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All Journal Jurnal Biologi Tropis Indonesian Journal of Chemical Studies (Indones. J. Chem. Stud.)
'Aliyah, Siti Hamidatul
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology

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Spray Gel Formulation of Ethanolic Extract Senduduk Leaves (Melastoma malabatricum) Against Antioxidant Activity, SPF, and Chemical Components Analysis with LC-MS/MS Yulion, Rizky; Andriani, Lili; Asadi, Henityo Agung; 'Aliyah, Siti Hamidatul; Mariska, Ruri Putri; Perawati, Santi; Hasanah, Rifdatul
Indonesian Journal of Chemical Studies Vol. 2 No. 2 (2023): Indones. J. Chem. Stud., December 2023
Publisher : Indonesian Scholar Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55749/ijcs.v2i2.37

Abstract

Senduduk leave (Melastoma malabathricum) is one of the species in the melastomaceae family that has long been used by local Indonesian people, one of which is the Suku Anak Dalam (SAD) for various needs and also as traditional medicine. The study aimed to examine the antioxidant activity of ethanolic extract of senduduk leaves. The extract was then formulated into spray gel preparations as UV-B sunscreen. The research method used was starting from sampling, determination, making samples, soxhlet, determining the IC50 value, spray gel preparation formulation, formulation stability test, measuring sun protection factor (SPF) values, and identifying extract chemical components with the LC-MS/MS instrument. The results was that the ethanolic extract of senduduk leaves had an IC50 value of 49.73 μg/mL with the best SPF value at a concentration of 70 ppm, which is 19.98. Spray gel preparations with a concentration of 70 ppm have an IC50 value of 44.22 μg/mL, an SPF value of 24.96, and a potent antioxidant intensity. So, extract spray gel can potentially have activity as antioxidants and can be used as UV-B sunscreen. The compounds identified include quercetin, quercitrin, DEET, n-boc-3-pyrrolidinone, medicarpine, taxinine, and other compounds. The ethanol extract of the soxhlet results showed more promising results for further tests of in-vitro, in-vivo, and in-silico bioactivity studies.
Linking Artificial Intelligence and Insect Genetics for Coffee Plantation Research: A Bibliometric Perspective Priyambodo, Priyambodo; Parabi, M. Iqbal; Rustiati, Elly Lestari; Permatasari, Nindy; Amrullah, Syarif Hidayat; 'Aliyah, Siti Hamidatul
Jurnal Biologi Tropis Vol. 25 No. 4 (2025): Oktober-Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4.9996

Abstract

Artificial intelligence (AI) has advanced rapidly over the past two decades, creating opportunities to address ecological and agricultural challenges by integrating computational methods with genetics. This study aims to map the scientific landscape of research at the intersection of AI, insect population genetics, and coffee agroecosystems. A bibliometric analysis was conducted using the Scopus database, covering publications from 1978 to 2025 and employing co-occurrence, co-authorship, centrality, and co-citation analyses supported by VOSviewer for visualization. The results show a significant growth in publications since 2010, with the United States and Brazil as leading contributors, while collaborations among influential authors and institutions have shaped three main clusters: ecology and agroecosystem management, insect–pest interactions and biological control, and genetics with molecular approaches to plant metabolism. The co-citation network further highlights the integration of pest ecology, biodiversity conservation, and the economic value of pollinators as central themes. These findings indicate that AI–genetics integration is increasingly pivotal for sustainable coffee management, with future research directions emphasizing predictive modeling of pest and pollinator dynamics under climate variability, alongside investigations into soil microbiomes and pollinator health to enhance resilience in coffee production systems.
Co-Authors Elly Lestari Rustiati Hasanah, Rifdatul Lili Andriani M. Henityo Agung As'adi Parabi, M. Iqbal Permatasari, Nindy Priyambodo Priyambodo Rizky Yulion Ruri Putri Mariska Santi Perawati, Santi Syarif Hidayat Amrullah