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All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik Jurnal Teknologi dan Manajemen Informatika Jurnal Buana Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika AJIE (Asian Journal of Innovation and Entrepreneurship) Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri JRST (Jurnal Riset Sains dan Teknologi) JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Ilmiah Sinus EDUMATIC: Jurnal Pendidikan Informatika JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Infotekmesin Mobile and Forensics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) JIIP (Jurnal Ilmiah Ilmu Pendidikan) JITU : Journal Informatic Technology And Communication Automata Journal of Education Informatic Technology and Science Just TI (Jurnal Sains Terapan Teknologi Informasi) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Abdi Masyarakat Indonesia Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Reformasi Hukum Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Teknologi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
Yudi prayudi
Universitas Islam Indonesia
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

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Artificial Intelligence-Based Deepfake Crimes: A Conception of Culpability Principle as a Criminal Liability Reform Wafi, Muhammad Syafiq; Aloysius Wisnubroto; Prayudi, Yudi
Reformasi Hukum Vol 29 No 2 (2025): August Edition
Publisher : Fakultas Hukum Universitas Islam Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46257/jrh.v29i2.1304

Abstract

The phenomenon of deepfake crimes based on artificial intelligence (AI) demands a reform of criminal liability concepts through the expansion of the culpability principle, allowing the placement of AI as a subject of law. However, the idea of recognizing AI as an independent legal entity (electronic personhood) is considered irrelevant, since AI lacks human-like will and moral autonomy. Therefore, this study proposes a model of criminal liability that extends the culpability principle to providers and users of deepfake technology. Using a normative legal research method based on primary and secondary legal materials, this study comprehensively examines the application of the culpability principle through a comparative approach among various jurisdictions. The findings indicate that the most proportional form of liability is the vicarious liability model, which was initially applied to corporations but can be adapted to the AI context. In this model, software providers may be held liable for acts committed by AI in deepfake crimes, particularly as part of their responsibility toward technology governance regulations. The study recommends establishing national regulations emphasizing governance systems based on risk assessment, risk management, and impact assessment, as practiced in the European Union, Canada, and the United States. In conclusion, reforming criminal liability in the AI era is a strategic step to address the growing prevalence of deepfake crimes and to ensure that the legal system remains adaptive to technological developments.
Anti Forensik Voice Note Menggunakan Whatsapp Mod Mardlatillah, Hanifah; Prayudi, Yudi; Ramadhani, Erika
Jurnal Teknik Vol 21 No 2 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i2.328

Abstract

Currently there is a social media application that provides additional features in the form of voice changers by utilizing the voice note feature of Whatsapp Mod which can blur the identity of the voice owner. In several articles, Whatsapp Mod claims that this application is an anti-banned application, so it is feared that Whatsapp Mod is an application that uses anti-forensic techniques in it. This study aims to prove whether voice modifiers using voice notes on Whatsapp Mod can be a form of anti-forensic activity which can later make it difficult for investigators to conduct investigations. This will be proven by the use of a special method in handling audio forensics in which there are four stages, namely Acquisition, Enhancement, Decoding, and Voice Recognition. Audio forensics analysis that was carried out between voice recordings modified using Whatsapp Mod voice notes and original voice recordings showed results that were not identical. This proves that the voice modifier using the Whatsapp Mod voice note is considered an effective anti-forensic tool.
Metode Deteksi Tepi Block JPEG Terkompresi untuk Analisis Manipulasi Splicing pada Citra Digital Efendi, Muhamad Masjun; Sugiantoro, Bambang; Prayudi, Yudi
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 2 No. 1 (2018): PROSIDING SEMNAS INOTEK Ke-II Tahun 2018
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v2i1.449

Abstract

Citra digital semakin mudah untuk dimanipulasi dan diedit. Sering kali sebelum citra tersebut dipublikasi dilakukan proses manipulasi. Salah satu bentuk manipulasi citra adalah splicing. Manipulasi ini dilakukan dengan menduplikasi bagian tertentu dari satu citra atau lebih dan meletakkannya pada bagian tertentu di citra target (copy-move pada citra yang berbeda). Tujuan dari manipulasi splicing ini adalah untuk menambah objek dalam citra, contohnya meletakkan suatu objek pada citra target yang seolah-olah objek tersebut berada disana. Pada penelitian ini manipulasi citra jenis ini dideteksi menggunakan metode deteksi tepi block JPEG terkompresi. Metode ini mampu mendeteksi objek citra yang dimanipulasi dengan baik dan akurat.
Artificial Intelligence-Based Deepfake Crimes: A Conception of Culpability Principle as a Criminal Liability Reform Wafi, Muhammad Syafiq; Aloysius Wisnubroto; Prayudi, Yudi
Reformasi Hukum Vol 29 No 2 (2025): August Edition
Publisher : Fakultas Hukum Universitas Islam Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46257/jrh.v29i2.1304

Abstract

The phenomenon of deepfake crimes based on artificial intelligence (AI) demands a reform of criminal liability concepts through the expansion of the culpability principle, allowing the placement of AI as a subject of law. However, the idea of recognizing AI as an independent legal entity (electronic personhood) is considered irrelevant, since AI lacks human-like will and moral autonomy. Therefore, this study proposes a model of criminal liability that extends the culpability principle to providers and users of deepfake technology. Using a normative legal research method based on primary and secondary legal materials, this study comprehensively examines the application of the culpability principle through a comparative approach among various jurisdictions. The findings indicate that the most proportional form of liability is the vicarious liability model, which was initially applied to corporations but can be adapted to the AI context. In this model, software providers may be held liable for acts committed by AI in deepfake crimes, particularly as part of their responsibility toward technology governance regulations. The study recommends establishing national regulations emphasizing governance systems based on risk assessment, risk management, and impact assessment, as practiced in the European Union, Canada, and the United States. In conclusion, reforming criminal liability in the AI era is a strategic step to address the growing prevalence of deepfake crimes and to ensure that the legal system remains adaptive to technological developments.
Comparative Analysis of Image Steganography using SLT, DCT and SLT-DCT Algorithm Lilik Widyawati; Imam Riadi; Yudi Prayudi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.701

Abstract

Steganography is an interesting science to be studied and researched at this time, because steganography is the science of hiding messages on other digital media so that other parties are not aware of the existence of information in the digital media. Steganography is very effective in maintaining information security, because the existence of this information is obscured so that it is difficult to know where it is. This paper discusses hiding text into images using the Slantlet Transform (SLT) method, Descreate Cosine Transform (DCT) and Hybrid of SLT and DCT. The three methods are implemented in the frequency domain where steganographic imagery is transformed from the spatial domain to the frequency domain and the message bit is inserted into the cover image frequency component. The comparison parameters of these three techniques are based on MSE, PSNR, Capacity & Robustness. From the results of the tests that have been done, it is obtained that the highest PSNR value is generated using the SLT-DCT method, the largest storage capacity is the SLT method while the resistance, SLT-DCT method and DCT method are more resistant to attack than the SLT method.
Hyundai Ioniq Ev Car Acquisition Analysis to Support Vehicle Forensics Activities Zulhair Jidan Dj. Tamu; Yudi Prayudi
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 1 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i1.1724

Abstract

Electric cars are motorized vehicles that use an electric motor as the main driver, which is run by a rechargeable battery. Electric cars have several advantages compared to conventional motorized vehicles that use internal combustion engines, such as lower emissions, cheaper operating costs and better performance. This research aims to identify vehicle forensics acquisition techniques in electric cars using the OBD port, by studying vehicle data usage activities. The acquisition focuses on the Hyundai Ioniq EV electric car, using the OBD port method in data retrieval_, and focusing on logical acquisition. This evidence may include location history, and connected devices, including sudden braking events, gear shifts, wheel speeds, and vehicle acceleration. The results of this research show that the OBD port can be a source of information in vehicle forensics, data collection. There were 20 digital pieces of evidence found, such as ECU data, telematics data, sudden braking system, wheel speed and vehicle acceleration
Penggunaan Metode Reverse Engineering Untuk Analisis Aplikasi .apk Dalam Meningkatkan Keamanan Device Android Fitriyanti S; Yudi Prayudi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3209

Abstract

The digital world has simplified life through technology, particularly with the significant role of smartphones. Android has become the dominant operating system in Indonesia, but its widespread use also increases potential security vulnerabilities, especially since many users lack understanding of data security. During the period of 2018-2020, around 74.95% of smartphone users in Indonesia used Android, most of whom were regular users who may not be aware of data security issues. This research aims to analyze the vulnerabilities of Android devices and the characteristics of the wedding invitation.apk application using reverse engineering to identify malware. Reverse engineering was used to extract data from the wedding invitation.apk file. The research results showed the presence of Spyware malware in the application, which, after installation, could send sensitive data to an external server without adequate protection and access data through OTP SMS and a Telegram bot. This application has the potential to misuse permissions to access SMS, send sensitive data to external servers without permission, and automatically send SMS. To reduce risks, it is recommended to download applications only from trusted sources, check application permissions before installation, regularly update the operating system and applications, and use security applications. This research emphasizes the importance of better security practices in mobile application development to protect users' privacy and data integrity.
Teknik Forensika Digital untuk Investigasi Pesan Sekali Lihat (View Once) pada Aplikasi Instant Messenger Gilang Ramadhan; Yudi Prayudi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.4223

Abstract

The popularity of Instant Messaging apps encourages developers to improve features and security, especially data privacy. However, these improvements also potentially bring risks to users. One of the most popular new features is ‘one-look messages’ to maintain sender privacy. This feature allows messages to disappear once viewed, irrevocably and has been implemented on apps such as Snapchat, Instagram, and WhatsApp. The purpose of this research is to provide a reference on the reliability of digital forensic Tools in uncovering cybercrime. Thus, it is expected that the digital evidence obtained has strong integrity, reliability and legality to be used in the legal process. This research adopts the framework of the National Institute of Standards and Technology (NIST) and analyzes a cybercrime scenario in the form of sending files using the one-look message feature, utilizing the Magnet Axiom digital forensics tool. This research also uses a smartphone with root conditions that have Snapchat, Instagram and WhatsApp applications installed. The results of this study show that with a root smartphone, the use of Axiom magnet forensic Tools is able to acquire and analyze files sent using the one-look feature and obtain 13 digital evidence from 18 scenarios created. There is not much research that discusses the latest features of Instant Messaging applications, with this paper it can provide a little description of the Sekalin see feature and can be developed in the next paper.
PENERAPAN METODE COMPOSITE LOGIC UNTUK PERANCANGAN FRAMEWORK PENGUMPULAN BUKTI DIGITAL PADA MEDIA SOSIAL Al Jumah, Muhammad Naim; Sugiantoro, Bambang; Prayudi, Yudi
ILKOM Jurnal Ilmiah Vol 11, No 2 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i2.442.135-142

Abstract

Social media has become a major part of society. But most of the time social media is used as a way people commit the crime. Due to numerous crimes that use social media, it is essential to design a framework to gather digital evidence on social media. This study develops the design of Framework by implementing Composite Logic Model.  A logic Composite model can be used to determine the role model of any variable or pattern that need to collaborate. Composite Logic Model will produce a role model that has a role to produce patterns so that it can produce the same goal. A method of Composite Logic will collaborate with the Digital Forensics Investigation framework to produce a Digital Evidence Collection Framework on Social Media. Based on data and facts, this study has been producing a new framework of gathering digital evidence on social media. The framework has four main stages in the process of collecting digital evidence on social media including pre-process, collection, analysis, and report.
Dual-Stage Bifurcation With Genetic Algorithm Extraction for Robust Anti-Antiforensic Steganalysis in Grayscale Images Amadeus Pondera Purnacandra; Yudi Prayudi
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i1.28602

Abstract

Steganalysis plays a crucial role in digital forensics by detecting and retrieving hidden information embedded within digital media. Traditional statistical methods, such as Chi-Square and RS-Analysis, are computationally efficient but ineffective against adaptive steganography techniques that minimize detectable distortions. While recent deep learning-based approaches, particularly Convolutional Neural Networks (CNNs), have improved detection accuracy, most rely on single-stream architectures and focus solely on classification, neglecting the recovery of concealed payloads. This study proposes a dual-stage steganalysis framework that integrates a bifurcated CNN for enhanced detection with a genetic algorithm-based extraction pipeline for payload recovery. The bifurcation architecture extends GBRAS-Net by enabling parallel feature learning paths to capture diverse noise patterns, while the extraction module employs chromosome key encoding, Hilbert Curve scrambling, and LZMA compression to reconstruct hidden data. Evaluations on BOSSbase 1.01 and BOWS 2 datasets show that the proposed method achieves an average detection accuracy of 92.53%, outperforming the original GBRAS-Net (89.8%) and other CNN-based models by a statistically significant margin (p < 0.01). Furthermore, the extraction module achieves 100% payload recovery with perfect data integrity verification. The results demonstrate that integrating bifurcated feature learning with robust extraction addresses critical gaps in current steganalysis, offering a practical forensic tool for both detection and reconstruction of hidden information. This approach has significant potential for applications in law enforcement, cybersecurity, and intelligence operations.  
Co-Authors - Bambang Sugiantoro, Bambang Sugiantoro - MTI UII Yogyakarta, Zaenudin - UIN Sunan Kalijaga Yogyakarta, Bambang Sugiantoro Abdul Gani Fadhlulrahman Abdul Muis Abdul Rohman Supriyono Abdul Rohman Supriyono Achmad Syauqi Adhitya Wishnu Wardhana Adi Fajaryanto Adristi, Fikri Irfan Agung Firmansyah, Rico Agus Wijayanto Ahmad Luthfi Ahmad Luthfi Ahmad Luthfi Ahmad Luthfie Ahmad Muhariya Ahmad Ridha Kelrey Ahmad Rois Syujak Ahmad Subki - STMIK Mataram Ahmad, Muhammad Sabri Akhmad Muzakka Al Jum'ah, Muhammad Na'im Aloysius Wisnubroto Amadeus Pondera Purnacandra Andrian Sah Ardy Wicaksono Arif Surya Putra Arrochman, Ibnu Fajar Arya Danuarta Ramadhan Astria Adhi Wijaya azis catur laksono Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro - Bambang Sugiantoro CITRA ARFANUDIN Danar Cahyo Prakoso Dedy Frianto Dhomas Hatta Fudholi Dimas Pamilih Epin Andrian Dinda Shafira Gita Islami Dirgahayu, Raden Teduh Dirman Dirman Dita Rahayu Berliana Dodi Prakoso Wibowo Dwi Kurnia Wibowo Efendi, Muhamad Masjun Erika Ramadhani Erika Ramadhani Ermadi Satriya Wijaya Fajaryanto, Adi Fauzan Natsir Fetyata Yudha Fietyata Yudha Firdaus, Jasmine Erina Fitriyanti S Fitriyanti S Fudholi, Dhomas Hatta Giffary, Farhan Wildan Gilang Ramadhan Helmi Rachman Ibnu Fajar Arrochman Idham Halik Ilman Pradhana Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Isriade Putra Ivany Hikmatunnisa' Iwan Aprizal Kharisma Mahesa Koes Wiyatmoko Kun Saidi Kusuma, Permadi Lilik Widyawati Madi, Permadi Kusuma Mahmud, Rifqi Mardlatillah, Hanifah Merisa Kurniasari Fadilla Moch. Bagoes Pakarti, Moch. Bagoes Moh Fadly Panende Muh. Ditra Pamungkas Muhamad Maulana Muhammad Hafiz Muhammad Khairul Faridi Muhammad Naim Al Jumah Muhammad Naufal Bahreisy Muhammad Nur Adhar Muhammad Zulfadhilah Muin, Yasir Muzammilatul Wachidah Nafila, Feryan Lutfie NANNY, NANNY Nora Lizarti Nukman Nukman Nurhayati Jiatmiko Nurmi Hidayasari Nuryasin, Ilyas Pahrul Irfan Pomalingo, Suwito Prakoso, Danar Cahyo R, Zulihsan Rachman, Helmi Raharjo, Toto Rahmat Inggi Ramadhan, Arya Danuarta Ramadhani, Erika Ramansyah Ramansyah Ridho Rahmadi Riko Iman Decamarta Rio Pradana Aji Ririn Anggraini Rosi Rahmadi Syahputra Rosidin Al Caruban Ruuhwan Setiawan, Mukhammad Andri Setyaningsih, Putry Wahyu Sisdarmanto Adinandra, Sisdarmanto Siti Kartika Munawarah Subki, Ahmad Sudinugraha, Tri Sudirman Sudirman Supriyono, Abdul Rohman Syarif Hidayat Teduh Dirgahayu Tino Feri Efendi Tommy Nugraha Manoppo Triawan Adi Cahyanto Verry Noval Kristanto Virjayanti Lazinu Wachidah, Muzammilatul Wafi, Muhammad Syafiq Wisnu Pranoto Wisnu Pranoto Wisnu Sanjaya Zardai Alghifari Zulhair Jidan Dj. Tamu