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All Journal SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi JIKUM: Jurnal Ilmu Komputer
Arya Bagas Saika
Universitas Malikussaleh, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Analisis Penggunaan Hash Function dan Digital Signature pada Sistem Keamanan Informasi Arya Bagas Saika; Muhammad Fauzul; Alif Akbar Rafsanjani; Rizky Hajriani Nasution; Marsha Ramadhani
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.183

Abstract

Information security is a critical issue in the development of modern information systems due to increasing threats such as data manipulation, forgery, and unauthorized access. This study aims to analyze the use of hash functions and digital signatures as cryptographic mechanisms to ensure data integrity, authentication, and non-repudiation in information security systems. The research method used is a literature review by analyzing scientific journals related to the implementation of hash functions and digital signature algorithms in various information systems. The results show that hash functions play an important role in maintaining data integrity, while digital signatures provide assurance of authenticity and accountability of data transmission. The combination of hash functions and digital signatures is proven to significantly enhance the security of information systems and reduce the risk of data tampering and security breaches.
ANALISIS TINGKAT PENERIMAAN TEKNOLOGI ARTIFICIAL INTELLIGENCE PADA MAHASISWA DAN MASYARAKAT Arya Bagas Saika; Taufiq Taufiq
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 3 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i3.363

Abstract

Artificial Intelligence (AI) is now widely used in academic and daily activities, yet its acceptance may differ across user groups. This study measures the level of AI acceptance among university students and the general public, examines the effect of perceived ease of use and perceived usefulness on behavioral intention, and tests differences between the two groups. A quantitative survey based on the Technology Acceptance Model (TAM) was conducted with 49 respondents (30 students and 19 members of the public). Data were analysed using descriptive statistics, path analysis, and the Mann–Whitney test. AI acceptance was high (M = 3,60). Perceived ease of use significantly affected perceived usefulness (β = 0,830) and behavioral intention (β = 0,448), whereas the effect of perceived usefulness on behavioral intention was not significant (β = 0,280). Behavioral intention positively affected daily AI use (β = 0,411) but explained only a small share of its variance (R² = 0,169). No significant differences were found between students and the public on any variable. The findings suggest that ease of use is the key to AI adoption, so simple interfaces and user training should be prioritised.
Co-Authors Alif Akbar Rafsanjani Marsha Ramadhani Muhammad Fauzul Rizky Hajriani Nasution Taufiq Taufiq