How to cite (IEEE): N. Setiyawati, D. Bangkalang, & H. Purnomo "Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering," JOIV : International Journal on Informatics Visualization, vol. 7, no. 3, , pp. 871-877, Sep. 2023. https://doi.org/10.30630/joiv.7.3.1053

How to cite (APA): Setiyawati, N., Bangkalang, D., & Purnomo, H. (2023). Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering. JOIV : International Journal on Informatics Visualization, 7(3), 871-877. https://doi.org/10.30630/joiv.7.3.1053

How to cite (Chicago): Setiyawati, Nina, Bangkalang, Dwi, AND Purnomo, Hindriyanto. "Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering" JOIV : International Journal on Informatics Visualization [Online], Volume 7 Number 3 (10 September 2023) https://doi.org/10.30630/joiv.7.3.1053

How to cite (Vancouver): Setiyawati N, Bangkalang D, & Purnomo H . Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering. JOIV : International Journal on Informatics Visualization [Online]. 2023 Sep; 7(3):871-877. https://doi.org/10.30630/joiv.7.3.1053

How to cite (Harvard): Setiyawati, N., Bangkalang, D., & Purnomo, H. ,2023. Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering. JOIV : International Journal on Informatics Visualization, [Online] 7(3), pp. 871-877. https://doi.org/10.30630/joiv.7.3.1053

How to cite (MLA8): Setiyawati, Nina, Dwi Hosanna Bangkalang, & Hindriyanto Dwi Purnomo. "Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering." JOIV : International Journal on Informatics Visualization [Online], 7.3 (2023): 871-877. Web. 2 Oct. 2023 , https://doi.org/10.30630/joiv.7.3.1053

BibTex Citation Data :

@article{JOIV1053,
    	author = {Nina Setiyawati and Dwi Bangkalang and Hindriyanto Purnomo},
    	title = {Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering},
    	journal = {JOIV : International Journal on Informatics Visualization},
    	volume = {7},
    	number = {3},
    	year = {2023},
    	keywords = {Menu engineering; K-Means; K-Means++; Singular Value Decomposition Davies-Bouldin Index; SME; Cluster},
    	abstract = {The menu is one of the most fundamental aspects of business continuity in the culinary industry. One of the tools that can be used for menu analysis is menu engineering. Menu engineering is an analytical tool that assists restaurants, companies, and small and medium-sized enterprises (SMEs) in assessing and making decisions on marketing strategies, menu design, and sales so that it can produce maximum profit. In this study, several menu engineering models were proposed, and the performance of these models was analyzed. This study used a dataset from the Point of Sales (POS) application in an SME engaged in the culinary field. This research consists of three stages. First, pre-processing the data, comparing the models, and evaluating the models using the Davies Bouldin index. At the model comparison stage, four models are being compared: K-Means, K-Means++, K-Means using Singular Value Decomposition (SVD), and K-Means++ using SVD. SVD is used in the dataset transformation process. K-Means and K-Means++ algorithms are used for grouping menu items. The experiments show that the K-Means++ model with SVD produced the most optimal cluster in this research. The model produced an average cluster distance value of 0.002; the smallest Davies-Bouldin Index (DBI) value is 0.141. Therefore, using the K-Means++ model with SVD in menu engineering analysis produces clusters containing menu items with high similarity and significant distance between groups. The results obtained from the proposed model can be used as a basis for strategic decision-making of managing price, marketing strategy, etc., for SMEs, especially in the culinary business.},
        	issn = {2549-9904},    	pages = {871--877},    	doi = {10.30630/joiv.7.3.1053},
        	url = {https://joiv.org/index.php/joiv/article/view/1053}
    }
    

Refworks Citation Data :

@article{{JOIV}{1053}, author = {Setiyawati, N., Bangkalang, D., Purnomo, H.}, title = {Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {3}, year = {2023}, doi = {10.30630/joiv.7.3.1053}, url = {} }