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All Journal Dharma Bakti Applied Science and Technology Research Journal
Mukasi Wahyu Kurniawati
Universitas Akprind Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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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.
Pelatihan Pemanfaatan Limbah Organik Di Dusun Klodangan Mukasi Wahyu Kurniawati; Ani Purwanti; Angge Dhevi Warisaura
DHARMA BAKTI Dharma Bakti-Vol 8 No 1-April 2025
Publisher : DP2M UNIVERSITAS AKPRIND INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/dharma.v8i1.5193

Abstract

The issue of organic waste management, particularly cattle manure, in Klodangan Hamlet prompted the implementation of a training program aimed at enhancing the community’s capacity to convert waste into useful compost. Although the area has abundant organic waste resources, they remain underutilized due to a lack of technical knowledge and practical skills among residents. In response, a team of lecturers from the Chemical Engineering Department of IST AKPRIND Yogyakarta, in collaboration with student interns, organized a training session to transfer relevant knowledge and hands-on skills in composting techniques. The activity involved active participation from local residents and was conducted through a combination of lectures and direct practice. The community service activity in Klodangan, Sendangtirto, Berbah, Sleman, on December 22, 2023, aimed to provide training on organic waste management, particularly the conversion of cow manure into compost fertilizer. The results indicated a significant improvement in participants' understanding and interest in managing organic waste for productive use. Beyond its environmental benefits, the program also introduced new economic opportunities for the community and strengthened the collaborative relationship between higher education institutions and local society. Replication of similar programs is recommended to extend the positive impact to other regions
Co-Authors Angge Dhevi Warisaura Ani Purwanti Aris Wahyu Murdiyanto David Sulistiyantoro