Utilizing ANOVA to Evaluate Creative Economy Product Marketing: Insights from the School Data Board

Authors

  • Dwi Herinanto
  • Gustop Amatiria Universitas Bandar Lampung
  • Yenny Marthalena Universitas Bandar Lampung
  • Ardansyah Ardansyah Universitas Bandar Lampung
  • Ida Farida Universitas Bandar Lampung

Keywords:

forecasting; anova; strategies; marketing; creative economy

Abstract

  1. Samudra Karya Sejahtera is the sole entity in the Pringsewu Regency, Lampung Province, specializing in convection and printing, and also serves as a distributor of school data boards for various educational levels. This study aims to employ analysis of variance (ANOVA), forecasting analysis, and multiple regression analysis to assist CV. SKS in sales planning, inventory management, resource allocation, and strategic decision-making. Conducted from January 10 to February 10, 2024, this quantitative research evaluates the relationships between variables, tests hypotheses, and generates generalizations using primary data obtained from the company. The ANOVA results indicate that sales performance across the marketing areas of Pringsewu, Pesawaran, Tanggamus, and Lampung Tengah is uniformly profitable. Regression analysis reveals that the price variable does not significantly impact sales of creative economy products. However, both price and promotional cost variables together explain 88.1% of the variance in school data board sales. The multiple regression model is expressed as , where X1 represents the price and X2 denotes promotional costs. Forecasting using the model predicts a sales volume of 639 units for 2024.

References

Barusman, M. Y. S., & Ferdinan, F. (2019). Sales Structure Strategy in Bumiputera Muda LLC 1967 General Insurance Branch Lampung, Indonesia. Journal of Marketing and Consumer Research, 54, 88–96. https://doi.org/10.7176/JMCR

Beheshti-Kashi, S., Karimi, H. R., Thoben, K.-D., Lütjen, M., & Teucke, M. (2015). A survey on retail sales forecasting and prediction in fashion markets. Systems Science & Control Engineering, 3(1), 154–161. https://doi.org/10.1080/21642583.2014.999389

Bujor, A., & Avsilcai, S. (2016). Modern technologies and business performance in creative industries: a framework of analysis. IOP Conference Series: Materials Science and Engineering, 145(6), 062001. https://doi.org/10.1088/1757-899X/145/6/062001

Diawara, N., Ferguson, S., Grant, M., & Das, K. (2021). Novel statistical analysis in the context of a comprehensive needs assessment for secondary stem recruitment. Computation, 9(10). https://doi.org/10.3390/computation9100105

Fatkhurahman, Hadiyati, & Suroto, B. (2020). Creativity and Opportunity on Traditional Food Products: Business quality in competitive environment. IOP Conference Series: Earth and Environmental Science, 469(1), 012066. https://doi.org/10.1088/1755-1315/469/1/012066

Habiburrahman, H., Prasetyo, A., Raharjo, T. W., Rinawati, H. S., Trisnani, Eko, B. R., Wahyudiyono, Wulandari, S. N., Fahlevi, M., Aljuaid, M., & Heidler, P. (2022). Determination of Critical Factors for Success in Business Incubators and Startups in East Java. Sustainability (Switzerland), 14(21), 1–17. https://doi.org/10.3390/su142114243

Hidayat, A. R. R. T., & Asmara, A. Y. (2017). Creative industry in supporting economy growth in Indonesia: Perspective of regional innovation system. IOP Conference Series: Earth and Environmental Science, 70(1), 012031. https://doi.org/10.1088/1755-1315/70/1/012031

Hilmi, H., Puspitawati, L., & Utari, R. (2020). Pengaruh Kompetisi, Pertumbuhan Laba dan Kinerja Lingkungan terhadap Pengungkapan Informasi Emisi Karbon pada Perusahaan. Owner : Riset Dan Jurnal Akuntansi, 4(2), 296–307. https://doi.org/https://doi.org/10.33395/owner.v4i2.232

Khoo, S. L., & Badarulzaman, N. (2014). Factors Determining George Town as a City of Gastronomy. Tourism Planning & Development, 11(4), 371–386. https://doi.org/10.1080/21568316.2013.874365

Kwon, S.-H., & Kim, J. (2014). The cultural industry policies of the Korean government and the Korean Wave. International Journal of Cultural Policy, 20(4), 422–439. https://doi.org/10.1080/10286632.2013.829052

Lee, S.-M., & Ungson, G. R. (2008). Towards a theory of synchronous technological assimilation: The case of Korea’s Internet economy. Journal of World Business, 43(3), 274–289. https://doi.org/https://doi.org/10.1016/j.jwb.2008.03.009

Lin, A. C. H. (2023). Emerging Key Elements of a Business Model for Sustaining the Cultural and Creative Industries in the Post-Pandemic Era. Sustainability (Switzerland), 15(11). https://doi.org/10.3390/su15118903

Liu, F., Hu, L., & Gan, J. (2013). A study on the learning style preferences with different academic backgrounds-taking Tujia EFL learners as examples. Theory and Practice in Language Studies, 3(1), 100–107. https://doi.org/10.4304/tpls.3.1.100-107

Liu, N., Ren, S., Choi, T.-M., Hui, C.-L., & Ng, S.-F. (2013). Sales Forecasting for Fashion Retailing Service Industry: A Review. Mathematical Problems in Engineering, 2013(1), 738675. https://doi.org/https://doi.org/10.1155/2013/738675

Markusen, A., Wassall, G. H., DeNatale, D., & Cohen, R. (2008). Defining the Creative Economy: Industry and Occupational Approaches. Economic Development Quarterly, 22(1), 24–45. https://doi.org/10.1177/0891242407311862

Mertler, C. A. (2020). Quantitative Methodology in Adolescent Research. In The Encyclopedia of Child and Adolescent Development (pp. 1–14). https://doi.org/https://doi.org/10.1002/9781119171492.wecad313

Müller, K., Rammer, C., & Trüby, J. (2009). The role of creative industries in industrial innovation. Innovation, 11(2), 148–168. https://doi.org/10.5172/impp.11.2.148

Nenni, M. E., Giustiniano, L., & Pirolo, L. (2013). Demand Forecasting in the Fashion Industry: A Review. International Journal of Engineering Business Management, 5, 37. https://doi.org/10.5772/56840

Nugroho, P. (2018). A Socio-spatial Dimension of Local Creative Industry Development in Semarang and Kudus Batik Clusters. IOP Conference Series: Earth and Environmental Science, 123(1), 012040. https://doi.org/10.1088/1755-1315/123/1/012040

Pai, P.-F., Hong, L.-C., & Lin, K.-P. (2018). Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model. Computational Intelligence and Neuroscience, 2018(1), 6305246. https://doi.org/https://doi.org/10.1155/2018/6305246

Panjaitan, R. L. (2018). Choosing appropriate independent variable in educational experimental research: some errors debunked. Journal of Physics: Conference Series, 983(1), 012133. https://doi.org/10.1088/1742-6596/983/1/012133

Prasetyawan, Y., Suef, M., Supriyanto, H., & Wardani, I. O. K. (2019). Empowering product development through creative culinary house design. IOP Conference Series: Materials Science and Engineering, 528(1), 012025. https://doi.org/10.1088/1757-899X/528/1/012025

Saleh, R. (2022). Creative Economy Development Toward Stability of National Economy (Indonesia). Journal Research of Social, Science, Economics, and Management, 1(7), 809–817. https://doi.org/10.36418/jrssem.v1i7.110

Sidauruk, R., Apriani, T., & Hamudy, M. (2019). Achievement, Obstacles, and Challenges in the Development of Creative Economy’s Best Product in the City of Bandung and Badung District. Jurnal Bina Praja, 87–97. https://doi.org/10.21787/jbp.11.2019.87-97

Sung, T. K. (2015). Application of information technology in creative economy: Manufacturing vs. creative industries. Technological Forecasting and Social Change, 96, 111–120. https://doi.org/https://doi.org/10.1016/j.techfore.2015.04.002

Thomassey, S. (2010). Sales forecasts in clothing industry: The key success factor of the supply chain management. International Journal of Production Economics, 128(2), 470–483. https://doi.org/https://doi.org/10.1016/j.ijpe.2010.07.018

Varotsis, N. (2022). Digital Entrepreneurship and Creative Industries in Tourism: A Research Agenda. In Economies (Vol. 10, Number 7). MDPI. https://doi.org/10.3390/economies10070167

Wu, W., & Little, T. D. (2011). Quantitative Research Methods. In B. B. Brown & M. J. Prinstein (Eds.), Encyclopedia of Adolescence (pp. 287–297). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-12-373951-3.00034-X

Zevaya, F., Putri, R., Asrori, K., Fitria, M., Asfahani, F. R., & Afrianita, S. (2022). A Portrait of the Creative Economy Sub-Sector in the Growth Triangle Area. International Journal of Asian Social Science, 12(12), 520–529. https://doi.org/10.55493/5007.v12i12.4688

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Published

2024-08-16

How to Cite

Herinanto, D., Amatiria, G., Marthalena, Y., Ardansyah, A., & Farida, I. (2024). Utilizing ANOVA to Evaluate Creative Economy Product Marketing: Insights from the School Data Board. Proceeding ICEBFG, 5(1), 37–51. Retrieved from http://proceedingconference.ubl.ac.id/index.php/icebfg/article/view/88