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IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Suzanna Suzanna Sasmoko Sasmoko Ford Lumban Gaol Tanty Oktavia Tokuro Matsuo BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781728173986

With the sudden attack of the Corona Virus Disease 2019 (COVID-19), some 300 million children in the world have been forced to study at home because of the mass closure of schools that began on March 18, 2020. This has caused many obstacles in the teaching and learning process. Every effort is made to minimize the COVID-19 pandemic while ensuring the teaching and learning process is not interrupted. If the school closures too long and the child is trapped inside the house this will have a negative impact on the physical and mental health of the children. This situation makes parents become worried and look for alternative education in addition to formal schooling for their children. Of the various types of education offers that exist homeschooling or commonly known as home-based learning provides a way out for the current situation. Now children are quarantined in their homes and they will return to school once this epidemic fades. But with this disaster, parents' views on homeschooling or home-based learning can be different from before. They may still be marked if home-based learning can be a long-term education. With the existence of COVID-19, most parents might finally realize that education without formal schooling is not a crisis but an opportunity to take their children to a better future. This research was conducted by utilizing a descriptive qualitative method and within the descriptive qualitative method, the concept of document analysis would be utilized the most. It was expected that the results of this research would explore what type of technology parents could prepare for their children to use to initiate home-based learning.

关键词： COVID-19 Pediatrics Text analysis Pandemics Education Government Mental health

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Learning Pairwise Preferences from Movie Ratings 7

Learning Pairwise Preferences from Movie Ratings

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7th International Conference on ICT for Smart Society, ICISS 2020

作者： Qomariyah, Nunung Nurul Fajar, Ahmad Nurul Bina Nusantara University Faculty of Computing and Media Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9781665404228

Preference Elicitation is now considered a crucial stage in recommender system. That is the stage where we collect and query preferences of the users as part of interactive decision support system. Preference elicitation can be performed using many ways, such as asking the user explicitly to give ratings or feedbacks for some products, or implicitly observing their behaviour. Once this preference has been collected by the system, it can then be used to generate item recommendation. Using explicit feedback itself, such as rating only, has several drawbacks. Using ratings is very subjective. Two users with similar taste might give different rating to the same item. A user also may not be consistent in giving number to express their liking. In other case, a user may like an item more than the other items, but feels difficult to give lower rating on the other item, because it means that the particular item is just as bad as the one he/she does not like. By showing two different items as a pair, it will be easier for the users to pick which one is the best. In this paper, we show the result of our experiment in predicting user pairwise preferences by using their movie ratings data. We evaluated five different machine learning algorithms to predict the data in pairwise preference format. The result shows that K-Nearest Neighbour and Random Forest outperformed the other algorithms. © 2020 IEEE.

关键词： Recommender systems

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Big Data Governance for Building A Smart Cities 10

Big Data Governance for Building A Smart Cities

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

作者： Zulkarnain, Novan Kosala, Raymond Ranti, Benny Supangkat, Suhono Harso Bina Nusantara University Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Universitas Indonesia Computer Science Department Depok16424 Indonesia Institute of Technology Bandung School of Electrical and Informatics Engineering Bandung40132 Indonesia

ISBN: (纸本)9781728148809

There have been many studies conducted related to Smart City, IT Governance and Big Data. In this study aims to find out how the relationship between the three and how to form a framework to explain it. The methodology used is qualitative by looking for some literature on smart city framework, IT Governance framework, and a Big Data framework. From these results, an overall picture of the relationship between the three is concluded, where Big Data has a role in IT Governance. and also the relationship of IT Governance to the realization of Smart City. And the final results of this study produce a framework to explain the relationship between Smart City, IT Governance and Big Data. © 2019 IEEE.

关键词： Big data

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The by-product of oil palm dosage application on Turnera subulata growth supports water supply

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AIP Conference Proceedings 2024年第1期3026卷

作者： Pauliz Budi Hastuti Gilang Tri Anggara Wiwin Dyah Ully Parwati Teddy Suparyanto Digdo Sudigyo Bens Pardamean Faculty of Agriculture STIPER Institute of Agriculture Yogyakarta Indonesia 55281 Faculty of Agricultural Technology STIPER Institute of Agriculture 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 Program Bina Nusantara University Jakarta Indonesia 11480

Plant growth with complex organic matter content can be enhanced by using oil palm by-products. These organic materials can maintain the water supply in the plant body. Therefore, in oil palm plantations with significant groundwater consumption, organic matter’s the ability to sustain water availability. Caterpillars that devour palm leaves are among the numerous pests that threaten oil palm plantations. Predators of leaf-eating caterpillars use the holly rose flower (Turnera subulata) in oil palm farms as a habitat. Therefore, the effect of the type and dose treatment of oil palm by-products on the growth of Turnera subulata was observed to support sustainable water management in oil palm plantations. The research was carried out using a factorial design arranged in a Completely Randomized Design (CRD) consisting of two components: the type of palm oil mill by-product (boiler ash, empty bunches, and solid) and the dose of a by-product (% volume) consisting of four dosages (0, 25, 33, and 50% volume). The research data were analyzed using variance at the 5% test level. A DMRT test at the 5% test level was conducted on the treatment that had a significant effect. The growth of Turnera subulata was most positively impacted by a solid application dose of 50% volume. Turnera subulata plants responded the least favorably to the application of empty bunches in any dose treatment.

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Multiple-Clustering Comparison in Spatial Data for Additional Accuracy Measurement in Land-use Classification 4

Multiple-Clustering Comparison in Spatial Data for Additiona...

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4th International Conference on Informatics and Computing, ICIC 2019

作者： Herlawati Heryadi, Yaya Hendric Spits Warnars, Harco Leslie Gaol, Ford Lumban Abdurachman, Edi Soewito, Benfano Bina Nusantara University BINUS Graduate Program Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728122076

Satellite imageries have been widely used to analyze a region by planners. Data from the satellite usually have lower accuracy than other expensive methods e.g. drone, aerial view, etc. However, the data from satellite have wide range area and sufficient enough for modeling a land use. The accuracy assessment, therefore, becomes a vital task to ensure the model from the satellite imagery meets the minimum requirement. Validating the classification result by comparing to the real location or by other higher resolution images is needed. The paper proposed additional validation by comparing the classification result by another result in different date through the cross-tabulation method. Two satellite imageries in the same year were processed before classification to get the land-use and land-cover classification. Comparing two land-use classified images gave the accuracy statistics using cross-tabulation. The kappa statistic and accuracy showed the classification performance of 0.7592 that similar to the sampling-based accuracy assessment (0.75390). Therefore, the proposed method was appropriate as the accuracy assessment. © 2019 IEEE.

关键词： Satellite imagery

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System Architecture and Dataset ASEAN Entrepreneurship Profiling Website

System Architecture and Dataset ASEAN Entrepreneurship Profi...

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International Conference on Computing, Engineering, and Design (ICCED)

作者： Yasinta Indrianti Sasmoko Mohd Khairuddin Bin Ramly Fredy Purnomo Entrepreneurship Department Universitas Agung Podomoro Jakarta Indonesia Management Department Business School Undergraduate Program BINUS Jakarta Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia Business Administration Department Universiti Teknologi Malaysia Johor Bahru Malaysia Computer Science Department Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781665453905

Entrepreneurship has proven to be one of the important factors that can increase economic capacity in every country, especially in ASEAN countries. Therefore, a special study is needed in accordance with various indicators of entrepreneurial success in the context of ASEAN countries. This study resulted in an instrument in the form of ASEAN Entrepreneurship Profiling which was developed through technology-based applications. Through this application, the instrument was developed to make it easier for entrepreneurs to fill out a profile so that it automatically becomes part of a self- assessment to produce a profile of the entrepreneurial condition experienced. The development of this application is based on the system architecture and system dataset as an important step in application development. The architectural system in the application is carried out in a planned manner so that the website developed does not only function technically but also has aesthetic value. While the data set in this application is needed because of the incoming respondent data, a database is needed to be a source of data that can be processed based on the entrepreneur's personal profile, based on region and based on country of origin. Processing data individually or in combination as a single unit requires the right data structure. Therefore, this study aims to develop the system architecture and application dataset of ASEAN Entrepreneurship Profiling. The research method used is a combination of survey methods and prototype methods to be able to present architectural systems and datasets that are both appropriate and attractive. The survey was conducted to calibrate the instrument to be used. The result of the research is that the instrument produces 16 valid items which are used as the basis for system development and an overview of the system architecture and dataset of the ASEAN Entrepreneurship Profiling application.

关键词： Economics Databases Instruments Entrepreneurship Systems architecture Prototypes Data structures

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Mobile game Application for Religion engagement

Mobile game Application for Religion engagement

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Kristiadi, Dedy Prasetya Vindy, V. Sambera, Richard Julianto, Andy Warnars, Harco Leslie Hendric Spits Hashimoto, Kiyota STMIK Raharja Computer Systems Department Tangerang15117 Indonesia Game Application Technology Program School of Computer Science Bina Nusantara University Computer Science 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 Faculty of Technology and Environment Prince Songkla University Phuket Campus Thailand

ISBN: (纸本)9781728158624

Religion is a part of a fundamental human right to serve and worship their God according to their religion and belief. Mobile game application along with the development of mobile phone technology such as a smartphone, tablet, and laptop, can be used to increase the player or user interest to engage with religion thing. Using the mobile game application in mobile gadgets will expand quickly to install and use for religion engagement. The player can learn religion things with fun and entertain ways, where the player does not realize that they do something serious in an unserious way. This paper will explain the model system design for mobile game application for learning Catholicism in fun and entertaining way and for the first development was limited to only three Catholic catechisms such as bible learning, church lesson, and liturgy celebration. For the early development, three types of games were developed such as True or False game, Scramble words game, and multiple-choice game. The mobile game model was designed with a use case diagram, storyboard, and class diagram, where for the current implementation the mobile game application was implemented using a ten tables database. © 2019 IEEE.

关键词： Serious games

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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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MEC deployment with distributed cloud in 4G network for 5G success 6

MEC deployment with distributed cloud in 4G network for 5G s...

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6th International Conference on Information Technology, computer and Electrical Engineering, ICITACEE 2019

作者： Hairuman, Andika Zahra, Amalia Kusuma, Gede Putra Murad, Dina Fitria Bina Nusantara University BINUS Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9781728126890

The purpose of this paper is to understand the deployment model of MEC with distributed cloud in 4G network before rolling out 5G and make the most successful deployment without creating conflict with NFV as part of digital transformation. MEC brings flexibility and agility to meet the application demands of low latency, high reliability with high scalability, bandwidth and battery savings. It explains few reasons why MEC should be adopted before 5G deployment and what would be the benefits for all the actors like operators and public cloud service providers. MEC architecture is designed by ETSI and there are some known challenges with MEC use scenarios like AR/VR, IoT and connected vehicles. MEC offerings few deployment options which available for 4G and take that deployment model as a reference for MEC deployment on 5G include the migration options. This paper provides list of recommendations for key successes deploying MEC in 4G network and 5G and help the stakeholders understand the way to realize the MEC benefits. © 2019 IEEE.

关键词： Distributed cloud

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eWOM content on a digital tourist destination platform that can motivate tourists to come

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AIP Conference Proceedings 2023年第1期2510卷

作者： Kukuh Lukiyanto Etsa Astridya Setiyati Choirul Huda Albert Verasius Dian Sano Azizah Bte Ismail Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia. Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Real Estate Department Faculty of Built Environment University Teknologi Malaysia Malaysia

The role of the Electronic Word of Mouth (eWOM) in the tourism industry is increasingly irreplaceable as has been discussed in many studies related to tourist destinations. However, the discussion regarding eWOM content on the tourist destination digital platform has not been widely discussed. More specifically, content can motivate other tourists. This article aims to explore eWOM content that can motivate tourists to come to a tourist destination. Ten tourists who came to the tourist destination because they were encouraged by the eWOM they read, were offered to be informants and conducted in-depth interviews. The results of this study show that eWOM which contains tourists’ emotions and explorations written on a digital platform is the main reference for potential tourists. These findings can be used to develop a digital content platform owned by a tourist destination. The positive emotions and exploration contained in eWOM will have positive implications for the marketing and management objectives of the platform.

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