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Analysis of barriers to the development of Industrial Internet of Things technology and ways to overcome them

IOP Conference Series: Materials Science and Engineering 2021年第1期1019卷

作者： V Zhmud A Liapidevskiy V Avrmachuk V Sayapin O Stukach H Roth Dept. of Automation Novosibirsk State Technical University Novosibirsk Russia Novosibirsk Institute of Program Systems Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Faculty of Computer Sciences of National Research University Higher School of Economics Moscow Russia Faculty of Natural Sciences and Technology University of Siegen Siegen Germany

As is known, in 2019 the national program 'Digital Economy of the Russian Federation' was launched. In the first phase, nine roadmaps were developed, of which six were approved by the Prime Minister. Participation in the development of these roadmaps provides a fresh perspective on some particular problems. The authors reveal some details of the approach to the implementation of the 'Industrial Internet of Things' direction. Some specific differences of the industrial Internet from the regular Internet are discussed using examples. Some conclusions are drawn about the directions for further research in this area.

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Vibration-based classification of road damages: Gyroscope data and a simple neural network model 2

Vibration-based classification of road damages: Gyroscope da...

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

作者： Gunawan, Fergyanto E. Herriyandi Soewito, Benfano Mauritsius, Tuga Surantha, Nico Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Neural network models

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A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions

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Journal of Physics: Conference Series 2020年第3期1477卷

作者： Indra Ranggadara Yunita Sartika Sari Saruni Dwiasnati Ifan Prihandi Sfenrianto Computer Science Department Mercu Buana University Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.

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Using DeLone and McLean model for evaluating an e-commerce website

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IOP Conference Series: Materials Science and Engineering 2020年第1期725卷

作者： Mesra Betty Yel Sfenrianto Sfenrianto Raka Doni Anugrah Faculty of Computer Science STIKOM CKI Jakarta Indonesia Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

E-commerce in Indonesia has grown rapidly and provided many positive impacts especially on the field of online business. Through the developments, there are certainly many factors that must be carefully considered in all aspects to get the 'goal' as desired. So, when an e-commerce website has made changes whether we can conclude that the results worked so far or not. It can start by taking the existing factors that become the determinant of one of the successes in the e-commerce website. The study aims to evaluate factors become the success of an e-commerce (***). Using the McLean and Delone success model approach that has 5 factors, namely: system quality, information quality, use, user satisfaction and net benefit. The result shows system quality, user satisfaction, and net benefits influence to use factor. net benefit influence to use. Quality of information influence to user satisfaction *** user satisfaction influence on net benefit factor. Thus, be expected, the model can be used as reference in related evaluating an e-commerce website.

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Decision Support Model for Supplier Selection Using Fuzzy Logic Concept 3

Decision Support Model for Supplier Selection Using Fuzzy Lo...

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

作者： Gunawan, Ferdi Wang, Gunawan Utama, Ditdit Nugeraha Komsiyah, Siti Suharjito Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia Mathematics Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Improving the company's performance to compete globally, in rapid growth market economy condition, is practically required. One of the important things is right decision in issues of supplier selection. The improper supplier affects consequence negatively to the quality of company's business process. Thus, the right way to answer the issues is incredibly crucial to be proposed. This study aims to design an application to determine the sub-criteria weight with Fuzzy-AHP method, select the best supplier via Fuzzy-TOPSIS method, and calculate the allocation of quota to each supplier thru Fuzzy-MOLP method. The study was conducted on high class store by taking the object of material gymnastic product (spandex). Simulation confidently demonstrates that the Fuzzy-AHP approach is able to be operated to generate parameter Quality Product as the best sub-criteria (with value 0.221), the Fuzzy-TOPSIS technique can be used to ring out the supplier (where CV. Maju Jaya Abadi as the best supplier), and the method Fuzzy-MOLP is exploited to calculate the allocation of quota (where CV. Maju Jaya Abadi as a supplier with the highest percentage of 44.40%). © 2018 IEEE.

关键词： Fuzzy logic

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Smartphone Application for Badminton sports community

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Journal of Physics: Conference Series 2020年第2期1477卷

作者： Nizirwan Anwar HendroAsali, Eric Heryanto Budiyanto, Teddy Hendyan, Willy Harco Leslie Hendric Spits Warnars Faculty of Computer Science Esa Unggul University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

Nowadays, there are so many people in Indonesia particularly young people who are interested in playing badminton, but at the end of the day, this game will make boring for young people particularly with the booming of the smartphone game. Literally, it will make the young generation too lazy for outing activity or doing sports and busy with their digital technology, particularly their smartphone. Obviously, we are interested in using the mobile application which can be used to bridge the boring of doing sports mainly badminton sport, wherewith this mobile application is not just only for field badminton or coach booking, but can extend their friendship and community in positive ways. Hopefully, with this mobile application not just only booking for Badminton fields, but beyond that, there will be a mobile application that supports the fans of the badminton sports community when can know each other from different places and make friendship and competition among the members. At the end of the day, we hope this mobile application will support young people to stay away from trouble and drug and to have a positive life with the sport, particularly badminton sport as Indonesian’s favorite sport.

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Specify of Estimation Using C4.5 Algorithm of Software Project Estimation at the Point of Sales Application with Cocomo II 4

Specify of Estimation Using C4.5 Algorithm of Software Proje...

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4th International Conference on Science and Technology, ICST 2018

作者： Novel, Kadinar Sfenrianto, Sfenrianto Gata, Windu Nainggolan, Kaman Wahyudi, Mochamad Jakarta Indonesia Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Master of Computer Science Postgraduate Programs STMIK Nusa Mandiri Jakarta Indonesia

ISBN: (纸本)9781538658130

In software development, it is required an appropriate estimate. One of the most commonly used software project estimation models is Constructive Cost Model(COCOMO II). The model is often used to obtain accurate results in estimating important factors such as cost and human resources. However, to obtain the more accurate estimation results, this study proposes a C4.5 algorithm based on COCOMO II estimation results. In this study, software project estimates are used in the Point of Sales (POS) applications. Based on these data with COCOMO II method, it is estimated that the schedule, staff, and cost are also specifying estimation from the result of COCOMO II using a C4.5 algorithm. The accuracy of the estimation results is around 90% with Algorithm C4.5. The value can be used as a reference for the development of the next POS software project. © 2018 IEEE.

关键词： Decision trees

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Radiotherapy Communication Skills Training using Chatbot-Based Prototype (SCIMORT)

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Journal of Medical Imaging and Radiation Sciences 2022年第4期53卷 S1-S1页

作者： Nor, A Nur, S Muhamad, K Rozilawati, A Noorazrul, Y Muhammad, F Nani, S Noraini, W Saiful, H Liyana, S Diagnostic Imaging and Radiotherapy Program School of Diagnostic and Applied Health Sciences Faculty of Health Sciences Universiti Kebangsaan Malaysia Jalan Raja Muda Abdul Aziz 50300 Kuala Lumpur Malaysia Department of Mathematical Sciences Faculty of Science and Technology Universiti Kebangsaan Malaysia UKM Bangi 43600 Selangor Darul Ehsan Malaysia Department of Information Systems Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

IntroductionEffective communication skills are integral to providing adequate patient care and are fundamental to its effectiveness. This is particularly important for radiotherapy students while interacting with patients. Students tend to feel disempowered and inadequate to communicate effectively due to repeated miscommunication between students and patients. For students seeking to develop their abilities, confidence, knowledge, and critical thinking, blended learning-based communication skills training may have been an alternative approach. In this study, a chatbot-based prototype model (SCIMORT module) was designed to effectively improve the communication skills of undergraduates in Diagnostic Imaging and Radiotherapy at Universiti Kebangsaan Malaysia. MethodsSCIMORT was developed in compliance with the Clinical Practice for Radiotherapy course's academic syllabus and learning objectives. SCIMORT was constructed using Blender with final exportation to Bot Libre. The research study is divided into two phases. The first phase focuses on developing the SCIMORT module, while the second phase includes properly evaluating the prototype created in the first phase via a survey questionnaire. ResultsThe virtual patient created in the first phase was displayed a visual cue (e.g. blinking, eye movement) and auditory cues (e.g. verbal response, intonation of voice). In the second phase, the expert validation of the questionnaire resulted in a high Content Validity Ratio of more than 0.83 percent and a Cronbach Alpha Coefficient of more than 70%. Both the control group's (users' acceptance = 3.919 ± 1.245; users' engagement = 3.526 ± 1.270) and Trial group's (users' acceptance = 3953 ± 1.114; users' engagement = 3.568 ± 1.142) users' acceptance and engagement with SCIMORT were neutral. ConclusionThe SCIMORT has proven to be an effective and acceptable tool for pre-clinical learning, but with limited levels of engagement. The SCIMORT module should be continually improved by

关键词： SCIMORT module communication skill virtual patients virtual clinical experience breast cancer simulation

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Improving Rice Productivity in Indonesia with Artificial Intelligence

Improving Rice Productivity in Indonesia with Artificial Int...

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International Conference on Cyber and IT Service Management (CITSM)

作者： Nicholas Liundi Aditya Wirya Darma Rivaldi Gunarso Harco Leslie Hendric Spits Warnars School of Information Systems Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

Indonesia is one of the biggest agriculture countries in the world with one of its major commodities, rice. Despite its vast paddy field and tropical resources, Indonesia still has not achieved food security. This paper explores ideas about how to present artificial intelligence that may increase rice productivity in Indonesia. Current situations of rice cultivation are mentioned start from existing technologies and systems used in Indonesia. Some artificial intelligence concepts are also introduced. Artificial Intelligence use in rice farming is then analyzed which ideas may be applicable to increase efficiency further. Those that are already implemented in rice farming include diseases and pest detection, prediction and estimation, and automated intelligent systems. In the proposed idea section, ideas to increase production are explored. Using advanced technologies may not be suitable for Indonesia's rice farmers. One argument is to minimize the differences in rice yield in different areas or so what we called yield gap. Factors such as weather, water, and harvest date are those with most impacts on the yield gap. It is beneficial to have a model that can predict the optimal planting date of rice since that will maximize the factors before. Among those implemented, a planting calendar prediction on rice-based on rainfall is already developed. However, rainfall is not the only factor. El-Nino occurrences and temperature changes also have a role in deciding when best to plant rice. The author suggests adding those two new variables, making three in total to the earlier neural network model may improve the overall result.

关键词： Artificial intelligence Diseases Meteorology Agriculture Productivity Artificial neural networks

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An adaptive e-leaming model based on myers-briggs type indicator(MBTI) 3

An adaptive e-leaming model based on myers-briggs type indic...

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3rd International Conference on Informatics and Computing, ICIC 2018

作者： Yel, Mesra Betty Sfenrianto, Sfenrianto Meistiawan, Elisa Tri Faculty of Computer Science STI and KOM CKI Jakarta Indonesia Information Systems Management Department BINUS Graduate Program Master of Information System Management Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781538669204

Adaptive e-learning system is widely used to customize the content of teaching materials to student learning styles. This study aims to propose an adaptive e-learning model that is able to determine the MBTI learning styles of students. It can be used by the system as to provide learning materials or e-learning activities in each phase of learning. In this study, adaptive e-learning model there are learning sessions namely: Introduction, Content, Assignment, and Exercise. Each learning session is based on MBTI learning style. © 2018 IEEE.

关键词： Learning systems

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