The coronavirus spreads quickly through human-to-human transmission via close contact and respiratory droplets such as coughing or sneezing. Various studies have been carried out to deal with Covid-19. However, the cure for this virus has not been found until now. Based on data from the covid19.go.id page retrieved on January 1st, 2021, which was updated by the Ministry of Health, the overall number of confirmed cases was 1,078,314 active cases reaching 175,095 or 16.2% of confirmed cases, recovered 873,221 or 81.0% of confirmed cases, and death 29,998 or 2.8% of the confirmed cases. This study compares the two algorithms of data groups to analyze clustering patterns to determine the best data processing method. The data in this study sourced from the Ministry of Health, contained 4 attributes, including confirmed cases, treatment, recovery, and death cases. In this study, only 2 attributes were used: the confirmed and death cases. From the data analysis and processing results through a comparison between the K-Means method and the K-Medoids for clustering the spread of the coronavirus in Indonesia, a conclusion is derived. With the Davies Boulden index value from K2 to K9 values, it turns out that the K-Means method gets the smallest value at the K-5 of 0.064, while K-Medoids at the k-2 value of 0.411. Thus, from the two methods used, it can be concluded that the best method for clustering the spread of the coronavirus outbreaks in Indonesia is the K-Means method.
Coal is a fossil energy source that is still dominant in the generation of world electricity. The use of this energy source causes environmental damages and pollutions. Coal mining causes irreparable damage to land, water, and natural resources around the mine. Exhaust gas emissions from energy generation with coal fuel contribute 44% of total global emissions. Alternative energy sources that can be renewable, sustainable, and environmentally friendly (green) need to be developed to reduce and stop environmental pollution. This research was conducted to explore alternative energy sources that are green, namely the source of electrical energy from living plants. Research on the generation of electrical energy from living plants has been widely carried out and gives satisfying results. In this study, the living plants studied were urban tropical forest plants so that the electricity generated could be used for lighting or sources of charging batteries for electronic devices or electric vehicles. The generation of electrical energy is carried out on each tree by using different electrodes combinations that work according to the principle of the Voltaic cell. The results showed that the combination of the gold-zinc electrode (Au-Zn) produced the highest voltage of 750mV in the sengon tree. The electric voltage generated in each tree species varies according to the combination of the electrodes used and the distance between the two electrodes. Experiments carried out on seven tree species and three combinations of electrodes produced an average electric voltage of 325.6mV. This voltage can be used to charge a 5V battery by connecting 20 cells serially.
In post-pandemic recovery efforts, uncertainty arose due to the unresolved conflict between the Russia-Ukraine war. This conflict impacts world security stability and affects the economic, energy, and food sectors. This conflict also impacts humanity by causing death to civilians and military personnel, including children in Ukraine. The clustering analysis results of the impact of the Russian-Ukrainian war show losses and losses in personnel and war equipment, with three cluster optimization methods used through k-means. Of the two methods that can be recommended, namely elbow and Silhouette, both produce K=3. The profiling results show that losses or losses in Ukrainian personnel and war equipment are categorized into three clusters, with cluster one being the lowest category, cluster two being the very high category, and cluster three being the moderate category. This research is helpful for state agencies, international organizations (NGOs), and other stakeholders.
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