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IJIE (Indonesian Journal of Informatics Education)
Published by Universitas Sebelas Maret
ISSN : -     EISSN : 25490389     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering
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))
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Articles 119 Documents
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Combining Flipped Classroom and Mind Mapping in Indonesian Vocational Schools: Their Influence to Students’ Critical Thinking Ability Roni Agung Nugroho; Basori Basori; Dwi Maryono
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 1 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i1.44727

Abstract

The main problem of students in solving problems is the low ability to think. This study aims to improve students' critical thinking skills and measure the effectiveness of the combination of flipped classroom learning models and mind mapping. This research method used is a quantitative approach with a quasi-experimental design. The sample from this study was 31 students from the experiment class and 31 students from the control class. Data collection is done through critical thinking tests. Before using multiple-choice pre-tests and post-tests, instruments are tested first using validity tests and reliability tests. The results showed that the critical thinking abilities of students in the experiment class through the combined learning of flipped classroom models and mind mapping were higher than the control class, interpreted from the post-test score of the experiment class 77.6 while the control class got a score of 71.4. From the effectiveness of the experiment, class learning also got a score gain of 40.4947 with a fairly effective category, while the control class gained a score gain of 38.0115 with ineffective categories.
Assessing Lecturers’ Acceptance towards Online Learning System: The Institutional Theory Perspective Anggraini Candra Kusuma; Basori Basori; Cucuk Wawan Budiyanto
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.47271

Abstract

This research aims to assess the lecturers’ acceptance level in using the Online Learning System (SPADA). The institutional theory is an extension of the Technology Acceptance Model (TAM), which is it analyzed variables of perceived usefulness, perceived ease of use, coercive pressure, normative pressure, mimetic pressure and behavior intention. This research used quantitative research design with survey method. Meanwhile, the sampling technique used cluster random sampling. The respondents of this research were lecturers who had applied SPADA at a state university in Central Java. In this research, the assessment of the questionnaire used the Likert scale. Besides, the tests used instrument test, classic assumption test, multiple regression analysis, and hypothesis testing by using SPSS. The result shows that from the six hypotheses that had been tested, the hypotheses of H1, H2, H3, H4 have no significant influence and the hypotheses of H5 and H6 have significant influence. It means the lecturers who have high social status are influencing others lecturers who have low social status in adopting SPADA although all variables have contribution in influencing the lecturers on behavior intention to adopt SPADA. It indicates the social factor is being attention in analyzing behavior intention in adopting technology.
The Impact of Disruptive Technologies on Higher Education in Indonesia Usep Mohamad Ishaq
IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v5i1.42310

Abstract

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.
Predicted Student Study Period with C4.5 Data Mining Algorithm Agus Supriyanto; Dwi Maryono; Febri Liantoni
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.46265

Abstract

Data of alumni from 2012 to 2015 found that the average percentage of students graduating on time was 22%. The comparison between the number of students who graduate on time and new students who enter each year is not comparable, therefore a study is needed to find out the factors that affect student graduation and to prediction of the graduation period of the student through data mining research using the C4.5 algorithm. The data tested was student alumni data from 2012 to 2015. The instruments studied include study period, academic year, GPA, corner focus, gender, intensity of work during college, type of thesis, intensity of campus internal organization, intensity of external organization of campus, UKT group, scholarship status, pre-college education, hobby intensity, intensity of game play, academic competition participation status, non-academic competition participation status, and availability of facilities and infrastructure. The best test results using percentage-split 75% obtained 83.33% accuracy as well as the rules contained in the decision tree.
Vocational Pre-Teacher Students' Perceptions on Online Learning During Covid-19 Pandemic in Java, Indonesia: Benefits, Challenges, and Suggestions Towip Towip; Yuyun Estriyanto; Ngatou Rohman; Suharno Suharno; Nugroho Agung Pambudi
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.46879

Abstract

Online learning has increased rapidly in Indonesia's higher education since the government enforced to combat the spread of COVID-19. However, inequality in implementation has become an issue in several countries. In Indonesia, with archipelagic and mountainous topography has several challenges. Therefore, the present study is aimed to evaluate and analyze the benefits, challenges, and suggestions of online learning in Indonesia for future improvement. A total of 271 students were surveyed and provided complete information regarding the survey. Quantitatively, the instrument of the survey data is analyzed by using SPSS software. Qualitatively, data from open-ended participants' responses were analyzed by qualitative content analysis to explore the findings from the survey. The result showed that online learning was more efficient, provided easy communication, improve students' engagement, and developed their virtual learning skills. However, it was also found that the overall students were still unsatisfied since the uneven infrastructures of internet connectivity and learning arrangements not good enough. In line with this, media, processes, facilitators skills, and assessments needed further improvement. Students’ suggestions for improving online learning quality are discussed as well.
Are the Keyboards Weightier than the Biros? The Effect of Computer-Based Testing on Students’ Achievement and Anxiety in Mathematics ADENEYE OLAREWAJU AWOFALA
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 1 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i1.40023

Abstract

Are the keyboards weightier than the biros? This question is the focus of the present study in which the investigation of the modes of testing in mathematics (computer-based testing-CBT and paper-based testing-PBT) was carried out using mathematics achievement and mathematics anxiety as dependent measures. Through a pre-test post-test experimental research, the study tested two null hypotheses at 0.05 level of significance using an independent samples t-test. The study lasted for four weeks in two Nigerian senior secondary schools. Results showed that there was no statistically significant difference between the mean mathematics achievement scores of students tested by the computer-based test and the paper-based test. Also, there was no significant difference between the mean mathematics anxiety scores of students tested by the computer-based test and the paper-based test. The implication of these results is that assessing students using the two modes showed no variations in their achievement and anxiety in mathematics. Thus, the mode of testing showed no differential effect on students’ learning outcomes in mathematics. Based on the findings of this study, government at levels in Nigeria need to put in place the enabling environment and infrastructural facilities needed for schools to benefit fully from the advantages inherent in the CBT mode of assessment.
Front Matter - Vol 5 Issue 1 | June 2021 Editor IJIE
IJIE (Indonesian Journal of Informatics Education) Vol 5, No 1 (2021): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

EDITORIAL BOARDAssoc. Prof. Dr. Noraidah Sahari (SCOPUS ID : 57202221836)Mr. Aulia Syahidi (SCOPUS ID: 26423275000)Dr. Felix Tan  (SCOPUS ID: 52365026300)Dr. Somchai Watcharapunyawong Dr. Darius Antoni (SCOPUS ID: 57202154493)Rosihan Ari Yuana, S. Si, M. Kom (SCOPUS ID: 56958616100)Endar S Wihidayat (SCOPUS ID : 57201078876)Prof. Nurdin, Ph.D. (SCOPUS ID: 54881753300) 
A Comparative Study of Digital Image Segmentation Algorithms for Acute Myeloid Leukemia M1 White Blood Cells Images Nurcahya Pradana Taufik Prakisya; Andika Setiawan
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.48448

Abstract

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
Active Learning Strategies in Synchronous Online Learning for Elementary School Students Puspanda Hatta; Yusfia Hafid Aristyagama; Rosihan Ari Yuana; Septi Yulisetiani
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.46019

Abstract

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.
Investigating Nomophobia as a Predictor of Smartphone Addiction among Nigerian Pre-service Mathematics Teachers ADENEYE OLAREWAJU AWOFALA
IJIE (Indonesian Journal of Informatics Education) Vol 4, No 2 (2020): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v4i2.40021

Abstract

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.

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