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Case Study
- Accessibility, language, discipline, and indexing status of university journals that use Open Journal Systems in Indonesia: a case study
- Maria Lamury, John Willinsky
- Received January 16, 2025 Accepted February 18, 2025 Published online April 30, 2025
- DOI: https://doi.org/10.6087/kcse.367 [Epub ahead of print]
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Abstract
PDF - This case study examines the characteristics of university journals in Indonesia on the country’s most used platform, Open Journal Systems (OJS), following a decade of rapid growth in scholarly publishing. A sample of 558 journals, published by 93 Indonesian universities, was analyzed with a focus on four main aspects: accessibility, language, academic discipline, and indexing status. Based on OJS Beacon data, 96.7% of the journals offer free public access without requiring a login. Among the 539 open access journals in the sample, 51.8% were published in Indonesian, 28.5% in English, and 16.3% were bilingual. The most common academic disciplines include commerce, management, tourism and service, and studies of human society. National indexing services reveal that 78.9% are listed in Garuda, 25.2% possess Arjuna accreditation, and only 5.4% are ranked as Science and Technology Index (SINTA) 1 or 2. While 95.7% are indexed in Google Scholar, only one journal is found in Scopus and none in Web of Science. These findings highlight the influence of government policies on open access publishing and underscore ongoing efforts to balance national language usage with global academic communication. This comprehensive analysis provides insights into the evolving landscape of scholarly communication in Indonesia and informs future policy developments and international collaboration.
Original Article
- Improving reviewer selection in Open Journal Systems using a Scopus search application programming interface in the Journal of Information System Engineering and Business Intelligence
- Indra Kharisma Raharjana, Badrus Zaman, Oktavia Intifada Husna, Rizfi Ferdiansyah, Aretha Seno Putri, Fariska Dwi Kartika Sari
- Sci Ed. 2025;12(1):20-27. Published online February 6, 2025
- DOI: https://doi.org/10.6087/kcse.356
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Abstract
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- Purpose
The peer review process is essential for maintaining the quality of scientific publications. However, identifying reviewers who possess the necessary expertise can be challenging. In Open Journal Systems (OJS), which is commonly utilized by journals, the most effective method of inviting reviewers is when they are already registered in the system. This study seeks to improve the efficiency and accuracy of the reviewer selection process to ensure high-quality peer reviews.
Methods
We introduced a process innovation to analyze users within OJS and obtain recommendations for potential reviewers possessing the relevant expertise for the manuscript under review. This study collected user data from OJS as potential reviewers and utilized information from the Scopus search application programming interface (API). We extracted authors’ data from the Scopus API to obtain their Scopus IDs, which were then used to scrape publication data of potential reviewers. The system matched the previous works of reviewers with the title and abstract of the manuscript using term frequency-inverse document frequency and cosine similarity algorithms.
Results
The system was evaluated by comparing its recommendations with the assessments made by the editorial team. This evaluation yielded precision, mean average precision, and mean reciprocal rank values of 0.47, 0.77, and 0.87, respectively.
Conclusion
The results clearly demonstrate the system’s ability to provide relevant reviewer recommendations. This system offers significant benefits by assisting editors in identifying suitable reviewer candidates from the existing user database in OJS, particularly for the evaluation of manuscripts.
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