A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level
The wholesale rice trade in Indonesia encounters various challenges in forecasting prices. These challenges are influenced by factors such as weather, government policies, global market conditions, and other economic variables. Accurate price predictions are crucial for informing government policy i...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ikatan Ahli Informatika Indonesia
2024-08-01
|
| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5869 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841544047149187072 |
|---|---|
| author | Solikhun Tri Yunita |
| author_facet | Solikhun Tri Yunita |
| author_sort | Solikhun |
| collection | DOAJ |
| description | The wholesale rice trade in Indonesia encounters various challenges in forecasting prices. These challenges are influenced by factors such as weather, government policies, global market conditions, and other economic variables. Accurate price predictions are crucial for informing government policy in a timely manner. This research introduces a new approach that utilizes the Quantum Perceptron algorithm to forecast rice prices. The algorithm, an innovative method in quantum computing, is expected to enhance the efficiency and effectiveness of price predictions. Although the research is still in the analytical stage, the use of Quantum Perceptron shows promise in dynamically addressing the complexity of market data and the variability of factors affecting rice prices. The method focuses on developing models that can leverage quantum computing to process information more effectively than classical methods. By harnessing the unique properties of quantum mechanics, such as superposition and entanglement, Quantum Perceptron can identify complex patterns and optimize predictions of future rice prices. The research describes the implementation of quantum algorithms in the context of the Indonesian rice wholesale market, including the technical challenges encountered and future development prospects. The research utilizes quantum computing along with the perceptron algorithm. The researchers focused on analyzing the quantum perceptron algorithm because of the limited availability of quantum computing devices. The findings of this research are confined to analysis. In order to advance this research, the author recommends that future studies employ quantum devices to achieve more accurate predictions |
| format | Article |
| id | doaj-art-913acf6814ec4b0987f4aae77289f741 |
| institution | Kabale University |
| issn | 2580-0760 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj-art-913acf6814ec4b0987f4aae77289f7412025-01-13T03:33:02ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602024-08-018447948510.29207/resti.v8i4.58695869A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade LevelSolikhun0Tri Yunita1AMIK & STIKOM Tunas BangsaSTIKOM Tunas BangsaThe wholesale rice trade in Indonesia encounters various challenges in forecasting prices. These challenges are influenced by factors such as weather, government policies, global market conditions, and other economic variables. Accurate price predictions are crucial for informing government policy in a timely manner. This research introduces a new approach that utilizes the Quantum Perceptron algorithm to forecast rice prices. The algorithm, an innovative method in quantum computing, is expected to enhance the efficiency and effectiveness of price predictions. Although the research is still in the analytical stage, the use of Quantum Perceptron shows promise in dynamically addressing the complexity of market data and the variability of factors affecting rice prices. The method focuses on developing models that can leverage quantum computing to process information more effectively than classical methods. By harnessing the unique properties of quantum mechanics, such as superposition and entanglement, Quantum Perceptron can identify complex patterns and optimize predictions of future rice prices. The research describes the implementation of quantum algorithms in the context of the Indonesian rice wholesale market, including the technical challenges encountered and future development prospects. The research utilizes quantum computing along with the perceptron algorithm. The researchers focused on analyzing the quantum perceptron algorithm because of the limited availability of quantum computing devices. The findings of this research are confined to analysis. In order to advance this research, the author recommends that future studies employ quantum devices to achieve more accurate predictionshttps://jurnal.iaii.or.id/index.php/RESTI/article/view/5869predictionrice priceindonesiaperceptronquantum computing |
| spellingShingle | Solikhun Tri Yunita A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) prediction rice price indonesia perceptron quantum computing |
| title | A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level |
| title_full | A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level |
| title_fullStr | A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level |
| title_full_unstemmed | A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level |
| title_short | A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level |
| title_sort | quantum perceptron a new approach for predicting rice prices at the indonesian wholesale trade level |
| topic | prediction rice price indonesia perceptron quantum computing |
| url | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5869 |
| work_keys_str_mv | AT solikhun aquantumperceptronanewapproachforpredictingricepricesattheindonesianwholesaletradelevel AT triyunita aquantumperceptronanewapproachforpredictingricepricesattheindonesianwholesaletradelevel AT solikhun quantumperceptronanewapproachforpredictingricepricesattheindonesianwholesaletradelevel AT triyunita quantumperceptronanewapproachforpredictingricepricesattheindonesianwholesaletradelevel |