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Journal : Jurnal Tera

IMPLEMENTASI METODE SAW UNTUK REKOMENDASI MENU TERLARIS DI COFFEE SHOP Sirait, Anisa; Sulistyohati, Aprilia; Susanto, Arif
Jurnal Tera Vol 4 No 2 (2024): Jurnal Tera (September 2024)
Publisher : Fakultas Teknik dan Informatika, Universitas Dian Nusantara

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Abstract

In the era of rapid globalization, technological developments and changes in people's lifestyles affect various aspects of life, including the coffee shop business which is experiencing significant growth. Lanaka coffee shop, which focuses on coffee drinks and snacks, faces challenges in recommending best-selling menus due to rapidly changing customer tastes and market trends. To overcome this problem, this research proposes the use of the Simple Additive Weighting (SAW) method as a solution to recommend the best-selling menu at Coffee Shop Lanaka. The SAW method was chosen due to its ability to accurately assess menu criteria by considering predetermined weights. The process involves setting criteria that include taste, price, portion, and number purchased, and assigning fuzzy weights to each criterion. The weighting system is performed dynamically based on sales data and customer feedback, with two types of criteria: benefit and cost. The calculation results from the SAW method are used to rank the menu alternatives and provide the most suitable recommendation. With this approach, it is expected to increase customer satisfaction and profitability of Coffee Shop Lanaka through more efficient and up-to-date data-driven menu management
Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Metode Weighted Product Pada SDIT INSAN MADANI Dimas Zaelani; Aprilia Sulistyohati; Siti Khotijah
Jurnal Tera Vol 5 No 1 (2025): Jurnal Tera (Maret 2025)
Publisher : Fakultas Teknik dan Informatika, Universitas Dian Nusantara

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Abstract

Penentuan siswa berprestasi merupakan proses yang memerlukan objektivitas dan ketepatan dalam menilai berbagai aspek akademik dan non-akademik. Proses seleksi yang dilakukan secara manual sering kali memakan waktu, rentan terhadap subjektivitas, dan kurang efisien. Oleh karena itu, penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) untuk menentukan siswa berprestasi di SDIT Insan Madani menggunakan metode Weighted Product (WP). Metode WP dipilih karena kemampuannya dalam menilai dan mengoptimalkan berbagai kriteria dengan pendekatan perbandingan relatif. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu memberikan hasil yang lebih objektif, efisien, dan sistematis dibandingkan metode manual. Berdasarkan perhitungan, siswa dengan nilai tertinggi adalah Ade dengan skor 0.274, diikuti oleh Ika (0.201), Mega (0.188), Nanda (0.170), dan Silvia (0.168). Dengan sistem ini, pihak sekolah dapat melakukan seleksi siswa berprestasi secara lebih transparan dan akurat.