LIA KUSUMANINGRUM
Department of Environmental Science, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia

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Diversity of the medicinal plant in homegarden of local communities in the coastal area of Prigi Bay, Trenggalek, East Java, Indonesia NIA AGUSTINA; TIMOTHY JEFFREY WALTER HUTAURUK; NUNIK SULISTYANINGRUM; SYARIFUDIN MAHFUDH YUDHANTO; NOR LIZA; LIA KUSUMANINGRUM; SUGIYARTO SUGIYARTO; AHMAD YASA; SURAPON SAENSOUK; DARLINA MD. NAIM; AHMAD DWI SETYAWAN
Biodiversitas Journal of Biological Diversity Vol. 23 No. 12 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d231226

Abstract

Abstract. Agustina N, Hutauruk TJW, Sulistyaningrum N, Yudhanto SM, Liza N, Kusumaningrum L, Sugiyarto, Yasa A, Saensouk S, Naim DMD, Setyawan AD. 2022. Diversity of the medicinal plant in homegarden of local communities in the coastal area of Prigi Bay, Trenggalek, East Java, Indonesia. Biodiversitas 23: 6302-6312. Homegarden is a part of the agroforestry system that is essential in a food security program. It also reflects the social and traditional practices in certain areas that define the composition of plants. One common plant that grows in a homegarden area is herbal medicine. The knowledge about medicinal plants in society is essential to ensure the sustainability of this local wisdom to be passed through the subsequent generations. This research aimed to examine the diversity of medicinal plants planted in homegarden in Tasikmadu, Prigi, and Karanggandu Villages, Watulimo Sub-district, East Java, Indonesia. The research used a field survey of plant inventory and a semi-structured interview to gather ethnobotanical information. A total of 60 respondents were obtained by purposive sampling, with residents with homegardens preferred to be interviewed. The discussion results showed that 32 families of 59 medicinal plant species found in the study areas are consumed for medicinal purposes. Zingiberaceae is referred to as the highest family consumed by the respondents. Leaves and rhizomes are the most commonly utilized part, while decoction is the most popular preparation method. This study revealed that people aged 46-55 have the highest knowledge of medicinal plants. At the same time, women are considered to know more about herbal medicine compared to men.
Agroforestry suitability evaluation using remote sensing in Jatiyoso Sub-district, Karanganyar District, Central Java, Indonesia SNADA INDAH TUK NEGARI; SESILIA RETNO AYU NINGTYAS; ZAHRA HANUN; MUHAMMAD NUR SULTON; LIA KUSUMANINGRUM; MUHAMMAD INDRAWAN; SUGIYARTO SUGIYARTO; SUTOMO SUTOMO; AHMAD DWI SETYAWAN
Biodiversitas Journal of Biological Diversity Vol. 24 No. 12 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d241239

Abstract

Abstract. Negari SIT, Ningtyas SRA, Hanun Z, Sulton MN, Kusumaningrum L, Indrawan M, Sugiyarto, Sutomo, Setyawan AD. 2023. Agroforestry suitability evaluation using remote sensing in Jatiyoso Sub-district, Karanganyar District, Central Java, Indonesia. Biodiversitas 24: 6761-6769. Agroforestry systems are critical for biodiversity conservation, land degradation mitigation, and climate change mitigation. This agroforestry approach reduces forest degradation, boosts food security, and gradually raises farmers' income. This study uses remote sensing and Geographic Information System (GIS) modeling tools to analyze land potential and agroforestry status in Jatiyoso Sub-district, Karanganyar District, Central Java, Indonesia. The data used in the analysis support data for soil fertility index, rainfall, Shuttle Radar Topography Mission (SRTM) satellite image data, and Normalized Difference Vegetation Index (NDVI). Modeling was done by integrating various thematic layers in the GIS domain. Weighting was also carried out in the analysis of land suitability. The mapping results in Jatiyoso Sub-district, Karanganyar District, showed that 18.1% (13.49 km2) had high potential as agroforestry areas, 54.9% (40.95 km2) had medium potential, and 27% (20.18 km2) had low potential. As a result, using remote sensing and GIS to determine suitable land for agroforestry could significantly impact the community, particularly farmers, landowners, and foresters, in the decision-making process for developing agroforestry systems and practices and estimating important productivity indicators. The most promising and appropriate agroforestry plants developed in Jatiyoso Sub-district are medicinal plants, but agricultural commodities like cloves, bananas, and vegetables are also present.