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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vrisa Arana Salsabilla
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Computer Science & IT Industrial & Manufacturing Engineering

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Sistem Informasi Penjualan Berbasis Web dengan Metode Perpetual pada Aplikasi Website FURNIE Aprilia Pramudita; Fajar Bagus Saputra; Miftahuda Adhananto; Vrisa Arana Salsabilla
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 1 (2025): Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i1.1412

Abstract

This study aims to design and develop a web-based sales information system for the Furnie application using a perpetual inventory recording method. The system is built using the Waterfall approach and technologies such as PHP, MySQL, and Laravel. The main goal is to improve transaction recording efficiency, inventory data accuracy, and support a more structured and responsive business process. The implementation results indicate that the system effectively facilitates product and order management, as well as automated reporting through a user-friendly interface. It also supports third-party service integration, notifications, and promotional features, contributing to enhanced user satisfaction. This approach positions Furnie as a suitable digital solution for modernizing furniture store operations in a more efficient and adaptive way.
Sistem Pendukung Keputusan Dalam Pemilihan Smartphone Terbaik Menggunakan Metode SAW Fadilah Nuria Handayani; Intan Diasih; Vrisa Arana Salsabilla; Aprilia Pramudita
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 3 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.127

Abstract

The development of smartphone technology is becoming faster and more diverse, so consumers are often faced with problems in choosing smartphones that fit their needs and budgets. Decision Support System (DPS) can help consumers make the right decisions. The purpose of this research is to design the best smartphone decision support system using the Simple Additive Weighting (SAW) method. The SAW method is used to calculate the weight of smartphone attributes such as Price, Internal Memory, Smartphone Processing Performance and Speed, Camera Quality, Battery Capacity so that it can provide a solution to consumers in choosing smartphones according to their wishes and needs.
Co-Authors Aprilia Pramudita Fadilah Nuria Handayani Fajar Bagus Saputra Intan Diasih Miftahuda Adhananto