Analysis Of Product Price For Creative Economic Business Yogyakarta Special Region Using Data Scrapping

Astika Ayuningtyas; Yuliani Indrianingsih; Uyuunul Mauidzhoh

doi:10.47709/cnahpc.v5i1.2184

Authors

Astika Ayuningtyas Institut Teknologi Dirgantara Adisutjipto
Yuliani Indrianingsih Institut Teknologi Dirgantara Adisutjipto
Uyuunul Mauidzhoh Institut Teknologi Dirgantara Adisutjipto

DOI:

10.47709/cnahpc.v5i1.2184

Keywords:

Data Visualization, Promotion, Tourism, Web Scrapping

Dimension Badge Record

Abstract

The government in the National Economic Recovery (PEN) launched a strategy to increase business activity, namely by maximizing the potential for product sales through E-Commerce. E-Commerce sites in Indonesia display product information with different descriptions and prices. Through the pages on E-Commerce can collect data to form a useful information. Collection of data variations requires a method or system that can automatically collect the data provided on the Web page. In addition to data collection, another thing that needs to be considered is the meaning of knowledge from the collection of information that has been obtained. For these data to be useful, it is necessary to design a place for data management. Data must be selected and arranged properly so that it is easy to use so that it gives a good meaning. This research requires methods and tools in the process. The method used is Web Scrapping while the tools used are Tableau. There are two objectives in this research. First, obtain product price data for creative economy entrepreneurs in the Special Region of Yogyakarta through E-Commerce, especially Tokopedia and Bukalapak. Second, present product price data visually to facilitate the process of price distribution analysis so that it can provide information to local governments, especially product managers from creative economy business actors to support strategic policies in determining product prices from creative economy business actors in the Special Region of Yogyakarta to support promotion and tourism.

Downloads

Download data is not yet available.

Google Scholar Cite Analysis
Abstract viewed = 190 times

References

Akbar, M. P. R., Ayuningtyas, A., Indrianingsih, Y. (2022). Pemanfaatan Media Komunikasi Visual Sebagai Alat Bantu Promosi Obyek Wisata Menggunakan Metode Markerless Augmented Reality (Studi Kasus: Kampung Baran, Desa Salam, Kap. Patuk Gunungkidul). Seminar Nasional Teknologi Informasi dan Kedirgantaraan, 2021(7). http://dx.doi.org/10.28989/senatik.v7i1.456

Ahmad, K., Maabreh, M., Ghaly, M., Khan, K., Qadir, J., & Al-Fuqaha, A. (2022). Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges. Computer Science Review, 43, 100452.

BPS. (2021). Statistik E-Commerce 2021.

Boldrini, J. C., & Antheaume, N. (2021). Designing and testing a new sustainable business model tool for multi-actor, multi-level, circular, and collaborative contexts. Journal of Cleaner Production, 309, 127209.

Cooksey, R. W., & Cooksey, R. W. (2020). Descriptive statistics for summarising data. Illustrating statistical procedures: Finding meaning in quantitative data, 61-139.

Darmawiguna, I. G. M., Pradnyana, G. A., & Santyadiputra, G. S. (2019, February). The Development of Integrated Bali Tourism Information Portal using Web Scrapping and Clustering Methods. In Journal of Physics: Conference Series(Vol. 1165, No. 1, p. 012010). IOP Publishing.

Dewi, K. K., Solichin, A., Amalia, D. A. R., Wisudawati, T., & Saputro, W. A. (2021, April). The Role of Social Media Instagram and Identification of Factors in The Revisit Intention to Gunung Api Purba Nglanggeran. In Proceeding of International Conference on Science, Health, And Technology(pp. 332-336).

Djufri, M. (2020). Penerapan Teknik Web Scraping Untuk Penggalian Potensi Pajak (Studi Kasus Pada Online Market Place Tokopedia, Shopee Dan Bukalapak). Jurnal BPPK?: Badan Pendidikan Dan Pelatihan Keuangan, 13(2), 65–75. https://doi.org/10.48108/jurnalbppk.v13i2.636

Ginting, K. R., & Pancawati, G. (2021, July). Post-Pandemic National Economic Recovery. In 2nd International Conference on Administration Science 2020 (ICAS 2020) (pp. 25-29). Atlantis Press.

Haden, P. (2019). Descriptive statistics. The Cambridge Handbook of Computing Education Research, 102-132.

Husada, I. N., Fernando, E. H., Sagala, H., Budiman, A. E., & Toba, H. (2020). Ekstraksi dan Analisis Produk di Marketplace Secara Otomatis dengan Memanfaatkan Teknologi Web Crawling. Jurnal Teknik Informatika Dan Sistem Informasi, 5(3), 350–359. https://doi.org/10.28932/jutisi.v5i3.1977

Henrys, K. (2021). Importance of web scraping in e-commerce and e-marketing. Available at SSRN 3769593.

Indrianingsih, Y., Ayuningtyas, A., & Mauidzoh, U. (2020). Promotion System For Promotional Products and Tourist Object in Patu Gunungkidul District. Angkasa, 12(1), 79–88.

Kurniawati, D., & Triawan, D. (2017, November). Increased information retrieval capabilities on e-commerce websites using scraping techniques. In 2017 International Conference on Sustainable Information Engineering and Technology (SIET) (pp. 226-229). IEEE.

Liu, G., Fei, S., Yan, Z., Wu, C. H., Tsai, S. B., & Zhang, J. (2020). An empirical study on response to online customer reviews and E-commerce sales: from the mobile information system perspective. Mobile Information Systems, 2020, 1-12.

Li, V. Q., Ma, L., & Wu, X. (2022). COVID-19, policy change, and post-pandemic data governance: a case analysis of contact tracing applications in East Asia. Policy and Society, 41(1), 129-142.

Martins, A., Martins, P., Caldeira, F., & Sá, F. (2020). An evaluation of how big-data and data warehouses improve business intelligence decision making. Trends and Innovations in Information Systems and Technologies: Volume 1 8, 609-619.

Miao, M., Jalees, T., Zaman, S. I., Khan, S., Hanif, N. U. A., & Javed, M. K. (2022). The influence of e-customer satisfaction, e-trust and perceived value on consumer's repurchase intention in B2C e-commerce segment. Asia Pacific Journal of Marketing and Logistics, 34(10), 2184-2206.

Nazuli, M. F., Utami, N. A., & Putri, S. R. (2021). Information Dashboard Penjualan Produk Fashion Muslim di DKI Jakarta Sebagai Pendukung Strategi Pemulihan Ekonomi Nasional. Seminar Nasional Official Statistics, 2021(1), 1025–1035. https://doi.org/10.34123/semnasoffstat.v2021i1.1009

Oumkaltoum, B. (2019, April). Toward A Business Intelligence Model for challenges of interoperability in egov system: Transparency, Scalability and Genericity. In 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS) (pp. 1-6). IEEE.

Pujiastuti, A., Ayuningtyas, A., Kusumaningrum, A., & Saputra, A. D. (2021). Nawani and Nukoni Applications for Supporting Small and Medium Micro Enterprises in Gunungkidul District. Angkasa: Jurnal Ilmiah Bidang Teknologi, 13(1), 15–26. https://doi.org/10.28989/angkasa.v13i1.807

Rashid, A., & Khurshid, M. M. (2022, July). A Descriptive Literature Review and Classification of Business Intelligence and Big Data Research. In Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume 1 (pp. 865-879). Cham: Springer International Publishing.

Rosales, J., Deshpande, S., & Anand, S. (2021). IIoT based augmented reality for factory data collection and visualization. Procedia Manufacturing, 53, 618-627.

Setiawan, D. F., Tristiyanto, T., & Hijriani, A. (2020). Aplikasi Web Scraping Deskripsi Produk. Jurnal Teknoinfo, 14(1), 41. https://doi.org/10.33365/jti.v14i1.498

Tambunan, N., Gumilar, R. T. P., & Karimah, L. N. (2023). Post-Pandemic Economic System Changes. Journal of Social Research, 2(2), 289-299.

Wang, C. S., Lin, S. L., Chou, T. H., & Li, B. Y. (2019). An integrated data analytics process to optimize data governance of non-profit organization. Computers in Human Behavior, 101, 495-505.

Yusroni, N., & Pratiwi, R. (2022). Impact Of The Covid 19 Pandemic On Micro, Small And Medium Enterprises (Msmes) Performance: A Study In Indonesia. Journal of Positive School Psychology, 6(7), 1610-1615.