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Feasibility study of Information Technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company) 10

Feasibility study of Information Technology Investment (a ca...

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Jingga, Fredy Kosala, Raymond Supangkat, Suhono Harso Ranti, Benny School of Information Systems Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728148809

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit/Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical. © 2019 IEEE.

关键词： Cost benefit analysis

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Code-Mixed Sentiment Analysis Using Machine Learning Approach – A Systematic Literature Review

Code-Mixed Sentiment Analysis Using Machine Learning Approac...

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International Conference on Informatics and Computational sciences (ICICoS)

作者： Cuk Tho Harco Leslie Hendric Spits Warnars Benfano Soewito Ford Lumban Gaol BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480

ISBN: (数字)9781728195261

ISBN: (纸本)9781728195278

Code-mixed language is ubiquitous. Having been commonly practiced among bilingual communities, code-mixed language has emerged as a common language among social media users. Despite its popularity, the analysis of a code-mixed text is challenging as the text does not typically comply with the monolingual grammar. Therefore, the popularity of social media in the past ten years has raised wide attention to develop methods for analyzing code-mixed text such as extracting popularity sentiment from the text. Machine learning-based classifier such as Support Vector Machine, Naïve Bayes, Decision Tree, Logistic Regression have been widely used to analyze the sentiment. This paper intends to further explore machine learning classifiers, their performances, variables, and most common classifiers for the code-mixed sentiment analysis. Prisma Methodology was used in this paper, extracting 12 from 230 papers that met predefined required criteria, including publication year within the last 5 years. Our findings suggested that the most common classifiers found in the papers were Support Vector Machine, Naïve Bayes, and Logistic Regression. By using the accuracy and F1 as the performance measures, the Support Vector Machine exhibited a better performance compared to Naïve Bayes and Logistic Regression. Thus, this study supported the use of Support Vector Machine, Naïve Bayes and Logistic Regression as the main classifiers for the code-mixed sentiment analysis.

关键词： Support vector machines Sentiment analysis Systematics Social networking (online) Machine learning Regression tree analysis Logistics

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Digitizing Farmers' Land Data Collection Systems in Indonesia with the Use of Tani Millenial Apps

Digitizing Farmers' Land Data Collection Systems in Indonesi...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Mohammad Prasanto Bimantio Dian Pratama Putra Teddy Suparyanto Amallia Ferhat Nanda Satya Nugraha Alam Ahmad Hidayat Bens Pardamean Department of Food and Agricultural Technology Institute of Agriculture STIPER Yogyakarta Indonesia Department of Agrotechnology Institute of Agriculture STIPER Yogyakarta Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Agricultural Socio-Economics Institute of Agriculture STIPER Yogyakarta Indonesia Department of Forestry Institute of Agriculture STIPER Yogyakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781665453967

In this era of digital world information, farmers face challenges about information management of huge data and the complexity of processes in precision farming. The data collection carried out so far can cause several difficulties, especially if the data is needed by the government or academics to support decision-making. Agricultural data collection applications only cover 12% of the market share of Android-based agriculture-based applications. In this study, Tani Milenial application is present as an alternative to support agricultural data collection activities in Indonesia. This application encourages farmers to be active and contribute independently to their role as subjects of agricultural development and is accustomed to digitally recording their agricultural activities. In this developed application system, the community, especially farmers and farmer groups, will find it easier to get information about agricultural potential data around where they carry out agricultural activities and can access this information online. Tani Milenial works as a guide to help farmers and transform agriculture but still have some gaps which should be checked and removed. The data collected can be used by various parties for research and decision-making. The app can be further improved to develop new features related to education, market information, and goods.

关键词： Decision making Education Government Transforms Data collection Agriculture Recording

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AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber 3

AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in ...

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3rd International Conference on Eco Engineering Development, ICEED 2019

作者： Harsawardana Rahutomo, Reza Mahesworo, Bharuno Cenggoro, Tjeng Wawan Budiarto, Arif Suparyanto, Teddy Surya Atmaja, Don Bosco Samoedro, Bayu Pardamean, Bens Institut Pertanian STIPER Yogyakarta55281 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mechatronics and AI Research and Development Center Biotechnic Innovation Yogyakarta55281 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Indonesia is one of the biggest palm oil exporters in the world. For Indonesia to stay competitive in thepalm oil industry, the harvesting and evacuating process in its oil palm plantation need to be optimized. This research introduces machinerycalled as Smart Crane Grabber. This machinery can be used for automatic harvesting and evacuation process of oil palm fresh fruit bunch. To enable automation, Smart Crane Grabber is equipped with an Artificial Intelligencesystem for automatic ripeness sorting. TheArtificial Intelligence system developed for Smart Crane Grabber achieves 71.34% accuracy by using only 400 images as preliminary training data. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Palm oil

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Latent Regression and Ordination Risk of Infectious Disease and Climate

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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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Scientometric Analysis of Artificial Intelligence Research in Agriculture

Scientometric Analysis of Artificial Intelligence Research i...

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International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Fairuz Iqbal Maulana Andi Pramono Miftahul Hamim Sukeipah Yuli Prihatin Rahman Arifuddin Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Entrepreneurship Business Creation BINUS Business School Bina Nusantara University Jakarta Indonesia Informatics Study Program Politeknik Kota Malang Malang Indonesia Department of Electrical Engineering University of Merdeka Malang Malang Indonesia

ISBN: (纸本)9781665473286

Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 1064 academic documents on Trends of Artificial Intelligence Research in Agriculture that we found from 2012 to 2021 were obtained by searching the Scopus database. This study uses bibliometric analysis methods to map scientific publications worldwide. We use an article selection process, the year limitation, then the database is exported to RIS and CSV format files. Researchers in the United States had the most published articles and were indexed by Scopus among the most prolific authors ( $\mathrm{N}=287$ ), followed by the United Kingdom at second ( $\mathrm{N}=139$ ) and Italy with 66 academic publications. Data analysis reveals an increasing trend in the number of Trends of Artificial Intelligence Research in Agriculture publications worldwide, as measured by the Scopus index.

关键词： Data analysis Databases Multimedia systems Bibliometrics Market research Agriculture Indexes

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Computational Adoption in Cultural Heritage: A Systematic Literature Review

Computational Adoption in Cultural Heritage: A Systematic Li...

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International Conference on Information Management and Technology (ICIMTech)

作者： Hendro Nindito Meyliana Harjanto Prabowo Achmad Nizar Hidayanto BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Computer Science University of Indonesia Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Indonesia is a country that consists of islands and has various ethnic groups and customs in it. This condition causes Indonesia to have cultural heritage that must be maintained. On the one hand, the rapid advancement of computing technology has affected all aspects of life including the cultural field. This Systematic Literatur Review aims to determine the use of adoption technological or computing that are widely applied by cultural observers in Indonesia in order to maintain the heritage of the nation's ancestors. Published articles used in this research came from the process of filtering in five online databases based on a keyword search pattern then carried out with a content analysis process, the results filtered out as many as 25 relevant articles. The next process is to analyze the content of articles in the role of ICTs that are relevant to preserve cultural heritage. The findings contribute to a better understanding on recent research in cultural heritage and adoption of technologies to maintain cultural heritage in Indonesia.

关键词： Cultural differences computer science Information systems Databases Buildings Global communication Education

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Literature Review Profiles of Specialization in Education and Profession as the basis for the development of Artificial Intelligence Website 21

Literature Review Profiles of Specialization in Education an...

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2021 4th Artificial Intelligence and Cloud Computing Conference

作者： Yasinta Indrianti Sasmoko Sonya Rapinta Manalu Queensy Lovenia Kerrin Waromi Entrepreneurship Department Universitas Agung Podomoro Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Indonesia Computer Science Department Bina Nusantara University Indonesia Management Department Binus Business School Undergraduate Program Bina Nusantara University Indonesia

ISBN: (纸本)9781450384162

Profiles of specialization in education and profession are currently heavily influenced by the development of industry 4.0. The era of disruption is marked by massive changes due to innovations that change business systems and arrangements to newer levels. In various studies, there will be many professions that are extinct but there will also be many new professions that will be born. This study aims to conduct a literature review of profiles of specialization in education and profession that are relevant to industry 4.0 trends which will then be developed in a measurement through an artificial intelligence-based website. The research method used is a bibliometric approach through scientific studies of various library sources using VOSViewer with cartographic overlay techniques and density visualization maps, to represent sequences and their relationships. While the method used to develop website profiles of specialization in education and profession based on artificial intelligence is to use the waterfall method. The results of the literature review found 10 words with a high level of bibliometric correlation as the basis for developing artificial intelligence-based websites.

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Next Generation Firewall for Improving Security in Company and IoT Network

Next Generation Firewall for Improving Security in Company a...

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2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

作者： Soewito, Benfano Andhika, Charlie Erwin Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta Indonesia

ISBN: (纸本)9781728137490

The goal of this research is to analyze of effectiveness the Next Generation Firewall that implemented to secure IoT in smart house and company network. The method used in this research is the method of comparison with a test of DDoS attacks, phishing and SQL Injection on both network, smart house network and company network. From the results of experiment, it can be concluded that the Next Generation Firewall has significantly better performance for protecting smart house and company network, it can increase security of data communication networks against threats from the Internet. © 2019 IEEE.

关键词： Network security

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Architecture design of the nusantara traditional Wastra digital repository 2

Architecture design of the nusantara traditional Wastra digi...

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2nd International Conference on Biospheric Harmony Advanced Research, ICOBAR 2020

作者： Purbasari, M. Sasmoko Caroline, O.S. Manalu, S.R. Visual Communication Design Department Graphic Design and New Media Program BINUS Northumbria School of Design Bina Nusantara University Jakarta11480 Indonesia Research Interest Group in Educational Technology Bina Nusantara University Jakarta11480 Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The Nusantara traditional wastra (NTW) is the Indonesian biodiversity product that has not been formally identified as the national referral and has yet been commercially oriented. The research objectives were to formulate the understanding of NTW dan to construct a valid architecture design of the Nusantara Traditional Wastra Digital Repository (NTWDR). It was described as implementing the digital inventory business in the form of a smart portal template that acted as an infinite window of the complete Indonesian traditional wastra and as a marketplace for the Indonesian traditional wastra value chain. The research used the Neuroresearch approach of exploratory research through literature studies and FGD with the Delphi Technique for the validity of the design. The NTW's boundaries and the NTWDR's design in the form of a portal-based website are set as the results. © Published under licence by IOP Publishing Ltd.

关键词： Biodiversity

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