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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 38-51</text>
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                <text>1865-7923</text>
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                <text>In many aspects of healthy, science, educational, functional, and social life, social media networks today are part of the human lifestyle. Social media has more impact on human life and introduced significant changes in the way people’s way of communication. People exchange a lot of information across social media networks, starting with the sharing of information with the growth of information sharing at the moment, and the advancement of technology Users create overt networks to reflect their current or new social connections. Users also upload and post a plethora of personal details. Maintaining the privacy and security of the user is a main challenge in social media. Users should feel the importance of preserving the privacy of their data and how valuable information such as banking details and confidential data should be kept away from social media. Users can also post personal information about others without their permission. The problem is exacerbated by users' lack of familiarity and knowledge, as well as the lack of appropriate resources and architecture of social media networks. This paper provides study on many privacy and security challenges encountered by social media networks and the privacy threats they pose, as well as current studies into possible solutions.</text>
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                <text>Copyright (c) 2021 Mohammed S. Albulayhi, Salim El Khediri</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 4-21</text>
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                <text>Juwita, Monica Danni</text>
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                <text>Based on the results of studies in the power electronics course, it shows that learning outcomes in the power components of semiconductors and inverter systems are not satisfactory. Innovation in teaching materials is an alternative to increasing this competency. This paper purposes a learning module through e-learning that is valid, practical, and effective, therefore it can improve student learning outcomes and motivation. This study uses a research and development method with the Plomp development model. The research subjects were electrical engineering education students taking power electronics courses. The data analysis technique used is descriptive analysis technique to describe the validity, practicality, and effectiveness of the learning module through e-learning. The result of the research is a learning module through e-learning that is valid, practical, and effective on the component material of semiconductor and inverter power systems that can improve student learning outcomes and learning motivation</text>
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                <text>Copyright (c) 2022 Krismadinata Krismadinata, Rudi Mulya, Monica Danni Juwita</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 03 (2022); pp. 66-81</text>
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                <text>E-learning Courseware Development for Power Electronics Course</text>
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                <text>Alshmasi, Dalia</text>
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                <text>The Learning Management System (LMS) is a core system that contributes to support e-learning, managing content, provide learning tools, and facilitate communication between students and teachers. This project aims to measure the impact of Blackboard-based e-learning use. We measure the effect of blackboard use on male students by comparing male and female students ’degrees of online learning (online class preparation) and traditional (face-to-face) learning at Qassim University, using statistical methods and data mining algorithms. We also develop A supportive tool that helps teachers manage some important tasks such as (student attendance, interaction, grades ... etc.). This tool will take student information and push automatic notifications to all concerned people via SMS.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 148-163</text>
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                <text>1865-7923</text>
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                <text>CNN.</text>
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                <text>The Impact of Using Blackboard on Student’s Grades</text>
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                <text>Khan, Nabeel</text>
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                <text>Self-Service Kiosks is the invention of moving technologies with improving the services into a new era of rapid development to society. Using Self-Service Kiosks changing the lifestyle schedule of the day, no need to make free time during the working hours to accomplish the services you need, as it's available 24/7. Public sectors are adopting SSKs at a high rate knowing its potential in revolutionizing how services are offered by improving work efficiency, work experience, relieving human workloads and reducing service cost. The integration of cloud technologies with SSK is an emerging tendency. The survey conducted in the form of questionnaire indicates that cloud enabled SSKs are aesthetically appealing and its implementation would assist in offering right content to a right person at the right time. As several industries adopted SSKs technology to provide their services, this study aims to understand the impact of the self-service kiosk on society and explain the association between self-service kiosk and cloud- computing.</text>
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              <elementText elementTextId="46516">
                <text>Copyright (c) 2021 Fetoon Algarawi, Nabeel Khan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 186-194</text>
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                <text>1865-7923</text>
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                <text>Self- Service Kiosk (SSK)</text>
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                <text>Cloud Computing</text>
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                <text>Self-Service Technologies (SST)</text>
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                <text>Socio-Technological Issues.</text>
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                <text>Integrating Cloud with Self Service Kiosk: An Impact Study on Society Evolution</text>
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              <description>A name given to the resource</description>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="46482">
                <text>Alharbi, Hajar A.</text>
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                <text>Alshaya, Hessa I.</text>
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                <text>Alsheail, Meshaiel M.</text>
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                <text>Koujan, Mukhlisah H.</text>
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                <text>The graduation projects (GP) are important because it reflects the academic profile and achievement of the students. For many years’ graduation projects are done by the information technology department students. Most of these projects have great value, and some were published in scientific journals and international conferences. However, these projects are stored in an archive room haphazardly and there is a very small part of it is a set of electronic PDF files stored on hard disk, which wastes time and effort and cannot benefit from it. However, there is no system to classify and store these projects in a good way that can benefit from them. In this paper, we reviewed some of the best machine learning algorithms to classify text “graduation projects”, support vector machine (SVM) algorithm, logistic regression (LR) algorithm, random forest (RF) algorithm, which can deal with an extremely small amount of dataset after comparing these algorithms based on accuracy. We choose the SVM algorithm to classify the projects. Besides, we will mention how to deal with a super small dataset and solve this problem.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27707</text>
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                <text>10.3991/ijim.v15i23.27707</text>
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            <description>A language of the resource</description>
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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/27707/10429</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46494">
                <text>Copyright (c) 2021 Hajar A. Alharbi, Hessa I. Alshaya, Meshaiel M. Alsheail, Mukhlisah H. Koujan</text>
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              <elementText elementTextId="46495">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="46496">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 136-147</text>
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              <elementText elementTextId="46497">
                <text>1865-7923</text>
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            <name>Subject</name>
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              <elementText elementTextId="46498">
                <text>Machine Learning</text>
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              <elementText elementTextId="46499">
                <text>Text Classification</text>
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                <text>System Analyze</text>
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                <text>Graduation Project</text>
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                <text>Analyzing Graduation Project Ideas by using Machine Learning</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Chuang Tong, Liew</text>
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                <text>Rosli, Mohd Shafie</text>
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                <text>Saleh, Nor Shela</text>
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                <text>Learning in the 21st century emphasize on development of higher order thinking skills such as problem-solving skills with substantial highlight was given toward student-centred approach. Digital game and problem-solving activities are an ideal combination of student-centred approach which facilitate active participation for students to practice and develop their thinking skills. This study was conducted to investigate the effect and the process of using digital game and problem-based learning skills to enhance higher order thinking skills in primary school student in the context of Malaysia. A preliminary study was conducted to 50 samples to collect data about their current higher order thinking skills level. The result shows samples are good in identify problem and solution, but weak in decision making and reasoning. To study the effect of digital game and problem-based learning combined in enhancing higher order thinking skills, a pre-test and post-test was conducted to 35 samples before and after three sessions of digital game problem-based learning section. After running a paired sample t test upon the pre-test and post-test, the result show that the combination of digital game and problem-based learning have significant effect in enhancing higher order thinking skills. To understand samples’ learning process, reflection journal was used after each learning section and an interview was conducted following the post-test. The data gathered indicate samples do enjoy learning with digital games and problem-based learning, and they agreed the approaches help them to learn better. However, they expected for more exciting games and group activities in the future. This study opens a gateway for developing student-centred and fun learning approach that beneficial toward student’s higher order thinking skills.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27677</text>
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                <text>10.3991/ijim.v16i02.27677</text>
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            <description>A language of the resource</description>
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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/27677/10639</text>
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            </elementTextContainer>
          </element>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="46474">
                <text>Copyright (c) 2021 Liew Chuang Tong, Mohd Shafie Rosli, Nor Shela Saleh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 02 (2022); pp. 101-112</text>
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                <text>1865-7923</text>
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                <text>Enhancing HOTS using Problem-Based Learning and Digital Game in the Context of Malaysian Primary School</text>
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                <text>Copyright (c) 2022 Nafan Tarihoran, Eva Fachriyah, Tressyalina Tressyalina, Iin Ratna Sumirat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 07 (2022); pp. 54-69</text>
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                <text>1865-7923</text>
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                <text>Mix code</text>
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                <text>The Impact of Social Media on the Use of Code Mixing by Generation Z</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Yaacob, Norarbaiyah</text>
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                <text>Ali, Dayana Farzeeha</text>
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                <text>Abdullah, Abdul Halim</text>
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                <text>Mokhtar, Mahani</text>
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                <text>Ibrahim, Nor Hasniza</text>
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                <text>Various research has been conducted to enhance the employees’ visualization skills in different areas and the importance and the role of visualization skills towards the employee’s achievement, especially in the industry such as manufacturing, medical, oil and gas field, and many more. To improve visualization skills, the use of effective training methods and tools should be applied to facilitate and enhance the understanding and performance in general, in a way to help them solve problems at the workplace. Thus, the aim of this paper focuses to the attention on the practical use of augmented reality (AR) with the ability of digital mobile application in the crude oil refinery process within the oil and gas industry environment, describing the potential and the effectiveness of the technology to enhance the visualization skill among the technical employees. This study used Basic refinery courseware that can be accessed via digital network to give an interactive training experience that can enhance technical employees' visualization skills. This courseware shows the positive effect and impact on technical employees’ visualization skills and performance based on the results. The results have also shown an increased motivation, making them more cooperative and developing visualization skills more quickly. Considering these results, it can be concluded that Basic Refinery training courseware based on augmented reality application is an effective and beneficial tool to be applied in training programs among the workplace's technical employees.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27591</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 Dayana Farzeeha Ali, Norarbaiyah Yaacob, Abdul Halim Abdullah, Norasykin Mohd Zaid, Mahani Mokhtar, Nor Hasniza Ibrahim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 45-56</text>
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                <text>1865-7923</text>
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                <text>basic refinery</text>
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                <text>Basic Refinery Training Courseware in Enhancing Technical Employees’ Visualization Skills</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Gattan, Atif M.</text>
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                <text>Sentiment investigation is the progression of calculating, recognizing as well as classifying the people mentality stated in the outline of the manuscript and the outlook of the individual concerning the particular subject matter can be investigated with the assist of that statistics. The information is accumulated by way of the assistance of API in favor of classifying of the end outcome based on the information collected as in Negative way, Neutral way and Positive way with the support of the scoring polarity allocated in favor of every statement that are collected. These data are fruitful for discovering and enhancing the consumer requirements and to acquire better tune-up. Major improvement of using the concept of sentiment analysis is to develop the user needs by straightforwardly collecting the information from the outsized set of consumers.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27575</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27575/10565</text>
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              <elementText elementTextId="46400">
                <text>Copyright (c) 2021 Atif M. Gattan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 184-193</text>
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                <text>1865-7923</text>
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                <text>Deep learning</text>
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                <text>twitter</text>
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                <text>Deep Learning Technique of Sentiment Analysis for Twitter Database</text>
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