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All Journal Plano Madani : Jurnal Perencanaan Wilayah dan Kota Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING JISICOM (Journal of Information System, Infomatics and Computing) JSAI (Journal Scientific and Applied Informatics) Jurnal Informatika dan Rekayasa Elektronik Cyber Security dan Forensik Digital (CSFD) Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informatika dan Komputer Walisongo Journal of Information Technology Journal La Multiapp JURNAL ILMIAH GLOBAL EDUCATION Warta LPM Software Development Digital Business Intelligence and Computer Engineering Jurnal Pengabdian KOLABORATIF
Mustofa, Hery
Universitas Islam Negeri Walisongo Semarang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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Comparative Analysis of Penetration Testing Frameworks: OWASP, PTES, and NIST SP 800-115 for Detecting Web Application Vulnerabilities Imtias, Muhamad Bunan; Umam, Khothibul; Mustofa, Hery; Subowo, Moh Hadi
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.9846

Abstract

Web application security faces increasingly complex challenges as digital architectures evolve, necessitating the selection of appropriate and effective penetration testing methods. This study presents a comparative analysis of the OWASP Testing Guide, PTES, and NIST SP 800-115 frameworks in detecting web application vulnerabilities. Through experiments on DVWA and OWASP Juice Shop, the frameworks were evaluated based on detection speed, vulnerability count, and severity. The results highlight a clear trade-off: OWASP proved the most efficient (85 minutes average, 59 total vulnerabilities), making it ideal for rapid assessments. PTES demonstrated the most comprehensive technical depth (63 vulnerabilities, highest severity) but required the most time, while NIST SP 800-115 (49 vulnerabilities) excelled in compliance and risk management integration. The study recommends selecting OWASP for efficiency, PTES for deep technical audits, and NIST for regulatory alignment.
Analisis Performa Metode Machine Learning dalam Mengidentifikasi Penyebab Ulasan Rating Satu Aplikasi MyBluebird Azziizah, Almira Farradinda; Mustofa, Hery; Umam, Khothibul; Handayani, Maya Rini
Jurnal Ilmiah Global Education Vol. 6 No. 4 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i4.4704

Abstract

This study addresses the increasing prevalence of negative user reviews for the MyBluebird ride-hailing application, focusing on the identification and classification of the main causes of one-star ratings. The research aims to compare the effectiveness of Support Vector Machine, Random Forest, and Naïve Bayes algorithms in classifying user complaints. Employing a quantitative experimental approach, the study utilizes a dataset of 1,399 one-star reviews collected purposively from Google Play Store. Data preprocessing includes cleaning, tokenization, and feature extraction using TF-IDF. The classification models are evaluated using accuracy, precision, recall, and F1-score metrics. Results indicate that Random Forest achieves the highest accuracy (90%), outperforming the other algorithms, with bugs/errors as the most frequent complaint, followed by driver performance, other issues, and price. The study concludes that machine learning-based classification can effectively map user dissatisfaction, though data imbalance remains a limitation. Future research should apply data balancing techniques and expand the dataset for broader generalization. Practical implications suggest that developers can utilize automated classification to improve service quality and address user needs more efficient.
Analisis Forensik Metadata Lokasi Android Dengan Autopsy dan Evaluai Akurasi Haversine Nuurun Najmi Qonita; Divana Taricha Salmalina; Danita Divka Sajmira; Hery Mustofa
Cyber Security dan Forensik Digital Vol. 8 No. 2 (2025): Edisi November 2025
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2025.8.2.5221

Abstract

Di balik setiap foto yang diambil dengan ponsel Android tersembunyi jejak digital yang tak kasat mata yaitu metadata lokasi. Informasi ini bukan sekadar angka koordinat, melainkan kunci penting dalam menelusuri perjalanan seseorang dalam investigasi forensik digital. Penelitian ini bertujuan untuk menganalisis metadata lokasi dari citra Android menggunakan perangkat lunak forensik open-source Autopsy, serta mengevaluasi akurasi data lokasi tersebut dengan rumus Haversine. Metode yang digunakan meliputi ekstraksi metadata EXIF dari file gambar, pengumpulan koordinat lokasi sebenarnya sebagai ground truth, dan penghitungan jarak kesalahan posisi. Hasil menunjukkan bahwa Autopsy mampu mengidentifikasi metadata lokasi dengan rata-rata tingkat akurasi sebesar 0.30 meter, yang menjadikannya alat yang dapat diandalkan dalam mendukung proses investigasi forensik digital. Kata kunci: Forensik Digital, Metadata Lokasi, Android, EXIF, Autopsy -------------------------------------------------------------------------------------------------- FORENSIC ANALYSIS OF ANDROID LOCATION METADATA USING AUTOPSY AND HAVERSINE ACCURACY EVALUATION Behind every photo taken with an Android phone lies an invisible digital trace, location metadata. This information is more than just a set of coordinates; it can serve as a crucial key in uncovering an individual's movements during a digital forensic investigation. This study aims to analyze the location metadata embedded in Android images using the open-source forensic tool Autopsy, and to evaluate the accuracy of the retrieved location data using the Haversine formula. The methodology involves extracting EXIF metadata from image files, collecting the actual location coordinates as ground truth, and calculating the positional error distance. The results show that Autopsy is capable of identifying location metadata with an average accuracy of 0.30 meters, making it a reliable tool to support digital forensic investigations. Keywords: Digital Forensics, Location Metadata, Android, EXIF, Autopsy
Analisis komparatif kinerja HAProxy dan Zevenet pada infrastruktur web server Bare-Metal Linux Nursafaat, Maulachusnan; Mustofa, Hery; Yuniarti, Wenty Dwi; Umam, Khothibul
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.106-116

Abstract

As systems demand high speed, stability, and the ability to handle large volumes of traffic, selecting an appropriate load-balancing solution becomes a critical aspect of infrastructure design. This study aims to compare the performance of two open-source load balancers, HAProxy and Zevenet, implemented on a Linux-based bare-metal web server infrastructure. The experiment was conducted using two identical backend servers and the wrk benchmarking tool, configured for five-minute tests, 1000 concurrent connections, and twelve repetitions per platform. The evaluation metrics included average latency, request throughput, and the number of timeout errors during the testing period. The results show that HAProxy achieved lower average latency (261.97 ms), higher throughput (1076.68 RPS), and fewer timeout errors (37,742) than Zevenet. While Zevenet offers a more user-friendly graphical interface, HAProxy proved more efficient and stable under high traffic. This study provides practical insights for implementing effective load balancing in non-virtualized systems with limited resources and high-performance demands.
Co-Authors Adzhal Arwani Mahfudh Adzhal Arwani Mahfudh Adzhal Arwani Mahfudh Alfian Hidayat Ali, Thooriq Nur Azziizah, Almira Farradinda Danita Divka Sajmira Divana Taricha Salmalina Fauzan, Roman Fayza Nayla Riyana Putri I Gede Wyana Lokantara . Imtias, Muhamad Bunan Indra Abdam Muwakhid Khoirul Adib Khothibul Umam Kustomo Lulu Choirun Nisa Mahfudh, Adzhal Arwani Masuzzahra, Tsaura Rafah Masy Ari Ulinuha Maya Rini Handayani Nur Cahyo Hendro Wibowo Nur Khasanah Nursafaat, Maulachusnan Nuurun Najmi Qonita Putri, Amiliya Putri, Indira Alifia Roman Fauzan Salsabila, Yusrina Ilmi Stefanus Widhiatmoko Subowo, Moh Hadi Syaiful Bakhri Syaiful Bakhri Syaiful Bakhri Thooriq Nur Ali Wenty Dwi Yuniarti, Wenty Dwi