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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Irawan, Yuda</text>
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                <text>Wahyuni, Refni</text>
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                <text>-, Muhardi</text>
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                <text>Fonda, Hendry</text>
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                <text>Luthfi Hamzah, Muhammad</text>
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                <text>Muzawi, Rometdo</text>
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                <text>The presence of large peatland in Riau, Indonesia, could cause air pollution due to peatland fires which causes the presence of thick smoke every year in Riau,  dis-rupting human activities. In order to monitor the air quality, in this paper,  the main advantage of the  Internet of Things (IoT) is the ability to transfer data over the network without requiring human-to-human or human interaction to the com-puter   used. In this paper, we propose an air quality monitor that can display web-based information to show the temperature and air humidity, and detects CO, CO2 gases, and alcohol in real time with the help of DHT11 and MQ135 sensors, Arduino Uno and Raspberry Pie. The results show our proposed system can successfully show each parameter of the air quality on the website and make suggestions about the overall air quality level. With our proposed system, we hope the government can respond faster to mitigate the bad air quality level and give information to public about the air quality level in a faster and more accurate way.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20707</text>
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                <text>Copyright (c) 2021 Yuda Irawan, Refni Wahyuni, Muhammad Luthfi Hamzah, Elsayed T. Helmy, Rachmad Andri Atmoko</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 224-240</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Air Quality</text>
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                <text>IoT</text>
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                <text>Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Kassim, Murizah</text>
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                <text>A Bakar, Ahmad Syafiq Aiman</text>
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                <text>Public bus transportation has become an integral part of society, but the disrup-tion of bus services is one of the major concerns. This project presents the devel-opment of Smart Bus Transportation using Augmented Reality (TRANSPAR) that was developed on a mobile application. One of the major issues with public transportation is on real-time responsiveness. Most bus schedules are presented online but customers still faced many failures. Some bus schedules are not updat-ed when changes happened through time. Some existing bus schedules system is fixed to the bus stations. This research is to identify the bus schedules and its routes characteristics. A 3D AR animation based on identified characteristics was designed using the Unity 3D image marker detection on a mobile Android plat-form. A smartphone application was developed using Vuforia and Google Fire-base. TRANSPAR shows an AR mobile application for acquiring the bus time-tables. The phone camera is applied for marker image detection and scanning the bus station’s images. AR and normal image scanner were designed. Google Fire-base Database is used to retrieve and store each timetable data for every bus sta-tion. Analysis of interactivity and benefits of TRANSPAR shows about 90% agreed on the use of AR and more than 76% agreed on its functionality based on 50 taken samples. This shows a positive impact on the designed TRANSPAR. The research is significant to encourage and experience the public with new tech-nological application for public transportation and it impact the society.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22071</text>
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                <text>10.3991/ijim.v15i17.22071</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/22071/9881</text>
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            <name>Rights</name>
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              <elementText elementTextId="42122">
                <text>Copyright (c) 2021 Murizah Kassim, Ahmad Syafiq Aiman A Bakar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 33-48</text>
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                <text>1865-7923</text>
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                <text>Augmented Reality</text>
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                <text>Mobile application.</text>
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                <text>The Design of Augmented Reality Using Unity 3D Image Marker Detection for Smart Bus Transportation</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="20104">
                <text>Baloch, Hasnain Zafar</text>
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                <text>Abdul Rahman, Azizah</text>
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              <elementText elementTextId="20106">
                <text>A Ihad, Noorminshah</text>
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                <text>Smart Mobile Devices (SMD) are there for many years but using them as learning tools started to emerge as new research area. The trend to merge collaborative learning methodology by using mobile devices in informal context is important for implementation of Learner Centric Learning (LCL). Survey and numerous studies show that more than 95% of students in colleges are users of these smart mobile devices in developed world. Developing counties are also catching up and we can see this percentage is almost same in university level in these countries. Students are using SMDs for learning in some form. Higher education Institutions also try to embark their E-learning to Mobile learning (ML). The aim of this paper is to do propose operational framework for designing Mobile Collaborative Informal learning activities using SMDs. Show results of experimental and case study done to study the Mobile Collaborative Informal learning using Activity Theory (AT). Core Components of framework are Mobile Learning Activities/Objects, Wireless/Mobile Smart devices, Collaborative knowledge and Collaborative learning. The research mention here is its infancy stage.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/2090</text>
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                <text>10.3991/ijim.v6i3.2090</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/2090/2280</text>
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              <elementText elementTextId="20115">
                <text>Copyright (c) 2017 Hasnain Zafar Baloch, Azizah Abdul Rahman, Noorminshah A Ihad</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 6 No. 3 (2012); pp. 34-41</text>
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              <elementText elementTextId="20117">
                <text>1865-7923</text>
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                <text>Mobile Learning Design</text>
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                <text>Mobile Collaborative learning Objects</text>
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                <text>Collaborative learning</text>
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                <text>Informal learning.</text>
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                <text>Mobile Collaborative Informal Learning Design: Study of collaborative effectiveness using Activity Theory</text>
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                <text>Ali, Irwan Mohammad</text>
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                <text>Mohd Nawi, Mohd Nasrun</text>
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                <text>Hamid, Md Yusof</text>
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                <text>Hussain, Baharinshah</text>
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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>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 22 (2021); pp. 154-164</text>
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                <text>Copyright (c) 2018 Nurbiha A Shukor, Norasykin Mohd Zaid, Norasykin Mohd Zaid, Fatimah Sarah Yaacob, Fatimah Sarah Yaacob, Mohd Nihra Haruzuan Mohd Said, Mohd Nihra Haruzuan Mohd Said, Aede Hatib Musta'amal, Aede Hatib Musta'amal, Desi Rahmatina, Desi Rahmatina</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 8 (2018); pp. 30-40</text>
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                <text>In this paper a new assertion constraint model is proposed and implemented. The model is designed to enforce and maintain the integrity constraints in mobile database and object data model environments. It has an object assertion model for integrity constraints which it is used to create classes and collect attributes and their constraints that are derived from multiple composition or inheritance hierarchies. Also it has a compile-time model which keeps the derivation path along with the attributesâ?? relationships. Furthermore, the run-time model enforces integrity constraints, enforcing the logical integrity constraints during the run-time. And a new technique is designed to check the object metadata to detect the object violation before it occurs. However, the model is implemented and tested over set of definitions that check attribute values validity and objects for object-oriented and mobile databases.</text>
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                <text>Copyright (c) 2017 Belal Mohammad Zaqaibeh, Firas Ali Albalas, Awajan W A</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 6 No. 2 (2012); pp. 39-46</text>
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                <text>1865-7923</text>
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                <text>Constraints violation</text>
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                <text>Designing a New Assertion Constraints Model for Mobile Databases</text>
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                <text>Benita K, Ruby</text>
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                <text>Kumar S, Ganesh</text>
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                <text>B, Murugamantham</text>
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                <text>A, Murugan</text>
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                <text>Tracking drugs became more difficult using the centralized architecture. Decentralized architecture using blockchain technology overcomes the difficulties faced by the centralized network like availability and recovery. Avoiding duplicate or fake drugs created by fake manufacturers is a big challenge in the centralized network. Authentic stock is managed and the supply chain is tracked efficiently using this blockchain technology. This is addressed by using the smart contract which helps to track the movement of drugs from manufacturer to supplier, supplier to the reseller, reseller to pharmacies and finally pharmacies to patient. By default, duplicate drugs or fake drugs are completely avoided by using the blockchain technology. Patients buy drugs without any prescription and it creates a lot of problems in real life. So, Patients cannot buy drugs without authenticated doctor’s prescriptions with the help of a QR Code scanner attached with the prescription which will be implemented using a mobile application and cannot buy excess drugs which might lose someone’s life. With the help of inventory management, the maximum limit of drugs to avoid overdose and pharmacies cannot sell those overdose drugs. Consulting a doctor before buying a drug for even a simple illness is important and it is tracked by using prescriptions provided by authentic doctors. In this project, these challenges are addressed using the smart contract which is written in solidity language and runs on a public ethereum network.</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/16561/7999</text>
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                <text>Copyright (c) 2020 Ruby Benita K, Ganesh Kumar S, Murugamantham B, Murugan A</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 20-32</text>
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                <text>1865-7923</text>
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                <text>transactions</text>
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                <text>ethereum.</text>
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                <text>Authentic Drug Usage and Tracking with Blockchain Using Mobile Apps</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>P, Rajesh</text>
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                <text>A, Murugan</text>
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                <text>B, Murugamantham</text>
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                <text>S, Ganesh Kumar</text>
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                <text>Cancer has become very common in this evolving world. Technology advancements, increased radiations have made cancer a common syndrome. Various types of cancers like Skin Cancer, Breast Cancer, Prostate Cancer, Blood Cancer, Colorectal cancer, Kidney Cancer and Lung Cancer exits. Among these various types of cancers, the mortality rate is high in lung cancer which is tough to diagnose and can be diagnosed only in advanced stages. Small cell lung cancer and non-small cell lung cancer are the two types in which non-small cell lung cancer (NSCLC) is the most common type which makes up to 80 to 85 percent of all cases [1]. Digital Image Processing and Artificial Intelligence advancements has helped a lot in medical image analysis and Computer Aided Diagnosis(CAD). Numerous research is carried out in this field to improve the detection and prediction of the cancerous tissues. In current methods, traditional image processing techniques is applied for image processing, noise removal and feature extraction. There are few good approaches that applies Artificial Intelligence and produce better results. However, no research has achieved 100% accuracy in nodule detection, early detection of cancerous nodules nor faster processing methods. Application of Artificial Intelligence techniques like Machine Learning, Deep Learning is very minimal and limited. In this paper [Figure 1], we have applied Artificial intelligence techniques to process CT (Computed Tomography) Scan image for data collection and data model training. The DICOM image data is saved as numpy file with all medical information extracted from the files for training. With the trained data we apply deep learning for noise removal and feature extraction. We can process huge volume of medical images for data collection, image processing, detection and prediction of nodules. The patient is made well aware of the disease and enabled with their health tracking using various mobile applications made available in the online stores for iOS and Android mobile devices.</text>
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                <text>Copyright (c) 2020 Rajesh P, Murugan A, Murugamantham B, Ganesh Kumar S</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 189-203</text>
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                <text>1865-7923</text>
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                <text>Lung Cancer</text>
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                <text>CAD</text>
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                <text>Artificial intelligence</text>
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                <text>K-means</text>
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                <text>CNN and CT scan.</text>
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                <text>Lung Cancer Diagnosis and Treatment Using AI and Mobile Applications</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="27933">
                <text>Rao, Santhosha</text>
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                <text>A, Smitha</text>
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                <text>Kulkarni, Kunal</text>
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                <text>In recent years, the proliferation of the Internet of Things (IoT) has kick started the home and office automation in a very rapid manner. The paper demonstrates a cost effective implementation of an IoT system for managing the visitors in an office environment. The automation system comprises low cost NodeMCU based Wireless Transmitter, NodeMCU based Wireless Display Unit and an android mobile phone. The mobile phone also serves as wireless Access Point to which the Wireless Transmitter and the Wireless Display Units are wirelessly connected for exchanging the messages using UDP protocol. The Wireless Transmitter and the Wireless Display Units are kept in the visitor’s waiting area. The consulting person possesses an android mobile phone in which the automation software is installed. The visitor enters a message using the Wireless Transmitter and notes down the acknowledgement token number sent by the automation software. When the consulting person checks this message, the same token number is sent to the Wireless Display Unit signaling the visitor to consult the person.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9476</text>
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                <text>10.3991/ijim.v12i6.9476</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/9476/5253</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="27944">
                <text>Copyright (c) 2018 Santhosha Rao, Smitha A, Kunal Kulkarni</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 6 (2018); pp. 112-123</text>
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              <elementText elementTextId="27946">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Internet of Things (IoT)</text>
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                <text>Office automation</text>
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                <text>Smart Phone based Cost Effective Visitor Management System for Smart Offices</text>
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              <elementText elementTextId="48588">
                <text>Alnusyan, Ruba</text>
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                <text>Almotairi , Ruba</text>
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              <elementText elementTextId="48590">
                <text>Almufadhi, Sarah</text>
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              <elementText elementTextId="48591">
                <text>A. Al-Shargabi, Amal</text>
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              <elementText elementTextId="48592">
                <text>F. Alshobaili, Jowharah</text>
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                <text>Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30169</text>
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                <text>10.3991/ijim.v16i08.30169</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/30169/11169</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="48601">
                <text>Copyright (c) 2022 Ruba Alnusyan</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 79-93</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>user reviews</text>
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                <text>sentiment analysis</text>
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                <text>topic modeling</text>
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                <text>visualisation</text>
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                <text>Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews</text>
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