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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 136-151</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 10 No. 2 (2000); 293-316</text>
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                <text>Self-Defense or Self-Denial: The Proliferation of Weapons of Mass Destruction</text>
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                <text>Hidajat, Flavia Aurelia</text>
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                <text>This study aims to determine the effect of self-regulated learning (SRL) on students' mathematical creativity through the "zoom" mobile e-learning application. SRL is learning that refers to activities to control and regulate the learning process independently of students to find creative ideas. This quantitative research uses a quasi-experiment approach. Participants in this study were 53 students at a secondary school in Malang, Indonesia. Participants were divided into two groups, namely 26 students in the experiment group and 27 students in the control group—grouping based on the purposive random sampling technique. The design of this study used a Nonequivalent Pre-Test and Post-test Control-Group design because the implementation of SRL was only for the experiment group, but both groups carried out pre-test and post-test. The data analysis technique used paired T-test analysis to compare and identify students' creativity from the experiment and control groups. Data analysis using the SPSS 23 application. The results showed that students' creativity in the experiment group was higher than in the control group. In the experiment group, students provided many creative solutions for various shapes of cube nets. This research will provide educators with suggestions to consider implementing SRL strategies to increase students' creativity in “Zoom” e-learning applications.</text>
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                <text>Copyright (c) 2022 Flavia Aurelia Hidajat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 4-21</text>
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                <text>1865-7923</text>
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                <text>teaching mathematics</text>
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                <text>Self-Regulated Learning for Creative Mathematics Teaching to Secondary School Students through Mobile E-Learning Applications</text>
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                <text>Apart from contributing to students’ learning outcomes, learning activities with digital concept maps were useful, fun, and engaging. Kit-Build concept map is a learning framework that incorporated concept map recomposition as its essential activity. It has been used to learn English as a Foreign Language (EFL) reading comprehension. Students learn through recomposing digital concept maps from a set of teacher’s concept map components; hence, the teacher’s concept map is essential in Kit-Build. A teacher’s concept map should reflect the learning context and strategy, the teacher’s purpose and intention, students’ understanding level, and focus questions. However, automatic-generated concept maps with Concept Map Mining (CMM) can only produce general concept maps that are not fit and difficult to correspond to said reasons. As teacher’s concept maps are essential in learning with Kit-Build, improving teachers’ productivity in composing concept maps of a particular learning material becomes necessary. This study proposed a semi-automatic concept map generation approach of EFL reading comprehension texts with CMM to assist teachers composed their concept maps. The proposed concept map generation approach was integrated into the current Kit-Build concept map authoring tool as an authoring support feature. The accuracy of the support feature in generating concept map components is presented in this research. The result suggested that the proposed authoring support tool is better used to refine a concept map.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 08 (2021); pp. 50-70</text>
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                <text>1865-7923</text>
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                <text>Semi-Automatic Concept Map Generation Approach of Web-Based Kit-Build Concept Map Authoring Tool</text>
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                <text>Abstract— The purpose of this paper is to show the design technique and programming of an autonomous robot prototype that can go to a predetermined location and return to its starting place utilizing the Global Positioning System (GPS). An HD camera along with an ultrasonic sensor and two IR sensors is used to provide necessary data from the real world to the robot to avoid obstructions, by following GPS Waypoints. A smart algorithm was introduced for path planning and re-planning. The robot can modify its direction using a digital compass reading and input from sensors by computing the heading angle from the current GPS point. This self-navigation mobile robot's accuracy was evaluated in several locations and is quantified in terms of heading angle and path length from the starting point to the goal point.
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                <text>Copyright (c) 2022 Laurik Helshan, Jusuf Qarkaxhija, Blerta Prevalla</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 23 (2022); pp. 99-108</text>
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                <text>1865-7923</text>
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                <text>Autonomous mobile robot</text>
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                <text>Fuzzy logic</text>
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                <text>OpenCV</text>
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                <text>Sensor Based Algorithm for Self-Navigating Robot Using Internet of Things (IoT)</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="31716">
                <text>Hussin, Masnida</text>
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                <text>Raja Mahmood, Raja Azlina</text>
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                <text>Mustaffa, Mas Rina</text>
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                <text>Energy consumption in distributed computing system gains a lot of attention recently after its processing capacity becomes significant for better business and economic operations. Comprehensive analysis of energy efficiency in high-performance data center for distributed processing requires ability to monitor a proportion of resource utilization versus energy consumption. In order to gain green data center while sustaining computational performance, a model of energy efficient cyber-physical communication is proposed. A real-time sensor communication is used to monitor heat emitted by processors and room temperature. Specifically, our cyber-physical communication model dynamically identifies processing states in data center while implying a suitable air-conditioning temperature level. The information is then used by administration to fine-tune the room temperature according to the current processing activities. Our automated triggering approach aims to improve edge computing performance with cost-effective energy consumption. Simulation experiments show that our cyber-physical communication achieves better energy consumption and resource utilization compared with other cooling model.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="31727">
                <text>Copyright (c) 2019 Masnida Hussin, Raja Azlina Raja Mahmood, Mas Rina Mustaffa</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 10 (2019); pp. 188-197</text>
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                <text>1865-7923</text>
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                <text>wireless communication</text>
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                <text>Sensor Communication Model Using Cyber-Physical System Approach for Green Data Center</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="25391">
                <text>Adam, Abubakar</text>
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                <text>Abubakar, Adamu</text>
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                <text>Mahmud, Murni</text>
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                <text>Owing to the fact that the world population is aging and considering the high cost of healthcare services, researchers are exploiting the use of sensors to support mobile monitoring of healthcare systems remotely. However, this area is faced with numerous challenges. In this research, the challenges facing the integration of sensors in Health Information Systems (HIS) were reviewed. One of the major challenges faced by such systems is interoperability. In this article, a survey of existing mobile monitoring system is presented and the challenges facing this area are categorized. A significant contribution by some research has indicated the need for further study to thoroughly investigate Interoperability as a Property (IaaP) paradigm for HIS. Recommendation by some researchers requires that a prototype be developed in order to evaluate the performance of IaaP paradigm.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 01 (2019); pp. 99-114</text>
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                <text>1865-7923</text>
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                <text>Internet of Things</text>
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                <text>Patient Monitoring Systems</text>
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                <text>Wireless Body Area Network</text>
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                <text>Doksrød, Anne</text>
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                <text>Ledas, Šarunas</text>
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                <text>Rasmussen, Terje</text>
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                <text>Handheld digital devices are rapidly increasing their sensory capabilities for registering multiple types of input, such as movement, orientation, position and touch, as well as light and sound. Mobile Augmented Rreality is one of the emerging forms of representation and expression that exploits these sensory media. In the following text we will present and discuss a type of indirect augmented reality, which we call situated simulations. In a situated simulation there is approximate identity between the 3D environment displayed on the screen and the user's real perspective on a given location. This makes it possible to create simulations of relevant objects and environments related to a specific place, for example, interpretations of its past. We present a situated simulation</text>
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              <elementText elementTextId="20186">
                <text>Copyright (c) 2017 Gunnar Liestøl, Anne Doksrød, Šarunas Ledas, Terje Rasmussen</text>
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              <elementText elementTextId="20187">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 6 No. 3 (2012); pp. 18-24</text>
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              <elementText elementTextId="20188">
                <text>1865-7923</text>
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                <text>Augmented Reality</text>
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                <text>Situated Simulations</text>
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                <text>Situated Learning</text>
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                <text>interdisciplinarity</text>
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                <text>Sensory Media: Multidisciplinary Approaches in Designing a Situated &amp; Mobile Learning Environment for Past Topics</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Qaiser, Shahzad</text>
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                <text>Yusoff, Nooraini</text>
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                <text>Kabir Ahmad, Farzana</text>
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                <text>Ali, Ramsha</text>
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                <text>Many different studies are in progress to analyze the content created by the users on social media due to its influence and social ripple effect. Various content created on social media has pieces of information and user’s sentiments about social issues. This study aims to analyze people’s sentiments about the impact of technology on employment and advancements in technologies and build a machine learning classifier to classify the sentiments. People are getting nervous, depressed and even doing suicides due to unemployment; hence, it is essential to explore this relatively new area of research. The study has two main objectives 1) to preprocess text collected from Twitter concerning the impact of technology on employment and analyze its sentiment, 2) to evaluate the performance of machine learning Naïve Bayes (NB) classifier on the text. To achieve this, a methodology is proposed that includes 1) data collection and preprocessing 2) analyze sentiment, 3) building machine learning classifier and 4) compare the performance of NB and support vector machine (SVM). NB and SVM achieved 87.18% and 82.05% accuracy respectively. The study found that 65% of the people hold negative sentiment regarding the impact of technology on employment and technological advancements; hence people must acquire new skills to minimize the effect of structural unemployment.</text>
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                <text>10.3991/ijim.v14i07.10600</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="29936">
                <text>Copyright (c) 2020 Shahzad Qaiser, Nooraini Yusoff, Ramsha Ali</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 07 (2020); pp. 88-103</text>
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                <text>1865-7923</text>
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                <text>Sentiment Analysis</text>
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                <text>Unemployment</text>
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                <text>Sentiment Analysis of Impact of Technology on Employment from Text on Twitter</text>
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