Diversity of Medicinal Plants in Nubamado Village, Lembata District to Cure Livestock Diseases

Abstract

People in Indonesia who still use plants to cure livestock diseases are the people of Nubamado village. Knowledge about traditional medicines is very little known and is usually only passed on from generation to generation. The purpose of the study was to describe the types of plants or record the types of local medicinal herbs used by the community in curing animal diseases. The method used in this research is descriptive survey method, namely direct observation method and Participatory Rural Appraisal method, which is an assessment process oriented towards the involvement and active role of the community in research. The sampling technique on medicinal plants was carried out by means of researchers directly documenting it, while the informant technique was carried out by means of, Determination of the initial sample was carried out using Purposive Sampling. After the initial observation, the next informant selection was carried out using the Snowball Sampling method, which is an informant selection technique based on key informant recommendations. Based on the results of the study, there are 25 types of plants that are used by the people of Nubamado village as medicine, the part of the plant that is most often used by the community is the leaves. Family Zingiberaceae, Poaceae, Arecaceae, is the most widely used family as medicinal plants in Nubamado village, the second largest family is Solanaceae, Piperaceae and Fabaceae. The least family is Malvaceae, Euphorbiaceae, Piperaceae, Mimosaceae, Meliaceae, Rubiaceae, Musaceae, Alliaceae, Rutaceae, Myrtaceae, Caricaceae.

Authors and Affiliations

Anyela Merici Beto Odjan, Agung Wijaya Subiantoro

Keywords

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  • EP ID EP752453
  • DOI 10.47191/ijmra/v7-i11-39
  • Views 6
  • Downloads 0

How To Cite

Anyela Merici Beto Odjan, Agung Wijaya Subiantoro (2024). Diversity of Medicinal Plants in Nubamado Village, Lembata District to Cure Livestock Diseases. International Journal of Multidisciplinary Research and Analysis, 7(11), -. https://europub.co.uk/articles/-A-752453