# Determination of freight rates based on package dimension and distance of delivery using fuzzy logic system in angkotin application

Faizal Johan Atletiko, Nur Aini Rakhmawati, Hartantya A. Ts*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

## Abstract

Angkot.in is a website for goods delivery service by “angkot”. “Angkot” is abbreviation from Angkutan Kota. Angkutan Kota (City Transport) is a mode of transportation with a predetermined route set by the government. The price of goods delivery is influenced by a number of factors. This research aims to solve this problem using fuzzy logic system, using it will be built an automated system to calculate the transportation price needed to be paid by the customer. The rate is determined by taking into consideration the dimension of the goods and the number of angkot used. This is done because fuzzy logic system can solve problems related to calculation system that is not detailed about changes in the input. The method used in this fuzzy logic system is Tsukamoto's. This system weights on the factors that influence the rate to calculate the accurate number. With the existence of this rate calculation system, it is hoped that the rate determined will be accurate and could maintain the rate in the normal range of angkot usage, which is economical. Tsukamoto method is one example of a method in a fuzzy logic system. In Fuzzy Design, The Rules are made to map out the conditions obtained from the user. Creating accurate rules is vital because it will affect the result. Knowledge base as an important fact source to create rules will determine the total rate need to be paid by the user. Before creating rules, first the variables that influence need to be determined. From the result of the tests on the features that supports the rate calculation system, was obtained a conclusion that almost all features created are already running as intended and support the performance of this system. The Rate calculation system built by implementing fuzzy logic system using initial location and destination as inputs to obtain distance value and goods size input (length, width, height) and weight to obtain dimension.

Original language English 527-534 8 Procedia Computer Science 161 https://doi.org/10.1016/j.procs.2019.11.152 Published - 2019 5th Information Systems International Conference, ISICO 2019 - Surabaya, IndonesiaDuration: 23 Jul 2019 → 24 Jul 2019

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