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Designing A Web-Based Content-Based Filtering Method for A Culinary Marketplace Shiddiq, Zulfikar; Suendri, Suendri; Sibarani, Fathiya Hasyifah
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 4 No. 2 (2025): September 2025
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v4i2.5652

Abstract

The development of information technology has made various aspects of life easier, including product marketing through marketplace applications. In Pasar Bengkel Village, known as a culinary center, vendors have experienced a decline in the number of customers due to the operation of the Medan–Tebing Tinggi toll road, which has reduced visitor traffic. The purpose of this study is to design a marketplace application with a recommendation system that can help vendors increase product visibility and attract customers back. The research method is the application of a Content-Based Filtering-based recommendation system with the Term Frequency–Inverse Document Frequency (TF-IDF) algorithm to process product description data and generate relevant recommendations for users. The result of this study is a marketplace application that is able to provide personalized product recommendations based on the frequency of word occurrences in product descriptions using the TF-IDF technique. In conclusion, this application is expected to be an innovative solution in increasing the competitiveness of local culinary vendors by expanding their marketing reach and maintaining the sustainability of their businesses..
Rancang Bangun E- Commerce Toko Ainun Tas Menggunakan Metode Economic Order Quantity dan Perilaku Konsumen Berbasis Web Utami, Lola Citra; Suendri, Suendri; Sibarani, Fathiya Hasyifah
Jurnal Ilmiah Sains dan Teknologi Vol. 9 No. 2 (2025): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v9i2.3966

Abstract

Ainun Bag Store is a fashion retail business specializing in the sale of high-quality women’s bags, both locally made and imported, at affordable prices. However, the store still relies on manual systems for managing operations, marketing, transactions, and inventory. Customers are required to visit the store directly to make purchases, and all transaction records are manually written in physical ledgers. This conventional method has several limitations, such as inefficient inventory management, potential human error, and a lack of accessible sales data. Additionally, consumer behavior—such as satisfaction with service—has a direct impact on sales performance. This study aims to design and develop a web-based e-commerce platform for Ainun Bag Store by applying the Economic Order Quantity (EOQ) method and Consumer Behavior Analysis. The EOQ method is implemented to optimize stock levels and reduce storage costs, while Consumer Behavior Analysis is used to understand customer preferences and improve overall satisfaction. 
Implementasi Metode SMARTER dan TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Bibit Cabai Merah Yang Unggul Rezeki, Putri Sri; Irawan, Muhammad Dedi; Sibarani, Fathiya Hasyifah
JURNAL ILMIAH INFORMATIKA Vol 14 No 01 (2026): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v14i01.10700

Abstract

The productivity of red chili cultivation highly depends on the quality of seeds used by farmers. However, identifying superior red chili seeds is often difficult, leading to low yields and even crop failure. This study aims to design a Decision Support System (DSS) for selecting superior red chili seeds using the SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. The SMARTER method is applied to determine the weight of each criterion based on the Rank Order Centroid (ROC), while the TOPSIS method is used to rank alternative seed varieties. Seven criteria were considered: price, disease resistance, harvest time, fruit length, fruit weight, number of branches, and yield potential. The system was developed using a waterfall model and implemented in a web-based application with PHP and MySQL. The results showed that the best-ranked alternative was the Tangguh F1 variety with a preference value of 0.7429, followed by Kastilo and TM999. The developed DSS provides structured, efficient, and transparent recommendations, thus helping farmers and agricultural agencies in decision-making for selecting superior red chili seeds.