PENGEMBANGAN APLIKASI PENGAJUAN POLIS ASURANSI SEPEDA PADA BRINSMOBILE DENGAN OPTIMALISASI MENGGUNAKAN METODE DEEP LEARNING

Pelangi Dwi Mawarni, . (2025) PENGEMBANGAN APLIKASI PENGAJUAN POLIS ASURANSI SEPEDA PADA BRINSMOBILE DENGAN OPTIMALISASI MENGGUNAKAN METODE DEEP LEARNING. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The development of Insurtech technology has driven insurance companies to compete in providing optimal services to customers in the digital era. PT BRI Insurance responds to this challenge by launching the BRINSmobile application, which facilitates the purchase of insurance policies. However, the application remains vulnerable to fraud risks, particularly in bicycle insurance policy submissions. This study aims to develop a bicycle insurance policy submission system integrated into the BRINSmobile application by utilizing Deep Learning technologies, namely Object Detection (YOLO) and Optical Character Recognition (OCR). YOLO is used to detect the presence of a bicycle in user-uploaded images, while OCR is employed to read and verify information from documents such as ID cards (KTP) and invoices. The system is developed using Laravel as the main frontend and backend framework, and Flask as a microservice for model processing. The implementation results show that integrating YOLO and OCR enhances the efficiency and accuracy of the policy validation process. Therefore, this system is expected to assist the company in accelerating verification processes and minimizing errors and fraud in bicycle insurance applications.

Item Type:	Thesis (Skripsi)
Additional Information:	[No.Panggil: 2110512028] [Pembimbing 1: Bambang Saras Yulistiawan] [Pembimbing 2: Ika Nurlaili Isnainiyah] [Penguji 1: Widya Cholil] [Penguji 2: Bambang Tri Wahyono]
Uncontrolled Keywords:	Insurance, Bicycle, YOLO, OCR, Deep Learning, BRINSmobile
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User:	PELANGI DWI MAWARNI
Date Deposited:	22 Aug 2025 07:20
Last Modified:	22 Aug 2025 07:20
URI:	http://repository.upnvj.ac.id/id/eprint/37062

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