RANCANG BANGUN MOBILE APP PENCARIAN RUTE BERBASIS ACO (ANT COLONY OPTIMIZATION) PADA AUTONOMOUS VEHICLE DI KAMPUS UNSRI INDRALAYA

SHAKTI, MOEHAMMAD SOELTHAN BIMO and Sari, Desi Windi and Sari, Melia (2024) RANCANG BANGUN MOBILE APP PENCARIAN RUTE BERBASIS ACO (ANT COLONY OPTIMIZATION) PADA AUTONOMOUS VEHICLE DI KAMPUS UNSRI INDRALAYA. Undergraduate thesis, Sriwijaya University.

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Abstract

Pesatnya perkembangan teknologi menghadirkan segudang inovasi yang dalam semua aspek untuk membantu manusia beraktivitas, salah satunya ialah bidang transportasi. Kendaraan otonom merupakan salah satu perkembangan teknologi transportasi terkini yang terus berkembang. Autonomous Vehicle ini merupakan kendaraan tanpa pengemudi yang dapat melakukan perjalanan ke tujuan yang ditentukan tanpa memerlukan adanya keterlibatan manusia. Adanya beberapa aspek penting dalam penelitian ini ialah navigasi dan perencanaan rute yang efisien. Penelitian ini bertujuan untuk merancang dan membangun aplikasi mobile untuk perencanaan rute terdekat menggunakan algoritma ant colony optimization. Aplikasi dibuat dengan menggunakan software visual studio code sebagai code editor, dan menggunakan sistem model pengembangan waterfall. Implementasi algoritma aco dilakukan sebagai algoritma dasar pencarian rute pada aplikasi. Penggunaan google maps API untuk menyediakan data-data yang diperlukan oleh algoritma aco, firebase juga digunakan sebagai fungsi autentikasi, seperti sign up dan sign in dan juga menyimpan data trip history pengguna. Berdasarkan hasil pengujian, aplikasi mobile berhasil dibangun dengan fitur-fitur yang dirancang dapat melakukan fungsinya dengan baik, salah satunya ialah aplikasi berhasil melakukan pencarian jalur terdekat menggunakan algoritma ant colony optimization. ------------------------------------------------------------ The rapid development of technology has presented a multitude of innovations in all aspects to help humans carry out their activities, one of which is the field of transportation. Autonomous vehicles are one of the latest developments in transportation technology that continues to develop. This Autonomous Vehicle is a vehicle without a driver that can travel to a specified destination without requiring human involvement. There are several important aspects in this research, namely efficient navigation and route planning. This research aims to design and build a mobile application for planning the closest route using the ant colony optimization algorithm. The application was created using Visual Studio Code software as a code editor, and using the waterfall development model system. The implementation of the aco algorithm is carried out as a basic route search algorithm in the application. Using the Google Maps API to provide the data required by the ACO algorithm, Firebase is also used as an authentication function, such as signing up and signing in and also storing user trip history data. Based on the test results, the mobile application was successfully built with features designed to perform its function well, one of which is that the application successfully searched for the closest path using the ant colony optimization algorithm.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	aplikasi mobile, pencarian jalur, algoritma aco
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Moehammad Soelthan Bimo Shakti
Date Deposited:	25 Nov 2024 07:09
Last Modified:	25 Nov 2024 07:09
URI:	http://repository.unsri.ac.id/id/eprint/159776

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