STRATEGI MANAJEMEN KONTEN BERBASIS KEYWORD UNTUK OPTIMALISASI SEO PADA MEDIA ONLINE: STUDI KASUS PADA PORTAL BERITA JAWA POS

Rayhan Putra Prihambudi, . (2026) STRATEGI MANAJEMEN KONTEN BERBASIS KEYWORD UNTUK OPTIMALISASI SEO PADA MEDIA ONLINE: STUDI KASUS PADA PORTAL BERITA JAWA POS. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Changes in Google's algorithms and the introduction of the AI Overview feature have transformed information distribution in online media, requiring adjustments to Search Engine Optimization (SEO) strategies, particularly in keyword-based content management. This study aims to analyze the implementation of long-tail keyword strategies in optimizing evergreen content and to explain the importance of keyword-based content management for JawaPos.com in responding to Google’s algorithm changes and the AI Overview feature. This research employed a qualitative approach using a case study method. Data were collected through semi-structured interviews, observation, and documentation, and analyzed using Creswell’s data analysis model. The findings reveal that long-tail keywords are implemented through an integrated content management process encompassing planning, production, publication, distribution, and evaluation based on search intent. This strategy supports the development of evergreen content, sustains organic traffic, and enhances article visibility. The study also found that the role of SEO has evolved from a technical optimization tool into an organizational strategy focused on information quality, user needs, topical authority, and adaptation to AI-driven search technologies.

Item Type: Thesis (Skripsi)
Additional Information: No. Panggil: 2210414040 Pembimbing: Vinta Sevilla, S.IIP., M.I.Kom Penguji 1: Gustiana Sabarina, S.Pd., M.I.Kom Penguji 2: Zayyin Abdul Q., S.Pd, M.I.Kom
Uncontrolled Keywords: AI Overview, Evergreen Content, Long-tail Keyword, Content Management, SEO
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Sosial dan Ilmu Politik > Sains Informasi (S1)
Depositing User: RAYHAN PUTRA PRIHAMBUDI
Date Deposited: 07 Sep 2026 01:12
Last Modified: 07 Sep 2026 01:12
URI: http://repository.upnvj.ac.id/id/eprint/52955

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