IJIE (Indonesian Journal of Informatics Education)
IJIE (Indonesian Journal of Informatics Education) is is a scientific journal promoting the study of, and interest in, informatics education. The journal publishes empirical papers on information systems, informatics, the use of technology learning, and distance learning. It is an international journal published by the Informatics Education Department, Faculty of Teacher Training and Education, Universitas Sebelas Maret, Indonesia bi-annually on June and December (ISSN: 2549-0389 (Online))
Articles
104 Documents
<![CDATA[The Impact of Disruptive Technologies on Higher Education in Indonesia ]]>
<![CDATA[Ishaq, Usep Mohamad]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v5i1.42310
<![CDATA[This paper will analyze the extent of predictions to what extent the disruption predicted by Christensen has influenced the dynamics of universities in Indonesia and whether we have readiness in facing the disruption era and what strategies need to be taken so that universities can survive and carry out their role as important educational institutions in National development. The method used in this study is to study literature and collect quantitative data from various official sources including official reports from the Indonesian Ministry of Research and Technology and Higher Education and then process the data. The result of the study shows that disruptive technology has a negative impact only on learning institutions closely related to specific professions. However, the impact not so much shown in general.]]>
<![CDATA[A Comparative Study of Digital Image Segmentation Algorithms for Acute Myeloid Leukemia M1 White Blood Cells Images ]]>
<![CDATA[Prakisya, Nurcahya Pradana Taufik]]>;
<![CDATA[Setiawan, Andika]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v4i2.48448
<![CDATA[Various types of algorithms have been widely used for image segmentation in digital image processing. Every algorithm has features that make it unique to be applied to specific cases. One of the applications of image segmentation is to detect white blood cells. Certain objects such as blood cells must be able to be well segmented because their existence is very crucial to support the accuracy of disease detection related to haematology or the branch of medical science that studies the morphology of blood and blood-forming tissues. Three image segmentation algorithms were compared through this study: Seed Region Growing, Otsu Thresholding and Active Contour Without Edge. Comparative analysis of the three algorithms was done by counting the number of white blood cell objects that were successfully segmented with the actual number of cells that were counted manually. A total of 30 images of blood smears were taken from people suffering from acute myeloid leukemia M1. The average accuracy values from each algorithm were used to determine which image segmentation algorithm is the most suitable for application in the case of white blood cells segmentation. The results showed that Active Contour Without Edge is the most appropriate among the other algorithms]]>
<![CDATA[Active Learning Strategies in Synchronous Online Learning for Elementary School Students ]]>
<![CDATA[Hatta, Puspanda]]>;
<![CDATA[Aristyagama, Yusfia Hafid]]>;
<![CDATA[Yuana, Rosihan Ari]]>;
<![CDATA[Yulisetiani, Septi]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v4i2.46019
<![CDATA[The Covid-19 pandemic gives an impact on education field. The face-to-face learning pattern in schools has shifted to distance learning which is carried out online. The implementation of online learning during the pandemic forces a digital transformation in education, causing several problems, two of which are technology and human resources. This article discusses the appropriate online learning strategies to use during a pandemic, especially for synchronous interaction models. Qualitative research with a narrative approach was used to explore teachers' experiences in learning, especially those related to the form of interaction between teachers and students during the Covid-19 pandemic. Active learning was chosen based on the results of observations and literature review through journal articles and proceedings that discuss interactive distance learning methods. Active learning strategies assisted by video conferencing applications that can be applied in online learning in elementary schools include: the use of Student Response Systems; Think Pair Share; One Minute Paper; Small Group Discussion; and Short Student Presentations.]]>
<![CDATA[Investigating Nomophobia as a Predictor of Smartphone Addiction among Nigerian Pre-service Mathematics Teachers ]]>
<![CDATA[AWOFALA, ADENEYE OLAREWAJU]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v4i2.40021
<![CDATA[Nomophobia and smartphone addiction are behavioural disorders that are maladaptive and affect 21st-century digital natives anywhere, everywhere. This study investigated nomophobia as a predictor of smartphone addiction among Nigerian pre-service mathematics teachers within the framework of quantitative methodology of non-experimental correlational research design. The participants consisted of 300 pre-service mathematics teachers randomly selected from the Department of Science and Technology Education, University of Lagos, Nigeria. Four research questions were answered in the study using the statistical tools of frequency, percentage, mean, standard deviation, Pearson product-moment correlation coefficient, and multiple regression analysis. Results showed that majority of the pre-service mathematics suffered from nomophobia and smartphone addiction. There was a positive relationship between smartphone addiction and nomophobia and nomophobia was a significant predictor of smartphone addiction among pre-service mathematics teachers. Based on these findings it was concluded that universities and parents in Nigeria should find a way of reducing the prevalence of nomophobia and smartphone addiction in pre-service mathematics teachers in the country.]]>
<![CDATA[Full Pages - Vol 5 Issue 1 | June 2021 ]]>
<![CDATA[IJIE, Editor]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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<![CDATA[The Effectiveness of Problem-Based Learning Assisted by EdPuzzle on Students’ Critical Thinking Skills ]]>
<![CDATA[Mayang, Gendhis Cikal]]>;
<![CDATA[Efendi, Agus]]>;
<![CDATA[Taufik Prakisya, Nurcahya Pradana]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v5i1.47264
<![CDATA[This research aims to determine the differences in students’ critical thinking skills between the class that applies problem-based learning model through Edpuzzle and the class that applies expository learning model. The method used is quantitative quasi-experimental design using pre-test and post-test control. The sample of this research was participated by 66 students. They were selected by applying the technique of cluster random sampling. The data was obtained from the result of pre-test and post-test based on the indicator of critical thinking skills. The result showed that there were differences and an increase in the critical thinking skills of students who applied the problem-based learning learning model assisted by edpuzzle compared to the expository model It is proven by the result of the 1st hypothesis test through t-test which the post-test result shows the score of 0,014, which means the score is less than the error level of 0,05. Therefore, it can be concluded that both of the classes have significant differences (H0 is rejected). On the other, the 2nd hypothesis test that used the gain test indicates the score of 0,41 for the experimental class and the score of 0,28 for the control class, which means there is a significant increases in the critical thinking skills of both classes.]]>
<![CDATA[Exploration of Critical Thinking Skills in Digital Citizenship Course Through Online Learning ]]>
<![CDATA[Herwati, Titan Istiah]]>;
<![CDATA[Basori, Basori]]>;
<![CDATA[Hatta, Puspanda]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 4, No 1 (2020): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v4i1.44580
<![CDATA[Low critical thinking skills cause students difficulty in solving problem, especially in learning. This study aims to find out the effectiveness of google classroom on critical thinking skills in Simulation dan Digital Communication. A total of 62 students participated in this research who were divided into two randomized treatments, namely 31 students in the experimental class and 31 students in the control class. In its implementation, it would compare using LMS google classroom by applying discussion groups to experimental class and control class that use google classroom, not in discussion groups. This research used a quasi experimental design with a pretest-posttest using a quantitative method. The data were collected through a critical thinking test. Before using multiple-choice pretest and posttest multiple-choice tests, instruments were tested first using validity tests and reliability tests. Google classroom as an independent variable and the dependent variable was critical thinking. Implementing learning with the help of google classroom through discussion and question features was an effort to effectively improve critical thinking skills in class. According to the result of the study, google classroom has effectiveness on critical thinking skills from the result in the experimental class of 45.609 Increased critical thinking skills in students cause students to analyze and solve problems.]]>
<![CDATA[Implementation of the C4.5 Algorithm to Predict Student Achievement at SMK Negeri 6 Surakarta ]]>
<![CDATA[Putri, Giovanni Anggiesta]]>;
<![CDATA[Maryono, Dwi]]>;
<![CDATA[Liantoni, Febri]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v4i2.47124
<![CDATA[Data mining is a knowledge used to get information from multiple data. C.45 Algorithm is one of data mining algorithm to classify data to many categories. Implementation of data mining not only could be used in industrial section but it could be used to in educational section (educational data mining) to help teacher and student improve their learning quality. This research purposed to know the implementation of data mining to predict student achievement from many factors could be effected . The research use Knowledge Discovery in Database method and it would be analyzed by accuration calculated from classify model that be form. Result of the research is the rules that formed by the decision tree and it could predict student achievement . Teacher could use it to give special treatment to student who got not good prediction.]]>
<![CDATA[Twitting the Public Sentiment on the Jakarta Online Zoning System ]]>
<![CDATA[Ratnawati, Tyas]]>;
<![CDATA[Iljas, Nuphanudin]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v5i1.49718
<![CDATA[In 2018, the zoning system policy began to be rolled out in the New Student Admissions system in Indonesia. Until now, it is still a topic of heated debate. The Jakarta Online Zoning System, for example, is one of the issues. This study investigates and analyzes the Jakarta Online Zoning System policy 2020 using the Noorderhaven theory of eight steps in the decision-making process. The goal is to observe and evaluate in-depth a policy. The data taken came from tweets on Twitter for the period of June-July 2020. Twitter was chosen because the latest topics were always discussed by the public. In addition, Twitter has an advanced search that serves as a means to retrace these topics. Data were analyzed through content analysis. From the results, it was found that the series of policies for the Jakarta Online Zoning System 2020 had applied the eight steps in the decision-making process technique. In addition, the internet has become a virtual community building medium that has great power to evaluate policy performance.]]>
<![CDATA[The Effectiveness and effect of Project-Based Blended Learning on Student Achievement in Online Learning at Surakarta, Indonesia ]]>
<![CDATA[Salma, Winda Annisa]]>;
<![CDATA[Basori, Basori]]>;
<![CDATA[Hatta, Puspanda]]>
<![CDATA[ IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education) ]]>
Publisher : <![CDATA[Universitas Sebelas Maret ]]>
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DOI: 10.20961/ijie.v5i1.44029
<![CDATA[Educational technology has a role in the education era 4.0, one of which is utilizing technology-based learning in learning activities in the form of learning applications based on project tasks, namely the Project-Based Blended Learning method. This article aims to get the influence of Project-Based Blended Learning to use on the achievement of students. This study was quantitative research using a pretest-posttest control design. The sample of the study were 72 students. The data were collected by random cluster sampling divided into groups or classes. The hypothesis tests were the independent sample t-test and the gain normalization test based on significant grade 0,05. The result showed significant differences and improvement in student achievement when using the Project-Based Blended Learning from conventional methods in pandemic Covid-19. The result was proven by the hypothesis tests using the T-test that the post-test was 0,000 (0,000<0,05), so the differences in student outcomes between experimental class from control class were found. The gain normalization showed that the experimental class got 0,49 and the control class got 0,16. It can be concluded that there is an improvement in student achievement in the experimental and control classes. Therefore the use of Project-Based Blended Learning contributes more influence to the achievement of students]]>
