cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yuliansyah
Contact Email
yuliansyah@feb.unila.ac.id
Phone
+6282179769602
Journal Mail Official
admin@penerbitgoodwood.com
Editorial Address
Z.A. Pagar Alam Street No. 57, Rajabasa, Bandar Lampung City - Indonesia
Location
Kota bandar lampung,
Lampung
INDONESIA
Jurnal Ilmu Medis Indonesia
Published by Goodwood Publishing
ISSN : -     EISSN : 28071697     DOI : https://doi.org/10.35912/jimi
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health
Published by Penerbit Goodwood, Jurnal Ilmu Medis Indonesia (JIMI) is a peer-reviewed scholarly journal that publishes articles in the field of medical sciences in Indonesia. JIMI welcomes researchers, academicians, as well as practitioners to submit well-written manuscripts discussing contempory and interesting medical issues aimed at mediating the development of Indonesian medical sciences through a quality scientific publication.
Arjuna Subject : Kedokteran - Kedokteran (Lain-Lain)
Articles 49 Documents
 1   2   3   4   5 
Studi In Silico Senyawa Daun Salam Sebagai Antidiabetes Melalui Mekanisme Inhibitor SGLT-2 Amin, Saeful; Muhtar, Nenden Laila Nurafifah; Sumardiawan, Dhiyaa Kaamilah; Yulianingsih, Tipani Sri Yulianingsih
Jurnal Ilmu Medis Indonesia Vol. 4 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i1.4539

Abstract

Purpose: This study aims to investigate the potential of bioactive compounds from Indonesian bay leaf (Syzygium polyanthum) as Sodium-Glucose Cotransporter-2 (SGLT-2) inhibitors for the treatment of diabetes mellitus using an in silico approach. Methodology/approach: The methodology included identifying bioactive compounds from bay leaf, preparing the SGLT-2 protein structure, molecular docking using Molegro Virtual Docker, molecular dynamics simulations with YASARA Dynamics, and data analysis focusing on rerank scores and RMSD (Root Mean Square Deviation) values. Result/findings: The in silico study revealed that several bioactive compounds in bay leaf, such as flavonoids and phenolic acids, exhibit a strong affinity and specific interaction with SGLT-2, which yielded more negative rerank scores than empagliflozin, indicating stronger binding affinity. Molecular dynamics simulations confirmed the stability of ligand-protein binding, particularly for 3,4-dicaffeoylquinic acid. Conclusions: Bay leaf compounds like flavonoids and phenolic acids showed strong binding to SGLT-2, with better rerank scores than empagliflozin. Molecular dynamics confirmed stable interactions, especially for 3,4-dicaffeoylquinic acid. Limitations: This study is limited by variations in dosage and treatment duration in existing research, the use of animal models that do not fully replicate human type 2 diabetes, and the need for further in vitro and in vivo validation. Contribution: This study supports bay leaf as a potential antidiabetic phytopharmaca via SGLT-2 inhibition. In silico methods aid drug discovery and align with evidence of its blood sugar-lowering effects. Further in vitro and in vivo studies are needed to confirm efficacy and safety.
Evaluasi Potensi Antikanker Senyawa Daun Kelor melalui Kimia Medisinal Amin, Saeful; Pujiyani, Delya; Rusiyana, Nisrina Putri; Azzahra, Shafa Meyliana
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4544

Abstract

Purpose: This study aimed to assess the potential of bioactive compounds found in moringa (Moringa oleifera) leaves as agents to treat breast cancer using a medicinal chemistry approach. Methodology/approach: This study was conducted using a descriptive and qualitative literature review approach, utilizing data sources from various relevant scientific journals published in the last five years. Results/findings: This study showed that four key compounds, moringin, kaempferol, quercetin, and nanoquercetin, have significant biological potential in inhibiting the growth and spread of breast cancer cells through various molecular mechanisms. The combination of these compounds provides a synergistic and selective therapeutic approach and shows potential in the development of more effective cancer therapies with minimal side effects. However, challenges related to pharmacokinetic limitations, especially in quercetin, can be overcome through technological innovations, such as nano-based delivery systems. Conclusions: This study concludes that bioactive compounds in Moringa oleifera leaves possess promising anticancer properties against breast cancer through diverse molecular mechanisms. Their synergistic potential highlights the relevance of natural compounds in the development of selective and effective cancer therapies. Limitations: The study was limited by its reliance on secondary data from literature sources and lack of experimental validation. Additionally, pharmacokinetic challenges, especially for quercetin, necessitate further research on delivery system optimization. Contributions: This research adds valuable insights into the medicinal chemistry of natural compounds, particularly in the Indonesian context. It also encourages the development of innovative drug delivery technologies to enhance the clinical applications of plant-derived anticancer agents.
Potensi Senyawa Turunan Terpenoid sebagai Agen Anti-Kanker Amin, Saeful; Supriatna, Galuh Taruna; Ardian, Mohamad Idwar; Abdurrahman, Muhammad Iqmal
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4551

Abstract

Purpose: This study aimed to analyze the potential of terpenoid derivatives as anti-cancer agents by reviewing various molecular mechanisms involved, findings from preclinical and clinical studies, and the challenges faced in their development. Methodology: A literature review approach was used, involving the collection, analysis, and synthesis of data from credible sources, to present a comprehensive understanding of the pharmacological properties and mechanisms of action of terpenoids. Critical evaluation of the selected studies was carried out to identify key findings and trends.. Results: This review shows that terpenoids have significant potential in cancer therapy through diverse molecular mechanisms, both as monotherapies and in combination with conventional treatments. Advances in drug delivery technologies, such as the use of nanoparticles and liposomes, have enhanced the stability and bioavailability of compounds, paving the way for more effective therapeutic applications. Conclusions: Terpenoid-based drug development shows strong promise in cancer treatment. Structural modifications have improved their efficacy and selectivity toward cancer cells, and innovative delivery systems have addressed challenges in bioavailability, supporting their role as safe and effective therapeutic alternatives. Limitations: This review was based on secondary data and lacked direct clinical validation. It does not provide detailed pharmacokinetic or pharmacodynamic profiles, and its potential interactions with standard chemotherapeutic agents remain underexplored. Contribution: This article synthesizes the molecular mechanisms and therapeutic potential of terpenoid derivatives as anticancer agents. This highlights the advances in delivery technologies and structural optimization, offering valuable insights for future drug development strategies.
Studi Komputasional Senyawa Flavonoid Tanaman Obat sebagai Kandidat Agen Antidiabetik Amin, Saeful; Hurry, Zulfan Alfairuz Zabbady; Sumantri, Tri Adi; Fauzi, Rifqi Ahmad
Jurnal Ilmu Medis Indonesia Vol. 4 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i1.4553

Abstract

Purpose: This study aimed to investigate the potential of natural flavonoid compounds brazilin, luteolin, and butein as antidiabetic agents by exploring their interactions with key molecular targets in type 2 diabetes mellitus. Methodology/approach: This research was conducted using a computational approach involving molecular docking and pharmacokinetic prediction. Docking simulations were performed using AutoDock Vina and PyRx to evaluate the binding affinity of the selected flavonoids to the enzymes ?-glucosidase, ?-amylase, and glucokinase. Results/findings: The results showed that All three flavonoids exhibited strong binding affinities to ?-glucosidase and ?-amylase, indicating their potential to inhibit carbohydrate-digesting enzymes. Conclutions: Flavonoids from medicinal plants have potential as natural antidiabetic agents by inhibiting glucose-metabolizing enzymes and modulating insulin pathways. Computational studies have shown strong target interactions and favorable pharmacokinetic profiles, although further in vitro and in vivo validation is needed. Limitations: The findings of this study were limited to in silico data, and further validation through in vitro and in vivo experiments is necessary to confirm their effectiveness and safety. Contribution: This research contributes to the field of pharmaceutical sciences and natural product-based drug development, providing valuable insights for researchers and healthcare professionals interested in alternative therapies for diabetes management.
Perkembangan Terkini dalam Desain Obat Berbasis Kimia Medisinal Amin, Saeful; Heryanto, Popih; Athaya, Rahil; Fitri, Nabila Ainul
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4558

Abstract

Purpose: This study aims to describe recent approaches and innovations in drug design rooted in medicinal chemistry, with particular emphasis on the contributions of computational methods and the exploration of natural compounds in the development of new drug candidates. Methodology/Approach: This literature review synthesizes current research on in silico techniques such as molecular docking, QSAR (Quantitative Structure–Activity Relationship), and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) prediction. It also examines the integration of natural product screening, synthetic compound optimization, and interdisciplinary approaches involving bioinformatics and pharmacogenomics. Results/Findings: Computational approaches have proven effective in reducing time and costs during the early phases of drug discovery. Natural products provide structurally diverse scaffolds with promising biological activities, particularly in the development of anticancer agents. The combination of medicinal chemistry with interdisciplinary fields enhances mechanistic understanding and supports the rational design of novel therapeutics. Conclusions: The convergence of computational innovation and interdisciplinary research significantly enhances the efficiency, precision, and scope of modern drug design, paving the way for more personalized and targeted therapies. Limitations: This study is based solely on secondary data from published literature and does not include empirical validation through laboratory experiments. Contribution: This review offers a comprehensive overview of emerging trends in medicinal chemistry and serves as a valuable reference for researchers, pharmaceutical scientists, and interdisciplinary teams seeking to advance drug discovery efforts.
Eksplorasi Senyawa Alami sebagai Lead Antikanker Payudara dengan Pendekatan In Silico Amin, Saeful; Azijah, Rachma Nur; Gunawan, Febrianti Rizki
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4560

Abstract

Purpose: This study aimed to explore the potential of natural compounds as lead candidates for breast cancer therapy through a medicinal chemistry framework using in silico methods, with the goal of identifying safer and more effective alternatives to conventional treatments. Methodology: A qualitative library-based research design was employed using a systematic literature review of 15 primary national and international journal articles published between 2020 and 2025. The computational tools used in the study included AutoDock Vina and PyRx for molecular docking and virtual screening, SwissADME and pkCSM for ADMET predictions, and GROMACS for molecular dynamics simulations. Results: Several natural compounds, including berberine, ellagic acid, camptothecin, and kaempferol, exhibited strong binding affinities toward key breast cancer molecular targets, such as estrogen receptor (ER), progesterone receptor (PR), HER2, and PD-L1. These compounds formed stable ligand–receptor complexes and showed favorable pharmacokinetic properties, conforming to Lipinski’s Rule of Five, thereby suggesting their viability as lead candidates for further development. Conclusions: This study highlights the promising potential of selected natural compounds as lead structures for breast cancer drug development. The integration of molecular docking, pharmacokinetic prediction, and dynamic simulation provides a robust platform for early phase drug discovery. Limitations: The primary limitation of this study is that in silico simulations do not fully capture complex biological interactions within the human body, including metabolic pathways and immune system responses. Contribution: his study contributes to the fields of medicinal chemistry and pharmaceutical sciences by offering updated insights into the utility of natural compounds as anti-breast cancer agents.
Review Artikel: Pendekatan in Silico dalam Kimia Medisinal tentang Resistensi Antibiotik Amin, Saeful; Mustafidah, Syifa; Nabila, Nazelia Saila; Maharani, Cici
Jurnal Ilmu Medis Indonesia Vol. 5 No. 1 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i1.4561

Abstract

Purpose: This study aimed to explore the utilization of in silico approaches in medicinal chemistry to address the global challenge of antibiotic resistance through faster, more efficient, and innovative drug discovery methods.. Methodology: A systematic literature review was conducted using the Google Scholar, SINTA, PubMed, and ScienceDirect databases. The selected articles highlight computational techniques such as molecular docking, machine learning, and Perturbation Theory and Machine Learning (PTML) models for the identification, screening, and optimization of novel antibiotic candidates. Results: This review reveals that in silico methods significantly accelerate the discovery of potential antibiotics, facilitate the identification of compounds with novel mechanisms of action, improve ligand–target binding predictions, and support the modulation of resistance-related gene expression. The synergy between computational simulations and experimental validation enhances the reliability and efficiency of drug development pipelines. Conclusions In silico approaches offer effective, rapid, and cost-efficient solutions for the discovery of next-generation antibiotics that play a crucial role in the ongoing battle against antimicrobial resistance. Limitations: Despite their advantages, in silico methods have limitations in accurately predicting pharmacokinetics and toxicity profiles, as well as in modelling protein flexibility and complexity of biological systems. Contribution: This study contributes to medicinal chemistry, pharmaceutical science, and biotechnology by providing an integrative framework that supports innovative and resource-efficient strategies for antibiotic development and resistance mitigation.
Potensi Senyawa Kuersetin sebagai Antikanker Payudara melalui Pendekatan Molecular Docking Amin, Saeful; Wihdatunnisa, Imelda; Aisyah, Rohmah; Kurniawan, Yoga Sugama
Jurnal Ilmu Medis Indonesia Vol. 4 No. 1 (2024): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i1.4565

Abstract

Purpose: This study aims to evaluate the potential of quercetin as an anti-breast cancer agent through a molecular docking-based literature review. Quercetin, a natural flavonoid found in various fruits and vegetables, has attracted interest due to its antioxidant, anti-inflammatory, and anticancer properties. This study focuses on its potential interaction with key molecular targets associated with breast cancer progression.. Methodology: A systematic literature review was conducted using peer-reviewed articles published between 2015 and 2024, sourced from major scientific databases such as PubMed, Scopus, and ScienceDirect. The review focused on molecular docking studies that assessed quercetin's interaction with three principal breast cancer target proteins: Human Epidermal Growth Factor Receptor 2 (HER-2), 2W3L (a mutant form of the Estrogen Receptor), and Sirtuin 1. Results: Quercetin demonstrated strong binding affinities, with docking scores ranging from -8.0 to -9.5 kcal/mol for HER-2 and 2W3L, indicating stable and favorable interactions. These interactions suggest that quercetin may interfere with breast cancer cell signaling pathways. Conclusion: The findings suggest that quercetin holds significant promise as an anti-breast cancer compound, particularly through its stable interaction with HER-2 and 2W3L. Nonetheless, further in vitro and in vivo studies are essential to validate these in silico findings and evaluate its pharmacokinetic and pharmacodynamic properties.. Limitations: This study is limited to computational data without experimental validation. Contribution: This review supports the potential of quercetin in breast cancer drug discovery and highlights the importance of structure-based drug design in identifying novel therapeutic agents.
Kontribusi Kader Posyandu dalam Intervensi Stunting: Kajian Literatur Tahun 2023–2025 Aulia, Fita Oktaviani; Dewi Purnamawati
Jurnal Ilmu Medis Indonesia Vol. 4 No. 2 (2025): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v4i2.4687

Abstract

Purpose: This research aims to examine how empowering Posyandu cadres through training in health status monitoring and nutrition counseling can contribute to reducing stunting rates among toddlers in Indonesia. Methodology/Approach: The study adopts a systematic literature review method, analyzing 35 relevant sources published between 2023 and 2025. The literature includes indexed journal articles, community service reports, government policy documents, theses, and dissertations. Databases such as Google Scholar, PubMed, DOAJ, SINTA, and Garuda Ristekbrin were used with keyword combinations like "Posyandu cadres," "cadre empowerment," "stunting prevention," and "toddler nutrition." Inclusion criteria were based on methodological quality, relevance to cadre empowerment, and contributions to the theme of stunting prevention. Thematic analysis was employed to extract key findings and identify trends and best practices. Results/Findings: The findings reveal that structured training programs, community-based education, and support from local health authorities significantly enhance Posyandu cadres’ abilities to monitor child growth and counsel families on balanced nutrition. Multisector collaboration and use of digital health tools also improve intervention efficiency. Empowered cadres play a crucial role in early detection of growth problems, improving family compliance with nutritional guidelines, and sustaining long-term stunting reduction efforts. Conclusions: Empowering Posyandu cadres is essential for effective stunting prevention. Investment in training, incentives, digital tools, and food-based local interventions should be prioritized. Limitations: The study only includes literature in Indonesian and English from the last three years and does not perform a quantitative meta-analysis. Contribution: This review offers a scientific basis for formulating community-based policies and strategies to strengthen Posyandu cadres’ capacity as frontline health workers.

Page 5 of 5 | Total Record : 49

 1   2   3   4   5 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2025): September Vol. 4 No. 2 (2025): Maret Vol. 4 No. 1 (2024): September Vol. 3 No. 2 (2024): Maret Vol. 3 No. 1 (2023): September Vol. 2 No. 2 (2023): Maret Vol. 2 No. 1 (2022): September Vol. 1 No. 2 (2022): Maret Vol. 1 No. 1 (2021): September