Article Per Year (5 Year)
p-Index From 2021 - 2026
1.363
P-Index
This Author published in this journals
All Journal JAIS (Journal of Applied Intelligent System) JOINT (Journal of Information Technology Jurnal Puan Indonesia Tedc Journal of New Trends in Sciences
Ayu Hendrati Rahayu
Politeknik TEDC
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary

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

Found 13 Documents
Search

 1   2 
PENYULUHAN TEKNOLOGI DALAM KEHIDUPAN RUMAH TANGGA Nia Ekawati; Shandy Tresnawati; Novita Lestari Anggreini; Ayu Hendrati Rahayu
PUAN INDONESIA Vol. 4 No. 2 (2023): Jurnal Puan Indonesia Vol 4 No 2 Januari 2023
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v4i2.122

Abstract

Humans express technology starting from their intellect and mind. With this, humans have a desire to get out of trouble, wanting to live better, more comfortable and safer. Productive counselling that we do to residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan regarding technology counselling in household life. The purpose of this service is to convey to residents about applications that can be used in everyday life to help activities carried out by each of them. The application used is on average a digital application that we can download on the playstore or Appstore platform. Based on the results of the service carried out on residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan, they were quite enthusiastic about the application that the service team conveyed, some even asked for help to install the application they wanted.
TINJAUAN KETIDAKLENGKAPAN BERKAS KEMATIAN GUNA MENUNJANG KUALITAS LAPORAN DI RUMAH SAKIT BHAYANGKARA TK.II SARTIKA ASIH BANDUNG Ayu Hendrati Rahayu; Gerinata Ginting; Riri Damayanti Apnena; Narisya Nur Intan Paba
Jurnal TEDC Vol 16 No 3 (2022): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Based on observations in May 2022 carried out at Bhayangkara TK.II Sartika Asih Hospital, Bandung by taking medical record files who died in 2021, from 70 files there were 38 incomplete files and incomplete filling of death files with an average percentage of 72% which includes cause of death, time interval, and authentication. This study seeks to understand the incompleteness of the death file in order to support the quality of reports at Bhayangkara TK.II Sartika Asih Hospital, Bandung. The population in this study were medical record files who died in 2021, which were 238 medical record files. Samples were taken using the Slovin formula with the results of 70 samples. The percentage results regarding the incompleteness of the death file form at Bhayangkara TK.II Sartika Asih Hospital Bandung in 2021 based on the cause of death variable by 54%, based on the time interval variable by 87%, based on the authentication variable by 75%, and based on the overall average obtained by 72%.The author suggests that it is better to fill out the cause of death report more carefully and carefully so that the quality of reports at Bhayangkara TK.II Sartika Asih Hospital Bandung becomes more qualified.
Analisis Big Data dalam Deteksi Dini Wabah Penyakit Menular untuk Mendukung Sistem Kesehatan Publik Ayu Hendrati Rahayu; Castaka Agus Sugianto; Dini Rohmayani
Journal of New Trends in Sciences Vol. 2 No. 1 (2024): Februari: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i1.785

Abstract

The rapid spread of infectious diseases remains a major global health threat, and early detection is vital to minimize their impact. This research investigates the role of predictive modeling using big data in the early detection of infectious disease outbreaks. The primary objective of this study is to assess the effectiveness of big data systems in forecasting potential outbreaks and the implications of these forecasts for public health systems. The study employs machine learning-based predictive models to process large health datasets, including electronic health records, sensor data, and social media information. The results demonstrate that the predictive model achieved an accuracy rate of 87%, significantly surpassing traditional methods in terms of early detection. By integrating various data sources such as medical records, sensor networks, and real-time digital traces, the system is capable of providing more accurate, timely predictions, which can greatly improve the ability of public health authorities to respond effectively to emerging health threats. Furthermore, the application of big data in public health not only improves the speed of response but also enhances the allocation of resources, allowing for more targeted and efficient interventions. Despite these successes, challenges remain, particularly in relation to data quality, privacy, and regulatory issues, which could hinder the broader implementation of such systems. Thus, collaboration between government agencies, healthcare institutions, and technology developers is essential to overcome these obstacles and ensure the sustainable integration of big data into public health infrastructures. This research highlights the significant potential of big data to transform public health responses, offering valuable insights for future epidemic management strategies.
Co-Authors Aditia Gusman Ari Sudrajat Dini Rohmayani Dini Rohmayani Encep Hada Encep Hada Gerinata Ginting Intan Pujilestari Luqman Nul Hakim Luqmanul Hakim Narisya Nur Intan Paba Neni Rohaeni Neni Rohaeni Nia Ekawati Novi Irawati Novita Lestari Anggreini Riri Damayanti Apnena Rizqy Dimas Monica Shandy Tresnawati Sugianto, Castaka Agus Suharto . Suharto Suharto Wiwin Tri Antika Wowo Trianto