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                <text>Suhairi, Muhammad</text>
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                <text>Asmawi, Moch.</text>
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                <text>— SMASH's skill is a technique that can be done by a person in a hard swooping towards your opponent to produce numbers. Interactive multimedia technology is expected to be a guideline for athletes in looking at more variation models of SMASH. The aim of development research is to produce an interactive multimedia volleyball playing skill training model. The method used in this research is development research design by Borg and Gall. The approach used in this study is a qualitative and quantitative approach. This study is hoped to improve volleyball skills by looking at the interactive multimedia volleyball playing practice model. This study concludes that interactive multimedia-based volleyball skill playing model can be used in the actual application of exercises.</text>
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                <text>Copyright (c) 2020 Muhammad Suhairi, Moch. Asmawi, James Tangkudung, Achmad Sofyan Hanif, Firmansyah Dlis</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 53-66</text>
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                <text>1865-7923</text>
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                <text>Interactive Multimedia</text>
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                <text>Development of SMASH Skills Training Model on Volleyball Based on Interactive Multimedia</text>
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                <text>Hartono, Fajar Vidya</text>
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                <text>Blindness is a condition where the senses of vision are not functioning (low vision) or overall (total blindness). Persons with visual impairments are who can enjoy swimming with the help of sensors. The aim of the study was to create aids for sensor-based blind visual swimming that can be used during swimming exercises. The method used is a qualitative approach, the main data obtained through observation, questionnaires, interviews, and documentation and procedures of research and development used is the Borg and Gall model. This study is expected to contribute to blind swimming aids material products which are effectively used for swimming exercise skills. This study concluded that the product development sensor based blind learning swimming aids can be used for motion skills training for blind swimming athletes.</text>
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                <text>Copyright (c) 2020 Fajar Vidya Hartono, James Tangkudungr, Abdul Sukur, Firmansyah Dlis</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 40-52</text>
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                <text>1865-7923</text>
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                <text>Agustini, Maria</text>
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                <text>Wuryani, Wuryani</text>
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                <text>This is a learning media with the scope of ADHD (Attention Deficit Hyperactivity Disorder) for children of age 7 – 8 years. The study aims is to education learning media for children with ADHD with existing games. The Dick and Carey instructional model   that has been used is a model of development engaging steps of procedural approaches. The achieved results are going to be used to design a teaching and learning media through the Bible Warrior Adventure Games. This research brings out teaching material products that can be accessed by Android application. By using this learning media, the Sunday School Children with ADHD will be able to learn Christian education easily through Android. The results of the field trial found the fact that after testing the use of instructional media was able to facilitate and increase the knowledge and competence of children with special needs ADHD and can create effective learning, and motivate students in learning.</text>
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                <text>Copyright (c) 2020 Maria Agustini, Yufiarti Yufiarti, Wuryani Wuryani</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 205-213</text>
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                <text>1865-7923</text>
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                <text>Development of Learning Media based on Android Games for Children with Attention Deficit Hyperactivity Disorder</text>
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                <text>Learning Management System (LMS) is a learning process that utilizes computer information technology equipped with internet and multimedia telecommunications facilities (graphics, audio, video) in delivering material and interaction between instructors and learners. The purpose of this study is to develop blended learning Using Claroline as a learning tool that facilitates students in learning. To achieve the objective of the study the research uses a quantitative approach to collect data using pre and post tests and questionnaires. The sample in the study were students of economic Islamic consisting of two classes, with a total of 50 students enrolled in this study. The results show that the difference in the average pre-test and post-test score was -29.43720. While the t-test that tests Ho: pre-test = post-test gives a value of t = -37.43720 with a degree of freedom of 49. While the p-value for the two-sided test of 0,000 is smaller than α = 0.05. This data approves that the statistical hypothesis Ho: pre-test = post-test is rejected, meaning that the average pre-test and post-test scores are significantly different. The findings of this study can be used to recommend effective ways of learning and teaching using e-learning that can improve student learning outcomes in higher education. The implications of this research is to encourage teachers to use e-learning technology and facilitate students with the technology in improving academic learning outcomes.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 15-39</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 4-14</text>
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                <text>Focusing on the issue of host load estimating in mobile cloud computing, the Long Short Term Memory networks (LSTM)is introduced, which is appropriate for the intricate and long-term arrangement information of the cloud condition and a heap determining calculation dependent on Glowworm Swarm Optimization LSTM neural system is proposed. Specifically, we build a mobile cloud load forecasting model using LSTM neural network, and the Glowworm Swarm Optimization Algorithm (GSO) is used to search for the optimal LSTM parameters based on the research and analysis of host load data in the mobile cloud computing data center. Finally, the simulation experiments are implemented and similar prediction algorithms are compared. The experimental results show that the prediction algorithms proposed in this paper are in prediction accuracy higher than equivalent prediction algorithms.</text>
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                <text>Copyright (c) 2020 P. Sudhakaran, Subbiah Swaminathan, D. Yuvaraj, S.Shanmuga Priya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 05 (2020); pp. 150-163</text>
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                <text>1865-7923</text>
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                <text>Mobile cloud</text>
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                <text>Load Predicting Model of Mobile Cloud Computing Based on Glowworm Swarm Optimization LSTM Network</text>
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                <text>Ariffin, Shamsul Arrieya</text>
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                <text>Daud, Faiz</text>
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                <text>Kiong, Tee Tze</text>
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                <text>Mobile learning is fairly new in the local context, particularly for STEM subjects in Malaysia universities. However, this raises the issue of the ethics of mobile technology. With the advancement of mobile technologies few studies have been conducted for mobile ethics in student-generated activities. The aim of this research is to investigate the impact of mobile learning student-generated activities ethics in Malaysia. The methodology used in this research is largely qualitative with students from a local university in Malaysia. This novel study developed early themes that sign post factors for mobile ethics in student-generated activities in a Malaysian university context for STEM subjects.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13359</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13359/6777</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="34607">
                <text>Copyright (c) 2020 Shamsul Arrieya Ariffin, Christian Glahn, Muh Anshar, Faiz Daud, Tee Tze Kiong, Nurul Hazlina Noordin, Amirrudin Kamsin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 05 (2020); pp. 210-218</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>mobile learning</text>
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                <text>Early Investigation of the Impact of Mobile Learning Ethics Student-Generated Activities for STEM Subjects in a Local Malaysian University Context</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="34569">
                <text>Sarif, Siti Mahfuzah</text>
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                <text>Hanafi, Zurina</text>
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                <text>Packeer Mohamed, Shafinah Farvin</text>
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                <text>Bahrin Zaibon, Syamsul</text>
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                <text>Mohamad Mohsin, Mohamad Farhan</text>
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                <text>This paper discusses a unique business model of eatery recommender system based on local knowledge using mobile platform. The business model is developed to define the business concept of the innovation which is a rural innovation involving multiple entities (locals, eatery owners and users who are searching for eatery). The innovation highlights on local knowledge crowdsourced from the participation of locals through gamification activities included in the mobile app. In achieving the aim, the design science methodology was adapted in this study which consists of 4 phases: (i) Awareness of Problem, (ii) Suggestion, (iii) Evaluation, and (iv) Conclusion. The proposed business model was developed through a few activities including literature review, comparative study dan preliminary study. Then, the study continued with developing a prototype known as Makan@Local Chatok (M@LC) app and evaluated the app in terms of its usability aspects. Results from the usability testing concludes that the app is perceived as easy to use. It was also found that the proposed business model has been well-accepted by users. In conclusion, it is hoped that this study will not only demonstrate the potential and impact of mobile eatery recommendation system using local knowledge, but also provide a capstone on business research in the field of tourism industry.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13357</text>
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                <text>10.3991/ijim.v14i05.13357</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13357/6781</text>
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              <elementText elementTextId="34582">
                <text>Copyright (c) 2020 Siti Mahfuzah Sarif, Zurina Hanafi, Shafinah Farvin Packeer Mohamed, Syamsul Bahrin Zaibon, Mohamad Farhan Mohamad Mohsin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 05 (2020); pp. 129-149</text>
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                <text>1865-7923</text>
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                <text>Makan@Local Chatok: Mobile Eatery Recommendation System Based on Local Knowledge</text>
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