Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Infotek : Jurnal Informatika dan Teknologi
Syahrul Ridho R Rauf
Universitas Negeri Gorontalo
Computer Science & IT Control & Systems Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Informasi Web Klasterisasi UMKM Kota Gorontalo Menggunakan Algoritma K-Means Syahrul Ridho R Rauf; Indhitya R. Padiku; Rahmat Taufik R. L. Bau; Lillyan Hadjaratie; Eka Vickraien Dangkua
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34903

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are strategic pillars of the national economy; however, business owners in Gorontalo City still face challenges such as low digital literacy and limited technology adoption. Current government marketing assistance is considered suboptimal because it still relies on a mass mentoring approach (one-size-fits-all), ignoring the heterogeneous maturity levels of each business unit. This study aims to design and develop a web-based information system that automates MSME clustering using the K-Means algorithm while simultaneously acting as a recommendation engine for personalized digital marketing strategies. The software was developed using the linear sequential Waterfall model. The algorithm's processing successfully mapped a population of 112 data points into three functional clusters: Traditional Micro Enterprises (28 units), Developing Small Enterprises (52 units), and Modern Medium Enterprises (32 units). Functionality testing using the Black Box method showed that the system is 100% valid with no errors. Furthermore, interface usability evaluation using the System Usability Scale (SUS) achieved a score of 84.125, earning an "Excellent" rating. This research contributes by providing an integrated system foundation that shifts the government's coaching paradigm from mass promotion to data-driven precision marketing, thereby accelerating the digital transformation of MSMEs objectively and sustainably.
Co-Authors Eka Vickraien Dangkua, Eka Vickraien Indhitya R Padiku Lillyan Hadjaratie Rahmat Taufik R. L. Bau