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All Journal Jurnal Ilmiah Matrik Journal of Pharmaceutical and Sciences.
Mukhlis Rohmadi
UIN Palangka Raya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health

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Efektivitas Antijamur Kombinasi Ekstrak Bajakah (Uncaria acida) dan Bandotan (Ageratum conyzoides) pada Mencit dengan Onikomikosis yang Terinfeksi Trichophyton rubrum Nor Rezqiyatun Najhah; Mukhlis Rohmadi; Lilin Ika Nur Indahsari
Journal of Pharmaceutical and Sciences JPS Volume 9 Nomor 1 (2026)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/journal-jps.com.v9i1.1392

Abstract

Onychomycosis is a fungal infection of the nail predominantly caused by Trichophyton rubrum and requires safer alternative therapies compared to synthetic antifungal agents. The combination of plant extracts may produce synergistic effects through interactions among bioactive compounds with complementary antifungal mechanisms. This study aimed to evaluate the effectiveness of a combined extract of Bajakah root (Uncaria acida) and Bandotan leaf (Ageratum conyzoides) as a topical therapy in T. rubrum–induced Balb/c mice. The selection of this combination was based on the presence of flavonoids, tannins, alkaloids, terpenoids, and saponins in both plants, which are theoretically associated with antifungal activity. Extracts were obtained by 96% ethanol maceration and formulated into ointments at concentrations of 25%, 50%, 75%, and 100%. Clinical parameters observed included periungual swelling, lesion diameter, nail discoloration, and nail brittleness. Phytochemical analysis confirmed the presence of major bioactive secondary metabolites in both extracts. The results demonstrated clinical improvement in all treatment groups, with the most pronounced effects observed at concentrations of 75–100%. Kruskal–Wallis analysis revealed significant differences among treatments (p < 0.05) for all parameters, which were further confirmed by Dunn’s post hoc test. Overall, the combined extracts of U. acida and A. conyzoides effectively reduced the severity of T. rubrum–induced onychomycosis and show potential as a natural antifungal candidate derived from local plant resources.
Pengembangan Alat Evaluasi Berbasis Google Apps Script (GAS) untuk Ujian Akhir Semester (UAS) Mahasiswa FTIK UIN Palangka Raya Mukhlis Rohmadi; Nurul Septiana
Jurnal Ilmiah Matrik Vol. 28 No. 1 (2026): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/q9gt0703

Abstract

Academic integrity in online exams is now facing major challenges due to the penetration of generative artificial intelligence (AI), while conventional platforms such as Google Forms and standard Learning Management Systems (LMS) often fail to provide adequate cheating detection features. This research aims to develop a Computer-Based Test (CBT) evaluation tool based on Google Apps Script (GAS) at FTIK UIN Palangka Raya which integrates anti-cheating features and an automated essay assessment system through AI (strict prompting) instructions. Using the Research and Development (R&D) method with a 4D (Define, Design, Develop, Disseminate) model, this study involved 267 students as trial subjects. The resulting product includes dynamic question management, automatic randomization, and comprehensive student activity logging to monitor behavior during exams. The results of the study showed high effectiveness with a student satisfaction score of 4.9 out of 5. However, challenges were found in the user experience aspect, particularly the triggering of positive-false fraud due to device system notifications and dependencies on network stability. These innovations deliver strategic value through modularity and cost efficiency, effectively filling functional gaps on previous platforms that did not yet support AI-based assessments. As an adaptive solution, this tool strengthens institutional credibility in managing the evaluation of learning outcomes independently in the digital era.
Co-Authors Lilin Ika Nur Indahsari Nor Rezqiyatun Najhah Nurul Septiana