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Setyo Eko Atmojo
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LPPM Universitas PGRI Yogyakarta Jl. PGRI I Sonosewu No. 117 Daerah Istimewa Yogyakarta 55182 Indonesia
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Applied Science and Technology Research Journal
Published by Universitas PGRI Yogyakarta
ISSN : ""     EISSN : 29636698     DOI : https://doi.org/10.31316/astro.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Applied Science and Technology Research Journal specifically focuses on problems in the development of Research in science and technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 92 Documents
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SEO-Based Blog Content Pipeline Automation: Integrating Web Scraping and Generative AI for Digital Marketing Efficiency Aris Wahyu Murdiyanto; David Sulistiyantoro; Mukasi Wahyu Kurniawati
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 5 No. 1 (2026): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.9454

Abstract

The consistent production of Search Engine Optimization (SEO) content remains a crucial challenge in digital marketing due to the inherent inefficiencies of manual workflows. This study aims to design, develop, and evaluate the technical feasibility of an end-to-end hybrid content automation pipeline architecture. The proposed system integrates deterministic web scraping (Selenium and BeautifulSoup) for data acquisition, Generative AI (OpenAI GPT) for text synthesis and On-Page SEO optimization, the Replicate API for visual asset generation, and the WordPress REST API for autonomous publication. Employing a Proof of Concept (PoC) method at Technology Readiness Level (TRL) 3, the system was tested across two scenarios representing varying Document Object Model (DOM) structural complexities. Empirical results demonstrate that on websites with standard HTML structures, the system successfully operated autonomously, improving computational time efficiency by 98.8% (reducing the production cycle from an estimated 195 minutes to 2.25 minutes per article). The generated content proved to optimally meet On-Page SEO indicators. However, objective evaluation also revealed technical vulnerabilities in dynamic websites utilizing Client-Side Rendering (CSR), where static scraper scripts failed to extract the text payload. This study concludes that integrating generative AI into the production pipeline offers massive SEO scalability, yet it necessitates a more adaptive data extraction mechanism to achieve universal system reliability.
Validating Motivation, Intention, and Behavior of Muslim Tourists from East Java: A Confirmatory Factor Analysis Approach Endah Setyowati; Ellyvia Abiani; Almira Ivah Edina
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 5 No. 1 (2026): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.9503

Abstract

This study aims to validate the constructs of travel motivation, travel behavior, and travel intention among Muslim tourists from East Java in the context of traveling to Muslim-friendly tourist destinations in Indonesia. The study used a quantitative approach with primary data obtained through questionnaires from 97 respondents who had traveled to several Muslim-friendly destinations in Indonesia. Data analysis was conducted using Confirmatory Factor Analysis (CFA) to test the validity and reliability of the constructs through evaluating convergent validity, discriminant validity, and indicator reliability. The results showed that all constructs met the recommended validity and reliability criteria. The findings also indicate that tourist motivation and behavior play an important role in shaping travel intentions to halal destinations. The main motivations of tourists include the desire for self-development, seeking tranquility, and enjoying natural beauty, while travel behavior is influenced by perceived ease of travel, social norms, and positive attitudes towards halal tourism, which is in line with the Theory of Planned Behavior framework. Overall, religious motivation and halal tourism experiences play an important role in strengthening the intention of Muslim tourists from East Java to visit and recommend Muslim-friendly destinations in Indonesia.

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