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Latent Regression and Ordination Risk of Infectious Disease and Climate

Procedia computer science 2021年 179卷 25-32页

作者： Rezzy Eko Caraka Rung Ching Chen Youngjo Lee Prana Ugiana Gio Arif Budiarto Bens Pardamean College of Informatics Chaoyang University of Technology 168 Jifong East Road Wufong Dist. Taichung City 41349 Taiwan (R.O.C.). Department of Statistics College of Natural Science Seoul National University Gwanak-gu Seoul 08826 Korea Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Mathematics Universitas Sumatera Utara Medan 20222 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Indonesia.

Global warming arising from climate change can increase the spread of deadly diseases. Effort is needed to develop a set of policies for the government to stem or reduce health risks from global warming. The purpose of this paper is to examine more detail and comprehensively about the relationship among climate and event disease count in Taiwan using the partial least square latent regression model. The results obtained that of the 17 types of diseases in Taiwan, that has the most significant loading factor is Amoebiasis, Malaria and Chikungunya. At the same time, climate variables that have the biggest most significant factor are Number day with max temp more than 30, Number day Temp more than 25, and Rainfall PH. Cronbach’s Alpha infectious disease 0.9696 and climate 0.2813. At the same time, the value of Dillon Goldstein’s rho infectious disease 0.974 and climate 0.6404, respectively.

关键词： Disease Counts Climate Latent PLS Regression

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Improving Conversion Rates for Fashion e-Commerce with A/B Testing

Improving Conversion Rates for Fashion e-Commerce with A/B T...

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International Conference on Information Management and Technology (ICIMTech)

作者： Reza Rahutomo Yulius Lie Anzaludin Samsinga Perbangsa Bens Pardamean School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Shopping centers are transformed from physical stores to e-commerce with more varied product and service offerings. Since fashion is the most favorite item category in Indonesia, there are lots of fashion e-commerce grown in the country. One of the unsatisfactory conditions that are occurred in fashion e-commerce in Indonesia is user drop off. By using funnel analysis, the product detail page of fashion e-commerce founded as the page with the most user drop off. To tackle this problem, several experiments were prepared. With A/B testing, the experiments that possibly improved the conversion rate were identified. This research discovered experimental version of the User Interface (UI) of the product detail page by manipulating button colors, layout, and delivering comprehensible information to users.

关键词： Testing Electronic mail Customer relationship management Information systems Image color analysis Google

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Jakarta Government Official Portal Acceptance Based On Technology Acceptance Model

Jakarta Government Official Portal Acceptance Based On Techn...

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International Conference on Information Technology Systems and Innovation (ICITSI)

作者： Cahyono Budy Santoso Wayan Suparta Edi Abdurachman Agung Trisetyarso BINUS Graduate Program-Doctor of Computer Science Bina Nusantara Unversity Jakarta Indonesia

ISBN: (数字)9781728181967

ISBN: (纸本)9781728181974

The continuity of the quality of the official portal of DKI Jakarta province in terms of information, relevance and population must be maintained, evaluated and can be developed so that the public can get significant benefits. The purpose of this study was to determine the level of public acceptance of the portal site using the Technology Acceptance Model (TAM) approach. The methodology of this research is to make a survey of the public as users of the portal site, with the objectives based on perceived ease of use, perceived usefulness, behavioral intention to use, attitude toward using technology and actual system use of the portal site. This research is a quantitative research based on data through a questionnaire with a likert scale conducted for users of the Jakarta portal. This study uses a Structural Equation Modeling (SEM) analysis method based on the Partial Least Square (PLS) variant..There are 6 hypotheses proposed in this study, from the test results found 4 acceptable hypotheses. The hypothesis shows that the actual system usage factor is influenced by the Behavioral Intention to use factor of 48.9%. While the Behavioral Intention to use factor is influenced by the Perceived Usefulness factor of 43.9%.

关键词： Portals Government Load modeling Technology acceptance model Information technology computer science Biological system modeling

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GIS-Based MCDM for Central Business Suitability in a Small City

GIS-Based MCDM for Central Business Suitability in a Small C...

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International Conference on Informatics and Computing (ICIC)

作者： Herlawati Herlawati Edi Abdurachman Yaya Heryadi Haryono Soeparno BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728180472

ISBN: (纸本)9781728180489

Extended urbanization phenomenon in smaller-sized cities in Java should be considered by the government. However, the local governments can only use the plans from the central government. The negative effects of this, among others, are improper land use allocation, lack of facilities, and crimes that are difficult to handle. This study proposes a geographic information system (GIS)-based method to analyze the proper central business district in Karawang, a small district in Java, Indonesia. Multi-criteria analysis of factors affecting the candidate locations was used through a weighted sum method in a model. The spatial data were retrieved and analyzed using a GIS tool to classify region into urban, peri-urban, and rural. Some central business locations have been found after reclassification which is located near the toll gates. Two locations in the north of Karawang were classified have the potential to become the new central business locations.

关键词： Java Urban areas Tools Spatial databases Sustainable development Business Geographic information systems

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Social Network Analysis Algorithms, Techniques and Methods

Social Network Analysis Algorithms, Techniques and Methods

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Lidia Sandra Agung Trisetyarso Arief Ramadhan Edi Abdurachnan Ford Lumbangaol Sani Muhamad Isa Psychology Department Krida Wacana Christian University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Trisakti Institute of Trasportation and Logistic Trisakti University Jakarta Indonesia

ISBN: (纸本)9781665499705

Understanding how social structures with the use of a network have been an active field of study for academics in the past five years alone. The need to properly comprehends how Social Network Analysis (SNA) is being studied grows more and more in recent years. In this article, we propose a Systematic Literature Review (SLR) to the SNA to see how the algorithms, techniques, and methods are used also discuss their findings. We select thirty-one research studies on SNA. We found different algorithms and techniques that are being used. It is found that the selected research could be categorized into five different main topics which is academic, health, social media, communication, and technology. From all of the research paper discussed, it is also found that many algorithms and techniques are being used to enhanced the SNA, most of them are being machine learning algorithm such as Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, Logistic Regression, K Nearest Neighbor, and Whale Optimization Algorithm. While the common features of the datasets used in the research comes as different arrays of user information from social media platforms, Tweets and posts from multiple platforms, also a photographic input such as self-images, portraits, and context related pictures. This article will serve as a single reference for future researchers to the discovery of the latest SNA findings.

关键词： Support vector machines Machine learning algorithms Systematics Mechatronics Social networking (online) Bibliographies Regression tree analysis

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Implementation of online learning during the COVID-19 pandemic in primary schools

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AIP Conference Proceedings 2023年第1期2594卷

作者： A. Anugrahana E. Liswantiani D. Sudigyo T. Suparyanto B. Pardamean Elementary School Teacher Education Study Program (PGSD) Faculty of Teacher Training and Education Sanata Dharma University Yogyakarta Indonesia 55281 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

The COVID-19 pandemic requires face-to-face learning to shift to online or distance learning. Therefore, the elementary school, which is the most basic level of education affected by this phenomenon, where this research is carried out. This study aimed to analyze the process of implementing online learning, the supporting and inhibiting factors for teachers, students, and parents in implementing online learning during the COVID-19 pandemic. In addition, good practices for online learning were also analyzed in this study to understand these phenomena in elementary schools. The research method utilized descriptive qualitative research and was performed at a private primary school in Yogyakarta. The subjects consisted of teachers, students, and parents that were involved in the online learning process. Online questionnaires and interviews were used to collect data. The results of this study show the enormous impact of the COVID-19 pandemic on the learning process. Learning that is usually carried out face-to-face (conventional) has now been converted into online learning in elementary school.

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Implementation TDOA and FDOA Algorithms for Satellite Geolocation Interference Finder in Indonesia

Implementation TDOA and FDOA Algorithms for Satellite Geoloc...

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IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Ilvico Sonata Agung Trisetyarso Wayan Suparta Edi Abdurachman BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The following topics are dealt with: antenna radiation patterns; 5G mobile communication; antenna feeds; MIMO communication; Internet of Things; UHF antennas; Internet; cellular radio; microstrip antennas; wireless ch... 详细信息

ISBN: (数字)9780738125176

ISBN: (纸本)9781665418614

关键词： Satellites Interference Mathematical model computer science Geology Urban areas Conferences

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Internet of Things in disaster management systems: A systematic review

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AIP Conference Proceedings 2023年第1期2594卷

作者： G. P. L. Barnabas H. Citrawati T. A. Santoso N. Surantha Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Electrical Electronic and Communication Engineering Faculty of Engineering Tokyo City University Tamazutsumi 1-28-1 Setagaya City Tokyo 158-8557 Japan

Disasters are unexpected, sudden events that may cause monumental damages to both materials and human lives. Hence, the unpredictability and destruction that follow when a disaster happens to pose a dire challenge for researchers, scientists, and governments to find ways to effectively handle the situation and flow of information when such an event strikes. The Internet of Things (IoT) presents a solution that involves using one or more mobile devices connected over the network, thus making the transfer of data and information more effective and efficient. This paper presents a holistic analysis of the state-of-the-art IoT technologies which can answer the challenge posed above, in addition to the demand for efficiency, mobility, accuracy, as well as better communications between the command center and all actors involved in disaster operations. The applications of IoT have varied for many purposes. We divide those purposes into two broad strokes of pre-disaster management and post-disaster management IoT-aided systems. For pre-disaster management, the IoT-aided systems are mostly used to predict the possible disaster that might happen using sensors placed in strategic places. Finally, for post-disaster management, the IoT-aided systems aid in improving the effectiveness and accuracy of evacuation, relief, and victim-tracking efforts.

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Provoking Tweets by Indonesia Media Twitter in the Initial Month of Coronavirus Disease Hit

Provoking Tweets by Indonesia Media Twitter in the Initial M...

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International Conference on Information Management and Technology (ICIMTech)

作者： Ika Nurlaila Reza Rahutomo Kartika Purwandari Bens Pardamean BINUS Online Learning Bina Nusantara University Jakarta Indonesia Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

After months in denial, on 2 nd March 2020 the first case of COVID-19 in Indonesia was announced and soon was declared as a national pandemic. COVID-19 was since being the headlines of the news offline and online. This trigger either positive or negative responses from the readers, which in turn affect at least the depth of understanding and furthermore the effectiveness of any enforced intervention taken with the purpose to control the transmission of the COVID-19. In order to assess how likely the COVID-19-containing news being forwarded to reach more readers and how the pertinent news bridge further virtual interaction, we crawled data from Twitter as the major online microblogging platform to analyze how likely COVID-19-containing tweets were echoed and what typical tweet about COVID-19 that gained attentions. This is critical to evaluate how people virtually responded against the tweets. Our analyzed data is visualized using Matplotlib by Python and Graph Prism8 accordingly. We figured out that timing and number of followers are not determinative for the tweets being retweeted. Instead, provoking headline add likelihood for the tweets to be moving forward. Also appeared in our analysis that the top two media (Detik and Kompas) shared the same proportion on their tweet type fractions on where information dominated the fraction of their tweets.

关键词： Twitter Media Corona Tagging Diseases Data visualization

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Recommendation System Journalist For Getting Top News Based On Twitter Data

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Journal of Physics: Conference Series 2021年第1期1807卷

作者： Abba Suganda Girsang Sani Muhamad Isa Ikrar Harvy Computer Science Department BINUS Graduate Program–Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

One application that can be utilized in finding the latest news is by utilizing the development of information and communication technology such as seeing the delivery of public information through social media such as twitter. This study implements the system which is able to get the trending or top news based on twitter data. This information will connect to the journalist via mobile application. It helps journalists to get the potential news to be reported in their media. The application will group each tweets into various themes based on the cosine similarity. The tweets which are more the certain threshold, can be indicated as the top news. The top news is then classified into one category news by using SVM algorithm. The training data becomes from the source data of one media news. The specific topic of this result will ease to order the journalist cover this top news. The system can be implemented well.

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