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Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK)
Published by PT. Lentera Ilmu Publisher
ISSN : 30312698     EISSN : 30312698     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) adalah jurnal nasional berbahasa Indonesia yang dikelola oleh Lentera Ilmu Publisher. Jurnal ini memuat hasil penelitian dengan topik-topik penelitian yang berasal dalam cakupan rumpun sistem informasi seperti perancangan sistem informasi, analisis sistem informasi, tata kelola IT, sistem pengambilan keputusan (SPK) dan teknik informatika meliputi rekayasa perangkat lunak, kecerdasan buatan, machine learning serta bidang-bidang lainnya yang terkait ke dalam rumpun ilmu tersebut. Jurnal ini diterbitkan 2 kali dalam 1 tahun yakni pada bulan Februari, dan Agustus dengan periode penerimaan artikel sepanjang tahun. Artikel yang masuk ke jurnal ini akan di-review oleh mitra bestari sebelum diterbitkan. Proses review artikel dilakukan secara double blind review yang mana mitra bestari tidak mengetahui siapa penulis artikel tersebut dan juga sebaliknya penulis tidak mengetahui mitra bestari yang mereview artikel tersebut. Jurnal JAFOTIK merupakan jurnal akses terbuka (open access) sehingga seluruh artikel yang diterbitkan oleh jurnal ini dapat diakses kapan saja dan di mana saja oleh siapa saja tanpa dipungut biaya.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 35 Documents
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A Legal Perspective on the Use of Large Language Models in the Era of Artificial Intelligence Zahra, Y
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.97

Abstract

This study examines the legal implications of Large Language Models (LLMs) within the Indonesian regulatory framework. As AI technologies rapidly evolve, Indonesia relies primarily on general laws on data protection, electronic systems, civil liability, and intellectual property to govern AI deployment. However, these laws were not specifically designed to address the autonomous and generative nature of LLMs. This research employs a normative legal methodology to analyze statutory provisions, identify regulatory gaps, and evaluate constitutional principles relevant to AI governance. The findings reveal fragmentation, ambiguity in training data legality, uncertainty in liability allocation, and limited transparency requirements. The study proposes a risk based and accountability-oriented governance framework that harmonizes existing sectoral regulations while strengthening human rights protection. By developing a coherent regulatory approach, Indonesia can enhance legal certainty, mitigate technological risks, and promote responsible innovation in the era of artificial intelligence.
The Impact of Intelligent Agriculture on Sustainability and Food Security Anwar, Ican
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.98

Abstract

Agricultural systems face increasing challenges related to resource depletion, climate variability, and food insecurity, requiring innovative and sustainable solutions. This study examines the impact of intelligent agriculture on sustainability performance and food security outcomes. A quantitative comparative design was employed, involving several farms categorized into intelligent agriculture adopters and conventional farmers. Data were analyzed using a sliding time-window approach, Structural Equation Modeling (SEM), and predictive machine learning techniques to evaluate direct and mediated effects. The findings reveal that intelligent agriculture significantly improves yield (33% increase), reduces water and fertilizer use (approximately 25%), and decreases production variability by more than 50%. Sustainability performance strongly mediates the relationship between intelligent agriculture and food security, resulting in a 27% improvement in the Food Security Index. These results confirm that intelligent agriculture enhances long-term agricultural resilience and resource efficiency, providing empirical support for policies promoting digital farming technologies to achieve sustainable food systems.
Machine Learning Based Classification of Skin Lesions for Early Melanoma Detection Karimah, Fitrah; Ahmad, Amirah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.99

Abstract

Early detection of melanoma is essential to reduce skin cancer related mortality. This study proposes a machine learning based framework for automatic classification of dermoscopic skin lesion images into melanoma and benign categories. The methodology integrates image preprocessing, deep convolutional feature extraction, and an attention mechanism to enhance clinically relevant patterns such as asymmetry, border irregularity, and color variation. The model was trained and evaluated using a labeled dermoscopy dataset with a structured train validation test split. Experimental results demonstrate strong diagnostic performance, achieving 92.8% accuracy, 94.1% sensitivity, 91.3% specificity, and an AUC of 0.96. The high sensitivity indicates effective identification of malignant cases, which is critical for early intervention. Overall, the proposed framework shows promising potential as a computer aided diagnostic tool to support dermatologists in improving consistency, efficiency, and reliability in melanoma detection.
Assessment of External Alarm System Performance and Quality Using ISO/IEC 25010 Framework Irawan, M Aidil
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.100

Abstract

This study assesses the performance and quality of an external alarm system using the ISO/IEC 25010 framework. The evaluation covers eight quality characteristics: functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. Data were collected through structured questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The measurement model results indicate that all constructs meet the required validity and reliability criteria. Outer loadings range from 0.730 to 0.956, exceeding the recommended threshold of 0.70. The Average Variance Extracted (AVE) values are above 0.50, confirming convergent validity. Furthermore, Cronbach’s Alpha and Composite Reliability values exceed 0.70 for all constructs, demonstrating strong internal consistency. These findings confirm that the external alarm system meets established software quality standards and performs reliably across multiple dimensions. The validated model provides a robust foundation for further structural analysis and quality improvement strategies.
Implementation of a Digital Correspondence Administration System to Improve Service Efficiency in Local Government Offices Kisworo, Catur A
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.101

Abstract

This study aims to implement and evaluate a Digital Correspondence Administration System to improve service efficiency in a local government office. The research adopts a System Development Life Cycle (SDLC) approach combined with a quantitative pre-test and post-test design to measure performance improvements. Key performance indicators include average processing time, document loss rate, service complaints, and user satisfaction. The results show a 61.11% reduction in processing time, a 92.86% decrease in document loss, and a 72.73% reduction in service complaints after system implementation. Additionally, the user satisfaction index reached 84%, indicating high acceptance among administrative staff. These findings demonstrate that workflow automation, digital archiving, and real-time tracking significantly enhance administrative efficiency, transparency, and service quality. The study confirms that digital transformation in correspondence management provides measurable and sustainable improvements in local government performance.

Page 4 of 4 | Total Record : 35

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