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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri INTECOMS: Journal of Information Technology and Computer Science The Eastasouth Journal of Information System and Computer Science Journal of Citizenship Journal of Artificial Intelligence and Legal Technology Jurnal Pengabdian IPTEK Jurnal Hukum Siber dan Regulasi Teknologi
Asih, Dybio Dompu Hot
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences Other

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Bacteria Classification using Image Processing and Residual Neural Network (ResNet) Dybio Dompu Hot Asih; Adnan Purwanto; Dwiza Riana; Sri Hadianti
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 1 (2022): Desember 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i1.16788

Abstract

Detection of microorganisms is of particular importance to human health and life, and for the industry in general. For this reason, we want this process to be as fast and precise as possible. We also expect that the automation of this activity (detection of microorganisms) can be widely used in various industries. This article is another attempt to the classification of bacteria  that uses a deep learning approach with Residual Neural Network(ResNet) models. The research was conducted by training the ResNet-18,ResNet-34, ResNet50 and ResNet-101 models. The results show that the ResNet-50 and ResNet-101 are the best learning model. It is better to use ResNet-50 than ResNet-101 because of the faster training time. While the results of the research also show that the architecture with the least number of layers is the fastest learning model.  ResNet-50 has an accuracy rate of 96.1% with a training time of 451 seconds is the best learning model. ResNet-18 has an accuracy rate of 93.6% with a training time of 185 seconds is the fastest learning model.
Analisis Sentimen Ulasan Review Aplikasi MyTelkomsel, IndosatM3 dan MyXl di Google Play Store Menggunakan Metode Bert Asih, Dybio Dompu Hot; Manik, Lindung Parningotan
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.12817

Abstract

Aplikasi seluler dari penyedia layanan telekomunikasi, seperti MyTelkomsel, IndosatM3, dan MyXL, semakin penting dalam kehidupan sehari-hari konsumen. Pengguna sering meninggalkan ulasan dan penilaian di platform seperti Google PlayStore, yang dapat menjadi sumber informasi berharga bagi perusahaan untuk meningkatkan kualitas layanan. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan pengguna aplikasi MyTelkomsel, IndosatM3, dan MyXL di Google PlayStore menggunakan BERT. Penelitian ini dilakukan untuk analisa sentimen terhadap aplikasi MyTelkomsel, IndosatM3 dan MyXl di Google Play Store. Data review komentar diambil dari fitur komentar yang ada di Google Play Store menggunakan teknik scrapping. Data yang digunakan berjumlah 600 records. Hasil dari analisa sentimen dapat dimanfaatkan untuk melihat respon pengguna MyTelkomsel, IndosatM3 dan MyXl lalu pengembang bisa memaksimalkan fitur yang dirasa kurang oleh pengguna. Model dan metode yang digunakan adalah model pre- trained BERT. Dalam penelitian ini, kami mengumpulkan data ulasan dari ketiga aplikasi tersebut dan mengklasifikasikannya ke dalam tiga kategori sentimen utama: positif, negatif, dan netral. Model BERT dilatih untuk mengenali pola dalam ulasan tersebut dan mengklasifikasikan sentimen dengan akurasi yang tinggi. Aplikasi seluler dari penyedia layanan telekomunikasi, seperti MyTelkomsel, IndosatM3, dan MyXL, semakin penting dalam kehidupan sehari-hari konsumen. Pengguna sering meninggalkan ulasan dan penilaian di platform seperti Google PlayStore, yang dapat menjadi sumber informasi berharga bagi perusahaan untuk meningkatkan kualitas layanan. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan pengguna aplikasi MyTelkomsel, IndosatM3, dan MyXL di Google PlayStore menggunakan BERT. Penelitian ini dilakukan untuk analisa sentimen terhadap aplikasi MyTelkomsel, IndosatM3 dan MyXl di Google Play Store. Data review komentar diambil dari fitur komentar yang ada di Google Play Store menggunakan teknik scrapping. Data yang digunakan berjumlah 600 records. Hasil dari analisa sentimen dapat dimanfaatkan untuk melihat respon pengguna MyTelkomsel, IndosatM3 dan MyXl lalu pengembang bisa memaksimalkan fitur yang dirasa kurang oleh pengguna. Model dan metode yang digunakan adalah model pre- trained BERT. Dalam penelitian ini, kami mengumpulkan data ulasan dari ketiga aplikasi tersebut dan mengklasifikasikannya ke dalam tiga kategori sentimen utama: positif, negatif, dan netral. Model BERT dilatih untuk mengenali pola dalam ulasan tersebut dan mengklasifikasikan sentimen dengan akurasi yang tinggi.
Komunikasi Visual dalam Sistem Informasi Lingkungan Digital untuk Meningkatkan Kesadaran Ekologi di Kalangan Masyarakat Medan Sunggal Dybio Asih; Dede Tarigan; Jasael Simanullang
Journal of Citizenship Volume 5 Issue 1, 2026
Publisher : HK Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37950/joc.v5i1.655

Abstract

This study aims to understand how visual communication in digital environmental information systems contributes to the development of ecological awareness among the Medan Sunggal community. This study focuses on the phenomenon of communication of meaning construction through visual elements in digital platforms used to disseminate environmental information. A qualitative research design was used by conducting in-depth interviews with community members and analyzing the visual content of digital environmental information systems, including infographics, symbols, color usage, and visual narratives. Data were analyzed using thematic analysis to identify patterns in user interpretation, understanding, and perceived relevance of visual communication. The results show that visual elements that reflect local context, simplicity, and symbolic clarity play an important role in enhancing message comprehension and fostering ecological awareness. Digital environmental information systems function not only as information providers but also as communicative spaces where visual design mediates public understanding of environmental issues. This study is limited to a specific local environment and does not measure long-term behavioral outcomes, suggesting that future research should examine the impact of behavior or comparative cultural contexts. The originality of this study lies in its focus on local visual communication practices in digital environmental information systems, which offers valuable insights into applied communication strategies that integrate cultural context and visual meaning-making to support environmental awareness initiatives.
An Experimental Evaluation of Machine Learning Models for Judicial Decision Prediction Using Indonesian Court Decisions Dybio Asih
Journal of Artificial Intelligence and Legal Technology Vol. 2 No. 1 (2026): February 2026
Publisher : Sah Publisher

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Abstract

Judicial outcome analysis has attracted growing attention within legal artificial intelligence research; however, empirical studies focusing on Indonesian court decisions remain limited. This study presents an experimental evaluation of traditional machine learning and deep learning models for judicial outcome classification using Indonesian legal texts.The experiments were conducted on a curated dataset of 4,872 court decisions obtained from the official Direktori Putusan Mahkamah Agung Republik Indonesia (2018–2023). To prevent outcome leakage, all explicit ruling sections were removed prior to model training, and only the legal reasoning segments were used as input. Several models, including Logistic Regression, Support Vector Machine, Gradient Boosting, BiLSTM, and IndoBERT, were evaluated under identical experimental settings. The results show that ensemble-based methods, particularly Gradient Boosting, achieve strong and stable performance, while deep learning models demonstrate competitive but not consistently superior results under document length constraints. Error analysis indicates that misclassifications frequently arise from implicit judicial reasoning and outcome ambiguity. This study provides an empirical benchmark for judicial outcome classification in Indonesian courts and highlights methodological limitations related to document length, labeling granularity, and reproducibility in legal NLP research.
Improving Village Administrative Efficiency through the Use of a Correspondence Management Information System: A Case Study of Namorambe Village Dybio Dompu Hot Asih; Alex Karo-Karo
Jurnal Pengabdian IPTEK Vol. 1 No. 1 (2026): February 2026
Publisher : Sah Publisher

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

Abstract

Village administrative services play a crucial role in supporting effective governance and responsive public service delivery. However, many village administrations still manage correspondence manually, resulting in inefficiencies, data duplication, limited document accessibility, and delays in administrative services. This community service activity aims to improve village administrative efficiency through the implementation of a Correspondence Management Information System in Namorambe Village. The activity was conducted using several stages, including problem identification and needs assessment, system design and development, system implementation, and training for village officials. The developed system facilitates the digital management of incoming and outgoing correspondence, document archiving, search functions, and administrative reporting in a centralized database. Training and hands-on assistance were provided to ensure that village officials were able to operate and manage the system independently. The results of the implementation indicate a significant improvement in the efficiency of administrative processes, particularly in reducing the time required to manage and retrieve correspondence documents. In addition, the accuracy and security of administrative data improved due to structured digital storage. Village officials also demonstrated increased digital competence and readiness to adopt information technology in daily administrative tasks. Overall, this community service activity demonstrates that the utilization of a correspondence management information system can effectively support village administrative efficiency and contribute to the digital transformation of village governance. The system has the potential to be sustainably adopted and replicated in other villages with similar administrative challenges.
National Legal Frameworks for the Protection of Critical Digital Infrastructure in the Age of Global Cyber Threats Dybio Asih; Jona Tarigan; Ririn Berutu
Jurnal Hukum Siber dan Regulasi Teknologi Vol. 1 No. 2 (2026): May 2026
Publisher : Sah Publisher

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

Abstract

The rapid escalation of global cyber threats has placed critical digital infrastructure at the center of national security concerns. Critical digital infrastructure - including financial systems, energy networks, telecommunications, healthcare platforms, and government information systems - has become increasingly vulnerable to sophisticated cyber attacks that transcend national borders. This study was undertaken to examine the adequacy of national legal frameworks in protecting critical digital infrastructure in the contemporary cyber threat environment. The research addresses a significant legal problem: the growing gap between the pace of technological advancement and the capacity of existing legal regimes to effectively prevent, mitigate, and respond to large-scale cyber threats. By building upon existing scholarship on cybersecurity law and critical infrastructure protection, this study seeks to provide a systematic legal analysis of national strategies and regulatory approaches in the digital era. This research employs a normative juridical method combined with a doctrinal legal analysis. Primary legal materials include national cybersecurity statutes, regulations on critical infrastructure protection, data protection laws, and relevant international legal instruments. Secondary materials consist of academic literature, policy reports, and comparative legal studies on cybersecurity governance. A comparative approach is used to examine selected national legal frameworks and identify common regulatory patterns, institutional arrangements, and enforcement mechanisms. The study also analyzes policy documents and official guidelines to assess how legal norms are translated into operational cybersecurity strategies. The findings indicate that while many states have adopted legal frameworks recognizing critical digital infrastructure as a strategic national asset, significant inconsistencies remain in regulatory scope, institutional coordination, and enforcement capacity. Most national frameworks emphasize preventive measures, such as risk assessment and incident reporting obligations, but lack comprehensive legal mechanisms for cross-sector coordination and international cooperation. The research confirms that existing laws partially address cybersecurity risks but are often reactive rather than anticipatory, limiting their effectiveness against rapidly evolving global cyber threats. The originality of this study lies in its integrated legal analysis of national cybersecurity frameworks through the lens of critical digital infrastructure protection. By linking legal norms, institutional design, and strategic objectives, the research contributes to a deeper understanding of how law can function as a proactive instrument of cyber resilience. The findings offer practical insights for policymakers and legal scholars and suggest future research directions, including the harmonization of national laws and the development of transnational legal mechanisms for critical infrastructure protection
An Analysis of the Role of Software Engineering in Improving the Quality of Academic Information Systems at Wirahusada University Medan Dybio Dompu Hot Asih; Dede Ardian Tarigan; Jona Efranata Tarigan
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 03 (2026): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i03.888

Abstract

Software engineering plays a crucial role in ensuring the quality of information systems used in higher education institutions. This study aims to analyze the role of software engineering practices in improving the quality of academic information systems at Wirahusada University Medan. The research focuses on how systematic software engineering processes contribute to system reliability, usability, and maintainability. This study employs a descriptive research method with a case study approach. Data were collected through observations, interviews, and questionnaires involving system users and developers. The analysis results indicate that the application of software engineering principles, including requirements analysis, system design, implementation, and testing, has a significant impact on improving system quality. The findings show that structured development processes enhance system performance, reduce errors, and increase user satisfaction. Therefore, the implementation of proper software engineering practices is essential to ensure the quality and sustainability of academic information systems in higher education institutions.
Co-Authors Adnan Purwanto Alex Karo-Karo Dede Ardian Tarigan Dede Tarigan Dwiza Riana Jasael Simanullang Jona Efranata Tarigan Jona Tarigan Lindung Parningotan Manik Ririn Berutu Sri Hadianti