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                <text>El-Seoud, Samir Abou</text>
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                <text>Much of our scientific, technological, and economic future depends on the availability of an ever-increasing supply of computational power. However, the increasing demand for such power has pushed electronic technology to the limit of physical feasibility and has raised the concern that this technology may not be able to sustain our growth in the near future. It became important to consider an alternative means of achieving computational power. In this regard, DNA computing was introduced based on the usage of DNA and molecular biology hardware instead of the typical silicon based technology. The molecular computers could take advantage of DNA's physical properties to store information and perform calculations. These include extremely dense information storage, enormous parallelism and extraordinary energy efficiency. One of the main advantages that DNA computations would add to computation is its self - parallel processing while most of the electronic computers now use linear processing. In this paper, the DNA computation is reviewed and its state of the art challenges and applications are presented. Some of these applications are those require fast processing, at which DNA computers would be able to solve the hardest problems faster than the traditional ones. For example, 10 trillion DNA molecules can fit in one cubic centimeter that would result in a computer that holds 10 terabytes of data. Moreover, this work focuses on whether a large scale molecular computer can be built.</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/6564/4358</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, Reham Fouad Mohamed, Samy Ghoneimy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 74-87</text>
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                <text>1865-7923</text>
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                <text>DNA Computing</text>
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                <text>DNA Computing: Challenges and Application</text>
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                <text>AbdelFattah, Mohamed</text>
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                <text>Galal, Dahab</text>
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                <text>Hassan, Nada</text>
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                <text>Tallent, Greg</text>
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                <text>Sentiment Analysis (SA) or Opinion Mining is the process of analysing natural language texts to detect an emotion or a pattern of emotions towards a certain product to make a decision about that product. SA is a topic of text mining, Natural Language Processing (NLP) and web mining disciplines. Research in SA is currently at its peak given the amount of data generated from social media networks. The concept is that consumers are expressing exactly what they need, want and expect from a product but on the other hand the companies don’t have the tools to analyse and understand these feelings to satisfy these consumers accordingly. One of the applications that generate a high rate of reactions and sentiments in social networks is Instagram. This study focuses on analysing the reactions generated by the top 50 fashion houses on Instagram given their top 20 images with the highest number of likes. The approach taken in this study is to qualify the visual aesthetics of fashion images and to establish why some succeed on social media more than others. The basic question asked in this paper is whether there are certain visual aesthetics that appeal more to the user and are therefore more successful on social media than others as determined by a measure we introduce, ‘Social Value’. To do so, a sentiment analysis tool is developed to measure the proposed social value of each image. An input of comments from each image will be processed. Each comment will go through a pre-processing phase; each word will be placed through a lexicon to identify if it is positive or negative. The output of the lexicon is a score value assigned to each comment to identify its degree of positivity, negativity, or it has no effect on the social value. Adding to these results, the number of likes and shares would also be taken into consideration quantifying the image’s value. A cumulative result is then produced to determine the social value of an image.</text>
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                <text>Copyright (c) 2017 Mohamed AbdelFattah, Dahab Galal, Nada Hassan, Doaa Elzanfaly, Greg Tallent</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 66-73</text>
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                <text>1865-7923</text>
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                <text>Sentiment Analysis</text>
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                <text>Instagram</text>
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                <text>A Sentiment Analysis Tool for Determining the Promotional Success of Fashion Images on Instagram</text>
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                <text>El-Seoud, Samir Abou</text>
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                <text>Big data is currently one of the most critical emerging technologies. Big Data are used as a concept that refers to the inability of traditional data architectures to efficiently handle the new data sets. The 4V’s of big data – volume, velocity, variety and veracity makes the data management and analytics challenging for the traditional data warehouses. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and selfsufficient. The integrating big data with cloud computing technologies, businesses and education institutes can have a better direction to the future. The capability to store large amounts of data in different forms and process it all at very large speeds will result in data that can guide businesses and education institutes in developing fast. Nevertheless, there is a large concern regarding privacy and security issues when moving to the cloud which is the main causes as to why businesses and educational institutes will not move to the cloud. This paper introduces the characteristics, trends and challenges of big data. In addition to that, it investigates the benefits and the risks that may rise out of the integration between big data and cloud computing.</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, Hosam F. El-Sofany, Mohamed Ashraf Fouad Abdelfattah, Reham Mohamed</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 34-52</text>
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                <text>1865-7923</text>
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                <text>Big Data and Cloud Computing: Trends and Challenges</text>
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                <text>In this work, we present a framework to integrate the functionalities of the Enterprise Resource Planning (ERP) with the University academic and management functionalities at the British University in Egypt , in order to produce a University Resource Planning (URP) that facilitates the integration between educational and management processes within higher educational institutions.Our ERP systems should be enabled to:Automate admissions. Eliminate manual processes and save significant staff time by enabling prospective students to apply online through a self-service portal. Provide one-stop student access. Allow students to enroll, register, and pay for courses through the portal.Simplify records management. With a single system for all your data needs—and a single digital record for each student—any department on campus can find the student information they need.Engage faculty. Give faculty the means to enter and update grades, and have personalized access to timely, accurate, and institution-wide information.Manage resources. Manage personnel, funds and processes more transparently.Strengthen decision-making. Track the metrics you need to guide day-to-day operations, meet reporting requirements, and engage your organization.Keywords:  Integrated management systems for higher education, eLearning, MOODLE, cloud technology, systems integrity</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="24551">
                <text>Copyright (c) 2017 Samir Abou El-Seoud, Eslam Ahmed AboGamie, Mostafa Salama</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 24-33</text>
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                <text>1865-7923</text>
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                <text>Integrated Education Management System via Cloud Computing</text>
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                <text>Basid, Puspa Miladin Nuraida Safitri A</text>
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                <text>Tolle, Herman</text>
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                <text>Ramdani, Fatwa</text>
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                <text>The government initiative in the implementation of smart city concept is an effort in the management of a city. In the governance of a town, public service is one of the most important aspects. Improving public services requires public role because the society is the direct users of public services. One role of the community in improving public service is to provide information or complaint to the government. However, the media where the public reports such information has yet been optimum. Therefore, the researcher assumed that the public needs certain media as well as some support system where they can make complaints related to public service. The support system is in the form of e-complaint system installed on smartphones equipped with geotagging techniques to determine exactly where the complaint is made (location) and geofencing method to determine which territory the complaint belongs to. In this study, the researcher explained the process of designing module for geotagging and geofencing-based e-complaint system. Several experiments were conducted to find out the accuracy of these techniques. With 94% accuracy, geofencing was a suitable technique to apply. In addition, geotagging techniques using EXIF of a digital image was considered the most suitable technique for the e-complaint system rather than other geotagging techniques.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6557</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/6557/4388</text>
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            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24531">
                <text>Copyright (c) 2017 Puspa Miladin Nuraida Safitri A Basid, Herman Tolle, Fatwa Ramdani</text>
              </elementText>
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              <elementText elementTextId="24532">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 113-129</text>
              </elementText>
              <elementText elementTextId="24533">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="24534">
                <text>geofencing</text>
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                <text>geotagging</text>
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                <text>Designing Module E-Complaint System Based on Geotagging and Geofencing</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Halabi, Osama</text>
              </elementText>
              <elementText elementTextId="24495">
                <text>Elseoud, Samir A.</text>
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              <elementText elementTextId="24496">
                <text>Alja'am, Jihad M.</text>
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              <elementText elementTextId="24497">
                <text>Alpona, Hena</text>
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              <elementText elementTextId="24498">
                <text>Al-Hemadi, Moza</text>
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              <elementText elementTextId="24499">
                <text>Al-Hassan, Dabia</text>
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                <text>Individuals in the Autism Spectrum often encounter situations where they have to respond to questions and situations that they do not know how to respond to, such as, questions asked by strangers including ones related to daily-life activities. A variety of research has been done to improve social and communication impairments in children with autism using technology. Immersive virtual reality is a relatively recent technology with a potential to bring an effective solution and used as a therapeutic tool to develop different skills. This paper presents a virtual reality solution to reduce the gap experienced by autistic children due to their inability to establish a communication. An interactive scenario-based system that uses role-play and turn-taking technique was implemented to evaluate and verify the effectiveness of immersive environment on the social performance of an autistic child. Preliminary testing of the system demonstrated the feasibility of VR-based system as a took for improving the communication skill in Autism Spectrum Disorder (ASD) children. The results of the comparative usability study show the effectiveness of immersive VR in motivating and satisfying the autistic.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6555</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/6555/4365</text>
              </elementText>
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          </element>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24508">
                <text>Copyright (c) 2017 Osama Halabi, Samir A. Elseoud, Jihad M. Alja'am, Hena Alpona, Moza Al-Hemadi, Dabia Al-Hassan</text>
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              <elementText elementTextId="24509">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 146-158</text>
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                <text>1865-7923</text>
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                <text>Autism spectrum disorder</text>
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              <elementText elementTextId="24512">
                <text>communication skill</text>
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                <text>immersion</text>
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                <text>social performance</text>
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            <description>A name given to the resource</description>
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                <text>Immersive Virtual Reality in Improving Communication Skills in Children with Autism</text>
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                <text>Hathout, Basma Badawi</text>
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                <text>Ghoniemy, Samy</text>
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              <elementText elementTextId="24474">
                <text>Ibrahim, Osman</text>
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                <text>In spite of all the advantages delivered by cloud computing, several challenges are hindering the migration of customer software and data into the cloud. On top of the list is the security and privacy concerns arising from the storage and processing of sensitive data on remote machines that are not owned, or even managed by the customers themselves. In this paper, initially a homomorphic encryption-based Cryptographic Agent is proposed. The proposed Cryptographic Agent is based on Paillier scheme, and is supported by user-configurable software protection and data privacy categorization agents, as well as set of accountable auditing services required to achieve legal compliance and certification. This scheme was tested using different text documents with different sizes. Testing results showed that as the size of the document increases, the size of the generated key increases dramatically causing a major problem in regards to the processing time and the file size especially for large documents. This leaded us to the second part of this research which is: a modified security architecture that adds two major autonomic security detective agents to the multi-agent architecture of cloud data storage. In this paper, we focus on the first agent namely (Automated Master Agent, AMA) that is added to the Multi Agent System Architecture (MASA) layer (cloud client-side) by which any changes happen in the document are mapped in a QR code encoded key print (KP). Experimental results after integrating these agents showed a 100% alternation detection accuracy and a superiority in extracting the KP of large and very large size documents which exceeds the currently available products and leverage the tamper-proof capabilities of cryptographic coprocessors to establish a secure execution domain in the computing cloud that is physically and logically protected from unauthorized access.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6553</text>
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                <text>10.3991/ijim.v11i2.6553</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/6553/4361</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24483">
                <text>Copyright (c) 2017 Basma Badawi Hathout, Samy Ghoniemy, Osman Ibrahim</text>
              </elementText>
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          </element>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 6-23</text>
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              <elementText elementTextId="24485">
                <text>1865-7923</text>
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                <text>cloud data storage and processing security</text>
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              <elementText elementTextId="24487">
                <text>document key print</text>
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                <text>homomorphic encryption</text>
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                <text>QR Codes</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Currently, cloud computing is facing different types of threats whether from inside or outside its environment.  This may cause cloud to be crashed or at least unable to provide services to the requests made by clients. In this paper, a new technique is proposed to make sure that the new node which asks to join the cloud is not composing a threat on the cloud environment. Our new technique checks the node before it will be guaranteed to join the cloud whether it runs malwares or software that could be used to launch an attack. In this way the cloud will allow only the clean node to join it, eliminating the risk of some types of threats that could be caused by infected nodes.</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2017 Ashraf Hamdan Aljammal, Hani Bani-Salameh, Ayoub Alsarhan, Mohammad Kharabsheh, Mamoon Obiedat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 55-65</text>
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                <text>1865-7923</text>
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                <text>Cloud computing</text>
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                <text>Network security</text>
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                <text>Node scanning.</text>
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                <text>Node Verification to Join the Cloud Environment Using Third Party Verification Server</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Indriasari, Theresia Devi</text>
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                <text>Anindito, Kusworo</text>
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                <text>Pangaribuan, Bertha Laroha Paraya</text>
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                <text>Indonesia is a country located on top of some tectonic plates that bring potential natural disasters. Disaster management system is considered essential in controlling the situation in the site both before and after the disaster takes place. In disaster situation, the government and society are involved in a volunteer team in order to help minimize victims and support survivors. However, the volunteering activities are often hindered since there are problems in the disaster site. One of the problems is late responses due to poor coordination among volunteers that drives the delay in disaster relief. Therefore, it is necessary to have an application that maps the positions of volunteers in a disaster site, so that the disaster management coordinator can disseminate volunteers to disaster areas based on needs. The purpose of the study is to propose an application called ‘MyMapVolunteers’ that effectively and efficiently detects the position of the volunteers in order to improve disaster management service. In this case, real time and location based service technology will able to detect the position of each volunteer. ‘MyMapVolunteers’ is composed of two platforms, which are mobile and web applications. Mobile platform is an application that uses GPS function provided by the smartphone to find the volunteers’ location coordinates and then send the data of the location automatically and manually. The web platform is used to receive volunteers’ location data and to present them in google map, therefore disaster management coordinator can monitor the positions of and search for volunteers faster.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6477</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/6477/4387</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="24437">
                <text>Copyright (c) 2017 Theresia Devi Indriasari, Kusworo Anindito, Eddy Julianto, Bertha Laroha Paraya Pangaribuan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 98-112</text>
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              <elementText elementTextId="24439">
                <text>1865-7923</text>
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                <text>disaster management</text>
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                <text>location based service</text>
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                <text>smartphone</text>
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                <text>volunteers</text>
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                <text>A Mobile and Web Application for Mapping Disaster Volunteers’ Position in Indonesia</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
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                <text>Husni, Emir</text>
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                <text>Problems related to fuel consumption efficiency are likely to occur in a car rental company. A system for the Internet of Things – VISCar to monitor fuel consumption on Android mobile application is proposed to solve the problem. The VISCar has four features, including driving behavior analysis, monitoring, notification, and location and route to the gas station. This system consists of three subsystems: connector, server, and user interface. Car’s engine data is scanned by OBDII and sent via Bluetooth to Raspberry Pi then passed using 3G connection to the server and being stored. The data can be accessed by users through a mobile application via MQTT and processed on server for analysis. The test results show VISCar has been successfully built and implemented to monitor fuel consumption efficiency for the car rental company.</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/6473/4390</text>
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              <elementText elementTextId="24413">
                <text>Copyright (c) 2017 Emir Husni</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 78-97</text>
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              <elementText elementTextId="24415">
                <text>1865-7923</text>
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                <text>Bluemix</text>
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                <text>Fuel Efficiency</text>
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                <text>Gas Station Location</text>
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                <text>IoT</text>
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                <text>Driving and Fuel Consumption Monitoring with Internet of Things</text>
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