Jenis-Jenis Dan Potensi Jamur Makroskopis Yang Terdapat Di Pt Perkebunan Hasil Musi Lestari Dan Pt Djuanda Sawit Kabupaten Musi Rawas

Fitriani, Linna; Krisnawati, Yuni; Anorda, Msy Olivia Rega; Lanjarini, Ketri

doi:10.31540/biosilampari.v1i1.49

Cited by 12 publications

(10 citation statements)

References 1 publication

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“…The number of the growing C. comatus is higher than C. decembris. This fact is also described by Fitriani et al [19], who studied in palm oil plantation area in Musi Rawas District, South Sumatera Province.…”

Section: Resultssupporting

confidence: 75%

The Diversity of Indigenous Mushrooms Grow on Decomposed Oil Palm Empty Fruits Bunch at Palm Oil Plantation in Paser Regency, Indonesia

Masitah¹,

Candra²,

Masruhim³

et al. 2022

Proceedings of the 4th International Conference on Life Sciences and Biotechnology (ICOLIB 2021)

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The community nearby palm oil plantations have benefited from the indigenous mushroom growing on decomposed oil palm empty fruit bunches (OPEFB). Some mushrooms are edible, but others are known as non-edible due to their toxicity. There is limited scientific information about the biodiversity of indigenous mushrooms growing on the decomposed OPEFB. Therefore, an explorative study was conducted in March 2021 to determine the level of the indigenous mushrooms during the one to six months of decompose period of the OPEFB at a palm oil plantation in Paser Regency, Indonesia. Purposive plot sampling on decomposed OPEFB pile was carried out to collect the mushrooms. A deep interview questioner was used to find out the utilization of the mushrooms using census method on respondents living nearby the plantation area. The diversity characteristics of the mushrooms growing on OPEFB were determined by morphological identification based on the reference of Watling (2017) "Identification of the Larger Fungi" and using mushrooms identification application of "mushroom identificator" for Android. This research identifies five types of indigenous mushrooms growing on OPEFB: Auricularia polytricha, Volvariella volvaceae, and Pleurotus ostreatus, which are edible mushrooms. At the same time, due to their toxicity, Collytoybe decembris and Coprinus comatus belong to non-edible mushrooms. The biodiversity characteristics of indigenous mushrooms growing on OPEFB are low for diversity index (0.460), dominance index (0.428), and wealth index/species richness (0.517), while the evenness index is classified as moderate (0.660). These results show that decomposed OPEFB has bioeconomic potential due to the various indigenous mushrooms, which then be developed as functional food sources or medicinal plants.

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Section: Resultssupporting

confidence: 75%

The Diversity of Indigenous Mushrooms Grow on Decomposed Oil Palm Empty Fruits Bunch at Palm Oil Plantation in Paser Regency, Indonesia

Masitah¹,

Candra²,

Masruhim³

et al. 2022

Proceedings of the 4th International Conference on Life Sciences and Biotechnology (ICOLIB 2021)

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“…Identifikasi Jenis. Proses identifikasi jamur makroskopis dilakukan langsung di lapangan dengan mengacu pada buku The Field Guide to Mushrooms [11], jurnal-jurnal penelitian mengenai jamur makroskopis [12] dan website (https://www.mushroomexpert.com).…”

Section: Metode Penelitianunclassified

Ragam jenis jamur makroskopis di Kawasan Hutan Topidi dan Hutan Garassi Malino

Lestari

Hasyimuddin²,

Nurindah³

2023

Filogeni: J. Mahasiswa Bio.

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Indonesia merupakan salah satu negara megabiodiversitas. Salah satu jenis yang melimpah di Indonesia adalah jenis jamur yang diperkirakan sejumlah 200.000 jenis dari 1,5 juta jenis. Hutan Topidi dan hutan Garassi merupakan hutan yang berada di Malino Kabupaten Gowa, Sulawesi Selatan yang memiliki potensi untuk mendukung pertumbuhan jamur karena keadaan lingkungannya yang banyak menghasilkan serasah yang merupakan substrat bagi pertumbuhan jamur. Maka dari itu dilakukan penelitian ini dengan tujuan mengetahui jenis-jenis jamur yang tumbuh pada kawasan hutan Topidi dan hutan Garassi. Penelitian ini bersifat deskriptif eksploratif dengan metode jelajah. Data dikumpulkan dengan teknik observasi dan dokumentasi. Hasil penelitian ditemukan 7 ordo jamur makroskopis yang terdiri dari 14 familia dan 27 jenis. Jenis jamur makroskopis yang ditemukan yaitu Galerina marginate, Collybia sp., Collybia acervata , Marasmius candius , Marasmius sp., Hygrocybe conica, Schizophyllum commune, Amanita sp., Lycoperdon pyriforme, Coprinus sp, Auricularia auricula, Trametes versicolor, Trametes hirsute, Trametes elegans, Trametes gibbose, Gastroboletus sp., Dacryopinax spathularia, Coltricia cinnamomea, Pycnoporus sanguineus, Ganoderma sp., Ganoderma lucidum, Ganoderma applanatum, Microporus affinis, Microporus xanthopus, Lentinus triginus, dan Lentinus sp.

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“…Indonesia has a tropical climate area that is quite supportive of the growth of fungi (Fitriani et al, 2018). Fungi include the kingdom of fungi, which is one of the eukaryotic microorganisms (having a cell nucleus) that does not have chlorophyll, has spores as a means of dispersal, somatic structure of thallus in the form of a single cell (unicellular), and in the form of filaments or branched threads (multicellular) called hyphae (Mulyana, 2019).…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Mushroom Type Classification Based on Multi-Scenario Dataset Using Decision Tree C4.5 and C5.0

2022

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Indonesia has a tropical climate that supports mushroom growth. Mushroom classification into poisonous and non-poisonous mushrooms. Identification of the type of mushroom is vital because mushrooms, especially poisonous mushrooms, risk causing potential hazards to humans, such as causing serious illness and even death. This study aimed to identify the fungus type using a computational approach, namely the Decision Tree C4.5 and C5.0 Algorithms. This research contributes to using multi-scenario datasets and comparing the performance of the C4.5 and C5.0 decision tree algorithms. The dataset used is a fungal classification dataset obtained from kaggle.com. The method stages in this research are literature study, data collection, and data preprocessing, which includes a data cleaning process and a partitioning process for multi-scenario datasets. Afterwards, the Decision Tree Algorithms C4.5 and C5.0 were implemented using the sci-kit-learn library. The last step is to do a performance comparison using the confusion matrix. The results showed that identifying poisonous mushrooms using the Decision Tree C5.0 Algorithm obtained an accuracy of 97.05% for scenario 1, 97.00% for scenario 2, and 97.11% for scenario 3. At the same time, the Decision Tre C4.5 algorithm yielded an accuracy. by 96.92% for scenario 1, 96.90% for scenario 2, and 97.05% for scenario 3. Based on the comparison of the performance of the classification results, we conclude that the Decision Tree C5.0 algorithm in scenario 3 has the highest accuracy for fungal identification poisonous.

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Jenis-Jenis Dan Potensi Jamur Makroskopis Yang Terdapat Di Pt Perkebunan Hasil Musi Lestari Dan Pt Djuanda Sawit Kabupaten Musi Rawas

Cited by 12 publications

References 1 publication

The Diversity of Indigenous Mushrooms Grow on Decomposed Oil Palm Empty Fruits Bunch at Palm Oil Plantation in Paser Regency, Indonesia

The Diversity of Indigenous Mushrooms Grow on Decomposed Oil Palm Empty Fruits Bunch at Palm Oil Plantation in Paser Regency, Indonesia

Ragam jenis jamur makroskopis di Kawasan Hutan Topidi dan Hutan Garassi Malino

Performance Comparison of Mushroom Type Classification Based on Multi-Scenario Dataset Using Decision Tree C4.5 and C5.0

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