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The Effectiveness of BIPA Learning Based on Blended MOOCs Learning Model 7

The Effectiveness of BIPA Learning Based on Blended MOOCs Le...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Ningsih, Rahmi Yulia Boeriswati, Endiy Rahayu, Wardani Lustyantie, Ninuk Chaeniman, Uwes Anis Universitas Negeri Jakarta Faculty of Humanity Bina Nusantara University Applied Linguistics Postgraduate Program Language Center Primary Teacher Education Department Jakarta Indonesia Universitas Negeri Jakarta Applied Linguistics Postgraduate Program Jakarta Indonesia Universitas Negeri Jakarta Educational Research and Evaluation Postgraduate Program Jakarta Indonesia Universitas Negeri Jakarta Educational Technology Faculty of Education Jakarta Indonesia

ISBN: (纸本)9781665414074

This study aims to find out the effectiveness of BIPA learning based on the Blended MOOCs (Massive Open Online Courses) learning model. BIPA learning is Indonesian language learning for foreign speakers. The research method used was quantitative research with survey techniques and Paired Sample T-test. The survey to assess students' perceptions of the effectiveness of BIPA learning based on the Blended MOOCs learning model. While the Paired Sample T-test was carried out on BIPA learning outcomes to determine the increase in BIPA learning outcomes that were applied to the Blended MOOCs learning model. The research population is 7 students who study and 5 BIPA teachers who teach with the Blended MOOCs model. The results showed that BIPA learning based on the Blended MOOCs learning model was considered effective because of the following factors: learning environment (18%), good teaching system (17%), curriculum (17%), student motivation (16%), general skills (16%) ), and the scoring system (16%). Based on the results of the Paired Sample T-test, it was known that the pretest-posttest Sig value of 0.009 © 2021 IEEE.

关键词： Students

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Geofence Alerts Application with GPS Tracking for Children Monitoring (CTS) 7

Geofence Alerts Application with GPS Tracking for Children M...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Jaya, M. Izham Tong, Goh Xin Razak, Mohd Faizal Ab Zabidi, Azlee Hisham, Syifak Izhar Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia

ISBN: (纸本)9781665414074

Geofence Alerts Application with GPS Tracking for Children Monitoring (CTS) is a mobile application that helps parents to track the location of their child. It provides the parents with the route and real-time location of the children. Parents often face difficulties in getting hold of the whereabouts of their children when they are not in sight. This situation increases the insecurity of parents toward the safety of their children. The first objective of this paper is to obtain a latitude, longitude, and time information of a child's location in real-time using GPS tracker. The second objective is to develop a smartphone application that capable to track the location of children in real-time. The third objective is to evaluate the functionality of the developed smartphone application in tracking children's location. Features, advantages, and disadvantages of three commercialized application are compared to collect requirements for the CTS application. The requirements are then used to design and develop the interface of CTS application using Rapid Application Design (RAD) framework. Three main modules, which are the View Current Location module, View History Route module and Setup Geofence module are proposed for the application. Additionally, a GPS tracker based on Arduino Uno board is developed to provide the longitude and latitude of children's current location. The functionality of the CTS application and the GPS tracker is then evaluated to determined bugs and its usability. It was discovered that CTS is in helping parents to track the location of their child in real-time, view the past route taken by the child, set up geofence area, and receive notification when their child enters or leave the geofence area within the scheduled time. © 2021 IEEE.

关键词： Internet of things

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The Co-ChiLeRFE: Couple LBP and LTP Methods of Children-Learning Readiness Using Facial Expression 7

The Co-ChiLeRFE: Couple LBP and LTP Methods of Children-Lear...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Mahsa Anandiwa, Ulya Rachmawati, Ema Risnandar, Risnandar Telkom University School of Computing Bandung Indonesia Comp. Vis Research Group Research Center for Informatics Indoneisan Institute Sciences Indonesia

ISBN: (纸本)9781665414074

Children's emotions can affect the learning process, especially positive emotions, making them more focused on learning. In addition, in terms of identifying someone's emotions, we can represent them through facial expressions by combining the local binary pattern (LBP) and the local ternary patterns (LTP) method, known as Co-ChiLeRFE. The reasons for combining the two methods are that the LBP has proven to be very good at performing feature extraction, especially in describing textures. At the same time, LTP is adept at dealing with uniform motifs such as those on the face area. Subsequently, in this study, we used the NIMH child emotional faces picture set (NIMH-ChEFS), which has five-class expressions: sad, neutral, happy, angry, and afraid. To achieve optimal results in the Co-ChiLeRFE method, we set the LBP parameter as P = 8, R = 8, and the LTP parameter threshold value of one. The results we got from this experiment achieved a system performance superior accuracy of 92.51%. © 2021 IEEE.

关键词： Local binary pattern

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Tree-based Ensemble Learning for Stress Detection by Typing Behavior on Smartphones 7

Tree-based Ensemble Learning for Stress Detection by Typing ...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Sukma Darmawan, Adam Ernawan, Ferda Benawan, Ivan Akbar Andriawan, Zharfan Wibowo, Adi Sugiharto, Aris Adi Sarwoko, Eko Kusuma, Mandahadi Diponegoro University Department of Informatics Semarang Indonesia Universiti Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Pahang Malaysia Universitas Islam Negeri Sunan Kalijaga Yogyakarta Indonesia

ISBN: (纸本)9781665414074

Stress is an emotional feeling that arises in a person in response to unpleasant external pressures or demands. Stress can be obtained from environmental, work, academic, economic, and other problems. The COVID-19 pandemic, which is changing people's lifestyles, has a major impact on people's mental health. The experiments used 1522 respondents that related to stress problems due to the COVID-19 pandemic from the Indonesian Association of Mental Medicine Specialists (PSDKJI), the prevalence reached 64.3%. There are many different ways to detect stress, but most of them require special tools to identify it. This paper presents a prediction based on machine learning for identifying the stress levels by typing behavior data on a smartphone keyboard. This study uses tree-based ensemble learning to make predictions. Based on the experimental results, the Random Forest model produces the best accuracy with a value of 94.77%. The most influential feature of the model is the standard deviation feature of the gravity sensor on the Z-axis. © 2021 IEEE.

关键词： Smartphones

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Alarming Assistive Technology: An IoT enabled Sitting Posture Monitoring System 7

Alarming Assistive Technology: An IoT enabled Sitting Postur...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Ramalingam, Mritha Puviarasi, R. Chinnavan, Elanchezhian Shern, Quah Chia Zolkipli, Mohamad Fadli University Malaysia Pahang Faculty of Computing College of Computing and Applied Sciences Malaysia Shmats Saveetha School of Engineering Department of Electronics and Communication Engineering India Bharathidasan University Holycross College Department of Rehabilitation Sciences Trichy India Universiti Utara Malaysia School of Computing Uum College OfArts and Sciences Kedah Malaysia

ISBN: (纸本)9781665414074

The usage of smart devices is tremendously booming up in recent years. The users of smartphones are increasing over the years as well. However, there is a great tendency that users gradually change their posture while using smart devices over long hours. This might potentially lead to several health risks such as damaged spinal cord or back pain on the users. In this paper, we propose a monitoring system with an IoT framework that could monitor the sitting posture of the user while using the smart devices. This proposed alerting system integrates the sensors and wireless networks for data accumulation for monitoring a person's sitting posture and alert them to correct their sitting posture. © 2021 IEEE.

关键词： Internet of things

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Comparative Study of QoS Parameters for Different Web Services 7

Comparative Study of QoS Parameters for Different Web Servic...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Azad, Md. Abul Kalam Islam, Salekul Islam, A. K. M. Muzahidul Mukta, Md. Saddam Hossain United International University Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665414074

Web service plays an important role in the new paradigm of distributed computing over the Internet. Web service allows to combine different publicly available services together to create new functionalities. Many public web services can be used at free of cost. Two important elements of web services are Web Services Description Language (WSDL) used for describing and locating web services and Simple Object Access Protocol (SOAP) used for communicating between applications via the Internet. The consumers of web services are always keen to differentiate between QoS-aware and QoS-unaware web services. Measuring QoS is the prerequisite for designing QoS-aware web services. Therefore, a number of metrics need to be identified. Because of the dynamic and unpredictable nature of the web services infrastructure, providing the acceptable QoS is really a challenging task. In this paper we have identified three dominating features-response time, reliability and security-that governs the QoS of a web service. The objective of this work is to carry out a comparative study between publicly available web services by measuring different metrics of QoS for these web services. Hence, using different open-source tools we propose a simplified approach to measure those QoS metrics for publicly available web services. Based on our approach, QoS-aware web services can easily be built from publicly available services. © 2021 IEEE.

关键词： Web services

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Blockchain Technology for IoT based Educational Framework and Credentials 7

Blockchain Technology for IoT based Educational Framework an...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Siddiqui, Shams Tabrez Fakhreldin, Mohammoud Alam, Shadab Jazan University Department of Computer Science Jazan Saudi Arabia

ISBN: (纸本)9781665414074

The Internet of Things (IoT) and blockchain are two of the most impactful and inventive technologies of the previous decade. Due to its unique qualities, such as security, data integrity, decentralization and reliability, blockchain is attracting practitioners and researchers. IoT, on the other hand, refers to a network of connected things that use wearable devices and software to communicate and exchange data with other devices through the internet. These technologies are growing fast in many computer science fields;therefore, it is essential to improve the current state of knowledge of blockchain practices into IoT enabled education sector to utilize the thoroughgoing features to benefit the students, teachers, employers, organizations and lifelong *** research article investigates the benefits of the blockchain, to keep the information of stakeholders cryptically secure on the internet. Especially in the field of education where IoT enables an efficient interaction system among developers, facilitators, students, teachers, recruiters and employers while preserving valuable data on the internet. Several challenges of adopting blockchain for IoT-enabled education systems are addressed so that the practitioners can acquire innovative technologies in the field of education more quickly in near future. The most significant accomplishment of this research is the establishment of a framework for the educational system to communicate through IoT devices and utilize blockchain technology for producing certificates and securing other credentials as well. © 2021 IEEE.

关键词： Blockchain

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Whale Optimisation Freeman Chain Code (WO-FCC) Extraction Algorithm for Handwritten Character Recognition 7

Whale Optimisation Freeman Chain Code (WO-FCC) Extraction Al...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Mohamad, Muhammad Arif Sallim, Jamaludin Moorthy, Kohbalan Universiti Malaysia Pahang Faculty of Computing Pahang Pekan26600 Malaysia

ISBN: (纸本)9781665414074

In order to improve the classification accuracy in the field of handwriting character recognition (HCR), the number of derivative algorithms has improved and the interest in feature extraction has increased. In this paper, we propose a metaheuristic method for feature extraction algorithm with Whale Optimisation Algorithm (WOA) based HCR. WOA is a swarm-based techniques that mimic the social behavior of groups of animals, which mimics the social behavior of humpback whales. Freeman chaincode (FCC) is utilised as a data representations of handwritten text images. Nevertheless, the representations of FCC depends on the length of the path and the branching of the character's nodes. To solve this problem, we propose a metaheuristic approach through WOA to find the shortest path length and minimum computational time for handwriting recognition. Finally, the results were compared with the existing proposed Flower Pollination Algorithm (FPA) at the time of FCC extraction. The results show that WOA is a bit better at getting shorter path lengths than FPA in terms of path lengths. In terms of calculation time, WOA calculates faster calculation time by feature extraction than FPA. © 2021 IEEE.

关键词： Feature extraction

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Features of Single Value Coordinate System (SVCS) for Earthquake Forecasting using Single Layer Hierarchical Graph Neuron (SLHGN) 7

Features of Single Value Coordinate System (SVCS) for Earthq...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Nasution, Benny Benyamin Politeknik Negeri Medan Computer Engineering and Informatics Medan Indonesia

ISBN: (纸本)9781665414074

In order to increase its accuracy, the earthquake forecasting using the Single Layer Hierarchical Graph Neuron (SLHGN) requires particular capabilities related to earth coordinates. As the current coordinate system cannot provide the SLHGN with such capabilities, this work has developed the Single Value Coordinate System (SVCS) as a solution. The main principles of the SVCS that are different to the current coordinate system are: 1) The SVCS coordinate points to an area, not to a dot (point), therefore it is suitable for the SLHGN;2) The SVCS only utilizes basic mathematical operations, therefore it is fast;3) The SVCS treats each area on the earth equally, therefore it is reliable. Based on these, the work has successfully discovered three main features of the SVCS that will be beneficial for the SLHGN. The SVCS provides earthquake forecasting using the SLHGN with these three main features: 1) Conversion from current coordinates to the SVCS coordinates;2) Shortest distance calculation in different areas;3) Simplest direction formulation between two areas. © 2021 IEEE.

关键词： Forecasting

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Framework of Strategic Alignment through Enterprise Architecture for Organization Performance 7

Framework of Strategic Alignment through Enterprise Architec...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Maulana, Yoppy Mirza Rizal M Azmi, Zafril Arshah, Ruzaini Abdullah Aliif Ahmad, Muhammad Zain, Halah Faculty of Computing Universiti Malaysia Pahang Malaysia School of Computing Faculty of Engineering Universiti Teknologi Malaysia Malaysia Faculty of Computer Science Information Technology Jazan University Malaysia

ISBN: (纸本)9781665414074

One of the topics in strategic planning of information systems is Business-IT alignment (BITA). BITA is manifested in strategic alignment, which is generally seen as an important factor as a driver for optimizing business performance. Strategy conformity is related to the suitability of internal resource capabilities and external opportunities towards superior performance. To realize the suitability of Business and IT strategies, a framework is needed, namely Enterprise Architecture (EA). Many studies have focused on business and IT customization using EA, but none have addressed how to relate it to organizational performance. Meanwhile, the goal of IT investment is to improve organizational performance by aligning IT with the business. For this reason, the solution is to develop a framework for conformity with Business and IT strategies through EA by mapping organizational performance. The resulting output is a framework used to align IT with business strategy through EA and its relationship to organizational performance. © 2021 IEEE.

关键词： Strategic planning

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