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Model Decision Support System For Diagnosis COVID-19 Using Forward Chaining: A Case in Indonesia

Model Decision Support System For Diagnosis COVID-19 Using F...

引用

International Conference on Cyber and IT Service Management (CITSM)

作者： Henderi Miftah Maulana Harco Leslie Hendrie S. Warnars Didik Setiyadi Taufik Qurrohman University of Raharja Tangerang Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Bina Insani University Bekasi Indonesia

ISBN: (数字)9781728177014

ISBN: (纸本)9781728177021

The government in Indonesia and its staff work together to make tactical steps to prevent the spread of COVID-19 in the community. From the ministerial level to the heads of the provinces, regencies, and even the government. Therefore, this study aims to make a model decision support system to diagnose patients exposed to Covid-19, such as people in control, patients in oversight, and those who are positive for the Covid-19 Virus. Model decision support system development aims to provide information about the development of COVID- 19 and help the community in diagnosing themselves related to COVID-19 infection. In this study, the authors use the forward chaining method in application to get conclusions from the symptoms of the Covid-19. This research resulted in an application that patients exposed to the Covid-19, and it's also provided a solution for healing from patients. And this could be a reference for patients before consulting further with the doctor.

关键词： COVID-19 History Expert systems Viruses (medical) Decision support systems Lung Informatics

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An Agile Implementation Model for ERP 4

An Agile Implementation Model for ERP

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4th International Conference on Information Management and Technology, ICIMTech 2019

作者： Wijaya, Santo Fernandi Prabowo, Harjanto Kosala, Raymondus Raymond Meyliana Information Systems Department Computer Science Department Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Management Department Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728133331

The growing impact of industrial dynamics will be a challenge to increase productivity. Productivity is a demand for improving organizational performance. ERP systems are a way to increase productivity. Therefore, ERP implementation is important to ensure that ERP runs well. Critical factors in ERP implementation must get serious attention to project management. Even so, the reality of ERP implementation is slowly, even tends to experience failure, resulting in highly expensive. The previous research that carried out ERP implementation showed that the failure reached 40%, and the achievement of the benefits of ERP implementation in Indonesia is still not optimal. It can be said that ERP implementation is a complexity project. For this reason, it is necessary to consider other implementation methods that can overcome the problem in implementing ERP. An agile method is a proactive and reactive alternative to handle the problem in implementing of ERP. The development of an agile ERP model is one way to achieve success in ERP implementation. This research methodology is a survey approach to the study of literature. This research will propose an agile ERP model which will be used as an effective guide for achieving the success of ERP implementation. © 2019 IEEE.

关键词： Productivity

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Measure The Level Of Success In Using Google Drive with the Kuder Richardson (KR) Reliability Method

Measure The Level Of Success In Using Google Drive with the ...

引用

International Congress on Applied Information Technology

作者： Andi Nugroho Harco Leslie Hendric Spits Warnars Yaya Heriyadi Lukas Tanutama Mercu Buana University and Binus Graduate Program - Doctor of Computer Science Jakarta Indonesia Binus Graduate Program - Doctor of Computer Science Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

The Google Sheets is a cloud technology part of Google Drive. Google Drive is a cloud operating system owned by Google's search engine. National Elementary School (SDN) to make a report book or Basic Education Databook (Dapodik) still use Microsoft Excel, which has the effect of delaying the delivery of report results to parents. This happens because to fill in the DAPODIK score must be filled by teachers who teach subjects in class. This study aims to provide knowledge to teachers in collaborating to fill DAPODIK and measure how reliable the delivery of material received by each teacher. Using the method of reliability Kuder Richardson KR-20 and KR-21 produces a value before the training on reliability values KR-20 = 0.6328, and KR-21 = 0.6000, after the training, the reliability values KR-20 = 0.5788 and KR-21 = 0.6231. From these results, it is known that the value after training for KR-21 has increased and according to the conventional correlation coefficient. In future research can be re-developed by making application system recommendations in determining teachers in schools to become instructors in accordance with the capabilities possessed based on the reliability testing results of the KR-20 and KR-21.

关键词： Reliability Training Google Testing Collaboration computer science Correlation

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A prototype of Baby Monitoring Use Raspberry Pi

A prototype of Baby Monitoring Use Raspberry Pi

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International Conference on ICT For Smart Society (ICISS)

作者： Aldy Rudyansyah Harco Leslie Hendric Spits Warnars Ford Lumban Gaol Tokuro Matsuo BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

The security system in monitoring the room or something suspicious activity that can cause crimes in the field of information and technology as in private homes is indispensable. Aims to keep valuables from theft and loved ones like babies from kidnapping or reducing the risk of an accident in an unguarded infant activity. The use of CCTV still has constraints because some functions are still done manually such as should always move the record of the CCTV data every day to different memory so that there is waste in using memory. Moreover, the position of the camera can not be adjusted freely in the placement so that it can easily be destroyed by irresponsible people, and also ordinary CCTV needs electricity that is considerable in its use. This research is done to improve and facilitate the process of monitoring of baby activity and the room where the baby is called sleep or rest, all monitoring activities can be done using only a Web browser that can be accessed by a smartphone or desktop. The monitoring system is created using a program called RPi Cam that is installed on the Raspberry Pi with a Raspberry Camera module as a monitoring camera and a DHT22 sensor module as a room temperature monitor.

关键词： Cameras Monitoring Temperature sensors Pediatrics Temperature measurement Security Tools

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The Implementation of Isolated Geothermal Grid on the Community Cuisine Learning in Rural Area in North Sumatera

The Implementation of Isolated Geothermal Grid on the Commun...

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International Conference on ICT For Smart Society (ICISS)

作者： Ford Lumban Gaol Meyliana Winanti Harjanto Prabowo Fonny Hutagalung BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Jalan Universiti Kuala Lumpur Wilayah Persekutuan Malaya University Kuala Lumpur Malaysia

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

Hutajulu is a village of 450 households with a minigrid supplied solely by a 45kW geothermal system. The problems that happened is the very low performance of the grid interactions between energy use and grid operating practices when the areas are in the dry season. We also found that the weak. We use the approached with the Design Research that will adopt for modelling approached of the experiment on the Grid performance. The experiment results are shown that to reduce the consumption of the firewood for eight households, we adopt four types of electric cookstove that use the geothermal. We also investigate the interaction between the electric cookstove and the power system. We also found that The effects of the power system and the electric stoves on the cooking preferences is also revealed.

关键词： computer science Generators Maintenance engineering Turbines Resistance heating Medical services Energy consumption

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A Hybrid Particle Swarm Optimization with Crossover and Mutation of Genetic Algorithm for Solving the Wide Constraint Problem

A Hybrid Particle Swarm Optimization with Crossover and Muta...

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Herlawati, H. Heryadi, Yaya Lukas, L. BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Cognitive Engineering Research Group Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta12930 Indonesia

ISBN: (纸本)9781728158624

When optimizing the spatial data, a lot of constraints should be handled. Some constraints might be too wide for a metaheuristic algorithm, e.g. particle swarm optimization, to allocate the candidate locations outside a wide constraint. However, particle swarm optimization notably has fast computation characteristic and many researchers used this method for optimizing their spatial data. In the other hand, genetic algorithm has not only better exploitation-characteristic performance in searching but also has mutation and crossover that was proven in this study can be overcome the wide constraint problem. To minimize the drawback of genetic algorithm, i.e. need many computation resources, the hybrid particle swarm optimization with genetic algorithm through the use of crossover and mutation was used. Half of lower fitness values from particle swarm optimization were optimized using crossover and mutation in genetic algorithm. After merging the results of both methods, the optimum location showed that the proposed method was able to allocate the land use in a case study area outside the wide constraint. © 2019 IEEE.

关键词： Genetic algorithms

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The Impact of the COVID-19 Pandemic in Indonesia (Face to face versus Online Learning)

The Impact of the COVID-19 Pandemic in Indonesia (Face to fa...

引用

Vocational Education and Electrical Engineering, International Conference on

作者： Dina Fitria Murad Rosilah Hassan Yaya Heryadi Bambang Dwi Wijanarko Titan BINUS Online Learning Bina Nusantara University Jakarta Indonesia Center for Cyber Security Faculty of Information Science & Technology Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728174341

ISBN: (纸本)9781728174358

Covid-19 pandemic is an international disaster that is experienced by almost all countries in the world. This has an impact on all lines of the life of each country. Among them is the education sector. Aside from efforts to solve this co-19 problem, the state must continue to maintain the stability and sustainability of the learning process that is the right of all citizens. Indonesia experienced the same thing. face to face learning “shock” and immediately take the fastest action by utilizing existing technology, but not all of them are ready. Using survey methods and adopting the theories of Delon and McLean, this study aims to determine the readiness of organizers, lectures, and students for current conditions, their readiness in undergoing the learning process while maintaining the quality of education and user satisfaction (instructors and students) towards learning. The results of this study prove that we all tend to be unprepared but strangely, on the other hand, the fact is that the positive things from this pandemic prove that education practitioners in Indonesia are better prepared by online learning because they are more comfortable and satisfied with online learning while supported by the government and a good system (96% of respondents) compared to face to face (4% of respondents).

关键词： COVID-19 Pandemics Education Media Tools Sustainable development Faces

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Mobile Application for Tire Sensor as Implementation Internet of Things in Transportation 7

Mobile Application for Tire Sensor as Implementation Interne...

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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Pranatta, Bravio Carstensz, Jonathan Jihanda, Michael Liundi, Nicholas Warnars, Diana Teresia Spits Warnars, Harco Leslie Hendric Spits School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia School of Information System Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

This paper headed to the role of the Internet of Things in transportation life and as one of an important thing, the Internet of Things (IoT) is getting grow and grow every day. Slowly but sure, IoT enters our experience in all things. Different visions of this IoT are reported and enabling technologies reviewed. What appears is that still significant issues must be faced by the research community. The technology that relates to IoT is still in development until now, and soon it will be used in human life. IoT embraced people to bring welfare and efficiency for every activity, played the role of technology development;IoT also shows people to think and invent more technology for every application such as vehicle and smart cities. Once it was implemented, the IoT will bring efficiency and make the activity more comfortable than before. The development of IoT also creates a vision for everybody, because it opens people's minds to technology development. Smart transportation will also be implemented in every city, and soon it will become a smart city. The efficiency and human development will pay the resources, technologies, contributions, and all works from scientists and researchers with transportation. © 2019 IEEE.

关键词： Internet of things

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Sport science Model to Support the Professional Sports Organization Decision Making

Sport Science Model to Support the Professional Sports Organ...

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International Conference on Information Management and Technology (ICIMTech)

作者： Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda Arsyan Syahir School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

The role of information technology in sports organizations is important to analyze all aspects including how to win in the competition based on various internal and external factors. The approach that used to enhance the sports organizations is sports science, which is a concept that contributes to the development of athletes by collaborating in many fields and studies, such as anatomy, physiology, psychology, engineering, chemistry, etc. The approach of Sport science articulates the technology that blended on all of the approached. Currently, the use of sports technology or science in Indonesia is also very low in all sports categories. Usually, the management and coaches look at player statistics based on manual data or reports to view player statistics periodically. There is still a lack of exploration to use player statistics to be used by coaches to improve the ability of the players and the organization. This research will propose how to develop sports science with a business intelligence approach that used the Kimball data mart approach as decision support in the field of sports so that management and coaches can apply the correct approach to improve the capacity of players and organizational development. The result of this study will provide the model of sports science that can be implemented for a professional sports organization in Indonesia.

关键词： Business intelligence Decision making Tools Companies

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Improving Rice Productivity in Indonesia with Artificial Intelligence 7

Improving Rice Productivity in Indonesia with Artificial Int...

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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Liundi, Nicholas Darma, Aditya Wirya Gunarso, Rivaldi Warnars, Harco Leslie Hendric Spits School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

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. © 2019 IEEE.

关键词： Productivity

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