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Impetus and influences of Online Learning Interaction based on Non-English Lecturers' Perspectives in global class program

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： J Y Luke S T Sela Language Center English Department Faculty of Humanities Bina Nusantara University Jakarta 11480 Indonesia Language Center Computer Science Department Faculty of Humanities Bina Nusantara University Jakarta 11480 Indonesia

The purpose of this paper aimed to investigate the impetus and influences of executing Online Learning Interaction in the Global Class program. There were sixteen university lecturers involved in this study. Data were collected through an online survey using Google form. The analysis of data used descriptive analysis using percentages. The results indicate that Online Learning Interaction carried out in English classrooms resulted in positive effects for university lecturers. The most influential effect of executing Online Learning Interaction to facilitate lessons in English was aiding to enhance technological skills in learning. Then, the second biggest effect was facilitating to transformation global vision or mindset of the lecturers. The third and fourth places were improving the effectiveness of communication in learning and enhance delivering skills. Moreover, the study indicates that ICT satisfaction in learning was the dominant motive to execute Online Learning Interaction in English Classroom contexts.

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Industrial revolution 4.0 on big data adoption factors on social media users and popularity brands

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Journal of Physics: Conference Series 2021年第1期1839卷

作者： W Sardjono G Rama Putra E Selviyanti A Cholidin G Salim Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Law Studi program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jakarta Indonesia

The purpose of writing this paper is to look at how factors of big data adoption affect the users of social media and brand popularity. The method used in the writing of this paper is by using path analysis and also by doing literature study to find reference material. The results of the analysis indicate that there is influence of big data adoption factors that affect the popularity of the brand. With this research, we get big data model that influence the brand popularity.

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Measurement of QuestDone mobile application using 7 steps use case points method

Measurement of QuestDone mobile application using 7 steps us...

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2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017

作者： Sutoyo, Rhio Hendric Spits Warnars, Harco Leslie Gaol, Ford Lumban Abdurachman, Edi Soewito, Benfano Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

The rise of mobile application is inevitable. Every year, the number of mobile application is increased. It is important for mobile application project owners to calculate the required resources before building a mobile application. In software metric, Use Case Points method is able to count software size of mobile application based on their functionality. This method utilizes use case diagram as their computation factors in the estimation process. Moreover, two other complexity factors are also considered in this method, which are: Technical Complexity Factor and Environment Factor. In this paper, we present software size calculation of QuestDone Mobile Application using 7 steps use case points method. QuestDone has been implemented, but we do not know its software size (i.e. how big the software, how much it cost, how many people is needed). As the result from use case points method, the Use Case Points value of QuestDone is 126.88 with Effort Estimation equal to 889 hours. The software size estimation process of QuestDone Mobile Application detailed in this paper can give an insight to project owners to count software size of other similar projects. © 2017 IEEE.

关键词： Application programs

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Analysis of plant pattern using water balance and cimogram based on oldeman climate type 2

Analysis of plant pattern using water balance and cimogram b...

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Caraka, R.E. Tahmid, M. Putra, R.M. Iskandar, A. Mauludin, M.A. Hermansah Goldameir, N.E. Rohayani, H. Pardamean, B. Bina Nusantara University Jakarta11480 Indonesia Indonesia Agency for Meteorology Climatology and Geophysics Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Laboratory of Sociology and Extension Universitas Padjadjaran Indonesia Universitas Riau Kepulauan Batam Indonesia Riau University Indonesia Universitas Adiwangsa Jambi Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The transfer of land has an impact on the decreasing of the agricultural land area, so it is necessary to plan the right cropping pattern as an effort to increase the productivity of agricultural cultivation. Also, Climate is one of the factors influencing the determination of cropping pattern in a region. Analysis of climatic characteristics in the determination of cropping pattern not only based on oldeman climatic classification. At the same time, the study of groundwater availability for plants and climogram of climatic elements is needed in determining planting schedule which is suitable for planting and determination of irrigation water supply, either the right amount of time. This study aims to identify and build spatial of the oldeman climate classification. It also determines the cropping pattern for seasonal crops based on the calculation of water balance and climogram (rainfall and air temperature) in each type of climate oldeman district of Cirebon and surrounding areas. Data used monthly rainfall data period 1981-2010 from BMKG Jatiwangi station and air temperature data, plant coefficient and the base map of Cirebon region. The analysis method includes classification of Oldeman climate type, spatial data processing, water balance calculation by Thorntwaite & Matter method and making climogram (rainfall and temperature) with: k = p0 + p1/FC;p0 = 1.000412351;p1 = -1.073807306 and determination of planting pattern of each type of oldeman. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Groundwater

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Maintaining the Quality and Aroma of Coffee with Fuzzy Logic Coffee Roasting Machine

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Harsawardana Bayu Samodro Bharuno Mahesworo Teddy Suparyanto Don Bosco Surya Atmaja Bens Pardamean Artificial Intelligence Research and Innovation Center for Agroindustry (AIRICA) Institut Pertanian STIPER Yogyakarta Indonesia 55281 Mechatronics and AI Research & Development Center Biotechnic Innovation Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

With the increasing global demands of coffee, Indonesia need to increase their coffee beans supply and improve the quality to maintain its position in the international coffee industry. One of the most important coffeepre-processing, coffee bean roasting, is under developed in Indonesia. Indonesia coffee farmers prefer to use the traditional cauldron to roast their coffee beans. Roasting coffee beans using traditional cauldron is inefficient and resulting unequal roasted level for the coffee beans. In this study, we proposed atemperature control system based on fuzzy logic for coffee roaster machine. The system controls the temperature in accordance with the demanded roasting level. A thermal camera is attached inside the roasting chamber to monitor the heaton the roasted coffee beans. The thermal camera is integrated with a stirring mechanism to equalise the heat among the beans.

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Preface

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Procedia computer science 2019年 157卷 1-1页

作者： Budiharto, Widodo Suhartono, Derwin Gunawan, Alexander A.S. Suryani, Dewi Meiliana Ham, Hanry Sari, Azani Cempaka Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

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Critical success factor measurement model implementation of natural disaster mitigation knowledge management systems

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AIP Conference Proceedings 2020年第1期2245卷

作者： Wahyu Sardjono Harisno Widhilaga Gia Perdana Tri Pujadi Karto Iskandar 1Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta INDONESIA 11480 2Post Graduate Program School of Environmental Science University of Infonesia Jakarta INDONESIA 3School of Information Systems BINA NUSANTARA University Jakarta INDONESIA 11480 4School of Computer Science BINA NUSANTARA University Jakarta INDONESIA 11480

In Law Number 24 Year 2007 concerning Disaster Management, it is stated that the central government and regional governments are responsible for implementing disaster management, with an emphasis on preparedness and mitigation in dealing with natural disasters, but the socialization of these two matters is not regulated in the law exist, so that the planning and implementation of the socialization and internalization program must be carried out by the community itself. Exposure in this paper aims to provide an overview of how socialization of mitigation in dealing with natural disasters carried out by the use of information systems and technology can be successful with reference to the theory of SECI (Socialization, Externalization, Combination, and Internalization), knowledge development with data formed based on the perspective of the community. Factor analysis method is used to look for the success factors of mitigation socialization in the face of natural disasters. Furthermore, from the new factors that are formed, further analysis is carried out with a regression analysis method to develop a successful model of disaster mitigation socialization *** results of the study provide a number of new factors that can be represented as variables of community awareness of natural disasters, mitigation socialization processes in the face of natural disasters, availability of systems and information technology, and knowledge management governance on natural disaster mitigation. The conclusion obtained from this study is that the momentum of the industrial revolution era 4.0 can be utilized to support the socialization process of natural disaster mitigation independently measured based on the local wisdom of the local community.

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The Evaluation of Education ERP System Implementation in University Using CSF and TAM 3

The Evaluation of Education ERP System Implementation in Uni...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Eka Widjaja, Henry Antonius Meyliana Hidayanto, Achmad Nizar Phusavat, Kongkiti Sablan, Bruno Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Faculty of Computer Science University of Indonesia Depok16424 Indonesia Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The objective of the research is to evaluate the implementation of the Education ERP system in the university and identify the factors that influence the success in its implementation. The analytical method used is the Structural Equation Model (SEM) with a software tool SMARTPLS 3. The results of this research can identify the critical success factors (CSFs) in the implementation of the education ERP system in university and its relationship with the Technology Acceptance Model (TAM) and user satisfaction variables. The object of this research is the education ERP system called BINUS Campus Solution (BCS) that is implemented at BINUS University. The conclusions that are obtained are CSFs from the implementation of the education ERP system in the university are training, technology selection adaptation, vendor relationship, and strategy fit. The ease of use has significant effect on benefits and user satisfaction. The benefits and strategy fit have a significant effect on user satisfaction. The training and vendor relationship have a significant effect on ease of use. All CSFs when combined together significantly affect the ease of use, benefits, and user satisfaction. © 2018 IEEE.

关键词： Enterprise resource planning

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Web-Based Evaluation System Using Kirkpatrick Model for High school Education (A Case Study for Vocational High school in Jakarta)

Web-Based Evaluation System Using Kirkpatrick Model for High...

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International Conference on Information Management and Technology (ICIMTech)

作者： Muchammad Kukuh Fadhilah Nico Surantha Sani M. Isa Computer Science Department Bina Nusantara University Jakarta Indonesia

Evaluation is the best way to refine a service quality. Quality of service will have an effect on the accomplishment of an organization's aim. Suitable and precise evaluation model will help the vocational high school in arranging a master plan to enhance the quality of education services provided. Kirkpatrick's model became the fundamental framework in this case study. This model was usually utilized to evaluate the impact of corporate training to the development of staff and also the impact to organization performance. In this paper, we perform case study for one of the vocational high school in Jakarta. There is a concern from the school about how to conduct evaluation of the teaching activity, students performance, and institution performance. In this paper, we propose a web-based e-learning system using Kirkpatrick evaluation model to solve this problem. We built the e-learning application using codeigniter framework. From the result, it can be seen that the developed system can provide platform for the school to evaluate the quality of teaching activity based on the students feedback, evaluate the performance of students after attending class, and also evaluate how the trend of institution performance year by year.

关键词： Training Adaptation models computer science Organizations Accreditation Object oriented modeling

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Generalized Spatio Temporal Autoregressive Rainfall-Enso Pattern in East Java Indonesia 1

Generalized Spatio Temporal Autoregressive Rainfall-Enso Pat...

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1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018

作者： Caraka, Rezzy Eko Ulhusna, Mishbah Darmawan Supatmanto, Budi Goldameir, Noor Ell Hutapea, Bonar Darmawan, Gumgum Novitasari, Dian Candra Rini Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta 11480 Indonesia School of Mathematical Sciences National University of Malaysia Malaysia Department of Statistics Padjadjaran University Indonesia Modifikasi Cuaca - BPPT Balai Besar Teknologi Indonesia Faculty of Psychology Tarumanagara University Indonesia Department of Mathematics UIN Sunan Ampel Surabaya Indonesia Riau University Indonesia 'Yptk' Padang Universitas Putra Indonesia Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538694220

Monthly rainfall analysis and forecasts are made to be able to provide a clear picture of the rain and climate conditions that have occurred and will occur in the territory of Indonesia. The information can be known in an area that has the most substantial maximum rainfall and in an area which has the lowest rainfall described and presented spatial pattern by using the ArcView-GIS. The purpose of making monthly rainfall forecasts is to be used and utilized by users, especially in the agriculture and irrigation sectors to plan and make decisions within the next 1 to 3 months related to climatic conditions, especially rainfall. In this paper, we use annual rainfall data in six location East Java. We analysis ENSO phenomena as well as rainfall forecasting in January - March 2018 by using generalized space-time autoregressive and get an accuracy MAPE out samp;e amount 2.95% dan RMSE out sample amount 4.77. © 2018 IEEE.

关键词： Rain

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