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All Journal YASIN: Jurnal Pendidikan dan Sosial Budaya MASALIQ: Jurnal Pendidikan dan Sains
Dimas Pamilih Epin Andrian
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Analisis Dampak Penggunaan Konten AI-Generated terhadap Kinerja Pemasaran Online UMKM Mahasiswa Solo dalam Mata Kuliah Digital Marketing Slamet Kurniawan Fahrurozi; Dimas Pamilih Epin Andrian; Annisa Noor Rachmawati
YASIN Vol 5 No 5 (2025): YASIN: Jurnal Pendidikan dan Sosial Budaya
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v5i5.7587

Abstract

The limited research on the use of AI-generated content (AIGC) in digital marketing education within vocational settings forms the background of this study, despite AIGC’s significant potential to transform how students design promotional strategies and carry out online selling activities. This study aims to analyze how students perceive the use of AIGC and its impact on online sales performance in the context of a Digital Marketing course. A qualitative approach with a case study design was employed, involving eight participants selected through purposive sampling. Data were collected via semi-structured interviews and analyzed using thematic analysis. The findings reveal that AIGC supports content production efficiency, enhances audience engagement, and expands students’ digital reach. However, its impact on sales performance remains inconsistent due to external factors such as market segmentation and distribution strategies. These findings align with social-cognitive learning theory, which emphasizes the role of direct experience in the learning process. The study concludes that AIGC plays a crucial role in supporting project-based learning in vocational education, particularly in the context of digital entrepreneurship. The implications include a theoretical contribution to the literature on AI integration in vocational education, as well as practical recommendations for educators to adapt curricula that are responsive to technological advancements. This research also opens avenues for further studies on the long-term effectiveness of AIGC in enhancing students’ digital business performance.
Dampak Teknologi Informasi Berbasis Artificial Intelligence terhadap Kepuasan dan Loyalitas Wisatawan: Tinjauan Systematic Literature Review Slamet Kurniawan Fahrurozi; Dimas Pamilih Epin Andrian
MASALIQ Vol 5 No 2 (2025): MASALIQ: Jurnal Pendidikan dan Sains
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i2.5040

Abstract

This study aims to analyze the impact of Artificial Intelligence (AI)-based information technology on tourist satisfaction and loyalty through a systematic literature review method. Following the PRISMA guidelines, researchers conducted a literature search in the ScienceDirect and SpringerLink databases using keywords such as "artificial intelligence," "tourist satisfaction," and "tourist loyalty." Of the 40 articles identified, 12 articles met the inclusion criteria and were analyzed thematically. The results showed that AI significantly improves tourist satisfaction through service personalization, operational efficiency, and better interactions. Applications such as recommendation systems, chatbots, and predictive analytics have proven effective in improving the tourist experience. However, the implementation of AI also faces challenges such as data privacy, algorithmic bias, and low technology adoption. The implications of this study are the importance of optimizing the use of AI by ensuring data security, reducing bias, and improving education for service providers and tourists. This study provides recommendations for further research, including exploring the impact of AI on specific tourist segments and investigating the long-term impact on loyalty.
From Development to Implementation: Usability and Performance Evaluation of an Internship System Dimas Pamilih Epin Andrian; Muhammad Hassan Massaty
MASALIQ Vol 5 No 2 (2025): MASALIQ: Jurnal Pendidikan dan Sains
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i2.5078

Abstract

This study aims to develop a web-based internship management system to enhance efficiency, transparency, and usability for students and university administrators. Traditional internship management methods often suffer from inefficiencies and limited accessibility, necessitating a more structured digital approach. By integrating User-Centered Design (UCD) and Feature-Driven Development (FDD), an Agile methodology, this research focuses on improving system usability and user experience. The method involved data collection through interviews with students and university administrators to identify key requirements. The platform was developed iteratively, incorporating continuous feedback to ensure alignment with user needs. Feature prioritization and incremental implementation allowed for a structured approach to system refinement, resulting in a more effective and adaptable solution. The results indicate that the developed platform successfully addresses key challenges in internship tracking, document management, and communication. Usability evaluations using User Experience Quality (UEQ) metrics show high satisfaction in accuracy, efficiency, and clarity, while engagement remains an area for further improvement. This research contributes to digital transformation in internship management, with future potential for AI-driven automation in feedback analysis and internship matching.
Co-Authors Annisa Noor Rachmawati Muhammad Hassan Massaty, Muhammad Hassan Slamet Kurniawan Fahrurozi