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WEBSITE-BASED EXPERT SYSTEM: DIABETES MELLITUS DIAGNOSIS BY FORWARD CHAINING METHOD Wijaya, Wahyu Wijaya Widiyanto; Sri Wulandari; Zahroh, Salsabila Ummu
Prosiding Seminar Informasi Kesehatan Nasional 2022 : SIKesNas 2022
Publisher : Fakultas Ilmu Kesehatan Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.415 KB) | DOI: 10.47701/sikenas.vi.1630

Abstract

Diabetes Melitus merupakan salah satu penyakit berbahaya yang disebabkan kurangnya pengetahuan masyarakat mengenai gejala penyakit yang ditimbulkan. Penelitian ini menyajikan rancang bangun aplikasi perangkat lunak sistem pakar yang dipergunakan menjadi perangkat diagnosis diabetes melitus berbasis website. Tujuan penelitian ini mendeteksi diabetes melitus berdasakan gejala yg sedang dialami oleh seseorang berdasarkan tipe penyakit diabetes melitus serta persentase kemungkinan terjadinya penyakit tersebut. Metode yang digunakan pada perancangan software sistem pakar ini memakai metode forward chaining. Tahapan dalam pengembangan software sistem ahli ini memakai Expert System Development Life Cycle (ESDLC). Hasil perancangan software sistem pakar yg digunakan untuk diagnosis penyakit diabetes melitus sesuai gejala yang diimplementasikan menggunakan akurasi hasil uji pada ahli yaitu 83,33%.
Analysis of Readiness For Implementation of Electronic Medical Records Using DOQ-IT Method Widiyanto, Wahyu Wijaya; Sulistyati, Hanifah Shobri; Zahroh, Salsabila Ummu
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.146

Abstract

This study addresses the challenge of managing medical records in Indonesia’s health sector, particularly focusing on the transition to electronic medical records (RME) as mandated by PMK No. 24 of 2022. The primary objective is to assess the readiness for implementing Electronic Medical Records (EMR) at the Milla Husada Clinic using the DOQ-IT (Doctor’s Office Quality-Information Technology) Approach. The research adopts a descriptive design with a quantitative approach, utilizing questionnaires to gather data from 40 clinic officers. Total sampling technique was employed for participant selection. Univariate analysis was used for data interpretation. The findings reveal a high level of readiness for RME implementation at the clinic, with a total readiness score of 117.74, placing it in range III, indicative of a very ready status. The readiness levels, in descending order of scores, were: organizational work culture (4.34), governance and leadership (4.26), IT infrastructure (4.23), and human resource readiness (3.80). Despite the overall readiness, the study identifies human resources as an area requiring further enhancement, specifically the need for specialized training in RME implementation. This research highlights the critical areas for improvement to ensure successful adoption of electronic medical records in the healthcare setting.