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p-Index From 2021 - 2026
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All Journal Indonesian Journal of Biotechnology Transformasi
Temartenan, Jecklyn Shindy
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Electrical & Electronics Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics

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SISTEM PAKAR DIAGNOSIS CORONA VIRUS “ViroCHECK” MENGGUNAKAN ALGORITMA DECISION TREE Lubis, Hendarman -; Temartenan, Jecklyn Shindy; Faizah, Safira
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.444

Abstract

The rapid spread of the virus, with symptoms ranging from mild to severe, makes early diagnosis and detection crucial in preventing and controlling the spread of this disease. Limited laboratory testing capacity, especially in areas with minimal healthcare facilities, requires a system capable of facilitating early identification based on symptoms and patient history, quickly, accurately, and efficiently. One approach is an expert system. The "ViroCheck" Coronavirus Diagnosis Expert System was developed using the Design Thinking Method. This expert system aims to assist users in diagnosing possible Coronavirus infection based on symptoms experienced. The decision-making process uses a Decision Tree algorithm, which is able to classify diagnostic results based on training data from previous cases. Problem analysis uses SWOT analysis, feasibility analysis uses TELOS analysis, and testing uses Usability Heuristic indicators that can observe user activity. The test results were 87%, proving that the designed digital startup has met user needs.Keywords: Expert System, Coronavirus, Decision Tree, Design Thinking, SWOT, TELOS, Usability Heuristic
Chitosan nanoparticle‐mediated delivery of anti‐miR‐203a‐3p for 4T1 triple‐negative breast cancer Temartenan, Jecklyn Shindy; Fiqri, Hairil; Satriyo, Pamungkas Bagus; Haryana, Sofia Mubarika
Indonesian Journal of Biotechnology Vol 31, No 1 (2026)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.110535

Abstract

Anti‐miR molecules can suppress specific microRNA (miRNA) functions within critical signaling pathways. Chitosan acts as a delivery system for miRNAs; therefore, encapsulating miR‐203a‐3p is essential for targeted delivery and biological activity. This study investigates the impact of chitosan‐encapsulated anti‐miR‐203a‐3p nanoparticles (CS‐NPs) on the viability, proliferation, and migration of triple‐negative breast cancer (TNBC) 4T1 cells. The nanoparticles were synthe‐ sized using the ionic gelation method in a 5:1 ratio of chitosan to anti‐miR‐203a‐3p, incorporating sodium tripolyphosphate (STPP) as a crosslinker. Characterization was conducted using gel electrophoresis and particle size analysis. Cytotoxicity and cell viability were assessed through the MTT assay, while colony formation and wound healing assays evaluated cell proliferation and migration. The nanoparticles demonstrated an encapsulation efficiency of 89.47% and showed significant inhibitory effects on 4T1 cell proliferation and migration. The MTT results indicate an IC50 value of 2.454 µM, while colony formation analysis revealed that both ½ and IC50 doses significantly reduced colony numbers compared to the control. Similarly, wound healing assays showed notable inhibition of cell migration at ¼, ½, and IC50 concentrations. These findings suggest that anti‐miR‐203a‐3p‐loaded CS‐NPs may offer a promising therapeutic approach to managing aggressive breast cancer subtypes, particularly TNBC.
Co-Authors Faizah, Safira Fiqri, Hairil Lubis, Hendarman - Pamungkas Bagus Satriyo Sofia Mubarika Haryana