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All Journal Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Kedokteran Hewan
Indi Dharmayanti
Balai Besar Penelitian Veteriner, Bogor
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Veterinary

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The Evolution of Zoonosis-Related Studies in Indonesia, 1977-2023: Bibliometric Analysis Concepts Nurjanah, Diana; Dharmayanti, Indi; Fadilah, Fadilah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 01 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss01/465

Abstract

Various zoonotic diseases have been reported as epidemics throughout the world, including in Indonesia. Various studies have been conducted related to gaps in knowledge, especially on disease distribution, etiology, pathogens, hosts, vector biology, dynamics, cycle of transmission, predisposing factors, and risk factors. To find out the dynamics of zoonotic disease study and research in Indonesia, a study was conducted to report a literature analysis that focused on bibliometric analysis of the Scopus database and VOSviewer software to create a visualization map that identified how the evolution of zoonotic diseases studies from 1977-2023 in Indonesia. In co-occurrence analysis, two units of analysis are used, namely "author keywords" and "index keywords" in VOSviewer. It showed that studies related to zoonoses in Indonesia tend to increase every year with a significant increase in 2020 and 2022. Document types are dominated by articles (72%) with subjects or research areas related to “medicine” (29%). From the "author keywords" analysis unit, the words "zoonosis" and "Indonesia" were the words that appeared the most. Meanwhile, from “index keywords” six clusters were found with the word "human" "animals", and "zoonosis" being the word that appears the most in the analysis of the studies conducted.
IDENTIFIKASI MOLEKULER VIRUS SUBTIPE H3 DAN H10 PADA UNGGAS Dharmayanti, Indi; Indriani, Risa
Jurnal Kedokteran Hewan Vol 8, No 1 (2014): March
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v8i1.1249

Abstract

Penelitian ini bertujuan mengidentifikasi molekuler virus-virus influenza yang tidak dapat diidentifikasi dengan primer H5N1 sehingga perlu dilakukan identifikasi lanjutan dengan primer virus influenza lainnya untuk mengetahui jenis subtipe virus influenza yang bersirkulasi di lapang. Sampel yang digunakan adalah lima sampel cairan alantois (Kode B1-B5) yang diduga mengandung virus influenza selain virus H5N1. Metode yang digunakan pada penelitian ini adalah dengan reverse transcription polymerase chain reaction (RT-PCR) menggunakan beberapa set primer influenza dan konfirmasi dilakukan dengan pengurutan deoxyribonucleic acid (DNA). Dari hasil analisis RT-PCR dan pengurutan DNA menunjukkan bahwa sampel dengan kode B1 dan B2 menunjukkan homologi tertinggi dengan data virus yang terdaftar di GenBank (NCBI) yaitu dengan virus influenza subtipe H3 sedangkan sampel dengan kode B4 mempunyai homologi tertinggi dengan virus influenza subtipe H10. Dari identifikasi dan karakterisasi tersebut kemungkinan bahwa virus sampel kode B1 (A/Chicken/Buleleng/BBVD488-9/2009) dan (B2) A/Duck/Tabanan/BBVD573-10/2009 adalah virus (AI) subtipe H3 sedangkan sampel kode B4 (A/Chicken/Klungkung/ BBVD006-1/2010) adalah virus AI subtipe H10.
Co-Authors Fadilah Fadilah, Fadilah Nurjanah, Diana RISA INDRIANI