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Implementation of IndoBERT for Sustainability Impact Assessment in University Collaboration Information Systems Ryan Hamonangan; Raditya Danar Dana; Yudhistira Arie Wijaya; Odi Nurdiawan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5330

Abstract

University collaboration plays a critical role in enhancing institutional quality and supporting global sustainability agendas. However, many higher education institutions face challenges in managing Memorandum of Understanding (MoU), Memorandum of Agreement (MoA), and Implementation Agreement (IA) documents, particularly in monitoring implementation and assessing their alignment with sustainability goals. This study introduces a University Collaboration Information System enhanced with IndoBERT-based Natural Language Processing (NLP) to automate sustainability impact assessment. A synthetic corpus of 30 annotated collaboration documents was developed, covering multi-label Sustainable Development Goals (SDG) classification and span-level Named Entity Recognition (NER). Two approaches were evaluated: (1) baseline TF-IDF + Support Vector Machine (SVM) for SDG classification and rule-based NER, and (2) fine-tuned IndoBERT for both tasks. Experimental results show that IndoBERT significantly outperforms the baselines, achieving an average F1-score of 0.93 for SDG classification (+16.3%) and 0.96 for NER (+18.5%). The system integrates these models to generate automated entity extraction, sustainability dashboards, and document monitoring features. This work contributes to the advancement of informatics by demonstrating the effectiveness of Transformer-based NLP in processing institutional documents and by providing an integrated information-system framework that strengthens the role of NLP within the field of computer science.
Information Gain-Based Feature Selection and Machine Learning Classification for DDoS Attack Variant Detection in Cloud Computing Environment Eko Arip Winanto; Kurniabudi Kurniabudi; Sharipuddin Sharipuddin; Denia Igesti Nur Mellyati
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5752

Abstract

Cloud computing environments face significant security vulnerabilities from Distributed Denial of Service (DDoS) attacks, which can cause system failures and service disruptions. Despite various existing detection methods, challenges remain regarding high computational overhead and suboptimal accuracy due to redundant features in complex datasets. This study aims to identify the optimal feature subset and evaluate its impact on detection performance across multiple machine learning algorithms for multi-class DDoS variants. The research methodology employs a two-stage approach: feature selection using Information Gain (IG) to reduce 47 original features into subsets of 8, 10, 15, and 20, followed by classification using Decision Tree (DT), Random Forest (RF), and Naïve Bayes (NB) on the CICIoT2023 dataset. Experimental results demonstrate that the Decision Tree model with an optimized subset of only 8 features, primarily Inter-Arrival Time (IAT), Header_Length, and Tot_size, achieves a superior accuracy of 99.97%. While Naïve Bayes performs well in binary classification, its accuracy drops significantly to approximately 30% in multiclass settings. This study concludes that IG-based feature selection reduces computational complexity by 30-40% while maintaining high performance across 12 DDoS variants. These findings provide a practical framework for scalable and efficient intrusion detection systems suitable for real-time deployment in resource-constrained IoT-cloud environments.
THE EFFECT OF INFORMATION TRANSPARENCY AND DIGITAL ACCOUNTABILITY ON PUBLIC SERVICE SATISFACTION IN RANCAMANYAR VILLAGE Afina Azzahra Almusthofa; Raden Imam Al Hafis
Indonesian Journal of Social Sciences, Policy and Politics Vol. 4 No. 3 (2026): October 2026, Indonesian Journal of Social Sciences, Policy and Politics (IJSSP
Publisher : Yayasan Wayan Marwan Pulungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69745/ijsspp.v4i3.200

Abstract

The acceleration of the Electronic-Based Government System (EBGS) demands a transformation toward transparent and accountable village governance. This study aims to analyze the influence of information transparency and digital accountability on public service satisfaction in Rancamanyar Village, Bandung Regency. Using a quantitative approach, this study relies on service users as the primary data source, collected through questionnaire distribution, and supported by secondary data in the form of a documentary study of the village’s official digital platform. Data analysis was conducted using descriptive and inferential statistics to test the significance of relationships between variables. The results indicate that information transparency and digital accountability simultaneously have a positive and significant effect on public service satisfaction in Rancamanyar Village. However, when examined separately, the documentary analysis and community perceptions reveal technical barriers, such as the lack of synchronization in data updates and the slow system response to resident complaints. These findings imply that the provision of digital infrastructure has not yet been fully matched by optimal bureaucratic responsiveness. This study recommends the need to strengthen standard operating procedures for periodic data updates and to improve the reliability of digital interaction channels in order to realize inclusive, user-centric public services
Digital Transformation in Education: The Role of Information Management in Enhancing Data-Driven Learning Quality Dedy Sofian MZ; Sunardi Sunardi; Ahmad Fauzan
MANDALA WIDYA: Jurnal Ilmu Pendidikan Vol. 2 No. 02 (2026): MANDALA WIDYA: Jurnal Ilmu Pendidikan, May 2016
Publisher : CV. Global Cendekia Inti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/mandalawidya.v2i02.201

Abstract

Digital transformation in education has accelerated a paradigm shift from conventional instructional practices toward data- and technology-driven systems. This article examines the role of information management in improving learning quality through the strategic use of data for decision-making. A systematic literature review was employed, focusing on studies related to digital transformation, learning analytics, and data-driven decision-making in education. The findings indicate that the integration of information systems with analytical technologies enables a more comprehensive understanding of learners’ behavioral patterns. Systematic data utilization contributes to improved instructional effectiveness, learning personalization, and student engagement. However, implementation remains constrained by limited data literacy among educators, inadequate technological infrastructure, and ethical concerns in data governance. Within this context, information management functions as a strategic framework that integrates data collection, processing, and utilization to support evidence-based decision-making. Consequently, digital transformation should not be viewed merely as a technological shift, but also as a structural and cultural transformation within educational organizations. Optimizing information management is therefore essential to fostering adaptive and sustainable learning environments.
The Role of Social Media and Information Technology in Emergency Mitigation to Increase the Knowledge of Coastal Communities Sonata Togatorop; Tinawati Nainggolan; Septi Septi; Pretty Pretty
Journal of Midwifery and Nursing Vol. 7 No. 2 (2025): May: Health Science
Publisher : Institute Of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jmn.v7i2.6246

Abstract

This study aims to analyze the role of social media and information technology in increasing public knowledge about emergency mitigation in the coastal area of ??Pasir Lapangan Village in 2025. The study used a quantitative method with a one-group pretest-posttest design. A sample of 200 respondents was selected using a cluster sampling technique. Data were collected through questionnaires before and after an educational intervention through social media. The results showed that before the intervention, most respondents had a low level of knowledge (44%), while after the intervention it increased to a good category (59%). The results of the statistical test showed a p-value = 0.001 (<0.05), which means there is a significant effect of social media use on increasing public knowledge. The conclusion of this study is that social media is effective as a means of emergency mitigation education and can increase coastal community preparedness for disasters
The Role of Communication Through Leaflets in Emergency Management and Information Dissemination When a Disaster Occurs in Pasir Lapangan Village Riko Hengki Nababan; Herlina Tarigan; Tita Aurellia
Journal of Midwifery and Nursing Vol. 7 No. 2 (2025): May: Health Science
Publisher : Institute Of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jmn.v7i2.6435

Abstract

Indonesia is highly vulnerable to disasters, including the coastal areas of Pasir Lapangan Village, Sibolga City, which are prone to tidal flooding and tsunamis. This study aims to determine the role of communication through leaflets in emergency management and the dissemination of disaster information to the public. The research method used was descriptive quantitative with a sample of 90 respondents (10% of the population of 845 families). The results showed that the use of leaflets has a significant role in three phases of disaster management: mitigation (visual education), preparedness (emergency numbers), and response (quick guides). The use of pictograms proved more effective and easier to understand than long text. The study concluded that optimizing leaflets is crucial in reducing response time and increasing the resilience of coastal communities
Web-Based Software Development as Information Media and Digital Bulletin to Improve the Quality of Educational Services Widya Febrianti; Ririn; Fany Ayu Hasanah; Adriel Malvin; Berliana Denita; Widiatry
International Journal of Technology and Education Research Vol. 4 No. 02 (2026): International Journal of Technology and Education Research (IJETER)
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i02.3529

Abstract

e rapid and transparent delivery of information is a key pillar in improving the quality of education in schools. However, there are currently significant limitations in the process of distributing information from schools to parents or guardians. Furthermore, the lack of an official forum for collecting suggestions and criticism from parents/guardians hinders schools in continuously evaluating and improving educational services. This research aims to develop a digital platform that integrates a school information center with a digital bulletin feature as a forum for aspirations. This software development was carried out usingThe prototype method encompasses the stages of requirements analysis, system modeling, system design, and functionality testing. This method allows for ongoing interaction between developers and stakeholders to ensure the digital bulletin features meet field needs. This research is expected to improve the quality of school information distribution and strengthen synergy between the institution and parents
Differences of physical literacy perception of kindergarten teachers: Seen from demographic information Friskawati, Gita Febria; Dwijantie, Jeane Siti
Journal Sport Area Vol 7 No 3 (2022): December
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/sportarea.2022.vol7(3).10019

Abstract

Physical literacy must be instilled in early childhood education, and teachers have a crucial role in this. The aim of this study is to reveal early childhood education teachers' physical literacy perceptions in terms of demographic information. The survey research was conducted with a population of 74 teachers in West Java with convenience sampling. The Perceived Physical literacy Instrument (PPLI) was used as an instrument to measure it. This instrument was distributed through a Google form and filled out voluntarily by the participants. The analysis of the data used is descriptive analysis. The results of this study reveal that teachers with a younger age, teaching experience of 11–20 years, coming from bachelor's degree graduates, and teaching in urban areas have a high perception of physical literacy compared to the demographic status of other teachers. There is a need for special education and training programs for early childhood education teachers in designing learning scenes that are adapted to the concept of physical literacy and are able to harmonize it according to the level of growth and development of children, so that teachers can be formed from an early age. The unrepresentative sample in this study is a limitation that can be used as a recommendation for further research to reveal the perceptions of early childhood education teachers on physical literacy in Indonesia.
AI-Generated Content and the Crisis of Information Authenticity: A Modern Communication Science Perspective Nurul Fadhilah
Journal of Dialogos Vol. 3 No. 1 (2026): Journal of Dialogos - February
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/g054ex34

Abstract

The proliferation of AI-generated content (AIGC) has introduced a profound crisis of information authenticity across modern communication ecosystems. As large language models, generative image systems, and automated content pipelines become ubiquitous, the capacity of both individuals and institutions to distinguish authentic human-produced information from algorithmically synthesized content has been severely compromised. This systematic literature review examines the nature, scope, and communication science implications of the AIGC-driven authenticity crisis, drawing on 20 peer-reviewed studies published between 2021 and 2025. The review synthesizes evidence on how AIGC challenges fundamental epistemological assumptions embedded in communication theory, including source credibility, message authenticity, media trust, and information verification. Key findings reveal that human cognitive heuristics for detecting AI-generated language are systematically unreliable; that AIGC-enabled disinformation, deepfakes, and academic fabrication pose escalating societal risks; and that current detection and regulatory frameworks remain inadequate to the scale and velocity of AIGC proliferation. Drawing on communication science theory, this review proposes an Authentic Information Communication Framework (AICF) comprising four strategic dimensions: technological detection infrastructure, communicator transparency norms, audience critical digital literacy, and regulatory-ethical governance. Implications for communication scholars, media practitioners, policymakers, and educational institutions are discussed.
Analisis Pengaruh Digital Finance terhadap Environmental, Social, dan Governance (ESG) dengan Green Innovation dan Environmental Information Disclosure sebagai Variabel Intervening: Studi pada Perusahaan Perbankan yang Terdaftar di BEI Periode 2020-2024 Nabila Khairunisa; Wisnu Mawardi
Diponegoro Journal of Management Volume 15, Nomor 3, Tahun 2026
Publisher : Faculty of Economics and Business Diponegoro University

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

Abstract

This study aims to analyse the effect of Digital Finance Innovation (DFI) on Environmental, Social, and Governance (ESG) performance, with Green Innovation (GI) and Environmental Information Disclosure (EID) as mediating variables, among banking companies listed on the Indonesia Stock Exchange during 2020–2024. The research used a quantitative approach with panel data regression analysis. The sample consisted of 21 banking companies selected through purposive sampling, yielding 105 observations. Data analysis was conducted using Stata 17 with a fixed-effects model (FEM), a Random-Effects Model (REM), and the Sobel Test. The results indicate that DFI has no significant effect on ESG, GI, or EID. Meanwhile, GI and EID have a positive and significant effect on ESG performance. The mediation test shows that GI does not mediate the relationship between DFI and ESG, whereas EID significantly mediates this relationship. These findings indicate that the implementation of digital finance in the Indonesian banking sector remains more oriented toward operational efficiency and administrative transparency than toward substantive sustainability transformation. This study contributes to the development of stakeholder legitimacy and digital transformation theories in explaining ESG practices within the banking industry.

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