Comparison Analysis Of Bubble Sort And Insertion Sort Algorithm On The Selection Of A Shop According To The Criteria
Abstract
In choosing a place to open a business was very important and must be considered. One of the suitable places to open a business was a kiosk. This study aimed to facilitate the public in determining the location of the sales kiosk. This was motivated by the limitations and speed in accessing information about the location of the kiosk. In this study, there was a process system for comparing execution time analysis using the Bubble Sort and Insertion Sort algorithms based on the criteria that had been provided. There were criteria that could be selected by users, including the location of the sales kiosk, the area and the available kiosk rental price per year. So that this research system could overcome community problems in terms of limitations and the speed of accessing information that was less efficient about the location of the sales kiosk. After the implementation and analysis of execution time on sales kiosk data as many as 10 places in the C++ programming language using Codeblocks, the results obtained were the use of the Insertion Short algorithm, the use of the Insertion Sort algorithm was more effective in sorting the kiosk places according to the criteria provided.
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Sunandar, E. (2019). Perbandingan metode selection sort dan insertion sort dalam pengurutan data menggunakan bahasa program java. PETIR (Jurnal Pengkajian dan Penerapan Teknik Informatika), 12(2), 172–178.
Sitepu, R. R., Yusman, M., dan Febriansyah, F. E. (2017). Implementasi algoritma bubble sort dan selection sort menggunakan arraylist multidimensi pada pengurutan data multi prioritas. Jurnal Komputasi, 5(1), 81-87.
Vakulenko, Y., Oghazi, P., and Hellström, D. (2019). Innovative framework for self-service kiosks: Integrating customer value knowledge. Journal of Innovation and Knowledge, 4(4), 262-268.
Saputra, D. Y. R., Andryana, S., dan Sholihati, I. D. (2021). Analisis perbandingan algoritma bubble sort dan selection sort pada sistem pendukung keputusan pemilihan tempat kost berbasis IOS (iphone operating system). JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 6(2), 318-324.
Anggreani, D., Wibawa, A. P., Purnawansyah, P., dan Herman, H. (2020). Perbandingan efisiensi algoritma sorting dalam penggunaan bandwidth. ILKOM Jurnal Ilmiah, 12(2), 96-103.
Rahayuningsih, P. A. (2016). Analisis perbandingan kompleksitas algoritma pengurutan nilai (sorting). EVOLUSI: Jurnal Sains dan Manajemen, 4(2), 1-12.
Gunawan, I., Sumarno, S., dan Tambunan, H. S. (2019). Penggunaan algoritma sorting bubble sort untuk penentuan nilai prestasi siswa. Sistemasi, 8(2), 296-304.
Umar, M. F., Munir, E. U., Shad, S. A., and Nisar, M. W. (2014). Enhancement of selection, bubble and insertion sorting algorithm. Research Journal of Applied Sciences, Engineering and Technology, 8(2), 263-271.
Kardono, S. S. (2016). Arsitektur e-kios di Surabaya. Jurnal Komunika: Jurnal Komunikasi, Media dan Informatika, 5(1), 37-44.
Hariri, R. H., Fredericks, E. M., and Bowers, K. M. (2019). Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data, 6(1), 1-16.
Jouin, M., Gouriveau, R., Hissel, D., Péra, M. C., and Zerhouni, N. (2016). Particle filter-based prognostics: review, discussion and perspectives. Mechanical Systems and Signal Processing, 72(1), 2-31.
Tan, Z., Li, H., and He, X. (2021). Optimizing parcel sorting process of vertical sorting system in e-commerce warehouse. Advanced Engineering Informatics, 48(1), 101-279.
Maramba, I. D., Jones, R., Austin, D., Edwards, K., Meinert, E., and Chatterjee, A. (2022). The role of health kiosks: scoping review. JMIR Medical Informatics, 10(3), 1-21.
Fan, M., Ammah, V., Dakhan, S. A., Liu, R., Mingle, M. N., and Pu, Z. (2021). Critical factors of reacquainting consumer trust in e-commerce. The Journal of Asian Finance, Economics and Business, 8(3), 561-573.
Kusumasari, B., and Alam, Q. (2012). Bridging the gaps: the role of local government capability and the management of a natural disaster in Bantul, Indonesia. Natural Hazards, 60(1), 761-779.
Maalaoui, A., Ratten, V., Heilbrunn, S., Brannback, M., and Kraus, S. (2020). Disadvantage entrepreneurship: decoding a new area of research. European Management Review, 17(3), 663-668.
Friess, E., and Boettger, R. K. (2021). Identifying commonalities and divergences between technical communication scholarly and trade publications (1996–2017). Journal of Business and Technical Communication, 35(4), 407-432.
Chin, J. T. (2020). Location choice of new business establishments: understanding the local context and neighborhood conditions in the United States. Sustainability, 12(2), 1-17.
Kimelberg, S. M., and Williams, E. (2013). Evaluating the importance of business location factors: the influence of facility type. Growth and Change, 44(1), 92-117.
Choi, J. O., Chen, X. B., and Kim, T. W. (2019). Opportunities and challenges of modular methods in dense urban environment. International Journal of Construction Management, 19(2), 93-105.
DOI: https://doi.org/10.17509/coelite.v2i1.57091
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