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                  <text>Internet of Things and Artificial Intelligence Journal</text>
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                <text>Rahma, Felinda Aprilia</text>
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                <text>Diniyati, Faoziyah Fahiya</text>
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                <text>Hidayah, Septi Oktaviani Nur</text>
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                <text>Tahyudin, Imam</text>
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                <text>MTs Muhammadiyah Pekuncen is one of the MTs in the Banyumas Regency area where each year determines superior students and gets a 50% tuition discount for these students, with the aim of motivating students to become even better. Excellent students are students with high achievement, noble character and good behavior. Determination of superior students at MTs Muhammadiyah Pekuncen is still done manually, namely by deliberation between the teacher council which results in differences of opinion. Therefore we need a system that can determine superior students fairly without taking sides with any party and can be accepted by teachers and students. In this study, it will produce data on students who are selected to be superior students with 5 criteria including attitude, attendance, social, activity and achievement based on the AHP algorithm process. With the existence of a Decision Support System using the Analytical Hierarchy Process method it is proven to produce accurate values in determining superior students at Mts Muhammadiyah Pekuncen with a total value of 0.4464 a class IX student named Seftria Salsabila Putri was selected as a superior student.</text>
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                <text>https://pubs.ascee.org/index.php/iota/article/view/564</text>
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                <text>Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal</text>
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                <text>Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]; 122-132</text>
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                <text>2774-4353</text>
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                <text>Excellent Student</text>
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                <text>Decision Support System for Muhammadiyah Pekuncen Islamic Junior High School in Determining Excellent Students Using the AHP Method</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Ninghardjanti, Patni</text>
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                <text>Dirgatama, Chairul Huda Atma</text>
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                <text>Education is expected to be a solution to issues in human resource development. A number of initiatives have been made to overcome educational problems ranging from improving the curriculum, developing and increasing the quality of teachers, developing student abilities, and other efforts related to improving the quality of education. Based on the preliminary observation, students’ critical thinking skills were considered low and a confirmatory study related to building critical thinking skills is necessary. This study analyzed critical thinking skills that are built based on perceptions of mobile media, self-directed learning, and digital literacy. The research method used was a quantitative approach by using a questionnaire instrument.. Data analysis included analyses of prerequisite tests including validity and reliability tests. The data were analyzed using the structural equation model (SEM) analysis. The results showed that 1) there was a positive and significant effect on the variable of perceptions on online learning media on self-directed learning and digital literacy, 2) there was a positive and significant effect on the variable of self-directed learning on critical thinking skills 3) there was a positive and significant effect on the variable of digital literacy on critical thinking skills 4) the variable of the perceptions on mobile-based learning media had a positive and significant effect on critical thinking skills through the mediation of self-directed learning and digital literacy.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23801</text>
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                <text>10.3991/ijim.v15i17.23801</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/23801/9883</text>
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                <text>Copyright (c) 2021 Patni ninghardjanti, Chairul Huda Atma Dirgatama</text>
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              <elementText elementTextId="43606">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 49-68</text>
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                <text>1865-7923</text>
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                <text>perception</text>
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                <text>interactive media</text>
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                <text>Building Critical Thinking Skills Through a New Design Mobile-Based Interactive Learning Media Knowledge Framework</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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              <elementText elementTextId="22607">
                <text>Dirin, Amir</text>
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              <elementText elementTextId="22608">
                <text>Nieminen, Marko</text>
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                <text>In this paper, we propose the mLUX framework, a model based on the user-centered design (UCD) framework, which is specifically for the development of m-learning applications. We present the results of four case studies conducted to develop m-learning applications in which the proposed mLUX framework was applied. The main goal of the proposed mLUX framework is to ensure that the stakeholders, especially students, recognize that m-learning applications are learning media that fulfill their essential educational requirements. We begin by reviewing the literature on the contributions to mobile learning usability made in various conferences and journals from 2002 to 2010. This review helped identify and recognize the methodology used to develop mobile learning applications during this period. Based on the literature review, as the empirical case studies, four m-learning applications are examined to demonstrate the performance of the proposed framework for the development of m-learning applications. We apply three distinct measurement criteria to assess the performances of the mLUX framework. This paper also argues that emotional factors, such as the user’s enjoyment, adjustability, and reliability, are significant design issues in m-learning.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/4446</text>
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                <text>10.3991/ijim.v9i3.4446</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/4446/3543</text>
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              <elementText elementTextId="22617">
                <text>Copyright (c) 2017 Amir Dirin, Marko Nieminen</text>
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          <element elementId="48">
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 3 (2015); pp. 37-51</text>
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              <elementText elementTextId="22619">
                <text>1865-7923</text>
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                <text>Usability</text>
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                <text>User-Centered Design</text>
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                <text>Mobile Learning</text>
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                <text>mLUX: Usability and User Experience Development Framework for M-Learning</text>
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              <elementText elementTextId="40044">
                <text>Dirin, Amir</text>
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              <elementText elementTextId="40045">
                <text>Saballe, Charlese Adriana</text>
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                <text>2022-01-18</text>
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                <text>Selecting a proper study path in higher education is a difficult task for many students. They either have a lack of knowledge on the study path offered or are unsure of their interest in the various options. The current educational setups enable us to collect valid and reliable data on student success and learning behaviour. This study explores and solves the problem of what path to select by proposing possible study paths with the help of machine learning algorithms.  Learning analytics (LA) and educational data mining (EDM) are technologies that aid in the analysis of educational data. In this quantitative study, we applied a questionnaire to collect data from students at the Business Information Technology Department (Bite) at the Haaga-Helia University of Applied Science. We managed to collect 101 samples from students during 2017–2018. We used various machine learning algorithms and prediction models to assess the best approach for study path selection.  We applied three performance scores of accuracy, Cohen’s Kappa, and ROC curve to measure the accuracy of the algorithm results. KNIME analytics was selected as a proper tool to pre-process, prepare, analyse, and model the data. The results indicate that Random Forest (94% accuracy) and Decision Tree (93% accuracy) are the best classification models for students’ study path selection. The contribution of this study is for educational data mining research to assess the comparison of various algorithms. Furthermore, this is a novel approach to predict students’ study path selection, which educational institutes should develop to assist students in their study path selection.</text>
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                <text>Copyright (c) 2021 Altti Lagstedt, Amir Dirin, Päivi Williams</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 134-154</text>
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                <text>1865-7923</text>
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                <text>Quality Practitioners’ Differing Perspectives on Future Software Quality Assurance Practices</text>
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                <text>Wohllebe, Atilla</text>
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                <text>Dirrler, Phyllis</text>
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                <text>Podruzsik, Szilárd</text>
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                <text>With the increasing relevance of smartphones, more and more companies are trying to use mobile apps for their business purposes. At the same time, the digital transformation and online trade are putting increasing pressure on the stationary retail trade. Many retailers are therefore looking for ways to use mobile apps to attract new customers or retain existing ones. With the growing number of mobile apps in the app marketplaces, the sustainable loyalty of app users is becoming an increasing challenge. For retailers, the question arises as to which determinants influence consumer acceptance of mobile apps in retail. From an initial 44,800 search results at Google Scholar, 18 scientific papers are analyzed in a qualitative synthesis by means of a systematic review based on the PRISMA schema. In general, perceived value, practical benefits and user-friendliness are identified as determinants. In addition, the importance of linking the mobile app to the stationary POS and the function of mobile apps in retail more as digital shopping assistants and less as online stores is highlighted. The retailer who publishes the app itself also plays an important role in the consumer acceptance of the app.</text>
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              <elementText elementTextId="38864">
                <text>Copyright (c) 2020 Atilla Wohllebe, Phyllis Dirrler, Szilárd Podruzsik</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 153-164</text>
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                <text>1865-7923</text>
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                <text>Mobile Apps in Retail: Determinants of Consumer Acceptance – A Systematic Review</text>
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              <elementText elementTextId="16225">
                <text>Diso, Lukman Ibraheem</text>
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                <text>This paper compares the M-Learning programmes of the two largest (in terms of network coverage) and pioneering mobile service providers (MTN and CELTEL/V-Mobile in Nigeria.  It examines their services within the context of a generally deteriorating learning environment.  It also compares the extent of their compliance with the transmission code of the Nigeriaâ??s regulatory agency, the Nigerian Communications Commission (NCC).  Unstructured interview, content analysis, and observation are the major instruments used to collect all data for this study.  All the data collected through these instruments are carefully analyzed vis-à-vis the Nigerian environment and the mobile service transmission regulatory provisions.</text>
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                <text>Copyright (c) 2017 Lukman Ibraheem Diso</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 1 (2008)</text>
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                <text>1865-7923</text>
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                <text>Celtel-Nigeria</text>
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                <text>Mobile Service Providers and M-learning in Nigeria: Mobility in a Contracting Space</text>
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                  <text>Artha Journal of Social Sciences</text>
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                <text>In today’s world, digital technology enables us to access knowledge from anywhere, anytime and learn at our pace. This online learning process when made interactive and collaborative can lead to effective learning. Synchronous online learning satisfies these requirements of online and distant learning with focus on the quality of instruction and how effectively learners are engaged. As the name implies, synchronous learning allows instruction and learning to happen in real-time, but not necessarily in the same place. It provides all the advantages of digital, online and distant learning with an added benefit of bringing human interaction to the learning environment which is not available in an asynchronous learning platform. This paper focuses on using synchronous learning environment to enhance mathematics learning. While an abundant source of materials are available online related to mathematics, support from the teacher is always an added advantage especially since mathematics includes problem-solving and logical reasoning. The students will remain engaged and motivated in a synchronous learning environment than in an asynchronous one since immediate feedback is highly appreciated by the students when faced with a critical and challenging concept. If both the teacher and the students are familiar with the use of the synchronous technology tools, synchronous learning can combine the benefits of both face-to-face and online digital learning while bringing the learners together through collaborative learning. Collaboration brings in new ideas and methods of learning. Hence it is inevitable that the present educators make use of this opportunity to humanize online and distant learning by familiarizing themselves with efficient tools and making use of the discoveries and inventions in the field of education, computer science, anthropology, and psychology. There are many tools and software packages available for implementing synchronous learning, and the choice depends on the type of interactions and the pedagogy preferred by the teacher.</text>
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                <text>Artha Journal of Social Sciences; Vol. 14 No. 1 (2015): Artha Journal of Social Sciences; 27-36</text>
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                <text>Enhancing Math Learning Using Synchronous Online Teaching</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Divayana, Dewa Gede Hendra</text>
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                <text>Through the use of information technology, the students no longer find it difficult to look for sources/learning materials, interact and discuss with each other any time and any where they are.  One form of the roles of information technology which can facilitate students in individual learning, group learning and learning together with the teacher in the classroom and outside of the classroom is blended learning. The fact in schools shows that not all of the learning process can be optimized by using blended learning. Therefore, there is a need to evaluate comprehensively any time and any where they are (evaluators). For this purpose, the appropriate evaluation model to be used is mobile phone-based CIPP. By using this model, then the evaluator can study evaluating the use of blended learning overall through of the context, input, process and product that will be able to provide appropriate recommendations for the improvement of the learning process using blended learning in school.</text>
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                <text>Copyright (c) 2017 Dewa Gede Hendra Divayana, Dewa Bagus Sanjaya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 149-159</text>
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                <text>1865-7923</text>
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                <text>Mobile Phone-Based CIPP Evaluation Model in Evaluating the Use of Blended Learning at School in Bali</text>
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                <text>Divayana, Dewa Gede Hendra</text>
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                <text>2020-12-11</text>
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                <text>The selection of a suitable platform to facilitate online learning in social distancing becomes a very important thing to maintain the quality and smoothness of the learning process was carried out at home. Some educational evaluation models were able to be used to provide recommendations in choosing an online learning platform that was suitable to use in social distancing, such as CIPP, Countenance, and CSE-UCLA. However, those models are only able to provide recommendations based on narrative evaluation components so raised different understandings and high subjectivity in its implementation in the field. Those models haven’t formulas that specifically and accurately provide quantitative results in determining the most priority platforms is used in online learning. Therefore, it is essential to know there is a new formula in the field of educational evaluation to determine the suitable platform for online learning that is done at home. One of the new formulas that can be used and contributed to solving problems in the field of educational evaluation is the DIVAYANA formula. This formula can show an accurate calculation mechanism in determining one of the platforms that the most priority from the various choices of online learning platforms. The purpose of this research was to show the mechanism for calculating the DIVAYANA formula to determine the priority platform suitable for online learning. This research used an evaluative approach that focused on the nominate stage in the DIVAYANA model because the DIVAYANA formula is located in that nominate stage. Eighty respondents were involved in the initial data collection by evaluating the platform selection criteria for online learning. The subjects who were involved in testing the effectiveness of the DIVAYANA formula were eight experts. Questionnaires were used as the initial data collection tools and testing tools for the effectiveness of the DIVAYANA formula. The method was used to analyze the data of effectiveness test results on the DIVAYANA formula was by comparing that test results with the effectiveness standard that refers to five scales. The results of the effectiveness test showed the percentage of effectiveness level was 89.79%. It means that the DIVAYANA formula is effective to use in determining priority platforms suitable for online learning at home.</text>
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                <text>Copyright (c) 2020 Dewa Gede Hendra Divayana</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 50-75</text>
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                <text>1865-7923</text>
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                <text>DIVAYANA Formula</text>
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                <text>Utilization of DIVAYANA Formula in Evaluating of Suitable Platforms for Online Learning in the Social Distancing</text>
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