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Bibliometric Analysis of Image Segmentation with Deep Learning: An Analytical study 1

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International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023

作者： Windarto, Agus Perdana Yuhandri, Y. Bukhori, Saiful Information Technology Study Program Universitas Putra Indonesia YPTK Padang Indonesia STIKOM Tunas Bangsa Pematangsiantar Indonesia Universitas Putra Indonesia YPTK Padang Indonesia Computer Science Department University of Jember Jember Indonesia

ISBN: (数字)9789819984985

ISBN: (纸本)9789819984978

This study presents a comprehensive bibliometric analysis of research pertaining to the utilization of deep learning techniques for image segmentation using CNN algorithms. A dataset comprising 1078 publications from journals and conference proceedings between 2018 and 2022 was examined through keyword search, co-occurrence network analysis, and keyphrase analysis. The study offers valuable insights into the present research landscape and identifies prominent areas of investigation, encompassing deep learning's application in medical imaging, disease detection, and object detection. Our analysis reveals China as a leading contributor to deep learning research for image segmentation, with 279 publications and 4,380 citations in Scopus. Advances in Biomedical Optics and Imaging—Proceedings of SPIE are pinpointed as the most productive source for deep learning research in image segmentation, with a specific emphasis on biomedical optics and imaging. The co-occurrence network analysis highlights the red cluster primarily focusing on methods and algorithms associated with deep learning in image segmentation. In contrast, the blue cluster demonstrates the application of these methods and algorithms to other objects or methods, with the "human" node standing out in terms of frequency and centrality. Our keyphrase analysis reveals the growing trend of Cellular Artificial Neural Networks over the past five years, indicating a shift in research focus toward this domain. Overall, this study's findings demonstrate the potential of deep learning to deliver precise and efficient segmentation of medical images, thereby enhancing clinical outcomes and patient care. Furthermore, our study contributes to an enhanced understanding of the current research landscape and identifies avenues for future exploration in deep learning techniques for image segmentation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Image segmentation

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The Analysis of Online Order Mobile Application Using User Experience Questionnaire (A Case study Approach) 7

The Analysis of Online Order Mobile Application Using User E...

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7th International Conference on information Management and technology, ICIMTech 2022

作者： Hartono, Sugiarto Shahudin, Faizah Widagdo, Hermawan Honggo Hendrawan, Tommy School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia School of Economics and Management Xiamen University Malaysia Selangor Malaysia Faculty of Science & Technology Information System Study Program Universitas Nasional Karangturi Semarang50227 Indonesia PT. Elgibor Solusi Digital Semarang50167 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

ABC Application is owned by ABC Company which already has branches of more than 100 stores in 7 countries where Indonesia is one of the branches with 79 stores spread across several cities, especially Jabodetabek area. ABC has launched an application that has been operating for more than a year;because the ABC application is new to the food and beverage sector, the application has received several positive and negative responses from its users especially on its user experience. Based on this background, this research will more focus on user experience of ABC Application. ABC Application can find out the assessment of user experience and improve the results of any negative responses in the form of criticism or suggestions from users. The method used in this research is the User Experience Questionnaire (UEQ). From the research results that have been carried out, the novelty scale is the scale with the lowest attachment of all respondents. Therefore, improving and developing the ABC application through this scale is necessary. © 2022 IEEE.

关键词： Surveys

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Numerical Simulation of Spear Motion as Game Items

Numerical Simulation of Spear Motion as Game Items

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International Symposium on Nanoscience and Nanotechnology in Life Sciences 2017, ISNNLS 2017

作者： Muhima, R.R. Mardi, S. Hariadi, M. Puspitasari, I. Informatics Engineering Department ITATS Arief Rachman Hakim 100 Surabaya Indonesia Electrical Engineering Department Sepuluh Nopember Institute of Technology Indonesia Information System Study Program Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia

Game development in 3D is mostly done by characters, items and the environment. Game items such as character weapons modeled in 3D will be the attraction of a game. In this paper, spear motion as a game items is modeled in 3D. Nonlinear Equations Six Degrees of Freedom (6 DOF) are used for mathematical models of spear motion. The parameters studied in the motion model are: geometry, mass and aerodynamics. Spear aerodynamic parameters were analyzed using the Datcom method. Numerical simulation of mathematical models of spear motion with variations in the initial velocity of the throw and the direction of the throw. From the results of numerical simulation, the maximum range R = 131.7 m at the initial velocity V0 = 40 m/s, the direction of throw (angle θ0 = 35 deg, angle φ0 = 10 deg, ψ0 = 0 deg). And the maximum height Hmax = 12.18 m is achieved at the initial velocity V0 = 20 m/s, direction of throw (angle θ0 = 35 deg, angle φ0 = 40 deg, angle ψ0 = 0 deg). © 2020 Published under licence by IOP Publishing Ltd.

关键词： Aerodynamics

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Effect Implementation of information technology Software on Improving Performance Capacity Academic and Non Academic Service Sunan Ampel Islamic University of Surabaya 2

Effect Implementation of Information Technology Software on ...

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2nd Bukittinggi International Conference on Education, BICED 2020

作者： Ilham Eliyana, Anis Rizki Sridadi, Ahmad Usman, Indrianawati Purnomo, Agung Information Systems Study Program Department of Technology Faculty of Science and Technology Sunan Ampel Islamic University of Surabaya Indonesia Department of Management Faculty of Economics and Business Airlangga University Indonesia Bina Nusantara Institute of Creative Technology Malang Ahmad Yani 117 Street Surabaya East Java Indonesia

This research was conducted to examine the effect of applying information technology software to increase the capacity of academic and non-academic performance at the Sunan Ampel State Islamic University in Surabaya as a work support tool. The aim is to apply a software that is able to identify the needs of increasing performance capacity at Sunan Ampel State Islamic University in Surabaya, both academic and non-academic, so that systematic control and evaluation of all academic and non-academic operations can be carried out. The research respondents were 60 students and employees from the Faculty of Science and technology of the Sunan Ampel State Islamic University in Surabaya. This research uses a quantitative approach with the analysis technique used is path analysis with SmartPLS software-based data processing and the overall results support the hypothesis. Based on the results of the study stated that information technology has a positive and significant effect on performance, information technology has a positive and significant effect on academic services, information technology has a positive and significant effect on non-academic services, but performance has no effect on academic and non-academic services. The conclusion of the research is the influence of the application of information technology software can improve academic and non-academic performance and services at the Sunan Ampel State Islamic University of Surabaya © Published under licence by IOP Publishing Ltd.

关键词： Regression analysis

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Aircraft Flight Schedule Announcement at Pionir Indonesian Airport Based on SMS Broadcast

Aircraft Flight Schedule Announcement at Pionir Indonesian A...

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Aerospace Electrical Engineering and Informatics (ICAAEEI), International Conference of Adisutjipto on

作者： Anggraini Kusumaningrum Septian Wahyu Ahmad Sahal Asih Pujiastuti Astika Ayuningtyas Elizabeth Anna Pratiwi Informatics Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia Informatic Engineering Department Adisutjipto College of Technology Yogyakarta Indonesia D3 Information Technology Study Program Faculty of Science and Technology Respati University Yogyakarta Indonesia Aerospace Engineering Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia

ISBN: (数字)9798331507930

ISBN: (纸本)9798331507947

The design and construction of delivering announcements using a web-based SMS gateway aims to help overcome problems that often occur at pioneer airports; this is because when passengers want to travel, many passengers still arrive late to check-in, even though the passenger ticket has a notification for checking. -in 1 hour before Departure. If a flight's Departure is delayed or accelerated, passengers will only receive this information when they arrive at the airport, whereas if at the time the departure notification is delayed or accelerated, the passenger is still outside the airport or still on their way to the airport, as a result, they will definitely not receive the information. Testing voice announcements on parking, arrival, departure, delay, check-in, and waiting room services, as well as testing SMS broadcasts (30 user numbers and one airline), shows that the announcement application provides information through voice data recording and broadcasts SMS to passengers and families. Testing was carried out at Indonesian Pioner airport for 30 passengers for a week. The percentage of Ease of obtaining test voice information was 81.98%, and the percentage of Ease of obtaining broadcast SMS information was 83.1%. Implementing the announcement is feasible at pioneer airports with a percentage of 82.54%.

关键词： Electrical engineering Schedules Logic gates Airports Recording Delays Informatics Aircraft Testing Airline industry

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Risk Management of Bank and FinTech Collaboration: A Phenomenological Research

Risk Management of Bank and FinTech Collaboration: A Phenome...

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International Conference of Computer and Informatics Engineering (IC2IE)

作者： Mercurius Broto Legowo Fangky Antoneus Sorongan Steph Subanidja Study Program of Information System Faculty of Information Technology Institute of Perbanas Jakarta Indonesia Study Program of Accounting Faculty of Economic and Business Institute of Perbanas Jakarta Indonesia Program of Master of Management Post Graduate School Institute of Perbanas Jakarta Indonesia

Banking and Fintech are encouraged to collaborate to fill each other's deficiencies and further grow the digital economy. This collaboration will create benefits for both banks, Fintech, and customers. However, this collaboration also comes with risks. The Financial Services Authority has stated that several risk phenomena can occur in the collaboration of banks and Fintech. First, no law guarantees the protection and exchange of customer personal data. Second, the risk of customer data leakage. Third, the risk of cyberattacks. The fourth is the risk of outsourcing. This research aims to analyze the risk phenomenon of bank and fintech collaboration through the Enterprise Risk Management Framework approach. This study uses a phenomenological research approach, which is a study to study how individuals subjectively experience and give meaning to the phenomenon. Data analysis based on this phenomenon data uses qualitative methods involving banking and fintech practitioners. The results of this study describe the phenomenon of risks that occur in banking-fintech collaboration, as approached by the Enterprise Risk Management framework. Proper risk management will minimize risks when the Bank collaborates with FinTech. This study hopefully contributes to making brief policy recommendations on bank and fintech collaboration risk management for Indonesian financial regulators.

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Analysis Implementation of Chatbots to Increase Knowledge of Stunting Prevention in Indonesian Society with Bibliometric 9

Analysis Implementation of Chatbots to Increase Knowledge of...

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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 potential use of chitosan deduced from the results of in silico analysis 2

The potential use of chitosan deduced from the results of in...

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2nd International Conference on Agriculture and Bioindustry, ICAGRI 2020

作者： Tallei, T.E. Maulana, R.R. Windah, A.L.L. Wahongan, I.F. Tumilaar, S.G. Fatimawali Kumaunang, M. Sambul, A.M. Adam, A.A. Idroes, R. Department of Biology Faculty of Mathematics and Natural Sciences Sam Ratulangi University Manado Indonesia Pharmacy Study Program Faculty of Mathematics and Natural Sciences Sam Ratulangi University Manado Indonesia Department of Chemistry Faculty of Mathematics and Natural Sciences Sam Ratulangi University Manado Indonesia Information Technology Study Program Faculty of Engineerng Sam Ratulangi University Indonesia Dentistry Study Program Faculty of Medicine Sam Ratulangi University Manado Indonesia Department of Pharmacy Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Banda Aceh Indonesia

One type of coronavirus, SARS-CoV-2, is currently the most feared virus globally because it causes pulmonary infectious diseases that can cause a risk of death. Researchers have tried together by conducting massive research and finding an antidote, especially those sourced from natural ingredients. Chitosan is a natural ingredient isolated from crustaceans. This compound has long been studied and proven to have the ability to inactivate various types of viruses. Therefore, in this study, chitosan's ability to inhibit several proteins and enzymes from SARS-CoV-2 was evaluated in silico. The evaluation results suggested that chitosan has in silico excellent activity in preventing the entry of SARS-CoV-2 into the cells and inhitibing its replication. © Published under licence by IOP Publishing Ltd.

关键词： Coronavirus

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Model of Sustainable Development Based on FinTech in Financial and Banking Industry: A Mixed-Method Research

Model of Sustainable Development Based on FinTech in Financi...

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International Conference of Computer and Informatics Engineering (IC2IE)

作者： Mercurius Broto Legowo Steph Subanidja Fanky Antoneus Sorongan Information System Study Program Information Technology Faculty Institute of Perbanas Jakarta Indonesia Master of Management Program Post Graduate School Institute of Perbanas Jakarta Indonesia Accounting Study Program Economic and Business Faculty Institute of Perbanas Jakarta Indonesia

ISBN: (数字)9781728182476

ISBN: (纸本)9781728182483

In the past decade, it stated that the discourse on Sustainable Development and the Financial technology(FinTech) role in the financial and banking industries, has attention on researchers, practitioners, regulators, and policymakers. The real problem arises from the discourse on whether FinTech has an effect on sustainable development in the financial and banking industry in Indonesia. This discourse needed to be understood better and more deeply. For credible research results, it is necessary to use a mixedmethod research approach. This research aims to develop a model that will help uncover the phenomenon of FinTech to sustainable development in the Financial and Banking Industry in Indonesia, using mixed methods research. In this study, Exploratory Sequential Mixed Method used as a type of mixedmethod approach. The main results of this study reveal that FinTech, which is influenced by business drivers, has a significant role in sustainable development in the Financial and Banking Industry in Indonesia. The contribution of this research can provide insight and understanding for researchers and practitioners in the financial and banking industry who want to implement a sustainable development model based on FinTech in more depth.

关键词： Sustainable development Industries Banking Technological innovation Data collection Financial services Economics

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Ontology-based knowledge representation of failure mode and effect analysis on Electric/Electronic Architecture modeling conforming to the ISO 26262

Ontology-based knowledge representation of failure mode and ...

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International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)

作者： Arthur Silitonga Martin Hillenbrand Study Program of Electrical Engineering President University Indonesia Institute for Information Processing Technology (ITIV) Karlsruhe Institute of Technology Germany

In this paper, we propose knowledge representation of Failure Mode and Effect Analysis (FMEA) on Electric/Electronic Architecture (EEA) tailored to ISO 26262. FMEA, EEA, and ISO 26262 are composed of abstract and concrete data. Description and representation of abstract and meta models are complex. Indeed, to simplify and feasibly represent the data for software/hardware development of the EEA, we approach the knowledge representation of the FMEA for the concrete and abstract models of EEA using ontology. With the ontology, FMEA, EEA, ISO 26262, and combination of the three aspects can be presented using concrete models, and are able to be defined in the form of class models. These class models will be occupied for the development of the software aspect of FMEA for EEA accommodating the ISO 26262. Hence, this type of representation is considered to an adequate model to represent the abstract, concrete and meta models of FMEA for EEA conforming to ISO 26262.

关键词： ISO standards Ontologies Organizations Object oriented modeling Software Computer architecture Hardware

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