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Asy'ari, Mufidah
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Agriculture, Biological Sciences & Forestry Environmental Science

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HABITAT MIKRO TABAT BARITO (Ficus Deltoidea Jack) DI KELURAHAN JAMBU KECAMATAN TEWEH BARU DAN DESA PENDREH KECAMATAN TEWEH TENGAH KABUPATEN BARITO UTARA PROVINSI KALIMANTAN TENGAH Nisa, Fitriatun; Asy'ari, Mufidah; Fithria, Abdi; Hatta, Gusti Muhammad
EnviroScienteae Vol 20, No 1 (2024): ENVIROSCIENTEAE VOLUME 20 NOMOR 1, FEBRUARI 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v20i1.18848

Abstract

The high diversity of plants in Indonesia provides many benefits for the community, one of which is the use of plants as traditional medicines so that the prospects for rnedicinal plant agro-industry in lndonesia are very large. The exploitation of forests and land for plantation and rnining activities in North Barito District is currently threatening the existence of the tabat barito as one of the plants that live in the forest. The objectives of this study were to identify the microhabitat characteristics of barito tabat in its native habitat. Tabat barito was found to live attached to 2 types of host trees, namely kuyum bakei trees (Elaeocarpus sp. ) and kacuhui trees (Shorea sp.). These two types of host plants have similarities in terms of habitat where they grow and similar trunk characteristics, namely thick, grooved bark, easily cracked and porous and can peel. The microclimatic conditions measured were elevation 29 - 64, ternperature range 32 - 33.1 "C, relative humidity 58 - 67% and light intensity 394-732 lux.
ANALISIS KEGUNAAN TUMBUHAN HERBA DI AREAL REKLAMASI PT ADARO INDONESIA KALIMANTAN SELATAN Rukmawati, Rukmawati; Asy'ari, Mufidah; Rianawati, Fonny
Jurnal Sylva Scienteae Vol 7, No 6 (2024): Jurnal Sylva Scienteae Vol 7 No 6 Edisi Desember 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i6.14393

Abstract

Herbaceous plants are plants whose stems are not hard and woody. Herbs usually have soft stems and can live in wet places where other animals will not interfere with their growth. Herbs grow well under trees and in a variety of soil types and weather conditions. Herbaceous plants can also indicate how healthy the soil is. The purpose of this study is to Inventory understory plant species in the Reclamation Area of PT Adaro Indonesia South Kalimantan and Identify the use of understory plant species, especially herbs in the Reclamation Area of PT Adaro Indonesia South Kalimantan. The method used is using the literature study method. From the results of the study also obtained the type of utilization of the use of lower plants, especially herbs, the largest is for pharmacological use (78.4%), then followed by use as food (14.9%), animal feed (9.5%), ornamental plants / cover crop (9.5%), insecticides (8.1%), fertilizers (5.4%), crafts (2.7%), dyes (2.7%), cosmetics (5.4%), and other purposes (5.4%). Herba biasanya memiliki batang lunak dan dapat hidup di tempat basah di mana hewan lain tidak akan mengganggu pertumbuhannya. Herba tumbuh dengan baik di bawah pohon dan di berbagai jenis tanah dan kondisi cuaca. Tumbuhan herba juga dapat menunjukkan seberapa sehat tanah ditempat itu. Tujuan dari penelitian ini yaitu Menginventarisasi spesies tumbuhan bawah di Areal Reklamasi PT Adaro Indonesia Kalimantan Selatan serta Mengidentifikasi penggunaan spesies tumbuhan bawah terutama herba yang ada di Areal Reklamasi PT Adaro Indonesia Kalimantan Selatan. Metode yang digunakan yaitu menggunakan metode studi pustaka. Dari hasil penelitian juga didapatkan Jenis pemanfaatan penggunaan tumbuhan bawah terutama herba terbesar adalah untuk penggunaan farmakologis (78.4%), kemudian disusul untuk penggunaan sebagai pangan (14.9%), pakan ternak (9.5%), tanaman hias/cover crop (9.5%), insektisida (8.1%), pupuk (5.4%), kerajinan (2.7%), pewarna (2.7%), kosmetik (5.4%), dan keperluan lain (5.4%).
IDENTIFIKASI KERUSAKAN VEGETASI HUTAN MANGROVE DI DESA SUNGAI BAKAU KALIMANTAN SELATAN Susilawati, Susilawati; Asy'ari, Mufidah; Pujawati, Eny Dwi; Salsabila, Shania
Jurnal Sylva Scienteae Vol 7, No 5 (2024): Jurnal Sylva Scienteae Vol 7 No 5 Edisi Oktober 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i5.13926

Abstract

The purpose of this study was to identify the type of damage to mangrove forest vegetation in Sungai Bakau Village. The object of this research is Mangrove forest vegetation in Sungai Bakau Village. Primary data is obtained through field observations by observing each individual mangrove forest vegetation at the pole and tree level in the observation plot. The primary data is then processed and described each type of damage. The results obtained from research on the identification of mangrove forest vegetation health are the types of damage found in this study in the form of fungal fruiting bodies, open wounds, gumosis, broken stems / roots, brooms on roots, stems or branches, loss of shoots or dead shoots, broken or dead, damage to leaves or shoots and discoloration of leaves.
IDENTIFIKASI PERUBAHAN KERAPATAN VEGETASI DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS UNIVERSITAS LAMBUNG MANGKURAT Sitinjak, Petrus; Asy'ari, Mufidah; Udiansyah, Udiansyah
Jurnal Sylva Scienteae Vol 7, No 5 (2024): Jurnal Sylva Scienteae Vol 7 No 5 Edisi Oktober 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i5.13901

Abstract

The Forest Area with a Special Purpose of Lambung Mangkurat University has an area of approximately 2000 Ha, divided into 2 areas, namely Bukit Babaris and Bukit Waringin. Identification of changes in land cover and vegetation density has never been carried out, especially in the Babaris mountain area (1,617 hectares). This study aims to compare the results of the accuracy of the Maximum Likelihood Classification (MLC) method with the Normalized Different Vegetation Index (NDVI) method in identifying vegetation density from 2018 to 2022. The results of the accuracy test for the vegetation density method using the confusion matrix show that the Overall Accuracy value of the MLC method is low lower, namely 92.5%, and the NDVI method 93.75%. It can be concluded that the NDVI method is more sensitive in detecting vegetation than the MLC method. Factors that affect the inaccuracy of the MLC method depend on the accuracy and the number of class class training samples taken. Based on the results of the interpretation of density changes from the two methods, from 2018 to 2022 the area of vegetation classes tends to increase and looks fluctuating. The area of change in vegetation density in the MLC method of the non-vegetation classification class is relatively stable at over 9 ha/year, although the classification class rarely dominates over the year. Changes in the density of non-vegetation class vegetation in the NDVI method tend to decrease significantly in 2020 and 2021. Based on the two most accurate methods obtained by the NDVI method, that there is an increase in vegetation density in the KHDTK ULM area of the Babaris hill.
Co-Authors Abdi Fithria Eny Dwi Pujawati Fonny Rianawati Gusti Muhammad Hatta Nisa, Fitriatun Rukmawati, Rukmawati Salsabila, Shania Sitinjak, Petrus Susilawati, Susilawati Udiansyah Udiansyah, Udiansyah