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Muhammad Yunus
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m.yunus@polije.ac.id
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+6288803680040
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ijhitech@polije.ac.id
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Jl. Mastrip PO Box 164, Jember, Jawa Timur
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Kab. jember,
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INDONESIA
International Journal of Healthcare and Information Technology
Published by Politeknik Negeri Jember
ISSN : -     EISSN : 30256933     DOI : 10.25047/ijhitech
Core Subject : Health, Science,
Computer Science & IT Public Health
International Journal of Healthcare and Information Technology (IJHITECH) is published by Politeknik Negeri Jember and managed by Health Information Management, Department of Health. IJHITECH a scientific journal, double blind peer reviewed and open-access journal. IJHITECH is an academic journal organized which focus and scope : medical record, health information management, health information system, health information technology, public health and information technology. IJHITECH provides open access to anyone so that the information and findings in these articles are useful for everyone. This journal article content can be accessed and downloaded for free, free of charge, following the creative commons license used.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 45 Documents
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Analysis of Study-Life Balance Among Vocational Students for the Development of a Mental Health Promotion Platform Dhyani Ayu Perwiraningrum; Iwan Abdi Suandana; Riskha Dora Candra Dewi; Rinda Nurul Karimah
International Journal of Healthcare and Information Technology Vol. 4 No. 1 (2026): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v4i1.6683

Abstract

Mental health challenges among vocational college students have increased alongside intensive academic workloads and practical training demands. Study–life balance has emerged as a critical concept for understanding these challenges, as it reflects students’ ability to manage academic responsibilities, personal needs, and psychological recovery. However, empirical evidence linking study–life balance with the conceptual development of digital mental health promotion platforms in the vocational education context remains limited. This study employed a quantitative descriptive cross-sectional design to examine study–life balance and mental health support needs among vocational students. Data were collected from 105 students using a questionnaire adapted from the Depression Anxiety Stress Scale (DASS-21), complemented by items assessing digital mental health application use and feature preferences. Stratified random sampling was applied to ensure representation across study programs and academic levels. The findings indicate high levels of academic stress, difficulties in maintaining study–life balance, and insufficient rest time among students, alongside strong interest in digital mental health platforms despite low prior usage. Preferred features included activity management, self-assessment tools, and access to professional support, providing an empirical foundation for future platform development.
GROWTH: An Innovative Approach to Monitoring Child Health and Development Gandu Eko julianto Suyoso; Erna Selviyanti; Mudafiq Riyan Pratama; Muhammad Yunus
International Journal of Healthcare and Information Technology Vol. 4 No. 1 (2026): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v4i1.6725

Abstract

Monitoring child growth and development during the First 1,000 Days of Life is critical for preventing stunting and developmental delays. Despite national policies mandating routine monitoring, current practices in Indonesia remain largely manual and fragmented, limiting real-time data access and early intervention. This gap highlights the need for an integrated, real-time digital monitoring tool that connects parents and health workers.This study aims to develop GROWTH (Global Real-time Observation of Well-being, Tracking, and Health), a web-based system that integrates physical growth and developmental monitoring for children aged 0–72 months. The system was developed using the Scrum framework, involving parents and midwives in the requirements elicitation process. System functionality was evaluated through black-box testing using simulated child growth and development data, as well as its usability was assessed by end-users (parents and midwives). The results indicate that all core features functioned as expected, including growth chart visualization based on WHO Anthro standards and age-appropriate developmental screening. The GROWTH system offers a practical digital solution to support timely decision-making by parents and healthcare workers, with potential for integration into national child health information systems.
Interface Design of Integrated Infectious Disease Screening Information System in the Teaching Factory for Health Innovation (V-Kes) Sabran Sabran; Dony Setiawan HP; Mochammad Choirur Roziqin; Khomsatun Ni’mah
International Journal of Healthcare and Information Technology Vol. 4 No. 1 (2026): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v4i1.6694

Abstract

Communicable diseases such as Tuberculosis (TB), Dengue Hemorrhagic Fever (DHF), and HIV/AIDS remain major public health challenges in Indonesia, including Jember Regency. Data from the Central Bureau of Statistics and the Ministry of Health indicates an increasing trend in these diseases, emphasizing the importance of early detection through screening as a strategy to reduce transmission and mortality rates. This study creates an interface design that aims to create an infectious disease screening information system based on Artificial Intelligence (AI) that is not yet available in the Teaching Factory for Health Innovation (V-Kes) using the Rapid Application Development (RAD) approach. RAD was chosen because it allows rapid system development through continuous iterations and active user involvement. The research involves a multidisciplinary team from the fields of health, information technology, and management, while V-Kes functions as both an innovation laboratory and a real-world practice setting that integrates digital technology into community-based health services. The expected outputs of this research include scientific publications at national and international conferences, scientific posters, copyright registration of the information system, and a comprehensive final report. This interface design will later enable the developed system to accelerate the detection of infectious diseases, increase service efficiency, and enrich students' learning experiences through the Teaching Factory 4.0 concept. Moreover, this study contributes to strengthening local digital health systems and provides a replicable model for health technology development in other educational institutions.
Application of the Naive Bayes Algorithm in Data Mining for Predicting Stroke Disease Nur Aggun S.; Nadhifa Dwi Rahmalia; Nurrahma Harris; Wita Windari; Andi Muhammad Zulkifli; Mochammad Choirur Roziqin; Ziani Said
International Journal of Healthcare and Information Technology Vol. 4 No. 1 (2026): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v4i1.6669

Abstract

Stroke is a major global health problem that may lead to permanent disability or death. In Indonesia, analytical approaches such as data mining have been increasingly used to support early identification of stroke risk based on patient health records. This study applies the Naive Bayes algorithm as the main classification method. The research procedure includes data collection from the Kaggle repository, data selection based on predetermined clinical criteria, data cleaning to remove duplicates and missing values, and data transformation by converting categorical attributes into numerical form. The dataset was then split into training and testing subsets for model development. The final dataset consisted of 3,256 patient records containing variables such as gender, age group, hypertension, heart disease, average glucose level, body mass index (BMI), smoking status, and stroke occurrence. After completing these preprocessing stages, the Naive Bayes model achieved an accuracy of 89.49%. This result indicates that the model was able to classify stroke and non-stroke cases in the dataset with a satisfactory level of accuracy. The findings suggest that the model may serve as a baseline component for developing decision-support systems aimed at facilitating early identification of stroke risk in targeted population groups.
Web Portal Development for V-KES Teaching Factory at Politeknik Negeri Jember Mudafiq Riyan Pratama; Gamasiano Alfiansyah; Demiawan Rachmatta Putro Mudiono; Selvia Juwita Swari
International Journal of Healthcare and Information Technology Vol. 4 No. 1 (2026): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v4i1.6897

Abstract

V-Kes serves as a Teaching Factory (TeFa) for the Health Information Management Study Program within the Department of Health. Based on a preliminary study, it was found that V-Kes does not yet have a web portal specifically designed for early detection and integrated information services related to Diabetes Mellitus (DM). This study aims to develop a novel web-based portal that integrates early DM detection features with an educational and service information platform for the V-Kes TeFa, distinguishing it from existing general health web portals. The study focuses on the system outcomes and its impact on users rather than detailed development processes. The system was implemented as a web portal, with the frontend developed using React and Vite, and the backend utilizing Laravel. The study involved five V-Kes TeFa managers as informants for user identification and system evaluation. User satisfaction evaluation was conducted using qualitative methods supported by structured feedback indicators, including usability, information quality, and system responsiveness. Data were analyzed through data reduction, data presentation, and conclusion drawing. The study resulted in the development of a web-based portal at the V-Kes TeFa that enables early DM risk screening through user input data and provides real-time health information access. Evaluation results indicate that most users found the system easy to use, informative, and relevant to their needs, although specific issues were identified in system response time. However, improvements are still required in the timeliness dimension to provide faster response times according to user needs, as well as the addition of a user manual. Therefore, future development will focus on enhancing system access speed and incorporating a manual book.

Page 5 of 5 | Total Record : 45

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