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Enhancing Historical Learning Using Role-Playing Game on Mobile Platform

Procedia computer science 2021年 179卷 886-893页

作者： Gede Putra Kusuma Louis Khrisna Putera Suryapranata Evan Kristia Wigati Yesun Utomo Computer Science Department Binus Graduate Program – Master 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

Learning history means to learn what caused the world around us to become the way it is right now. For decades, historical events were recorded and taught to younger generations to learn from them. However, most students found that learning history is boring because they could not feel or understand the moment of those historical events. This paper aims to investigate how a game-based learning approach influences the achievement and motivation of historical learning through a mobile learning environment. We propose game-based historical learning using the role-playing game on a mobile platform. The implementation is based on the history of the first army general in Indonesia, General Sudirman. The game was tested to 63 Junior High School students in Jakarta. Based on the evaluation, using the game can increase student learning motivation and learning achievement.

关键词： Game-Based Learning Historical Learning Role-Playing Game Mobile Platform Statistical Analysis

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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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Use case point as software size measurement with study case of Academic Information System

Use case point as software size measurement with study case ...

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2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017

作者： Safrizal, S. Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Abdurachman, Edi Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia Faculty of Technic Satya Negara Indonesia University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

Academic Information System at Satya Negara Indonesia university (USNI) was developed since 2008 and as major systems required for the processes of academic activities process, which support the teaching learning process activities. The Academic information system serving students carry out lectures and gain value in the form of cards in each semester of study results. In order to rebuilding this system the current system will be measured with Use Case Point (UCP) in order to help management when extend the current Academic Information System. UCP will help the management when making their decisions regarding with the development of system in term of time, people and money. Measurement software using the UCP in Academic Information Systems of Satya Negara Indonesia university has score Use Case Point (UCP) = 86.864 and categorized as small software size project which is smaller than 99. © 2017 IEEE.

关键词： Information systems

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PROMOTING TIMOR LESTE’S TAIS CLOTH USING MOBILE AUGMENTED REALITY APPLICATION

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Procedia computer science 2018年 135卷 700-706页

作者： Marianus Magno Seran Bria Gede Putra Kusuma Louis Khrisna Putera Suryapranata Computer Science Department BINUS Graduate Program - Master 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

The results of observations showed that the book about Tais produced by Secretariat de Estado da Arte e Cultura (SEAC) has not been able to meet the needs of users because the information is less interesting and interactive. This paper’s aim is to introduce the more interesting and interactive way to introduce Tais. Utilization of Augmented Reality (AR) technology in an application built with the Unity3D program is done to provide different way in presenting interesting and interactive information to its users. Based on the results in this paper, the developed application can handle the presentation in more interesting and interactive way. The ideal distance in the tracking process for target objects with size 7 x 6 cm is ranged from 6 cm to 30 cm, with the image ratio that can be detected at the farthest distance is 4% of the camera image. For the detection angle, the target object can be detected properly from approximately ±64 0 . From the data acquired, it can be said that AR can be used to introduce Tais in more interesting and interactive way.

关键词： augmented reality mobile application tais timor leste cultural heritage

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Analysis of Factors Influencing Decisions to Purchase Airline Tickets Online during the Covid-19 Pandemic

Analysis of Factors Influencing Decisions to Purchase Airlin...

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2023 International Conference on computer science, Information Technology and Engineering, ICCoSITE 2023

作者： Lie, Yulius Perbangsa, Anzaludin Samsinga Pardamean, Bens Bina Nusantara University School of Information Systems Information System Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350320954

The background of this research is the condition of the covid-19 pandemic which has an impact on online ticket sales. Meanwhile, when future of covid-19 pandemic is starting to become clearer, we are going to have a lot more infections but hopefully a lot fewer hospitalizations, people began to travel long distances that had been delayed by implementing health protocols. Airfare competition can influence the decision to buy airline tickets. Various things have been done to attract the attention of buyers. This research is a non-experimental quantitative research. Population in this research was people who have purchased plane tickets online during the covid-19 pandemic, and the sample were 113 respondents age between 15 and 64. Sampling technique used was simple random sampling. Analysis of the data used in this study using multicollinearity, heteroscedasticity, multiple linear, T-test, F-test, and coefficient of determination test. It was concluded that price, promotion, and lifestyle variables can influence online purchasing decisions. © 2023 IEEE.

关键词： Sales

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Proposed Autonomous Vehicle Framework for Safe Driving 7

Proposed Autonomous Vehicle Framework for Safe Driving

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

作者： Winoto, Amadeus Suryo Kristianus, Michael Linardi, Brandon Warnars, Harco Leslie Hendric Spits School of Computer Science Computer Science Department Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

The proposed idea to improve the usage of an autonomous vehicle to increase safe driving based on the DARPA project, which already has shown the bright future of the autonomous vehicle. This paper proposes a new idea regarding the sensors and the autonomous vehicle framework, such as the usage of some algorithms and new UI along with the data logger. Moreover, the use of a LIDAR sensor is extended, along with a stereo camera and also ultrasonic sensor to make it more precise. Then, a calibration system is made for the stereo camera, which will take help from the ultrasonic sensor. Not the only ultrasonic, camera, and LIDAR, and IMU and GPS sensor are used to know the angle of x, y, and z of our vehicle. Both IMU and GPS are helping in the perception and mostly in the RNDF Localization that will be used in the pathfinding, planning, and control. The global Dynamic-Window approach is applied for the path selection algorithm and combining it with the Autonomous System Approach. The speed selection algorithm will decide on the speed limit and the camera. Not only that but the implement the Inter-Vehicle Algorithm is implemented, which makes the vehicles can exchange information with the other vehicles in the radius of the vehicle. Which all of this together can make a safer driving environment, not only for cars but another vehicle as well. Hope this framework can be used for any other vehicle project and becoming the base of all autonomous vehicle. © 2019 IEEE.

关键词： Optical radar

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Development of an Automated Scoring Model Using SentenceTransformers for Discussion Forums in Online Learning Environments

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Journal of Computing and Information Technology 2022年第2期30卷 85-99页

作者： Dhini, Bachriah Fatwa Girsang, Abba Suganda Department of Computer Science BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

Due to the limitations of public datasets, research on automatic essay scoring in Indonesian has been restrained and resulted in suboptimal accuracy. In general, the main goal of the essay scoring system is to improve execution time, which is usually done manually with human judgment. This study uses a discussion forum in online learning to generate an assessment between the responses and the lecturer's rubric in the automated essay scoring. A SentenceTransformers pre-trained model that can construct the highest vector embedding was proposed to identify the semantic meaning between the responses and the lecturer's rubric. The effectiveness of monolingual and multilingual models was compared. This research aims to determine the model's effectiveness and the appropriate model for the Automated Essay Scoring (AES) used in paired sentence Natural Language Processing tasks. The distiluse-base-multilingual-cased-v1 model, which employed the Pearson correlation method, obtained the highest performance. Specifically, it obtained a correlation value of 0.63 and a mean absolute error (MAE) score of 0.70. It indicates that the overall prediction result is enhanced when compared to the earlier regression task research. ACM CCS (2012) Classification: Computing methodologies → Modeling and simulation → Model development and analysis → Model verification and validation Applied computing → Education → Distance learning. © 2022, University of Zagreb Faculty of Electrical Engineering and Computing. All rights reserved.

关键词： Semantics

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Digital Nudge Evaluation on COVID-19 tracing Application 9

Digital Nudge Evaluation on COVID-19 tracing Application

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9th International Conference on Information and Communication Technology, ICoICT 2021

作者： Sukmaningsih, Dyah Wahyu Abdurachman, Edi Purwandari, Betty Trisetyarso, Agung Bina Nusantara University BINUS Graduate Program-Computer Science Computer Science Department Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

ISBN: (纸本)9781665404471

Nudge is considered as an intervention to change user behavior and influence decision-making. Mobile apps have become a part of our everyday life. In this pandemic era, governments use mobile apps' technology to control the spread of COVID-19 infection. Many governments implemented COVID-19 tracing apps, and citizens are forced to use the apps to record their contact tracing and alert them if they have contact with an infected person. The key to control the increasing spread of the virus also depends on citizens adhere to health protocol. Government has experience difficulty in enforcing the protocol without strict surveillance. Therefore, building awareness of risk is essential-this study attempt to design nudge intervention into COVID-19 tracing apps. From the evaluation of the original apps, four nudge interventions can be applied in the application. © 2021 IEEE.

关键词： COVID-19

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Telematics Work Field Review Text Classification Using the Naïve Bayes Method

Telematics Work Field Review Text Classification Using the N...

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2022 IEEE Creative Communication and Innovative Technology, ICCIT 2022

作者： Maesya, Aries Heryadi, Yaya Arifin, Yulyani Lukas Suparta, Wayan Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Engineering Indonesia

ISBN: (纸本)9781665468763

Indonesia will benefit from a demographic boom in 2030 with a higher labor supply than in earlier decades. Then in industrial revolution 4.0 robotics and artificial intelligence will take the place of low-skilled or menial employment that don't require specialized expertise (AI). To aim research is Telematics Work Field Review Text Classification Using the Naïve Bayes Method. The method using Multinomial Naïve Bayes model which is trained to learn from patterns in training data set without being programmed explicitly. Then, based on the Term Frequency - Inverse Document Frequency, consider the weighting of the word used (TF-IDF). The text classification stage is then carried out using the multinominal nave bayes classification method with evaluation using the confusion matrix, following the acquisition of the TF-IDF value. In the study it took data with web crawling techniques on social media sites twitter. The data collected was 936 data consisting of 7,8% negative sentiments, 26,4% positive sentiments, and 65,8% neutrals. The results of accuracy testing using the Confusion Matrix. And from the results of such tests resulted in an accuracy of 66%, precision 73%, and recall 85%. © 2022 IEEE.

关键词： Telematics

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Websocket to Support Real Time Smart Home Applications

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Procedia computer science 2019年 157卷 560-566页

作者： Benfano Soewito Christian Fergyanto E. Gunawan Diana I Gede Putra Kusuma 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

As we already know, the IoT (Internet of Thing) system has developed and is used in many fields, such as agriculture, security, industry etc. The IoT system requires real time monitoring and this is one of the problems that exists today. Transfering data from the sensor via the internet network to a monitoring device must be less than 300 ms. One process that can cause non-fulfillment of these requirements is a method for displaying the data on a monitor. There are several methods for delivering data from the sensor to a monitor. This paper has been compared between two methods, namely the polling method and the websocket method. The experiment was conducted to compare these two method. The result obtained that the websocket method was better in presenting real time data compared to the polling method. It can be shown in bandwidth usage and memory usage. In the experiment was found that the average of bandwidth usage is 478KB for polling method, and 91KB for web socket method in web based and the memory consumption of websocket less as much as 16% compared to polling method. In android smartphone the average bandwidth usage is 5.1 KB for web socket method and 15 KB for polling method and the memory consumption of websocket less as much as 22% compared to polling method.

关键词： Websocket realtime IoT smart home polling method

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