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All Journal Jurnal Kesehatan Andalas Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Medical and Health Journal
Setyanto, Muhamad Rifqy
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Journal : Medical and Health Journal

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STUDI LITERATUR: POTENSI BUAH PARIJOTO (Medinilla speciosa) SEBAGAI ANTIMALARIA Ihtiaringtyas, Suci; Pauzi, Rizqi Yanuar; Setyanto, Muhamad Rifqy
Medical and Health Journal Vol 4 No 1 (2024): August
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mhj.2024.4.1.12805

Abstract

Malaria is one of the deadliest infectious diseases in the world. It is caused by the parasite Plasmodium spp. and transmitted through the bites of female Anopheles mosquitoes. This disease remains a significant global health problem, particularly in tropical and subtropical regions. Approximately 41% of the world's population is at risk of malaria infection. Artemisinin-based Combination Therapy (ACT) remains the gold standard for malaria treatment, but resistance is beginning to develop, necessitating alternative treatments from natural sources found in plants. Parijoto (M. speciosa) is an exotic fruit native to Indonesia that grows abundantly in mountainous areas. The fruit has been widely used by local communities to treat various ailments, including mouth ulcers, inflammation, and diarrhea. Numerous studies have been conducted to prove the effectiveness of this plant's fruit as an alternative natural remedy. This study aims to investigate the potential of parijoto fruit (M. speciosa) as an antimalarial agent. The method used is a literature review with a Systematic Literature Review design. Articles were sourced from the Google Scholar database, including both national and international journal articles. Based on the research findings, parijoto fruit has been proven to contain bioactive compounds, including phenolics, flavonoids, saponins, tannins, alkaloids, cardenolides, and glycosides. These secondary metabolite compounds in the plant have been shown to possess antioxidant, antidiabetic, antimicrobial, anticancer, and other beneficial activities. It is hoped that the secondary metabolite compounds contained in parijoto fruit (M. speciosa) have the potential to serve as antimalarial agents.
Relationship Between Results of The Gajah Mada Stroke Algorithm Assessment and Type of Stroke Based On Non Contrast Head CT-Scan Results at Wijayakusuma Purwokerto Hospital Rasyida, Azra Ar; Fakih, Mohamad; Pratama, Tisna Sendy; Setiawan, Agus Budi; Muntafiah, Alfi; Setyanto, Muhamad Rifqy
Medical and Health Journal Vol 5 No 1 (2025): August
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mhj.2025.5.1.14824

Abstract

Background: Stroke is a neurological deficit condition that often results in serious consequences dan requires rapid dan accurate diagnosis. Objective: This study aims to determine the relationship between the results of the Gajah Mada Stroke Algorithm assessment dan the type of stroke detected through non-contrast head CT scans at RST Wijayakusuma Purwokerto. Methodology: The research employed an observational approach, collecting data from 32 patients presenting with acute stroke symptoms from June to July 2024. Data were gathered through patient anamnesis, physical examinations, dan non-contrast head CT-scan results. Results: The findings indicate that ischemic stroke is the most prevalent type, accounting for 84.4% of cases based on non-contrast head CT scans. The Gajah Mada Stroke Algorithm also identified the majority of cases as ischemic stroke, with 59.4% of cases. Bivariate analysis using Fisher's Exact Test revealed a p-value of 0.006, demonstrating a significant relationship between the Gajah Mada Stroke Algorithm assessment dan CT-scan results. Conclusion: The Gajah Mada Stroke Algorithm has proven effeCTive in distinguishing between types of stroke. This study supports the use of the algorithm as a clinical diagnostic tool in stroke management.
Co-Authors Agus Budi Setiawan, Agus Budi Alfi Muntafiah Ernawati, Dwi Arini Fakih, Mohamad Gumilas, Nur Signa Aini Harini, Ika Murti Ihtiaringtyas, Suci Pauzi, Rizqi Yanuar Pratama, Tisna Sendy Rasyida, Azra Ar Renggani, Induwidi Quamilla Wahyudin Wahyudin Zainuddin, Zainuddin