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Journal : academia open

Application of Data Mining Using the Support Vector Machine (SVM) Method to Analyze Fashion Retail Products to Determine Trends: Penerapan Data Mining Dengan Menggunakan Metode Support Vector Machine (SVM) Untuk Menganalisa Produk Fashion Retail Untuk Menentukan Tren Hamzah Setiawan
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8581

Abstract

This study addresses the escalating volume of research by proposing an efficient research storage system through data mining-based categorization. Employing the Support Vector Machine (SVM) method on a dataset comprising 541,910 retail product purchases, the research achieves a significant 96.2% accuracy in categorization using the cross-entropy loss function. The SVM method proves instrumental in systematically organizing research based on fields, methods, and outcomes, showcasing its efficacy in large-scale research storage and organization. This study highlights the SVM's potential as a vital tool for governments and private organizations to enhance access and utilization of research information. The results underscore the positive impact of SVM in overcoming the complexity of research storage on a broader scale, contributing to the advancement of efficient research management systems. Highlights: Efficient SVM Data Management: Proposes SVM-based data mining for effective research information storage. 96.2% Accuracy in Categorization: SVM with cross entropy achieves high accuracy in classifying research data. Organized Access for Better Utilization: SVM organizes research systematically, enhancing accessibility and utilization for government and private sectors. Keywords: Support Vector Machine, Data Mining, Dataset, Retail.
Co-Authors Abidin, Husnul Achmad isra Ade Eviyanti Adi Putra, Lutfi Adiffanani Ramdansyah Alshaf Pebrianggara Amelia, Paramitha Angga Wibawa Saputra Angga Arief Senja Fitrani Arief Wicaksono, Arief Arif Senja Fitrani Arif Senja Fitriani Arisandi, Ricky Renaldo Asiddiq, Afnizar Maulana Aulia Aliffiandi, Rizca Aziziyah, Ismi Anisa Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Cakra Wirabumi Putra Cindy Taurusta Denny Gunawan Duwi Rahayu Enggi Sabrilla Assara Evi Rinata Firdausi Usqi Salsabila Fuad Azis Muslim Gilang Pralaya Grahita Albarika, Ayu Hari Moerti Hindarto Hindarto Hindarto Hindarto Ika Ratna Ika Ratna Indra Astutik Imanda, Almyra Gitta Intan Nuraini Irwan A. Kautsar Irwan Alnarus Kautsar Jamal Hasan Jefry Fernando Kurnia Ningtiyas Luluk Asti Qomariah M Cholis Afandi M. Alfan Rosyid Moch Bagus Tri Cahyo Moch Ridwan Alwi Moch Ridwan Alwi Mochamad Alfan Rosid Mochamad Surohadi Mochammad Septa Sandy Mohamad Haris Muzadi Muhammad Agung Laksono Muhammad Fikri Muhammad Mursidil Arif Muhammad Saddam Heykal Bustomy Muhammad, Fajar Muhammad, Khithoh Sabda Nanda Fitriana Novia Ariyanti Nur Maslikhatun Nisak Nuril Lutvi Azizah Paramitha Amelia Kusumawardani Pratiwi, Rosa Machmuda Qur'ani, Meisyilia Difanada Rachmat Firdaus Ratih Sri Yunarti Rayhanantha Akbar Putra Prasetyo Ribangun Bamban Jakaria Rina Safitri Riswanto Rizky Budi Aprianto Rizky Rahmahdian Sandy Rohman Dijaya sandy, Mochamad septa Saputra Budianto Putra Sinta Nuriyah, Rizky Siti Cholifah SITI CHOLIFAH Siti Cholifah Steven Gerrard Suhendro Busono Sumarno . Sumarno Sumarno Suprianto Suprianto Suprianto1, Suprianto Triwahono, Handi Uce Indahyanti Vidya Wati Dwi Ramadhani Wildan Arif Hidayatulloh Wiwik Sumarmi Yunianita Rahmawati Yunianita Rahmawati Zulham Efendi, Muhammad