In this study, a low-cost Ultraviolet disinfection system is proposed to be used inside ambulances for minimizing the cross-infection of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) during patient transfer. The disinfection system consists of a tower unit that contains the Ultraviolet type C (UVC) light fixture and a control box where the power unit is placed. The UVC tower unit is portable, lightweight, and can be easily placed anywhere inside an ambulance. Two ultraviolet (UV) lamps used in the tower part have 254 nm wavelength with a total power of 180 Watt. The disinfection system can provide a dose of 16.9mj/cm 2 within 1.06 seconds and 26.83 seconds if the distance of the targeted surface inside the ambulance from UV sources are 0.3 meters and 1.5 meters respectively. We have chosen various distances from UV source to targeted surface inside an ambulance and calculated the required corresponding times to reach the required dose to inactivate all viral concentrations. The designed disinfection system not only reduces the spread of SARS-CoV-2 by the semi-autonomous way inside ambulances but also requires the least labor efforts which are crucial in the current Covid-19 pandemic.

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The Covid-19 pandemic has hit the whole world, including Indonesia. This has an impact on various activities, one of which is the learning process, so the process must be done virtually. Therefore, learning alternatives are needed so that students feel interested in learning using the Connected Mathematics Project (CMP) model. This study aims to describe the learning interest of students using LKPD with the CMP model during the Covid-19 pandemic. This research is a descriptive qualitative research. The subjects of this study were students of junior high school class VIII  as many as 22 students who were randomly selected in one school. The instrument used in this study was  a learning interest questionnaire  which was distributed via distributed google form which contained 19 questions as a reference to determine student’s learning interest using the LKPD with the CMP model. The data analysis technique used is qualitative analysis. The results of the study showed that there was a positive impact on students' learning interest, seen from the average percentage of the indicator was 80.09% with a good category. Then for each indicator there are two indicators with very good categories, and four indicators with good criteria. Based on the results of this study, it can be concluded that students have a good interest in learning using LKPD with the CMP model.