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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Implementation of FP-Growth Algorithms for Promo Package Determination in a Scooter Motorcycle Workshop Business I Gusti Ngurah Bagus Picessa Kresna Mandala; I Ketut Adi Purnawan; I Made Agus Dwi Suarjaya
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9499

Abstract

This study applies the FP-Growth algorithm to design bundled promotions for a scooter motorcycle accessory store and workshop in Denpasar, Bali. FP-Growth was chosen for its efficiency in mining frequent itemsets without generating candidate sets. From 23,381 transaction records (January-August 2024), the algorithm identified 16 association rules using a minimum support of 1% and confidence of 50%. These rules were selected based on lift values and product relevance. One notable example is the association between "BAUT TITANIUM GR5 M10 X 60" and "BAUT TITANIUM GR5 M8X50", which had a lift of 47.814, indicating a very strong co-purchase relationship. These high-lift combinations present valuable opportunities for bundling and targeted point-of-sale offers. The algorithm performed efficiently, with a runtime of just 0.1354 seconds and 402.6 MB of memory usage. Bundles based on these associations were presented to customers, and feedback was collected through a Customer Satisfaction (CSAT) survey involving 56 recent buyers. The survey yielded a high CSAT score of 83.93%, demonstrating customer satisfaction with the bundles’ relevance and appeal. These results confirm that FP-Growth can effectively inform promotional strategies by identifying strong product pairings that align with actual purchasing behavior. Strategically promoting such bundles not only enhances customer experience but also encourages multi-item purchases. This data-driven bundling approach is practical and profitable for medium-sized retail businesses, ultimately supporting the goal of increasing the Average Order Value.
Co-Authors A. A. Made Arta Wijaya A.A. Gede Brampramana Putra Adhi Dharma Wibawa, Adhi Dharma Aditya Bhaskara Gde Sang Altry David Purba Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Arik Kurniawati Ayu Wirdiani Clarissa Anindita Desak Made Novita Desy Purnami Singgih Putri Dewa Putu Andre Sanjaya Dwi Rusjayanthi, Dwi Fitri Damayanti G M Arya Sasmita Gede Indra Raditya Martha Gembong Satria Prabowo I Dewa Nym. Nurweda P., I Gede Ferdika Jayusman I Gede Wira Yudha Lesmana I Gusti Ngurah Bagus Picessa Kresna Mandala I ketut Gede Darma Putra I Made Abiyoga Sanjaya I Made Ageng Suyasa I Made Agus Dwi Suarjaya I Made Dony Trisnanjaya I Made Jaya Swastika I Made Saputra Mahardika I Made Sukarsa I Nengah Martha I Nyoman Piarsa I Putu Agung Bayupati I Putu Agus Eka Pratama I Putu Arya Putra Wibawa I Putu Bayupati I Putu Mahendra Pramadhitya I Putu Yudha Ariatmaja I Wayan Ryon Waryanta I Wayan Wendra I Wayan Yoga Wirangga Ida Ayu Sri Diah Sukayanti Imelda Rizky Purba James Kawilarang Joysun Agape Sianturi Kadek Dede Hendra Kusuma Kadek Suar Wibawa Mauridhi Hery Purnomo Muhammad Febrian Rachmadhan Amri Ngurah Padang Adnyana Ni Kadek Rahayu Widya Utami Ni Luh Candra Darmayanti Ni Luh Putri Ari Wedayanti Ni Luh Putu Novi Ambariani Ni Made Ika Marini Mandenni Permana, Yohan Pramana, Made Wahyu Adwitya Putri, Desy Purnami Singgih Putu Ananta Dama Putra Putu Arismawan Jaya Kusuma Putu Wira Buana Putut Rendra Wismawan Riza Afriza Islami Sri Ambar Pratiwi Wahyudi, Muhamad Machrus Ali Wiliem Indy