Development of a Web Based E-Commerce System for Bouquet Ordering: A Case Study of Maiflorist
DOI:
https://doi.org/10.5201/jet.v5i2.491Kata Kunci:
Decision Support System, Subsidized Livable Housing, Simple Additive Weighting, MySQLAbstrak
E-commerce has become a widely adopted method for online purchasing, providing convenience and accessibility for both businesses and consumers. A web-based sales information system expands sales reach and enables business operators to efficiently manage and access critical information. This study investigates the development of a website-based e-commerce information system specifically designed for bouquet orders, addressing the need for efficient order management in the floral retail sector. The research employs a descriptive qualitative approach, supported by library research, and utilizes system design tools including UML, activity diagrams, context diagrams, and flowcharts to design and streamline the bouquet ordering process. The system was evaluated through user testing, revealing that the proposed website-based e-commerce platform substantially simplifies the ordering experience for customers. Key features include an admin login page, administrator dashboard, customer registration and login pages, bouquet homepage, bouquet catalog, product information, and shopping cart. This system enables Maiflorist to manage inventory efficiently and supports warehouse, sales, and purchasing staff in organizing product management, leading to faster order processing and enhanced customer satisfaction
Referensi
Zhang, J. (2021). "E-commerce: Benefits and Challenges in Modern Retail." Journal of Business and Technology, 45(3), 112-118.
Tan, L., & Sim, J. (2020). "The Impact of Internet Access on Business Expansion." International Journal of Information Systems, 39(4), 78-83.
Hasdyna, N., & Dinata, R. K. (2024). Comparative Analysis of K-Medoids and Purity K-Medoids Methods for Identifying Accident-Prone Areas in North Aceh Regency. Scientific Journal of Informatics, 11(2), 263-272.
Lee, C., Kim, S., & Park, H. (2022). "Optimizing E-commerce Platforms for Customer Retention." Journal of Digital Marketing, 18(2), 45-50.
Husna, A., Hasdyna, N., & Rijal, H. (2024). Implement the Analytical Hierarchy Process (AHP) and K-Nearest Neighbor (KNN) Algorithms for Sales Classification. Journal of Advanced Computer Knowledge and Algorithms, 1(4), 84-88.
Hasdyna, N. (2024). Predictive Modeling of Broiler Chicken Production Using the Naive Bayes Classification Algorithm. Jurnal Techno Nusa Mandiri, 21(1), 22-28.
Arifin, M., & Sari, D. (2020). "The Role of Web Usability in E-commerce Success." Asian Journal of Information Technology, 21(2), 101-108.
Hasdyna, N., Dinata, R. K., Retno, S., Fajri, T. I., & Mutasar, M. (2024). Sosialisasi Peningkatan Pengelolaan dan Efisiensi Sistem Informasi Perpustakaan Kitab di Dayah Darul Ulum Desa Alue Awe Kota Lhokseumawe. Jurnal Pengabdian kepada Masyarakat Nusantara, 5(2), 2003-2008.
Putra, A., & Wibowo, M. (2019). "Design and Implementation of E-commerce Systems for Small Business." Journal of Small Business Technology, 11(1), 30-37.
Hasdyna, N., Rahmat, M., & Rahmati, A. H. (2024). Decision Support System for Eligibility of Subsidized Livable Housing Using Simple Additive Weighting Method in Pulo Village. Jurnal Elektronika dan Teknologi Informasi, 5(1), 1-6.
Kurniawan, D. (2021). "Digital Presence in Small Businesses: Enhancing Sales Potential through Websites." International Journal of Business Development, 23(5), 45-52.
Hasdyna, N., Dinata, R. K., & Retno, S. (2023). A Web-Based Decision Support System Implementation for Evaluating Premier Smartphone Brands Using Weighted Product Method. SMATIKA JURNAL: STIKI Informatika Jurnal, 13(02), 329-338.
Dinata, R. K., Adek, R. T., Hasdyna, N., & Retno, S. (2023, August). K-nearest neighbor classifier optimization using purity. In AIP Conference Proceedings (Vol. 2431, No. 1). AIP Publishing.
Yuliana, R., & Kurniawati, M. (2019). "The Floral Industry and Online Sales Platforms: A Growing Market. " Business Trends Journal, 14(1), 88-94.
Hasdyna, N., Fajri, T. I., & Jabar, M. (2023). Sistem Penentuan Prioritas Penerima Rehab Rumah Dhuafa Menggunakan Metode TOPSIS Berbasis Web. INFORMAL: Informatics Journal, 8(1), 85-93.
Hasdyna, N., Dinata, R. K., & Retno, S. (2023). Analysis of the Topsis in the Recommendation System of PPA Scholarship Recipients at Universitas Islam Kebangsaan Indonesia. Jurnal Transformatika, 21(1), 28-37.
Wijaya, R., & Santoso, B. (2020). "The Importance of Website Development for Small Businesses in Competitive Markets." Journal of Business Strategy, 35(3), 112-118.
Dinata, R. K., Retno, S., & Hasdyna, N. (2021). Minimization of the Number of Iterations in K-Medoids Clustering with Purity Algorithm. Rev. d'Intelligence Artif., 35(3), 193-199.
Dinata, R. K., Safwandi, S., Hasdyna, N., & Mahendra, R. (2020). Kombinasi Algoritma Brute Force dan Stemming pada Sistem Pencarian Mashdar. CESS (Journal of Computer Engineering, System and Science), 5(2), 273-278.
Hasdyna, N., & Dinata, R. K. (2020). Analisis Matthew Correlation Coefficient pada K-Nearest Neighbor dalam Klasifikasi Ikan Hias. INFORMAL: Informatics Journal, 5(2), 57-64.
Dinata, R. K., Safwandi, S., Hasdyna, N., & Azizah, N. (2020). Analisis k-means clustering pada data sepeda motor. INFORMAL: Informatics Journal, 5(1), 10-17.
Kurniawan, D. (2021). "Digital Presence in Small Businesses: Enhancing Sales Potential through Websites." International Journal of Business Development, 23(5), 45-52.
Yuliana, R., & Kurniawati, M. (2019). "The Floral Industry and Online Sales Platforms: A Growing Market." Business Trends Journal, 14(1), 88-94.
Dinata, R. K., Akbar, H., & Hasdyna, N. (2020). Algoritma K-Nearest Neighbor dengan Euclidean Distance dan Manhattan Distance untuk Klasifikasi Transportasi Bus. ILKOM Jurnal Ilmiah, 12(2), 104-111.
Wijaya, R., & Santoso, B. (2020). "The Importance of Website Development for Small Businesses in Competitive Markets." Journal of Business Strategy, 35(3), 112-118.
