Literature Review : Analisis Fishbone Diagram dalam Pelaksanaan Early Warning Alert And Respon System (EWARS) pada Deteksi KLB

Kartika Sari Wanodya

doi:10.25139/htc.v3i1.2293

Literature Review : Analisis Fishbone Diagram dalam Pelaksanaan Early Warning Alert And Respon System (EWARS) pada Deteksi KLB

J-HESTECH (Journal Of Health Educational Science And Technology) ◽

10.25139/htc.v3i1.2293 ◽

2020 ◽

Vol 3 (1) ◽

pp. 43

Author(s):

Kartika Sari Wanodya

Keyword(s):

Literature Review ◽

Early Warning ◽

Fishbone Diagram

Meningkatnya kejadian luar biasa (KLB) menyebabkan suatu negara harus waspada serta siap akan wabah penyakit menular karena merupakan salah satu penyebab kesakitan, kematian dan dapat mengganggu produktivitas sehingga berdampak pada aspek seperti ekonomi dan sosial. Di Indonesia sendiri terdapat Early Warning Alert And Respon System atau EWARS yang diperlukan guna deteksi dini KLB. EWARS akan menampilkan alert ketika pencatatan suatu kasus melebihi ambang batas suatu wilayah. EWARS yang berjalan baik dapat dilihat dari ketepatan dan kelengkapan laporannya sehingga akan menghasilkan informasi data yang akurat dan berkualitas. Tujuan dari penelitian ialah menganalisis pelaksanaan Early Warning Alert And Respon System (EWARS) dalam deteksi dini KLB dengan fishbone diagram. Penelitian ini menggunakan metode literature review yang dianalis dengan fishbone diagram.Dilihat dari lima tools manajemen maka hasilnya yaitu: (1) man : adanya rangkap tugas dan jabatan pada petugas, pelatihan yang belum merata terutama petugas yang baru; (2) methode: pengiriman laporan belum tepat waktu dibawah standart dan kelengkapan laporan tiap daerah tidak signifikan ; (3) material : sebagian petugas belum memiliki buku panduan salah satunya karena masih terbawa oleh petugas lama dan belum ada surat tugas untuk pendelegasian; (4) money : belum ada alokasi dana; (5) machine : petugas menggunakan handphone dan kendaraan pribadi. Pelaksanaan EWARS belum dapat dikatakan maksimal sehingga perlu adanya monitoring dan evaluasi rutin program di tiap fasyankes tingkat pertama, pendataan SDM untuk pelatihan, perhitungan beban kerja guna pemerataan pekerjaan, adanya SK atau surat tugas sebagai pendelegasian untuk komitmen petugas, adanya umpan balik untuk meningkatkan motivasi serta kesadaran petugas dan pengajuan alokasi dana.

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Development and validation of early warning score system: A systematic literature review

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2020.103410 ◽

2020 ◽

Vol 105 ◽

pp. 103410 ◽

Cited By ~ 2

Author(s):

Li-Heng Fu ◽

Jessica Schwartz ◽

Amanda Moy ◽

Chris Knaplund ◽

Min-Jeoung Kang ◽

...

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Early Warning ◽

Early Warning Score ◽

Score System ◽

System A ◽

Development And Validation

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Research Trend of Eco-Security and Relevant Topics-Taiwan and Mainland China as Case Study

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.5089 ◽

2011 ◽

Vol 71-78 ◽

pp. 5089-5093

Author(s):

Ching I Wu ◽

Ping Yu Tsai ◽

Yi Yen Wu

Keyword(s):

Literature Review ◽

Early Warning ◽

Rural Areas ◽

Urban Areas ◽

Mainland China ◽

Research Trend ◽

Online Information ◽

Related Research ◽

Ecosystem Risk

The design of this study employed an approach of literature review. Data were collected primarily by means of the search for the key word ‘ eco-security’ on the Internet in order to analyze and classify the related studies. This study organized the works, relative to the type of landscape , published in Chinese and English online journals by researchers in Taiwan and Mainland China. This pilot study tried to broaden the ground of limited research on eco-security by searching for more related online information including ‘ecological security’, ‘ecosystem & security’, ‘ecosystem & risk assessment’ and ‘environmental monitor & early-warning’. Therefore, this study had two purposes. One was to understand the classification, number and trend of the related research on eco-security through literature review. The other was to analyze the content of the related research on eco-security. This involved understanding the theories, assessment approaches, assessment subjects, applied instruments and new possibilities of the future study in this field. Our data consisted of 233 studies published from 1988 to 2010. In terms of issues, data were divided into four parts: eco-security, landscape security patterns, ecosystem risk and environmental monitor &early-warning. In terms of subjects , data were differentiated into urban areas, rural areas, river basins and particular areas and un-designated ones. In terms of purposes, three types of data were distinguished: theories, applications and dynamics. Finally, semi-natural or artificial ecosystem becomes the focus and Data Mining Theory’s tools will be used generally for constructing the non-linear model of eco-security assessments

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Early Warning Systems (E-Wars) Design for Early Detection of Stroke Incidence

Folia Medica Indonesiana ◽

10.20473/fmi.v54i2.8864 ◽

2018 ◽

Vol 54 (2) ◽

pp. 136

Author(s):

Feby Erawantini ◽

Rinda Nurul Karimah

Keyword(s):

Risk Factors ◽

Early Detection ◽

Literature Review ◽

Early Warning ◽

Early Warning Systems ◽

Warning Systems ◽

Stroke Risk Factor ◽

Inference Mechanism ◽

High Blood Glucose ◽

Stroke Incidence

Stroke is a neurological disease whose occurrence increases from year to year and causes disability and death worldwide. Stroke is caused by many factors or multicausal. This was a qualitative study conducted for one year with system design using prototype method. The prototype method began with the identification of needs, mapping, and then inference mechanism. Identification of needs was based on the literature review and discussion. The literature review from 15 sources consisting of journal articles, books and proceedings was done by comparing, contrasting, criticizing, synthesizing and summarizing. Stroke risk factor discussion were carried out with neurologists. The results of the review and literature discussion found identification of factors that cause stroke, which consisted of hypertension, high blood glucose, cholesterol, heart disease, behavioral factors, such as smoking behavior and alcoholism, stress and other causes. The risk factors of stroke were then mapped in the form of mobile application prototype through inference mechanism. The output in this study was early warning systems (E-WARS) prototype for early detection of stroke occurrence. The prototype results were expected to be used in operations into mobile applications that were beneficial to the public, in particular for self-control and personal risk factors for stroke. It was intended for early screening and early detection of the risk of stroke.

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