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All Journal Jurnal Ekonomi Bisnis Indonesia Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Journal of Community Service Publikasi Hasil Pengabdian Kepada Masyarakat. MDP Student Conference Ekasakti Matua Jurnal Manajemen Ekasakti Pareso Jurnal Akuntansi Journal Of Artificial Intelligence And Software Engineering JUKEJ: Jurnal Kesehatan Jompa Calakan: Jurnal Sastra, Bahasa, dan Budaya
Yulistia, Yulistia
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : MDP Student Conference

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Penerapan Data Mining Untuk Rekomendasi Paket Produk Menggunakan Algoritma Apriori dan Algoritma FP-Growth Nevile, Steven; Yulistia, Yulistia
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10933

Abstract

This research utilizes data mining with the Apriori and FP-Growth algorithms to generate product package recommendations for Planty Burger based on sales transaction data. Through data mining-based analysis, Planty Burger can identify consumer preference patterns and provide more relevant recommendations. The research methodology includes Data Collection, Data Preprocessing, Algorithm Implementation, Analysis and Result Evaluation, and Software Development. The use of both algorithms allows for a comparison of results to ensure the validity of the identified patterns. Based on the analysis, it can be concluded that if a customer purchases Matcha Greentea, there is a high probability (75% confidence) that they will also purchase a BBQ Steak Burger. The analysis results are expected to enhance customer satisfaction and sales by providing appropriate product package recommendations.
Strategi Digitalisasi Rekrutmen Pegawai di Charitas Hospital Kenten Melalui Pengembangan Aplikasi Ramadhan, Dimaz Gymnastiar; Hermaya, Nickholas Hansel; Yulistia, Yulistia
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11010

Abstract

One of the tools for submitting applications that is often used by companies is through email in the recruitment or selection process of employees. This causes difficulties for the HR department in managing digital files that often need to be reprinted for evaluation purposes. Therefore, it is necessary to develop a web-based recruitment and selection application for Charitas Hospital Kenten to improve the efficiency and effectiveness of the recruitment process. The application development method used is the Waterfall method, which includes the stages of software requirements analysis, design, implementation, and testing. The result of this research is an information system that assists in managing digital documents and enhances the efficiency of the recruitment process at Charitas Hospital Kenten .
Co-Authors Agus Sutardjo Ahmad Hasan Yani Aprilia, Lala Arfi, Nadila Asep Munajat Augie, Peter Bakkareng, Bakkareng Brilliansyah, Eko Budiman, Jessica Valencia Putri Candra, Benny Dafid Dafid Danyl Mallisza Dea Lewiska, Hara Dien Novita Dina Adawiyah Dorie P. Kesuma Elnawati, Elnawati Emil Riza Putra Ernawati, Elnawati Graciella, Fiolin Meldy Hadiyana Ahmad, Laila Hendra Lukito Hermaya, Nickholas Hansel Husin, Nor Azilah Inayatullah, Inayatullah Jhon Rinaldo Johannes Petrus Lisa Amelia Marda Hayati, Reffi Maslinawati, Maslinawati Mitra Mitra Muryanto, Irwan Nanda, Nesa Putri Nevile, Steven Novi Yanti Nurrohmah, Anyi Ramadhan, Dimaz Gymnastiar Rice Haryati Rizka Hadya Salfadri, Salfadri Setiawan, Boby Teti Chandrayanti Wahyu Sudrajat Wang, Cyndi Claudia Widiani Putri, Syafda Wiwik Handayani