The arrival of the Covid 19 Virus in Indonesia, which is recognized as a national disaster by the government, destroys the economic sector from micro to macro. On the bottom line, small entrepreneurs such as paggadde-gadde were significantly affected among other types of businesses. This study seeks to reveal the culture in the life of a paggadde-gadde in Makassar in an effort to maintain his small business, before and during the pandemic occurs in 2020. The research method used is ethnography, by taking twelve steps of step-by-step research formulated by Spradley (1979). Ethnographic records and analysis results from this study reveal the strategy taken before the pandemic is to provide customers with ease of transactions with loan goods when the customer, who is a neighbor of paggadde-gadde himself, is in financial trouble. However, during a pandemic, another strategy is carried out by not providing loans for a while so that the current asset turnover ratio remains stable. This research can then be used as a reference for other paggadde-gadde in Makassar in particular, and similar home entrepreneurs in general. The results of the research can also be used as a reference for city governments in formulating policies related to regulations involving small businesses such as paggade-gadde businesses.

COVID-19 caused by SARS-CoV-2 is being global pandemic which the number of positive confirmed cases and deaths increase massively and rapidly. Big data is a technology can be used for analysing the trend pattern of coronavirus and prevent the spreading of it. Few countries already use big data as a strategy in managing the ongoing of COVID-19 pandemic. This research uses descriptive analytical research to describe the findings of previous research information with a simplified approach. The aim of this research is knowing how big data used for managing the outbreak of COVID-19 by detecting cases, predicting cases and tracking contact through the use of various data characteristics in some countries around the world. Several countries that have used big data to help manage COVID-19 pandemic are Taiwan, China, Korea, Australia. Taiwan uses credit card and geographic route for tracking the routes of tourists, China uses Baidu Maps Traffic Flow as local maps for knowing distribution of aircraft passenger who have potential high risk to get infected by COVID-19, Korea uses insurance data from Korean National Health Insurance Service for knowing the community with hypertension history who have protentional high risk to get infected by COVID-19 and Australia uses application COVIDSafe for handling the spreading by detecting ambient contact. The ongoing of COVID-19 pandemic in the world has caused the big data technology to be considered to be applied in a country so it hopes can reduce the negative impacts caused in several fields.

E-waste is a waste of electronic devices where its number of generation continues to increase in the world. However, improper processing of e-waste in developing countries, such as Indonesia, especially from computing devices, can lead to adverse human health effects and environmental pollution. Therefore, the aims of this study are to determine the generation, composition, material flow, and management of e-waste of computer devices produced by 19 stores in a computer service center of Makassar City. Analysis of this study is based on Indonesian Government Regulation No. 101 of 2014 on the Management of Hazardous and Toxic Waste. The results of this study showed that the generation of e-waste from a computer service centre was 4.340 kg/store/day with 60.34% of plastic, 23.88% of metal, 7.81% of metal and plastic, 4.18% of metal and rubber, 3.62% of glass and 0.17% of rubber. Material flows of e-waste generation in the computer service centre are divided into sold to e-waste collectors, kept in stores, brought back by customers, and disposed of, with 38.69%, 30.75%, 26.55%, and 4.01%, respectively. Moreover, specific e-waste management needs to be done by segregating the e-waste from other types of waste by arranging waste transport time and providing a special disposal site.