The existence of the Kereta Rel Listrik Commuter Line as the backbone of transportation in the Jakarta - Bogor - Depok - Tangerang - Bekasi - Banten area has a very important role for commuter mobility around Daerah Khusus Ibukota Jakarta. With an average number of 1.1 million passengers per day, Kereta Rel Listrik is one of the factors supporting Indonesia's economy and growth in various sectors. On the other hand, the Covid-19 pandemic that hit the world caused restrictions on human movement which resulted in a decline in all economic sectors. The purpose of this research is to obtain optimal train schedule recommendations for the operation of the Kereta Rel Listrik Commuter Line in the Rangkasbitung - Tanah Abang service to carry passengers optimally while adhering to the physical distancing protocol set by the Minister of Transportation to prevent the wider spread of Covid-19. With such a large amount of data that must be processed, Exploratory Data Analysis is one of the choices we take to process the above data to get satisfactory results.
In this research, an analysis of Wi-Fi products was carried out using Risk Framework, Information Technology (IT) Domain Risk Response, and decision tree method to determine decision making at the Telecommunication companies which occurs from January to September 2021. The Wi-Fi installation process was carried out to assess how far Telecommunication company had responded to problems related to IT risks. This analysis is carried out to help the Telecommunication company create a framework to respond to IT risks that have occurred, such as human risk errors, system disturbances, interference fromoutside parties, inventory control, as well as responding to problems related to IT risks such as problems related to possible risks to the system used. The goal is to provide recommendations to the company in accordance with the IT Risk Framework. Thedata sources are derived from a direct interview with the manager of the Telecommunication company and customer service data. The analysis refers to the process of installing Wi-Fi for the customers. Customer service data is analyzed using the Decision Tree in Weka. The results of the analysis are expected to support the Telecommunication company to be better inresponding and reacting to IT risk and incidents that have occurred, those that may occur at telecommunication installation.
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