Article Per Year (5 Year)
p-Index From 2021 - 2026
1.728
P-Index
This Author published in this journals
All Journal JIKO (Jurnal Informatika dan Komputer) Jurnal TAM (Technology Acceptance Model) Jurnal Informasi Kesehatan Indonesia (JIKI) Jurnal Manajemen Informasi dan Administrasi Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Respati JTIK (Jurnal Teknik Informatika Kaputama) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Inovatif Wira Wacana Jurnal TAM (Technology Acceptance Model) Nusantara Sehat: Jurnal Kesehatan Indonesia
Syamsu Windarti
STIKES Akbidyo
Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Engineering Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Analisis Data Penyakit DBD Dengan K-means clustering di Kabupaten Bantul Menggunakan Data mining utami, rizki khusna; Windarti, Syamsu; Muslim, Muhammad
Jurnal Manajemen Informasi dan Administrasi Kesehatan Vol. 6 No. 2 (2023): JMIAK
Publisher : Program Studi D3 Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jmiak.v6i2.3886

Abstract

Dinas Kesehatan (Dinkes) Bantul mencatat kasus DBD tahun 2021 dan 2022 mengalami kenaikan yaitu 410 kasus dan 885 kasus. Teknik clustering data mining dengan tools orange dapat digunakan untuk  menemukan cluster kasus DBD di Kabupaten Bantul. Maka dari itu telah dilakukan clustering dengan teknik K-means clustering menggunakan tools orange untuk mengetahui tingkat persebaran kasus DBD di Kabupaten Bantul. Dengan K-means clustering dihasilkan 3 cluster yaitu tinggi, sedang dan rendah. Dinkes Bantul sudah berupaya menanggulangi DBD dengan PSN, larvasidasi, fogging, penyuluhan dan Wolbachia 2022. Pemanfaatan SISKLB terdapat pengingat saat kasus DBD tinggi terus-menerus. Hasil uji Anova one way terdapat perbedaan rata-rata jumlah kasus DBD secara signifikan dengan p value 0.000.
Desain Desain Antar Muka Pengguna Aplikasi Telemedicine: - Windarti, Syamsu -
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.v12i1.659

Abstract

During the COVID-19 pandemic, there was a trend of decreasing number of visits to 18 community health centers in Yogyakarta City. People are afraid to go to the community health center because they are afraid of being exposed to the Covid 19 virus. For this reason, facilities are needed that help people feel safe and protected from exposure to the Covid virus when checking their health condition. This facility is in the form of a system that makes it easier to consult and carry out examinations without having to come and meet with a doctor in person. One example of a system is a mobile-based system. This research aims to produce a user interface design for a teleconsultation application in prototype form by applying the Figma multimedia application program which is specifically for designing a prototype. The research was carried out using the literature study method and the observation method by observing teleconsultation applications that already exist in the Play Store/App Store. The design phase carried out starts from designing the initial prototype, dynamic prototype, and evaluating the results.This research produced several designs consisting of; (1) Patient interface prototype, (2) Doctor interface prototype, (3) Pharmacy interface prototype, and (4) Admin interface prototype. With this research, an online consultation system interface design has been produced which can be implemented in the form of an actual application so that it can help the public to carry out online consultations without having to meet face to face.
Visualisasi Data Mining Untuk Skiring Digital Covid-19 Pada Instansi Muslim, Muhammad; Windarti, Syamsu
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 7 No. 1 (2023): Volume 7, Nomor 1, Januari 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v7i1.59

Abstract

Digital skrining pada suatu instansi merupakan salah satu masalah dimasa pandemi covid-19. Digital skrining diterapkan untuk membantu proses untuk mengetahui mobilitas para pegawai ataupun karyawan pada instansi, adapaun kendala yang didapatkan yakni data yang didapatkan masih berbentuk data yang harus diolah lebih lanjut. Sehingga diperlukan bantuan tools tambahan yang dapat memvisualkan data untuk disesuaikan dengan kebutuhan. Maka dari itu diterapkan metode classification tree menggunakan data mining dalam memvisualkan data skrining covid-19. Visualisasi yang dihasilkan berupa riwayat mobilitas pegawai instansi mencakup riwayat perjalan yang menerapkan prokes ataupun tidak, data perjalanan di daerah kota jogja maupun luar kota seperti bantul, kulon progo dan sekitarnya.
Analisis Spasial Kasus Tuberkulosis Menggunakan QGIS sebagai Upaya Deteksi Dini Risiko Penularan di Kabupaten Bantul Syamsu Windarti; Avito Andhika Arimukti Stephanus; Muhammad Muslim
Nusantara Sehat: Jurnal Kesehatan Indonesia Vol. 1 No. 6 (2026): Nusantara Sehat: Jurnal Kesehatan Indonesia
Publisher : PT Bukuloka Literasi Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65307/ns.v1i6.221

Abstract

Introduction: Tuberculosis (TB) remains a public health issue. The high number of cases highlights the need for early detection through spatial analysis. Objective: This study aimed to analyze TB case distribution using QGIS as a basis for early detection of transmission risk in Bantul Regency. Methods: This quantitative descriptive study used TB case data for 2022–2024 obtained from the Bantul District Health Office through the Tuberculosis Information System (SITB), comprising 4,052 cases. Preprocessing included data cleaning, data selection, data normalization, and data transformation before spatial analysis using QGIS. Spatial data were obtained from the Special Region of Yogyakarta Geoportal, which provides shapefiles of sub-district areas. Processed data were presented on a dashboard as tables, charts, and case distribution maps. Results: A total of 4,052 TB cases were recorded from 2022 to 2024. Sewon had the highest number of cases, with 547 cases, followed by Bantul with 371 cases and Banguntapan with 363 cases. Cases were concentrated in the central to northern regions, with consecutive increases in Sewon, Banguntapan, and Bambanglipuro. The mapping results were developed into a web-based dashboard. Conclusion: Spatial analysis using QGIS can illustrate TB case distribution patterns and help identify areas at risk of increased transmission.   Keywords: QGIS, spatial analysis, tuberculosis
Co-Authors Avito Andhika Arimukti Stephanus Damayanti, Ariesta Enny Itje Sela Femi Dwi Astuti Muhammad Fahrur Rifai Muhammad Muslim Muhammad Muslim, Muhammad Nugroho, Muhammad Agung Sumiyatun Supriyanti Supriyanti Totok Suprawoto utami, rizki khusna