Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia

main
Website

Published by Badan Analisis dan Pengembangan Ilmiah Nasional ISMKI

ISSN : 23026391 EISSN : 27211924 DOI : https://doi.org/10.53366/jimki

Core Subject : Health,

Health Professions Medicine & Pharmacology Public Health

Jurnal Ilmiah Mahasiswa Kedokteran Indonesia (JIMKI) adalah jurnal yang dikelola oleh Badan Analisis dan Pengembangan Ilmiah Nasional (BAPIN). JIMKI berfokus menjadi wadah untuk publikasi penelitian mahasiswa kedokteran.

Arjuna Subject : Kedokteran - Kedokteran (Lain-Lain)

Articles 20 Documents

1 2

Search results for , issue "Book of Abstrack RCIMS 2025" : 20 Documents clear

Efektivitas Pemberian Polydeoxyribonucleotide (PDRN) dari Salmon Salar Melalui Microneedling vs Serum Topikal untuk Terapi Anti-Aging Hanifah, Asma Muthmainah; Fadhlillah, Jihan; Hanifah, Maryam
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.963

Penggunaan Polydeoxyribonucleotide (PDRN) marak diperbincangkan sebagai tren perawatan kulit anti-penuaan. Pada awalnya, perawatan wajah dengan bahan PDRN lebih umum dilakukan di klinik kecantikan menggunakan teknik microneedling. Namun, akhir-akhir ini industri kecantikan berusaha mengembangkan PDRN versi pelembab yang lebih mudah digunakan sehari-hari dan dikenal dengan pelembab yang memiliki kandungan DNA Salmon. PDRN diketahui berperan dalam aktivasi reseptor adenosine A2A yang dapat merangsang sintesis kolagen, mempercepat perbaikan jaringan, serta memberikan efek anti-inflamasi. Penelitian ini bertujuan untuk membandingkan efektivitas dan keamanan pemberian PDRN melalui teknik microneedling dan aplikasi topikal terhadap tanda-tanda penuaan kulit metode yang digunakan berupa tinjauan sistematis terhadap studi eksperimental dan klinis yang melaporkan efek kedua metode pada penyembuhan luka, perbaikan tekstur, elastisitas kulit, dan efek samping. Hasil analisis menunjukkan bahwa kedua metode sama-sama efektif meningkatkan kualitas kulit dengan efek samping minimal. Microneedling meningkatkan penetrasi intradermal, mempercepat regenerasi, serta mempercepat sintesis kolagen dan elastin, sedangkan aplikasi PDRN topikal memberikan efek sinergis dalam mengurangi stres oksidatif serta memperbaiki warna kulit, terkhusus bila dikombinasikan dengan penggunaan vitamin C atau niacinamide. Secara keseluruhan, kedua metode aman dan efektif untuk terapi anti-aging, tetapi metode microneedling menawarkan hasil regenerasi kolagen yang lebih cepat sementara aplikasi serum PDRN secara topikal menjadi alternatif non-invasif praktis. Pemilihan metode perawatan menggunakan PDRN lebih baik disesuaikan dengan preferensi, kondisi kulit, dan toleransi nyeri pasien terhadap prosedur.

Effectiveness of Bacillus Calmette–Guérin (BCG) Vaccine as Post-exposure Prophylaxis Against Leprosy Among Household Contacts: A Systematic Review Habiburrahman Al Ghifari; Yasmin Mazaya Bil Haqq; Atania Ilma
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.964

Introduction: Indonesia remains one of the top three countries with the highest leprosy burden. Current prevention focuses mainly on early detection. However, limited public awareness allows continued transmission, especially among household contacts (HHCs). Considering WHO’s 2030 “Toward Zero Leprosy” goal, post-exposure prophylaxis (PEP) with vaccines represents a promising strategy. Although no specific leprosy vaccine exists, Bacillus Calmette–Guérin (BCG) provides cross-protection due to antigenic similarity with Mycobacterium leprae. Its effectiveness is assessed through new leprosy cases and IgM anti-phenolic glycolipid-1 (PGL-1) antibody levels. Therefore, this systematic review aims to evaluate the effectiveness of BCG vaccination as post-exposure prophylaxis against leprosy among household contacts. Methods: Databases including PubMed, Springer, Nature, Frontier, Epistemonikos, ScienceDirect, BMJ, Sage, and Karger were searched. From 6,303 records, seven studies met inclusion criteria. Eligible studies were RCTs and cohort studies (2015–2025) on BCG-based PEP among household contacts. Non-English, in vitro, review, and non-field case reports were excluded. Study quality was assessed using JBI Critical Appraisal tools.Results and Discussion: Seven studies showed that BCG vaccination reduced leprosy incidence by 57–75%. The strongest protection occurred with BCG revaccination (59–95%), while combining BCG with single-dose rifampicin (SDR) achieved about 80% efficacy. Immunologically, vaccinated contacts showed lower IgM anti-PGL-1 levels, indicating a protective immune response. This indicates the vaccine’s ability to simulate a protective immune response that suppresses the humoral response against Mycobacterium leprae.Conclusion: BCG vaccination provides substantial protection as post-exposure prophylaxis against leprosy, while its revaccination or combination with SDR further strengthens preventive efficacy among household contacts.

Stem Cell-based Therapeutic Approaches For Thalassemia: A Systematic Review Rahayaan, Manuela; Hi Rauf, Siti Nuraini; Meralda, Arla Sindu
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.965

Thalassemia is a hereditary hematologic disorder characterized by defective hemoglobin synthesis, resulting in chronic anemia and rekated systemic complications, which are often managed through lifelong blood transfusions and iron chelation therapies. Recent advances in cell-based therapeutic strategies, particularly hematopoietic stem cell ( HCS ) gene therapy, have demonstrated substantial potential in addressing the underlying genetic defects and improving erythropoiesis. This systematic review evaluates preclinical and clinical studies, from PubMed, ScienceDirect, SCOPUS, focusing on the efficacy of HSC gene therapy and other immunomodulatory cellular approaches in thalassemia models. Studies involving thalassemic mice indicated that HCS-based gene therapy significantly enhanced ?-globin expression and restored normal red blood cell phenotypes, suggesting functional hematologic improvements. Complementary strategies involving regulatory T cells (Tregs) and engineered immune cells, including CAR-T and NK cells, offer additional promise for immune modulation, transplant tolerance, and the reduction of therapy-related complications. Despite these advances, challenges including limited cell availability, complex ex vivo culture conditions, immune rejection, and scalability remain. Innovations in genome editing, engineered TCR/CAR technology and CRISPR/Cas-edited iPSC-derived cells may further improve specificity, stability, and efficacy. Collectively, cell-based therapies offer a transformative approach for thalassemia by correcting the underlying genetic defect and modulating immune responses, with the potential to reduce dependence on conventional transfusions and enhance quality of life. Further clinical studies are required to establish long-term safety, feasibility and therapeutic efficiency in human patients

From Promise to Proof: Revealing the Comparative Performance of RSV Vaccines Through Network Meta-Analysis Madani, M. Iyad; Haq, Hilmi Amirul; Abdullah, Bryan Naufal
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.969

Introduction: There is no consensus on the optimal vaccine platform for preventing respiratory syncytial virus (RSV) infection. Recent advances in RSV vaccine development aim to improve efficacy and safety across various platforms. This study aimed to compare the efficacy and safety of available RSV vaccines using a network meta-analytic approach to identify the most effective strategy for RSV prevention.Method: A systematic search was performed in PubMed, ScienceDirect, Cochrane, and Scopus up to November 2025 to identify randomized controlled trials (RCTs) of RSV vaccines in healthy populations. Ten RCTs were included, evaluating adenovirus vaccine, subunit vaccine, mixed subunit and adenovirus vaccine, subunit vaccine with AS01E, and placebo controls were included. Analyses were conducted in RStudio using the netmeta package. Risk of bias was appraised using RoB 2.0 and certainty of evidence was assessed with CINeMA and the GRADE frameworks. Result and Discussion: This analysis demonstrated that the subunit vaccine with AS01E possesses superior efficacy in reducing RSV-related respiratory illness compared to placebo (RR = 0.22, 95% CI: 0.16 -- 0.31). This finding was reinforced by ranking analysis, which identified this intervention as the most effective (P-score = 0.916). No significant differences in safety profiles were observed across interventions, although precision was limited by wide confidence intervals and substantial heterogeneity. Conclusion: Subunit vaccines with AS01E demonstrated the highest efficacy for RSV prevention. However, their safety profile has not yet been clearly defined, and further research is needed to assess long-term effectiveness and monitor potential late adverse effects.

How Gut Microbiome Signatures Shape Metformin Response and GI Intolerance in Type 2 Diabetes Sari, Lia Nur Indah; Idrus, Citra Lorenza
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.973

Metformin is first-line therapy for type 2 diabetes mellitus (T2DM), yet interindividual variability in glycaemic response and frequent gastrointestinal (GI) intolerance are not fully explained by pharmacogenomics alone. This review synthesised evidence that links baseline gut microbiome composition to metformin effectiveness and tolerability. English-language, open-access Human observational studies from the past decade were identified in PubMed, ScienceDirect, and Google Scholar if they reported stool- or rectal sample–derived microbiome profiles alongside glycaemic outcomes (e.g., HbA1c change) or GI adverse events, dose modification, or discontinuation, with standardised extraction of design, population, -omics methods, and outcome definitions. Few eligible studies met criteria; across prospective and cross-sectional cohorts, higher alpha diversity and specific taxa—including Akkermansia and Streptococcus—were associated with increased GI adverse events to metformin, while distinct microbial signatures differentiated glycaemic responders from non-responders. A small multi-omic analysis suggested that shifts in bile acid–related bacteria together with down-regulation of anti-inflammatory host genes may underlie intolerance. Integrative models combining pharmacogenomic variants with microbiome features were rarely evaluated, and head-to-head comparisons with pharmacogenomics-only models are lacking. Overall, baseline gut microbiome signatures correlate with variability in metformin responses and GI intolerance in T2DM, underscoring the need for larger, standardised multi-omic cohorts to quantify the incremental predictive value of microbiome data for personalised metformin theraphy.

Genetic Determinants Of Helicobacter Pylori Virulence And Gastric Cancer Suspectibility: A Systematic Review Muhammad Hisyam Dzaki Alimuddin; Felicia Virginia Thios; Nabila Hana Zahirah Amri
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.974

Introduction: Gastric cancer (GC) remains a leading cause of cancer mortality, with Helicobacter pylori (H. pylori) infection recognized as a major carcinogen. Virulence genes such as cagA, cagE, and vacA, along with specific cag pathogenicity island (PAI) polymorphisms, are implicated in gastric mucosal injury and malignant transformation. This systematic review aimed to identify H. pylori genotypes associated with increased GC risk. Methods: Following PRISMA 2020 guidelines, a systematic search was conducted in PubMed, ProQuest, and ScienceDirect. Eligible studies included case-control or cross-sectional designs assessing H. pylori virulence genotypes among GC and non-GC patients. Data were extracted and summarized descriptively based on odds ratios (ORs) and genotype distributions. Results and Discussion: From 4,359 screened records, five studies met inclusion criteria. The vacA c1 allele was linked to a higher GC risk (OR = 3.14, 95% CI 1.08–9.09), and cagA+cagE co-expression increased susceptibility (OR = 0.46, 95% CI 0.24–0.86). In Japan, East-Asian cagA with vacA s1m1 showed the strongest association (OR = 6.68, 95% CI 1.73–25.8), while multiple cagA EPIYA-C motifs in Brazilian isolates tripled GC risk (OR = 3.08, 95% CI 1.74–5.45). Latin American data identified cagA and cagC variants significantly enriched in GC isolates. These findings indicate that cagA and vacA synergistically drive epithelial disruption and inflammation, underpinning their oncogenic potential. Conclusion: CagA, vacA, and cagE genotypes represent key H. pylori virulence predictors of GC. Integrating genotypic profiling into clinical risk assessment could improve early detection and targeted prevention strategies.

In Silico Design And Immunoinformatics Evaluation Of A Multi-Epitope Vaccine Candidate Against Mycobacterium Tuberculosis Maulana, Muhammad Anthony; Wasisto, Matias Aryasatya; Sricahyonoaji, Hendro Kusumo
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.977

Tuberculosis, caused by Mycobacterium tuberculosis, continues to be a major global health threat, causing 1.3 million deaths annually despite the availability of the Bacillus Calmette–Guérin (BCG) vaccine, which offers variable efficacy in adults. The emergence of multidrug-resistant strains further highlights the need for novel vaccine strategies. In this study, an in silico immunoinformatics approach was employed as a cost-effective and safe method to design a multi-epitope vaccine candidate with enhanced immunogenic potential. Epitope prediction was performed for major M. tuberculosis antigens (Ag85 complex, CFP-10, HspX, TB10.4) using IEDB servers, yielding 95 CTL and 39 HTL epitopes. Epitopes were screened for high antigenicity (VaxiJenv2.0 > 0.4), non-allergenicity (AllerTOPv2.1), and non-toxicity (CSM-Toxin). Selected epitopes were combined using suitable linkers to construct the vaccine, and physicochemical properties were assessed with ProtParam. The 3D model was predicted and refined using I-TASSER and GalaxyRefine, validated by SAVESv6.1. The construct displayed global and Southeast Asian HLA coverages of 58.57% and 49.21%, respectively, indicating sufficient potential for global vaccine deployment. Structural analysis indicated high stability (instability index 33.27) and thermostability (aliphatic index 65.94). Molecular docking with TLR4 displayed stable interaction (lowest energy weighted score -976.8) and immune simulation displayed efficient humoral and cellular response, indicated by peak IgM and IgG titers following simulated injections, adequate activations of CTLs and HTLs, and progressive memory cell development. This study presents a promising multi-epitope vaccine candidate against M. tuberculosis. Further in vitro and in vivo validation is necessary to confirm its immunogenic potential.

Development of an Artificial Intelligence–Based Portable Prototype for Early Tuberculosis Detection Using Exhaled Breath Analysis and IoT Integration: A Feasibility Study Naufal, Muhammad Alif; Nusair, Rafie; Duta, Teuku Fais
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.978

Introductions: Tuberculosis (TB) remains a major global health problem and has become one of the world’s leading infectious diseases, particularly affecting populations in low- and middle-income countries. Despite advancements in molecular testing, the accessibility, cost, and time requirements of conventional diagnostics limit early case detection. Exhaled breath analysis provides a promising non-invasive approach through the identification of volatile organic compounds (VOCs) produced during TB infection. This study aimed to develop and evaluate a portable diagnostic system that integrates VOC sensing, Artificial Intelligence (AI), and Internet of Things (IoT) technologies to enhance early TB screening in community and primary healthcare settings. Methods: A metal oxide semiconductor gas sensor array connected to an ESP32-S3 microcontroller was employed to capture VOC profiles from 33 participants (17 TB-confirmed patients and 16 healthy controls). The acquired data were preprocessed, reduced, and classified using Principal Component Analysis. Several machine learning algorithms, including Support Vector Machines (SVM), Random Forest, Gradient Boosting, and Artificial Neural Networks (ANN), were trained and validated to develop a TB recognition model. Results and Discussion: The ANN achieved the best performance, with an accuracy of 79%, sensitivity of 78%, specificity of 80%, and an AUC of 0.84. IoT integration enabled real-time data transfer and cloud-based visualization, demonstrating scalability and potential use in resource-limited settings. Conclusion: This portable AI-based breath analysis system offers a rapid, affordable, and non-invasive approach for early TB detection. With further validation, it might complement existing diagnostics and strengthen global TB elimination efforts.

Comparing Genotype-guided, Platelet-function–guided, Universal Potent, And Universal Clopidogrel Antiplatelet Therapy Strategies Post-PCI: A Systematic Review And Network Meta-analysis Eleeas, Abraham Tory; Athaseno, Aryagani Manggala; Tambunan, Alphatar Magnus Jonathan
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.979

Optimal P2Y12 inhibitor selection after percutaneous coronary intervention (PCI) is pivotal, yet high-quality evidence remains limited, creating uncertainty for routine practice. This paper synthesizes evidence comparing four post-PCI antiplatelet therapy strategies: genotype-guided (CYP2C19-directed), platelet-function-guided, universal potent P2Y12 inhibition, and universal clopidogrel. Comprehensive searches of three databases were conducted to identify eligible randomized controlled trials. Study quality was appraised using Cochrane RoB 2.0, while evidence certainty was assessed with the GRADE framework. A frequentist NMA was performed using a random-effects model. Interventions were compared using risk ratios (RRs) with 95% confidence intervals (CIs) for binary clinical outcomes (major adverse cardiovascular events, bleeding, and stent thrombosis) and mean differences (MDs) with 95% CIs for the continuous pharmacodynamic outcome of platelet reactivity. Cost outcomes, when reported, were synthesized narratively. The comparative performance of each intervention was summarized and ranked using the Surface Under the Cumulative Ranking Curve (SUCRA). Findings revealed a distinct hierarchy among antiplatelet therapy strategies. The universal potent P2Y12 inhibitor strategy consistently ranked highest for preventing ischemic events but was associated with a significantly increased risk of major bleeding. Conversely, the universal clopidogrel strategy demonstrated the most favorable safety profile for bleeding but the lowest ischemic efficacy. This analysis confirms that while universal potent and clopidogrel strategies represent extreme ends of the efficacy-safety spectrum, guided strategies bridge the gap by delivering the ischemic protection of potent therapy while reducing the risk of bleeding, demonstrating superior clinical benefit. Keywords: CYP2C19, Genotype-Guided Therapy, P2Y12 Inhibitors, Percutaneous Coronary Intervention, Platelet Function Testing

Causal Inference Between Metabolic Traits and Ovarian Cancer Subtypes from Genome-Wide Association Data: A Mendelian Randomization Analysis Wiradikarta, Josia Nathanael; Almeira, Vindasya; Senen, Thalita Nadira Izza
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Book of Abstrack RCIMS 2025
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.vi.981

Metabolic disorders have been linked to ovarian cancer risk, but the causality and subtype specificity remain unclear. This study applied a computational genetics approach using two-sample Mendelian randomization (MR) to identify potential causal effects of metabolic traits on distinct ovarian cancer histotypes. Genome-wide association summary statistics for adult female body mass index (BMI), fasting glucose, glycated hemoglobin (HbA1c), LDL, and HDL cholesterol were obtained from the IEU OpenGWAS database. Summary-level data for ovarian cancer subtypes (endometrioid, mucinous, clear cell) were analyzed as outcomes. MR analyses were conducted to assess causal relationships using inverse variance weighted, MR-Egger, weighted median, and weighted mode methods, with sensitivity tests for pleiotropy and heterogeneity. Higher BMI was causally associated with increased risk of endometrioid ovarian cancer (MR-Egger OR = 5.56, p = 0.0009; IVW OR = 1.65, p = 0.0056). Elevated fasting glucose increased the risk of mucinous ovarian cancer (OR = 2.10, p = 0.035), and higher HbA1c showed a positive association (OR = 1.32, p = 0.015). LDL cholesterol was modestly associated with mucinous ovarian cancer (OR = 1.25, p = 0.041). Interestingly, higher HDL cholesterol was also linked to increased risk of endometrioid (OR ? 1.27, p = 0.035) and clear cell ovarian cancers (OR = 1.20, p = 0.040). Our analysis revealed significant findings, highlighting distinct metabolic pathways contributing to ovarian cancer subtypes. These results utilize genetic epidemiology and computational biology approaches in uncovering mechanistic links between metabolism and oncogenesis, supporting future precision prevention strategies.

Page 2 of 2 | Total Record : 20

1 2

Filter by Year

2025 2025

Filter By Issues

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Norbertus Marcell Prayogi

Contact Email
editor.jimki.bapin@gmail.com

Phone
+6281372545321

Journal Mail Official
editor@jimki.bapin.or.id

Editorial Address
Jl. Dr. G.S.S.Y. Ratulangi No. 29, Menteng, Jakarta Pusat 10350

Location
Kota adm. jakarta pusat,

Dki jakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Norbertus Marcell Prayogi

Contact Email editor.jimki.bapin@gmail.com

Phone +6281372545321

Journal Mail Official editor@jimki.bapin.or.id

Editorial Address Jl. Dr. G.S.S.Y. Ratulangi No. 29, Menteng, Jakarta Pusat 10350

Location Kota adm. jakarta pusat, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Norbertus Marcell Prayogi

Contact Email
editor.jimki.bapin@gmail.com

Phone
+6281372545321

Journal Mail Official
editor@jimki.bapin.or.id

Editorial Address
Jl. Dr. G.S.S.Y. Ratulangi No. 29, Menteng, Jakarta Pusat 10350

Location
Kota adm. jakarta pusat,

Dki jakarta

INDONESIA