Pengembangan sistem informasi penjualan berbasis web dengan fitur recommendation system menggunakan multi-criteria decision analysis pada UMKM toko kue

Florencia, Gabrielle (2024) Pengembangan sistem informasi penjualan berbasis web dengan fitur recommendation system menggunakan multi-criteria decision analysis pada UMKM toko kue. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Perkembangan teknologi yang pesat mendorong transformasi ekonomi Indonesia menuju ekonomi digital. Digitalisasi yang memungkinkan proses jual-beli dilakukan secara online penting untuk diterapkan para pelaku bisnis untuk dapat meningkatkan efisiensi proses bisnis mereka. Strategi untuk membantu pengambilan keputusan pelanggan dalam melakukan pembelian, salah satunya seperti penggunaan recommendation system juga penting diterapkan agar bisnis dapat bersaing di tengah kompetisi pasar. Toko kue Pastrielle sebagai UMKM yang telah memanfaatkan teknologi informasi berupa media sosial masih mengalami berbagai kendala dikarenakan teknologi tersebut belum membantu proses bisnis toko secara efisien. Oleh karena itu, pada tugas akhir ini dilakukan pengembangan sistem informasi penjualan berbasis web dengan fitur sistem rekomendasi produk untuk membantu permasalahan dari toko kue Pastrielle. Sistem informasi untuk toko kue Pastrielle dikembangkan menggunakan metodologi Rapid Application Development dengan pendekatan prototyping. Notasi UML yang meliputi use case diagram, class diagram, activity diagram, dan table relationship diagram digunakan untuk pemodelan sistem, serta sistem dikembangkan menggunakan bahasa pemrograman PHP dan framework CodeIgniter 4. Fitur sistem rekomendasi produk yang terdapat pada sistem dikembangkan dengan menggunakan metode Multi-Criteria Decision Analysis berbasis Analytic Hierarchy Process untuk dapat memberikan rekomendasi berdasarkan berbagai kriteria pelanggan. Hasil dari tugas akhir ini yang berupa sistem informasi penjualan dengan fitur sistem rekomendasi produk dapat membantu toko kue Pastrielle dalam proses penjualan dan pengelolaan data, serta membantu pelanggan toko dalam memberikan rekomendasi produk berdasarkan kriteria preferensi dan kebutuhannya. Sistem telah diuji menggunakan metode black-box testing dan hasil pengujian tersebut menunjukkan bahwa sistem telah memenuhi system requirements yang dibutuhkan oleh toko kue Pastrielle./ The rapid advancement of technology is driving Indonesia's economic transformation towards digital economy. Digitalization, enabling online buying and selling processes, is crucial for businesses to enhance operational efficiency. Strategies, such as implementing recommendation systems, are essential to assist customer decision-making and remain competitive in the market. Despite utilizing information technology through social media, Pastrielle Cake Shop as a Small and Medium-sized Enterprise (SME) still faces challenges as technology has not efficiently supported its business processes. Therefore, this final project focuses on developing a web-based sales information system with a product recommendation feature to address Pastrielle Cake Shop's challenges. The information system for Pastrielle Cake Shop is developed using the Rapid Application Development methodology with a prototyping approach. UML notations, including use case diagrams, class diagrams, activity diagrams, and table relationship diagrams, are employed for system modeling. The system is developed using the PHP programming language and the CodeIgniter 4 framework. The product recommendation feature uses the Multi-Criteria Decision Analysis method based on the Analytic Hierarchy Process to provide recommendations based on various customer criteria. The final project's outcome, a sales information system with a product recommendation feature, assists Pastrielle Cake Shop in sales processes, data management, and provides its customers with product recommendations based on preferences and needs. The system has undergone black-box testing, demonstrating compliance with all system requirements required by Pastrielle Cake Shop.

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