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All Journal Jurnal Kedokteran Brawijaya Malcom: Indonesian Journal of Machine Learning and Computer Science
Yulianto, Ragil
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Computer Science & IT Medicine & Pharmacology

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In Vitro Test on the Effectiveness of Citrus limon and Allium sativum as Pediculicides Susanty, Elva; Lesmana, Suri Dwi; Afandi, Dedi; Yulianto, Ragil; Andhika, Kevin Rovi
Jurnal Kedokteran Brawijaya Vol 31, No 2 (2020)
Publisher : Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkb.2020.031.02.4

Abstract

Excessive usage of synthetic pediculicides, such as permethrin, lindane, and malathion, can induce resistance, environmental pollution, health problems, and even death. Efforts to prevent the side-effects of synthetic pediculicides are needed, one of which is by shifting to powerful yet safe natural pediculicides, such as Citrus limon (lemon) and Allium sativum (garlic). This study aimed to observe the effective concentration of Citrus limon and Allium sativum in vitro on the mortality of Pediculus humanus capitis (P. h. capitis). This research was an experimental laboratory study conducted in July to September 2019 in the Laboratory of Parasitology at Faculty of Medicine, University of Riau, while the making of Allium sativum extract was done at the Faculty of Mathematics and Science, University of Riau. A total of 288 samples of adult P. h. capitis was taken from children in two orphanages in Pekanbaru. Citrus limon juice and Allium sativum extract of 25%, 50%, 75%, and 100% concentrations, permethrin 1% as the positive control, and distilled water as the negative control were used in this study, and repetition was done three times. P. h. capitis mortality was observed every 10 - 120 minutes, characterized by the absence of movement of the legs and antenna. Data analysis was performed after 120 minutes with the one-way ANOVA test, LSD (=0.05), and Lethal Concentration 50 test (LC50). The one-way ANOVA test results of this study showed that statistically Citrus limon juice and Allium sativum extracts showed differences in each treatment formulation of juice on P. h. capitis mortality (Sig 0.017<0.05 and Sig 0.000<0.05) and LC50 juice of Citrus limon and Allium sativum extract by 51.999% and 72.426%. In this study, Citrus limon juice and Allium sativum extract had effect as pediculicides.
Smart Prescription Reader: Enhancing Accuracy in Medical Prescriptions Yulianto, Ragil
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.1934

Abstract

Reading a doctor's handwritten prescription is a challenge faced by most patients and some pharmacists, which in some cases can lead to negative consequences due to misinterpretation of the prescription. The "Doctor's Handwritten Prescription BD Dataset" on Kaggle contains segmented images of handwritten prescription words from BD (Bangladesh) doctors. This dataset, intended for machine learning applications, includes 4,680 individual words segmented from prescription images. This study introduces a Handwriting Recognition System using Convolutional Neural Network (CNN) developed to identify text in prescription images written by doctors and convert the cursive handwriting into readable text. Two models were evaluated in this study: CNN and MobileNet. Based on the experiments, MobileNet showed better results compared to CNN alone. From the dataset of 4,680 words, 3,120 were used for training, 780 for testing, and 780 for validation. The study achieved a training accuracy of 97%, a testing accuracy of 88%, and a validation accuracy of 83%. The developed model was successfully implemented in a web application
Co-Authors Andhika, Kevin Rovi Dedi Afandi Elva Susanty Suri Dwi Lesmana