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All Journal Majalah Obat Tradisional Jurnal Ilmiah Pharmacy Jurnal Farmasi Kryonaut
Khrisna Pangeran
Magister Of Pharmaceutical Science, Faculty Of Phramacy, Universitas Gadjah Mada
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Antioxidant Capacity from Ethyl Acetate Fraction of Kenikir (Cosmos Caudatus K) Khrisna Pangeran; Tatang Irianti Irianti; Hari Purnomo
Majalah Obat Tradisional Vol 28, No 2 (2023)
Publisher : Faculty of Pharmacy, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mot.84604

Abstract

Antioxidant is an activity that inhibits oxidation reactions due to exposure to free radicals, the search for antioxidant compounds continues to be developed from natural sources. The purpose is to identify new sources of safe and inexpensive agents through antioxidant capacity from ethyl acetate fraction on kenikir leaves was evaluated through enzymatic and non-enzymatic in vitro models. The research began with the method of separating compounds from ethanol extracts and ethyl acetate fractions, quantification of total phenolics and flavonoids, antioxidant capacity tests with DPPH, and tyrosinase enzyme. The results of the study produced isolate E which was observed in a single stain with Rf 0,80. The compound has a typical marker worth 1734.07 cm-1 with an indication of stretching vibration movement on C-O. It has a maximum wavelength of ± 216 nm, with an abundance of 49.75% and a retention time of 27.20 minutes. TPC and TFC test results, the water fraction is the most dominant value with 0.430 mgGAE/g and 0.056 mQE/g. DPPH assay results, isolate E has an IC50 value of 162.03 ppm and a %inhibition of 12.73%. The tyrosinase inhibition test of L-DOPA substrate was resulting an IC50 value of 77.51 ppm compared to kojic acid of 16.48 ppm.
Hepatotoksisitas Isoniazid, Ibuprofen, Parasetamol, dan Amoksisilin-Klavulanat: Tinjauan Naratif Pangeran, Khrisna; Saputra, Rifaldi
Jurnal Ilmiah Pharmacy Vol 13, No 1 (2026)
Publisher : Sekolah Tinggi Kesehatan Al-Fatah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52161/jiphar.v13i1.892

Abstract

Hati merupakan organ dalam tubuh manusia yang berperan dalam proses metabolisme. Oleh karena itu, potensi terjadinya kerusakan hati akibat obat (drug-induced liver injury/DILI) cukup besar akibat berbagai obat dan zat kimia lingkungan yang masuk ke dalam tubuh dan dapat menyebabkan gangguan metabolisme serta homeostasis sistemik. Beberapa studi ilmiah dan klinis telah mengidentifikasi beberapa faktor terkait obat dan herbal yang berkaitan dengan peningkatan risiko kerusakan hati akibat obat. Hepatotoksisitas akibat obat merupakan penyebab utama sebagian besar kasus gagal hati dan transplantasi hati sejauh ini. Salah satu obat yang terbukti menyebabkan hepatotoksisitas pada manusia adalah isoniazid atau isonikotinil hidrazida (INH). Penelitian ini bertujuan untuk mengetahui mekanisme hepatotoksisitas yang disebabkan oleh obat-obatan seperti isoniazid, ibuprofen, amoksisilin-klavulanat, dan parasetamol. Penelitian ini merupakan analisis deskriptif kualitatif dengan sumber data berupa tinjauan pustaka yang komprehensif dan mendalam. Hasil penelitian menunjukkan bahwa INH, parasetamol, dan amoksisilin-klavulanat memiliki efek hepatotoksik yang sama, yaitu penurunan kadar GSH di hati. Sementara itu, INH dan ibuprofen mempunyai efek toksik yang mempengaruhi terjadinya apoptosis atau kematian sel nekrotik
A SYSTEMATIC REVIEW OF THE USE OF ARTIFICIAL INTELLIGENCE (VOICE ASSISTANCE) TO IMPROVE MEDICATION COMPLIANCE IN BLIND PATIENTS WITH TUBERCULOSIS Renaldi, Fransiskus Samuel; Pangeran, Khrisna
Jurnal Farmasi Kryonaut Vol 5 No 2 (2026): JFK
Publisher : LPPM STIKES BULELENG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59969/jfk.v5i2.196

Abstract

Tuberculosis remains a major infectious disease worldwide, with medication non-adherence a critical barrier to successful treatment. Patients with visual impairments face additional challenges in medication management due to their inability to read medication labels, increasing the risk of medication errors and non-adherence. This systematic review analyzed 23 studies on the application of artificial intelligence (AI) to improve medication adherence in tuberculosis (TB) patients, with a particular focus on the potential of AI voice assistance for visually impaired patients. Results showed that AI such as machine learning (ML), natural language processing (NLP), and computer vision effectively improved the accuracy of drug resistance prediction (>90%) and adherence by up to 32%, although challenges such as algorithm bias, data privacy, and geographic accessibility remained significant. For visually impaired TB patients, voice technologies such as Google Assistant or Alexa offer non-visual solutions through personalized reminders, text-to-speech pill recognition (85-95% accuracy), and intake confirmation, overcoming the limitations of visual-dependent video-observed therapy (VDOT). Integrating voice AI with digital therapies (DTx) has the potential to improve autonomy and clinical outcomes in resource-limited settings, but requires empirical randomized controlled trials (RCTs) and user training. This study recommends the development of a culturally based hybrid voice therapy-VDOT for Indonesia
Co-Authors Hari Purnomo Renaldi, Fransiskus Samuel Saputra, Rifaldi Tatang Irianti