Published: 2025-04-01

Perancangan Website Pemesanan Menggunakan Metode Waterfall Pada Cafe Ungu Universitas Amikom Purwokerto

DOI: 10.35870/jtik.v9i2.3321

Az Zahra Dwi Nur Adiya, Dea Lili Anggraeni, Muhammad Akhmal Al Raidhan, Tarwoto
  • Az Zahra Dwi Nur Adiya: , Universitas Amikom Purwokerto , Indonesia
  • Dea Lili Anggraeni: , Universitas Amikom Purwokerto , Indonesia
  • Muhammad Akhmal Al Raidhan: , Universitas Amikom Purwokerto , Indonesia
  • Tarwoto: , Universitas Amikom Purwokerto , Indonesia
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Abstract

The advancement of information technology has significantly transformed operational management in various sectors, including the culinary industry. Cafe Ungu at Universitas Amikom Purwokerto serves as a campus facility offering a variety of food and beverages to students, staff, and visitors. However, the conventional ordering method relying on direct interaction often leads to long queues and recording errors, hindering service effectiveness. To address this issue, this study designs a web-based ordering information system using the Waterfall method, encompassing the stages of requirements analysis, design, development, testing, and maintenance. The system is designed to allow customers to place orders online, assist administrators in managing orders, and provide transaction data for business analysis purposes. The implementation results indicate that this system can improve operational efficiency, reduce ordering errors, and enhance customer satisfaction. Therefore, this information system is expected to be a strategic solution for Cafe Ungu in addressing order management challenges in the digital era.

Keywords

Design ; Website ; Information Systems ; Waterfall

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Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 2 (2025)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2025

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