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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).
Benchmarking YOLO26 Against YOLOv11 for Minority Class Waste Detection on an Augmented TACO Dataset Lingga Kurnia Ramadhani; Bajeng Nurul Widyaningrum
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13712

Abstract

This study benchmarks YOLO26 against YOLOv11 for detecting minority waste categories (Hazardous/B3 and Residue), evaluating whether YOLO26's Progressive Loss Balancing (ProgLoss) and Small-Target-Aware Label Assignment (STAL) mechanisms address class imbalance and small-object detection challenges. Both models were trained under identical conditions (50 epochs, 640×640) on a combined TACO, RecyBat24, and Food Waste Detection dataset (2,326 images, 70:15:15 split), across three scenarios: YOLOv11 baseline, YOLO26 default, and YOLO26 with class weighting and copy-paste augmentation. YOLO26 (default) achieved a marginally higher mAP@0.5:0.95 (0.393 vs 0.385) and modestly faster CPU inference (≈20% faster) than YOLOv11, with near-identical mAP@0.5 across scenarios. B3 performed consistently well (mAP@0.5 ≈ 0.99), and class weighting improved its detection robustness without raising overall mAP. Residue detection remained the weakest across all scenarios (mAP@0.5 0.076–0.085) and worsened under weighting, indicating that ProgLoss and STAL alone do not resolve its structural visual heterogeneity; this weak, stable Residue performance was confirmed reproducible across three additional training runs with different seeds (mAP@0.5:0.95 = 0.046 ± 0.001). These findings partially support the research hypothesis, positioning YOLO26 (default) as a favorable accuracy-efficiency trade-off for automated waste sorting, while Residue detection requires further data enrichment and augmentation strategies beyond architectural improvements alone.
Development and Evaluation of an Authentication-Based Access Control Framework for Secure Web-Based Ebook Distribution Lingga Kurnia Ramadhani; Bajeng Nurul Widyaningrum; Wahyu Wijaya Widiyanto
Jurnal Inotera Vol. 11 No. 2 (2026): July - December 2026
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol11.Iss2.2026.ID714

Abstract

The increasing use of digital learning resources has created a growing demand for secure ebook distribution systems. However, many existing ebook platforms remain vulnerable to unauthorized access, credential sharing, and uncontrolled digital content distribution. This study proposes an Authentication-Based Access Control Framework for secure web-based ebook distribution by integrating authentication, role-based authorization, session management, transaction validation, and ebook access protection within a unified security architecture.The research employed the Waterfall software development model consisting of requirement analysis, system design, implementation, testing, and deployment. The proposed framework was implemented using PHP and MySQL and evaluated through functional and security testing.The implementation results demonstrate that the developed system successfully manages 153 registered users, 151 ebook transactions, and six published ebook collections while maintaining controlled access to digital content. Functional testing achieved a 100% success rate across authentication, authorization, session validation, and ebook protection scenarios. The session management mechanism effectively prevented concurrent account usage and unauthorized access attempts.The novelty of this study lies in the integration of authentication, authorization, session validation, and ebook access protection within a dedicated framework specifically designed for ebook distribution. The proposed framework provides a practical, scalable, and cost-effective alternative for educational institutions and digital content providers seeking secure digital resource distribution without relying on complex Digital Rights Management (DRM) infrastructures.
Information Security Evaluation of the Electronic Medical Records System at Sultan Agung Islamic Hospital Destri Maya Rani; Bajeng Nurul Widyaningrum
Jurnal Manajemen Informasi Kesehatan (Health Information Management) Vol. 10 No. 1 (2025): Health Information and Management
Publisher : Sekolah Tinggi Ilmu Kesehatan Sapta Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51851/jmis.v10i1.636

Abstract

In the digital era, the use of Electronic Medical Records (EMR) is crucial for improving the effectiveness and accuracy of healthcare services. However, this advancement also brings new challenges related to the security and privacy of patient data. This study aims to evaluate the information security aspects of the EMR at Sultan Agung Islamic Hospital (RSI) Semarang using a Gap Analysis model based on the ISO 27001 standard. The study was conducted using a case study and concurrent mixed methods, involving five key informants, including the head of IT, the head of medical records, and the medical records officer. Data were analyzed using a Gap Analysis checklist and in-depth interviews. The results showed that only 40% of the 108 clauses of the ISO 27001 requirements were met, indicating the need for significant improvements in information security. The implementation of encryption technology, multi-factor authentication, and data security regulations are proposed to provide stronger protection for patient data. This study is expected to increase patient confidence in the privacy of their data and provide a benchmark for other healthcare facilities in managing data securely and efficiently.