Ditemukan 34 dokumen yang sesuai dengan query :: Simpan CSV
Leptospirosis is a zoonosis, an infectious disease caused by the Leptospira bacteria. Leptospirosis is often underreported or misdiagnosed because the initial symptoms of leptospirosis are symptoms of other acute febrile diseases (dengue, malaria, flu-like syndrome). The occurrence of leptospirosis cases is closely related to the chain of transmission, and the chain of leptospirosis transmission is related to many factors. Occupation and the presence of rats are risk factors for leptospirosis. Banten is an endemic area of Leptospirosis, was chosen to be the location for Sentinel Leptospirosis surveillance, precisely located in Kab, Tangerang, and Kab. Serang. Publications on the relationship of risk factors are still limited, and research about leptospirosis is mostly done in Central Java or DI Yogyakarta. This study used a cross-sectional design. The results of this study did not show that there was a significant relationship between work and the incidence of leptospirosis in leptospirosis suspects in 2 districts where Leptospirosis Sentinel Surveillance was located in Banten Province in 2017 - 2019 The relationship between the presence of rats and the incidence of leptospirosis showed a significant relationship, the presence of rats and activity in rivers/ponds/ drains together to provide an antagonistic relationship thus making the risk when these two variables are together smaller than the risk of each variable
ABSTRAK
Tesis ini bertujuan untuk mengembangkan sistem informasi surveilans imunisasidi Kota Bekasi yang dapat memudahkan dalam pengumpulan, pengolahan, dananalisa data serta memudahkan pengambil kebijakan dalam monitoring danevaluasi program. Pengembangan sistem menggunakan model incremental daniteratif dengan tahapan: perencanaan, analisis, desain, dan implementasi. Hasilpenelitian berupa prototype yang menghasilkan basis data menggunakan MySQLuntuk data-data imunisasi dan KLB PD3I dan inputing data secara onlinemenggunakan PHP. Output prototype berupa tabel, grafik dan peta diharapkandapat membantu pengambil kebijakan baik di dinas kesehatan maupun puskesmasdalam mencegah terjadinya KLB PD3I dan dapat melakukan perencanaan denganevidence based.
ABSTRACT
This thesis aims to develop an immunization surveillance information system inBekasi Municipality which can facilitate the collection, processing, and analysisof data and enable policy makers in monitoring and evaluation program. Thesystem development uses the incremental and iterative model with phases:planning, analysis, design, and implementation. The thesis results a prototype thatgenerates database using MySQL for immunization data and outbreak of diseasesthat can be prevented by immunization and inputing data online using PHP. Theoutput are in tables, graphs and maps. These can support decision makers in boththe district health office and public health care in preventing outbreaks of diseasesthat can be prevented by immunization and making evidence based policy.
Penyakit tuberkulosis sejak tahun 8000SM telah ditemukan namun masih menjadi masalah dibidang kesehatan, sehingga Perserikatan Bangsa-Bangsa (PBB) memasukkan penanggulangan penyakit tuberkulosis termasuk dalam tujuan pembangunan millennium (MDGs). Strategi Directly Observed Treatment Shortcourse (DOTS) masih dilakukan untuk mencapai indikator keberhasilan program, diantaranya indikator penjaringan suspek dan penemuan kasus (Case Detection Rate/CDR) dan untuk mendukung DOTS diperlukan pengembangan sistem informasi surveilans tuberkulosis. Sugiarsi (2005) telah mengembangkan sistem informasi surveilans tubekulosis namun tidak digunakan petugas karena item data yang akan dimasukkan dirasa belum lengkap, petugas tidak menemukan fasilitas untuk membaharui data dan buku manualnya. Oleh karena itu diperlukan pengembangan sistem yang dapat menjawab kebutuhan petugas di dinas kesehatan. Penelitian ini menggunakan metode penelitian pendekatan kualitatif dan rancangan penelitian ini menggunakan pendekatan rancangan pengembangan sistem gabungan SDLC dan prototipe yang terdiri dari mengevaluasi sistem yang ada, mendifinisikan kebutuhan sistem yang baru, mendesain sistem berdasarkan identifikasi kebutuhan end user dan pembangunan/pengembangan prototipe. Pengembangan sistem ini menggunakan data sekunder dan data primer dengan wawancara dan konfirmasi. Kemudian sistem yang dikembangkan diujicobakan kepada petugas tuberkulosis di dinas kesehatan untuk mendapatkan masukan demi kesempurnaan sistem. Pengembangannya meliputi basis data, perangkat lunak, antar muka menu manajemen data yang dapat membaharui data (updating data), layanan akses berbasis web dan sistem informasi geografis yang digunakan untuk menggambaran sebaran kasus secara online dengan perangkat lunak tidak berbayar AppServ dengan alamat http://localhost/surv-tb/. Sistem informasi ini berguna untuk mempercepat pencatatan dan pelaporan penyakit tuberkulosis dan representasi analisis spasial diharapkan mampu menjadi alternatif informasi untuk membuat keputusan program tuberkulosis. Disisi lain, sistem informasi ini mempunyai fasilitas merekap laporan dan menampilkan indikator penjaringan suspek dan CDR. Penelitian yang telah dilakukan ini telah menghasilkan rancangan sistem informasi surveilans di Kabupaten Sukoharjo yang dapat mengkoreksi dan mengendalikan input dan proses yang dapat menghasilkan data dan informasi yang berkualitas sehingga diharapkan sistem ini dapat memperkuat surveilans tuberkulosis di Wilayah Dinas Kesehatan Kabupaten Sukoharjo. Kata kunci : Sistem informasi, Surveilans tuberkulosis.
Since 800SM, tuberculosis disease has been found, but it is still be a problem in the world, thus the United Nations (UN) decided tuberculosis eradication is part of Millennium Development Goals (MDGs). Strategy of Directly Observed Treatment Short-course (DOTS) have been made to achieve program indicators successfully, the indicators were such as suspects catching and cases discovery (Case Detection Rate/CDR). The development of tuberculosis surveillance information system can support the DOTS. Sugiarsi (2005) developed a Surveillance information system, but the system could not used because a items of data input were not completed yet, the officers were not found a facility for updating the data and the lack of manual book. Therefore, system development have goals to answer the needs of health department workers. This research used qualitative research methods approach and the study design used a combined approach between SDLC-prototype, where it is consists of existing systems evaluation, defining a new system requirements, designing the system based on the needs of end user identification and the development/prototype development. The research used the secondary and primary data via the interviews and confirmation. The system is tested to recording and reporting officer at the health department to get input for the perfection of the system. The development of databases, software, data management menu interface, the web-based services access and geographic information systems has been performed by free software (AppServ) with the address http:// localhost / surv-tb/. This information system will useful to speed up the recording and reporting of tuberculosis diseases, plus and the spatial analysis image is expected to be an alternative information to make the decision. In addition, this systems have facilities to summarize reports plus displaying a suspects catching and CDR indicators by graphic. The conclusion, This research result a design of surveillance information systems corrects and controls the input data and process to produce a quality of data and information for strengthening the tuberculosis surveillance system in Sukoharjo. Keywords : Information system, tuberculosis surveillans
Community involvement is one of the important keys to handling public health problems, especially during a pandemic. The magnitude of the efforts made by the government needs to be balanced with the active participation of the community in the crisis response to the handling of the COVID-19 pandemic so that it can be handled quickly. Good practice in several countries with high public awareness to be actively involved in supporting the handling of COVID-19, the success rate in overcoming the impact of COVID-19 is quite high when compared to countries with citizens who are quite passive or even do not want to be involved at all (apathetic). The government has limitations, namely not being able to reach all components of people's lives. Thus, community involvement and participation will facilitate the government's task in carrying out the policies that have been made. The design of this study was quantitative with a cross sectional method to assess the correlation between the performance of Community-Based Surveillance (SBM) cadres and independent variables conducted at 11 Puskesmas in Depok City. In order to enrich the results of the discussion and implementation of the role of relevant agencies, the researcher added information sourced from in-depth interviews with key informants. The results showed that variables related to the early detection and reporting of COVID 19 by cadres, including marital status (p value = 0.0001), length of time being a cadre (p value = 0.038), training status (p value = 0.002), and professional behavior p value = 0.033). In addition, the most dominant factors influencing the performance of cadres in the early detection and reporting of COVID-19 is marital status after being controlled by other variables. The confounding variable in this study is the length of time being a cadre. Marital status had an OR of 15.34, meaning that marital status increased 15 times the performance of cadres in early detection and reporting of COVID-19 (95%CI=1.9-118.8) after being controlled by other variables with a p-value of 0.009. Furthermore, community-based surveillance training increased cadres' performance 3 times in early detection and reporting of COVID-19 (95%CI=1.3-5.05). However, when viewed from the p value, the training status gets the smallest number, namely 0.006, so it can be said that training is the most influential variable on the performance of SBM cadres in finding and reporting COVID-19 cases in Depok City.
