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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal EduHealth
Adanti Wido Paramadini
Institut Teknologi Telkom Purwokerto
Computer Science & IT Health Professions Public Health Veterinary

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Biocompatibility Study with Baby Hamster Kidney Cells on Acetobacter Xylinum Pellicle for Diabetic Foot Laceration Adanti Wido Paramadini; Faizah Faizah
Jurnal EduHealth Vol. 14 No. 03 (2023): Jurnal EduHealt, Edition September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnaleduhealth.v14i3.2595

Abstract

Diabetes mellitus, commonly known as diabetes, is a persistent metabolic condition marked by elevated blood glucose levels. This condition's global prevalence has been consistently increasing, becoming a major cause for concern in public health on an international scale. This disease can lead to various complications, including impaired wound healing. The purpose of this study is to determine the cytotoxicity level of hydrogel membranes made from Acetobacter xylinum and whether the used method is appropriate for producing proper wound healing material. The findings of the study, employing BHK Kidney cells and the MTT Assay technique, revealed that the dehydrated hydrogel membrane derived from bacterial cellulose and processed through oven drying exhibited a toxicity level of less than 50% across all samples. Additionally, the swelling test indicated a rise in water absorption when the membrane was combined with collagen material
Enhancement of Antioxidant and Colon Anticancer Activity from Fermented Rice Bran Extract Faizah Faizah; Adanti Wido Paramadini
Jurnal EduHealth Vol. 14 No. 03 (2023): Jurnal EduHealt, Edition September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnaleduhealth.v14i3.2597

Abstract

This review focuses on the enhancement of antioxidant activity and the colon anticancer effect of fermented rice bran extract. Fermentation is a biological process that has been proven to significantly increase the content of bioactive compounds in various food sources, including rice bran. This study investigates how fermentation affects the antioxidant activity and colon anticancer potential of rice bran extract. The review highlights a positive correlation between phenolic content and antioxidant activity, indicating that fermented rice bran extract exhibits higher antioxidant properties compared to non-fermented ones. Additionally, this research explores the role of different fermentation microorganisms in promoting the release of phenolic compounds, contributing to increased antioxidant activity and colon anticancer effects. Understanding the potential health benefits of fermented rice bran extract can contribute to the development of functional food products with improved nutritional and therapeutic effects
EXPERT SYSTEM FOR DISEASE IDENTIFICATION BASED ON HEMATOCHEZIA SYMPTOMS WITH NAÏVE BAYES METHOD Dasril Aldo; Alwendi Alwendi; Adanti Wido Paramadini; Ilwan Syafrinal; Sapta Eka Putra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 9 No 2 (2024): JITK Issue February 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i2.5064

Abstract

Hematochezia is a common clinical symptom in various gastrointestinal diseases, requiring accurate diagnosis for effective treatment. This study aims to develop an expert system for the rapid and precise identification of hematochezia-causing diseases. The expert system is designed to assist patients in efficiently recognizing diseases, minimizing treatment failure risks. It employs the Naïve Bayes method, a data calculation approach involving summing combinations and frequencies of each dataset. The expert system methodology begins with training using a dataset comprising hematochezia symptoms and corresponding disease diagnoses. The dataset is input into a database as training data. Subsequently, it undergoes classification and training stages. Symptom data can then be processed using the Naïve Bayes method. The system's end result displays probability values for each disease based on provided symptoms. This analysis relies on specific symptoms selected by the user, such as Rectal Pain, Hematochezia, Constipation, Fatigue, and Abdominal Cramps. It yields a Hemorrhoids diagnosis with a posterior probability of 0.514738. In testing with 35 sample cases, the expert system exhibited a remarkable accuracy rate of 94.29%. This expert system efficiently supports disease diagnosis based on hematochezia symptoms, aiding in swift and accurate identification.
Co-Authors Dasril Aldo Faizah Faizah Ilwan Syafrinal Putra, Sapta Eka