Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Andika Agung Triadha
Universitas Pamulang
Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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

Found 1 Documents
Search

 1 
Implementasi Dashboard Data untuk Analisis Penjualan PT Anugerah Bersama Bogor Andika Agung Triadha; Farizi Ilham; Aryo Maulana Putra; Muhammad Azhar Rahmatullah
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 4 No. 2 (2026): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia (INPRESS)
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT Anugerah Bersama Bogor is a company engaged in clean water distribution services using tanker truck fleets. The sales data management process is still conducted manually through phone calls, WhatsApp messages, and delivery reports, resulting in difficulties in transaction monitoring, delays in report generation, and limited data analysis for decision-making purposes. This study aims to implement a web-based data dashboard capable of presenting integrated, real-time, and easy-to-understand sales information. The research applied the Waterfall model of the System Development Life Cycle (SDLC), consisting of requirements analysis, system design, implementation, and testing phases. Data were collected through observation, interviews, and literature studies. The system was developed using the Laravel framework and MySQL database and provides features such as interactive data visualization, dynamic filtering, Key Performance Indicators (KPI), sales forecasting, report export, and scheduled data refresh. The implementation results indicate that the dashboard improves the efficiency of sales data management, accelerates reporting activities, facilitates real-time sales performance monitoring, and supports faster and more accurate managerial decision-making. Therefore, the proposed system can serve as an effective solution for enhancing sales information management within the company.
Co-Authors Aryo Maulana Putra Farizi Ilham Muhammad Azhar Rahmatullah