Article Per Year (5 Year)
p-Index From 2021 - 2026
1.633
P-Index
This Author published in this journals
All Journal PROFESI || JURNAL KESEHATAN PROFESIONAL ISLAMI Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Indonesian Journal of Health Information Management (IJHIM) PELS (Procedia of Engineering and Life Science)
Sri Sugiarsi
APIKES Mitra Husada Karanganyar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Hubungan Teknologi Dan Organisasi Dengan Kepuasaan Pengguna Dalam Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) Di Rumah Sakit Umum Daerah Ajibarang Nurcahyani, Intan Ari; Sugiarsi, Sri; Rohmadi
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 12 No 1 (2024)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/jmiki.v12i1.653

Abstract

Sistem Informasi Manajemen Rumah (SIMRS) adalah suatu sistem teknologi informasi komunikasi yang memproses dan mengintegrasikan seluruh alur proses pelayanan Rumah Sakit. SIMRS yang dikembangkan mandiri oleh tim IT RSUD Ajibarang masih ada permasalahan, diantaranya respon time yang belum baik, terjadi downtime dan output yang dihasilkan belum sesuai dengan kebutuhan. Evaluasi suatu sistem informasi merupakan suatu usaha nyata untuk mengetahui kondisi sebenarnya suatu penyelenggaraan sistem informasi. Salah satu metode evaluasi terhadap keberhasilan penggunaan sistem informasi yakni metode HOT FIT. Tujuan penelitian adalah untuk mengetahui hubungan teknologi, organisasi dan kepuasan pengguna dengan metode HOT-Fit. Jenis penelitian adalah penelitian kuantitatif bersifat cross sectional. Sample penelitian adalah pengguna SIMRS sebanyak 79 orang yang ditentukan menggunakan rumus Lemeshow, diambil secara simple random sampling. Analisis data menggunakan uji person correlation. Hasil penelitian menunjukan bahwa ada hubungan yang signifikan dan berpengaruh positif antara kualitas sistem (r:0.644), kualitas informasi (r:0.783), kualitas layanan (r: 0.447), struktur organisasi (r: 0.423) dan net benefit (r: 0.531) dengan kepuasan pengguna. Simpulan dalam penelitian ini adalah ada hubungan teknologi dan organisasi dengan kepuasan pengguna SIMRS.
Quality of Electronic Medical Record Information and Satisfaction of Electronic Medical Record Users at Pandan Arang Boyolali Regional Hospital Sugiarsi, Sri; Mulyono, Sri; Sutrisno, Trismianto Asmo
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1982

Abstract

Information Quality can be defined as how well the function concerning the value of the output of information produced or managed by the application/ system for users can meet everyone’s expectations and will help complete their work. Information Quality measurement indicators (Riskinanto, 2016) are information quality based on accuracy value, information quality based on timeliness of delivery, and information quality based on relevance. This study aims to explaining the quality of information and user satisfaction of electronic medical records at the Pandan Arang Regional General Hospital. This study is descriptive with the aim of describing the quality of information and satisfaction of electronic medical record users. The sample was 77 people consisting of doctors, nurses and medical record officers. Primary data were collected using questionnaires. Data analysis using descriptive analysis. Results: of the information quality variable have a mean of 17.5. With a mean of 17.5, it can be concluded that the quality of information is included in the very high-quality category with an interval of 16.8-20. information satisfaction variable have a mean of 8.4. With a mean of 8.4, it can be concluded that information satisfaction falls into the satisfied category with an interval of 8.4-10. Although information satisfaction has an average value that falls into the satisfied criteria, there are still respondents who choose to be quite satisfied regarding the information satisfaction received by system users. Conclution: Electronic medical record (EMR) information quality and user satisfaction are closely related, impacting the effectiveness and adoption of EMR systems in healthcare settings. Research shows that while EMRs can improve perceived medical record quality
DATA MINING PENYAKIT TERBANYAK BERDASARKAN DECISION TREE ALGORITMA C4.5 DI RSUD PANDAN ARANG BOYOLALI Al Mubarok, Hafiddhudin; Sutrisno, Trismianto Asmo; Sugiarsi, Sri
Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Vol. 10 No. 1 (2025): Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda Edisi Februari
Publisher : Akademi Perekam dan Informasi Kesehatan Imelda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52943/jipiki.v10i1.1512

Abstract

Top 10 disease data is data on diseases that often appear and occur most often. Data collection of the top 10 diseases is used to determine disease patterns in the community. Decision tree classification method is a model that maps observations of an item so that a conclusion is obtained about the target value of an item described in the form of a tree model. The C4.5 algorithm is method for creating a decision tree based on the training data that has been provided. The purpose of this research is to result in the classification of the most diseases based on the C4.5 decision tree algorithm of Pandan Arang Boyolali Hospital using excel and RapidMiner. This research design is descriptive observational. The data collection technique in this study was observation, with a total net data of 3449 data. The results of this research, there are no differences in results between excel and RapidMiner which results in the classification of the most diseases, which are blocks A00-B99, Z00-Z99, I00-I99, O00-O99, J00-J99, and E00-E90, and 18 rules are obtained. Evaluation of the performance of the C4.5 algorithm decision tree classification model using confusion matrix produces an accuracy value of 25.14%.
Co-Authors Al Mubarok, Hafiddhudin Ali Djamhuri Asmo Sutrisno, Trismianto Jayanti, Asykar Kelvin Ferniawan Ningtyas, Nandani Kusuma Nurcahyani, Intan Ari Rohmadi Rohmadi Rohmadi Sri Mulyono Suryo Ediyono Susanti, Ade Novalia Trismianto Asmo Sutrisno Wariyanti, Astri Sri Waskito, Dito Yogo Wulandari, Dewi Septiana Yuniati, Putri Utami