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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Majeed Laftah, Muna</text>
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                <text>Image denoising is a technique for removing unwanted signals called the noise, which coupling with the original signal when transmitting them; to remove the noise from the original signal, many denoising methods are used. In this paper, the Multiwavelet Transform (MWT) is used to denoise the corrupted image by Choosing the HH coefficient for processing based on two different filters Tri-State Median filter and Switching Median filter. With each filter, various rules are used, such as Normal Shrink, Sure Shrink, Visu Shrink, and Bivariate Shrink. The proposed algorithm is applied Salt&amp;amp; pepper noise with different levels for grayscale test images. The quality of the denoised image is evaluated by using Peak Signal to Noise Ratio (PSNR). Depend on the value of PSNR that explained in the result section; we conclude that the (Tri-State Median filter) is better than (Switching Median filter) in denoising image quality, according to the results of applying rules the result of the Shrinking rule for each filter shows that the best result using first the Bivariate Shrink.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24183</text>
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                <text>10.3991/ijim.v15i15.24183</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/24183/9665</text>
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                <text>Copyright (c) 2021 Muna Majeed Laftah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 140-151</text>
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                <text>1865-7923</text>
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                <text>Denoising</text>
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                <text>Multiwavelet</text>
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                <text>Thresholding</text>
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                <text>Soft Thresholding</text>
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                <text>Image Denoising Using Multiwavelet Transform with Different Filters and Rules</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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                <text>B. A. Alaasam, Ameer</text>
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                <text>Smart industry systems are based on integrating historical and current data from sensors with physical and digital systems to control product states. For example, Digital Twin (DT) system predicts the future state of physical assets using live simulation and controls the current state through real-time feedback. These systems rely on the ability to process big data stream to provide real-time responses. For, example it is estimated that one autonomous vehicle (AV) could produce 30 terabytes of data per day. AV will not be on the road before using an effective way to managing its big data and solve latency challenges. Cloud computing failed in the latency challenge, while Fog computing addresses it by moving parts of the computations from the Cloud to the edge of the network near the asset to reduce the latency. This work studies the challenges in data stream processing for DT in a fog environment. The challenges include fog architecture, the necessity of loosely-coupling design, the used virtual machine versus container, the stateful versus stateless operations, the stream processing tools, and live migration between fog nodes. The work also proposes a fog computing architecture and provides a vision of the prerequisites to meet the challenges.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24181</text>
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                <text>10.3991/ijim.v15i15.24181</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/24181/9663</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="43907">
                <text>Copyright (c) 2021 Ameer B. A. Alaasam</text>
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          <element elementId="48">
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              <elementText elementTextId="43908">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 126-139</text>
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              <elementText elementTextId="43909">
                <text>1865-7923</text>
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            <name>Title</name>
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                <text>The Challenges and Prerequisites of Data Stream Processing in Fog Environment for Digital Twin in Smart Industry</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="43877">
                <text>Alsalam Ali, Nashwan</text>
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              <elementText elementTextId="43878">
                <text>Monem S. Rahma, Abdul</text>
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                <text>H. Shaker, Shaimaa</text>
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                <text>2021-08-11</text>
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                <text>The rapidly growing 3D content exchange over the internet makes securing 3D content became a very important issue. The solution for this issue is to encrypting data of 3D content, which included two main parts texture map and 3D models. The standard encryption methods such as AES and DES are not a suitable solution for 3D applications due to the structure of 3D content, which must maintain dimensionality and spatial stability. So, these problems are overcome by using chaotic maps in cryptography, which provide confusion and diffusion by providing uncorrelated numbers and randomness. Various works have been applied in the field of 3D content-encryption based on the chaotic system. This survey will attempt to review the approaches and aspects of the structure used for 3D content encryption methods for different papers. It found the methods that used chaotic maps with large keyspace are more robust to various attacks than other methods that used encryption schemes without chaotic maps. The methods that encrypting texture, polygon, and vertices for 3D content provide full protection than another method that provides partial protection.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24179</text>
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                <text>10.3991/ijim.v15i15.24179</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/24179/9673</text>
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            <name>Rights</name>
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            <elementTextContainer>
              <elementText elementTextId="43888">
                <text>Copyright (c) 2021 Nashwan Alsalam Ali, Abdul Monem S. Rahma, Shaimaa H.Shaker</text>
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              <elementText elementTextId="43889">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 115-125</text>
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              <elementText elementTextId="43890">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
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                <text>3D Content</text>
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                <text>Chaotic system</text>
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                <text>3D model.</text>
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                <text>Survey on 3D Content Encryption</text>
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            <name>Creator</name>
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              <elementText elementTextId="43856">
                <text>Alsalam Ali, Nashwan</text>
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                <text>S. Rahma, Abdul Monem</text>
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                <text>H. Shaker, Shaimaa</text>
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                <text>2021-08-11</text>
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                <text>The multimedia application developments in recent years lead to the widespread of 3D model applications. It becomes more popular in various fields as well as exchanging it over the internet. The security of the 3D models is a very important issue now a day, so the scheme for encrypting the 3D model will be proposed in this work. In this proposed scheme, the 3D polygon mesh model will be protected through the encrypting process based on a 3D Lorenz Chaotic map where the vertices value of the 3D polygon mesh model will be modified using 3D keys generated by 3D Lorenz Chaotic Map, which has excellent property and provides a good diffusion. The proposed scheme was implemented on various 3D models, which have a different number of vertices and faces. The experimental results show that the proposed scheme has good encryption results, which were noted through completely deforming and changing the whole shape of the 3D models. The Hausdorff Distance (HD) and histogram metrics are adopted to calculate the matching degree between the original and extracted model. The results show that the original and extracted model are identical through the values of HD, where they are approximately zero, and the histogram visually is identical.    </text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24177</text>
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                <text>10.3991/ijim.v15i15.24177</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>Copyright (c) 2021 Nashwan Alsalam Ali, Abdul Monem S. Rahma, Shaimaa H.Shaker</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 103-114</text>
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                <text>1865-7923</text>
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                <text>3D Lorenz Chaotic map</text>
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                <text>M. Zaki, Rana</text>
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                <text>Bahjat Abdul wahab, Hala</text>
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                <text>Copyright (c) 2021 Rana M. Zaki, Hala Bahjat Abdul wahab</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 127-143</text>
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                <text>1865-7923</text>
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                <text>— LTE</text>
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                <text>Cryptography</text>
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                <text>4G</text>
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                <text>Authentication</text>
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                <text>4G Network Security Algorithms: Overview</text>
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                <text>The task of network security is to keep services available at all times by dealing with hacker attacks. One of the mechanisms obtainable is the Intrusion Detection System (IDS) which is used to sense and classify any abnormal actions. Therefore, the IDS system should always be up-to-date with the latest hacker attack signatures to keep services confidential, safe, and available. IDS speed is a very important issue in addition to learning new attacks. A modified selection strategy based on features was proposed in this paper one of the important swarm intelligent algorithms is the Meerkat Clan Algorithm (MCA). Meerkat Clan Algorithm has good diversity solutions through its neighboring generation conduct and it was used to solve several problems. The proposed strategy benefitted from mutual information to increase the performance and decrease the consumed time. Two datasets (NSL-KDD &amp;amp; UNSW-NB15) for Network Intrusion Detection Systems (NIDS) have been used to verify the performance of the proposed algorithm. The experimental findings indicate that, compared to other approaches, the proposed algorithm produces good results in a minimum of time. </text>
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                <text>Copyright (c) 2021 Atheer R. Muhsen, Ghazwh G. Jumaa, Nadia F. AL Bakri, Ahmed T. Sadiq</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 158-171</text>
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                <text>1865-7923</text>
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                <text>Meerkat Clan Algorithm</text>
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                <text>Selection of features</text>
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                <text>Feature Selection Strategy for Network Intrusion Detection System (NIDS) Using Meerkat Clan  Algorithm</text>
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                <text>Alaidi, Abdul Hadi</text>
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                <text>Soong Der, Chen S</text>
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                <text>Weng Leong, Yeng</text>
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                <text>The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous function optimization problems by Karboga and Akay in 2009. ABC has been proven to be more effective than other biological-inspired algorithms with good exploration. However, ABC suffers from low exploitation and slow convergence in some cases. The ABC algorithm study has risen significantly over the past decade, with many researchers trying to improve ABC performance and apply it to solve problems. One method to enhance ABC is to borrow exploration technique from other algorithms. Researchers use pheromone, which is a technique used by Ant Colony optimization algorithm, to enhance ABC and addressed several aspects of using a pheromone to enhance the ABC. This systematic review aims to review and analysis articles about using pheromone to enhance ABC. Articles on related topics were systematically searched in four major databases namely Scopus, Web of Science, Association for Computing Machinery ACM and Google Scholar. To ensure that all research articles were considered the start date is not restrictions the search carry out till February 2021.Five articles were selected based on our inclusion and exclusion criteria for the systematic review. The results show that the use Pheromone to enhance ABC can increase the ABC exploitation ability and overcoming the late convergence. This paper also illustrates several potential pheromone using for future work.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 172-180</text>
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                <text>1865-7923</text>
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                <text>Harum, Norharyati Binti</text>
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                <text>M. S. K, Nur’aliah Izzati</text>
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                <text>Emran, Nurul Akmar</text>
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                <text>Abdullah, Noraswaliza</text>
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                <text>Zakaria, Nurul Azma</text>
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                <text>Hamid, Erman</text>
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                <text>Anawar, Syarulnaziah</text>
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                <text>The issue of lacking reference books in braille in most public building is crucial, especially public places like libraries, museum and others. The visual impairment or blind people is not getting the information like we normal vision do. Therefore, a multi languages reading device for visually impaired is built and designed to overcome the limitation of reference books in public places. Some research regarding current product available is done to develop a better reading device. This reading device is an improvement from previous project which only focuses on single language which is not suitable for public places. This reading device will take a picture of the book using 5MP Pi camera, Google Vision API will extract the text, and Google Translation API will detect the language and translated to desired language based on push buttons input by user. Google Text-to-Speech will convert the text to speech and the device will read out aloud in through audio output like speaker or headphones.   A few testings have been made to test the functionality and accuracy of the reading device. The testings are functionality, performance test and usability test. The reading device passed most of the testing and get a score of 91.7/100 which is an excellent (A) rating.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24139</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/24139/10041</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="43772">
                <text>Copyright (c) 2021 Norharyati Binti Harum, Nur’aliah Izzati M. S. K, Nurul Akmar Emran, Noraswaliza Abdullah, Nurul Azma Zakaria, Erman Hamid, Syarulnaziah Anawar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 19 (2021); pp. 79-92</text>
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              <elementText elementTextId="43774">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Book reader</text>
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                <text>image-text conversion</text>
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                <text>Text-to-speech</text>
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                <text>Google Cloud</text>
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                <text>Artificial Intelligence</text>
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                <text>Visual Impairment People</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Development of Multi-Language Interactive Device using Artificial Intelligence Technology for Visual Impairment Person</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="43733">
                <text>Nazar, Muhammad</text>
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                <text>Rusman</text>
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                <text>Puspita, Kana</text>
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                <text>Yaqin, Husnul</text>
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                <text>2022-02-10</text>
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            <description>An account of the resource</description>
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                <text>This study aimed to develop an Android learning media on the concept of redox as an effective, efficient, practical, real-time learning media and in accordance with the facilities owned by students and evaluate the quality and usability of the app. The approach used in this research was a quantitative approach in the form of development research, while the model used was the Hannafin and Peck (1988) model. The data of this study were collected from the process of development, expert evaluations (expert reviews), and small group evaluation. 20 students of the chemistry education study program at a university in Indonesia volunteered to use and evaluate the app, Data was collected by using questionnaires. The results indicated that the quality of the application obtained from expert review was 94.7%. Furthermore, the small group evaluation shows that the usability of RedoksPro version 1.1 scored 86.7. The Android-based learning media of redox concept (RedoksPro application version 1.1) could be utilized as a mobile learning resource in learning the specific concept of reduction and oxydation reactions.</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="43740">
                <text>https://online-journals.org/index.php/i-jim/article/view/24133</text>
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              <elementText elementTextId="43741">
                <text>10.3991/ijim.v16i03.24133</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="43742">
                <text>eng</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="43743">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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              <elementText elementTextId="43744">
                <text>https://online-journals.org/index.php/i-jim/article/view/24133/10723</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43745">
                <text>Copyright (c) 2022 Muhammad Nazar, Rusman Rusman, Kana Puspita, Husnul Yaqin</text>
              </elementText>
              <elementText elementTextId="43746">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="43747">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 03 (2022); pp. 123-135</text>
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              <elementText elementTextId="43748">
                <text>1865-7923</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43749">
                <text>Mobile learning</text>
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              <elementText elementTextId="43750">
                <text>redox</text>
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              <elementText elementTextId="43751">
                <text>chemistry</text>
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              <elementText elementTextId="43752">
                <text>learning media</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43753">
                <text>Android-Based Mobile Learning Resource for Chemistry Students in Comprehending the Concept of Redox Reactions</text>
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            </elementTextContainer>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>info:eu-repo/semantics/publishedVersion</text>
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                <text>Peer-reviewed Article</text>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <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="43710">
                <text>Ali, Irwan Mohammad</text>
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              <elementText elementTextId="43711">
                <text>Mohd Nawi, Mohd Nasrun</text>
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              <elementText elementTextId="43712">
                <text>Hamid, Md Yusof</text>
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              <elementText elementTextId="43713">
                <text>A Jalil, Fazly Izwan</text>
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              <elementText elementTextId="43714">
                <text>Hussain, Baharinshah</text>
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                <text>2021-11-19</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Facilities Management (FM) industry players must be mindful of the current economic digitisation. It aims to empower the community and industry players with digital skills and digital-based businesses. Positively, this also will benefit FM industry players. Therefore, many FM organisations are starting to take advantage on IoT, big data analytics and mobile phone application in their activities. This paper utilised a literature review to discover the application of IoT, big data analytics and mobile application in FM processes. Then, a case study on Al Nabooda Chulia Facilities Management Co LLC (AN.C) success story as the recipient of Urbanise Smart City Pioneer Award 2017 were cross-examined on the tools they use in digitisation FM. The novelty from the integration of IoT, big data analytics and mobile phone application towards digitisation FM has significantly reducing management costs and improving facilities performance and service quality. The paper highlight an example of digitisation of FM activities that successfully optimising and innovating the current FM practices with the paradigm shift from cost management towards value creation in the future.</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="43718">
                <text>https://online-journals.org/index.php/i-jim/article/view/24115</text>
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              <elementText elementTextId="43719">
                <text>10.3991/ijim.v15i22.24115</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>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="43721">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="43722">
                <text>https://online-journals.org/index.php/i-jim/article/view/24115/10269</text>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43723">
                <text>Copyright (c) 2021 Irwan Mohammad Ali, Mohd Nasrun Mohd Nawi, Md Yusof Hamid, Fazly Izwan A Jalil, Baharinshah Hussain</text>
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              <elementText elementTextId="43724">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 22 (2021); pp. 154-164</text>
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              <elementText elementTextId="43725">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>IoT</text>
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              <elementText elementTextId="43727">
                <text>Facilities Management</text>
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                <text>mobile application.</text>
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              <elementText elementTextId="43729">
                <text>Integration of IoT, Data Analytics and Mobile Application towards Digitisation Facilities Management: A Case Study</text>
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