Journal Title Journal of Holistic Medical Technologies (JHMT)
Abbreviation J. Holist. Med. Technol.
Short Title JHMT
Language English
ISSN in PERPUSNAS 3164-0516 (online);
DOI Prefix by Crossref 10.70421/jhmt by  Crossref
Publication Frequency 2 issues per year (June and December)
Management Style Open Access
National Accreditation -
Citation Analysis DOAJ l Google Scholarl More...
Subject Areas Medical Sciences
Editor-in-Chief Heni Sumarti, M.Si
Publisher Konsorsium Pengetahuan Innoscientia (Kopinnos)
Rembang, Central Java - Indonesia

 


The Journal of Holistic Medical Technologies (JHMT) aims to advance the integration and application of diverse technological and scientific disciplines within the field of medical sciences. The journal aims to promote innovation and interdisciplinary research by publishing high-quality original research, reviews, and case studies that explore the intersection of medical physics, imaging technologies, electronics, herbal chemistry, and neuroscience. We aim to bridge the gap between theoretical and applied research, promoting holistic solutions to complex medical challenges. JHMT welcomes a broad range of submissions that contribute to these areas, aiming to integrate emerging technologies with traditional medical approaches to enhance patient care and expand scientific knowledge.

The journal was first published in 2024 and has been indexed in reputable indexing databases, including Google Scholar.

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Geographical Coverage of 1 Countries

Indonesia
Indonesia

Indexed By

Current Issue

Vol. 2 No. 2 (2026): June

Published: 2026-06-02

Analysis of the Effects of kVp, mAs, and Filter on Radiation Dose and Digital Mammography Image Quality

PDF
43-48
Abstract View: 5
PDF Download: 1

Arduino UNO-Based pH and Viscosity Sensor Prototype for Comparative Analysis of Urine Characteristics in Pregnant and Non-Pregnant Women

PDF
49-52
Abstract View: 5
PDF Download: 0

Characteristics of Brain Signals in Response to Audiovisual Stimulation Using the Electrical Capacitance Volume Tomography (ECVT) Principle

PDF
53-59
Abstract View: 5
PDF Download: 0

Classification of Alzheimer's Disease Based on Texture Characteristics in Magnetic Resonance Imaging Images Using the Random Forest Method

PDF
60-69
Abstract View: 9
PDF Download: 1

CT Scan Image Classification Using Random Forest Method Based on Texture Features to Differentiate Between Normal Kidney and Cyst

PDF
70-79
Abstract View: 5
PDF Download: 2