Choronic energy malnutrition is health problems in women reproductiveage. The purpose of this study was assessed association betweennutrition knowledge, energy and protein intake with chronic energymalnutrition. Design study was observational study with cross sectionaldesign. The Sample were taken by exshautive sampling with collected152 praconseption women. Study was conducted in Boalemo regency.Data analysis using univariate and bivariate analysis which was chisquare test. The result showed that there were only 2,6% in age lessthan 20 years, most of educational level les than nine years 66,4%,92,8% had occupation as house wife, 28,8 % choronic energymalnutrition, 52,6% low nutrition knowledge, 55,9% low energy intakeand 54,6% low protein intake. Bivariate analysis showed women whohad CEM with low nutrition knowledge 51,3% higher than high level ofnutrition knowledge 2,7%, low penergy intake 37,6% higher thanadequate energy intake 16,4%, low protein intake 36,1% higher thanadequate protein intake 18,8%. Chi square test showed there wereassociation between nutrition knowledge (p = 0,000), energy intake (p =0,007) and protein intake (p = 0,029) with chronic energy malnutrition inpraconseption women. It was concluded tha low nutrition knowledge,low energy and protein intake had association with chronic energymalnutrion.

One method of reducing the spread of dengue hemorrhagic fever (DHF) is to provide a map of DHF-prone locations based on spatial analysis. The major way to prevent the spread of DHF is to manage and control its vector by focussing on specific regions of localisation and removing appropriate breeding circumstances. Spatial analysis can detect DHF clusters that are larger than expected based on the underlying data. This research aimed to identify and map DHF vulnerability zones based on many parameters within the scope of the analytical hierarchy and geographical information systems (GIS). We found that the consistency ratio of 0.079 for analytic hierarchy process (AHP) factor weights was judged to be satisfactory. The population density, distance to the road, and distance to health facilities were shown to be the most relevant factors in determining DHF vulnerability. Gorontalo Regency is dominated by low vulnerability classes with an area of 139,493.5 ha or 65.08% of the total area. The GIS-AHP process could be used to assess transmissible DHF vulnerability zonation, which would aid in improving surveillance strategies for DHF and other vector-borne diseases in order to encourage prevention and control actions.

Penelitian ini bertujuan untuk mengetahui beberapa faktor yang berhubungan dengan kejadian bayi Bayi Berat Badan Lahir Rendah (BBLR) di Wilayah Kerja Puskesmas Limboto Kabupaten Gorontalo. Metode yang digunakan adalah  Observasional Analitik dengan pendekatan cross sectional study. Populasi adalah seluruh ibu yang melahirkan berjumlah 853 responden, dengan Sampel yaitu sebanyak 202 responden. Teknik pengambilan sampel menggunakan tekhnik Purposive Sampling. Analisis data menggunakan uji Chi Square. Hasil penelitian menunjukkan proporsi bayi Berat Badan Lahir Rendah (BBLR) 34 responden (16,8%) dan bayi Berat Badan Lahir Normal (BBLN) 168 responden (83,2%). Hasil bivariat didapatkan bahwa ada hubungan pengetahuan (p-value 0,044), pendapatan keluarga (p-value 0,029) dengan kejadian bayi Berat Badan Lahir Rendah (BBLR). Sedangkan, jumlah paritas (p value 0,523),  jarak kehamilan (p-value 0,659), dan Kekurangan Energi Kronik (KEK) (p-value 0,637) tidak memiliki hubungan yang bermakna secara statisti dengan kejadian bayi Berat Badan Lahir Rendah (BBLR).    This study aims to determine several factors associated with the incidence of low birth weight babies (LBW) in the Limboto Health Center, Gorontalo District. The method used is analytic observational with a cross sectional study approach. The population was all mothers who gave birth totaling 853 respondents, with a sample of 202 respondents. The sampling technique used purposive sampling technique. The results showed that the proportion of Low Birth Weight (LBW) babies was 34 respondents (16.8%) and Normal Birth Weight (BBLN) babies were 168 respondents (83.2%). The bivariate results showed that there was a relationship between knowledge (p value 0.044), family income (p value 0.029) with the incidence of low birth weight babies (LBW). Meanwhile, the parity (p value 0.523), pregnancy distance (p-value 0.659), and Chronic Energy Deficiency (P-value 0.637) did not have a statistically significant relationship with the incidence of Low Birth Weight (LBW).

Under certain climatic conditions, Aedes aegypti and Aedes albopictus mosquitoes can survive and reproduce optimally so that climate change can significantly change the pattern of disease distribution. This study aimed to model the level of Dengue Haemorrhagic Fever (DHF) hazard in Gorontalo Regency by integrating the Analytical Hierarchy Process (AHP), Geographic Information System (GIS) with climatological and topographic factors. The factors that most influence the level of hazard of DHF are annual rainfall, altitude, and humidity. The results obtained show that Gorontalo Regency is dominated by the hazard level class of 94852.31 ha or 44.25% and the moderate class area of 82553.37 ha or 38.5% of the total area of Gorontalo Regency. These results prove that Gorontalo Regency is very at risk of DHF disease. If this is not handled by the government properly, the moderate class will potentially rise to the high class. The prediction model for the DHF hazard level in this study can be made according to local conditions in the research area which have limited data. Changes in climate variables and periodicity that affect the incidence of dengue can be flexibly adapted to this model. The findings from this study provide valuable insights that have the potential to improve mitigation in public health-related interventions.