Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian
In the current digital era, e-commerce has become the backbone of Indonesia's digital economy, which is experiencing rapid growth. However, competition in this industry is becoming increasingly fierce, indicating the importance of predicting the number of website visitors for an effective marke...
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LPPM ISB Atma Luhur
2025-05-01
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| Series: | Jurnal Sisfokom |
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| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2334 |
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| author | Solikhun Solikhun Dinda Carissa Arishandy Ela Roza Batubara Poningsih |
| author_facet | Solikhun Solikhun Dinda Carissa Arishandy Ela Roza Batubara Poningsih |
| author_sort | Solikhun Solikhun |
| collection | DOAJ |
| description | In the current digital era, e-commerce has become the backbone of Indonesia's digital economy, which is experiencing rapid growth. However, competition in this industry is becoming increasingly fierce, indicating the importance of predicting the number of website visitors for an effective marketing strategy. Quantum Perceptron, the latest quantum computing innovation, promises a more accurate and efficient approach compared to conventional methods such as classical Perceptron. This research proposes the use of Quantum Perceptron to predict the number of visitors on large e-commerce platforms in Indonesia. The data used in the research is data on the number of e-commerce visitors obtained from the katadata.com website. Data from Shopee, Tokopedia, Lazada, Blibli, and Bukalapak were used to analyze and compare predictions with classical perceptron methods, showing the significant potential of Quantum Perceptron in supporting the development of more efficient business strategies. The research results show that the Quantum Perceptron algorithm can make predictions very well compared to the classical perceptron, proven by the Quantum Perceptron having a perfect accuracy of 100% with a total of 2 epochs while the classical perceptron has 100% accuracy with a total of 10 epochs. Quantum perceptron has better performance and shorter time, this can be seen from the smaller number of epochs. |
| format | Article |
| id | doaj-art-636f931b46ae4e6a89c2add7dcbb0277 |
| institution | Kabale University |
| issn | 2301-7988 2581-0588 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | LPPM ISB Atma Luhur |
| record_format | Article |
| series | Jurnal Sisfokom |
| spelling | doaj-art-636f931b46ae4e6a89c2add7dcbb02772025-08-20T03:31:01ZengLPPM ISB Atma LuhurJurnal Sisfokom2301-79882581-05882025-05-0114220220710.32736/sisfokom.v14i2.23341997Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in IndonesianSolikhun Solikhun0Dinda Carissa Arishandy1Ela Roza Batubara2Poningsih3Department of Informatics Engineering, STIKOM Tunas BangsaDepartment of Informatics Engineering, STIKOM Tunas BangsaDepartment of Information Systems, STIKOM Tunas BangsaDepartemnt of Master Informatics, STIKOM Tunas BangsaIn the current digital era, e-commerce has become the backbone of Indonesia's digital economy, which is experiencing rapid growth. However, competition in this industry is becoming increasingly fierce, indicating the importance of predicting the number of website visitors for an effective marketing strategy. Quantum Perceptron, the latest quantum computing innovation, promises a more accurate and efficient approach compared to conventional methods such as classical Perceptron. This research proposes the use of Quantum Perceptron to predict the number of visitors on large e-commerce platforms in Indonesia. The data used in the research is data on the number of e-commerce visitors obtained from the katadata.com website. Data from Shopee, Tokopedia, Lazada, Blibli, and Bukalapak were used to analyze and compare predictions with classical perceptron methods, showing the significant potential of Quantum Perceptron in supporting the development of more efficient business strategies. The research results show that the Quantum Perceptron algorithm can make predictions very well compared to the classical perceptron, proven by the Quantum Perceptron having a perfect accuracy of 100% with a total of 2 epochs while the classical perceptron has 100% accuracy with a total of 10 epochs. Quantum perceptron has better performance and shorter time, this can be seen from the smaller number of epochs.https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2334quantum perceptrone-commercewebsite visitor predictionquantum computingmarketing strategies |
| spellingShingle | Solikhun Solikhun Dinda Carissa Arishandy Ela Roza Batubara Poningsih Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian Jurnal Sisfokom quantum perceptron e-commerce website visitor prediction quantum computing marketing strategies |
| title | Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian |
| title_full | Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian |
| title_fullStr | Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian |
| title_full_unstemmed | Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian |
| title_short | Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian |
| title_sort | quantum perceptron in predicting the number of visitors to e commerce websites in indonesian |
| topic | quantum perceptron e-commerce website visitor prediction quantum computing marketing strategies |
| url | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2334 |
| work_keys_str_mv | AT solikhunsolikhun quantumperceptroninpredictingthenumberofvisitorstoecommercewebsitesinindonesian AT dindacarissaarishandy quantumperceptroninpredictingthenumberofvisitorstoecommercewebsitesinindonesian AT elarozabatubara quantumperceptroninpredictingthenumberofvisitorstoecommercewebsitesinindonesian AT poningsih quantumperceptroninpredictingthenumberofvisitorstoecommercewebsitesinindonesian |