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

作者： Suwita, Jaka Kosala, Raymond Ranti, Benny Supangkat, Suhono Harso Bina Nusantara University Department of Computer Science Jakarta11480 Indonesia Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Bandung Institute of Technology Electrical Engineering and Informatics School Bandung Indonesia

ISBN: (纸本)9781728148809

The Internet of Things has a big influence on the appearance of new technologies in learning. Smart education is a learning concept that is developed by intelligent technology development. Therefore smart education must be able to provide an update of learning methods. Smart education must make it easier for users to interact and collaborate to make, organize, and share knowledge from anywhere and at any time accessible. In this paper, we conduct a Systematic Literature Review (SLR) research method to find out the features that exist in MOOCs in the era of intelligent education. This paper presents a comprehensive view of the development of MOOC features in the era of smart education in higher education. Our contribution is comprehensive information about MOOC features in the era of intelligent education in higher education, to improve the quality of learning, and possible use in practice. © 2019 IEEE.

关键词： Learning systems

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A Blockchain Technology-Based for University Teaching and Learning Processes

A Blockchain Technology-Based for University Teaching and Le...

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International Conference on Information Management and Technology (ICIMTech)

作者： Meyliana Cadelina Cassandra Surjandy Henry Antonius Eka Widjaja Harjanto Prabowo Erick Fernando Yakob Utama Chandra School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Contemporary, Indonesia is looking for an innovative solution to securing diploma certificate and transcript from forgery. Several cases had been reported due to the usage of a fake transcript. One modus of using fake transcript is to enter a higher level of education and job promotion. The new technology found called Blockchain believes in solving the problem. Characteristics of Blockchain Technology such as secured, immutable, distributed, transparent seem to be matched with transcript document requirement. Therefore, the research tries to create a process model of the university teaching and learning process. Several studies have been done; however, no detailed process shown especially for teaching and learning activities. The research question is, how are teaching, and learning activities can be supported by Blockchain Technology? Qualitative method used in this research, focus group discussion with 9 reputable universities discussed the academic operation process and the result show that it is possible to adopt Blockchain Technology into the teaching and learning process to avoid forgery of university transcript documents.

关键词： Education Forgery Reliability Information management Contracts

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Innovation Architecture Smart Car Parking System with Wireless Sensor Networks

Innovation Architecture Smart Car Parking System with Wirele...

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International Conference on Information Technology, computer and Electrical Engineering (ICITACEE)

作者： Erick Fernando Harco Leslie Hendric Spits Warnars School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728172262

ISBN: (纸本)9781728172279

Nowadays, the number of cars is increasing every year, with the number of cars increasing, the parking areas will be limited. If parking areas can take more space in a town/place, it will be good for the town itself because nowadays the problem is either no parking space or too much parking space which is not suitable for human space. Moreover, because our population keeps going up and space is reducing even, we have to cut the forest to make space for parking lots, which is not suitable for our ecosystem. The number of cars itself also increasing each year, which is so problematic in road and infrastructure management. To fix this, we need to have a sound management system for maximizing the use of available space in town and minimizing the traffic in the road. The problem nowadays is a roaming car that searching for parking space and making road traffic and making massive pollution for the town. When a car searching for a parking slot inside a building that is crowded, it will go around the parking lot, and there will be traffic inside the parking lot because many cars will queue searching for empty parking slots. This means that the driver will also waste many fuels, which is not suitable for the ecosystem. Since this problem has not been fixed yet and the population is increasing each year, and a new way of driving and parking system is required, we want to propose a new system that uses the processor board, wireless sensor network to fix the problem.

关键词： Wireless sensor networks Roads Sociology Automobiles Fuels Statistics Vehicles

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FHC-Optimization Model for Deciding the Objective Hajj Pilgrims to Restricted Quota (Case Study: Hajj Pilgrimage Procedure in Indonesia) 1

FHC-Optimization Model for Deciding the Objective Hajj Pilgr...

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1st International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019

作者： Utama, Ditdit Nugeraha Faturrahman, Muhammad Rusdi, Methamazid Saputra, Ibnu Yahya Isnaeni, Fuji Suci Waspodo, Bayu Computer Science Department BINUS Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System UIN Syarif Hidayatullah Jakarta Indonesia

ISBN: (纸本)9781538684481

In Indonesia, owing to limited quota, Hajj pilgrim determination to go to Mecca is a challenging activity to realistically do. The registered candidates of Hajj pilgrim cannot become Hajj pilgrims all 100%, several of them have to wait in list until years. Based on scientific view, this study was conducted. The objective of study is to construct a computer model based on optimization conception to objectively clarify the current-year Hajj pilgrims. By methodically employing the hill-climbing (HC) method in optimizing process and also applying fuzzy-logic concept in parameterizing parameters, a scheme of 'double-stages fuzzy hill climbing (FHC) optimization' was constructed. Through bearing in mind seven selected parameters, the Hajj pilgrims in restricted quota were determined. The paper provides the detailed configuration of an optimization schema and constructed model. It also delivers the constructed model's simulation result regarding the determined 155,200 Hajj pilgrims (according to 2016 Indonesia Hajj pilgrim quota) for 33 Indonesias provinces from more than 220 thousand dummy (experimental) data of Hajj pilgrim candidates. © 2019 IEEE.

关键词： Optimization

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Research Square

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Research Square 2020年

作者： Gaol, Ford Lumban Matsuo, Tokuro Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Advanced Institute of Industry Technology Tokyo Japan

Introduction: Social Big data is generated by interactions of connected users on social network. Sharing of opinions and contents amongst users, reviews of users for products, result in Social Big data. If any user intends to select product such as movies, books etc. from e-commerce sites or view any topic or opinion on social networking sites, there are a lot of options and these options result in information overload. Case Description: Social recommendation systems assist users to make better selection as per their likings. Recent research works have improved recommendation systems by using matrix factorization, social regularization or social trust inference. Furthermore, these improved systems are able to alleviate cold start and sparsity but not efficient for scalability. Discussion and Evaluation: The main focus of this paper is to improve scalability and provide better recommendations to users with large-scale data in less response time. We have partitioned social big graph and distributed it on different nodes based on Mahout and PowerGraph like system. Conclusion: In our approach, partitioning is based on direct as well as indirect trust between users and comparison with state-of-the-art approaches proves that statistically better partitioning quality is achieved using our approach. In our proposed approach ScaleRec, hyperedge and transitive closure are used to enhance social trust amongst users. Experiment analysis on standard datasets proves that better locality and recommendation accuracy is achieved by using our proposed approach. © 2020, CC BY.

关键词： Data Analytics

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Blockchain Technology Open Problems and Impact to Supply Chain Management in Automotive Component Industry

Blockchain Technology Open Problems and Impact to Supply Cha...

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

作者： Surjandy Meyliana Hareco Leslie Hendric Spits Warnars Edi Abdurachman School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The study of the adoption of Blockchain Technology (BT) of the Supply Chain Management System (SCMS) automotive components industry still in infancy. BT's previous research topic mostly in virtual currency, security, and IoT. However, the automotive market's significant development causes several issues in the SCMS automotive components industry, such as fake components. Blockchain Technology (BT), as identified, might be possible as a way out for the development of SCMS automotive components. There are several research questions in this research, such as how BT can facilitate SCMS open issues? What is the BT impact in the SCM area? The study method used the systematic literature review (SLR) method to gather all information from 12 publishers and an international index journal. Seven open issues identified in this study and SCM's core operational aspect, such as supplier, logistics, manufacturer, distribution, and customer, have been identified impact with BT.

关键词： Industries Supply chain management Manufacturing processes Systematics Blockchain Tools Security

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A Blockchain Technology-Based for University Student Enrollment Process

A Blockchain Technology-Based for University Student Enrollm...

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

作者： Meyliana Surjandy Erick Fernando Cadelina Cassandra Henry Antonius Eka Widjaja Yakob Utama Chandra Harjanto Prabowo School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

University in Indonesia contemporary is looking for a solution to improve the university documentation such as certificate and transcript. But fake diploma certificate and transcript is an issue reported in several articles recently. The new technology called Blockchain has been elaborate and predicted can be used to solve the issue because of blockchain characteristics which are immutable, secure, tamperproof and unchangeable. The enrollment process is one of the vital process for university before the document can be made. Therefore, the research tries to elaborate deeply to create a model of the university student enrollment process. The research question of this research is how Blockchain Technology can be merge in the enrollment process? The model has been validated by several universities in Indonesia. Forum Group Discussion had been performed to discuss for enrollment process. In the end, many benefits come up from blockchain technology utilization to produce a reliable document such as diploma certificate and transcripts.

关键词： Government Blockchain Documentation Companies Forgery Reliability

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The Effect of Several Kernel Functions to Financial Transaction Anomaly Detection Performance using One-Class SVM

The Effect of Several Kernel Functions to Financial Transact...

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Heryadi, Yaya Dandalina, D. Bina Nusantara University Computer Science Department Jakarta11530 Indonesia Master of Information and Technology Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728158624

Anomalies in data become ubiquitous and often unavoidable. Despite it might be caused by various errors during the data collection or transportation, some anomalies potentially give important information such as indication of a new underlying process. The aim of anomaly detection task is to determine all such instances in the input dataset in a data-driven fashion. In the past decade, the proliferation of anomaly data in many domains have raised research interest resulted in a plethora of anomaly detection methods A vast number of previous study reports suggested that there is no single model will achieve the best performance for every dataset. This paper presents empiric results on the effect of several kernel functions to performance of One-Class Support Vector Machine (OC-SVM) as an anomaly detector model. The proposed model is tested using financial transactions of microfinance service dataset from an Indonesian Bank. The empiric results showed that OC-SVM model with Sigmoid and RBF kernels achieve the best statistically significant value of training, validation, and testing accuracies than the OC-SVM model with no-kernel, linear kernel and polynomial (degree 3,4,5,6) kernels. © 2019 IEEE.

关键词： Anomaly detection

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A literature review of crowd-counting system on convolutional neural network

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

作者： A Chrysler R Gunarso T Puteri H L H S Warnars Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480

With the proliferation usage of video surveillance for safety, traffic control, and privacy purposes and with the constant growth of population, it is important to keep monitoring using Closed-Circuit Television (CCTV). With new upcoming developed technologies, new systems and algorithms are introduced and implemented to the crowd counting system today retrieving live video surveillance from the CCTV. However, recent studies show that there are some challenges still faced regarding the crowd counting system which uses the density estimation. The problems that occurred have resulted from the inaccuracy of the system that is caused by several factors. Factors such as the perspective distortion which is caused by the lack of data training and the method such as face detection is an ineffective method to determine the population density. Studies proposed have projected the idea of developing a more robust crowd counting methodology by implementing crowd counting by detection, clustering, and regression. Implementing these methods using the Convolutional Neural Network (CNN) will better the result of the detection since in CNN the image can be inputted and it will undergo several layers which will result in the system being able to differentiate one image from the other. With CNN the process of crowd counting will be able to be more advanced.

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*** as digital platform for vegetation analysis and estimation of carbon stock in KEHATI aqua park

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AIP Conference Proceedings 2024年第1期3026卷

作者： Nanda Satya Nugraha Dian Pratama Putra Mohammad Prasanto Bimantio Amallia Ferhat Rama Zakaria Rudi Nirwantono Teddy Suparyanto Bens Pardamean Faculty of Forestry Institute of Agriculture STIPER Yogyakarta Indonesia 55282 Faculty of Agriculture Institute of Agriculture STIPER Yogyakarta Indonesia 55282 Faculty of Agricultural Technology Institute of Agriculture STIPER Yogyakarta Indonesia 55282 PT. Tirta Investama Pabrik Klaten Klaten Central Java Indonesia 57474 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 1148 Biotechnology Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

KEHATI AQUA Park is one of the green areas managed by PT. Tirta Investama Klaten (Klaten Factory). This area is located in Wangen and Ponggok Villages, Polanharjo District, Klaten Regency, Central Java, and is an integral part of the company’s seriousness in carbon reduction movement. When maintenance of the area is important for the sustainability of the park, there is however no data on the trees inventory in the area. Therefore, this study aims to invent the trees at KEHATI AQUA Park and evaluate the potential of the area to become a carbon sink using *** application. This study was conducted at the KEHATI AQUA Park. The census method was performed to collect tree data, and the result was recorded in *** application. The carbon stock calculation was estimated using the application according to the tree data submitted in the application. The study included a total of 1048 plantation spots in 51 tree species. From those numbers, about 738 trees existed, and the remaining spots were blank spaces. Based on the condition of the trees, those were 660 good trees, 17 dry trees, and 61 under pest infection. The carbon stock estimation at KEHATI AQUA Park Klaten in the next five years (2026) is around 40 tons of carbon. Therefore, it can be concluded that the park is valuable as an area to preserve biodiversity and as a carbon sink.

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