As of January 2021, with 2,066,175 deaths, 95,612,831 confirmed cases have been reported globally. Indonesia’s COVID-19 Task Force report shows that there are currently 27,203 deaths, with reported cases exceeding 951,651, among the highest in Asia. The President of the Republic of Indonesia created a national team to speed up the production of vaccines for COVID-19. It stipulates that the government will arrange the provision, delivery, and vaccination of COVID-19 vaccines. The vaccination scheme would then become the pros and cons of Indonesian society. This research assesses the opinion of the Indonesian people through a social network analysis of the COVID-19 vaccine in January 2021. We used sentiment analysis using Naïve Bayes Algorithm by crawling Twitter data with ‘Vaccine COVID-19’ as keywords. We perform the data crawling process manually using the access token received from the Twitter API using the Rapid miner tools to extract the requested information and data. Data crawling continued with the Drone Emprit Academic Streaming Public Twitter Tool because of limited manual crawling resulting in more than 6000 tweets related to selected keywords on January 15-22, 2021. The result of sentiment measurement with over 3.4 thousand negative tweets (56%), over 2.4 thousand positive tweets (39%), and the remaining 301 tweets (1%) was neutral during the period of the week.

The total production of Indonesian palm oil (CPO) in 2018 reached 43.9 million tons, with a land area of 12.3 million hectares.However, every month there are still many companies that have problems in predicting palm oil production. Problems in predicting thisproduction can be solved by calculation methods in the field of artificial neural networks, namely the Extreme Learning Machine (ELM)method. This method can solve linear and non-linear data problems and provide better average computation compared to other methods inpredicting oil palm production. The data used is palm oil production data at PT Indo Palm Oil Labuhan Batu with a total of 297 in the period2017-2018. While the parameters used are planting age, land area, number of trees, and yields. The results of the best-hidden neuron testare 13 with 2 technical data features and the training data pattern is pattern 1. The average MAPE value is 20.1% with the fastestcomputing time is the use of the number of hidden neurons 2. So based on the test results, the method ELM has a predictive model withquite good performance because the MAPE value is in the range of 20% -50%.

The relationship between employee performance and job satisfaction lies in the achievement of a goal. The existence of organizational support signifies the implementation of leadership has run according to the needs of the organization. Job satisfaction has adirect influence on the dependent variable Organization Citizenship Behavior. This makes the Organization Citizenship Behavior a new concept in performance systems because high employee performance creates a high quality of work. The purpose of this study was to determine the direct and indirect relationship between leadership and Organization Citizenship Behavior on employee performance through job satisfaction variables. The path analysis technique is used to testthe relationship between variables with the help of SPSS software. The primary data in this study were the results of the questionnaire related to the variables studied as many as 113 respondents from employees of PT. FIF Rantauprapat. The test results show leadershiphas no significant direct relationship to employee performance, whereas Organization Citizenship Behavior has a significant direct relationship to job satisfaction through employee performance variables because it has a p-value (0,000) smaller than the sig level (0,1)and has t-value (5,714) is greater than t-hit (1,96).