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All Journal International conference on Information Technology and Business (ICITB) JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Kesmas Indonesia: Jurnal Ilmiah Kesehatan Masyarakat Journal of Public Health for Tropical and Coastal Region Journal of Public Health Research and Community Health Development (JPH RECODE) Jurnal Aisyah : Jurnal Ilmu Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan International Journal of Health and Information System (IJHIS) International Journal of Healthcare and Information Technology
Deharja, Atma
Jurusan Kesehatan, Politeknik Negeri Jember
Computer Science & IT Economics, Econometrics & Finance Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Veterinary

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File Security Design in Electronic Health Record (EHR) System with Triple DES Algorithm (3DES) at Jember Family Health Home Clinic Yunus, Muhammad; Sakkinah, Intan Sulistyaningrum; Rahmawati, Ulfa Emi; Deharja, Atma; Santi, Maya Weka
International Journal of Health and Information System Vol. 1 No. 1 (2023): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i1.2

Abstract

Electronic Health Record (EHR) is an electronic version of a patient's medical history maintained by a health care service from time to time. The hacking of medical record data by irresponsible parties is a security threat to the EHR system, including the EHR system belonging to the Jember Family Health Home Clinic which is not equipped with a file security system. This research was conducted by designing file security on the EHR system with the Triple DES (3DES) algorithm using UML (Unified Modeling Language) diagrams. The Triple DES (3DES) algorithm was chosen because it is considered secure in securing files. The results of this study are the design of adding file security with 3DES to the EHR system to help maintain the confidentiality of vital medical record data. Further research can be done by building a file security system using 3DES according to the design that has been made.
Electronic Health Records Design in the Nutrition Care Center of Teaching Factory at Politeknik Negeri Jember, Indonesia Deharja, Atma; Yunus, Muhammad; Santi, Maya Weka
International Journal of Health and Information System Vol. 1 No. 1 (2023): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i1.6

Abstract

The Nutrition Care Center (NCC) is one of the teaching factories (TEFA) at Politeknik Negeri Jember that provides community nutrition services. Preliminary data collection found that the factory did not have complete health database of their staff so that nutritionists find it difficult to screen for non-communicable disease risk factors. In this study, the use of Electronic Health Record (EHR) equipped with Clinical Decision Support System (CDSS) was incorporated to record, retrieve, archive, and update patients and other medical records in the NCC. This system provides easier health record management for the nutritionist team at the NCC TEFA Politeknik Negeri Jember. Medical records help them conduct screening on non-communicable disease (NCD) risk factors and make clinical decision support for doctors/counselors which have missions to reduce NCD cases in the productive age. This study used a waterfall method model and collected data through a literature review, observation, and interviews. The results produced an application of a clinic database management in which all data and information could be integrated well to improve the quality of services and facilitate data storage and access. This study concludes that the EHRs generates quick and accurate information to support operations and decision-making in the NCC.
Integrated Electronic Medical Record Design With Nutritional Screening System at NCC’s Teaching Factory Deharja, Atma; Yunus, Muhammad; Suryana, Arinda Lironika
International Journal of Health and Information System Vol. 1 No. 3 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i3.28

Abstract

One of Politeknik Negeri Jember's Teaching Factories (TEFA) that offers community nutrition services is the Nutrition Care Centre (NCC). The design of electronic medical records (EMRs) for continuous care patients, especially those with non-communicable diseases, is being studied in order to meet the ever-increasing needs of health care, assist patients who require continuous care, and improve the way that modern medical technology serves humans. The Waterfall framework concept is used in the research process, and an electronic medical record system is designed in accordance with the goals and the overall architecture of the system. Black-box testing and white-box testing are then conducted to evaluate the features, dependability, and stability of the designed electronic medical record system. Furthermore, when combined with other research findings, the design's viability is demonstrated. It is evident that the electronic medical record system created for the study's patients who require ongoing care is entirely workable. As electronic medical records continue to develop, there will be more opportunities to research and enhance this system, which will benefit patients and hospitals alike in the long run.
Perbandingan Kinerja Algoritma KNN-DT-RF-SVM untuk Deteksi Dini Risiko Kematian Ibu Rahagiyanto, Angga; Prakoso, Bakhtiyar Hadi; Yunus, Muhammad; Vestine, Veronika; Suyoso, Gandu Eko Juliato; Deharja, Atma
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 2 (2025): March
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i2.5658

Abstract

Maternal Mortality Rate (MMR) in Indonesia remains a significant health issue, with data indicating a mortality rate far exceeding the Sustainable Development Goals (SDGs) target. This study aimed to explore and compare the performance of K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) algorithms in detecting maternal mortality risk. Using a medical dataset of pregnant women from Sumbersari Community Health Center, models were developed to classify three pregnancy risk categories: low risk (KRR), high risk (KRT), and very high risk (KRST). Model evaluation was conducted based on accuracy, precision, recall, and F1-score metrics. The results showed that the Random Forest algorithm achieved the highest performance with an accuracy of 76.7%, followed by Decision Tree and SVM with 70%, while KNN had the lowest accuracy at 50%. The main challenge encountered was data imbalance in the classification of very high-risk cases. This study suggests the use of data balancing methods such as SMOTE and additional data augmentation to enhance model performance. These findings can serve as a foundation for Puskesmas to implement machine learning-based early detection systems to reduce maternal mortality rates.
Factors Contributing to Incomplete of Manual and Electronic Medical Record (EMR) Entries in Hospital Nasution, Nurlia Susanti; Alfiansyah, Gamasiano; Deharja, Atma; Suyoso, Gandu Eko Julianto
Journal of Public Health for Tropical and Coastal Region Vol 8, No 1 (2025): Journal of Public Health for Tropical and Coastal Region
Publisher : Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jphtcr.v8i1.25860

Abstract

Introduction: A complete medical record is defined as one that is fully completed by Healthcare Professionals (HCPs) within ≤ 24 hours after the patient is discharged. In the third quarter of 2022, X Regional Hospital recorded the highest percentage of incomplete inpatient medical records in October, totaling 465 incomplete records (32.68%). This study aims to analyze the factors contributing to the incompleteness of inpatient medical record documentation at the hospital using Lawrence Green's behavioral theory, focusing on predisposing, enabling, and reinforcing factors.Methods: This qualitative study employed data collection techniques such as observation, documentation, and interviews to nine informants, comprising one head of the medical records department, four attending physicians, three nurses, and one head of the inpatient ward. The data were analyzed through data reduction, data presentation, and conclusion drawing, followed by providing improvement recommendations.Results: The findings indicate predisposing factors include limited staff knowledge about medical record documentation. Enabling factors involve an insufficient number of computers, incomplete training attendance, and unawareness of Standard Operating Procedures (SOP) on medical record completeness. Reinforcing factors include the absence of punishment for non-compliance.Conclusion: Improvement efforts include conducting regular socialization, monitoring, and evaluation of SOP implementation for medical record completeness; proposing additional computers; organizing seminars and training on medical record documentation for medical record staff and HCPs; and implementing a reward and punishment system to enhance HCP performance in completing inpatient medical records.
An Analysis of the Causes of Delays in the Return of Outpatient Medical Records at Jambesari Public Health Center, Bondowoso Kiromah, Siska Ainul; Nuraini, Novita; Deharja, Atma; Sabran, Sabran
International Journal of Healthcare and Information Technology Vol. 2 No. 1 (2024): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v2i1.6156

Abstract

Timely return of medical records is essential for evaluating the quality of services at Community Health Centers (Puskesmas). In the second quarter of 2022, Puskesmas Jambesari in Bondowoso experienced a significant delay in the return of outpatient medical records. Of the 1,822 expected files, 1,443 (approximately 80%) were returned late, resulting in frequent misfiling due to improper storage. The prolonged absence of these records was a major contributing factor to the issue. This study aims to analyze the underlying causes of delays in returning outpatient medical records at Puskesmas Jambesari by examining the seven elements of the 7M framework: manpower, money, materials, machines, methods, motivation, and media. Employing a qualitative research approach, data were collected through interviews, observations, documentation, and brainstorming sessions. The findings reveal several systemic issues: front desk staff lacked awareness of return deadlines; training for relevant personnel was insufficient; the use of tracers and phone communication was minimal; expedition books were not optimally utilized; no specific Standard Operating Procedure (SOP) existed for record return; motivational incentives were absent; the physical storage space for records was inadequate; and no budget proposal had been prepared to support improvements. Notably, the absence of a clear SOP further exacerbated the problem.
Co-Authors Alfiansyah, Gamasiano Ardianto, Efri Tri Esti, Dyah Eriyaning Esti, Dyah Eriyaning Irfiah, Irfiah Kiromah, Siska Ainul Lestari, Melia Sinta Maemunah maya weka santi, maya weka Muhammad Yunus Muhammad Yunus Nasution, Nurlia Susanti Nuraini, Novita Prakoso, Bakhtiyar Hadi Putri, Fitriana Rachmawati, Ervina Rahagiyanto, Angga Rahmawati, Ulfa Emi Ratih Ayuninghemi, Ratih Rohman, Nonik Aisyah Sakkinah, Intan Sulistyaningrum Suryana, Arinda Lironika Suyoso, Gandu Eko Julianto Suyoso, Gandu Eko Juliato Swari, Selvia Juwita Swari, Selvia Juwita Vestine, Veronika Wijayanti, Rossalina Adi