Article Per Year (5 Year)
p-Index From 2021 - 2026
4.6
P-Index
This Author published in this journals
All Journal JurTI (JURNAL TEKNOLOGI INFORMASI) Query : Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal UNITEK Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Abdimas Bina Bangsa Prosiding Snastikom PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Abdimas Hawari Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Computer and Technology Journal of Computer Science Artificial Intelligence and Communications Jurnal Pengabdian Masyarakat Berdampak
Khairunnisa, Khairunnisa
Universitas Harapan Medan
Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
Pelatihan Desain Kemasan Produk Berbasis Digital Printing untuk UMKM Lokal Kepada GEN-Z Rismayanti Rismayanti; Leni Marlina; Eka Putra; Chairul rizal; Khairunnisa Khairunnisa
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.648

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan generasi muda, khususnya Gen-Z, dalam mendukung pengembangan produk UMKM lokal melalui pelatihan desain berbasis digital printing. Seiring dengan meningkatnya kebutuhan inovasi dan kreativitas dalam industri kreatif, digital printing menjadi salah satu solusi yang mampu menghasilkan produk dengan nilai tambah tinggi, seperti merchandise, kemasan, dan media promosi. Metode pelatihan dilakukan melalui pendekatan partisipatif dengan tahapan sosialisasi, pemberian materi, praktik langsung desain menggunakan perangkat lunak grafis populer, seperti Adobe Photoshop dan CorelDRAW, serta simulasi proses cetak digital. Peserta pelatihan terdiri dari pelaku UMKM muda serta komunitas Gen-Z yang berfokus pada pengembangan usaha kreatif. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peserta dalam merancang desain produk yang sesuai kebutuhan pasar, serta tumbuhnya motivasi untuk berwirausaha berbasis teknologi digital. Dengan demikian, program ini berkontribusi pada peningkatan daya saing UMKM lokal dan membekali Gen-Z dengan kompetensi kreatif yang relevan dengan era digital.
Utilization of Sales Data Analysis for Product Recommendation Systems in E-Commerce Using the Apriori Algorithm Muhammad Noor Hasan Siregar; Furqan Khalidy; Rismayanti; Khairunnisa
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 2 (2024): November 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i2.17

Abstract

The rapid development of e-commerce has significantly increased the volume of sales transactions and customer interaction data. This presents an opportunity for businesses to leverage data mining techniques to extract valuable insights that support decision-making processes. One such application is the development of product recommendation systems, which play a crucial role in enhancing customer satisfaction and driving sales. This research focuses on utilizing sales transaction data to build a product recommendation system using the Apriori algorithm, a well-known method for association rule mining. The study begins with the collection and preprocessing of transaction data from an e-commerce platform. Through the application of the Apriori algorithm, frequent itemsets are identified, and association rules are generated based on specified support and confidence thresholds. These rules reveal purchasing patterns and relationships between products that are frequently bought together. The system then uses these patterns to recommend relevant products to users, aiming to improve cross-selling opportunities and personalize the shopping experience. The results demonstrate that the Apriori-based recommendation model is effective in identifying meaningful product combinations and can be implemented as a lightweight, interpretable alternative to more complex machine learning methods. Furthermore, the system helps e-commerce businesses optimize inventory management and marketing strategies by understanding customer buying behavior. This research concludes that the integration of the Apriori algorithm into recommendation systems provides tangible benefits for e-commerce platforms seeking data-driven personalization solutions.
Co-Authors , Eka Putra Ade Irwan Ade Irwan Ali Sadikin Wear Asih, Munjiat Setiani Bagas Prayoga Chairul Rizal Dafid Kurniawan Dara Adistia Ayuna Dhana Hervia Siregar Dharmawati Dian Alfa Ridho Didik Maulana Fathiyyah Anisah Hasibuan Fera Damayanti Furqan Khalidy Graciella Hutahaean Kharisma Saga Lyrananda Leni Marlina Maria SD. Dairi Muhammad Habibie Muhammad Noor Hasan Siregar Nabila Zahro Nadya Putri Rizkia Nur Wulan Nuranisah Randy Hadinata Rismayanti Rismayanti Rismayanti Rismayanti Rismayanti Rismayanti Robbi Gunawan Rully Alhari Siddiq Alridho Siti Aisyah Rambe Siti Sundari Siti Sundari Siti Sundari Sri Ramadhany Syahputri, Nenna Irsa Vion Age Tricahyo