Journal Medical Informatics Technology

About the Journal

Journal Title	: Journal Medical Informatics Technology
Frequency	:
Prefiks DOI	: 10.37034
Online ISSN	: 2988-7003 (online)
Editor In Chief	: Prof. Dr. Ir. Dwiza Riana, S.Si, MM, M.Kom, IPU, ASEAN. Eng. []
Publishing Collaboration	: Universitas Nusa Mandiri \| SAFE-Network
Address	: Jl. Raya Jatiwaringin No.2, Jakarta-13620, Indonesia

Journal Medical Informatics Technology publishes papers on innovative applications, development of new technologies and efficient solutions in Health Professions, Medicine, Neuroscience, Nursing, Dentistry, Immunology, Pharmacology, Toxicology, Psychology, Pharmaceutics, Medical Records, Disease Informatics, Medical Imaging and scientific research to improve knowledge and practice in the field of Medical.

Scopus Citation Performance

Current Issue

Volume 4 No. 2, June 2026

Journal Medical Informatics Technology, with E-ISSN number 2988-7003 (Online - Electronic), focuses on innovative applications, development of new technologies and efficient solutions in Health Professions, Medicine, Neuroscience, Nursing, Dentistry, Immunology, Pharmacology, Toxicology, Psychology, Pharmaceutics, Medical Records, Disease Informatics, Medical Imaging, Artificial Intelligence and scientific research to improve knowledge and practice in the field of Medical.

Since June 30th, 2026, the June 2026 regular issue has been accessible online. It contains 7 original research articles, all authored or co-authored by 28 contributors from Indonesia, Malaysia and Turkey.

Published: 2026-06-30

Articles

Computational Pharmacology Approach to Identify Antidiarrheal Candidates from Eleusine indica L.: Molecular Docking Simulation and Drug-likeness Prediction Targeting 5ZHP Receptor

Faisal Akhmal Muslikh, Hang Tuah University, Indonesia

Rizki Rahmadi Pratama, Islamic University of Kalimantan Muhammad Arsyad Al Banjari Banjarmasin, Indonesia

Syahputra Wibowo, National Research and Innovation Agency, Indonesia

Yanu Andhiarto, Hang Tuah University, Indonesia

Burhan Ma’arif, Maulana Malik Ibrahim State Islamic University, Indonesia

Maximus M. Taek, Widya Mandira Catholic University, Indonesia

40-46

Abstract view: 1 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.142
- Full text
Accuracy of Clinical Coding in Cesarean Section Cases Using ICD-10 and ICD-9-CM

Gama Bagus Kuntoadi, STIKes Widya Dharma Husada Tangerang, Indonesia

Indah Kristina, APIKES Bhumi Husada Jakarta, Indonesia

Hudiyati Agustini, APIKES Bhumi Husada Jakarta, Indonesia

Rumondang Christin, STIKes Widya Dharma Husada Tangerang, Indonesia

47-56

Abstract view: 0 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.146
- Full text
The Sociodemographic Factors and Accessibility in Utilizing the Maternal and Child Health Handbook for Monitoring Under-Five Children in North Sumatera

Syafrina Ulfah, Universitas Sumatera Utara, Indonesia

Fithri Handayani Lubis, Universitas Sumatera Utara, Indonesia

Kiki Rismadi, Universitas Sumatera Utara, Indonesia

Diza Fathamira Hamzah, Universitas Sumatera Utara, Indonesia

57-63

Abstract view: 0 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.149
- Full text
Determinants of Hospital Length of Stay Among Pulmonary Tuberculosis Inpatients at A Secondary General Hospital in Indonesia: A Comparative Analysis

Balqis Nurmauli Damanik, Universitas Bunda Thamrin, Indonesia

Hely Hely, Universitas Bunda Thamrin, Indonesia

64-69

Abstract view: 0 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.150
- Full text
Mobile Web App Development for Diabetic Foot Screening Using Inlow’s 60-Second Screen with Automated Risk Classification

Suhendri, Universitas Majalengka, Indonesia

Wildan Zhilal Manafi, Universitas Majalengka, Indonesia

Bayu Reviyadi, Universitas Majalengka, Indonesia

Sri Rahayu, Universitas Majalengka, Indonesia

Iin Karmila Septiani, Universitas Majalengka, Indonesia

Mita Nurmala, Universitas Majalengka, Indonesia

70-80

Abstract view: 0 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.152
- Full text
Machine Learning-Based Outcome Prediction in Isolated Ventricular Septal Defects

Nurdan Erol, Sciences University Zeynep Kamil Gynecology and Pediatrics Training and Research Hospital, Turkey

https://orcid.org/0000-0002-9650-2077

Çiğdem Erol, Istanbul University, Turkey

https://orcid.org/0000-0002-9650-2077

Ilkim Ecem Emre, Marmara University, Turkey

https://orcid.org/0000-0001-9507-8967

81-89

Abstract view: 0 times | Download: 0 times | https://doi.org/10.37034/medinftech.v4i2.151
- Full text
Classification of Corn Leaf Disease Detection Using ResNet50 and Inception V3

I Indarti, Universitas Nusa Mandiri, Indonesia

Dewi Laraswati, Universitas Bina Sarana Informatika, Indonesia

F Frieyadie, Universiti Kuala Lumpur Malaysia, Malaysia

90-96

Abstract view: 1 times | https://doi.org/10.37034/medinftech.v4i2.90