STRATEGI PENJUALAN PEDAGANG PASAR MODERN BERBASIS CUSTOME DATA MINING

Hastuti Naibaho, Yohanes Totok Suyoto, Dion Dewa Barata

Abstract


Abstract. Business competition between merchant in the modern market which is is getting tighter needs effective marketing strategies. An effective sales strategy can be arranged based on the knowledge of consumers. The increasingly competitive business environment that causes businesses must continue to provide the best service to customers for the development and success of trading businesses in the present and who will date. This problem can be addressed properly if you have accurate information about customers. Accurate information about these consumers can be obtained through customer data collection methods that is called customer data mining. Customer data mining is a method of finding consumer data which includes various kinds of aspects ranging from characteristics to the way consumers purchase. Using the instrument questionnaire, this research is a consumer survey. This paper is a brief report on the results of consumer data excavation, analysis of the results of statistical data based on the results of consumer data processing, and formulation of recommendations regarding promotion and sales strategies for merchant in the modern market

Abstrak. Persaingan bisnis antar pedagang yang semakin ketat menuntut pedagang manciptakan strategi penjualan yang efektif. Strategi penjualan yang efektif dapat disusun berdasarkan pengetahuan tetang perilaku konsumen. Lingkungan bisnis yang semakin kompetitif menyebabkan pelaku usaha harus terus berupaya memberikan pelayanan terbaik kepada konsumen demi perkembangan dan kelangsungan usaha dagang di masa sekarang dan yang akan dating. Masalah ini dapat diatasi dengan baik jika pedagang mempunyai informasi akurat mengenai perilaku konsumen. Informasi akurat mengenai perilaku konsumen tersebut dapat diperoleh melalui metode pengalian data konsumen (customer data mining). Customer data mining merupakan metode mencari data konsumen yang mencakup berbagai macam aspek mulai dari karakteristik sampai dengan perilaku pembelian yang dilakukan konsumen. Menggunakan instrumen kuesioner, penelitian ini merupakan seuatu survei konsumen. Tulisan ini merupakan merupakan laporan singkat mengenai hasil penggalian data konsumen, analisis hasil data statistik berdasarkan hasil pengolahan data konsumen, dan rumusan rekomendasi mengenai strategi promosi dan penjualan bagi pedagang pasar modern.

 


Keywords


Customer Data Mining; Bundling Product; Sales Strategy; Strategi Penjualan

Full Text:

PDF

References


Arunachalam, D., Kumar, N. (2018). Benefit-based consumer segmentation and performance evaluation of clustering approach: An evidence of data-driven decision-making. Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2018.03.007

Griva, A., Bardaki, C., Pramatari, K., Papakiriakopoulos, D. (2018). Retail business analytics: Customer visit segmentation using market basket data. Expert Syst. Appl. 100, 1–16. https://doi.org/10.1016/j.eswa.2018.01.029

Liao, S., Chen, Y., Hsieh, H. (2011). Mining customer knowledge for direct selling and marketing. Expert Syst. Appl. 38, 6059–6069. https://doi.org/10.1016/j.eswa.2010.11.007

Miguéis, V.L., Camanho, A.S., Falcão e Cunha, J. (2012). Customer data mining for lifestyle segmentation. Expert Syst. Appl. 39, 9359–9366. https://doi.org/10.1016/j.eswa.2012.02.133


Article Metrics

Abstract has been read : 1946 times
PDF file viewed/downloaded: 0 times


DOI: http://doi.org/10.25273/jta.v5i1.4479

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Jurnal Terapan Abdimas

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License
Jurnal Terapan Abdimas by http://e-journal.unipma.ac.id/index.php/jta is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

View Jurnal Terapan Abdimas Stats