Segmentasi Penerapan Harga Produk Kacamata Berdasarkan Segmentasi Pasar di Optik YAR Padang

Authors

  • Fadjar Adhiyaksa Universitas Putra Indonesia YPTK Padang
  • Jihan Atifa Universitas Putra Indonesia YPTK Padang
  • Yuliana Fransiska Universitas Putra Indonesia YPTK Padang
  • Vivi Nila Sari Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.62383/bersama.v2i3.1862

Keywords:

Eyeglasses, Market Segmentation, Marketing Strategy, Pricing, YAR-Padang Optics

Abstract

Effective pricing is a key factor in enhancing competitiveness and customer satisfaction in the optical industry. This study aims to analyze the pricing strategy of eyeglass products based on market segmentation at Optik YAR Padang. Market segmentation was conducted by grouping consumers according to demographic, psychographic, and purchasing behavior characteristics. The research employed a quantitative approach using survey questionnaires distributed to customers, and the data were analyzed using cross-tabulation and chi-square tests. The results show significant differences in price preferences among various market segments, particularly based on age, income level, and the purpose of eyeglass use (fashion or vision correction). The findings recommend that Optik YAR implement differentiated pricing strategies tailored to each target segment, such as economic pricing for students and premium pricing for professionals. By applying segmentation-based pricing strategies, the company can improve customer loyalty and sales efficiency.

References

Alamsyah, A., & Saviera, F. (2021). A comparison of Indonesia e-commerce sentiment analysis for marketing intelligence effort. arXiv. https://arxiv.org/abs/2106.15544

Augias, V., Ghersengorin, A., & Barreto, D. M. A. (2024). Redistribution through market segmentation. arXiv. https://arxiv.org/abs/2401.12666

Bariki, T., Prabowo, F. S. A., & Hidayatullah, D. S. (2020). Segmentation of traditional market shoppers based on store image in Bandung, Indonesia. Jurnal Ilmu Sosial Politik dan Humaniora, 3(1), 42–49.

Bergemann, D., Heumann, T., & Wang, M. C. (2024). Consumer optimal segmentation in multi product markets. arXiv. https://arxiv.org/abs/2402.01347

Christy, A. J., Umamakeswari, A., Priyatharsini, L., & Neyaa, A. (2021). RFM ranking—An effective approach to customer segmentation. Journal of King Saud University – Computer and Information Sciences, 33(10), 1251–1257.

Euromonitor International. (2025). Eyewear in Indonesia – Market value, distribution, consumer trends 2020–2025.

Euromonitor International. (2025). Spectacles in Indonesia – Sales, segmentation, projection 2019–2024.

Holý, V., Sokol, O., & Černý, M. (2024). Clustering retail products based on customer behaviour. arXiv. https://arxiv.org/abs/2403.03608

Johannes, R., & Alamsyah, A. (2021). Sales prediction model using classification decision tree approach for small medium enterprise based on Indonesian e-commerce data. arXiv. https://arxiv.org/abs/2106.15548

Kristanti, B. T., Junaidi, A., & Mandyartha, E. P. (2024). Implementasi K-Means clustering dalam segmentasi pelanggan berdasarkan usia, pendapatan, dan model RFM (Studi kasus: Lantikya Store Jombang). Jurnal Informatika dan Teknik Elektro Terapan, 12(3). https://doi.org/10.23960/jitet.v12i3.4677

Kurniawan, A., & Sunitiyoso, Y. (2024). New business model for sustainable retail company using design thinking concept. arXiv. https://arxiv.org/abs/2402.01153

Novalinda, R., & Suryanta, D. I. (2022). Pengaruh kualitas pelayanan terhadap kepuasan pelanggan Super Optical Padang. Jurnal Ekonomika dan Bisnis (JEBS), 2(1), 411–421. https://doi.org/10.47233/jebs.v2i1.123

Prakarsa, S. (2021). Pengaruh persepsi harga dan kualitas produk terhadap minat beli konsumen di Optic Sun’s. Jurnal Manajemen Bisnis dan Kewirausahaan, 5(1), 1. https://doi.org/10.24912/jmbk.v5i1.10180

Saputra, T. C., Fadhilah, S. M., Mangkuto, S. U., & Heikal, J. (2024). Segmentation, targeting and positioning analysis using K-means clustering model: A case study of the laptop market in Indonesia. International Journal of Applied Finance and Business Studies, 12(2), 195–203.

Statista. (2025). Eyewear market forecast – Indonesia. https://www.statista.com/statistics/1170705/indonesia-eyewear-market-size/

Xu, R., Zhang, X., Cui, P., Li, B., Shen, Z., & Xu, J. (2022). Regulatory instruments for fair personalized pricing. arXiv. https://arxiv.org/abs/2203.08677

Downloads

Published

2025-07-14

How to Cite

Fadjar Adhiyaksa, Jihan Atifa, Yuliana Fransiska, & Vivi Nila Sari. (2025). Segmentasi Penerapan Harga Produk Kacamata Berdasarkan Segmentasi Pasar di Optik YAR Padang. Kesejahteraan Bersama : Jurnal Pengabdian Dan Keberlanjutan Masyarakat, 2(3), 121–126. https://doi.org/10.62383/bersama.v2i3.1862

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.