PERANCANGAN DASHBOARD DAN PREDIKSI PENJUALAN UNTUK TOKO NAGAMASYURMART
Article Sidebar
Main Article Content
Abstract
The impact of Covid-19 has affected the economy individually, households, micro, small, medium and large companies, even affecting the country's economy with a scale of local, national and even global coverage. Although on the one hand the economy is weakening, on the other hand, the economy is also experiencing improvement, namely in the electronic commerce or e-commerce sector. Consumer needs for various kinds of products that can prevent and protect themselves from the transmission of Covid-19, such as masks, have increased. The increase in various types of masks from various manufacturers makes it difficult for Nagamasyurmart stores to monitor sales and make decisions in predicting future product sales. The purpose of designing this dashboard is to make it easier for store owners to find out sales information in visual form and make decisions easier. Sales data used in designing this dashboard is sales data from Nagamasyurmart Stores. The method used in designing this dashboard is the prototype method, while the prediction method used is the linear regression method. The results obtained are a sales dashboard with sales predictions to make it easier for store owners to make decisions for further sales.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Jurnal Komunikasi Creative Commons Attribution-ShareAlike 4.0 International License.
References
Taufik, T., & Ayuningtyas, E. A. (2020). Dampak Pandemi Covid 19 Terhadap Bisnis Dan Eksistensi Platform Online. Jurnal Pengembangan Wiraswasta, 22(01), 21-32.
Ayu, S., & Lahmi, A. (2020). Peran e-commerce terhadap perekonomian Indonesia selama pandemi Covid-19. Jurnal Kajian Manajemen Bisnis, 9(2), 114-123.
Gunawan, K. R. (2020). Dampak covid 19 terhadap penjualan masker dan hand sanitizer di kabupaten sumenep. Eco-Entrepreneur, 6(1), 25-33.
Sulistiani, H. (2018). Perancangan Dashboard Interaktif Penjualan (Studi Kasus: PT Jaya Bakery). Jurnal Tekno Kompak, 12(1), 15-17.
Dewi, K. I., Syofiawan, D., & Grace, T. U. (2018). Pembangunan Dashboard Sebagai Alat Monitoring Dan Evaluasi Pada Toko Permata Batam. Jurnal Responsive, 2(2).
Maulida, S., Hamidy, F., & Wahyudi, A. D. (2020). Monitoring Aplikasi Menggunakan Dashboard untuk Sistem Informasi Akuntansi Pembelian dan Penjualan (Studi Kasus: UD Apung). Jurnal Tekno Kompak, 14(1), 47-53.
Soemohadiwidjojo, A. T. (2015). Panduan Praktis Menyusun KPI. Raih Asa Sukses.
Dipura, S., & Soediantono, D. (2022). Benefits of Key Performance Indicators (KPI) and Proposed Applications in the Defense Industry: A Literature Review. International Journal of Social and Management Studies, 3(4), 23-33.
Wahono, S., & Ali, H. (2021). Peranan Data Warehouse, Software Dan Brainware Terhadap Pengambilan Keputusan (Literature Review Executive Support Sistem for Business). Jurnal Ekonomi Manajemen Sistem Informasi, 3(2), 225-239.
Subuh, D., & Yasman, W. (2019). Implementasi Data Warehouse Dan Penerapannya Pada Toko Magnifique Clothes Dengan Menggunakan Tools Pentaho. Prosiding SENIATI, 29-36.
Hilman, M., & Djamaludin, D. (2018). Analisis Faktor Optimalisasi Proses Etl Pada Data Warehouse Sebagai Pendukung Pengambilan Keputusan Management Dengan Business Intelligence. Faktor Exacta, 11(1), 24-34.
Akbar, M., & Rahmanto, Y. (2020). Desain data warehouse penjualan menggunakan Nine Step Methodology untuk business intelegency pada PT Bangun Mitra Makmur. Jurnal Informatika Dan Rekayasa Perangkat Lunak, 1(2), 137-146.
Nugraha, W., & Syarif, M. (2018). Penerapan Metode Prototype Dalam Perancangan Sistem Informasi Penghitungan Volume Dan Cost Penjualan Minuman Berbasis Website. JUSIM (Jurnal Sistem Informasi Musirawas), 3(2), 94-101.
Nurajizah, S. (2015). Sistem Informasi Perpustakaan Berbasis Web Dengan Metode Prototype: Studi Kasus Sekolah Islam Gema Nurani Bekasi. SNIT 2015, 1(1), 213-218.
Ayuni, G. N., & Fitrianah, D. (2019). Penerapan Metode Regresi Linear Untuk Prediksi Penjualan Properti pada PT XYZ. Jurnal telematika, 14(2), 79-86.
Khotimah, T., & Nindyasari, R. (2017). Forecasting Dengan Metode Regresi Linier Pada Sistem Penunjang Keputusan Untuk Memprediksi Jumlah Penjualan Batik (Studi Kasus Kub Sarwo Endah Batik Tulis Lasem). Jurnal Mantik Penusa, 1(1).