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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JITU : Journal Informatic Technology And Communication
Irfan Hanafi
Universitas Semarang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Library & Information Science

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PEMILIHAN USAHA SEKTOR PERTANIAN UNGGULAN DI WILAYAH PULAU JAWA MENGGUNAKAN METODE MOORA Irfan Hanafi; Petra Erlangga Ardy Wibowo; Agusta Praba Ristadi Pinem
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 1 (2025): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i1.5540

Abstract

The agricultural sector plays a crucial role in supporting regional economies, particularly in providing food supplies, creating employment opportunities, and reducing poverty levels. However, identifying priority agricultural sectors often poses challenges due to the lack of comprehensive analysis and sufficient data. This study aims to develop a Decision Support System (DSS) utilizing the Multi-Objective Optimization by Ratio Analysis (MOORA) method to identify the leading agricultural enterprises in a specific region. MOORA was selected for its advantages in efficiently and straightforwardly managing multiple criteria. The research incorporates seven key criteria: regional suitability, types of superior commodities, productivity levels, land area, seasonal or annual patterns, labor requirements, and funding sources. The findings indicate that the best alternative is Food Crops, achieving the highest Yi value of 0.5104, followed by Horticulture and Plantations. Although there are similarities between the input data and the rankings produced, the validity of this research has been further analyzed using Spearman’s rank correlation test. The results show a correlation value of 0.300, indicating a weak relationship between the two variables compared. This weak correlation underscores the need to enhance data quality and integrate information on the number of enterprises to make the ranking system more effective and relevant in supporting the development of the agricultural sector.
Analisis Efektivitas Teknik File Carving pada Pemulihan Data Digital Menggunakan PhotoRec Susanto; Irfan Hanafi; Narisa Aulia; Muhammad Jauhar Fardani; Muhammad Nur Irfan
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2245

Abstract

Data loss is a critical issue in the digital era, both in everyday computing and in forensic investigations. This study aims to evaluate the effectiveness of PhotoRec, an open-source file carving tool, in recovering lost files from a FAT32 storage medium. A strict digital forensic approach was applied by performing disk imaging, preserving evidence integrity, and documenting each stage in detail. Data loss was simulated through logical deletion and by scanning unallocated sectors to closely replicate real-case conditions. PhotoRec was then utilized to select the target media, identify partitions, determine the file system type, and scan free space to extract files based on signature recognition. The findings show that PhotoRec successfully recovered a total of 50 files, including all primary files deleted during the experiment. In addition, several system-related files such as ELF were also recovered, illustrating the aggressive nature of carving techniques that extract any recognizable data structure. These results confirm that PhotoRec can operate effectively in data loss scenarios on FAT32 media, even when file metadata is no longer available. This study contributes to a deeper understanding of PhotoRec’s performance within the context of digital forensics and highlights its relevance as an investigative tool that prioritizes accuracy, integrity, and procedural traceability.
Co-Authors Agusta Praba Ristadi Pinem Muhammad Jauhar Fardani Muhammad Nur Irfan Narisa Aulia Petra Erlangga Ardy Wibowo Susanto