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All Journal Jurnal Buana Informatika Jurnal Penelitian Kesehatan Unnes Journal of Public Health Jurnal Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Aisyah : Jurnal Ilmu Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan
Ervina Rachmawati
Politeknik Negeri Jember
Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Journal : JTIM : Jurnal Teknologi Informasi dan Multimedia

 1 
Sistem Informasi Peminjaman dan Pengembalian Rekam Medis Rawat Inap Berbasis Web di RSUD Haji Surabaya Ervina Rachmawati; Sitti Fa’Isil Karomah; Selvia Juwita Swari; Donny Adhasari Hasan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 1 (2022): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i1.214

Abstract

The recording, borrowing and returning of medical record documents at the Haji Hospital in Surabaya still uses a manual borrowing expedition book in the filing section. The medical record documents returned are not in accordance with the SOP (Standard Operating Procedure) and SPM (Minimum Service Standard) of the hospital. The purpose of this study was to design and create a web-based information system for borrowing and returning medical records at the Haji Hospital in Surabaya. The method used in this research is waterfall. The stages of the waterfall method are requirements analysis, system design, system creation and system testing. Data collection was done by interview, observation, and documentation. The result of this research is a web-based information system for borrowing and returning medical records. Suggestions for the Haji Hospital of Surabaya are expected to be able to use a web-based information system for borrowing and returning medical records to facilitate the electronic recording process, speed up reporting and reduce the incidence of delays.
Sistem Prototype Klasifikasi Risiko Kehamilan Dengan Algoritma k-Nearest Neighbor (k-NN) Atma Deharja; Maya Weka Santi; Muhammad Yunus; Ervina Rachmawati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 1 (2022): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i1.229

Abstract

The increasing maternal mortality rate (MMR) in Indonesia in the last two decades has become a serious concern for the government. Moreover, Jember Regency is one of the areas with the highest MMR in East Java. Where in 2018 the AKI of Jember Regency was ranked 10th with an AKI of 114/100,000 KH and was the 5th highest rank in 2019 with 133.4/100,000 KH. The process of recording pregnancy data that is still done manually can also affect the AKI process because it can slow down the decision-making process for pregnant women who are at risk. In this study, the focus is on creating a recording system for pregnant women according to cohort data and equipped with features to support pregnancy risk classification according to the KSPR standard. So that it is expected to provide an early decision on the risk of pregnancy to related parties. The results of the system trial show that the k-NN system developed is able to help the computational process faster by complementing the classification results with an accuracy rate of up to 80%.
Co-Authors Adlien Rizqo Fadillah Agni Candramawa Sholikha Agus Salim Alia Chaerunisa Andri Permana Wicaksono Ani Nuraini Atma Deharja Atma Deharja avan fadholi Bakhtiyar Hadi Prakoso Dara Ayu Nirwana Demiawan Rachmatta Putro Mudiono Desi Syahbaniar Dito Yogo Waskito Donny Adhasari Hasan Dwi Rizky Permatasari Efri Tri Ardianto Fahirah Tamara Salim Faiqatul Hikmah Fatika Laily Novitasari Feby Erawantini Firdaus Sholehah Fitriani Fitriani Gamasiano Alfiansyah Gandu Eko Julianto Suyoso Hayu Ning Widyastuti Indah Muflihatin Kharishma Dyah Febriyani Maya Weka Santi Melati Ayu Pratiwi Muhammad Yunus Novita Nuraini Nugroho Setyo Wibowo nurmawati, ida Rossalina Adi Wijayanti Selvia Juwita Swari Sitti Fa’Isil Karomah Sustin Farlinda Veronika Vestine Yusfa Ike Rustiana