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INDONESIA
International Journal of Research and Applied Technology (INJURATECH)
Published by Universitas Komputer Indonesia
ISSN : 28100662     EISSN : 28077229     DOI : https://doi.org/10.34010/injuratech.v1i2.5902
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
INJURATECH cover all topics under the fields of Computer Science, Information system, and Applied Technology. Scope: Computer Based Education Information System Database Systems E-commerce and E-governance Data mining Decision Support System Management Information System Social Media Analytic Data visualization Cloud computing platforms Distributed file systems and databases Big data technologies Data capture and storage Computer Architecture and Embedded Systems Geographic information system (GIS) Remote Sensing Software Engineering Internet and Web Applications Mobile Computing Hardware and physical security Mobile Computing Security management and policies Block chain Technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 251 Documents
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Indonesia Cybersecurity Policy Toward Data and Privacy Protection, Literature Review Study Meliala, Brandon Nathanael
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

This study reviews the development of Indonesia cybersecurity policy in relation to data and privacy protection through a structured literature review of academic articles, government regulations, and policy reports. The analysis focuses on regulatory evolution, institutional roles, and implementation challenges following the enactment of the Personal Data Protection Law and the strengthening of national cyber agencies. Findings indicate that Indonesia has shifted from fragmented rules toward a more unified governance framework emphasizing management, critical infrastructure protection, and individual data rights. However, persistent gaps remain in enforcement capacity, inter-agency coordination, and public awareness, which limit policy effectiveness. The literature also highlights tensions between digital economic growth and liberties, particularly in data flows and surveillance practices. This review contributes by synthesizing evidence on how cybersecurity policy supports privacy objectives in Indonesia and by identifying future research directions on compliance mechanisms and the balance between security and personal data protection in digital ecosystem
Cloud-Based Big Data Analytics for Academic Decision Support Systems: A Case Study of University Learning Management Systems Rafdhi, Agis Abhi
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

This study aims to address the computational limitations of traditional on-premise servers in higher education by proposing an integrated cloud-based big data analytics framework tailored for Learning Management Systems (LMS). Through a literature-based case study methodology, recent peer-reviewed studies from major academic databases were systematically extracted, compared, and synthesized to identify infrastructural gaps and design a novel conceptual model. The results indicate that while existing analytical models achieve high predictive accuracy, they frequently fail at the institutional scale due to latency bottlenecks and limited pedagogical usability. To resolve these issues, this study formulates a three-layered architecture comprising a Data Ingestion Layer, a Cloud Analytics Engine Layer, and a Decision Support System (DSS) Presentation Layer. This framework efficiently offloads heavy computational workloads to scalable cloud environments and translates complex algorithmic outputs into actionable insights via an intuitive academic dashboard. Implementation scenarios, such as student early warning systems and curriculum difficulty evaluations, demonstrate the framework's practical utility over traditional approaches. In conclusion, the proposed architecture effectively transforms static LMS platforms into proactive DSS. Future research should prioritize empirical prototyping with real-time institutional data and the integration of advanced security encryption protocols to ensure compliance with educational data privacy regulations.
Optimizing Digital Content Strategy Based on User Interaction Patterns Using Machine Learning Algorithms Septiani, Riska Endah
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

In the attention economy era, generic digital content strategies are no longer effective in increasing user engagement. This study aims to optimize content strategies by analyzing user interaction patterns through a machine learning approach. Interaction data including engagement metrics, access time, and topic preferences are processed using the K-Means Clustering algorithm for audience segmentation and Random Forest to predict future content performance. The results show that automatically identifying user behavior patterns can increase the accuracy of content type recommendations by up to [X]% and upload time efficiency by [X]%. These findings prove that integrating intelligent algorithms in creative decision-making can minimize speculation in content production. This study provides practical contributions for digital marketers in designing more personalized, relevant, and data-driven strategies to achieve sustainable organic growth on digital platforms.
Cross-Language Sentiment Analysis in Multilingual Social Media Discourse Rahma, Gengria Dwifani
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

The proliferation of social media has established a global discursive space where opinions are expressed simultaneously across diverse languages. However, the scarcity of linguistic resources for Low-Resource Languages (LRL) remains a primary obstacle to accurate sentiment analysis. This paper explores the challenges and strategies of Cross-Language Sentiment Analysis (CLSA) within multilingual social media platforms. Employing a Systematic Literature Review (SLR) methodology, this study analyzes the efficacy of transfer learning techniques and pre-trained language models, specifically mBERT and XLM-RoBERTa. The review results indicate that while multilingual models successfully bridge linguistic gaps, cultural nuances and local slang present significant technical challenges. This research concludes that integrating cultural context into model architectures is essential for enhancing cross-lingual sentiment detection accuracy. These findings offer theoretical contributions to the development of Natural Language Processing (NLP) frameworks that are more inclusive of non-English languages within the digital ecosystem.
Developing a Web-Based Application for Teaching English Literature Through Interactive Reading Rahma, Gengria Dwifani
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

This study aims to develop a web-based application specifically designed for teaching English literature through interactive reading methods. A primary challenge in contemporary literary education is the low level of student engagement with classical texts, which are often perceived as dense and inaccessible. Utilizing a simplified Research and Development (R&D) approach in the form of a systematic literature review, this research explores the integration of digital annotation features, real-time quizzes, and gamification elements. The findings indicate that interactive platforms are capable of bridging linguistic barriers and enhancing the reader's emotional connection to the text. This abstract highlights that the application of web technology does not merely digitize text but transforms the reading experience from passive to active. The implementation of this application is expected to serve as an innovative pedagogical solution within the higher education English literature curriculum, focusing on enhancing critical literacy and fostering deeper, more engaging retention of literary content.
Accuracy Analysis of Automated Grammar Checkers: A Comparative Study between Grammarly and Quillbot in Detecting Syntactic Errors Septiani, Riska Endah
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

The use of Automated Grammar Checkers (AGC) has become standard in global academic writing, but their effectiveness in detecting complex syntactic structures remains questionable. This study aims to conduct a comparative study between Grammarly and Quillbot in detecting syntactic errors in English text. Using descriptive qualitative methods, the study examined ten specific syntactic error categories, including subject-verb agreement, dangling modifiers, and sentence fragments. Data were analyzed based on the accuracy of detection and the accuracy of correction suggestions provided by both platforms. Initial results indicate that Grammarly is better in detecting formal structural errors, while Quillbot focuses more on fluency of lexical variations, sometimes ignoring purely syntactic rules. These findings are expected to provide guidance for students and academics in selecting writing evaluation tools that suit their grammatical needs.
The Role of Cloud Computing in Development of Management Information Systems in The Telecommunication Companies Olleiwi, Abeer Kadum
International Journal of Research and Applied Technology (INJURATECH) Vol. 6 No. 1 (2026): June 2026 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

This study aimed to investigate the contribution of cloud computing, in its four dimensions (Software as a Service, Platform as a Service, Infrastructure as a Service, and Hardware as a Service, HaaS), to the development and growth of Management Information Systems (MIS) within the Iraqi telecommunications sector, specifically in the companies Asiacell and Zain Iraq. To achieve this objective, the study adopted a descriptive-analytical approach, developing a questionnaire as the primary data collection tool. Data was collected from a purposive sample of 87 administrative and technical staff members. The data was processed and hypotheses tested using the Statistical Package for the Social Sciences (SPSS). The field results showed a high level of strategic adoption of cloud computing technologies, with an overall mean score of 3.737. The Software as a Service (SaaS) model emerged as the most widely applied and consistent dimension, with a mean score of 3.837. The study also revealed a strong positive correlation (0.850) between cloud adoption and information systems development. Regression analysis demonstrated that cloud computing explains 72.2% of the variance in the efficiency and effectiveness of management systems. The study concludes that digital transformation towards cloud environments is no longer a secondary option but a necessity to enhance data processing speed and support decision-making. It recommends increased investment in cloud infrastructure, training of personnel on modern technologies, and the establishment of robust cybersecurity frameworks to ensure service sustainability and data privacy protection.
The Impact of Cross-Platform Frameworks on Mobile Web Application Performance: A Systematic Review Karin, Juliana
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

As the demand for mobile applications surges, developers increasingly turn to cross-platform frameworks like React Native, Flutter, and Ionic to bypass the high costs of native development. However, a significant trade-off often exists between development efficiency and runtime performance. This systematic review investigates the impact of these frameworks on mobile web application performance, focusing on execution speed, memory management, and GPU utilization. By analyzing peer-reviewed literature from the last five years, this study identifies critical performance bottlenecks inherent in abstraction layers. The findings reveal that while Flutter nears native performance due to its direct rendering engine, JavaScript-based frameworks often suffer from bridge-related latency. This review provides a comprehensive synthesis of current performance benchmarks, offering developers a decision-making framework for selecting technologies based on computational requirements. Ultimately, the paper highlights the evolving landscape of mobile web apps and the closing gap between hybrid and native ecosystems.
Ethics, Trust, and Adoption: A Literature Review on Student Perceptions of Generative AI in Higher Education Sari, Annisa Wulan
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Komputer Indonesia

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Abstract

The rapid emergence of Generative Artificial Intelligence (GenAI) has sparked a paradigm shift in higher education, placing students at the intersection of technological innovation and ethical ambiguity. This study provides a qualitative systematic review of existing literature to explore the intricate relationship between ethics, trust, and adoption in student perceptions of GenAI. Utilizing a thematic synthesis approach, the research analyzes diverse academic studies to identify recurring patterns in how students navigate these tools. Findings reveal that while GenAI is highly valued for its ability to enhance productivity and personalized learning, adoption is significantly hindered by "ethical anxiety"—concerns regarding academic integrity, data privacy, and the potential loss of critical thinking skills. Trust is identified as a multi-dimensional construct, heavily dependent on institutional transparency and the clarity of AI-usage policies. This review concludes that for GenAI to be successfully integrated, higher education must move beyond functional training toward a framework of ethical literacy. The results offer strategic insights for educators and policymakers to foster a responsible AI-driven academic environment.
Evaluating the Usability and Accessibility of Cloud-Based AI Translation Interfaces: A Systematic Review of Freelancer User Experience (UX) Munawaroh, Silvi
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

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Abstract

This study evaluates the usability and accessibility of cloud-based AI translation interfaces for freelance translators. Using a systematic literature review (SLR) approach, this research synthesizes academic publications and industry reports from the last decade to identify global UX trends in cloud-native CAT tools. Findings reveal that while cloud infrastructure democratizes access to high-level Neural Machine Translation (NMT), significant barriers remain, including high-latency issues in remote regions, steep learning curves for complex AI dashboards, and economic constraints of subscription models. The analysis suggests that current AI infrastructures often prioritize technical scalability over the ergonomic and cognitive needs of non-technical linguists, exacerbating the digital divide. The study concludes that a "Translator-Centered Design" framework is essential to ensure that AI-driven cloud architectures are inclusive and accessible, recommending that developers optimize low-bandwidth performance to support the global freelance community effectively

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