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WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Published by Politeknik Wahdah Islamiyah Makassar
ISSN : -     EISSN : 31232752     DOI : -
Core Subject :
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan is published by the Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar. The journal serves as an academic platform for researchers, lecturers, students, and practitioners in the field of computer and network technology to publish research findings, conceptual studies, and applied technology research. WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan focuses on the development and application of computer engineering, networking systems, cybersecurity, Internet of Things (IoT), embedded systems, cloud computing, artificial intelligence (AI), big data analytics, and digital technologies that enhance innovation and operational efficiency across industries. The journal aims to foster academic and professional collaboration, strengthen applied research competencies, and contribute to the scientific advancement of technology that addresses the needs of society and modern industry.
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Articles 12 Documents
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MAC Address Randomisation and Its Implications for Service Management in Multi-Access Point Community Networks: Evolusi Sistem Terdistribusi: Perkembangan Arsitektur, Teknologi, dan Tantangan Komputasi Modern Ayu Angreini; Syahril Syam; Irhamullah Irhamullah; Iskandar Kato; Jumriati Jumriati; Andi Yusril Cibu
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 2 No. 1 (2026): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Abstract

Community networks built on centralised hotspot control commonly rely on the MAC address as a device marker to sustain authentication continuity. That assumption of address stability is now challenged by MAC address randomisation, a privacy feature enabled by default in mobile operating systems. This study measures the level of MAC address randomisation observed in authenticated sessions, analyses its persistence characteristics, and evaluates the implications for the choice of identification basis in service management architecture. A descriptive quantitative design was applied to ex post facto operational data from a small paid community network serving 31 service identities through approximately 30 access points. A total of 46 service activation records covering 26 July to 22 August 2026 were extracted from a configuration export of the controlling device. Randomisation status was classified using the locally administered bit test. Results show that 80.4 per cent of MAC addresses were randomised, with a 95 per cent confidence interval of 69.0 to 91.9 per cent, and the proportion remained stable across observation periods. Five addresses recurred, four of them randomised yet unchanged for three to eleven days, indicating that randomisation persists per network. This characteristic causes device-based continuity to function within the same network name but fail across different network names, whereas speed class and validity policies remain consistent because they are bound to the service identity. These findings provide empirical support for placing service identity at the centre of network service management.
Pengaruh Pemanfaatan Generative AI terhadap Efektivitas Pembuatan Konten Digital pada UMKM: The Impact of Generative AI Utilization on the Effectiveness of Digital Content Creation for MSMEs Irhamullah Irhamullah; Ayu Angreini
WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan Vol. 2 No. 1 (2026): WITECH: Jurnal Teknologi Rekayasa Komputer dan Jaringan
Publisher : Program Studi Teknologi Rekayasa Komputer dan Jaringan, Politeknik Wahdah Islamiyah Makassar

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Abstract

The use of Generative Artificial Intelligence (GenAI) is increasingly developing in Micro, Small, and Medium Enterprises (MSMEs), including digital content creation activities. This technology can assist business owners in generating ideas, text, visual materials, and other forms of content. This study aims to analyze the effect of Generative AI utilization on the effectiveness of digital content creation among MSMEs. The study employed a quantitative approach with an explanatory design. Data were collected through a five-point Likert-scale questionnaire from 110 MSME actors who used Generative AI to support digital content creation. The instrument consisted of 24 items, with 12 items measuring Generative AI Utilization (X) and 12 items measuring Digital Content Creation Effectiveness (Y). Data were analyzed using validity, reliability, normality, heteroscedasticity, simple linear regression, t-test, and coefficient of determination tests. The results show that all items were valid and reliable. Generative AI utilization had a positive and significant effect on digital content creation effectiveness, with a regression coefficient of 0.559 and a t-value of 7.957 (p < 0.001). The R² value of 0.370 indicates that 37.0% of the variation in digital content creation effectiveness was explained by Generative AI utilization. Thus, better utilization of Generative AI is associated with greater effectiveness in digital content creation among MSMEs. Keywords: Generative AI; MSMEs; digital content; effectiveness; Task-Technology Fit

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