PREDIKSI KELAYAKAN GERBONG TERBUKA DI UPT BALAI YASA LAHAT DENGAN ALGORITMA NAÃVE BAYES
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
NOVRIANI, AISYAH
Abdurrasyid, Abdurrasyid
Fitriani, Yessy
Abdurrasyid, Abdurrasyid
Fitriani, Yessy
Subject
Teknik Informatika
Datestamp
2023-05-31 03:34:11
Abstract :
The checking and maintenance process at UPT Balai Yasa Lahat is an annual maintenance unit for train cars for 2, 4 and 6 years. This checking process goes through an assessment in accordance with standard criteria from the ministry of transportation and also the place of origin of the train carriages. In the process of checking the open carriages of the UPT Balai Yasa Lahat train to determine the eligibility of the open carriages of the trains, it is still manual in collecting files, the calculations are manual which is at risk of errors in processing the eligibility of the train carriages, and also the employees who are assigned directly to carry out the maintenance checking process are few and time consuming the delay is short. This study aims to assist the UPT Balai Yasa Lahat open carriage team in implementing data mining in processing open carriage feasibility data. This study produces an accuracy rate of 100%. In this research, it can be seen that the Naïve Bayes algorithm can be used to predict the feasibility of railroad open carriages, so that it can prevent worker negligence, reduce unexpected cost efficiency and accidents when in the future cross area.
The checking and maintenance process at UPT Balai Yasa Lahat is an annual maintenance unit for train cars for 2, 4 and 6 years. This checking process goes through an assessment in accordance with standard criteria from the ministry of transportation and also the place of origin of the train carriages. In the process of checking the open carriages of the UPT Balai Yasa Lahat train to determine the eligibility of the open carriages of the trains, it is still manual in collecting files, the calculations are manual which is at risk of errors in processing the eligibility of the train carriages, and also the employees who are assigned directly to carry out the maintenance checking process are few and time consuming the delay is short. This study aims to assist the UPT Balai Yasa Lahat open carriage team in implementing data mining in processing open carriage feasibility data. This study produces an accuracy rate of 100%. In this research, it can be seen that the Naïve Bayes algorithm can be used to predict the feasibility of railroad open carriages, so that it can prevent worker negligence, reduce unexpected cost efficiency and accidents when in the future cross area.
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