Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Krisnadana
Rio Febrian
Program Studi Sistem Informasi, Universitas Harapan Medan, Medan, Indonesia
Computer Science & IT Control & Systems Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Web-Based Information System at PT Panin Dai-Ichi Life Using Object-Oriented Analysis and Design Rio Febrian; Yanty Faradillah
Jurnal Krisnadana Vol 5 No 1 (2025): Jurnal Krisnadana- in Progress September-October 2025
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v5i1.980

Abstract

In today’s digital era, information systems play a strategic role in improving operational efficiency and competitive advantage, particularly in the financial services sector such as the insurance industry. This study proposes the development of a web-based information system due to its flexibility and ease of access. At PT Panin Dai-Ichi Life, the existing systems for agents, administrators, staff, and customers remain fragmented, leading to data duplication, lengthy processes, and inaccurate information. The objective of this research is to design a web-based information system for PT Panin Dai-Ichi Life using the Object-Oriented Analysis and Design (OOAD) approach as the system modeling and design methodology. The system will be implemented through a website (paninasuransi.my.id) accessible by administrators, staff, agents, and customers. This integration is expected to create an efficient, maintainable, and adaptive system that meets the company’s needs. The system design is developed using Unified Modeling Language (UML), including Use Case, Activity, Sequence, and Class Diagrams, and validated through Black Box Testing. The research demonstrates that the proposed information system can resolve major issues in managing user, customer, policy, and claim data, ensuring structured and well-documented data processing across the organization.
Co-Authors Yanty Faradillah