Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Journal Health Information Management Indonesian International Journal Of Public Health International Journal of Information Engineering and Science
Rizka Licia
Unknown Affiliation
Engineering Health Professions Medicine & Pharmacology Nursing Public Health

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
ANALISIS REKAM MEDIS ELEKTRONIK RAWAT JALAN PADA ASPEK KEAMANAN DATA PASIEN DI RUMAH SAKIT UMUM DAERAH dr. SOEDIRAN MANGUN SUMARSO WONOGIRI Nadilla Putri Melisa; Wahyu Ratri Sukmaningsih; Rizka Licia
Journal Health Information Management Indonesian (JHIMI) Vol. 3 No. 3 (2024): Desember (Journal Health Information Management Indonesian)
Publisher : Sekretariat Program Studi Sarjana Terapan Manajemen Informasi Kesehatan Politeknik Indonusa Surakarta.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/jhimi.v3i3.193

Abstract

Rekam Medis Elektronik merupakan salah satu produk perkembangan teknologi informasi yang dimaksudkan untuk mempermudah pelayanan kesehatan. Pemanfaatan sistem rekam medis elektronik tentu harus disempurnakan dengan pengamanan dan perlindungan data, termasuk kerahasiaan, autentikasi, dan access control. Penelitian ini bertujuan untuk menganalisis rekam medis elektronik rawat jalan pada aspek keamanan data pasien di RSUD dr. Soediran Mangun Sumarso Wonogiri. Penelitian ini menggunakan metode kualitatif. Subjek dalam penelitian ini adalah pengguna yang memiliki hak akses rekam medis elektronik, sedangkan objek yang digunakan adalah sistem rekam medis elektronik di RSUD dr. Soediran Mangun Sumarso Wonogiri. Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah nonprobability sampling dengan pendekatan purposive sampling, yaitu teknik penentuan sampel dengan pertimbangan tertentu, sehingga di dapatkan sampel sebanyak 5 informan yaitu kepala rekam medis, koordinator IT, dokter, bidan dan koordinator rawat jalan. Instrumen penelitian yang digunakan pada penelitian ini yaitu pedoman observasi dan pedoman wawancara. Cara pengumpulan data menggunakan observasi dan wawancara. Teknik pengolahan data dalam penelitian ini mennggunakan reduksi data, penyajian data dan menarik kesimpulan. Hasil penelitian menunjukkan bahwa keamanan data pasien pada aspek privacy sudah sesuai karena sudah ada username dan password untuk setiap user serta telah memiliki fitur log out otomatis. Keamanan data pada aspek authentication menunjukkan bahwa aspek authentication sudah absah. Hal ini, ditunjukkan dengan menerapkan fitur tanda tangan elektronik dalam bentuk QR-Code. Keamanan data pasien pada aspek access control tidak sesuai karena belum ada SPO tentang kebijakan ataupun prosedur pengoperasian sistem rekam medis elektronik.
Detection of Attacks in Computer Networks Using C4.5 Decision Tree Algorithm: An Approach to Network Security Wahyu Wijaya Widiyanto; Rizka Licia
International Journal of Information Engineering and Science Vol. 1 No. 4 (2024): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i4.48

Abstract

The detection of computer network attacks is becoming increasingly important as the complexity and frequency of cyber-attacks threatening information systems and network infrastructure continue to rise. These attacks may lead to severe consequences, including data breaches, service disruptions, and financial losses. To address these challenges, artificial intelligence techniques have become a major focus in the development of more effective, adaptive, and reliable intrusion detection systems. Among various classification algorithms, the C4.5 decision tree has demonstrated strong performance due to its simplicity, interpretability, and high classification accuracy. This study aims to apply the C4.5 algorithm for network attack detection using a comprehensive dataset that includes multiple categories of attacks and normal network activities. The proposed methodology consists of several stages, including data preprocessing, feature selection, decision tree model construction, and performance evaluation using standard metrics such as accuracy, precision, recall, and F1-score. Data preprocessing is performed to handle missing values, normalize data, and reduce noise, thereby improving the overall quality of the dataset and enhancing classification results. The experimental results indicate that the C4.5 decision tree algorithm effectively classifies network traffic into attack and normal categories with a satisfactory level of accuracy. The model successfully identifies attack-related patterns and highlights significant features that influence detection performance. Further analysis reveals that appropriate feature selection and parameter tuning significantly contribute to improving model reliability and robustness. This research provides a valuable contribution to the development of efficient, accurate, and practical network intrusion detection systems. The proposed approach is expected to strengthen information security frameworks and support proactive defense strategies against increasingly sophisticated cyber threats, thereby enhancing the protection of critical network infrastructures.
An Analysis of Factors Causing Incomplete Informed Con-sent Documentation in the Surgical Ward of RSUP Surakarta Sri Surani; Rizka Licia
International Journal of Public Health Vol. 2 No. 2 (2025): June : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v2i2.415

Abstract

Informed consent is a crucial component of medical records that ensures the legality and ethical compliance of medical procedures conducted on patients. At RSUP Surakarta, the completeness of informed consent documentation in the surgical ward has consistently failed to meet the national minimum service standard of 100%, with observed monthly completion rates ranging from 86% to 98% throughout 2024. This study aims to analyze the factors contributing to the incomplete documentation of informed consent in the surgical ward. A qualitative descriptive approach was employed using data collection techniques such as direct observation, in-depth interviews, documentation review, and participatory methods including the USG (Urgency, Seriousness, Growth) prioritization technique and brainstorming. The study involved four key informants: a medical services director, a surgeon, a surgical nurse, and a medical records officer. Findings indicate that the main contributing factors are the absence of Standard Operating Procedures (SOP) for consent documentation, lack of training, insufficient internal and external motivation due to absence of rewards or enforcement measures, limited knowledge, and short tenure of some staff members. The USG analysis identified the absence of an SOP as the most critical issue. Consequently, the development and dissemination of an SOP, coupled with regular staff training, were recommended as corrective measures. This study underscores the importance of structural and motivational support in improving the completeness of informed consent documentation, which is vital for patient safety and institutional accountability.
Aanalisis Faktor Penghambat Implementasi Rekam Medis Elektronik di Klinik Pratama Harapan Bunda boyolali Awali'ah, Salsabilla Isro'atul; Sukmaningsih, Wahyu Ratri; Rizka Licia
Journal Health Information Management Indonesian (JHIMI) Vol. 4 No. 2 (2025): Agustus (Journal Health Information Management Indonesian)
Publisher : Sekretariat Program Studi Sarjana Terapan Manajemen Informasi Kesehatan Politeknik Indonusa Surakarta.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/jhimi.v4i2.274

Abstract

Perkembangan teknologi yang semakin pesat menuntut berbagai instansi, termasuk sektor kesehatan, untuk terus beradaptasi. Sebagai respons terhadap kemajuan ini, fasilitas pelayanan kesehatan mulai beralih ke sistem rekam medis elektronik sesuai dengan Peraturan Menteri Kesehatan Republik Indonesia Nomor 24 Tahun 2022. Namun, dalam proses penerapannya, masih ditemukan berbagai hambatan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang menghambat implementasi Rekam Medis Elektronik (RME) di Klinik Pratama Harapan Bunda Boyolali. Jenis penelitian yang digunakan yaitu kualitatif dengan pendekatan deskriptif. Penelitian ini menggunakan metode kualitatif deskriptif dengan subjek petugas rawat jalan di Klinik Pratama Harapan Bunda Boyolali. Data diperoleh melalui wawancara dan observasi, dianalisis dengan reduksi, triangulasi, penyajian, dan verifikasi. Penelitian ini menganalisis faktor-faktor yang menghambat implementasi Rekam Medis Elektronik di Klinik Pratama Harapan Bunda Boyolali. Faktor yang diidentifikasi meliputi man, method, machine, material, dan money. Hasil menunjukkan bahwa pengetahuan petugas, ketersediaan SOP, jaringan internet, dan kendala sistem menjadi penghambat utama, meskipun anggaran untuk pengembangan sudah tersedia.
Co-Authors Awali'ah, Salsabilla Isro'atul Nadilla Putri Melisa Sri Surani Wahyu Ratri Sukmaningsih Widiyanto, Wahyu Wijaya