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Analisis Kasus Kehilangan Data Akibat Format dan Pemulihan Data Menggunakan Aplikasi Wondershare Recoverit Purnama, Wahyu Aji; Servanda, Yustian; Djumhadi; Wijayanto, Agus
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 4 (2024): OCTOBER-DECEMBER 2024
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.v8i4.2367

Abstract

Data loss is a prevalent issue encountered by computer users, often arising from accidental formatting of storage media. This study examines a specific instance of data loss on a flash disk due to accidental formatting and evaluates the efficacy of Wondershare Recoverit, a widely-used data recovery application. The research employs a case study approach, simulating a scenario in which a flash disk is inadvertently formatted, leading to data loss. The findings indicate that Wondershare Recoverit is an effective tool for recovering data lost due to formatting. The application features an intuitive and user-friendly interface, making it accessible to users with varying levels of technical expertise. Wondershare Recoverit can recover a wide range of file types, including photos, videos, documents, and other files lost due to formatting. Furthermore, the application supports data recovery from various storage devices, such as internal and external hard drives and other media
Analysis of the Decision System for Selecting Interest in Concentration Using the SMART Method Wahyu Nur Alimyaningtias; Isa Rosita; Djumhadi; Novi Indrayani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2020

Abstract

The information technology study program at the Faculty of Computer Science, Mulia University has two areas of concentration, namely network technology and forensic and security architecture. Students tend to be confused in determining their interest in one of the concentrations so that they are less prepared in choosing concentration courses that suit their talents and interests. This research aims to make it easier for students to classify the types of interests according to their interests. Especially 5 & 6 semester students who are involved in the Information Technology (IT) study program. IT students, have tendencies such as confusion, or doubts in choosing a concentration interest in the study program. Therefore, by conducting this research and realizing its objectives, data collection and data analysis techniques were used and SMART Decision Analysis (Simple Multi Attribute Rating Techniue) was used to produce decisions for students who had the interests and talents of the selected concentrations