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All Journal Indonesian Journal of Chemical Science Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding
Triana Kusumaningtyas, Triana
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Public Health Social Sciences

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SINTESIS KITOSAN-ARGININ DENGAN KATALIS PIRIDIN DAN UJI AKTIVITAS ANTIBAKTERI TERHADAP Escherichia coli Purnawan, Candra; Purwanto, Purwanto; Martini, Tri; Kusumaningtyas, Triana; Ambarrukmi, Asnani Ratna
Indonesian Journal of Chemical Science Vol 3 No 2 (2014)
Publisher : Indonesian Journal of Chemical Science

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Abstract

Telah dilakukan penelitian tentang sintesis kitosan-arginin dengan katalis piridin dan uji aktivitas antibakteri terhadap Escherichia coli. Tujuan penelitian ini adalah mempelajari pengaruh penambahan massa arginin pada kitosan dan variasi suhu reaksi dalam sintesis kitosan-arginin terhadap aktivitas antibakteri Escherichia coli serta membandingkan kitosan dan kitosan-arginin terhadap aktivitas antibakteri Escherichia coli. Sintesis kitosan-arginin dilakukan dengan perbandingan massa (b/b) kitosan:arginin 1:0,5; 1:1; 1:1,25; 1:1,5; 1:2 dan variasi suhu reaksi 60 °C, 80 °C, 100 °C menggunakan katalis piridin untuk mengaktifkan gugus karbonil arginin. Karakterisasi kitosan-arginin meliputi Spektroskopi Sinar Merah (FT-IR), Analisis Termal (TGA-DTA) dan % Nitrogen dengan metode Kjeldahl. Uji aktivitas antibakteri menggunakan metode Optical Density (OD) λmaks 600 nm pada jam ke-0, 3, 6, 9, 12, 24 dan 48. Hasil penelitian menunjukkan bahwa penambahan massa arginin dan variasi suhu reaksi sintesis kitosan-arginin tidak menunjukkan perbedaan signifikan terhadap daya hambat bakteri. Namun ketika aktivitas antibakteri kitosan jam ke-48 menurun, aktivitas antibakteri kitosan:arginin 1:1,5 pada 80 ᵒC masih meningkat.
Investigation of Moringa Leaf Compounds as Colon Anticancer Agents Using Bioinformatics and Molecular Docking Methods Saputri, Dwi; Kusumaningtyas, Triana; Setiadi, Prismo; Febriansah, Rifki
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 2 No. 2 (2023): Strengthening Youth Potential for Sustainable Innovation
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/umygrace.v2i2.421

Abstract

Introduction - Colon cancer is a disease that has a high mortality rate. Cancer treatments such as chemotherapy can cause severe side effects. So, it is necessary to do research on herbal plants to minimize these side effects. The bioactive compounds in Moringa leaves (Moringa oleifera L.) are known to have antioxidant and anticancer activity, so they have the potential to be used as cancer treatment. Purpose – . This study aims to determine the potential of Moringa leaves as an anticancer agent in silico. Methodology/Approach – The in silico test used is STITCH-STRING bioinformatics and molecular docking. STITCH-STRING bioinformatics was used to determine the target protein of the test compound, and molecular docking was used to determine the binding affinity between the test compound and cancer protein. Findings – In the STITCH-STRING bioinformatics test, the potential targets for kaempferol and quercetin were TP53-ESR1 and STAT3-EGFR, respectively.test Molecular docking on cancer protein showed that quercetin compound in EGFR protein had the best binding with a docking score of -9.2 kcal/mol. This shows good results because the docking score obtained is lower than the comparison drug (Fluorouracil) which has a docking score of -4.2 kcal/mol. These results indicate that compounds in Moringa leaves (Moringa oleifera L.) have the potential to be used as anticancer agents. Originality/ Value/ Implication – Moringa leaf research using bioinformatics and molecular docking methods is still rarely done, so this research can be used as further knowledge related to the search for moringa leaf compounds that have the potential for anticancer using bioinformatics and molecular docking methods
Co-Authors Asnani Ratna Ambarrukmi, Asnani Ratna Candra Purnawan Purwanto Purwanto Rifki Febriansah Saputri, Dwi Setiadi, Prismo Tri Martini