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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) CESS (Journal of Computer Engineering, System and Science) JIKO (Jurnal Informatika dan Komputer) SMARTICS Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Komtika (Komputasi dan Informatika) Compiler INTEK: Informatika dan Teknologi Informasi Jurnal Ilmiah Sinus Building of Informatics, Technology and Science JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Manajemen Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) Jurnal Repositor Cyber Security dan Forensik Digital (CSFD) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Kajian Ilmiah Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Teknomatika: Jurnal Informatika dan Komputer Jurnal Komtika (Komputasi dan Informatika)
Dedy Hariyadi
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Social Sciences Other

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Journal : Compiler

 1 
Network Forensic of Cryptocurency Miners Arief Ikhwan Wicaksono; Rama Sahtyawan; Dedy Hariyadi
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.185 KB) | DOI: 10.28989/compiler.v11i2.1369

Abstract

As reported by BSSN on August, 2022, Indonesia has traffic anomalies of 1.6 billion traffic, with 55.83% of anomaly findings containing malware and the remaining 14.99% information disclosure is another activity. Some of this data, when further analyzed based on the type of attack, falls into the categories of breaches, successes, attempts, and failures. Investigate crimes related to misuse of resources for illegal cryptocurrency mining activities. Therefore, this study should consider acquisitions from the network side as they apply to existing government agencies/institutions. This observation thereby provides information for later evidence, intruder detection, and prosecution of perpetrators who misuse resources for personal gain. As a result, the harvesting processs can obtain valuable data from routers as a digital evidence for investigating information about network attack activitiy and anomalies traffic.
Digital Forensic Analysis of Hybrid Scooter Motors using Smart Flow and Integrated Digital Forensics Standard Saputri, Yerly Ania; Fazal, Ahmad; Ningrat, Aditya Wahyu; Hariyadi, Dedy
Compiler Vol 14, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i2.3211

Abstract

This research addresses the challenges of digital forensics for connected hybrid vehicles, focusing on the Yamaha Fazzio hybrid scooter. The study highlights how limited collection methods and mobile device encryption often compromise the integrity of electronic evidence. To address these issues, a five-stage framework was developed, combining guidelines from NIST SP 800-101 Rev.1 and ISO/IEC 27037:2012. This comprehensive framework includes data collection, evidence identification, forensic acquisition, examination and analysis, and final reporting. The framework's effectiveness is boosted by Smart Flow automation on Cellebrite UFED devices, which automates the identification of Android devices, extraction of Y-Connect App databases, GPS logs in JSON, and travel route thumbnails. This automation significantly enhances the efficiency of the acquisition and analysis processes while maintaining evidence integrity. Evaluations showed successful data acquisition from a Xiaomi Mi 5s Plus with the Y-Connect App. Details from the riding_log table were extracted, providing information on travel routes, distance, average and maximum speeds, and estimated fuel consumption during a Yogyakarta - Klaten travel test scenario. These results are crucial for developing digital forensics SOPs for other connected hybrid vehicles in future research.
Co-Authors Abdul Rohman Supriyono Adkhan Sholeh Adri Priadana Ahmad Luthfi Akas Wisnuaji Akas Wisnuaji Akas Wisnuaji Alfirst Radena Julio Vanca Alfun Roehatul Jannah Anas Sufi Hasan Arief Ikhwan Wicakasono Arief Ikhwan Wicaksono Arif Akbarul Huda Asnawi, Choerun Azzam Syawqi Aziz Barep Setiyadi Burhan Alfironi Muktamar Chanief Budi Setiawan Choerun Asnawi Daila Sari, Indah Dewi , Grita Supriyanto Dewi, Grita Supriyanto Dia Putera Idiana Kusuma Dondy Bappedyanto Eka Tresna Irawan Evy Kusumaningrum Faulinda Ely Nastiti Fazal, Ahmad Fazlurrahman Bima Fazlurrahman Fazlurrahman Fazlurrahman, Fazlurrahman Finansia, Cici Grinaldy Yafi’ Rasyad Hendro Wijayanto Hendro Wijayanto Hermawan, Heru Bagus Ike Yunia Pasa Imam Ahmad Subhan Imam Puji Santoso Indah Daila Sari Irmma Dwijayanti Kharisma Kurniawan, Hendarto Kusumaningtyas, Kartikadyota Kusumaningtyas, Netania Indi Lahitani, Alfirna Rizqi M. Roykhul Jinan M. Wahyu Indriyanto Mandahadi Kusuma, Mandahadi Mardhani Riasetiawan Ma’rifat Ma’rifat Mei Purweni Muhammad Habibi Muhammad, Abdul Haris Muttaqin, Filda Fikri Faizal Nakulo, Bambang Nasution, Annio Indah Lestari Nindya Dwi Anggana Ningrat, Aditya Wahyu Nugroho, Muhammad Agung Nur Hikmatul Maulida Nur Seto Bayuaji Puji Winar Cahyo Purweni, Mei Rama Sahtyawan Ramadhana Saputra Ramadhani, Erika Rizdqi Akbar Ramadhan Rosid , Ibnu Abdul Saputri, Yerly Ania Sari, Indah Daila Setiyadi, Barep Subektiningsih Subektiningsih Sumarsono Sumarsono Sumarsono Sumarsono Tri Febrianto Tri Febrianto Ulfi Saidata Aesyi Wing Wahyu Winarno