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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: 10.1234/mdcze668

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.  
Sistem Aplikasi Kas Untuk Pembukuan Koperasi Ta’awun Berbasis Website Menggunakan Metode Agile Sekar Asri Andamari; Muhammad Fauzan Gustafi
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.2195

Abstract

The Ta'awun Cooperative was established within the Muhammadiyah Metro General Hospital environment. All financial management activities are still carried out manually, which causes a lack of transparency and can lead to errors. Therefore, a digital system is needed to support cash management. This research aims to develop a website-based cooperative cash application system to support the recording of cash inflows, cash outflows, and all existing transactions so that they are easily accessible. This development uses Agile Software Development with the stages of planning, implementation, testing, documentation, deployment, and maintenance. The application was built using PHP (Laravel Framework) with Filament as the admin panel to support data processing and MySQL as the database. This application system is capable of automating the recording of all cash inflows, cash outflows, loan data, payment data, and presenting financial reports in real-time, as well as having an easy-to-use interface. Testing through Black Box Testing and User Acceptance Testing (UAT) showed that the system functions as expected and is well received by cooperative administrators because it is easy to use and improves recording efficiency. This system is a solution for cooperatives undergoing digitalization, while also supporting modern, accountable, and transparent governance. 
Teacher AI Literacy in Digital Teaching Material Development: An Observational Study in Yogyakarta Muhammad Fauzan Gustafi; Amalina Nur Arifah; Muhammad Haedar Zhafran Hidayatulloh
Journal of Creative Power and Ambition (JCPA) Vol. 4 No. 01 (2026): Journal of Creative Power and Ambition (JCPA)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcpa.v4i01.1147

Abstract

The integration of Artificial Intelligence (AI) in education is increasingly urgent in the era of digital transformation, yet AI literacy levels among Indonesian educators remain insufficiently mapped. This study aims to analyse AI literacy levels among primary and secondary school teachers in the context of digital teaching material development in Yogyakarta. Using a descriptive-qualitative design with an observational approach, the study involved 161 educators across educational levels observed during four AI, AR, and VR workshop sessions in Yogyakarta. Data were collected through structured observation and field notes, and analysed using reflexive thematic analysis. Results revealed significant differences in generative AI exposure: all teachers with less than five years of teaching experience (49 teachers, 100%) had been exposed to generative AI, while 72.32% of senior teachers (81 out of 112) had comparable exposure. Thematic analysis identified three main themes: (1) varying patterns of AI exposure and technology readiness, (2) barriers to AI adoption encompassing infrastructure, mindset, and competency factors, and (3) preferences for practice-based training. These findings are interpreted through the Technology Acceptance Model (TAM) and Diffusion of Innovation frameworks, contributing to theoretical understanding of intergenerational gaps in educational technology adoption in Indonesia.