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Conference on New Media Studies (CoNMedia)

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

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.

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Light intensity design as a fishing tool on liftnet, with pulse width modulation system based on microcontroller 2

Light intensity design as a fishing tool on liftnet, with pu...

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2nd International Conference on Computer, science, engineering, and Technology, ICComSET 2019

作者： Sumardi Wisudo, Sugeng Hari Mawardi, Wazir Baskoro, Mulyono S. Stud. of Marine Fisheries Technology Study Program IPB Postgraduate School Indonesia Electrical Engineering Study Programs Faculty of Engineering Tangerang Muhammadiah University Tangerang Banten Indonesia Department of Fisheries Resources Utilization Faculty of Fisheries and Marine Science IPB University Dramaga Campus Bogor West Java16680 Indonesia

Fishing can be done in various ways, including by utilizing lights as fishing tools. The lights used for fishing tools are varied, ranging from torch lights, pressure paraffin lamp, fluorescent lamps (TL, PL, SL, CFL), mercury, and various types of led. However, light transition between one colors to another often scares the fish, driving them out of catchable area shocked by the color change. One solution to address this problem is by smoothly switching the color of the lamp using Pulse Width Modulation (PWM) system on the microcontroller. The color used are the lamp with basic colors of red, green and blue. With power capacity of 50Watt/12Volt, this lamp is classified as High Power Led (HPL) lamp. The light can be free-adjusted, where each lamp can be turned on by its own light or can also be turned on in combination. It can slowly be switch on from an off position to maximum and also can be dimmed from maximum to off. Thus the intensity of the light can be controlled. The HPL and control sections were created separately. Tools and materials used are consist of push-button, microcontroller, optocoupler, mosfet and Red, Green and Blue HPL, Radio-meter (ILT5000 Research Radiometer), Voltmeter, and Amperemeter. The method used was experimental in both laboratory and field. The result of research is in the form of RGB HPL lamp which can be adjusted through control system, such as adjusment for each lamp, or light combination with smooth color transition. Thus, when this technology is applied as fishing tool in liftnet fishing, the targeted fish would still remain on catchable area. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Color

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The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis

The Scientific Progress and Prospects of Artificial Intellig...

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International Seminar on Intelligent Technology and Its Applications (ISITIA)

作者： Fairuz Iqbal Maulana Puput Dani Prasetyo Adi Dian Lestari Sandy Vikki Ariyanto Agung Purnomo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Telecommunication Research Center National Research and Innovation Agency Jakarta Indonesia Faculty of Medicine Universitas Airlangga Surabaya Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years.

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Social Media Analysis using Sentiment Analysis on COVID-19 from Twitter

Social Media Analysis using Sentiment Analysis on COVID-19 f...

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International Conference on Information Technology, Information Systems and electrical engineering (ICITISEE)

作者： Fairuz Iqbal Maulana Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

The development of the internet is getting faster, participating in encouraging the emergence of new and innovative information. In filtering the various information that appears, we need a recommended system to perform well for users in today's internet era. A well-performing recommendation system in question is a reliable recommendation algorithm. This algorithm is fundamental to analyzing various information, such as responses on social media based on user behavior data related to the topic of COVID. This data is crawled from tweets on social media Twitter. The data analysis algorithm obtained uses Python, which is then visualized in the form of a diagram. The processed data is user comments on Twitter, and the text data is analyzed using Python, using more than 60000 data sets taken to form visualizations and conclusions. From sentiment analysis, polarity and subjectivity data are obtained to be analyzed, which are negative, neutral, or positive. The result is show positive tweets with 29.2%, negative tweets is 13%, and 57.8% neutral tweets. Lastly, sentiment analysis can help people effectively infer vast and complex data from social media like Twitter.

关键词： COVID-19 Sentiment analysis Analytical models Data analysis Social networking (online) Blogs Data visualization

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Using LiDAR sensors for detection flood and landslide in West Nusa Tenggara

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AIP Conference Proceedings 2024年第1期3026卷

作者： Made Sutha Yadnya I. Wayan Sudiarta I. G. P. Wedashwara Wedarama Electrical Enginnering Enginnering Fakulty University of Mataram Mataram 80125 Indonesia Informatics Engineering Faculty of Engineering University of Mataram Mataram Indonesia Physic Study Program Faculty of Mathematics and Natural Science University of Mataram Mataram 80125 Indonesia

In this pre-research, this is an initial study using LiDAR to detect weather conditions in real time. In 5G communication, the opportunity to use an integrated IoT connection is given because the path is used, one of which is millimeter wave. This is applied to disaster conditions, namely flood and landslide detection. Data obtained briefly within one month in data processing needs to be added so that the real sensor power is obtained in the outdoor position because the sensor is used as needed. LiDAR has problems when used in rainy conditions which form polarization scattering or light scattering is formed by moving raindrops, especially when the rain is getting heavier. The position of LiDAR in this study is able to detect sunny conditions with an available level of 97.99% and rain outage is still 0.3%, this in heavy rainy conditions needs further research.

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Dispersion of Surface Floating Plastic Marine Debris from Indonesian Waters Using Hydrodynamic and Trajectory Models

SSRN

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SSRN 2023年

作者： Kisnarti, Engki A. Ningsih, Nining Sari Putri, Mutiara R. Hendiarti, Nani Mayer, Bernhard Study Program of Oceanography Faculty of Engineering and Marine Science University of Hang Tuah Indonesia Research Group of Oceanography Institute Technology of Bandung Indonesia Deputy for Coordination of Environment and Forestry Management Coordinating Ministry for Maritime and Investment Affairs Indonesia Institute of Oceanography University of Hamburg Hamburg Germany

Plastic waste has become the most significant component of marine debris, while research on traces of marine plastic waste related to the condition of Indonesian waters is still limited. Therefore, this study examines the movement patterns of plastic marine debris in Indonesian waters. Simulations were carried out for one year (2013) using the HAMSOM hydrodynamic and Lagrange trajectory. The approach treated the simulated particles as conservative particles floating at sea. Even though the percentage is small (±16%), Indonesia contributes to transboundary marine debris in the Pacific Ocean, Indian Ocean, and the South China Sea due to the influence of the south equatorial currents moving from north and south of Indonesia. Most of the plastic marine debris remains in Indonesian waters (±80-84%) and moves back and forth due to the influence of the monsoon currents. Therefore, the Java Sea becomes a crossing point and accumulates plastic marine debris. © 2023, The Authors. All rights reserved.

关键词： Hydrodynamics

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Nutritional, chemical, and prospect of "mandai," traditional fermented food of Kalimantan

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Journal of Ethnic Foods 2025年第1期12卷 1-9页

作者： Yudistira, Sukma Amaliah, Nur Gozali, Gozali Purwaningrum, Hesti Gusriza, Fondina Sari, Rini Eka Kuntari, Erlina Daru Wibowo, Singgih Tri Yelfiarita, Yelfiarita Malik, Shintami Rouwelvia Wigati, Dyan Sulistiadi, Slamet Department of Tourism Universitas Negeri Padang West Sumatera Padang 25131 Indonesia Faculty of Food Science Mulawarman University East Kalimantan Samarinda 75123 Indonesia Department of Tourism Balikpapan State Polytechnic East Kalimantan Balikpapan 76126 Indonesia Sekolah Tinggi Pariwisata Ambarrukmo STIPRAM Bantul Yogyakarta 55198 Indonesia Department of Tourism Universitas Pembangunan Nasional Veteran Jawa Timur East Java Surabaya 60294 Indonesia Tour and Travel Business Department of Business Administration Politeknik Negeri Padang 25142 West Sumatera Padang Indonesia Universitas Mahakarya Asia Sleman Yogyakarta 55285 Indonesia Department of Travel Politeknik Pariwisata NHI Bandung East Java Bandung 40141 Indonesia Department of Agricultural Business Politeknik Pertanian Negeri Payakumbuh West Sumatera Limapuluh Kota 26271 Indonesia Program Studi Agribisnis Fakultas Pertanian Universitas Tadulako Central Sulawesi Kota Palu 94148 Indonesia Bachelor of Pharmacy Study Program Faculty of Health Sciences Universitas Dr Soebandi East Java Jember 68111 Indonesia Agriculture and Biosystem Engineering Faculty of Science and Technology Universitas Nahdlatul Ulama Purwokerto Central Java Banyumas 53145 Indonesia

Mandai, a traditional fermented delicacy, is produced from the inner peel of the cempedak fruit (Artocarpus champeden). This unique food is a culinary heritage of the Banjar ethnic group residing in Kalimantan, and is part of Indonesia’s rich collection of traditional fermented foods. This study aimed to analyze mandai by examining its fermentation processes and chemical and nutritional composition. It also discusses the potential and prospects of mandai development in the future. Through a narrative literature review, this study synthesized insights into mandai, emphasizing its significance as a functional food with rich antioxidant and probiotic properties. This review also shows that processing mandai through starter-induced fermentation can improve its quality and standards. This study serves as an important foundation for future mandai research by emphasizing the functional benefits and processing methods of mandai. © The Author(s) 2025.

关键词： Mandai Mandai chemical Mandai nutrition Potentials mandai Prospect mandai Traditional fermented food

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment

Analyzing the Behavioral Aspects of Implementing Green IT in...

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International Conference on Information Management and Technology (ICIMTech)

作者： Dedy Syamsuar Fero Triando Maria Ulfa Darius Antoni Adele Mailangkay Deden Witarsyah Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Postgradute Department Universitas Bina Darma Palembang Indonesia Information System Study Program Computer Science Faculty Universitas Bina Darma Palembang Indonesia Faculty of Computer Science Universitas Indo Global Mandiri Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy.

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Towards a Prosodic Model for Synthesized Speech of Mathematical Expressions in MathML 9

Towards a Prosodic Model for Synthesized Speech of Mathemati...

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9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2020

作者： Souza, Adriana Freitas, Diamantino Bahia Federal Institute of Education Science and Technology Porto Seguro Brazil Doctoral Program in Digital Media Faculty of Engineering University of Porto Porto Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of PortoPorto Portugal

ISBN: (纸本)9781450389372

The use of the MathML language made possible to improve the accessibility of mathematics for blind or low-vision persons in digital media. Synthetic speech technologies have advanced significantly using MathML, however, the speech synthesizers' standard reading style is still not suitable for mathematics. Making mathematical reading of the speech synthesizers more natural and expressive is still a challenge. The creation of models to produce the appropriate prosody in the synthesized speech of math content is therefore necessary, as shown in previous research. This article presents a proposal for a model to improve prosody in the synthesized speech of mathematical expressions based on MathML. A corpus of mathematical expressions spoken by Mathematics teachers was created to support the model's development. The Fujisaki intonation model was adopted for intonation control, accent and phrase commands have been extracted from the corpus, and some adjustments have been made to manipulate prosodic parameters in the speech of mathematical expression in correlation with the MathML tree;additionally, a pattern of pauses control is being created. © 2020 ACM.

关键词： Digital storage

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study identification of landscape elements in the Bandung Ganesha garden environment

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AIP Conference Proceedings 2023年第1期2691卷

作者： Tita Cardiah Andiyan Syahban Rangkuti Eliyana Firmansyah Interior Design School of Creative Industries Telkom University Bandung West Java Indonesia 40257 Architecture Study Program Faculty of Science and Engineering Universitas Faletehan Bandung Jawa Barat Indonesia 40266 Electrical Engineering Study Program Faculty of Science and Engineering Universitas Faletehan Bandung Jawa Barat Indonesia 40266

The development of parks in the city of Bandung, especially the northern part, has related to the history of the town of Bandung during the Dutch colonial period. Ijzermanpark (1919) is a park with the best landscape design, with a neat and colorful flower garden design equipped with a fountain garden feature. It changed its name to Ganesha Park after Indonesian independence day. Ganesha Park has continued as a public park that is used for family recreation. The landscape elements in Ganesha Park are also equipped to support this park. This study aims to determine how completely it was developed and how it influenced its function as a public park. The research method using the descriptive qualitative method by identifying and analyzing the phenomena described in the details. From this research, it was found that some elements of the Ganesha Park landscape were preserved, some had been replaced, and some were completely new. These elements become a unitary landscape which is expected to increase the comfort of activities in Ganesha Park.

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