Muhamad Fadly Febrian, . (2025) SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI MENU KAFE DENGAN METODE TOPSIS BERDASARKAN PENILAIAN PELANGGAN PADA KAFE OVER LIMIT COFFEE JAKARTA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Over Limit Coffee Jakarta has a variety of menus ranging from food, coffee drinks, and non-coffee drinks. However, the variety of menu options often makes it difficult for customers to choose the right menu. The questionnaire findings support this issue, where the majority of respondents considered that the existence of menu recommendations and reviews from other customers play an important role in making choices. The lack of a system to provide objective recommendations is one of the obstacles. This research aims to design and implement a website-based decision support system using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, which is able to recommend menus accurately based on direct assessments from customers at Over Limit Coffee Cafe Jakarta. Data collection was conducted using three main techniques, namely observation, questionnaires, and interviews. This system applies five main criteria determined by users, namely price, portion, taste, cleanliness and hygiene, and uniqueness of the menu. In this research, a website-based decision support system has been produced which has the main features of menu assessment, weight assessment, and menu recommendations. The system has successfully answered the above problems through the features built and has been tested using black-box testing to ensure all features run as needed
Item Type: | Thesis (Skripsi) |
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Additional Information: | [No.Panggil: 2110512003] [Pembimbing 1: Ati Zaidiah] [Pembimbing 2: Intan Hesti Indriana] [Penguji 1: Tri Rahayu] [Penguji 2: I Wayan Widi Pradnyana] |
Uncontrolled Keywords: | Customer Review, Menu Recommendation, Decision Support System, TOPSIS |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
Depositing User: | MUHAMAD FADLY FEBRIAN |
Date Deposited: | 07 Aug 2025 01:51 |
Last Modified: | 07 Aug 2025 01:51 |
URI: | http://repository.upnvj.ac.id/id/eprint/37355 |
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