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Genetic variation of somaclonal mutants from the 8th generation of Pekalongan accession rodent tuber (typhonium flagelliforme lodd.) based on RAPD-PCR analysis 2

Genetic variation of somaclonal mutants from the 8th generat...

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

作者： Purnamaningsih, Ragapadmi Sianipar, Nesti Fronika Assidqi, Khoirunnisa Spits Warnars, Harco Leslie Hendric Indonesia Center for Agricultural Biotechnology and Genetic Resources Research and Development Bogor16111 Indonesia Food Technology Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia Research Interest Group Food Biotechnology Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Rodent tuber is a potential plant which can be developed as an anticancer drug. The rodent tuber plant has a low anticancer compound which does not have an economic value to be utilized on an industrial scale, particularly to explore as an anticancer drug. The material plant was used 30 clones of Rodent Tuber Pekalongan to increase its bioactive compounds using a combination of in vitro culture with gamma-ray irradiation. The selection process has been done until the 8th generation and obtained 14 somaclonal mutants that have higher bioactive compounds than control plant (non-mutant). This study aimed to analyze the genetic variation of 14 somaclonal mutants of rodent tuber using RAPD with 14 primers. The results were produced 513 total bands with the size of 200-5000 bp and 380 polymorphic bands between somaclonal mutants. OPB-18 primer produced the most polymorphic bands and five specific polymorphic bands of 1336 bp, 1070 bp, 901 bp, 861 bp and 728 bp in the somaclonal mutant M23 (20-4-2-1-1-1). OPD-20 primer produced seven specific polymorphic bands of 1574 bp, 1557 bp, 1501 bp, 1496 bp, 1234 bp, 1229 bp and 1086 bp in the M23 somaclonal mutant. The phylogenetic analysis showed that there were two main groups with the coefficient similarity between 0.77 and 0.83. The highest genetic variation obtained was found in the M23 somaclonal mutant with a genetic difference of 23% compared with control. There are five somaclonal mutants (M24, M22, M21, M16, M14) that have a genetic variation of up to 22% over the control. This study shows that OPB-18 and OPD-20 primers were efficient in detecting somaclonal mutant variants. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Gamma rays

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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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Hypermedia Driven Application programming Interface for Learning Object Management

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Procedia computer science 2018年 135卷 120-127页

作者： Herru Darmadi Suryadiputra Liawatimena Bahtiar Saleh Abbas Agung Trisetyarso Computer Science Department School of Computer Science Bina Nusantara University Jl. Kebun Jeruk Raya No 27 Kemanggisan Jakarta 11480 Indonesia Computer Engineering Department Faculty of Engineering Bina Nusantara University Jl. Kebun Jeruk Raya No 27 Kemanggisan Jakarta 11480 Indonesia Industrial Engineering Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jl. Kebun Jeruk Raya No 27 Kemanggisan Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jl. Kebun Jeruk Raya No 27 Kemanggisan Jakarta 11480 Indonesia

The research purpose is to create a hypermedia driven API for learning object management. The research focuses on conception, design, implementation and evaluation of the learning object management hypermedia API. The hypermedia API was designed based on learning object models, hypermedia concepts, and related studies. Learning object model can be represented and manipulated as a hypermedia resource. It contains page resources with text and links to multimedia elements. The hypermedia API was designed using UML and represented in HTML5 because of its rich affordance. The implementation and evaluation phase were conducted by testing the API using three different client’s software to prove the concept of hypermedia as the engine of application state for managing learning objects. The results show that the hypermedia API for learning object management is accessible, consistent, and discoverable by heterogonous client applications.

关键词： hypermedia API HTML5 learning object content management

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Model of developing key performance indicator to increase the quality of education during the Covid-19 pandemic

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Journal of Physics: Conference Series 2021年第1期1832卷

作者： E Selviyanti W Sardjono M Mukhlis M Tohir M Maswar A Fariz Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Faculty of Teacher Training and Education Islamic State Institute of Jember Jawa Timur INDONESIA Universitas Ibrahimy Situbondo Indonesia Computer Network Engineering SMK 3 Perguruan 'Cikini' Jakarta Indonesia 12640

Indonesia is one of the countries whose people are most affected by the 2019 corona virus (COVID-19). When the corona virus spreads faster, the Indonesian government imposed large-scale social restrictions in big cities to villages in Indonesia. With the changing situation in carrying out work activities during this pandemic, it will certainly affect the quality of organization in companies and the quality of education in schools and colleges. In order to identify all processes in teaching and learning activities that are running well or not, schools need to monitor and measure employee performance. Key performance indicators (KPIs) are generally used as benchmarks to determine how well a company's performance can be represented by employee performance. In this study, the key performance indicator preparation process was carried out through the stages of designing a questionnaire, distributing questionnaires to employees in educational institutions, conducting factor analysis and then developing a KPI model. The output is in the form of a KPI model that can be used as a reference in the formation of KPIs in educational institutions, namely Y = 5,360 + 1,380 X1-1, 068 X3.

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Use case point as software size measurement with study case of Academic Information System

Use case point as software size measurement with study case ...

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

作者： Safrizal, S. Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Abdurachman, Edi Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia Faculty of Technic Satya Negara Indonesia University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

Academic Information System at Satya Negara Indonesia university (USNI) was developed since 2008 and as major systems required for the processes of academic activities process, which support the teaching learning process activities. The Academic information system serving students carry out lectures and gain value in the form of cards in each semester of study results. In order to rebuilding this system the current system will be measured with Use Case Point (UCP) in order to help management when extend the current Academic Information System. UCP will help the management when making their decisions regarding with the development of system in term of time, people and money. Measurement software using the UCP in Academic Information Systems of Satya Negara Indonesia university has score Use Case Point (UCP) = 86.864 and categorized as small software size project which is smaller than 99. © 2017 IEEE.

关键词： Information systems

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A proposed framework in an intelligent recommender system for the college student

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Journal of Physics: Conference Series 2019年第6期1402卷

作者： D Kurniadi E Abdurachman H L H S Warnars W Suparta Department of Computer Science BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Department of Informatics Sekolah Tinggi Teknologi Garut Garut Indonesia

This article aims to proposed framework an Intelligent Recommender System (IRS) for students in higher education institutions. This conceptual framework includes problems in predicting student performance, the possibility of graduating on time, and recommends choosing subjects according to performance, and career interests, which are useful for assisting pedagogical interventions in future student development. The success in the development and implementation of the proposed IRS framework is inseparable from using data mining and machine learning techniques in predicting and providing recommendations. Data analysis consisted of clustering techniques, association rules, and classification using Support Vector Machine (SVM), Naïve Bayes, and k-Nearest Neighbour (k-NN). These techniques are used to solve problems related to students and to provide appropriate recommendations. The result is an IRS conceptual framework for the college student that can be used as smart agents to provide student guidance and suggestions to support the process of education in higher education.

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Multi-criteria decision making on succesfull of online learning using AHP and regression

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Journal of Physics: Conference Series 2019年第1期1175卷

作者： Fatsyahrina Fitriastuti Uci Rahmalisa Abba Suganda Girsang Department of Informatics Engineering Janabadra University Yogyakarta Indonesia Department of Informatics Engineering STMIK Hang Tuah Pekan Baru Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This paper purposes comparing the view of system builder (expert system) using analitycal hierarchy process (AHP) and view of user (students) using regression method in elearning system STIKes-STMIK Hang Tuah Pekanbaru. This study uses some attributes to analyze and evaluate which affect the acceptance of elearning system success. In AHP, the attributes are categorized as criteria and grouped into some dimensions. These criteria and dimenssions are evaluated by some experts using analitycal hierarchy process (AHP) to assess priorities for elearning system. There are four dimensions, system quality (four criteria), learning information quality (three criteria), service quality (three criteria) and service support (three criteria) dimension. This system is also evaluated by filling out the questionnaire by students as user of elearning system using regression method. The attributes are used as independent variable, while the succesfull of elearning is dependent variable. The result of using AHP and regression system has a different. It also can show there are different view between users and system builder which should be considered by STIKes-STMIK Hang Tuah Pekanbaru.

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A Survey Positive Engagement of Learning Community for Informal Education to Support Community

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IOP Conference Series: Materials science and Engineering 2019年第2期662卷

作者： Winanti Ford Lumban Gaol Meyliana Harjanto Prabowo Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information System Departement STMIK Insan Pembangunan Tangerang Indonesia 15810 Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Indonesia 11480 Information Systems Department School of Information Systems Bina Nusantara University Indonesia 11480

Tacit knowledge has not been revealed in an explicit and structured form, the low motivation of people to seek new knowledge from tacit knowledge and explicit knowledge. It takes a place that can channel the hidden knowledge into new knowledge. The purpose of this paper is to find out the mapping of community learning in informal education to support learning communities. Some of the previous studies of Learning Community were able to create smart, skilled, independent and competitiveness communities with learning programs at formal education. The internet community and media make a distance not an obstacle for people who exchange ideas. The power of bonding makes people help each other like families who have the same responsibilities. Community-based learning becomes an alternative in the future, where conventional learning will gradually be abandoned. Learning Community in the context of informal education is an alternative for busy individuals and it is difficult to find time to share knowledge. The method used is by survey method by defining the scope in detail, and determining the research question; do a search that involves selecting literary sources based on keywords, and determine inclusion and exclusion criteria to sort the types of references for further exploration. Community-based learning has unique things related to the learning process that is not possessed by formal education, among others, the interaction between community members, collaboration in sharing knowledge, quick feedback in solving problems, and self-reflection that often expresses opinions. unthinkable, the creation of actualization, problem-solving and learning by doing as well as learning community learning can also be done with experience-based learning.

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Comparative Analysis of Gaudy Booch and Ivar Jacobson Methods in Mercu Buana Mobile Application Database Design

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Journal of Physics: Conference Series 2019年第1期1179卷 012030-012030页

作者： Ranggadara, I Sfenrianto Computer Science Department Universitas Mercu Buana Indonesia Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Universitas Bina Nusantara Jakarta Indonesia

Attendance, presence, or attendance recording is very important for every lecture, office or other organizational activities. Currently, recording student attendance activities at Mercu Buana University is by calling one by one the students by the lecturer, then the lecturer signs attendance on the special application form for lecturers that have been provided. For this reason, it is necessary to design a database to create the database. The analysis used is SWOT to compare between Gaudy Booch and Ivan Jacobson methods. This comparison is used to find out which method is appropriate in implementing a better database. Based on the database design that is made to further facilitate archiving of attendance, increase data efficiency. From the results of the research with class diagram description objects, the class diagram and database model that we use is from Ivar Jacobson, because it shows how actors from class diagrams point to Object-Oriented Software Engineering that has advantages that are easy to learn and have notation simpler.

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Accuracy for Sentiment Analysis of Twitter Students on ELearning in Indonesia using Naive Bayes Algorithm Based on Particle Swarm Optimization

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Journal of Physics: Conference Series 2019年第1期1179卷

作者： Mohamad Kartiko Sfenrianto Master of Computer Science - Postgraduate Programs STMIK Nusa Mandiri Jakarta Indonesia Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Universitas Bina Nusantara Jakarta Indonesia

Students can use social media such as Twitter for online learning (E-Learning). This study aims to analyse an accuracy for the sentiments of students about E-Learning who use Indonesian on Twitter social media both positive and negative opinions. The algorithms used are Naive Bayes (NB). Then to optimize the accuracy of the calculation results, the Particle Swarm Optimization (NB-PSO) approach is used. In order to optimize accurate results, this study uses three experimental sequences (scenario 1, scenario 2, and scenario 2) for both NB and NB-PSO algorithms. Each scenario uses different positive and negative comments. The results of the experiment show that in scenario 1 an increase in accuracy is 10.00% for NB-PSO. Scenario 2 there is an increase in accuracy of 13.33% on NB-PSO. Meanwhile, in scenario 3 an increase in accuracy is 27.22% for NB-PSO. These results prove that the accuracy of NB-PSO is better than NB for all scenarios.

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