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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer International Journal Software Engineering and Computer Science (IJSECS) Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Informatika: Jurnal Pengembangan IT Journal of Artificial Intelligence and Technology Information
Syifaurachman
Universitas Pamulang
Arts Humanities Computer Science & IT Control & Systems Engineering Engineering Languange, Linguistic, Communication & Media Public Health Other

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Sosialisasi Kajian Teknis terhadap Pengembangan Aplikasi LMS Inklusi Digital untuk Pengguna Difabel Syifaurachman Syifaurachman; Muhamad Ihsan Ashari
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 5 No. 3 (2025): Juli : SAFARI :Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v5i3.2707

Abstract

Inclusive digital learning platforms offer a strategic solution to bridge the educational access gap for persons with disabilities in Indonesia. This community service initiative was conducted at the Paradifa Indonesia Foundation, which acts as a facilitator for the use of web-based Learning Management Systems (LMS) designed for users with disabilities. The project aimed to combine user needs analysis with a comprehensive technical review to support the development of an inclusive LMS. The activities involved seminars and technical briefings as part of a structured socialization process. Topics included enterprise architecture, system components, LMS design layers, cloud-based system structures, and technical evaluations. The findings support the recommendation to adopt a microservices-based enterprise architecture hosted in the cloud, addressing key factors such as server performance, data protection, interoperability, and accessibility for disabled users.This program is expected to strengthen both development and facilitation teams in implementing inclusive digital learning solutions. Additionally, it ensures that the system architecture and security mechanisms are reliable and adaptive to user needs. The outcomes may serve as a replicable model for other institutions aiming to develop accessible and efficient LMS platforms for inclusive education in Indonesia.
AUDIT OF TRADING PLATFORM INFORMATION SYSTEM FROM THE PERSPECTIVE OF INFORMATION SECURITY GOVERNANCE IN COMMODITY FUTURES TRADE Syifaurachman; Muhamad Ihsan Ashari; Galuh Oka Safitri
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8724

Abstract

Information system-based trading platforms play an important role in supporting real-time, high-value, and high-risk commodity futures trades. With their complex designs, huge transaction volumes, and reliance on digital technology, information system security is crucial to operational reliability and stakeholder confidence. Weak security measures can result in financial losses, service disruptions, and reputational damage. This study employs an information system audit approach to assess the efficacy of information system security controls on a commodity futures trading platform. A descriptive qualitative approach with a case study at Company X was used. Data were gathered by analyzing security audit reports, internal policies, and operational processes, conducting interviews with system management and supervisory people, and observing platform activities. Data analysis involved comparing real system circumstances to information system audit best practices and digital transaction security standards. The findings indicate that security procedures have been widely implemented but are only partially compliant. Key holes were detected in risk planning that is not frequently updated, insufficient documentation of operational controls, flaws in human resource competency management, and a lack of comprehensive continuous monitoring and improvement processes. These findings emphasize that effective information system security necessitates not just the establishment of controls, but also consistent implementation, thorough documentation, and alignment of technology controls with business operations.
Opportunities and Challenges of Artificial Intelligence in Digital Forensics Syifaurachman Syifaurachman
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4371

Abstract

Digital forensics research remains constrained, while the rapidly evolving digital landscape renders traditional forensic methodologies increasingly inadequate for modern investigative challenges. This work conducts a systematic literature review and bibliometric analysis of computer forensics, specifically targeting digital forensics applications. The study employed a systematic literature evaluation of the Scopus database using "Computer Forensic" as the search term within article titles, abstracts, and keywords. The initial search retrieved 3,222 publications, subsequently refined to 120 academic articles through PRISMA methodology with inclusion criteria encompassing computer science subject areas, final journal articles, English language publications, and open access availability. Three research questions guide this investigation: examining future digital forensic research directions, analyzing current research methodologies, and identifying practical and theoretical implications. Data collection occurred on May 21, 2025, with analysis performed using VOS Viewer bibliometric software. Results reveal that digital forensics research predominantly originates from industrialized nations, particularly the United States and Europe, accounting for 49 of 120 examined articles (40.83%), while Asian and African contributions remain substantially underrepresented. The analysis identified a four-stage digital forensics implementation framework: identification, collection, analysis, and preservation. Furthermore, the investigation examined artificial intelligence applications in digital forensics, particularly NLP-based approaches and machine learning algorithms including CNN models for forensic processes. While AI has revolutionized digital forensics by enhancing accuracy, efficiency, and investigative effectiveness, the analysis reveals persistent challenges including algorithmic bias, data privacy concerns, and decision-making transparency issues. Future research should incorporate additional databases such as Web of Science to enhance data quality and scope. The integration of AI and machine learning models across digital forensics stages promises to deliver more precise and thorough investigative outcomes.
Nextcloud Based Personal Cloud Storage Implementation on Raspberry-Pi 4 for Lightweight Cloud Infrastructure Ahmad Asep Suhendi; Noprianto Noprianto; Ragil Nur Iman; Syifaurachman Syifaurachman
Progresif: Jurnal Ilmiah Komputer Vol 22, No 2 (2026): April
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i2.3602

Abstract

Cloud computing has emerged as a prevalent technique for data storage and management via internet-based platforms, eliminating the need for local storage devices. Nonetheless, public cloud services like Google Drive and Dropbox have issues related to data privacy, security, and user control over the foundational infrastructure. This study advocates for the deployment of a private cloud storage system utilizing Nextcloud on a Raspberry Pi 4 as a streamlined and economical infrastructure option. The Raspberry Pi is chosen for its compact dimensions, little power usage, and cost-effectiveness relative to traditional servers. The system is constructed on Ubuntu Server, utilizing Apache as the web server, MySQL as the database management system, and PHP to facilitate the Nextcloud application. The research process encompasses system requirements analysis, system design, implementation, and thorough testing. The findings indicate that the system effectively delivers critical cloud storage capabilities, encompassing file upload, download, sharing, data synchronization, and user access management. The performance assessment reveals that the system functions stably, responsively, and reliably for small to medium-scale storage requirements, while ensuring a sufficient degree of security.Keywords: Cloud computing; Cloud storage; Raspberry-pi; Nextcloud; Lightweight cloud infrastructure;AbstrakCloud computing menjadi teknologi yang banyak diadopsi untuk penyimpanan dan pengelolaan data melalui internet tanpa bergantung pada perangkat lokal. Namun, layanan cloud publik seperti Google Drive dan Dropbox menimbulkan kekhawatiran terkait privasi, keamanan, serta kendali pengguna terhadap data dan infrastruktur. Penelitian ini mengusulkan implementasi sistem cloud pribadi berbasis Nextcloud pada Raspberry Pi 4 sebagai solusi infrastruktur ringan dan berbiaya rendah. Raspberry Pi dipilih karena ukurannya ringkas, hemat daya, serta ekonomis dibandingkan server konvensional. Sistem dibangun menggunakan Ubuntu Server dengan Apache sebagai web server, MySQL sebagai database, serta PHP untuk mendukung aplikasi. Metodologi penelitian meliputi analisis kebutuhan, perancangan sistem, implementasi, dan pengujian sistem secara menyeluruh dan terstruktur. Hasil menunjukkan sistem mampu menyediakan fitur unggah, unduh, berbagi file, sinkronisasi data, serta manajemen akses pengguna secara efektif dan efisien. Pengujian kinerja menunjukkan sistem berjalan stabil, responsif, dan andal untuk kebutuhan penyimpanan skala kecil hingga menengah secara optimal dan berkelanjutan dengan tingkat keamanan yang memadai.Kata kunci: Komputasi awan; Penyimpanan awan; Raspberry-pi; Nextcloud; Infrastruktur awan ringan  
Anomaly-Based Network Intrusion Detection Using Isolation Forest on the Imbalanced UNSW-NB15 Dataset Syifaurachman Syifaurachman; Samso Supriyatna; Muhamad Ihsan Ashari
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10378

Abstract

 Modern cyber threats require adaptive intrusion detection systems (IDS) capable of identifying complex anomalies within large networks. . Traditional signature-based methods frequently struggle to detect novel zero-day attacks, making unsupervised machine learning, specifically Isolation Forest (IF), a vital research direction. IF detects anomalies by isolating unusual observations through random partitioning mechanisms.. This study evaluates IF for intrusion detection using the highly imbalanced UNSW-NB15 dataset, comprising 2,540,044 records (87% normal traffic, 13% attack traffic). A quantitative approach was applied, evaluating performance across Accuracy, Precision, Recall, F1-score, ROC-AUC, and PR-AUC. Results show an accuracy of 79.3% and a ROC-AUC of 0.6302. However, a low PR-AUC (0.1710) and F1-score (0.18) reveal the model's critical failure in detecting the minority attack class due to severe feature overlap. These findings prove that relying strictly on Accuracy or ROC-AUC is misleading in imbalanced scenarios. Therefore, IF should serve only as a lightweight baseline screening layer; hybrid architectures are necessary to improve detection sensitivity in real-world IDS.
Design and Evaluation of a Web-Based Helpdesk Ticketing System Using Extreme Programming for Improving IT Service Efficiency Stefanus Satryo Wasono; Ananda Syarif Hidayatullah; Rian Mohamad Said; Syifaurachman Syifaurachman
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3624

Abstract

Helpdesk solutions are essential for the proper management of IT service requests within enterprises. Nonetheless, numerous companies continue to depend on manual communication methods, such as telephone and email, resulting in protracted response times, disorganized data, and ineffective service management. This study is to create and assess a web-based helpdesk ticketing system utilizing the Extreme Programming (XP) methodology to enhance IT service efficiency. This research is executed as a case study at PT. INFOSIS-BLU, an IT service firm where the current helpdesk procedure yields an average response time of 6–8 hours and is devoid of centralized documentation. The suggested system incorporates real-time ticket monitoring, technician allocation, and centralized data management to optimize service operations. The assessment results indicate substantial enhancements, comprising a 30% augmentation in operating efficiency, a decrease in response time to below 10 minutes, and user satisfaction attaining 85%. The data demonstrate that XP is proficient in creating flexible and efficient helpdesk systems. 
Peningkatan Keterlacakan Melalui Pengembangan Sistem Informasi Kalibrasi Pressure Gauge Berbasis ISO/IEC 17025 Hasan, Liestiani; Juliana, Annah; Ernawati, Ayu; Syifaurachman, Syifaurachman
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3721

Abstract

Calibration laboratories have managerial and technical obligations to ensure traceability and data security in accordance with the ISO/IEC 17025:2017 accreditation standard. PT Heksa Instrumen Sinergi currently relies on a manual, spreadsheet-based method for processing pressure gauge calibration data, which is highly susceptible to human error, document duplication, and delays in issuing physical certificates. This research aims to design and implement a web-based calibration information system to digitalize the workflow and enhance the laboratory's compliance with quality standards. The software development utilized the Waterfall method, encompassing requirements analysis for four access privilege levels (Admin, Technician, Analyst, and Issuer), system design utilizing the Unified Modeling Language (UML), and implementation using PHP programming and a MySQL database. The functional testing results, conducted via the Black Box method, demonstrated that the system operates with 100% validity and no errors. The implementation of this system has proven successful in automating the calculation of uncertainty values, issuing standardized digital calibration certificates in real-time, ensuring the integrity of calibration records, and increasing data processing time efficiency by up to 50%. Keywords: Information System; Data Traceability; Data Security; ISO/IEC 17025:2017; Pressure Gauge.   Abstract Laboratorium kalibrasi memiliki kewajiban manajerial dan teknis untuk memastikan ketertelusuran dan keamanan data sesuai dengan standar akreditasi ISO/IEC 17025:2017. PT Heksa Instrumen Sinergi saat ini masih mengandalkan metode manual berbasis spreadsheet untuk memproses data kalibrasi pengukur tekanan, yang sangat rentan terhadap kesalahan manusia, duplikasi dokumen, dan keterlambatan dalam penerbitan sertifikat fisik. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi kalibrasi berbasis web untuk mendigitalisasi alur kerja dan meningkatkan kepatuhan laboratorium terhadap standar mutu. Pengembangan perangkat lunak menggunakan metode Waterfall, yang mencakup analisis persyaratan untuk empat tingkat hak akses (Admin, Teknisi, Analis, dan Penerbit), desain sistem menggunakan Unified Modeling Language (UML), dan implementasi menggunakan pemrograman PHP dan basis data MySQL. Hasil pengujian fungsional, yang dilakukan melalui metode Black Box, menunjukkan bahwa sistem beroperasi dengan validitas 100% dan tanpa kesalahan. Implementasi sistem ini telah terbukti berhasil dalam mengotomatiskan perhitungan nilai ketidakpastian, menerbitkan sertifikat kalibrasi digital standar secara real-time, memastikan integritas catatan kalibrasi, dan meningkatkan efisiensi waktu pemrosesan data hingga 50% Kata kunci: Sistem Informasi; Ketertelusuran Data; Keamanan Data; ISO/IEC 17025:2017; Pengukur Tekanan.
Formulation of a Weighted Scoring Model Based on Forensic Medical Examination Data as a Decision Support for Prioritizing Sexual Violence Cases Syifaurachman Syifaurachman; Stefanus Satryo Wasono; Ragil Nur Iman; Yosia Simbolon
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 4 (2026): Volume 4 Number 4 December 2026 (Online First)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i4.436

Abstract

Recent empirical studies highlight that post-factum clinical forensic records in sexual violence cases remain underutilized, leaving emergency case handling heavily dependent on intuitive or first-come, first-served administrative practices that delay critical interventions. This study aims to formulate and validate an automated decision support model utilizing the Simple Additive Weighting (SAW) algorithm to structure medicolegal data into an objective priority-ranking mechanism for case handling. Practically, this framework enables public hospitals and victim protection units to optimize scarce emergency resources, safeguard golden hours for medical prophylaxis, and execute immediate safe-house evacuations. The research method extracted five clinical-forensic criteria—victim age vulnerability, physical and or genital trauma severity, perpetrator relationship, reporting delay, and toxicological or weapon threats from 50 de-identified clinical forensic records, normalized through linear cost-benefit functions weighted by forensic specialists. The results demonstrate robust algorithmic stability across varying weight scenarios, with Spearman's rank correlation reaching and , alongside an empirical expert concordance of () that successfully categorized 22% of cases into Emergency Handling Priority I. The research completely meets the expected computational precision and validity, confirming that the model provides a transparent handling prioritization mechanism. However, further multi center trials and integration with natural language processing tools are needed to automate textual feature extraction in larger hospital settings.
Co-Authors Ahmad Asep Suhendi Ananda Syarif Hidayatullah Ayu Ernawati, Ayu Galuh Oka Safitri Hasan, Liestiani Juliana, Annah Muhamad Ihsan Ashari Muhamad Ihsan Ashari Noprianto Noprianto Ragil Nur Iman Rian Mohamad Said Samso Supriyatna Stefanus Satryo Wasono Yosia Simbolon