Development clustering system IDX company with k-means algorithm and DBSCAN based on fundamental indicator and ESG.

The global pandemic covid-19 offer buying opportunity to buy business with discounted price. This phenomenon attracts new type of investor around the world. This novice investor may aware that there is indices that is followed as benchmark. This benchmark was used as guidance, however, fact shown that some of this indices constituent fails to adapt and survive during global pandemic. Research indicates that formulation on inclusion and exclusion an index may biased. This novice investor may also be aware of so called blue chips company. However, yesterday winner may become tomorrow losers. This biased classification is done by human. This experiment intentionally to counter this practice, by using cutting edge machine learning to cluster IDX company using K-Means and DBSCAN algorithm. This experiment dataset is using KOMPAS100 fundamental indicator and it's ESG attributes. Experiment result suggesting there is five cluster in terms of fundamental and ESG in KOMPAS100.

Systematic literature review: The adaptation of distance learning process during the COVID-19 pandemic using virtual educational spaces in metaverse.

Virtual education has started to grab interest since technology emerges in everything in our life. Metaverse is one of the technologies that has been conceived since the late 90s and is currently being renewed and renovated to suit current changes. Yet, many teachers and students still do not know how to utilize Metaverse to create a new atmosphere in the learning process. Therefore, this study aims to show the results of using Metaverse in the form of virtual space in the educational field and how teachers and students respond to the process. In this study, the authors would like to conduct a Systematic Literature Review (SLR) on the advantages and disadvantages of virtual educational spaces in Metaverse based on many previous studies related to this topic. Survey results conducted by previous studies show that students mostly enjoy using Metaverse as their learning method and can comprehend several lessons better when using Metaverse than traditional learning- textbook-based and face-to-face learning. Unfortunately, only several studies focus on finding preferred subjects to teach using the Metaverse and for which educational level this method suits best. In general, the authors conclude that Metaverse has excellent potential in the future to be explored profoundly in the education field due to the development of skills in the use of technology and a significant increase in student practice scores. However, the guidance of teachers and parents is still needed so that students can avoid the disadvantages.

Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model.

Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases.