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Analisis Perbandingan Kinerja SHA-256, SHA3-256, dan BLAKE2s untuk Integritas Transaksi Digital dalam Konteks Distributed Ledger Yuni Dwi Anggraeni; Arum Prasetyajati; Zulfikar Yusya Mubarak
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 4 No. 3 (2026): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v4i3.6736

Abstract

Cryptographic hash functions are fundamental to transaction integrity in distributed-ledger systems, but their computational performance can vary across software and hardware environments. This study compares SHA-256, SHA3-256, and BLAKE2s-256 under a controlled single-node benchmark using identical simulated digital transactions. Transactions were serialized as canonical UTF-8 JSON and evaluated in batches of 50,000, 100,000, and 250,000 records. Each condition used five warm-up runs and 30 measured paired repetitions, producing 270 measured runs. Execution time, processing rate, descriptive statistics, 95% bootstrap confidence intervals, Friedman tests, and Holm-adjusted Wilcoxon signed-rank comparisons were analyzed. SHA-256 consistently produced the lowest mean execution time: 60.30 ms, 119.98 ms, and 290.88 ms for the three batch sizes, respectively. BLAKE2s required 94.42–441.39 ms and SHA3-256 required 97.97–470.14 ms. Differences among algorithms were significant at every batch size (Friedman p < 0.001; Kendall’s W = 0.903–0.968). These results indicate that SHA-256 was the most computationally efficient option in the tested Python/Windows AMD64 environment. The findings are implementation-specific and should not be interpreted as a universal security ranking of the algorithms.
Pendampingan Pemanfaatan Artificial Intelligence untuk Promosi Produk UMKM bagi Ibu-Ibu PKK Desa Welahan Wetan Yuni Dwi Anggraeni; Fajar Nur Wibowo; Amelia Zahrotun Khasanah; Novel Dwi Fitrimianto; Didik Aminudin; Radista Anggraeny; Nurrahma Azizah; Khaibar Aziz; Bagas Egi Wijaya; Marsyanda Safira Fildzah; Fahmi Hasnul Hidayat
ARDHI : Jurnal Pengabdian Dalam Negri Vol. 4 No. 4 (2026): Agustus: ARDHI : Jurnal Pengabdian Dalam Negri
Publisher : Asosiasi Riset Pendidikan Agama dan Filsafat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ardhi.v4i4.2212

Abstract

Digital marketing creates opportunities for micro, small, and medium enterprises (MSMEs) to broaden promotional reach, yet the use of emerging technologies is still constrained by differences in digital literacy and practical skills. This community service activity aimed to assist women members of the PKK organization in Welahan Wetan Village in understanding and practicing the use of Artificial Intelligence (AI) to support MSME product promotion. The activity was conducted on 27 July 2026 as part of the Universitas Al-Irsyad Cilacap community service program in Ampian Hamlet, Welahan Wetan Village, Adipala District, Cilacap Regency. A participatory approach was applied through needs identification, material delivery, demonstrations, hands-on practice, discussion, and descriptive evaluation. The training covered the use of AI to draft social-media captions, generate marketing-content ideas, support promotional design, and improve product-photo presentation. The activity provided participants with practical experience in using AI as a digital-marketing support tool and encouraged active discussion. Nevertheless, differences in participants’ digital skills and limited device availability remained practical constraints, indicating the need for continued assistance. Practice-oriented mentoring can therefore serve as a relevant introductory strategy for community-level adoption of AI-assisted MSME promotion.