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All Journal Jurnal Tumbuhan Obat Indonesia Biota Majalah Obat Tradisional INDONESIAN JOURNAL OF PHARMACY Journal of Islamic Pharmacy Science and Technology Indonesia Jurnal Farmasi Sains dan Komunitas Journal of Islamic Medicine Jurnal Biolokus: Jurnal Penelitian Pendidikan Biologi dan Biologi Pharmed: Journal of Pharmaceutical Science and Medical Research Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Pharmademica: Jurnal Kefarmasian dan Gizi Jurnal Sains dan Kesehatan
Weka Sidha Bhagawan
Universitas PGRI Madiun
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health

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The effect of genitri (Elaeocarpus ganitrus) in leukocytes profile of wistar rats as a prospective immunomodulatory agent Primiani, Cicilia Novi; Pujiati, Pujiati; Bhagawan, Weka Sidha; Waris, Waris; Krisnamurti, Gabriella Chandrakirana
Jurnal Biolokus : Jurnal Penelitian Pendidikan Biologi dan Biologi Vol 8, No 1 (2025): June
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/biolokus.v8i1.3987

Abstract

Immunomodulator is an agent to activate and modulate the immune response. It is one of the approaches to prevent chronic disease and maintain homeostasis. Recently,  plant phytochemicals have been developed as prospective immunomodulatory agents. Genitri (Elaeocarpus ganitrus), a local plant cultivated in Indonesia, exhibited various biological properties and potential as an immunomodulatory agent. This study aims to identify the potency of genitri as immunomodulatory agent through leukocyte profiling. Genitri leaf (P1), seed (P2), and fruit (P3) were prepared as powder and administered to male wistar rats weighted 250-300 g twith six replications for 28 days. The total leukocytes were  counted and leukocytes were being  profiled following the treatment with genitri powder then  compared with control treatment (P0). The immunomodulatory activity of genitri was shown by the increased leukocytes count following treatment. Based on data from the treatment group (P2), genitri seeds were able to increase leukocytes by 10595.83 cells/µl. The highest total leukocytes were found in treatment P2 with total leukocytes 10595.83 cells/µl. Based on the leukocyte profile, lymphocytes and monocytes were found to be the highest in all treatments. Treatment with genitri was able to stimulate an increase in lymphocytes and monocytes. An increase in total leukocytes given genitri is an indication of an increased immune response.
Class Balancing and Parameter Tuning of Machine Learning Models for Enhancing Aphrodisiac Herbal Plant Classification Jayadi, Puguh; Bhagawan, Weka Sidha; Aldida, Jofanza Denis
Journal of INISTA Vol 7 No 2 (2025): May 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1832

Abstract

Herbal plants with aphrodisiac claims are an important part of traditional medicine that continues to evolve within the modern scientific context. However, the classification process for these plant claims is often done manually and subjectively, necessitating a more objective, data-driven approach. Artificial Intelligence (AI) and its various derivatives, such as Machine Learning, present a reliable solution for several related classification studies. The primary challenge in classification lies in data class imbalance and selecting the optimal model parameters. This study proposes an integrated approach that utilizes machine learning algorithms, including Random Forest, Support Vector Machine (SVM), and XGBoost, combined with SMOTE class balancing techniques and hyperparameter tuning through Grid Search, Random Search, and Bayesian Optimization. Experiments were conducted on a dataset of herbal plants with attributes and labels of aphrodisiac claims, and the results were evaluated based on accuracy, precision, recall, and execution time. The findings indicated that the combinatorial approach significantly improved model performance compared to the basic approach. Among the hyperparameter tuning results, the SVM method achieved the best accuracy (0.889) and precision (0.889). This research contributes to the development of an AI-based classification system in the field of ethnopharmacology. It can serve as a reference for creating scientifically validated databases of herbal plants.
Anticancer Efficacy of a Combination of Curcuma longa L. Rhizome and Annona muricata L. Leaf Extracts Against T47D Cells Pebriani, Sonia Ardilla; Bhagawan, Weka Sidha; Prastiyanto, Muhammad Evy; Rukmana, Rizal Maarif; Pratiwi, Rarastoeti; Suhendi, Andi
Science and Technology Indonesia Vol. 11 No. 2 (2026): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.2.405-419

Abstract

Breast cancer remains one of the most prevalent malignancies worldwide. The use of combinations of natural products is increasingly recognized as a promising strategy for cancer treatment. Turmeric rhizome (Curcuma longa L.) and soursop leaves (Annona muricata L.) are two natural materials known for their anticancer potential. This study aimed to identify the phytochemical constituents of turmeric rhizome and soursop leaf extracts and to evaluate the anticancer activity of their combination against T47D breast cancer cells. Turmeric and soursop leaves were extracted with 96% ethanol using the maceration method. Raw material standardization was performed by measuring water content, ethanol-soluble content, and water-soluble content. The extract was standardized by thin-layer chromatography. T47D and Vero cell lines were used in this study. Compound identification was performed using Liquid Chromatography–Quadrupole Time-of-Flight Mass Spectrometry (LC/Q-TOF-MS). The candidate combination ratio was determined using the simplex lattice design approach in Design Expert 13 software. Cytotoxicity and antiproliferative effects were assessed using the MTT assay, while antimetastatic potential was evaluated through the scratch assay. Apoptosis and cell cycle arrest were analyzed by flow cytometry. IC_50 data were analyzed using one-way ANOVA, and post hoc testing was performed using Tukey’s multiple-comparison test. Antiproliferation and scratch assay data were analyzed using two-way ANOVA followed by the Bonferroni test. Apoptosis and cell cycle assay data were analyzed using one-way ANOVA followed by the Tukey post hoc test. Phytochemical profiling indicated the existence of fifteen chemicals in both turmeric rhizome and soursop leaf extracts. The candidate combination ratio of turmeric rhizome to soursop leaf extracts was 1:21, exhibiting cytotoxic activity with an IC50 value of 32.2 ± 2.5 ug/mL. The combined extract was associated with antiproliferative, anti-migratory, and pro-apoptotic responses and induced G2/M phase cell cycle arrest in T47D cells.
Tumbuhan Etnofarmakologi Antiinflamasi dan Analgesik di Suku Samin, Jawa Timur: Studi Literatur Kinasih, Meita Dewi; Suproborini, Arum; Bhagawan, Weka Sidha
Journal of Islamic Pharmacy Vol 10, No 2 (2025): J. Islamic Pharm.
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jip.v10i2.36036

Abstract

Peradangan dan nyeri merupakan masalah kesehatan yang banyak dialami masyarakat dan sering kali ditangani dengan obat antiinflamasi non-steroid (OAINS) yang berisiko menimbulkan efek samping. Oleh karena itu, diperlukan alternatif pengobatan yang lebih aman, salah satunya melalui tanaman obat. Suku Samin di Jawa Timur dikenal masih mempertahankan tradisi pengobatan menggunakan tanaman herbal. Studi ini bertujuan untuk mengkaji penggunaan tumbuhan etnofarmakologis oleh masyarakat Samin sebagai agen antiinflamasi dan analgesik berdasarkan data Riset Tumbuhan Obat dan Jamu (RISTOJA) 2015. Metode penelitian menggunakan pendekatan deskriptif dengan analisis data sekunder, validasi ilmiah aktivitas farmakologis melalui telaah pustaka dari artikel ilmiah terindeks, serta validasi taksonomi melalui World Flora Online (WFO). Hasil studi menunjukkan terdapat tujuh spesies tumbuhan dari tujuh famili berbeda yang digunakan oleh masyarakat Samin untuk mengatasi peradangan dan nyeri, seperti Anredera cordifolia, Blumea balsamifera, Datura metel, Muntingia calabura, dan Sonchus arvensis. Lima dari tujuh spesies telah terbukti secara ilmiah memiliki aktivitas antiinflamasi dan analgesik melalui mekanisme penghambatan enzim siklooksigenase (COX), lipooksigenase (LOX), dan xantin oksidase, serta penurunan sitokin proinflamasi.
Co-Authors . Waris Agnis Pondineka Ria Aditama Aissyah Nurfatma Aldida, Jofanza Denis Amaranto, Jennifer Andi Suhendi Anik Listiyana Annisa, Rahmi Arum Suproborini Arum Suproborini Asri Wido Mukti Asti Rahayu Atiqah, Sri Nur Atiza Fajrin Maulidya Bhagawan, Weka Burhan Ma'arif Burhan Ma’arif Cicilia Novi Primiani Cicilia Novi Primiani Devi Safrina Dewi Ratih Tirto Sari Dian Susanti Donato, Percival Faisal Akhmal Muslikh Fidia Rizkiah Inayatilah Firsta Roisatul Islamiyah Hadya, Chorida Muhjatul Heni Pujiastuti Hison, Jade Huwaida, Fadhila Isma Irawati, Santia Izza Nailia Shirvi Jauhar Maknun Septaza Rahmandika Jayadi, Puguh Kinasih, Meita Dewi Krisnamurti, Gabriella Chandrakirana Kurniawan Hidayat Perdana Putra Lestari, Nia Ayu Lisniawati Lisniawati M Bakti Samsu Adi Ma'arif Z.A, Burhan Ma'arif, Burhan Ma'arif, Burhan Mandalawati, Titin Maritha, Vevi Mochammad Amrun Hidayat Muhammad Evy Prastiyanto Norachuriya, Zedny Nur Rahmawati Wijaya Nurfatma, Aissyah Octavia, Nur Ika Pebriani, Sonia Ardilla Peria, Jo Prasetyo, Yona Prastiyanto, Muhammad Evy Primiani, Cicilia Novi Primiani, Cicilia Novi Primiani Pujiati Pujiati Pujiati Putra, Aditya Dwi Permana Rahmawati, Eka Diana Rahmi Annisa Ramadhani D.A., Ria Ramdhani, Alfina Widya Rarastoeti Pratiwi Retno Susilowati Ria Ramadhani Dwi Atmaja Rina Nurmaulawati Rivera, Alice Rizal Maarif Rukmana, Rizal Maarif Rizkiah, Fidia Roihatul Mutiah Roihatul Mutiah Safitri, Rusiana Yulia Santos, Gema Silfarohana, Rantika Suproborini, Arum Tanghal, Analiza Taufik, Imam Teguh Pamungkas, Rizki Putra Ubaidillah Abdel Barsyaif Yanuar Ashari Cahyaningrum Yaya Sulthon Aziz Yen Yen Ari Indrawijaya Zatalini, Dioni Zatalini, Dioni Fadia