Pemetaan Lanskap Ilmiah Penelitian Obat Herbal Indonesia (1983–2026): Analisis Bibliometrik: Mapping the Scientific Landscape of Indonesian Herbal Medicines Research (1983–2026): A Bibliometric Analysis

Danang Prasetyaning Amukti; Ria Indah Pratami

doi:10.35760/jff.2026.v4i1.193

Penulis

Danang Prasetyaning Amukti Alma Ata University Penulis
Ria Indah Pratami Penulis

DOI:

https://doi.org/10.35760/jff.2026.v4i1.193

Kata Kunci:

Indonesian herbal medicine, traditional medicine, phytotherapy, ethnopharmacology, medicinal plants

Abstrak

Herbal medicine research in Indonesia has experienced rapid development along with the increasing interest in natural-based treatments and the utilization of biodiversity. This study aims to map the scientific landscape of herbal medicine research in Indonesia during the period 1983–2026 using a bibliometric approach. Data were obtained from the Scopus database with keywords related to herbal medicine, traditional medicine, phytotherapy, and ethnopharmacology combined with the Indonesian context. Analysis was conducted using VOSviewer and Biblioshiny software to evaluate publication trends, journal sources, author productivity, institutional affiliations, citations, and keyword mapping. The results show 659 publications from 333 sources, with an annual growth rate of 6.5%. The publication trend has increased significantly since 2016 and peaked in 2025 with 92 articles. Keyword analysis shows the dominance of topics such as herbal medicine, plant extract, phytochemistry, and antioxidant activity, indicating that the research focus is still at the pre-clinical stage. Publication sources are dominated by proceedings such as the IOP Conference Series (35 articles) and journals such as Biodiversitas (32 articles). The most productive institutions were Airlangga University (95 publications) and Gadjah Mada University (82 publications), with an average of 4.9 authors per article and 17.91% international collaboration. The highest-impact articles received 313 citations, demonstrating the importance of publication in reputable journals. In conclusion, herbal medicine research in Indonesia has shown significant growth but is still dominated by exploratory research. Improvements in publication quality, international collaboration, and strengthening translational research are needed to support the development of evidence-based herbal medicines and enhance Indonesia's contribution globally.

Unduhan

Data unduhan tidak tersedia.

Referensi

/bioconf/202414801003.

[12] Prasetyaning A, Muhammad I, Surono S, Adikusuma W, El K, Gustinanda R, et al. International developments in atherosclerosis disease research using precision medicine (1994-2024): A bibliometric analysis. Scr Med (Brno) 2025;56:395–404. https://doi.org/10.5937/scriptamed56-53992.

[13] Gustinanda R, Irham LM, Supadmi W, Danang 1, Amukti P, Adikusuma W, et al. CURRENT TOPIC Trend of Non-Hodgkin Lymphoma Research Using a Genomics-Based Approach: A Bibliometric Analysis From 1985-2024. Scr Med 2025;56:1217–44. https://doi.org/10.5937/scriptamed56-58095.

[14] Amukti D, Estiningsih D, Herlina T, Kusumawardani N, Puspitasari A, Amalia L, et al. Tren Global Penelitian Toll-like receptor 4 pada Penyakit Kardiovaskular: Analisis Bibliometrik 2017-2025. INPHARNMED Journal (Indonesian Pharmacy and Natural Medicine Journal) 2025;9:1. https://doi.org/10.21927/inpharnmed.v9i1.5989.

[15] Fan F, Xu P. Global biomarkers trends in acute kidney injury: a bibliometric analysis. Ren Fail 2023;45. https://doi.org/10.1080/0886022X.2023.2278300.

[16] Kumar S, Singh B, Singh R. Catharanthus roseus (L.) G. Don: A review of its ethnobotany, phytochemistry, ethnopharmacology and toxicities. J Ethnopharmacol 2022;284:114647. https://doi.org/10.1016/j.jep.2021.114647.

[17] Tahmasebi A, Jamali B, Atabaki V, Sarker SD, Nahar L, Min HJ, et al. A comprehensive review of the botany, ethnopharmacology, phytochemistry, and pharmacological activities of two Iranian Rydingia species (Lamiaceae). Fitoterapia 2024;176:106026. https://doi.org/10.1016/j.fitote.2024.106026.

[18] Herzog DP, Beckmann H, Lieb K, Ryu S, Müller MB. Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry. Front Psychiatry 2018;9. https://doi.org/10.3389/fpsyt.2018.00512.

[19] Salehi-Marzijarani M, Ayatollahi S-M-T, Pourahmad S, Zare M, Peymani P. Network clustering and bibliometrics of pharmacology and pharmacy research outputs published by Iranian authors. J Res Pharm Pract 2019;8:13. https://doi.org/10.4103/jrpp.JRPP_18_106.

[20] Severino F, Scotti V, Zhang T, Zheng Y, De Silvestri A. A bibliometric analysis of international publications and citation trends of articles in mental health produced by Chinese institutions in mainland China (1990–2019). Global Mental Health 2021;8:e37. https://doi.org/10.1017/gmh.2021.35.