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All Journal Jurnal Riset Informatika Indonesian Journal of Life Sciences
Hasuki, Winda
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Medicine & Pharmacology

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Meta-Analysis: Effectiveness of SSRIs vs SSRIs in conjunction with CBT in treating depression in young adolescents Kresnia, Gabriele Mustika; Hasuki, Winda; Pradana ratnasari, Nanda Rizqia
Indonesian Journal of Life Sciences 2020: IJLS Vol 02 No .01
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.43 KB) | DOI: 10.54250/ijls.v2i1.35

Abstract

Objective: To compare the efficacy of SSRI medication alone and SSRI+CBT combined. Methods: NCBI Pubmed, DARE, CSDR and NGC were searched October-November 2019. The population size, as well as the base and endpoint CGAS mean and standard deviation from the three studies included, are recorded. Statistical analysis was done in RStudio with the "meta" package. Results: For the SSRI only, the effect size was -1.82 with a 95% confidence interval between -2.28 and -1.37. For the SSRI and CBT combined, the effect size was -1.68 with a 95% confidence interval between -2.39 and -0.98. The effect size for both SSRI and SSRI + CBT didn't cross the null effect line, but the heterogeneity exceeds 50%. The result for the comparison of post SSRI vs. SSRI + CBT showed the effect size of -0.05 with a 95% confidence interval between -0.23 and 0.12. The size effect did cross the null effect line, but the heterogeneity was less than 50%. Conclusion: Both methods were shown to be effective. However, due to statistical inconsistencies, it couldn’t be concluded whether the combination of SSRI and CBT is better than treatment with SSRI alone.
WATER INTAKE APPLET BASED ON HUMAN EXCREMENT Swastika, Nadine; Hasuki, Winda; Savero, Sava; Satya, Putri Gabriella; Parikesit , Arli Aditya
Jurnal Riset Informatika Vol. 3 No. 2 (2021): March 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i2.56

Abstract

To function properly, the human body requires adequate hydration as 70% of the human body was being built up by water. It acts as a solvent for lots of biochemical reactions to keep our physiological function work optimally throughout the day. Dehydration could cause a disturbance in both the gastrointestinal and kidney systems of human beings, and it could be noticed in the color of both urine and feces. The objective of this paper is to present an idea on how to make a water intake app based on the color indicator of human excrement surveillance. It might be a solution to intensify people's ability to become self-conscious when drinking less water by surveying the excreted substance. The deployed method is to measure one indicator which is between urine and feces detector on how much water should the user drink by observing the color of both their urine and feces. However, both excrement indicators are needed to detect users' drinking amount. If one of these indicators shows a bad result, it could lead to water intoxication or hydration. The application has been successfully created using Python to give feedback for the user's water intake based on the condition of their excreted substance. The Water Intake application has successfully shown a clear indicator for dehydration. It could be inferred that this water intake software could detect the dehydration phenomenon with human excrement as the main indicator.
Co-Authors Kresnia, Gabriele Mustika Parikesit , Arli Aditya Pradana ratnasari, Nanda Rizqia Satya, Putri Gabriella Savero, Sava Swastika, Nadine