ABSTRAK
Awal tahun 2019 terjadi peningkatan insiden DBD di hampir seluruh wilayahIndonesia. Data 2014-2015 menunjukkan DKI Jakarta selalu memiliki IR DBD di atasangka Nasional. Pola peningkatan IR DBD di DKI Jakarta sangat bervariasi antarKelurahan, beberapa Kelurahan mengalami peningkatan kasus sangat tinggi sementaraKelurahan lain justru turun. Penelitian ini bertujuan untuk mengetahui faktor-faktor yangberhubungan dengan peningkatan IR DBD per Kelurahan periode Januari-Mei 2019.Jenis penelitian observasional analitik dengan disain cross sectional. Hasil penelitianmendapatkan model fit multivariat memuat 3 variabel yang mempengaruhi peningkatanIR DBD per Kelurahan, yakni Angka Bebas Jentik (ABJ) dengan nilai Prevalens Rasio(PR) 1,66 (95% CI= 1,14-2,41), IR DBD sebelumnya, PR 0,60 (95% CI = 0,42-0,86)dan proporsi umur 6-17 tahun PR sebesar 1,52 (95% CI= 1,06-2,16). Untuk mencegahpeningkatan IR DBD tingkat Kelurahan maka ABJ perlu ditingkatkan minimal 90-95%dan dipertahankan bagi yang telah mencapai ≥ 95% melalui upaya pokok pengendalianvektor DBD yakni dengan melaksanakan kegiatan PSN 3 M Plus dan Gerakan 1 Rumah1 Jumantik (G1R1J), pihak Sekolah perlu dilibatkan dalam gerakan PSN ini sebabproporsi usia Sekolah SD sd SMA yang tinggi berperan dalam peningkatan IR DBD,Dinas Kesehatan beserta jajarannya perlu memberikan feed back pelaporan DBD kepadamasyarakat dan lintas sektor di tingkat Kelurahan secara rutin agar masyarakat dan aparatKelurahan senantiasa waspada terhadap potensi peningkatan kasus DBD di wilayahnya,untuk menjaga kualitas PE DBD hendaknya senantiasa mendapat pembinaan dari Dinkesdan Sudinkes.

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ABSTRACT
Beginning 2019 year the incidence of dengue was increase in almost all of regions inIndonesia. Data from 2014 to 2015 shows that DKI Jakarta always has a DHF incidencerate above the national rate. The pattern of increasing DHF IR in DKI Jakarta variesgreatly among urban villages, some urban villages have experienced very high increasein cases while other urban villages have actually declined. This study aims to determinethe factors associated with an increase in DHF Incidence Rate by urban village in theperiod January to May 2019. This research is an analytic observational type with crosssectional design. The results get a multivariate fit model containing 3 variables that affectthe increase in DHF per village, namely larvae free rate (ABJ) with a Prevalence Ratio(PR) 1.66 (95% CI = 1.14-2.41), DHF Incidence Rate previously, PR was 0.60 (95% CI= 0.42-0.86) and the proportion of ages 6-17 years of PR was 1.52 (95% CI = 1.06-2.16). To prevent an increase in DHF at the Village level, the ABJ needs to be increasedby at least 90-95% and maintained for those who have reached ≥ 95% through the mainefforts to control the DHF vector, namely by carrying out the activities of the PSN 3MPlus and Movement 1 House 1 Larva Monitor (G1R1J), parties Schools need to beinvolved in this PSN movement because a high proportion of elementary school age tosenior high school plays a role in increasing DHF Incidence Rate, the Health Office andits staff need to provide DBD reporting back to the community and cross-sectoral at theurban village level regularly so that the community and village's officials are always onthe lookout for the potential increase in dengue cases in their region, to maintain thequality of DHF Epidemiological Investigation should always receive guidance from thePublic Health Office of DKI Jakarta Provincial.