Abstracting and Indexing

Abstracting and Indexing

Insan Cendekia: Jurnal Pendidikan dan Kebudayaan is highly committed to increasing the global visibility, accessibility, and citation impact of published research through high-quality abstracting and indexing services.

To ensure that all published articles are permanently discoverable and widely disseminated, the journal is integrated with and actively working toward indexing in the following major databases:

Primary Indexing & Discovery

  • Google Scholar: Provides global indexing for academic citations, tracking research impact, and maximizing the discoverability of published articles.

  • Garuda (Garba Rujukan Digital): The national digital reference portal managed by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia for verified scholarly publications.

  • SINTA (Science and Technology Index): Aiming for national accreditation by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (Registration in Progress).

Metadata, DOIs, & Archiving

  • Crossref: Insan Cendekia is a member of Crossref. Every officially published article is assigned a unique DOI (Digital Object Identifier) prefix to guarantee permanent archiving, stable linking, and robust cross-citation tracking.

  • Dimensions: A modern, global research insights platform and comprehensive citation database to enhance article metrics.

  • ROAD (Directory of Open Access Scholarly Resources): Maintained by the ISSN International Centre to provide explicit international identification for quality open-access academic resources.

  • BASE (Bielefeld Academic Search Engine): One of the world's most voluminous and reliable search engines for open-access academic web resources.

Information for Indexing Services: Insan Cendekia: Jurnal Pendidikan dan Kebudayaan embeds comprehensive metadata in all published articles, including OAI-PMH endpoints, to ensure seamless harvesting by external repositories, library catalogs, and international indexing databases.