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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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A Comparative Study of Machine Learning Models for Sentiment Analysis of Dana App Reviews Yudianto Sujana
IJIE (Indonesian Journal of Informatics Education) Vol 7, No 2 (2023): IJIE (Indonesian Journal of Informatics Education) - December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v7i2.93132

Abstract

Sentiment analysis of user reviews has become increasingly important for mobile app developers, as it can provide valuable insights into customer satisfaction and guide the improvement of app features. In this study, we compared the performance of three machine learning models - Support Vector Machine, Neural Network, and Bidirectional Long Short-Term Memory - in classifying the sentiment of user reviews for the Dana mobile application. Our results showed that the Bi-LSTM model outperformed the other models, achieving the highest accuracy, precision, recall, and F1-score. The superior performance of the Bi-LSTM model can be attributed to its ability to capture long-term dependencies and contextual information within the review text, which is crucial for accurate sentiment analysis. These findings highlight the effectiveness of deep learning techniques in handling the complexities of language and sentiment analysis, particularly in the context of user-generated content. The insights from this study can inform the development of more accurate and efficient sentiment analysis tools for mobile app reviews, ultimately benefiting both app developers and users.
Development of Android-based Interactive Multimedia in Python Basic Programming Material for Grade 10 Senior High School Tiara Nisya Gayatri; Dwi Maryono; Rosihan Ari Yuana
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 1 (2024): IJIE (Indonesian Journal of Informatics Education) - July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i1.75959

Abstract

This research is motivated by the use of learning media that still does not meet the needs of students and raises several learning problems in the informatics learning process, especially basic programming material. students feel bored and have difficulty understanding the material presented by the teacher so more learning hours are needed. This study aims to develop Android-based interactive learning media on Python basic programming material for grade 10 high school. This study uses the Research and Development (R&D) method with the ADDIE development model. The ADDIE development model consists of 5 stages, namely: (1) Analysis, (2) Design, (3) Development (4) Implementation, and (5) Evaluation. Data collection techniques used were interviews, questionnaires, and literature studies. The analysis technique used is a quantitative descriptive analysis technique. The interactive features developed are interesting Python basic programming materials with learning videos, live code, and quizzes. The results of application validation assessment by media experts were declared very feasible with a percentage score of 94.05% and the results of validation assessment by material experts were declared feasible with a percentage score of 75%. Student response assessment results obtained a percentage score of 81.66% accepted by students. Based on these results, it can be concluded that Android-based interactive learning media on basic Python programming material is suitable for use as a learning medium for informatics subjects and can be an alternative solution to address student learning problems.
[Retracted Article] Mapping Research Trends of TikTok in Education: A Bibliometric Analysis Siti Nurjanah; Shaufi Ramadhani; Zafrullah Zafrullah; D’aquinaldo Stefanus Fani Seran; Rooskartiko Bagas Rahoetomo; Sandry Rory
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.83732

Abstract

NOTICE OF ARTICLE RETRACTION Dear Readers and Stakeholders,We hereby announce that the article titled "Mapping Research Trends of TikTok in Education: A Bibliometric Analysis", published in IJIE (Indonesian Journal of Informatics Education), Volume 8, Issue 2 (December 2024), has been officially retracted from publication.Reason for Retraction:Following a thorough internal investigation, it was discovered that a violation of publication ethics was committed by the corresponding author. Specifically, the violation involved the addition of author names by editing the article metadata after the article had been accepted for publication. This act is deemed an exploitation of the publishing system by including authors whose contributions could not be clearly verified in the preparation of the article.This behaviour violates the principles of transparency, academic integrity, and the ethical publishing guidelines established by IJIE (Indonesian Journal of Informatics Education), as well as the standards set forth by the Committee on Publication Ethics (COPE).Further Actions:The article has been officially retracted and will be clearly marked as such on our publication platform.Information regarding this retraction will remain accessible to ensure transparency and accountability within the academic community.Further steps will be taken in accordance with our publication ethics policies.We reaffirm our commitment to upholding the highest standards of academic integrity and quality in scientific publishing. We sincerely apologise to our readers, contributing authors, and the wider scholarly community for any inconvenience caused by this matter.Thank you for your understanding and continued support. Yours sincerely,Editor-in-ChiefAbstract:This study aims to identify research trends related to the use of TikTok in the field of education using bibliometric analysis. Data was obtained from 46 publications obtained from the Scopus database in 2020–2023, which were filtered based on TikTok keywords in the context of education. Data analysis was carried out with the biblioshiny package of the RStudio application. The results showed that publications increased sharply in 2022. Geographically, China and the United States contributed the most. The main keywords included "social networking", "TikTok", and "students" representing the research trends on utilising TikTok for learning. The most cited articles indicate TikTok's potential as an innovative pedagogical tool to increase learners’ engagement and motivation and expand public access to education and health information. Further research was recommended to enrich multidisciplinary perspectives and maximise the benefits of TikTok for learning.
Access to, Use, and Effect of Open Educational Resources: The Perspectives of LIS Academics in Selected Nigerian Universities Adeyinka TELLA; Olufemi Peter Owoeye; Aderinola Ololade Dunmade
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.85288

Abstract

This study investigated access to, use of, and the effect of Open Educational Resources (OER) on LIS academics in Nigeria. The study adopted a purely quantitative method, using a survey as the research design. The population of the study comprised LIS academic staff in Nigerian universities. Through a total enumeration method, a sample of 140 LIS academics from 15 universities in Nigeria was selected. A questionnaire developed for data collection was administered to the 140 respondents, of which 133 copies were returned. Seven objectives were developed to guide the study. The results demonstrated that office documents such as Word and PowerPoint, open textbooks, lecture notes, quizzes and tutorials, MOOCs, learning modules, and open courseware are the OER resources most frequently accessed by LIS academics. Mobile phones and laptop computers are the primary devices used by LIS academics for accessing OER. OER are used by LIS academics for teaching and learning, research, preparation for workshops, seminars, conference presentations, and class notes. The effects of OER on LIS academics include the ability to use materials created by other colleagues and customise course materials to create an ideal course packet or textbook. Policies guiding the use of OER include equal access, protection of intellectual property rights, and open licences such as Creative Commons. The challenges LIS academics encounter when using OER include frequent power outages, untimely updates of OER repositories, and prolonged periods spent searching for resources in institutional repositories.
Navigating the Grey Area: Students' Ethical Dilemmas in Using AI Tools for Coding Assignments Bethel Murimo Mutanga; Matthews Lecheko; Zvinodaishe Revesai
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 1 (2024): IJIE (Indonesian Journal of Informatics Education) - July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i1.90385

Abstract

Integrating artificial intelligence (AI) in higher education, particularly in coding assignments for Information Technology (IT) students, represents a rapidly evolving research area with significant implications for academic practices and integrity. This study focuses on the ethical challenges faced by IT students when using AI tools like ChatGPT for coding assignments. Despite the growing use of AI in education, there is a notable gap in understanding how students perceive and navigate the ethical dilemmas associated with these technologies. To address this gap, this study employed a thematic analysis of qualitative data collected from interviews with IT students. The results reveal a complex landscape of ethical considerations, including issues of originality, academic integrity, and the potential for misuse of AI tools. Students reported challenges in balancing the benefits of AI assistance with the need to maintain independent learning and adhere to ethical standards. The implications of this research are significant for educators, institutions, and policymakers. Understanding the ethical challenges students face can inform the development of more effective teaching strategies, assessment methods, and institutional policies. This study contributes to the ongoing dialogue about AI ethics in academia, providing valuable insights for creating an educational environment that leverages the power of AI while upholding the principles of academic integrity and meaningful learning.
GenAI and effective reading among university students: Prospects, challenges, and future directions George Matto; Jaffar Msafiri Ponera; Valeria Kyumana
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.97595

Abstract

Continuous advancements in the fields of science and technology have led to the emergence of innovative technologies such as Generative Artificial Intelligence (GenAI). While there have been increased use of GenAI among university students, some scholars relate its use with negative impacts regarding students reading habits while others relate it with positive. It is against this backdrop that the present study was carried out to explore prospects, challenges and future directions of GenAI in the developing effective reading amongst university students. The study employed systematic review of literature. Findings revealed that GenAI presents both prospects and limitations for students’ effective reading. improved accessibility, convenience of reading, personalized reading resources and interactive reading were found to be the potential prospects. Regarding limitations, the study found that GenAI can potentially create students’ overdependency on it. In addition, there are potential biasness and inaccuracies of AI algorithms that can lead to a generation of biased reading contents. The system can also lead to breach of data privacy and it is resources intensive.  Most of the limitations are, however, manageable. Thus, it was reasonably concluded that the prospects outweigh the limitations. It was, further, found that future directions of AI in developing reading environments involve integration of AI with virtual reality, diminished human-human interaction, human-AI integration, and lifelong learning. The study calls for universities to institute and operationalize students’ data governance and protection policies, among other recommendations.
Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations Zvinodashe Revesai; Benjamin Tungwa; Telson Anesu Chisosa; Vanessa Runyararo Meki
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.92951

Abstract

Social work education in developing countries faces significant challenges, including limited resources, restricted access to current knowledge, and inadequate training opportunities. This study aims to examine the potential of emerging Artificial Intelligence (AI) technologies in empowering social work students by enhancing access to information through machine translation and intelligent search tools, improving resource availability via virtual simulations and adaptive learning platforms, and integrating AI-powered self-help tools into the curriculum. A qualitative research design was employed, utilizing in-depth interviews with 16 educators and 8 field training officers, along with focus group discussions involving 24 social work students across selected institutions in Zimbabwe. All interviews were audio-recorded with participant consent, with translators assisting where necessary for local languages. Additional data were collected from documents, public reports, learning platforms, and policy papers to provide context on AI adoption strategies. Data were analyzed using thematic analysis, examining cases and models where AI has expanded access to scholarly materials through automated translation services, enabled localized resources through virtual training simulations, and facilitated the incorporation of culturally aligned self-help tools such as AI chatbots and wellness applications. The findings show that, with careful implementation and consideration of the context, artificial intelligence can reduce inequalities in education and enhance students' abilities through personalized learning paths, virtual environments for practice, and automated feedback systems. However, this research points out the need for addressing the digital divide and ethical issues associated with artificial intelligence, including problems of privacy and algorithmic bias. The study concludes by making a call for further research into models of safe and equitable AI integration in social work education.
Secure Remote (Home) Electronic Exam Systems: Features, Challenges, and Development of an Offline Model Clement Amone Keyamo; Onashoga Saidat Adebukola; Abimbola Adebisi Baale
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 1 (2024): IJIE (Indonesian Journal of Informatics Education) - July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i1.87162

Abstract

The development of e-assessment systems that can meet acceptable standards in the education industry is a present focus of researchers in the distance learning area. Cheating  and impersonation in online examinations are two common challenges that  have spawned diverse solutions that are usually based on continuous authentication and monitoring principles and technologies. Most of the solutions are focused on centralized e-proctoring schemes that depend massively on state-of the-art internet connectivity. However, many users of these systems, especially in the developing countries, have limited internet services. This is a major barrier to effective remote e-assessment of learners as many of these solutions fail with failing internet services.  To resolve this challenge, this paper describes a Secure Offline  Continuous  Authentication and Monitoring(SOCAM) model for remote e-assessment. 
The Dark Side of Social Media: Analysing Dark Pattern Combinations and Their Impacts Hansika Ukgoda
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.91666

Abstract

In today’s digital era, technology is essential in daily life, transforming interactions and activities. However, the rise of “Dark Patterns - deceptive design practices in websites and apps raises significant ethical concerns. Originally defined by User Experience Designer Harry Bringull, dark patterns manipulate users into actions like involuntary purchases and subscriptions. This study explored dark patterns on social media networking sites (SNSs), focusing on two key questions: Do platforms use specific dark patterns in combination, and how do these combinations impact user interaction and experience?Utilizing cognitive walkthroughs with UI/UX experts, this research examined dark patterns on YouTube, LinkedIn, Telegram, and WhatsApp. Researchers conducted platform-specific evaluations to examine and understand the various combinations of manipulative design elements. The findings revealed prevalent combinations of dark patterns and evaluated their effect, addressing a critical gap concerning social media's ethical implications in the Human-Computer Interaction (HCI) field. The findings contribute to disclosing ethical design practices and promoting a more user-friendly approach to UI design that enhances user well-being and trust in digital environments.

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