Aplikasi Web Pemasaran Produk Makanan UMKM Dengan Fitur Pencarian Menggunakan Algoritma Boyer-Moore (Studi Kasus: UMKM Ombe Baru)

The development of information technology provides great opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand the reach of their product marketing through digital media. However, many MSMEs still do not have an effective digital platform to market their products independently. This study aims to design and build a web application for marketing MSME food products with a search feature based on the Boyer-Moore algorithm, which can speed up the product search process and increase system efficiency. The system development method used is the Waterfall model, including the stages of needs analysis, design, implementation, testing, and maintenance. The application is built using HTML5, CSS3, JavaScript, PHP, and MySQL technologies, with the Boyer-Moore algorithm implemented in the search feature to speed up keyword matching. The test results show that the application runs well, is responsive, and is able to display search results quickly, especially when the amount of product data increases. Performance testing shows that the Boyer-Moore algorithm has a faster response time than conventional search methods. This application is expected to be a practical and efficient digital solution in helping MSMEs market food products independently and competitively in the digital era.

Authors

Institutions

Publication Details

Journal
Journal of Computer Science and Information Technology
Published
2025-05-26
DOI
https://doi.org/10.70716/jocsit.v1i1.189
Primary Topic
SMEs Development and Digital Marketing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aplikasi Web Pemasaran Produk Makanan UMKM Dengan Fitur Pencarian Menggunakan Algoritma Boyer-Moore (Studi Kasus: UMKM Ombe Baru)

Selvia Rosita
Journal of Computer Science and Information Technology
SMEs Development and Digital Marketing
article

Aplikasi Web Pemasaran Produk Makanan UMKM Dengan Fitur Pencarian Menggunakan Algoritma Boyer-Moore (Studi Kasus: UMKM Ombe Baru)

Selvia Rosita
article en

Abstract

The development of information technology provides great opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand the reach of their product marketing through digital media. However, many MSMEs still do not have an effective digital platform to market their products independently. This study aims to design and build a web application for marketing MSME food products with a search feature based on the Boyer-Moore algorithm, which can speed up the product search process and increase system efficiency. The system development method used is the Waterfall model, including the stages of needs analysis, design, implementation, testing, and maintenance. The application is built using HTML5, CSS3, JavaScript, PHP, and MySQL technologies, with the Boyer-Moore algorithm implemented in the search feature to speed up keyword matching. The test results show that the application runs well, is responsive, and is able to display search results quickly, especially when the amount of product data increases. Performance testing shows that the Boyer-Moore algorithm has a faster response time than conventional search methods. This application is expected to be a practical and efficient digital solution in helping MSMEs market food products independently and competitively in the digital era.

Journal of Computer Science and Information TechnologyVol. 1(1)
University of Mataram (ID), Universitas Teknologi Indonesia (ID)
Openalex Percentile: Top 76%
SMEs Development and Digital Marketing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.