Article Per Year (5 Year)
p-Index From 2021 - 2026
4.033
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inotera JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Rekam Medis dan Manajemen Informasi Kesehatan PELS (Procedia of Engineering and Life Science) Medika Trada Indonesian Journal of Health Information Management Services (IJHIMS) ENGAGEMENT: Jurnal Pengabdian Masyarakat Jurnal manajemen informasi kesehatan MANGGALI ABDIKES TRADA : JURNAL PENGABDIAN MULTIDISIPLIN DAN PEMBERDAYAAN MASYARAKAT Joong-Ki Jurnal Rekam Medis dan Informasi Kesehatan Indonesia Jurnal Mitra Pengabdian Farmasi
Bajeng Nurul Widyaningrum
Politeknik Bina Trada Semarang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
Implementation of Electronic Medical Records in Type C Hospitals: Implementasi Rekam Medis Elektronik di Rumah Sakit Tipe C Rani, Destri Maya; Rizqulloh, Lutfiyah; Widyaningrum, Bajeng Nurul
Procedia of Engineering and Life Science Vol. 9 (2025): Proceedings of the 2025 Annual Meeting of APTIRMIKI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The implementation of Electronic Medical Records (EMR) is a strategic step in supporting the digitization of healthcare services in Indonesia, including in type C hospitals. In line with the National Policy, Ministry of Health Regulation No. 24 of 2022 on Electronic Medical Records, the implementation of EMR is mandatory for healthcare facilities. However, in its implementation, type C hospitals face various challenges that need to be comprehensively examined. This study aims to analyze the implementation of EMR in Type C Hospitals through a literature review. The research method is a literature review of articles published between 2023 and 2025, obtained from the Google Scholar and SINTA databases, with a focus on Type C Hospitals. A total of 10 articles met the criteria and were analyzed further. The results of the study indicate that the implementation of RME in type C hospitals has been underway but is not yet optimal. The most supportive factors include management support, human resource competence, information technology infrastructure, organizational culture, and user training. In addition, several hospitals experienced challenges in terms of data security, system interoperability, and resistance to change. This indicates that the implementation of Minister of Health Regulation No. 24 of 2022 still requires varying degrees of adaptation and readiness at the level of type C hospitals. The conclusion of this study emphasizes that the implementation of RME requires comprehensive readiness, both in terms of technical aspects, resources, and organization. It is recommended that Type C Hospitals enhance user training, strengthen management support, and conduct regular evaluations of the systems used to ensure the sustainability and effectiveness of EMR in accordance with current national policies.
PROGRAM EDUKASI KESEHATAN REPRODUKSI RAMAH USIA BAGI PRA-REMAJA AWAL Widyaningrum, Bajeng Nurul; Rani, Destri Maya; Syafira, Mutia
Jurnal Pengabdian Multidisiplin dan Pemberdayaan Masyarakat Vol 3 No 1 (2026): ABDIKES TRADA : JURNAL PENGABDIAN MULTIDISIPLIN DAN PEMBERDAYAAN MASYARAKAT
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/abdikestrada.v3i1.155

Abstract

This community service programme aims to improve early adolescents' knowledge of reproductive health through age-appropriate education. The activity was carried out on 20 children aged 10–12 years who are members of PMR Mula at PMI Semarang City using a one group pre-test–post-test design. Education was provided through interactive lectures, discussions, educational games, and visual media. The results showed a significant increase in participants' understanding of physical changes, psychological changes, and personal hygiene during puberty. The average increase in knowledge reached more than 30%. These findings indicate that an age-appropriate educational approach is effective in improving reproductive health literacy and helping children prepare for puberty in a healthy and safe manner.
EVALUASI SISTEM INFORMASI MANAJEMEN KLINIK NARENDRA MEDIKA Florentina Nadira Saniman; Bajeng Nurul Widyaningrum; Destri Maya Rani
MEDIKA TRADA Vol 5 No 2 (2024): MEDIKA TRADA (JTEMP) Vol 5 No 2 (2024)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v5i2.84

Abstract

Clinic Management Information System (Clinic MIS) is a technology-based system that manages administrative data, medical records, and health services in clinics, which aims to improve operational efficiency and service quality through integrated information management. Considering the importance of the Minister of Health Regulation Number 24 of 2022 for the electronic medical record (EMR) system, this research using the Technology Acceptance Model (TAM) method aims to evaluate the extent to which the Narendra Medika Clinic SIM is accepted by users and to find potential obstacles in daily implementation. This study measures four dimensions of TAM: Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, and Behavioral Intention to Use. This research method was descriptive qualitative research, where data was obtained through interviews with health workers at Narendra Medika Clinic who have used the Clinic MIS for more than 6 months. The study results indicate that Clinic MIS has provided significant benefits, especially in supporting health services in the digitalization era. However, there are several obstacles, especially related to the stability of the internet network that need to be improved to ensure smooth operations. Although the accuracy of the information in Clinic MIS is good, several improvements to the features and appearance of the system, such as grouping drug stocks and updating ICD codes, are needed to improve the accuracy and convenience of use by health workers. This study recommends improving network infrastructure and developing additional features in Clinic MIS to support more optimal clinic performance.
Analisis Metode OWASP V4.2 dalam Pengujian Keamanan Sistem Informasi Rumah Sakit Bajeng Nurul Widyaningrum; Destri Maya Rani; Lingga Kurnia Ramadhani
MEDIKA TRADA Vol 5 No 2 (2024): MEDIKA TRADA (JTEMP) Vol 5 No 2 (2024)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v5i2.99

Abstract

This research aims to identify and mitigate security vulnerabilities in the Hospital Information System (SIMRS) using the OWASP Web Security Testing Guide (WSTG) v4.2 based testing method. With the help of the OWASP ZAP tool, various vulnerabilities were identified, such as SQL Injection, weaknesses in session management, lack of security attributes in cookies, and disclosure of sensitive information through URLs or code comments. SQL Injection was identified as the highest risk vulnerability, as it potentially allows attackers to access, manipulate, or delete sensitive data in the database. In addition, weaknesses in cookie attributes, such as HttpOnly and SameSite, and the absence of an anti-CSRF mechanism, indicate potential threats in the form of Cross-Site Scripting (XSS) and Cross-Site Request Forgery (CSRF). The implementation of a solution based on WSTG v4.2 involves steps such as the implementation of HTTPS encryption, the use of prepared statements for database interaction, the application of security headers such as Content-Security-Policy (CSP), and input validation to reduce the risk of XSS. In addition, code audits were conducted to remove sensitive comments, while hidden files or unnecessary backups were removed to minimize the potential for information leakage. Test results after the implementation of the solution showed a significant improvement in the security level of the application. This research proves that the WSTG v4.2-based approach can provide comprehensive and systematic guidance in web application security testing. With these results, organizations, particularly in the healthcare sector, can ensure better protection of patient data and comply with applicable information security standards.
EFEKTIVITAS KEPUASAN SISTEM INFORMASI MANAJEMENT KLINIK PRATAMA HASNA DENGAN MENGGUNAKAN METODE END USER COMPUTING SATISFACTION ( EUCS) raafi puja; Bajeng Nurul Widyaningrum; Lutfiyah Rizqulloh
MEDIKA TRADA Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.127

Abstract

Digital transformation in the health sector requires health service facilities to implement efficient and responsive information systems. Hasna Pratama Clinic as a primary clinic in Semarang City has implemented the Clinic Management Information System (SIM Klinik) since 2024, but its implementation has not been optimal. This study aims to analyze the effectiveness of SIM Clinic user satisfaction using the End User Computing Satisfaction (EUCS) approach. The assessment was carried out on five dimensions of content, accuracy, format, ease of use, and timeliness. A qualitative descriptive approach was used through in-depth interviews and direct observation of health workers. The results of the study indicate that in general the system is considered quite good in terms of ease of use and display efficiency, but is still weak in terms of data integration, medical history, and system stability. These findings provide an important contribution to the development of more effective information systems in primary health care. Keywords: Clinical SIM, User Satisfaction, EUCS, Electronic Medical Record, Health Information System
DEVELOPMENT OF A MACHINE LEARNING MODEL FOR FORECASTING HEALTHCARE SERVICE UTILIZATION BASED ON EMR DATA Bajeng Nurul Widyaningrum; Maulina Latifah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9306

Abstract

This study develops and evaluates a reproducible proof-of-concept (PoC) pipeline for forecasting day-ahead hospital service utilization from routinely collected electronic medical record (EMR) data. Three anonymized Excel extracts from August 2025 were used—outpatient visits (4,247 rows), laboratory actions (2,044 rows; August subset), and radiology examinations (31 rows)—then cleaned, time-parsed, and aggregated to daily counts. Features comprised day-of-week (DOW) and lagged outpatient volume (OPD_{t−1}) to avoid same-day leakage. We trained a linear regression model to predict daily laboratory counts and a Random Forest to flag daily high/low laboratory workload (threshold = within-month median ≈79 actions/day), evaluated with blocked time-series cross-validation. Outpatient visits ranged 154–204/day (median ≈172) and laboratory actions 61–171/day (median ≈79); radiology volumes were too sparse for reliable day-level modeling. The regression baseline achieved R² = −20.52 (mean CV), indicating that OPD_{t−1}+DOW alone cannot explain intra-month variability, while the classifier reached Accuracy = 0.53 ± 0.16, sufficient to validate the end-to-end pipeline but inadequate for autonomous staffing or reagent planning. These findings suggest that accurate operational forecasting requires multi-month horizons and clinically richer features (e.g., sending unit/poliklinik, grouped test panels, provider schedules, payer, and holiday effects) alongside additional temporal signals (multi-day lags/leads, rolling statistics).
Co-Authors Agistina Rivana, Baiq Riska Bayu Ariwibowo, Bayu Budiyanto Budiyanto Budiyanto Budiyanto Destri Maya Rani Destri Maya Rani Diah Kari Artati Florentina Nadira Saniman Fuad Abdillah Hendro Prabowo Lingga Kurnia Ramadhani Lingga Kurnia Ramadhani Lutfiyah Rizqulloh Maulina Latifah Maya Rani, Destri Nadiah, Salma Nugroho, Suryanto Nurul Hasanah Puspita, Rina raafi puja Rani, Destri Maya Ratih Dwi Anggraynie Ratna Ratna Renha Maria Pelera Ojan Rina Puspita Sulchan, Sulchan Syafira, Mutia Wiansah, Rizal Andina Widiyanto, Wahyu Wijaya Yuli Arinta Dewi