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All Journal JRST (Jurnal Riset Sains dan Teknologi) Jurnal Penelitian dan Pengabdian Masyarakat Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) JOCHAC
Muhammad Fauzan Gustafi
Universitas Siber Muhammadiyah
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Penerapan Tool Recovery data dalam Akuisisi Data Forensik Flashdrive: Indonesia Muhammad Immawan Aulia; Panggah Widiandana; Latifah Iriani; Muhammad Fauzan Gustafi; Muhammad Azam Hasani
Journal of Cyber Health and Computer Vol 2 No 1 (2024): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v2i1.14

Abstract

Di era digital yang serba cepat ini, flashdrive menjadi salah satu metode penyimpanan yang paling populer. Saat-saat tertentu, data flashdisk dapat hilang, dan kehilangan data ini dapat membawa konsekuensi yang signifikan baik secara profesional maupun pribadi. Dalam penelitian ini, contoh pemulihan data dari flashdisk yang tidak dapat diakses setelah dicabut secara paksa selama proses transfer data dibahas. Metode forensik statik dan alat Disk Drill, berhasil menemukan sebanyak 7626 file dari partisi yang tidak teralokasikan dengan ukuran total 17,3 GB. Bukti digital yang telah dipulihkan sebanyak 49 files yang disajikan dalam bentuk file dengan berbagai ekstensi, seperti gambar, audio, dokumen, dan arsip. Kemampuan alat pemulihan data yang canggih memungkinkan pemulihan berbagai jenis file, yang meningkatkan peluang untuk menyelamatkan data yang hilang.
Application of Data Recovery Tools in Flash Drive Forensic Data Acquisition Muhammad Immawan Aulia; Panggah Widiandana; Latifah Iriani; Muhammad Fauzan Gustafi; Muhammad Azam Hasani
Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Vol. 2 No. 1 (2024): Multimedia Integration and computer networks in the Development of Modern Infor
Publisher : Universitas Islam Al-Azhar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36679/s4kira.v2i1.17

Abstract

In this fast-paced digital era, flash drives have become one of the most popular storage methods. At times, flashdrive data can be lost, and losing this data can have significant consequences both professionally and personally. In this study, an example of data recovery from an inaccessible flashdrive after being forcibly removed during the data transfer process is discussed. Static forensic methods and the Disk Drill application succeeded in finding 7626 files from unallocated partitions with a total size of 17.3 GB. The digital evidence that has been recovered is 49 files which are presented in the form of files with various extensions, such as images, audio, documents and archives. Advanced data recovery tool capabilities enable recovery of various types of files, which increases the chances of rescuing lost data.  
Optimization of AI Usage in Learning Materials Application of Prompt Engineering Techniques for Learning Management Systems (LMS) Muhammad Fauzan Gustafi
JRST (Jurnal Riset Sains dan Teknologi) Volume 9 No. 2 September 2025: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v9i2.23393

Abstract

The application of artificial intelligence (AI) in education opens new opportunities to enhance the quality and effectiveness of learning materials. This study integrates the capabilities of ChatGPT-4o with Prompt Engineering techniques, including persona, context, task, format, exemplar, and tone, to develop AI-based adaptive and interactive instructional content within Learning Management Systems (LMS). By employing these techniques, AI can generate more relevant, personalized, and academically aligned learning materials. The evaluation results using Mean Absolute Error (MAE) indicate that the error rate in generating learning outcomes is 17, syllabus design 14, quiz generation 12, and retrieval of CPL & CPMK 9. These values demonstrate that while ChatGPT-4o is reasonably accurate in generating instructional materials, deviations still exist, particularly in completeness of information and material specification. Furthermore, manual validation remains necessary to ensure alignment with academic standards. Thus, this study confirms that AI-based Prompt Engineering can be an effective and efficient tool for supporting digital learning, yet human supervision is essential to maintain accuracy, credibility, and the quality of educational content.
Workshop Literasi AI untuk Pembuatan Bahan Ajar Digital bagi Guru SD hingga SMA/SMK Muhammad Fauzan Gustafi; Amalina Nur Arifah; Muhammad Haedar Zhafran Hidayatulloh
Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 1 (2026): February 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/evcn1241

Abstract

Digital literacy among educators in Indonesia, particularly regarding the use of Artificial Intelligence (AI) as an instructional tool, remains a critical challenge. This community service program aimed to improve AI literacy and practical skills in creating AI-based digital teaching materials among educators across educational levels, from elementary to senior high school (SD to SMA/SMK). The program was implemented through a series of workshops covering the use of Generative AI, Augmented Reality (AR), and Virtual Reality (VR) in learning design, conducted in Yogyakarta. Participants included 161 educators: 49 junior teachers (experience < 5 years) and 112 senior teachers (experience > 5 years). Data were collected through observation and documented through thematic analysis. Results showed that 100% of junior teachers and 72.32% of senior teachers (81 out of 112) had been exposed to generative AI tools prior to the workshop. Post-workshop evaluations indicated increased understanding of AI tools and improved ability to design AI-integrated teaching materials. Key barriers to AI adoption identified include limited digital infrastructure, low self-efficacy, and absence of structured AI training programs. The primary output of this program is a set of AI-based digital teaching materials produced by participants during the workshop. These findings contribute practical recommendations for designing scalable AI literacy training programs for educators in Indonesia.
Co-Authors Amalina Nur Arifah Latifah Iriani Muhammad Azam Hasani Muhammad Haedar Zhafran Hidayatulloh Muhammad Immawan Aulia Panggah Widiandana