Simulasi-Optimasi Sistem Transportasi Penentuan Kebutuhan Truk Tangki Pada Proses Distribusi BBM: Studi Kasus TBBM Plumpang

Liperda, Rahmad Inca; Hardianti, Ismara Khubby; Widyah, Intan Nur; Rahmadini, Ayunda; Fadjri, Nia Azi; Agustin, Rifqi Rahmadanti

doi:10.24853/jisi.9.2.92-102

Cited by 1 publication

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“…According to him, data mining itself can be used for grouping in analyzing income from various types of subsidized fuel income classifications that can be accepted by comparing new data obtained from refueling queues in Pertamina's area or commonly known as gas stations. [10] also from the origin of new data (data from the results of a refueling survey) and also classifies it in the form of subsidized fuel oil income classification [11].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Support Vector Machine and Perceptron In The Classification of Subsidized Fuel Receipts

Samudra¹,

Rosnelly²,

Situmorang³

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Currently, fuel oil is one of the important factors for the community and even a country on this earth to utilize this natural gas fuel for daily use as the main use and also by increasing the community's need for fuel oil. But there are several factors that cause this fuel problem, there is a factor of time and usage time, which is certain that one day it will expire and its capacity in a country, even if the country runs out of fuel, will make requests to other countries and also obstacles to supplying this fuel oil to the public. which is the main fuel from the Pertamina government agency which has begun to limit purchases for this fuel oil to certain circles by marking the types of subsidies or not subsidies that must be controlled by the government in limiting purchases for the public. In dealing with solving problems from the perspective of ownership or even utilization, there are limits to owning fuel, and not everyone has to have a lot or even too much. In solving the problem of dividing fuel revenue, which is good for filling revenue, it can be solved by using machine learning, namely data mining itself can help in completing subsidized fuel receipts without being excessive for the community so that they can be controlled and managed for their purchases. In building a fuel oil reception design, it can be grouped into a classification model that uses SVM and perceptron which uses the activation function of the sigmoid to get the final result of accuracy where getting the average value of 5-fold, 10-fold, 20-fold is accuracy. is 90.0%, the F1 value is 85.6%, the precision value is 87.6%, and the recall value is 90.0%.

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Section: Introductionmentioning

confidence: 99%