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Penelitian ini bertujuan menganalisis peran biostatistik dalam sistem kewaspadaan dini KLB penyakit menular di Puskesmas Asakota Kota Bima dengan pendekatan kuantitatif retrospektif. Data sekunder Oktober–Desember 2025 dianalisis menggunakan statistik deskriptif, pemantauan wilayah setempat, serta evaluasi ambang batas dan sinyal kewaspadaan. Ditemukan 628 kasus, ISPA mendominasi, puncak minggu ke-41.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":27,"@type":70,"position":77},"https://docshare.wps.com/id/document/layanan-kesehatan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/journal-of-natural-sciences-jsn-the-role-of-biostatistics-in-the-early-warning-system-for-infectious-disease-outbreaks-at-asakota-public-health-center-bima-city/159221/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/journal-of-natural-sciences-jsn-the-role-of-biostatistics-in-the-early-warning-system-for-infectious-disease-outbreaks-at-asakota-public-health-center-bima-city/159221.png","ImageObject",300,407,{"name":89,"@type":90},"Arica Lee","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-20","2026-08-29",true,{"@type":99,"interactionType":100,"userInteractionCount":77},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Apa tujuan penelitian ini terkait SKD-KLB di Puskesmas Asakota?","Question",{"text":109,"@type":110},"Penelitian bertujuan menganalisis peran biostatistik dalam sistem kewaspadaan dini KLB penyakit menular di Puskesmas Asakota Kota Bima.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Bagaimana rancangan dan sumber data penelitian?",{"text":114,"@type":110},"Penelitian menggunakan pendekatan kuantitatif dengan desain observasional retrospektif. Data sekunder bersumber dari laporan rutin SKD-KLB periode Oktober–Desember 2025.",{"name":116,"@type":107,"acceptedAnswer":117},"Apa temuan utama terkait jenis kasus selama periode pengamatan?",{"text":118,"@type":110},"Total 628 kasus tercatat, dengan Infeksi Saluran Pernapasan Akut (ISPA) mendominasi (564 kasus, 89,8%). 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Program Studi D4 Teknologi Laboratorium Medis, Universitas Bima Internasional, Indonesia,  \n2. Program Studi D4 Manajemen Informasi Kesehatan, Universitas Bima Internasional, Indonesia.  \n\n| A B ST RA CT |\n| --- |\n| The Early Warning and Response System (EWARS) for outbreaks is a crucial instrument for early detection and rapid response to potential communicable disease epidemics. Biostatistics plays a fundamental role in processing surveillance data into meaningful information for decisionmaking. Objective: This study aims to analyze the role of biostatistics in the early warning system for communicable disease outbreaks atthe Asakota Public Health Center, Bima City. Methods: This research employed a quantitative approach with a retrospective observational design. Secondary data were obtained from routine EWARS reports for the period of October-December 2025 . Data analysis included descriptive statistics, local area monitoring, and evaluation of thresholds and warning signals. Results: A total of 628 cases were recorded during the observation period, with Acute Respiratory Infections (ARI) predominating (564 cases, 89.8%). Other potential outbreak diseases included Acute Diarrhea (51 cases, 8.1%), Suspected Dengue (4 cases, 0.6%), Pneumonia (3 cases, 0.5%), Suspected Typhoid Fever (4 cases, 0.6%), Dysentery (1 case, 0.2%), and Acute Jaundice Syndrome (1 case, 0.2%) . Weekly trend analysis showed fluctuations in ARI cases with the highest peak at week 41 (October) . All cases were reported based on clinical diagnosis without laboratory confirmation. Conclusion: The EWARS at Asakota Public Health Center has been operating with consistent recording and reporting; however, optimization of biostatistics is still required, particularly regarding laboratory confirmation and predictive analysis to improve the accuracy of early outbreak detection.\u003Cbr>Keywords: Biostatistics, early warning system, outbreak, communicable diseases, public health center |\n\nSistem Kewaspadaan Dini Kejadian Luar Biasa (SKD-KLB) merupakan instrumen penting dalam deteksidini dan respons cepat terhadap potensi wabah penyakit menular. Biostatistik berperan fundamental dalam mengolah data surveilans menjadi informasi yang bermakna untuk pengambilan keputusan. Tujuan Penelitian ini bertujuan menganalisis peran biostatistik dalam sistem kewaspadaandini KLB penyakit menular di Puskesmas Asakota Kota Bima. Penelitian menggunakan pendekatan kuantitatif dengan desain observasional retrospektif. Data sekunder diperoleh dari laporan rutin SKDKLB periode Oktober-Desember 2025. Analisis data mencakup statistik deskriptif, pemantauan wilayah setempat (PWS), serta evaluasi ambang batas dan sinyal kewaspadaan. Hasil penelitian ditemukan Total 628 kasus tercatat selama periode pengamatan, dengan Infeksi Saluran Pernapasan Akut (ISPA)  \n* Corresponding author  \ne-mail: [atfalbustanul87@gmail.com](atfalbustanul87@gmail.com)  \nCopyright: © 2026 by auhtors.  \nThis is an open access article under the CC BY-SA license.  \nmendominasi (564 kasus, 89,8%) . Penyakit potensial KLB lainnya meliputi Diare Akut (51 kasus, 8,1%), Suspek Dengue (4 kasus, 0,6%), Pneumonia (3 kasus, 0,5%), Suspek DemamTifoid (4 kasus, 0,6%), Diare Berdarah (1 kasus, 0,2%), dan Sindrom Ikterus Akut (1 kasus, 0,2%) . Analisis tren mingguan menunjukkan fluktuasikasus ISPA dengan puncak tertinggi pada minggu ke-41 (Oktober) . Seluruh kasusdilaporkan berdasarkan","cbCaitieBA3hRkmj","https://ap.wps.com/l/cbCaitieBA3hRkmj","pdf",972326,13,"Indonesian","# Pendahuluan\n# Metode Penelitian\n# Hasil Penelitian\n# Pembahasan\n# Kesimpulan","[{\"question\":\"Apa tujuan penelitian ini terkait SKD-KLB di Puskesmas Asakota?\",\"answer\":\"Penelitian bertujuan menganalisis peran biostatistik dalam sistem kewaspadaan dini KLB penyakit menular di Puskesmas Asakota Kota Bima.\"},{\"question\":\"Bagaimana rancangan dan sumber data penelitian?\",\"answer\":\"Penelitian menggunakan pendekatan kuantitatif dengan desain observasional retrospektif. Data sekunder bersumber dari laporan rutin SKD-KLB periode Oktober–Desember 2025.\"},{\"question\":\"Apa temuan utama terkait jenis kasus selama periode pengamatan?\",\"answer\":\"Total 628 kasus tercatat, dengan Infeksi Saluran Pernapasan Akut (ISPA) mendominasi (564 kasus, 89,8%). Analisis tren mingguan menunjukkan fluktuasi dan puncak tertinggi pada minggu ke-41.\"}]","Jurnal Sains Natural (JSN) - Peran Biostatistik Dalam Sistem Kewaspadaan Dini KLB Penyakit Menular Di Puskesmas Asakota Kota Bima | PDF",20]