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Nuril Lutvi Azizah
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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APPLICATION OF DATA MINING TO PREDICT DISTRO CLOTHING SALES USING THE K-MEANS CLUSTERING METHOD Shafa Arrizqa Az Zahroh; Nuril Lutvi Azizah; Novia Ariyanti; Irwan Alnarus Kautsar
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 12 (2025): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v2i12.1554

Abstract

Objective: The research aims to classify distro clothing products at Aldi Store according to sales levels to support more effective inventory and marketing strategies. Method: Data processing was conducted using Google Colaboratory, applying the K-Means Clustering algorithm combined with evaluation metrics including the Silhouette Coefficient, Calinski-Harabasz Index, and Davies-Bouldin Index to determine the optimal cluster structure. Results: The analysis shows that K-Means successfully groups sales patterns with strong cluster performance, indicated by a Silhouette Coefficient of 0.576, a Calinski-Harabasz Index of 19.125, and a Davies-Bouldin Index of 0.308, reflecting high cohesion and clear separation among clusters. Novelty: This study integrates multiple validity indices within a practical retail context, demonstrating a robust clustering approach that enhances customer segmentation accuracy and provides actionable insights for strategic decision-making in product management.
E-COMMERCE APPLICATIONS IN INCREASING CONSUMER ACCESS TO MUSLIM BOUTIQUE PRODUCTS USING THE WATERFALL METHOD Moch Irwan Al Khafid; Nuril Lutvi Azizah; Yulian Findawati; Ade Eviyanti
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 12 (2025): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v2i12.1555

Abstract

Objective: The research aims to develop an e-commerce application that enhances customer access to boutique fashion items through an efficient and user-friendly digital platform. Method: The system was designed using the Waterfall development model, supported by analytical tools such as flowcharts, entity relationship diagrams, and data flow diagrams, while MySQL was employed as the database structure. Results: The implementation of the web-based e-commerce application enabled customers to easily browse updated product information, select clothing models remotely, and complete transactions seamlessly. User feedback indicated high satisfaction, with 85% of respondents reporting that shopping became more convenient and enjoyable. Novelty: This study offers a focused digital solution tailored specifically for Muslim boutique SMEs, demonstrating how structured system design and web-based technologies can strengthen business competitiveness and expand market reach through accessible and culturally attuned e-commerce services.
Co-Authors Abdiansah, Lutfi Achmad Alfian Fajriansyah Ade Eviyanti Adham Novalas Putra Wibisono Aditya, M. Fahrul Rizki Afandi, Muchammad Arif Afnizar Maulana Asiddiq Agung Bakti Agung Khoirudzikri Agung Prihandono Akhmad Jazuli Al Faris Alam, Mukhammad Nur Bakhrul Alfan Indra Kusuma Alidza Septia Wulansari Alidza Septia Wulansari Amir, Mohammad Faisal Ananda Dwi Prasetyo Annasdyto Virlib Aprillio Arif Senja Fitrani Arif Senja Fitrani Arik Bagus Setyawan Ary Putranto Atik Wahyuni Atmaranti, Julia Awawin Mustana Rohmah Ayu Setya Ningrum Bayu Hari Prasojo Cau Kim Jiu Cau Kim Jiu Cecep Kusmana Chylen Setiyo Rini Cindy Cahyaning Astuti Cindy Taurusta Cornelius, Cornelius Dewa, Suma Bayunda Amartya Diba, Naila Farah Dinita Rahmalia, Dinita Eka Fatra Arif Hidayatullah Eka nugraha saktifany wicaksana Eko Agus Suprayitno Erina Firdaus Dwi Rachmattillah Erlina Agustin Erma Puspita Faizah A, Nadtasya Fajar, Mochamad Fatahillah Aji Maulana Fatona Kholifatun Nisa' Febrina Shanti Nurrachma Ferry Adhi Dharma Fida Maisa Hana Fina Rahma Dewi Fitri Nur Latifah Fitria Nur Hasanah Fuad Azis Muslim Gita Wardani Gita Wardani Hamzah Setiawan Handayani, Nana Nur Dwi Handoko Irawan Handoko Irawan Hanif As Shoqri Hartatik, Nurul Hendri Hermawan Hendri Hermawan Hendri Hermawan Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayah, Firmansyah Nur Hindarto Ika Ratna Indra Astutik Ika Ratna Indra Astutik Imam Prayogo Pujiono Irene Elvariani Dewanti Irwan A. Kautsar Irwan Alnarus Kaustar Irwan Alnarus Kaustar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Irwan Alnaurus Kautsar Ivan Khasani Javier, Gomes Noor Julia Atmaranti Julia Atmaranti Kholifah, Rizka Nur Kusuma, Alfan Indra Lailil S, Masyitah Luqmanul Hakiym Maulana M. Arif Mansur Mahendra, Moch. Fauzi Raja MARIA BINTANG Marshanda Al Izza Putra Sudiono Masyitah Lailil Syafitri Masyitah Lailil Syafitri Metatia Intan Mauliana Metatia Intan Mauliana Moch Gesang Akbar Jani Moch Irwan Al Khafid Mochamad Alfan Rosid Mohammad Doni Ferdiansah SM Mohammad Fikri Setiawan Mohammad Ikbaar Ath Thoriq Mohammad Suryawinata Muhammad Alvin Azzamul Azmi Muhammad Alvin Azzamul Azmi Muhammad Arshiel Naufal Dzaki Muhammad Iqbal Al Mulki Muhammad Khoirur Roziqin Muhammad Najih Fairuzzamani Muhammad Rozzaq Muqorrobin, Dawam Nadtasya Faizah Aqilah Nadtasya Faizah Aqilah Nahriyan Zidan Bahar Rizqi Naila Adiba Naila Farah Diba Nihayatur Rohmah Novia Ariyanti Octavia, Elga Okyk Fauzi Yudha Permana Pratama, Kharisma Putra, Fariq Abdillah Maulana Rahmat Syahrur Ramadhan Ratih Sri Yunarti Rohman Dijaya Saesar Joko Pramono Salsabil, Muhammad Shafa Arrizqa Az Zahroh Sholihuddin, Ahmad Ahyar Steven Owen Purnawan Suhendro Busono Sukma Aji Sumadyo, Sasmito Bagus Sumarno Sumarno , Sumarno Sumarno . Sumarno Sumarno Sumarno Sumarno Suprianto Taufiki Ma'rufan Tri Linggo Wati Uce Indahyanti Veros Ariferdinand Vevy Liansari Vevy Liansari Vini Rahmawati Wardani, Gita Wuriani Wuriani Wuriani, Wuriani Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati