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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Surantha, Nico Wicaksono, Wingky R. Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University JI kebon Jeruk Raya No 27 Jakarta11480 Indonesia

This research aims to design and implement a home security system with the capability for human detection. The traditional home security system, i.e. closed circuit television (CCTV) can only capture and record the video without able to give warning feedback if there is any suspicious object. Therefore, an additional object detection and warning method is required if there is an intruder. The proposed design is implemented using Raspberry Pi 3 and Arduino, which are connected by USB cable. The PIR sensor is installed on the Arduino and the webcam is mounted on Raspberry Pi 3. The Raspberry Pi 3 is used to process inputs from received sensors and process images for human detection. The PIR sensor detects the movement around the sensor to activate the webcam to capture a picture. Then, the object recognition is performed using histogram of gradient (HoG) and support vector machine (SVM) to detect the suspicious object. If the suspicious object is detected, then alarm is activated to warn the house owner about the existence of intruder. The evaluation results show that it takes in average 2 seconds for proposed system to detect the intruder. It also shows that the system can successfully detects the intruder with accuracy of 89%. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Object recognition

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The data warehouse for down payment administration in the Constitutional Court of Republic of Indonesia 2

The data warehouse for down payment administration in the Co...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Girsang, Abba Suganda Isa, Sani Muhamad Adytiansya, Nanda Utomo, Oei Kurniawan Simarmata, Janner Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Universitas Negeri Medan Medan Indonesia

The Constitutional Court of The Republic of Indonesia is an institution which has authority to judge and examine constitutions. In this institution, each component has responsibility to manage their own finance and budgeting. Based on this case, they need a solution to summarize the amount and absorption of the budget in every component. This paper proposes a solution to design a data warehouse model to process and analyse the down payment administration data. The nine steps design methodology for developing data warehouse is implemented in this work. This paper aims to bring some benefit for The Constitutional Court, especially in form of information about down payment absorption for every component each year. The result is presented in form of pdf report and informative dashboard using data warehouse tools. © Published under licence by IOP Publishing Ltd.

关键词： Data warehouses

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Employing best input SVR robust lost function with nature-inspired metaheuristics in wind speed energy forecasting

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2020年第3期47卷 572-584页

作者： Caraka, Rezzy Eko Chen, Rung Ching Bakar, Sakhinah Abu Tahmid, Muhammad Toharudin, Toni Pardamean, Bens Huang, Su-Wen College of Informatics Chaoyang University of Technology Taichung City41349 Taiwan School of Mathematical Sciences The National University of Malaysia Bandar Baru Bangi Selangor43600 Malaysia Bioinformatics and Data Science Research Center Bina Nusantara University 11480 Indonesia Manado North Sulawesi91594 Indonesia Department of Statistics Padjadjaran University Jatinagor west java45363 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University and Computer Science Dept. BINUS Graduate Program-Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Taichung Veterans General Hospital Taiwan

Wind power has been experiencing a quick improvement. Without a doubt, wind is a variable asset that is hard to forecast. For instance, traditionally time series, extra holds are distributed to deal with this uncertainty. This paper presents a comparison of the performance of various Support Vector Regression (SVR) applied to short-term wind power forecasting. The analogy with BORUTA and multivariate adaptive regression splines (MARS) as judge best input and employ genetic algorithm and particle swarm optimization to find best parameter in Support Vector Regression with robust lost function. We measure the accuracy of this models by Symmetric means absolute percentage error (sMAPE) and we get the best model BORUTA-SVR-PSO with sMAPE 2.07155%. Moreover, we measure the energy conversion using Feedback Linearization Control (FLC). © International Association of Engineers.

关键词： Genetic algorithms

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Review Study of Business Intelligence to Support Strategic Decision Making

Review Study of Business Intelligence to Support Strategic D...

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International Conference on Electrical Engineering and Informatics, ICEEI

作者： Astari Retnowardhani Wahyu Sardjono Yaya Sudarya Triana BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Universitas Mercu Buana Jakarta Indonesia

In this era the business competition between regions and countries will be more stringent. One way to survive and improve its performance is through the management of information, it is necessary to be able to see and assess the company from a variety of perspectives. One of the keys to surviving and playing a role is to manage complete, fast and precise information. Data analysis will be easy if the required data is available. Business intelligence techniques (BI) can be used to assist in the decision-making process. Many organization and educational institution have implemented BI as the support system. Therefore, we make a comparison study about BI research finding from several articles. From the comparison study it can be seen the research in the BI field is continues to grow and also following the technology trend. This can be seen from the topics discussed in the journal articles in the period 2010-2017. This study is conducted to see the spread and trend of business intelligence research in various forms of organization. Also can be seen the advantages of BI in the decision-making process.

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Fuzzy ecoDSS Development for Road Traffic Engineering 3

Fuzzy ecoDSS Development for Road Traffic Engineering

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

作者： Nurlatifani, Sofie Retnowardhani, Astari Utama, Ditdit Nugeraha UIN Syarif Hidayatullah Information System Jakarta 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

ISBN: (纸本)9781538658215

A road traffic engineering (RTE) is realistically required to reduce the road traffic congestion (RTC) degree. The congestion negatively affects not only to economy and physiology factors, but also for human environment and health. This paper methodologically represents the development of ecological decision support system based on the concept of fuzzy logic (Fuzzy ecoDSS) for RTE. Three types of core method operated here;fuzzy logic, water flow algorithm (WFA), and object oriented. The method fuzzy logic used to avoid the fuzziness in parameterizing and prioritize the parameters. The WFA approach functioned to replicate the flow of road traffic and optimize it thru RTE. Finally, the method object oriented benefited to analyze and design the constructed system. Thus, the simulation result exhibits the best decision alternative taken gives better air condition (more 200% than normal condition) and better road traffic velocity (more 2,200% than normal situation). © 2018 IEEE.

关键词： Decision support systems

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Evaluation of Information Technology Governance in STMIK Mikroskil Using COBIT 5 Framework 3

Evaluation of Information Technology Governance in STMIK Mik...

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

作者： Nyonawan, Marwandy Suharjito Utama, Ditdit Nugeraha Computer Science Department STMIK Mikroskil Medan Indonesia Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

This paper describes the maturity degree evaluation of Information Technology Governance at Information System Centre (PSI) in STMIK Mikroskil to measure IT Governance and the success of IT-based facilities that cannot be measured yet. The evaluation measured by using Process Assessment Model (PAM) from Framework COBIT 5 which refers to the specified 10 domain process. Data is collected from 36 returned-questionnaire of 47 distributed-questionnaire. Data is analyzed using Framework COBIT 5, Slovin method is used to determine the number of valid data samples, and Rating Scale Formula operated to determine the scale of capability level for each selected domain. From the evaluation results known 1 domain has been achieved the expected capability that is DSS05 at Level 4, and other process domains still exist under the expected capability level, then the results are used to establish improvement recommendation based on Framework COBIT 5. © 2018 IEEE.

关键词： Surveys

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Systematic literature review on physical distancing policy for mass gathering events

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AIP Conference Proceedings 2022年第1期2472卷

作者： Asmahany Ramely Mohd Kamal Mohd Nawawi Ruzelan Khalid Antoni Wibowo Amalia Zahra 1School of Tourism Hospitality and Event Management Universiti Utara Malaysia 06010 UUM Sintok Kedah Malaysia 2Institute of Strategic Industrial Decision Modeling School of Quantitative Sciences Universiti Utara Malaysia 06010 UUM Sintok Kedah Malaysia 3Computer Science Department Binus Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The explosive spread of Corona Virus Disease-19 (COVID-19) in late December 2019, requires the health authorities worldwide to enforced stricter standard operating procedures (SOP) for mass gathering events, which eventually caused postponement and cancellation. This has led to a great loss and bankruptcy for most event organizers. As an effort to offer solution to this matter, a professional touch producing “soft landing” such as “Mathematical Modelling of Physical Distancing Policy for Mass Gathering Event Organizer” was proposed. Therefore, a holistic understanding about the issues related to physical distancing in mass gathering event is required. This systematic review paper summarizes current practice of physical distancing among mass gathering event organizers. This study reviewed thirteen articles using two leading databases namely Scopus and Google Scholar. Based on thematic analysis, this review finalized four themes: 1) physical distancing method; 2) the importance of physical distancing; 3) challenges in physical distancing enforcement and 4) approach to monitor the compliance of physical distancing.

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Fast and Effective Clustering Method for Ancestry Estimation

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Procedia computer science 2019年 157卷 306-312页

作者： Arif Budiarto Bharuno Mahesworo James Baurley Teddy Suparyanto Bens Pardamean Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 BioRealm LLC USA Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Ancestry estimation which provides family history information is one of the most popular services in direct-to-consumer genomic testing. It is also an important task which aimed to reduce the confounding by ancestry on the relationship of genotypes and disease risk in assocation studies. Several methods have been developed to generate the best ancestry estimated scores even though some of them are still facing inefficient computation time. In this paper, a combination method between KMeans clustering and PCA is proposed estimate ancestry estimation from SNP genotyping data. This method was compared with baseline model, called fastSTRUCTURE, in term of the quality of clustering and computation time. Public data from 1000 Genome project is used to train and evaluate the proposed model and the baseline model. The proposed model can successfully generate clusters with better accuracy than fastSTRUCTURE (91.02% over 90.39%). More importantly, it can boost the computation time until 100 times faster than fastSTRUCTURE (from 490 seconds to 4.86 seconds).

关键词： Ancestry Estimation Population Stratification Clustering Bioinformatics Genomics

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Comparing the Accuracy of Multiple Commercial Wearable Devices: A Method

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Procedia computer science 2019年 157卷 567-572页

作者： Bens Pardamean Haryono Soeparno Bharuno Mahesworo Arif Budiarto James Baurley Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 BioRealm LLC USA

To maintain a good fitness level, performing a minimum daily physical activity is important. Many people think that they have already met the suggested guidelines. However, most of them were wrong when they quantify their activity level using a personal activity tracker device. This problem indicates the need for personal physical activity tracker or wearable device to maintain the fitness level. However, as wide-range wearable devices available today, it is difficult to find the most suitable one regarding the price and quality. This paper proposes a study to explore the association between the quality and the price of the devices. The quality is evaluated by comparing the accuracy of the heart rate sensor and step counter of several wearable devices with the ground truth measurements. The test result is then analyzed using a series of statistical methods including, a paired t-test, Pearson’s correlation test, and Bland-Altman plot. Both t-test and correlation coefficient is used to plot the association between quality and price.

关键词： Wearable Device Fitness Tracker Correlation Heart Rate Step Counting Bland-Altman

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A therapy game for elementary students with ADHD

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AIP Conference Proceedings 2023年第1期2508卷

作者： Raymond Bahana Edi Abdurachman Ford L. Gaol Tjhin Wiguna Fonny Dameaty Hutagalung Bayu Prakoso Dirgantoro Eko Nugroho 1Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 2Faculty of Medicine Universitas Indonesia Depok Indonesia 3Department of Educational Psychology and Counselling Faculty of Education University of Malaya Kuala Lumpur Malaysia 4Graphic Design and New Media Prog. Visual Communication Design Dept. BINUS Northumbria School of Design Bina Nusantara University Jakarta Indonesia 5Kummara Bandung Indonesia

Children with Attention Deficit Hyperactivity Disorder usually have problem to express themselves. Using game as a therapy, they could reduce the problem. A recent study has revealed video games might be an alternative therapy for children with ADHD. This research is to analyze the data that was collected from a prototype game that has been developed and created. The game is created using Construct2. To collect data from the game, back-end web application was created using PHP and MySQL. Several data that have been used in this research paper are score, incorrect house, and incorrect fruit. Ten children with ADHD are involved in this testing, all children are elementary students and never receive any treatment for their ADHD. Before and after the testing, they have been tested by fMRI. The testing consists of 4 weeks of training sessions of about 20-30 minutes almost every day except Sunday or public holiday. Every session contains at least three tutorial or training tasks and four game tasks in a fixed order. In conclusion, the result showed the scores were better when the children with ADHD play with visual instruction rather than with audio instruction.

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