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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Fajar Bagus Saputra
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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 Pemilihan Siswa Berprestasi Dengan Metode SAW ( Studi Kasus SDN Kedunglumbu) Andhika Dias F; Dandi Riski Saputra; Fajar Bagus Saputra; Naufaldi Rizqi Eka P; Rahmat Nur Shidi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.232

Abstract

This study develops a Decision Support System (DSS) for selecting outstanding students at SDN Kedunglumbu using the Simple Additive Weighting (SAW) method. The main goal of this DSS is to help the school determine outstanding students more objectively and efficiently. The SAW method was chosen for its ability to provide weighted sums of relevant criteria, ensuring accurate and fair decisions. The system development follows a waterfall approach, with structured stages from planning to implementation. The evaluation criteria include PPKN, Indonesian Language, Science, Social Studies, and Mathematics, with seven students as the evaluated alternatives. The implementation of the DSS successfully displays information about outstanding students clearly, with Natasha Cahya Putri Ayu selected as the outstanding student with the highest preference score of 0.786. System testing using the blackbox testing method confirms that the system operates as expected, and calculations using the SAW method are consistent with manual calculations. Overall, the developed DSS successfully facilitates the selection process of outstanding students efficiently and objectively, while the SAW method proves effective in providing reliable results and supporting better decision-making in the educational environment.
Co-Authors Andhika Dias F Aprilia Pramudita Dandi Riski Saputra Miftahuda Adhananto Naufaldi Rizqi Eka P Rahmat Nur Shidi Vrisa Arana Salsabilla