The Social Security Administering Body (BPJS) is a facility established by The government in prov... more The Social Security Administering Body (BPJS) is a facility established by The government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the ...
The situation and challenges of the pandemic at the beginning of 2021 with the discovery of a vac... more The situation and challenges of the pandemic at the beginning of 2021 with the discovery of a vaccine for the Covid-19 virus, of course, it is necessary to accelerate the provision of vaccines to all human beings around the world. In Indonesia, the Government is promoting a mass vaccination program for all Indonesian citizens by accelerating vaccination in all regions of Indonesia to date. Based on the above, it is deemed necessary to conduct a sentiment analysis. Twitter social media was chosen as one of the means in this sentiment analysis. There were 1013 positive and negative comments from twitter users with the keyword "vaccine" which were obtained for processing related to the public's response to the implementation of mass vaccination in Indonesia. By using the Support Vector Machine (SVM) Algorithm and SMOTE-based Naïve Bayes, a comparison of the positive and negative comments was made. From the testing process, the accuracy results from the SVM algorithm using the SMOTE technique obtained an accuracy value = 70.51% and AUC value = 0.827, while the testing process using the Naïve Bayes algorithm with SMOTE technique obtained an accuracy value = 64.36% and AUC value = 0.423. From the above process, the use of the Support Vector Machine based on the SMOTE technique has a higher accuracy so that it can be used to provide solutions to the sentiment analysis of the Covid-19 vaccination.
The Social Security Administering Body (BPJS) is a facility established by the government in prov... more The Social Security Administering Body (BPJS) is a facility established by the government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the ...
Prediction of Employee Attendance Factors UsingC4.5 Algorithm, Random Tree, Random Forest, 2020
Research on the performance of workers based on the determination of standard working hours for a... more Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period. In disciplinary supervision, workers are expected to be able to provide the best performance in the implementation of work in accordance with predetermined working hours. The measurement of the level of discipline of admission hours for placement workers is carried out every working day, continuously and continuously. Attendance monitoring already uses online attendance by using data downloaded from the online attendance provider as the main data. In addition, data collection is done by filtering employee absentee data and supporting information on the categories that cause mismatches in meeting work schedules. Mobilization of workers according to location and working hours has been regulated in company regulations allowing the placement of workers in accordance with the residence so as not to affect the desired work results the company is still within reasonable limits and can be increased. The assessment of this study as a progression factor inhibiting the company in achieving company targets. From the results of the author's analysis of the prediction of employee delay factors using three algorithms, namely the C.45 algorithm accuracy = 79.37% and AUC value = 0.646, Random Forest Algorithm accuracy = 78.58% and AUC value = 0.807 while for the Random Tree algorithm accuracy = 76.26% and the AUC value = 0.610.
The Social Security Administering Body (BPJS) is a facility established by The government in prov... more The Social Security Administering Body (BPJS) is a facility established by The government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the ...
The situation and challenges of the pandemic at the beginning of 2021 with the discovery of a vac... more The situation and challenges of the pandemic at the beginning of 2021 with the discovery of a vaccine for the Covid-19 virus, of course, it is necessary to accelerate the provision of vaccines to all human beings around the world. In Indonesia, the Government is promoting a mass vaccination program for all Indonesian citizens by accelerating vaccination in all regions of Indonesia to date. Based on the above, it is deemed necessary to conduct a sentiment analysis. Twitter social media was chosen as one of the means in this sentiment analysis. There were 1013 positive and negative comments from twitter users with the keyword "vaccine" which were obtained for processing related to the public's response to the implementation of mass vaccination in Indonesia. By using the Support Vector Machine (SVM) Algorithm and SMOTE-based Naïve Bayes, a comparison of the positive and negative comments was made. From the testing process, the accuracy results from the SVM algorithm using the SMOTE technique obtained an accuracy value = 70.51% and AUC value = 0.827, while the testing process using the Naïve Bayes algorithm with SMOTE technique obtained an accuracy value = 64.36% and AUC value = 0.423. From the above process, the use of the Support Vector Machine based on the SMOTE technique has a higher accuracy so that it can be used to provide solutions to the sentiment analysis of the Covid-19 vaccination.
The Social Security Administering Body (BPJS) is a facility established by the government in prov... more The Social Security Administering Body (BPJS) is a facility established by the government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the ...
Prediction of Employee Attendance Factors UsingC4.5 Algorithm, Random Tree, Random Forest, 2020
Research on the performance of workers based on the determination of standard working hours for a... more Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period. In disciplinary supervision, workers are expected to be able to provide the best performance in the implementation of work in accordance with predetermined working hours. The measurement of the level of discipline of admission hours for placement workers is carried out every working day, continuously and continuously. Attendance monitoring already uses online attendance by using data downloaded from the online attendance provider as the main data. In addition, data collection is done by filtering employee absentee data and supporting information on the categories that cause mismatches in meeting work schedules. Mobilization of workers according to location and working hours has been regulated in company regulations allowing the placement of workers in accordance with the residence so as not to affect the desired work results the company is still within reasonable limits and can be increased. The assessment of this study as a progression factor inhibiting the company in achieving company targets. From the results of the author's analysis of the prediction of employee delay factors using three algorithms, namely the C.45 algorithm accuracy = 79.37% and AUC value = 0.646, Random Forest Algorithm accuracy = 78.58% and AUC value = 0.807 while for the Random Tree algorithm accuracy = 76.26% and the AUC value = 0.610.
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Papers by Riza Fahlapi