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All Journal Jurnal Kimia Terapan Indonesia Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer
Rina Andriyani
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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 1 
ANTICANCER ACTIVITY OF ETHANOLIC EXTRACT OF Selaginella plana HIERON. ON T47D CELL LINE IN VITRO Chandra Risdian; Sri Handayani; Zalinar Udin; Rina Andriyani; Marissa Angelina
Jurnal Kimia Terapan Indonesia Vol 13, No 2 (2011)
Publisher : Research Center for Chemistry - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3718.065 KB) | DOI: 10.14203/jkti.v13i2.153

Abstract

Selaginella sp belongs to the Selaginellaceae family. It has been used in China and Indonesia as a traditional medicine. It hasseveral medicinal properties including antibacterial, anticardiovascular, and anticancer agent. The aim of the present study was to access the anticancer property of the ethanolic  extracts of Selaginella plana Hieron. on T47D breast cancer cell line. The proliferation of T47D cell line was detected by SRB (Sulforhodamine B) assay which was measured at a wavelength of 515 nM. The result showed that the IC50 of the ethanolic extract was determined at 7.03 pg/mL. This significant activity was assumed due to its high total flavonoid content. The totalflavonoid content of the ethanolic extract was 23.04%. Flow cytometry analysis indicated that the extract may undergo the cell death via apoptosis pathway. In conclusion, the ethanolic extract of Selaginella plana Hieron: has considerable activity in inhibiting T47D cell line proliferation.Key words: Selaginella plana Hieron., SulforhodamineB, T47Dcells, anticancer flow cytometry
Sistem Pakar Gangguan Menstruasi dengan Metode Teorema Bayes Ismail Ismail; Putri Nirmala; Rina Andriyani
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1748

Abstract

Advancements in information technology have brought significant impacts in the healthcare sector, particularly in the medical diagnosis process. Expert systems, as a technological innovation, mimic the capabilities of human experts in making decisions based on knowledge bases and inference rules. The development of expert systems aims to improve the efficiency and accuracy of diagnosis, especially when facing uncertainty and variations in clinical data. This system integrates symptom data, diseases, and prior probabilities derived from epidemiological studies and expert medical experience. In this study, the author designed and implemented an expert system for diagnosing menstrual disorders based on the Bayes’ Theorem method. The system utilizes main components such as a knowledge base, inference engine, and an intuitive user interface. The system workflow begins with the collection of symptom data, calculating probabilities using Bayes’ Theorem, and ultimately delivering probabilistic diagnoses presented informatively to the user. Testing the system demonstrated satisfactory accuracy in identifying menstrual disorders such as menorrhagia, dysmenorrhea, and premenstrual syndrome (PMS). The results show that applying Bayes’ Theorem enhances system reliability in managing data uncertainty and provides diagnosis recommendations based on probability. This system is expected to serve as an effective tool for healthcare professionals and patients for early diagnosis of menstrual disorders while expanding access to accurate and trustworthy health information. Future development will focus on improving the knowledge base and integrating advanced technologies to maximize its benefits in reproductive health.
Co-Authors Chandra Risdian Ismail Ismail Marissa Angelina Putri Nirmala Sri . Handayani Zalinar Udin