Sepuluh Nopember Institute of Technology

About: Sepuluh Nopember Institute of Technology is a education organization based out in Surabaya, Indonesia. It is known for research contribution in the topics: Computer science & Population. The organization has 8912 authors who have published 9763 publications receiving 38212 citations. The organization is also known as: Institut Teknologi Sepuluh Nopember.

Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020

Abstract: The world is under pressure from the novel COVID-19 pandemic. Indonesia is the fourth most populous country in the world and predicted to be affected significantly over a longer time period. Our paper aims to provide detailed reporting and analyses of the present rapid responses to COVID-19, between January and March 2020, in Indonesia. We particularly highlight responses taken by the governments, non-government organisations and the community. We outline gaps and limitations in the responses, based on our rapid analysis of media contents, from government speeches and reports, social and mass media platforms. We present five recommendations toward more rapid, effective, and comprehensive responses.

Study of increasing lipid production from fresh water microalgae Chlorella vulgaris

Abstract: Study of increasing lipid production from fresh water microalgae Chlorella vulgaris was conducted by investigating several important factors such as the effect of CO 2 concentration, nitrogen depletion and harvesting time as well as the method of extraction. The drying temperature during lipid extraction from algal biomass was found to affect not only the lipid composition but also lipid content. Drying at very low temperature under vacuum gave the best result but drying at 60 °C still retained the composition of lipid while total lipid content decreased only slightly. Drying at higher temperature decreased the content of triacylglyceride (TG). As long as enough pulverization was applied to dried algal sample, ultrasonication gave no effect whether on lipid content or on extraction time. In addition to the increase of total lipid content in microalgal cells as a result of cultivating in nitrogen depletion media, it was found that changing from normal nutrient to nitrogen depletion media will gradually change the lipid composition from free fatty acid-rich lipid to lipid mostly contained TG. Since higher lipid content was obtained when the growth was very slow due to nitrogen starvation, compromising between lipid content and harvesting time should be taken in order to obtain higher values of both the lipid content and lipid productivity. As the growth was much enhanced by increasing CO 2 concentration, CO 2 concentration played an important role in the increase of lipid productivity. At low until moderate CO 2 concentration, the highest lipid productivity could be obtained during N depletion which could surpassed the productivity during normal nutrition. At high-CO 2 concentration, harvesting at the end of linear phase during normal nutrition gave the highest lipid productivity. However, by reducing the incubation time of N depletion, higher lipid content as well as higher lipid productivity may still be achieved under this condition.

House of risk: a model for proactive supply chain risk management

Abstract: Purpose - Increasingly, companies need to be vigilant with the risks that can harm the short-tetm operations as well as the long-term sustainability of their supply chain (SC). The pw-pose of this paper is to provide a fmmework to proactively manage SC risks. The framework will enable the company to select a set of risk agents to be treated and then to prioritize the proactive actions, in order to reduce the aggregate impacts of the risk events induced by those risk agents. Design/methodology/approach - A framework called house of risk (HOR) is developed, which combines the basic ideas of two well-known tools: the house of quality of the quality function deployment and the failure mocle and effect analysis. The fTamework consists of two deployment stages. HORl is used to rank each risk agent based on their aggregate risk potentials. HOR2 is intended to prioritize the proactive actions thai the company should pursue to maximize the cost-effectiveness of the effort in dealing with the selected risk agents in HORL For illustrntive purposes, a case study i presented. Findings - The paper shows that the innovative model presented here is simple but useful to use. Research limitations/implications - ln the proposed fTamework, the correlations between risk events are ignored, something that fuhtre studies should consider including. Practical implications - The framework is intended to be useful in practice. For the calculation processes, a simple spreadsheet application would be sufficient. However, most of the entries needed in the model are based on subjective judgment and hence cross-functional involvement is needed. Originality/value - The paper adds to the SC management literature, a novel practical approach of managing SC risks, in particular to select a set of proactive actions deen1ed cost-effective.