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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Al Mulhem, Ahmed</text>
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                <text>The primary purpose of this study is to review and analyse the literature related to e-learning, which is linked to previous studies. Specifically, studies that used the TAM model to examine the effect of eleven external factors, such as website content quality, website design quality, website technical quality, website access speed, usability, e-learning system functionality, e-learning system reliability, facilitating conditions, top management support, student awareness and academic staff awareness on the use of an e-learning system in King Faisal University, Saudi Arabia. The findings of this study offer valuable guidelines for practitioners, researchers and educators about the most important factors that enhance the use of e-learning systems in universities.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11576</text>
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                <text>10.3991/ijim.v14i03.11576</text>
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                <text>Copyright (c) 2020 Ahmed Almulhem</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 03 (2020); pp. 19-37</text>
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                <text>1865-7923</text>
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                <text>E-learning system</text>
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                <text>Saudi universities.</text>
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                <text>Exploring the Key Factors in the Use of an E-Learning System Among Students at King Faisal University, Saudi Arabia</text>
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                <text>Effendy, Faried</text>
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                <text>Kartono, Kartono</text>
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                <text>Herawatie, Dyah</text>
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                <text> This research aims to build a boarding house recommender system based on the Fuzzy TOPSIS method. This application can be utilized by the student community to discover a suitable boarding house. This research uses the classic life cycle (waterfall) as a software development model. The waterfall model consists of 5 stages, namely, communication, planning, modeling, construction, and deployment. In this study, we focus on the construction and deployment stage.To test and assess the system, we use a questionnaire filled by the respondents. Two arrangements of surveys created, one for the students and another for mobile application experts. We use ISO 9126 as a base to assess the system in terms of functionality, usability, content, reliability, and performance. As a result, these mobile apps graded 3.54 and categorized as an excellent system. This system is well-honorable and acknowledged by the student community, which gives a superior, simple method for promoting and reliable tool for finding appropriate boarding houses. The users recommend adding some features such as boarding communities, ratings, reviews so users can communicate with each other and increase the effectiveness and functionality of the application.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11574</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/11574/7381</text>
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                <text>Copyright (c) 2020 Faried Effendy, Kartono Kartono, Dyah Herawati</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 32-47</text>
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                <text>1865-7923</text>
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                <text>Boarding house</text>
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                <text>mobile application</text>
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                <text>Mobile Apps for Boarding House Recommendation</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Liestoel, Gunnar</text>
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                <text>2019-12-18</text>
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                <text>How may we best utilize mobile augmented reality for storytelling when reconstructing historical events onlocation? In this article we present a series of narrative design considerations when developing an augmented reality application recreating the assault on Omaha Beach in the early morning on D-Day. To what extent may we select existing genre conventions from, for example, documentary film, and adapt them to a location–based audio–visual medium like AR? How can we best combine sequence and access, the narrative flow of an unfolding historical event with the availability of background information, in order to enrich the experience of the story, but without distorting its coherence? To what extent may we draw from existing and well known media representations of the Omaha Beach landing? How was the battle documented with contemporary means? We present the rich documentation of photos, films, drawings, paintings, maps, action reports, official reports, etc., and discuss how these have been employed to create the published AR situated simulation. We also describe and discuss the testing and evaluation of the application on location with visitors, as well as online tracking of its current use.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11560</text>
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                <text>10.3991/ijim.v13i12.11560</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/11560/6267</text>
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                <text>Copyright (c) 2019 Gunnar Liestoel</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 196-209</text>
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                <text>1865-7923</text>
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                <text>Mobile augmented reality</text>
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                <text>augmented reality</text>
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                <text>Omaha Beach</text>
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                <text>Augmented Reality Storytelling – Narrative Design and Reconstruction of a Historical Event in situ</text>
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                <text>Ciesielkiewicz, Monika</text>
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                <text>Bonilla, Claire</text>
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                <text>Olave López de Ayala, Carlos</text>
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                <text>In this paper, the authors explore the potential of the electronic portfolio (ePortfolio) as a recruitment tool, in particular whether Human Resources directors would be willing to use it during the recruitment and selection process. The ePortfolio presents, documents, reflects on, and fosters students’ skills, credentials, certificates and diverse formal and informal experiences in a structured and well-organized manner. Because the ePortfolio is, by nature, flexible and adaptable, an ePortfolio developed with the help of professors over the course of a students' studies can easily be incorporated into professional networking platforms as a job search tool and showcase the skills required for a successful applicant. It is often said that the difference between what is taught in the academic world and the practical skills that are required by the business sector make it difficult for students to access the labor market. The ePortfolio may help to reconcile both worlds. In order to examine whether Human Resources directors are willing to use an ePortfolio as a recruitment tool, a survey was carried out among fifty-two Human Resources directors. The research findings reveal that an educational ePortfolio can count on significant approval in the business sector. This research study is relevant as it provides valuable information on this topic and it is the only one to date, conducted among HR directors in the context of Spanish-speaking countries.</text>
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                <text>Copyright (c) 2020 Monika Ciesielkiewicz, Claire Bonilla, Carlos Olave López de Ayala</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 03 (2020); pp. 95-106</text>
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                <text>1865-7923</text>
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                <text>The Potential of the ePortfolio as a Recruitment Tool: From the Perspective of HR Directors</text>
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                <text>Anwas, E. Oos Mukhamad</text>
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                <text>Sugiarti, Yuni</text>
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                <text>Permatasari, Anggraeni Dian</text>
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                <text>Anas, Zulfikri</text>
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                <text>Siswanto, Heni Waluyo</text>
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                <text>Rivalina, Rahmi</text>
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                <text>One of the obstacles of learning English Language as a Foreign Language is the limitation of practicing media. Social media has many contents and facilities which can be used for practicing English. The aim of this study is  to find out students’ intensity of using English-language social media content. The study was conducted by quantitative approach and survey method among the  Senior High School students in Jakarta, Indonesia. Data analysis shows that as students’ intensity who used English-language social media content is low. Students’ perception of English skill in reading and writing is good, while students’ perception of listening and speaking is still low. The intensity of using English-language social media content is positively and significantly related to students' perceptions of their ability to speak English including reading, writing, listening and speaking aspects. Hence, social media is needed to be learning media for learning English language as a Foreign Language in Indonesia.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11552</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/11552/6969</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="32437">
                <text>Copyright (c) 2020 E. Oos Mukhamad Anwas, Anggraeni Dian Permatasari, Yuni Sugiarti, Jaka Warsihna, Zulfikri Zulfikri, Leli Alhapip, Heni Waluyo Siswanto</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 07 (2020); pp. 41-57</text>
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              <elementText elementTextId="32439">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="32440">
                <text>social media</text>
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              <elementText elementTextId="32441">
                <text>English language skill</text>
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                <text>English language learning media</text>
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                <text>Social Media Usage for Enhancing English Language Skill</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
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              <elementText elementTextId="32398">
                <text>Christianah, Abikoye Oluwakemi</text>
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              <elementText elementTextId="32399">
                <text>Gyunka, Benjamin Aruwa</text>
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                <text>Oluwatobi, Akande Noah</text>
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                <text>Android operating system has become very popular, with the highest market share, amongst all other mobile operating systems due to its open source nature and users friendliness. This has brought about an uncontrolled rise in malicious applications targeting the Android platform. Emerging trends of Android malware are employing highly sophisticated detection and analysis avoidance techniques such that the traditional signature-based detection methods have become less potent in their ability to detect new and unknown malware. Alternative approaches, such as the Machine learning techniques have taken the lead for timely zero-day anomaly detections.  The study aimed at developing an optimized Android malware detection model using ensemble learning technique. Random Forest, Support Vector Machine, and k-Nearest Neighbours were used to develop three distinct base models and their predictive results were further combined using Majority Vote combination function to produce an ensemble model. Reverse engineering procedure was employed to extract static features from large repository of malware samples and benign applications. WEKA 3.8.2 data mining suite was used to perform all the learning experiments. The results showed that Random Forest had a true positive rate of 97.9%, a false positive rate of 1.9% and was able to correctly classify instances with 98%, making it a strong base model. The ensemble model had a true positive rate of 98.1%, false positive rate of 1.8% and was able to correctly classify instances with 98.16%. The finding shows that, although the base learners had good detection results, the ensemble learner produced a better optimized detection model compared with the performances of those of the base learners.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11548</text>
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                <text>10.3991/ijim.v14i09.11548</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/11548/7169</text>
              </elementText>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="32409">
                <text>Copyright (c) 2020 Akande Noah oluwatobi, Benjamin Aruwa Gyunka, Abikoye Oluwakemi Christianah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 09 (2020); pp. 61-78</text>
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              <elementText elementTextId="32411">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Android Malware Detection</text>
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                <text>Machine Learning Models</text>
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                <text>Base Learners</text>
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                <text>Reverse Engineering</text>
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                <text>Optimizing Android Malware Detection Via Ensemble Learning</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
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              <elementText elementTextId="32376">
                <text>Alaidi, Abdul Hadi</text>
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                <text>Yahya, Omar</text>
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                <text>Alrikabi, Haider TH.Salim</text>
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                <text>This New learning educational methods, which depending on Learning Management System (LMS), have been used by universities in the top education universities in the world. However, most of the Iraqi universities use the traditional education methods in the classroom. The purpose of this study was to examine the benefit of using LMS in higher education.  This study shows how to implement and use modern educational techniques in Engineering College of Wasit University. This paper shows that using modern education tools in the class lead to increase the productivity of student, save time with less effort for instructors with high accuracy of exam results. In addition, using LMS system allows students to obtain more information in a short time. Moreover, this system gives students an opportunity to interact with the instructor and among themselves. The findings show the benefits of integrating LMS in higher education and recommend other institutions to implement it.</text>
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                <text>10.3991/ijim.v14i06.11539</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/11539/6863</text>
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              <elementText elementTextId="32387">
                <text>Copyright (c) 2020 Haider Alrikabi, Abdul Hadi Alaidi, Omar Yahya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 82-94</text>
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                <text>1865-7923</text>
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                <text>Higher Education</text>
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              <elementText elementTextId="32391">
                <text>Learning Management System</text>
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                <text>Information and Communication Technology</text>
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              <elementText elementTextId="32393">
                <text>Canvas</text>
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                <text>Using Modern Education Technique in Wasit University</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alrikabi, Haider</text>
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                <text>Alaidi, Abdul Hadi</text>
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                <text>Nasser, Khalid</text>
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                <text>Energy consumption is a huge problem in Iraq, especially in government institutions. Many devices continue operating even after working hours. In this case study, by using IOT technology, we shall show it to be more efficient if we can control the main devices that are consuming a large amount of power.  Internet of things (IOT), therefore, is an exciting solution for managing energy consumption in Iraqi government buildings.The proposed system has been designed to wake up the devices to start operating at 7:00 AM. 7:00 AM is the standard start of the working day in Iraq. In our proposed system, the case study has been taken based on the universities and institutions. In the universities and institutions, the working day ends at 8:00 PM. This is when our proposed system is designed to power off the main devices. In addition, after 8:00 PM and before 7:00 AM, if there is any device still in operation, the system will send a notification to the manager of the institution.Our proposed system has been designed using Arduino mega as a main controller. Also, the module SIM800L GSM has been used to make the communication for notification cases, and the Relay 8 CH has been used as electronic switches for the devices.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11538</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              </elementText>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32366">
                <text>Copyright (c) 2020 Haider Alrikabi, Abdul Hadi Alaidi, Khalid Nasser</text>
              </elementText>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 01 (2020); pp. 152-160</text>
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              <elementText elementTextId="32368">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="32369">
                <text>Internet of Things (IOT)</text>
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              <elementText elementTextId="32370">
                <text>Power management</text>
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                <text>Global System for mobile communication (GSM).</text>
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            <name>Title</name>
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                <text>The Application of Wireless Communication in IOT for Saving Electrical Energy</text>
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            <description>The nature or genre of the resource</description>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="32330">
                <text>Nasution, Surya Michrandi</text>
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              <elementText elementTextId="32331">
                <text>Husni, Emir</text>
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              <elementText elementTextId="32332">
                <text>Kuspriyanto, Kuspriyanto</text>
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              <elementText elementTextId="32333">
                <text>Yusuf, Rahadian</text>
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              <elementText elementTextId="32334">
                <text>Mulyawan, Rahmat</text>
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            <description>An account of the resource</description>
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                <text>This paper proposed an application for Android smartphone to collect road information. That information will be extracted to acquire road width, so the drivers could use right alternate routes for their types of vehicle. Object and lane detection are both used for obtaining road width when lane boundaries are detected in road image otherwise, road width is obtained using a vanishing point method. The average error rate for road width measurement using object and lane detection is 19.71%. Meanwhile, the average error rate when there is no lane boundary is in the range of 10-15%, 8-18%, and 10-19% for various capturing sides. Reclassification of the road is done when the error rate of road width is set. Accuracy of road category reclassification is in the range of 70-75% in various sides.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11530</text>
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              <elementText elementTextId="32339">
                <text>10.3991/ijim.v14i02.11530</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
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              <elementText elementTextId="32341">
                <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/11530/6449</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32343">
                <text>Copyright (c) 2020 Surya Michrandi Nasution, Emir Husni, Kuspriyanto Kuspriyanto</text>
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          </element>
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              <elementText elementTextId="32344">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 02 (2020); pp. 42-61</text>
              </elementText>
              <elementText elementTextId="32345">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="32346">
                <text>Road Information</text>
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              <elementText elementTextId="32347">
                <text>Road Width</text>
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                <text>Object Detection</text>
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                <text>Lane Detection</text>
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                <text>Vanishing Point</text>
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                <text>Road Information Collector Using Smartphone for Measuring Road Width Based on Object and Lane Detection</text>
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            <name>Type</name>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="32307">
                <text>Samad Dahri, Abdul</text>
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              <elementText elementTextId="32308">
                <text>Al-Athwari, Ahmad</text>
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              <elementText elementTextId="32309">
                <text>Hussain, Azham</text>
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            <name>Date</name>
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              <elementText elementTextId="32310">
                <text>2019-11-15</text>
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                <text>Purpose: This study endorses AI enabled Mobile Health application and investigates usability evaluation of the Mobile Health application by patients’ task performance evaluation and satisfaction.Materials and Methods: International Organization for Standards (ISO) 9241-11 standard metrics were used and 15 patients performed tasks on task success rate, errors, efficiency (time spent), satisfaction (SUS scale).Results: Getting registered was a top easy task while finding a relevant doctor was the most difficult task for users. The satisfaction scores by SUS suggest good rather excellent application user experience. Male were successful task achievers, while educational level and mobile know-how influence the usability scores in terms of time consumed, task errors occurred, and task completed.Conclusion: Methods used in this study suggest future research from different contexts. Using ISO 9241-11 usability standards, the SUS instrument for satisfaction, and measuring user characteristics influence performance and can provide considerable Mobile Health design.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11513</text>
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              <elementText elementTextId="32314">
                <text>10.3991/ijim.v13i11.11513</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
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              <elementText elementTextId="32316">
                <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/11513/6031</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32318">
                <text>Copyright (c) 2019 Abdul Samad Dahri, Ahmaed Al-Athwari, Azham Hussain, Kamal Ab Hamid</text>
              </elementText>
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            <name>Source</name>
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              <elementText elementTextId="32319">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 213-225</text>
              </elementText>
              <elementText elementTextId="32320">
                <text>1865-7923</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32321">
                <text>Healthcare</text>
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              <elementText elementTextId="32322">
                <text>Mobile Health (mHealth)</text>
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              <elementText elementTextId="32323">
                <text>Usability</text>
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              <elementText elementTextId="32324">
                <text>Artificial Intelligence</text>
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              <elementText elementTextId="32325">
                <text>Developing countries.</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Usability Evaluation of Mobile Health Application from AI Perspective in Rural Areas of Pakistan</text>
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            </elementTextContainer>
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            <name>Type</name>
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                <text>Peer-reviewed Article</text>
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