Indexing and Abstracting

To ensure maximum visibility, global discoverability, and long-term impact of the published community service articles, Jurnal Pengabdian Kepada Masyarakat Unisa Kuningan is systematically registered, abstracted, and indexed in various national and international digital databases.

Core Indexing & Metadata Providers (Active)

Currently, all articles published in Jurnal Pengabdian Kepada Masyarakat Unisa Kuningan are officially processed, assigned permanent metadata, and indexed by the following organizations:

  • Crossref (DOI System): Every article is assigned a unique and functional Digital Object Identifier (DOI) prefix 10.70476/jpkmunisa to guarantee permanent and untamperable digital linkage.

  • Google Scholar: Provides comprehensive citation tracking, public indexing, and metrics for all articles and authors.

  • ISSN Portal (BRIN): Officially registered and verified under electronic international standard serial number e-ISSN: 3025-423X.

  • ROAD (Directory of Open Access Scholarly Resources): An international database powered by the ISSN International Centre supporting open-access tracking.

Target Indexing Databases (In Progress / Future Target)

The editorial board is actively optimizing the journal's metadata, consistency, and structural compliance to meet the strict evaluation criteria for inclusion in the following national and international indexing databases:

  • SINTA (Science and Technology Index): Target for national accreditation by the Ministry of Higher Education, Science, and Technology of the Republic of Indonesia (after fulfilling the requirement of publishing 2 consecutive years/4 issues).

  • GARUDA (Garba Rujukan Digital): Indonesia's national scholarly publication portal managed by the government.

  • Dimensions: A modern, linked-research data platform for global citations.

  • DOAJ (Directory of Open Access Journals): The gold standard index for high-quality, peer-reviewed open access journals globally.

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