Cenderawan, Albert (2022) Pengembangan aplikasi "vehicle help" sebagai layanan konsultasi pemilik kendaraan menggunakan haversine formula dan algoritma dijkstra. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
The national transportation system plays a very important role in supporting national development. Part of the transportation system that also contributes to improving the economy in a region is land transportation. Every land transportation has engines and spare parts in it so that it requires maintenance (services) so that it is not easily damaged or breaks down when operating in an emergency. The problem found is that motorists still use conventional methods to find information on the location of gas filling stations and service workshops, so that the information obtained is often inaccurate and up-to-date. Therefore, it is necessary to design a "Vehicle Help" application to make it easier for motorists to search for information on the location of the nearest gas station and service shop. This study implements the Haversine Formula and Dijkstra's algorithm in recommending the location of the nearest gas station and service station. Data collection techniques through observation and literature study. The results of the study show that the mobile-based "Vehicle Help" application that was built can provide easy and complete information on gas filling stations and vehicle service shops through digital mapping and available recommendation features. In addition, the results of the Haversine Formula test and Dijkstra's algorithm in recommending gas stations and service shops get an accuracy of 90% from 10 trials. /
Sistem transportasi nasional memegang peran yang sangat penting dalam mendukung pembangunan nasional. Bagian dari sistem transportasi yang turut memberikan kontribusi dalam meningkatkan perekonomian di suatu wilayah adalah transportasi darat. Setiap transportasi darat memiliki mesin dan spare part di dalamnya sehingga memerlukan perawatan (services) agar tidak cepat rusak ataupun mogok ketika beroperasi ketika dalam kondisi darurat. Permasalahan yang ditemukan yaitu pengendara masih menfaatkan cara konvesional dalam mencari informasi lokasi tempat pengisian bensin dan bengkel service sehingga seringkali informasi yang didapatkan kurang tepat dan up-to-date. Oleh sebab itu maka perlu dirancang sebuah aplikasi “Vehicle Help” agar memudahkan pengendara melakukan pencarian informasi lokasi tempat pengisian bensin dan bengkel service terdekat. Penelitian ini mengimplementasikan Haversine Formula dan algoritme Dijkstra dalam merekomendasi lokasi tempat pengisian bensin dan bengkel service terdekat. Teknik pengumpulan data melalui observasi dan studi literatur. Hasil penelitian menunjukkan bahwa aplikasi “Vehicle Help” berbasis mobile yang dibangun dapat memberikan informasi tempat pengisian bensin dan bengkel service kendaraan secara mudah dan lengkap melalui pemetaan digital dan fitur rekomendasi yang tersedia. Selain itu, hasil pengujian Haversine Formula dan algoritme Dijkstra dalam merekomendasikan SPBU dan bengkel service mendapatkan akurasi sebesar 90% dari 10 kali percobaan.
Item Type: | Thesis (Bachelor) |
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Creators: | Creators NIM Email ORCID Cenderawan, Albert NIM03082190015 albertcenderawan123@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Ferawaty, Ferawaty NIDN0127047701 ferawaty.fik@lecturer.uph.edu |
Uncontrolled Keywords: | search; digital map; service workshop; gas station; vehicle help; mobile application; pencarian; peta digital; bengkel service; SPBU; vehicle help; aplikasi mobile |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | University Subject > Current > Faculty/School - UPH Medan > School of Information Science and Technology > Informatics Current > Faculty/School - UPH Medan > School of Information Science and Technology > Informatics |
Depositing User: | Users 29002 not found. |
Date Deposited: | 16 Feb 2023 07:38 |
Last Modified: | 16 Feb 2023 07:38 |
URI: | http://repository.uph.edu/id/eprint/54432 |