impact is highly beneficial and introduces a novel dimension to the realm of education. Nevertheless, the advancement of technology and the evolving demands of education present inherent challenges that must be confronted. This study's main goal is to provide a thorough examination of the difficulties faced when implementing augmented reality (AR) technology in educational settings. This study involves an extensive review of literature focusing on the integration of augmented reality (AR) into educational contexts. Nevertheless, the availability of literature source databases remains constrained. Another researcher has asserted that this study aims to address the limitations previously discussed. The objective of this study is to adequately rectify the limitations. The bibliometric review was carried out utilizing analytical techniques offered by Scopus, while the viewing of bibliometric data was performed employing the Vos viewer application. The findings indicate that there exist multiple factors that stakeholders ought to consider while employing augmented reality within educational contexts. The field of augmented reality (AR) encompasses four separate challenges, namely technological complexities, user-related considerations, AR content creation, and the need for curriculum adjustments to meet the learning demands associated with AR integration. © 2024 IEEE.

关键词： Augmented reality

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The Application of AGNES Algorithm to Optimize Knowledge Base for Tourism Chatbot

The Application of AGNES Algorithm to Optimize Knowledge Bas...

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International Conference on Information Management and Technology (ICIMTech)

作者： Albert Verasius Dian Sano Tanto Daud Imanuel Mega Intanadias Calista Hendro Nindito Andreas Raharto Condrobimo Computer Science Study Program Bina Nusantara Institute of Creative Technology Malang Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

Most tourists have limited time and schedule when they are visiting a particular tourism area. One of the main issues faced by those tourists is that they can not make simple queries to search engines about, for example, which sites or places to visit optimally if we only have one day or two-day visit? Search engines are better and better in replying users' queries with relevant answers. However, search engines are not always able to respond queries suited to users' characteristics such as their styles, personalities, knowledge backgrounds, etc. Also, search engines are not as flexible as chatbots in enabling dialogical-communication-queries. This case study aims to respond aformentioned issue by applying hierarchical cluster analysis on a set of tourism sites around Malang city, Malang regency, and Batu city based on AGNES (Agglomerative Nesting) algorithm. The result, then, is fed into chatbot's knowledge base. This chatbot will assist tourists to get information on which possible sites they have to visit optimally if they are under limited vacancy-time constraints.

关键词： Urban areas Knowledge based systems Clustering algorithms Search engines Merging Data mining

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Tag-based regulation of modules in genetic programming improves context-dependent problem solving

arXiv

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arXiv 2020年

作者： Lalejini, Alexander Moreno, Matthew Andres Ofria, Charles BEACON Center for the Study of Evolution in Action Michigan State University Department of Computer Science and Engineering Michigan State University Ecology Evolution and Behavior Program Michigan State University

We introduce and experimentally demonstrate the utility of tag-based genetic regulation, a new genetic programming (GP) technique that allows programs to dynamically adjust which code modules to express. Tags are evolvable labels that provide a flexible mechanism for referencing code modules. Tag-based genetic regulation extends existing tag-based naming schemes to allow programs to "promote" and "repress" code modules in order to alter expression patterns. This extension allows evolution to structure a program as a gene regulatory network where modules are regulated based on instruction executions. We demonstrate the functionality of tag-based regulation on a range of program synthesis problems. We find that tag-based regulation improves problem-solving performance on context-dependent problems;that is, problems where programs must adjust how they respond to current inputs based on prior inputs. Indeed, the system could not evolve solutions to some context-dependent problems until regulation was added. Our implementation of tag-based genetic regulation is not universally beneficial, however. We identify scenarios where the correct response to a particular input never changes, rendering tag-based regulation an unneeded functionality that can sometimes impede adaptive evolution. Tag-based genetic regulation broadens our repertoire of techniques for evolving more dynamic genetic programs and can easily be incorporated into existing tag-enabled GP systems. © 2020, CC BY.

关键词： Genetic programming

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Analysis and Comparative Between Profile Matching and SAW Method in Decision Support

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

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International Conference on Cyber and IT Service Management (CITSM)

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

ISBN: (数字)9781728177014

ISBN: (纸本)9781728177021

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.

关键词： Education Surface acoustic waves Decision support systems Additives Recruitment Decision making Writing

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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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International Seminar on Application for Technology of Information and Communication (ISemantic)

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

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.

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Structural and optical properties of Nd3+ doped Na2O-PbO-ZnO-Li2O-B2O3 glasses system 2nd

Structural and optical properties of Nd3+ doped Na2O-PbO-ZnO...

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2nd International Conference on Applied Physics and Material Applications, ICAPMA 2015

作者： Rajagukguk, Juniastel Hidayat, Rahmat Suprijadi Djamal, Mitra Ruangtaweep, Y. Horprathum, Mati Kaewkhao, Jakrapong Program Study of Physics Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung40132 Indonesia Department of Physics State University of Medan 20221 Indonesia Center of Excellence in Glass Technology and Materials Science Nakhon Pathom Rajabhat University Nakhon Pathom73000 Thailand Optical Thin-Film Laboratory National Electronics and Computer Technology Center Pathumthani12120 Thailand

ISBN: (纸本)9783038356837

The present paper reports the structural (XRD and FTIR spectra), physical (like density, molar volume, refractive index etc.), optical absorption and emission properties of Nd3+doped sodium lead zinc lithium borate glass. The glasses with chemical formula (65-x)B2O3-15Na2O-10PbO-5ZnO-5Li2O-xNd2O3 (where x = 0, 0.05, 0.1, 0.5, 1.0, 2.0 and 4.0) have been prepared using the melt-quenching method. XRD characterization shows that the glasses are amorphous nature. The values of measured absorption transitions obtained ten transitions and the hypersensitive transition at 4I9/2 → 2G7/2+4G5/2. To excite photon from ground state to upper state, used two different wavelength spectra at 582 and 804 nm. The maximum emission intensity of the 4F3/2 → 4I11/2 transition obtained when Nd3+ ion content in the borate glass is 1.0 mol %. It is indicating that Nd3+ doped borate glass have self-quenching or concentration quenching. © 2016 Trans Tech Publications, Switzerland.

关键词： Zinc oxide

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Mapping and Visualization of Artificial Intelligence for Digital Economy Research: A Bibliometric Approach

Mapping and Visualization of Artificial Intelligence for Dig...

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International Conference of computer science and Information Technology

作者： Fairuz Iqbal Maulana Agung Purnomo Andi Pramono Mohammad Nazir Arifin Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia

ISBN: (纸本)9798350399080

Artificial Intelligence (AI) seems to be a disruptive technology that defines and reshapes the economy, more efficient industrial processes, new business models, and the service sector, becoming the development of different practices than before. The literature shows that it will be included in all fields and people's lives, as is the case in the digital economy. Artificial Intelligence for Digital Economy has not been studied significantly. This study uses bibliometric analysis to graphically map scientific publications and research trends in the Artificial Intelligence for Digital Economy sector around the world in the last ten years. The Scopus database was used to collect metadata information for this study, and VOSViewer was used to demonstrate bibliometric network mapping. We use an article selection procedure starting with the searched keywords and year constraints and then exporting the database to a RIS file format. Over the last ten years, we retrieved 540 scientific publications published between 2012 and 2021 from the Scopus database. From the data obtained, researchers at the Russian Federation have the most published papers indexed by Scopus among the most productive countries (N=131), the most productive authors are Petrenko, S.A. (N=4), and the most subject area is computer science (N=246). We also use VOSViewer to map the Network Theme. This study recommends incorporating research subjects Artificial Intelligence for Digital Economy: Thing, Education, Platform, Global Economy, abbreviated as TEPGE research theme.

关键词： computer science Databases Bibliometrics Taxonomy Education Metadata Market research

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Development and Validation of Customer Intention Factors for Live-Stream Shopping 7

Development and Validation of Customer Intention Factors for...

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7th International Conference on New Media Studies, CONMEDIA 2023

作者： Fernando, Erick Hidayat, Desman Pengaribuan, Christian Haposan Prabowo, Yulius Denny Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia Bina Nusantara University Binus Entrepreneurship Center Management Department Jakarta11480 Indonesia Sampoerna University Management Study Program Faculty of Business Jakarta12780 Indonesia Bina Nusantara University Binus Online Learning Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350307504

Along with technological improvements, online shopping is currently developing quickly. Online shops started by selling electronics, clothing, food, and home appliances and continue to evolve, selling various things. Currently, digital marketing has a novel technique, namely live shopping, where sellers can present, promote and offer their products directly through live streaming on social media and e-commerce platforms. This research will focus on gaining insight into the factors influencing customers to watch and purchase through live streaming. This research is an early-stage study of exploring and searching for research models. The study used a literature review approach by reviewing similar previous research articles. Several variable components were used in this study. The findings of the factors include visibility capacity, meta-vocation capacity, purchase orientation capacity, social presence, price, perceived product quality, perceived enjoyment, purchase orientation, perceived usefulness, and intention to buy. These factors were tested and proved to be valid with Cronbach's Alpha value being more than 0.5 and reliable with the value of the loading factor a greater than 0.6. Criteria The factors of the findings for further analysis of the relationship between factors and other variables. © 2023 IEEE.

关键词： Domestic appliances

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