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All Journal Scientific Journal of Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika Journal on Education JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) Budimas : Jurnal Pengabdian Masyarakat International Journal of Computer and Information System (IJCIS) Transformasi Academic Journal of Computer Science Research (AJCSR) Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Masyarakat Bangsa Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi
Muhammad Abdul Muin
STMIK Bina Patria
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Optimized K-Means Clustering for Web Server Anomaly Detection Using Elbow Method and Security-Rule Enhancements Trianto, Rahmawan Bagus; Muin, Muhammad Abdul; Vikasari, Cahya
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1391

Abstract

Anomaly detection in web server environments is essential for identifying early indicators of cyberattacks that arise from abnormal request behaviors. Traditional signature-based mechanisms often fail to detect emerging or obfuscated threats, requiring more adaptive analytical approaches. This study proposes an optimized anomaly detection model using K-Means clustering enhanced with engineered security-rule features and the Elbow Method. Two datasets were used: a small dataset of 3,399 log entries from one VPS and a large dataset of 223,554 entries collected from three VPS nodes, all sourced from local production servers of the Department of Computer and Business, Politeknik Negeri Cilacap. The preprocessing pipeline includes timestamp normalization, removal of non-informative static resources, numerical feature scaling, and TF-IDF encoding of URL paths. Domain-driven security features entropy scores, encoded-payload indicators, abnormal status-code ratios, and request-rate deviations were integrated to improve anomaly separability. Experiments across five model configurations show that combining larger datasets with rule-based features significantly enhances clustering performance, achieving a Silhouette Score of 0.9136 and a Davies–Bouldin Index of 0.4712. The results validate the effectiveness of incorporating security-rule engineering with unsupervised learning to support early-warning threat detection in web server environments.
An OWL-Based Ontology Model of Food Production and Distribution in Indonesian Purwanto, Joko; Muin, Muhammad Abdul; Nugroho, Adlan; Muhammad, Kukuh
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15664

Abstract

Food security in Indonesia is influenced by the dynamics of production, distribution, and availability between regions. However, many existing information systems still rely on conventional data structures without semantic integration, which limits interoperability and hinders interregional analysis. To address this gap, this study developed an ontology model based on the Web Ontology Language (OWL) that formally represents the relationships between food production, commodity characteristics, distribution flows, food insecurity conditions, and geographical context. The ontology was built using Protégé through stages of literature review, official data collection from BPS, FAO, and the Ministry of Agriculture, conceptual model design, implementation, and evaluation. Conceptual validation was conducted through Focus Group Discussions (FGD) with food supply chain experts to ensure the suitability of the ontology structure and the actual conditions of the national food system. The technical evaluation involved consistency testing using the Pellet reasoner and Competency Question (CQ) testing through SPARQL queries to assess the ontology's ability to respond to essential information needs. The resulting ontology consists of five core classes (FoodProduction, FoodItem, FoodDistribution, FoodSecurityStatus, and GeographicRegion) which collectively represent the semantic structure of Indonesia's food supply chain. The evaluation results show that the ontology is structurally consistent and capable of producing outputs that are in line with CQ, including the retrieval of production-distribution information and the initial identification of commodity surpluses and deficits based on instance data. These findings indicate that the developed ontology provides a coherent semantic foundation for modeling food systems and has strong potential to support the development of knowledge-based food security management applications.
INOVASI DIGITALISASI UMKM KOPI MELALUI SISTEM E-COMMERCE BERBASIS WEB PADA WARUNG KOPI GARASI NDESO Fatkhurrochman, Fatkhurrochman; Wibowo, Teguh Hadi; Arifah, Fatimah Nur; Yusnanto, Tri; Kapti, Kapti; Muin, Muhammad Abdul
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.457

Abstract

The rapid development of digital technology has significantly impacted various sectors, including micro, small, and medium enterprises (UMKM). One of the most influential technological applications is the e-commerce information system, which facilitates online buying and selling activities without spatial and temporal limitations. This study aims to design and develop a web-based e-commerce system as a digitalization innovation for UMKM coffee businesses at Warung Kopi Garasi Ndeso, with the goal of expanding market reach and improving business management efficiency. The system development process adopts the Waterfall model, consisting of several stages: communication, planning, modeling, construction, and deployment. The system design employs Data Flow Diagrams (DFD) and Entity Relationship Diagrams (ERD), while implementation utilizes the PHP programming language and MySQL as the database management system. System testing was carried out using the Blackbox Testing method to verify functionality, and user evaluation was conducted using the Likert scale involving 18 respondents, including the owner, admin, and customers. The testing results show that all system functions operate properly and meet user requirements. The user evaluation obtained a score of 647 out of 810 or 79.88%, indicating that the developed web-based e-commerce system has a good level of usability. Therefore, the implementation of digital innovation through this e-commerce system effectively supports Warung Kopi Garasi Ndeso in enhancing operational efficiency, expanding market reach, and strengthening the competitiveness of local coffee UMKM in the digital era.
Analisis Performa ModSecurity Core Rule Set Menggunakan GoTestWAF untuk Mengidentifikasi Serangan dan Teknik Bypass pada Aplikasi Web Desmana, Satriawan; Qodri, Krisna Nuresa; Ratih, Ratih; Putri, Bella Adinda; Muin, Muhammad Abdul
Academic Journal of Computer Science Research Vol 8, No 1 (2026): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v8i1.16107

Abstract

Keamanan aplikasi web menghadapi tantangan yang semakin kompleks dengan meningkatnya serangan siber seperti SQL Injection, Cross-Site Scripting (XSS), Command Injection, serta berbagai teknik evasion yang dirancang khusus untuk menghindari mekanisme deteksi konvensional. ModSecurity sebagai Web Application Firewall (WAF) open-source telah banyak digunakan karena fleksibilitas dan integrasinya dengan OWASP Core Rule Set (CRS). Namun demikian, efektivitas ModSecurity sangat bergantung pada kualitas dan pembaruan rule set yang diimplementasikan. Penelitian ini bertujuan mengevaluasi performa ModSecurity versi 3 dengan CRS 4.19.0 dalam mendeteksi serangan modern menggunakan framework pengujian otomatis GoTestWAF. Pengujian dilaksanakan pada lingkungan terkontrol melalui analisis true-positive, true-negative, dan false-negative terhadap 816 payload berbahaya maupun legitimate. Hasil penelitian menunjukkan ModSecurity hanya mampu memblokir 45,44% dari total payload berbahaya, sementara 54,56% berhasil melewati perlindungan. Selain itu, 17,73% traffic aman salah diblokir (false positive), yang berpotensi mengganggu operasional aplikasi. Kelemahan terutama ditemukan pada payload berukuran besar, teknik obfuscation, encoding kompleks, dan struktur request non-standar. Secara keseluruhan, konfigurasi default CRS 4.19.0 pada paranoia level 1 belum memadai menghadapi serangan kontemporer. Optimalisasi diperlukan melalui peningkatan paranoia level, aktivasi optional rules, tuning aturan, dan penambahan custom rules. Penelitian ini memberikan kontribusi empiris bagi peningkatan implementasi WAF open-source pada aplikasi web masa kini.
Co-Authors Cahya Vikasari, Cahya Desmana, Satriawan Dwi Astuti Fatimah Nur Arifah Fatkhurrochman, Fatkhurrochman handayani, riska dwi Joko Purwanto Joko Purwanto Kanafi Kanafi Kapti . Kapti Kapti, Kapti Kartika Imam Santoso Krisna Nuresa Qodri Muhammad, Kukuh Muqorobin, Muqorobin Mustofa, Khaoirul Nahdliy, Faiz Jabar Nugroho, Adlan Rahmawan Bagus Trianto ratih ratih Sri Waluyo Sugeng Wahyudiono Sugeng Wahyudiono, Sugeng Sukris Sutiyatno Teguh Hadi Wibowo Tri Yusnanto Wahyu Priyoatmoko Yeza Febriani Yusuf Wahyu Setiya Putra