SISTEM PEMBELIAN BAHAN BAKAR PADA SPBU MENGGUNAKAN QR CODE DAN METODE HAVERSINE UNTUK MENENTUKAN LOKASI SPBU TERDEKAT
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Harahap, Alfiansyah Zuhri
Abdurrasyid, Abdurrasyid
Fitriani, Yessy
Abdurrasyid, Abdurrasyid
Fitriani, Yessy
Subject
Teknik Informatika
Datestamp
2022-09-27 06:37:40
Abstract :
Vehicle users in Indonesia have experienced a significant increase every year, resulting in a higher percentage of fuel consumption. This resulted in a long queue at each SPBU and the accumulation of buyers in one SPBU. One of the systems that have been implemented at gas stations is the self-service method. However, this method is still inefficient because buyers still have to queue at the standing console to make purchase transactions using the cash payment method. During the gas station search process, motorists still spend time looking for the nearest gas station. Therefore, a system was built that resulted in an application that could locate the nearest gas station using the haversine method, along with existing facilities at gas stations and QR codes as a result of online fuel purchase transactions which resulted in more efficient fuel purchases. In the final test the system used in this research is the black box and MAPE methods, based on the results obtained by using the black box, it is included in the appropriate category while using MAPE gets a 44% feasibility value when the user's position is in a winding alley to get to the gas station location, and 86% when the user's position is on a straight road with the location of the gas station.
Vehicle users in Indonesia have experienced a significant increase every year, resulting in a higher percentage of fuel consumption. This resulted in a long queue at each SPBU and the accumulation of buyers in one SPBU. One of the systems that have been implemented at gas stations is the self-service method. However, this method is still inefficient because buyers still have to queue at the standing console to make purchase transactions using the cash payment method. During the gas station search process, motorists still spend time looking for the nearest gas station. Therefore, a system was built that resulted in an application that could locate the nearest gas station using the haversine method, along with existing facilities at gas stations and QR codes as a result of online fuel purchase transactions which resulted in more efficient fuel purchases. In the final test the system used in this research is the black box and MAPE methods, based on the results obtained by using the black box, it is included in the appropriate category while using MAPE gets a 44% feasibility value when the user's position is in a winding alley to get to the gas station location, and 86% when the user's position is on a straight road with the location of the gas station.
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