The Surabaya Port Health Office (PHO) Class I is tasked with the disease prevention by detection, response and protection at entrance gates for the sea- and airports and over the state cross-border posts regarding Public Health Emergency of International Concern situation of COVID-19. This analysis aims to assess activities of early warning alert and response system to COVID-19 at Juanda International Airport on January 2020 and provides recommendations to enhance the system in the future. The method used includes interviewing four informants, studying of documents and directing field-observation by following regular activities of PHO representatives, who supervise, inspect General Declarations, distribute, and collect the Health Alert Card (HAC) and monitor body temperature of travelers. The analysis uses a system approach (input, process, output) and a 4M model with modification by adding time, technology and information variables. Activities in the early warning alert and response system of COVID-19 are in accordance with the Preparedness Guidelines by the Indonesian Ministry of Health. The outputs of reported activities have been classified as appropriate. The HAC form is lacking as a source of COVID-19 surveillance with regards to address information, which often being misinterpreted by travelers. It is necessary to add additional questions regarding the destination address of travelers in Indonesia, and to educate on how to fill in a HAC correctly through a completed example form; communication and direction from Surabaya PHO Class I operatives are also necessary so that the effectiveness of HAC can be maximized.

The concept of metric dimension of graph could be applied in many graphs, one of them is subdivision graph. A subdivision graph of graph G denoted as S(G) is a graph resulting from graph G by replacing an edge uv with a new vertex w and adding two new edges uw and wv. In this paper, the subdivision graph is called k − subdivision denoted by Sk (G), if the number of edges replaced from graph G is k for 1 ≤ k ≤ |E(G)|, where |E(G)| is the size of graph G. The purpose of this research is to find the metric dimension of subdivision graphs Sk (G), specifically for some special graphs, those are path graph (Pn ), cycle graph (Cn ), complete graph (Kn ), star graph (Sn ), ladder graph (Ln ), book graph (Bn ), wheel graph (Wn ) and fan graph (Fn ).

Type 2 diabetes mellitus (T2DM) leads to complications of other diseases. The modifiable risk factors for T2DM are overweight, physical activity, hypertension, unhealthy diet, and smoking. This study aimed to analyze determinants of T2DM incidence in passive smokers among various factors. This study was conducted at Hospital X in Surabaya City, East Java Province, Indonesia, from September 2019 to April 2020. The variables were univariate, bivariate, and multivariate. Case samples were T2DM patients and passive smokers, while control samples were non-T2DM patients and passive smokers, with 52 respondents per group, of 104 total respondents. Variables statistically significant related to the incidence of T2DM in passive smokers were age >45 years, level of education (not attaining primary school), lack of physical activity, and hypertension. While, the variables having no relation were sex, occupation, sedentary lifestyles, income, and genetics. The multivariate analysis showed that age was a major factor contributing to the incidence of T2DM in passive smokers at Hospital X Surabaya. In brief, age is the most dominant risk factor for the incidence of T2DM in passive smokers.