Application of Market Basket Analysis on Beauty Clinic to Increasing Customer’s Buying Decision


  • Rafi Dio Institut Teknologi Batam, Batam, Indonesia
  • Aulia Agung Dermawan Institut Teknologi Batam
  • Dimas Akmarul Putera Institut Teknologi Batam, Batam, Indonesia




Rapid Miner, FP-Growth, Association Rule, Market Basket Analysis, Promotion, Clinic


Beauty care and the need for cosmetics have become the lifestyle of modern women, especially in big cities. Public awareness to look beautiful makes modern women competing to take care of themselves to be more beautiful. The body care industry in Indonesia continues to grow. The growth has reached 6% and is predicted to continue to grow along with the high concern of Indonesian women in caring for their skin. To win the competition, companies need to know the market and consumer situation. One strategy that can be applied by the company is to use a promotional or advertising strategy. This research was conducted at the Ariana Audy beauty clinic in 2022 with the aim of identifying customer buying patterns which will then be used as reference material in the development of promotional menus for products and services offered by the beauty clinic. The approach used to design components on the promotional menu is Market Basket Analysis by applying the fp-growth algorithm using rapid miner software. Market basket analysis is focused on finding relationships between products based on customer purchases. The market basket analysis conducted resulted in 5 association rules that define consumer purchasing patterns for products and services provided by the Ariana Audy clinic. Through the 5 association rules formed, 3 promotional menus were produced, namely menu 1 consisting of baby skin crystal and oxy blue cream, menu 2 consisting of brightening cream products and sunscreen brightening, and menu 3 consisting of oxy jet peel and photodynamic therapy.

GS Cited Analysis


Download data is not yet available.


Artsitella, C. R., Apriliani, A. R., & Ashari, S. (2021). Penerapan Association Rules - Market Basket Analysis untuk Mencari Frequent Itemset dengan Algoritma FP-Growth. JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI, 6(2), 61.

Halim, S., Octavia, T., & Alianto, C. (2019). Designing facility layout of an amusement arcade using market basket analysis. Procedia Computer Science, 161, 623–629.

Handoyo, S., Suharman, H., Ghani, E. K., & Soedarsono, S. (2023). A business strategy, operational efficiency, ownership structure, and manufacturing performance: The moderating role of market uncertainty and competition intensity and its implication on open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100039.

Hermina, C. I. (2022). Market basket analysis for a supermarket. International Journal of Management, Technology And Engineering, 12(11), 106–113.

Kaur, M., & Kang, S. (2016). Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining. Procedia Computer Science, 85, 78–85.

Leote, P., Cajaiba, R. L., Cabral, J. A., Brescovit, A. D., & Santos, M. (2020). Are data-mining techniques useful for selecting ecological indicators in biodiverse regions? Bridges between market basket analysis and indicator value analysis from a case study in the neotropics. Ecological Indicators, 109(September 2019), 105833.

Putera, D. A. (2021). Pengendalian Persediaan Beras Menggunakan Pendekatan Sistem Dinamis Di Perum Bulog Divre Sumut [Universitas Sumatera Utara]. In Post Graduate Tesis.

Putra, E., Kumadji, S., & Yulianto, E. (2016). PENGARUH DISKON TERHADAP MINAT BELI SERTA DAMPAKNYA PADA KEPUTUSAN PEMBELIAN (Study pada konsumen yang membeli produk diskon di Matahari Department Store Pasar Besar Malang). Jurnal Administrasi Bisnis S1 Universitas Brawijaya, 38(2), 184–193.

Ratna Sari Rahayu, O. O. S. (2019). Analisis Customer Value Index Dalam Memilih Klinik Kecantikan Di Indonesia Customer Value Index Analysis in Choose Beauty Clinic in Indonesia. E-Proceeding of Management, 6(1), 48–55.

Tatiana, K., & Mikhail, M. (2018). Market basket analysis of heterogeneous data sources for recommendation system improvement. Procedia Computer Science, 136, 246–254.

Vyas, V., & Uma, V. (2018). An Extensive study of Sentiment Analysis tools and Binary Classification of tweets using Rapid Miner. Procedia Computer Science, 125, 329–335.

Wibowo, N., & Pandu, A. (2013). Perancangan Interior Klinik Kecantikan Berbasis Eco-Design di Surabaya. Jurnal Intra, 1(2), 1–8.


Crossmark Updates

How to Cite

Dio, R. . ., Dermawan, A. A., & Putera, D. A. . (2023). Application of Market Basket Analysis on Beauty Clinic to Increasing Customer’s Buying Decision. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1348-1356.