Implementasi Dashboard Data Untuk Analisis Penjualan Properti Menggunakan Business Intelligence pada PT Winka Karisma Gemilang QQ Edwin Bright Properti
Keywords:
Business Intelligence, Dashboard, Sales Analysis, Property, Data VisualizationAbstract
PT Winka Karisma Gemilang is a company engaged in property sales and marketing that still faces challenges in managing sales data. The use of Microsoft Excel as the primary data management tool results in unintegrated data, difficulties in conducting real-time analysis, and potential input errors. These issues lead to delays in information delivery and less effective managerial decision-making processes. This study aims to implement a Business Intelligence-based dashboard to support property sales analysis in a faster, more accurate, and interactive manner. The system was developed using the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. Research data were collected through observation, interviews, and literature studies. The results indicate that the developed dashboard is capable of presenting sales information through data visualization, Key Performance Indicators (KPI), sales trend analysis, and real-time agent performance monitoring. The implemented system improves data processing efficiency, facilitates sales monitoring activities, and supports more effective decision-making within the company.
References
Ayuni, D. M., & Prasetyawati, Y. R. (2020). Pengaruh Promosi Penjualan dan Kualitas Layanan terhadap Loyalitas Pelanggan. Jurnal Manajemen & Bisnis Madani, 2, 18–34.
Dipayanti, K., & Hernayadi, H. (2022). Pengaruh Promosi dan Saluran Distribusi terhadap Loyalitas Pelanggan Produk Nellco Special OBH di PT . Lenko Surya Perkasa Cabang Ciracas. Jurnal Pemasaran Kompetitif, 05(1), 180–193.
Irawan, B., & Rosyani, P. (2022). Perancangan Aplikasi Pengenalan Kebudayaan dan Pariwisata Kabupaten Cianjur Berbasis Android. TIN: Terapan Informatika Nusantara, 2(8), 521–526. https://doi.org/10.47065/tin.v2i8.1187
Perani Rosyani, & Fabian Syawali. (2023). Application of Advanced Class Determination System Using K-Means Clustering Method (Case Study: SMK Al-Badar Balaraja). International Journal of Integrative Sciences, 2(10), 1557–1570. https://doi.org/10.55927/ijis.v2i10.6347
Siswanto, B. F., & Rosyani, P. (2021). Perancangan Sistem Informasi Penggajian Karyawan Pada Tb Blitar Berbasis User Centered Design. Journal of Information System Research (JOSH), 3(1), 7–17. https://doi.org/10.47065/josh.v3i1.1096












