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All Journal Manajerial Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Jurnal Minfo Polgan (JMP) JYRS: Journal of Youth Research and Studies Journal of Local Therapy Jurnal Ilmiah Sistem Informasi IEB: Journal of Islamic Economics and Business Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications
Dewi, Ratna Kusuma
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences

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Journal : Digitus : Journal of Computer Science Applications

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Sentiment as Signal: Detecting Political Misinformation in Indonesia’s 2024 Election via Lexicon Based NLP Dewi, Ratna Kusuma; Nugroho, Aryo
Digitus : Journal of Computer Science Applications Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i3.951

Abstract

The 2024 Indonesian presidential election witnessed heightened political discourse on social media, accompanied by an alarming rise in misinformation. This study explores the use of lexicon augmented sentiment analysis as a method to detect hoax content in electoral conversations across Twitter, TikTok, and Meta platforms. By combining sentiment polarity analysis with weak supervision and partial manual validation, we developed a hybrid model tailored to Bahasa Indonesia. Using around 50,000 social media posts combined with a verified hoax index from MAFINDO, we examined how sentiment changed over time within political hashtags. We found that sentiment sharply declined after major events like debates and result announcements. Importantly, posts with very negative tone were 3–9 times more likely to contain misinformation, with 18% directly matching confirmed hoaxes. The hybrid model improved classification accuracy from 64% to 78%, showing its practical potential. The results confirm that sentiment polarity particularly extreme negativity can serve as a leading indicator for misinformation outbreaks. By aligning lexicon based sentiment scores with external verification sources, this framework enables scalable and semi automated detection of political hoaxes in low resource language settings. Ethical considerations in data handling, platform compliance, and demographic inclusivity are emphasized throughout the methodology. This research contributes to computational political analysis by validating a practical, replicable model for electoral misinformation detection. Future work should extend toward multimodal detection, real time dashboards, and participatory collaborations with fact checkers and regulatory bodies.
Policy in Practice: A Systematic Review of WCAG 2.2 and ADA 2024 Effects on Web and Mobile Accessibility Purwandari, Nuraini; Dewi, Ratna Kusuma; Rinaldo; Sucipto, Purwo Agus
Digitus : Journal of Computer Science Applications Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i2.957

Abstract

Digital accessibility remains a global concern, affecting 1.3 billion people with disabilities. This study evaluates the impact of two policy changes WCAG 2.2 and the 2024 ADA Final Rule on digital interface compliance. A systematic review was conducted using PRISMA 2020 guidelines. Data were sourced from academic databases and regulatory documents spanning 2015–2024. Studies were selected based on their relevance to WCAG/ADA compliance. Quality appraisal was carried out using the Mixed Methods Appraisal Tool (MMAT), and findings were synthesized narratively across web and mobile contexts. WCAG 2.2 added success criteria to improve usability for users with cognitive, motor, and visual impairments. ADA 2024 requires U.S. public sector platforms to meet WCAG 2.1 AA, while the European Accessibility Act shows uneven implementation among member states. WebAIM’s 2024 audit revealed that 95.9% of websites still fail basic accessibility checks, and mobile platforms show even lower compliance. Common issues include poor contrast, missing alt text, and inadequate touch targets. Automated tools alone are insufficient without assistive technology validation. Over reliance on ARIA, limited developer training, and inconsistent policy enforcement persist as barriers to effective implementation. Regulatory updates represent progress but must be supplemented by education, standardized testing protocols, and user involved design practices. Sustainable accessibility requires a shift from reactive compliance to proactive inclusivity, supported by policy, pedagogy, and participatory design.
Enabling Sustainability Through the Internet of Things: A Narrative Review of Global Applications and Challenges Sucipto, Purwo Agus; Dewi, Ratna Kusuma
Digitus : Journal of Computer Science Applications Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i4.1077

Abstract

The Internet of Things (IoT) has emerged as a transformative framework with broad applications in healthcare, agriculture, energy, and urban systems. This review aims to synthesize current evidence on IoT adoption, assessing both its benefits and the challenges hindering large-scale implementation. Literature was systematically retrieved from major databases, including Scopus, Web of Science, PubMed, and Google Scholar, using targeted keywords and strict inclusion and exclusion criteria. Findings reveal consistent evidence of IoT’s contribution to efficiency and sustainability: precision agriculture improves yields and resource use, while smart energy systems reduce consumption in urban infrastructures. Comparative results demonstrate disparities between developed and developing countries, with advanced economies emphasizing integrated high-tech solutions and resource-limited settings prioritizing affordable, accessible innovations. The discussion highlights the critical role of systemic and policy factors, including regulatory support, infrastructural investment, and societal trust, in shaping adoption outcomes. Emerging technologies such as blockchain and machine learning show promise for addressing challenges of security and energy efficiency but require further empirical validation in real-world contexts. While current research supports IoT’s role in advancing sustainable development, significant gaps remain in understanding its long-term socio-economic impacts and scalability. The findings emphasize the urgency of policy interventions, inclusive strategies, and interdisciplinary research to fully realize IoT’s potential as a driver of sustainable and equitable global transformation.
Co-Designing Inclusive Interfaces: Participatory Approaches to Accessible E-Learning for Learners with Disabilities Dewi, Ratna Kusuma; Sitorus, Anwar T
Digitus : Journal of Computer Science Applications Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i1.1117

Abstract

Inclusive e-learning environments are essential for equitable access to education, especially for the over one billion people worldwide living with disabilities. However, many e-learning platforms fail to meet accessibility standards due to top-down, non-participatory design approaches. This study aims to evaluate how iterative participatory design methods, including low- and high-fidelity prototyping, impact the accessibility and usability of specific UI elements such as navigation, readability, and input modalities for learners with visual, motor, and cognitive disabilities. The research utilized an iterative participatory design framework involving 15 participants with diverse disabilities (visual, motor, cognitive). Through three stages—needs identification, low-fidelity prototyping, and high-fidelity UI development—users co-designed and evaluated inclusive UI features. Usability was measured through System Usability Scale (SUS) scores, task success rates, completion times, and qualitative interviews. Quantitative results showed a 37% increase in task success rate, a 45% reduction in error count, and an increase in SUS score from 61 to 84. Preferred features included keyboard navigation (93%), font size adjustment (87%), and high contrast modes (82%). Qualitative feedback highlighted the importance of layout consistency, minimal visual clutter, and labeled icons. The study found that participatory design yielded more functional and satisfying UIs than conventional methods and aligned well with accessibility standards like WCAG, UDL, and COGA, while also revealing their practical limitations. Participatory UI design significantly enhances the accessibility and usability of e-learning platforms. Involving users with disabilities as co-creators ensures better alignment with real needs and reinforces the ethical imperative of inclusive education. The findings support institutional adoption of participatory methods to create more equitable digital learning environments
Co-Authors Aisyah, Ica Nur Alfid Tri Afandi Ari Puspita Aryo Nugroho Enggal Hadi Kurniyawan Marthalia, Lia Mayasari, Yunita Muhammad Nur, Kholid Rosyidi Nabela, Mareta Nashrullah, Zulkornain Nuraini Purwandari Rais, Harisna Rani Irma Handayani, Rani Irma Rinaldo Rizki Rizki Sitorus, Anwar T Soedjono Sucipto, Purwo Agus Yuni T, Veronika