Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pertanian Indonesia Proceeding of International Conference on Biology Education, Natural Science, and Technology
Hidayat, Galang Anahatta
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Education Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Selection of Lignin Degrading Bacteria from Soil, Kitchen Waste, Leaf Litter, and Cow Dung Based on Lignin Peroxidase and Manganese Peroxidase Activities Taruna Dwi Satwika; Yulianti, Dwiana Muflihah; Hidayat, Galang Anahatta; Mariana, Afifah
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 1 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.1.163

Abstract

Lignin is a complex chemical heterogeneous polymer that forms a physical barrier to lignocellulose's biological and chemical hydrolysis, making lignocellulosic biomass challenging to degrade. Ligninolytic microorganisms play an essential role in lignin degradation by producing extracellular enzymes. Lignin peroxidase and manganese peroxidase are enzymes that play a role in lignin degradation. Forty-one bacterial isolates have been isolated from soil, kitchen waste, leaf litter, and cow dung. However, the ligninolytic activity of these isolates has yet to be discovered. This research aimed to determine the ligninolytic ability of bacteria isolated from soil, leaf litter, kitchen waste, and cow dung based on lignin peroxidase and manganese peroxidase activity. The study was conducted stages: isolate recultured, qualitative and quantitative testing of lignin peroxidase activity based on degradation of methylene blue dye, and qualitative and quantitative testing of manganese peroxidase activity based on degradation of phenol red dye. A total of four bacterial isolates from soil (Tn9, Tn14, Tn16, and Tn17) and two bacterial isolates from cow dung (KS2 and KS5) showed qualitative and quantitative lignin peroxidase activity. Manganese peroxidase activity was also shown by four isolates from soil (Tn2, Tn6, Tn14, and Tn16), one isolate from kitchen waste (SD1), and one isolate from cow dung (KS5) both qualitatively and quantitatively. The nine bacterial isolates that showed lignin peroxidase and manganese peroxidase activity have potential as lignin-degrading biological agents. Keywords: bacteria, ligninolytic, peroxidase
Expanding the Therapeutic Landscape: Exploring the Antimicrobial and Bioactive Potential of Mangrove-Derived Endophytic Fungi Rovik, Anwar; Mariana, Afifah; Hidayat, Galang Anahatta; Rahman, Farras Alifia
Proceeding of International Conference on Biology Education, Natural Science, and Technology 2025: Proceeding of International Conference on Biology Education, Natural Science, and Technology
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The escalating rise of antibiotic resistance poses a significant challenge to discovering new, effective antibiotics. This crisis represents one of the most critical threats to global health, potentially leading to a future where even minor infections could become fatal. Endophytic fungi have recently emerged as a promising source of novel bioactive compounds. This review highlights the potential of endophytic fungi isolated from mangrove vegetation to produce new antimicrobial agents. Mangrove-derived endophytic fungi are found in healthy leaves, hypocotyls, roots, stems, and flowers. The symbiotic relationship between mangrove vegetation and these fungi promotes the synthesis of diverse bioactive compounds, including newly discovered molecules such as cytospyrone, cytospomarin, penicibrocazines, thiocladospolides, coumarin, isocoumarins, and dihydroradicinin. Beyond their antimicrobial potential, these fungi also produce compounds with antifungal, antioxidant, anticancer, anti-inflammatory, anti-filarial, antibiofilm, influenza antiviral, antimycobacterial, and biological control properties. The traditional approach to antibiotic development is complex, challenging, costly, time-consuming, and labor-intensive. To overcome these obstacles, research must integrate machine learning for big data analysis and molecular-based exploration, including genomics, proteomics, and transcriptomics.
Co-Authors Mariana, Afifah Rahman, Farras Alifia Rovik, Anwar Taruna Dwi Satwika Yulianti, Dwiana Muflihah