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Evaluation Model for the Implementation of Information Technology Service Management using Fuzzy ITIL

Procedia computer science 2019年 157卷 290-297页

作者： Rudy Yandri Suharjito Ditdit Nugeraha Utama Amalia Zahra Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Information technology (IT) service management is an essential part for development of a company’s IT. This case study discusses how to convalesce IT services using the information technology infrastructure library (ITIL) framework and measure service level management (SLM) using Fuzzy ITIL (FITIL) approach. This paper aims to obtain an appropriate model for the measurement of IT service management by using fuzzy approach. Besides that, this paper aims to be able to provide an improving recommendations and IT governance based on current value (as is) and expected value (to be). The research method functioned is by measuring maturity level using best practice of ITIL v3 to condition before and after of improving process based on a questionnaire that has been performed. After obtaining the value of the maturity level for each cycle within ITIL, then the value will be created as an input for FITIL. The manufacture of FITIL is done in 4 stages, namely fuzzification, knowledge base, inference, and defuzzification. The results of the conditions before and after of the improving process have been successful in increasing the level of maturity in each ITIL cycle. The case study indicates an improvement in the increased level of maturity in SLM with FITIL approach.

关键词： Fuzzy Logic ITIL Maturity Level

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Early Detection of Diabetes Mellitus using Feature Selection and Fuzzy Support Vector Machine

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Procedia computer science 2019年 157卷 46-54页

作者： Rian Budi Lukmanto Suharjito Ariadi Nugroho Habibullah Akbar Computer Science Department Binus Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The number of patients that were infected by Diabetes Mellitus (DM) has reached 415 million patients in 2015 and by 2040 this number is expected to increase to approximately 642 million patients. Large amount of medical data of DM patients is available and it provides significant advantage for researchers to fight against DM. The main objective of this research is to leverage F-Score Feature Selection and Fuzzy Support Vector Machine in classifying and detecting DM. Feature selection is used to identify the valuable features in dataset. SVM is then used to train the dataset to generate the fuzzy rules and Fuzzy inference process is finally used to classify the output. The aforementioned methodology is applied to the Pima Indian Diabetes (PID) dataset. The results show a promising accuracy of 89.02% in predicting patients with DM. Additionally, the approach taken provides an optimized count of Fuzzy rules while still maintaining sufficient accuracy.

关键词： Diabetes Mellitus Feature Selection Fuzzy Logic Support Vector Machine

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Sleep Quality and Daily Activity Association Assessment From Wearable Device Data

Sleep Quality and Daily Activity Association Assessment From...

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International Conference on Information Management and Technology (ICIMTech)

作者： Bharuno Mahesworo Arif Budiarto Alam Ahmad Hidayat Haryono Soeparno Bens Pardamean Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Having good sleep is important to maintain physical and mental health. However, many young adults suffer poor sleep due to work or academic demands. Even more, sleep is associated with stress which is many young adults experienced it. To solve this problem, many epidemiologic studies suggest that exercise may improve sleep quality. On the other hand, several studies show that daily activity has no association with sleep quality. In this study, we tried to find more evidence of whether the daily activity has an association with sleep quality or not. We used a commercially available wearable device to capture the subject's heart rate, step count and deep sleep duration for 7 months. Then we used linear regression, XGBoost, and Long Short-Term Memory to find an association between these variables. The results show that there was no association between these variables.

关键词： Sleep Heart rate Biomedical monitoring computer science Predictive models Bioinformatics Data science

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Transformative Sport science Using Social Media as a Collaboration Tool

Transformative Sport Science Using Social Media as a Collabo...

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International Conference on ICT For Smart Society (ICISS)

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)9781665404228

ISBN: (纸本)9781665404235

Sports science can have a significant and positive impact on coaches and athletes, as well as for the professional sports organization. According to this situation, more and more organizations are competing to implement sports science as the monitoring systems. Along with the development of technology, it becomes easier for humans to carry out their activities, including communication with each other. Advances in the field of communication technologies have led to the use of social networks to support all activity. With social media, all kinds of information that people want to search for can be found easily. Social networks have their uniqueness in their characteristics. Like LINE has free calling and video calling features, while Instagram has features like Instagram Story, where users can document their activities in the form of photos or recordings. By all the characteristics of social networks, it will support the activity of sports science. The methodology of this research focused on quantitative research based on the T-test approach. The result shows that social media involvement can significantly support collaboration in sports science, so it can increase people's motivation to interact with other participants in sport organizations.

关键词： Sports Social networking (online) Media Reliability Organizations Tools Information systems

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A Review of Recent Advancements in Appearance-based Object Recognition

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Procedia computer science 2019年 157卷 613-620页

作者： Gede Putra Kusuma Evan Kristia Wigati Edward Chandra Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Appearance-based object recognition can be used in various applications such as human-computer interface and information retrieval. Therefore, many researchers compete with others to present their best in object recognition. Since object recognition has been studied for a long time and encompassed diverse approaches, therefore a review of the latest works is needed. This paper aims to deliver the trends in object recognition researches focusing on instance recognition and foreground detection such as salient object detection and object detection as supporting methods. Covering 34 publications, we survey the approaches, methods, datasets, performance measure, and experimental results. We also present research challenges in object recognition which can be used as suggestions for future works. We hope that our work can provide an overview of the current trends for object recognition and foreground detection methods.

关键词： Instance recognition Fine-grained recognition Foreground detection Salient object detection Object detection

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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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The use of android smart phones as a tool for absences

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Procedia computer science 2019年 157卷 238-246页

作者： Benfano Soewito Fergyanto E. Gunawan Indra Permana Rusli Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480

One of the issues of current attendance system is not being able to record employees who working outside the office. This work discussed a solution designed to solve common operational project problems, especially in attendance and tasklist management activity in companies who has employee working outside of the office. Considering the number of employees who have to visit various places, conventional attendance system is no longer feasible as be the solution. Similar problem occured in tasklist management, with so many employees to manage in different places will make it difficult for Project Manager to assign task and monitor the progress. Based on the problems, solusion was then designed using SDLC Waterfall using the field research data. This research conclude that by using the proposed application, complexity can be reduced and effectiveness can be improved in performing day-to-day operational task and make sure that they can be monitored. Moreover, the number of employee who responsible to make reports of projects and attendance can be reduced about 50%.

关键词： Attendance system Android Smartphone HTML5 Mobile application

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Tourism recommender system using hybrid multi-criteria approach

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： M S P Maru'ao Suharjito Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia 11480

Traveling has become a part of life at the time of the current urbanization. The growth rate of the internet and the availability of information allows travellers to access tourist information easier and faster. However, the individual's ability to find the information that they want is not proportional to the complexity of the information. This research would like to develop a reliable tourism recommender system that is able to provide destination recommendations according to user preferences with a combination of several methods i.e., Content-based, Collaborative Filtering, Multi-Criteria ratings, Demographic and Ontology-based. This research aims to implement a recommendations system for tourism through mobile devices by using the Android operating system. The results of this research indicate that the Hybrid Multi-Criteria method is able to provide recommendations to the user in accordance with the user's personal preferences and history of previous user rating with the average precision is 0.7. Evaluation metric of each methods indicate the lowest RMSE 0.84 in Multi-Criteria.

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Applying mobility business intelligence concept in analyzing oil palm plantation productivity

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AIP Conference Proceedings 2024年第1期3026卷

作者： Andreas Wahyu Krisdiarto Irya Wisnubhadra Anzaludin Samsinga Perbangsa Teddy Suparyanto Bens Pardamean Faculty of Agricultural Technology STIPER Institute of Agriculture Yogyakarta Indonesia Informatics Engineering Department Atma Jaya Yogyakarta University Yogyakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia BDSRC Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia

The palm oil business employs almost 20 million people, generates USD 21 billion in revenue, and plays a vital role in Indonesia’s social economy. The Fresh Fruit Bunches (FFB) to Palm Oil Mills (POM) distribution system is one important aspect of fruit quality. Three steps are involved in getting Oil Palm FFB from the plantation to the POM. The first part of the procedure involves cutting FFB from the tree, the second stage involves gathering the fruit at a fruit collection point (FCP), and the third stage involves transporting the fruit to the palm oil mill (POM). As of now, the cost of the FFB transportation is still considerable, accounting for roughly 15% to 20% of the FFB pricing. The use of the Business Intelligence (BI) idea in the oil palm harvesting system is presented in this study as a foundation for creating web-based applications.

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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...

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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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