Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Algoritma Journal Computer Science and Applied Technology
William Ramadhan
Universitas Royal
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penerapan SAW Method Untuk Menentukan Produk Unggulan Berdasarkan Penjualan Nisa Collection Dini Selfidayanti; William Ramadhan; Sudarmin
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3304

Abstract

This study aims to apply the Simple Additive Weighting (SAW) method in a web-based Decision Support System (DSS) to determine the leading products in the Nisa Collection. The problem faced is that the determination of leading products is still subjective and only considers one sales indicator. This study analyzes 10 product alternatives based on four criteria, namely sales volume (0.40), transaction frequency (0.15), stock turnover (0.20), and price (0.25). The calculation process is carried out through the formation of a decision matrix, normalization of benefits and costs, and calculation of preference values. The results show that alternative A7 (Men's T-shirts) obtained the highest preference value of 1.00, followed by A1 and A2 with a value of 0.92. The sensitivity test shows that the top ranking remains stable against weight changes, confirming the consistency of the method. The scientific contribution of this research lies in the comprehensive application of SAW in the context of MSME retail based on quantitative sales data with decision stability analysis, thus providing an objective, measurable, and transparent product evaluation model compared to previous manual approaches.
SISTEM PAKAR METODE FORWARD CHAINING MENDIAGNOSA  KEBUTUHAN GIZI BAYI BERBASIS WEB Tiurma Br Dolok Saribu; William Ramadhan; Rika Nofitri
Journal Computer Science and Applied Technology Vol. 3 No. 1 (2025): J-CSAT - Februari
Publisher : PT. Cahaya Pena Tech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67401/j-csat.v3i1.24

Abstract

Pemenuhan gizi bayi berperan penting dalam mendukung pertumbuhan dan perkembangan yang optimal. Kurangnya pengetahuan orang tua serta pengelolaan data gizi yang masih dilakukan secara manual di Posyandu Sidomukti menyebabkan proses diagnosis dan penyampaian informasi menjadi kurang efektif. Penelitian ini bertujuan membangun sistem pakar diagnosis kebutuhan gizi bayi menggunakan metode Forward Chaining. Data penelitian diperoleh melalui observasi, wawancara, dan studi pustaka, kemudian diimplementasikan ke dalam sistem berbasis web. Metode Forward Chaining digunakan untuk melakukan inferensi berdasarkan gejala yang dipilih hingga menghasilkan rekomendasi kebutuhan gizi sesuai aturan pakar. Hasil penelitian menunjukkan bahwa sistem mampu membantu tenaga kesehatan dan orang tua dalam mendiagnosis kebutuhan gizi bayi secara cepat, tepat, dan konsisten, serta meningkatkan efisiensi pengelolaan data gizi di posyandu
Co-Authors Dini Selfidayanti Rika Nofitri Sudarmin Tiurma Br Dolok Saribu