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Journal : Jurnal Widya

DESIGN PERANCANGAN SISTEM INFORMASI WEBSITE PENJUALAN KOPI BERBASIS WEB MENGGUNAKAN TEXT EDITOR VISUAL STUDIO CODE Lubis, Mhd. Dicky Syahputra
JURNAL WIDYA Vol. 6 No. 1 (2025): Jurnal Widya (April 2025)
Publisher : Akademi Manajemen Informatika dan Komputer Widya Loka Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54593/awl.v6i1.144

Abstract

Dalam era digital yang semakin berkembang, kebutuhan akan sistem informasi yang efektif dan efisien menjadi sangat penting bagi bisnis. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi penjualan kopi berbasis web yang dapat membantu pengelolaan data penjualan, stok barang, dan interaksi dengan pelanggan. Sistem ini dikembangkan menggunakan Visual Studio Code sebagai lingkungan pengembangan utama, dengan memanfaatkan berbagai teknologi web seperti HTML, CSS, JavaScript, dan PHP untuk backend. Hasil dari penelitian ini adalah sebuah sistem informasi yang user-friendly, mampu mengelola data secara real-time, dan dapat diakses dari berbagai perangkat. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi operasional dan kepuasan pelanggan dalam bisnis penjualan kopi.
ANALISIS SEGMENTASI PELANGGAN E-COMMERCE MENGGUNAKAN K-MEANS DAN AI UNTUK STRATEGI PEMASARAN PERSONALISASI Muhammad Fauzi; Lubis, Mhd. Dicky Syahputra
JURNAL WIDYA Vol. 6 No. 2 (2025): Jurnal Widya (Oktober 2025)
Publisher : Akademi Manajemen Informatika dan Komputer Widya Loka Medan

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Abstract

The rapid growth of e-commerce platforms presents challenges in understanding customer behaviour to apply targeted marketing strategies. This research combines the K-Means clustering method and Artificial Intelligence (AI) techniques for customer segmentation, enabling personalized marketing. A publicly available e-commerce customer transaction dataset was processed using the Recency, Frequency, Monetary (RFM) model and additional behavioural features. The Elbow and Silhouette methods were applied to determine the optimal number of clusters. The findings identified three main customer segments: “Premium Customers”, “Potential Customers”, and “New/Transient Customers”. AI was used to predict the segment membership of new customers based on historical data. The results are implemented through a simple blue-and-white web interface that provides personalized marketing campaign recommendations for each segment. This research contributes an end-to-end framework from data analysis to practical AI-based segmentation implementation for e-commerce. Keywords: customer segmentation, K-Means clustering, artificial intelligence, e-commerce, personalized marketing.
PERANCANGAN SISTEM INFORMASI BEASISWA DAN REKOMENDASI CALON PENERIMA BEASISWA BERBASIS WEB DI YAYASAN HIDUP MANDIRI AWALI SEMANGAT (HIMNAS) Hulu, Alirman; Lubis, Mhd. Dicky Syahputra; Muhammad. Fauzi
JURNAL WIDYA Vol. 6 No. 2 (2025): Jurnal Widya (Oktober 2025)
Publisher : Akademi Manajemen Informatika dan Komputer Widya Loka Medan

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Abstract

The development of information technology has significantly impacted various fields, including education. The Hidup Mandiri Awali Semangat (HIMNAS) Foundation is an institution that provides scholarship programs for both outstanding and underprivileged students. However, the scholarship registration and selection process at HIMNAS is still conducted manually, leading to inefficiencies and data inaccuracies. This study aims to design and develop a web-based scholarship information system to facilitate the registration, selection, and recommendation of scholarship candidates. The research employs the Waterfall software development model, which includes stages such as requirements analysis, system design, implementation, testing, and maintenance. The result is a web-based information system that allows scholarship candidates to register online, upload documents, and track their verification status. Additionally, the system assists administrators in managing applicant data, conducting verification, and generating reports more quickly and accurately. The implementation of this system is expected to make the scholarship selection process at HIMNAS more transparent, efficient, and accessible. Keywords: Scholarship Information System, Scholarship Recommendation, Web, HIMNAS, Waterfall