Implementation of ElasticSearch Search Engine on Order Management System Data

Fitrianah, Devi; Palito, Thomson; Salamah, Umniy

doi:10.5120/ijca2018917617

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…erefore, he tested the proposed algorithm in commercial case studies related to practical problems in the aviation industry [15,16]. In his experiments, he combined the algorithm with the nearest neighbor method to solve the larger state space [17,18]. However, this kind of algorithm has a large error.…”

Section: Related Contentmentioning

confidence: 99%

Application of Reinforcement Learning Algorithm in Delivery Order System under Supply Chain Environment

Huang

Tan²

2021

Mobile Information Systems

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With the intensification of market competition and the development of market globalization, the efficiency of supply chain management orders has become an important part of enterprise competition resources. The competition among enterprises is fierce. To achieve effective customer response quickly, the time for supply chain order management is minimized, and refine the order processing process. This article introduces the strategy research of supply chain management order based on a reinforcement learning algorithm. This article first combines the reinforcement learning algorithm and deep learning algorithm, using the optimal decision-making ability of reinforcement learning algorithm and deep learning algorithm. The combination of data perception and the optimal ability to analyze examine the data of the order process, order cycle, and order delivery process of the supply chain order management and give the optimal decision. The supply chain order management process conducts questionnaire surveys and seminars to understand the current process of supply chain order management and the problems derived from the analysis of data based on the deep learning algorithm. Finally, through the output of the optimal strategy of the reinforcement learning algorithm, the supply chain order management process was improved, and the satisfaction survey was conducted again. The survey showed that the satisfaction was improved, and the satisfaction reached more than 90%.

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Section: Related Contentmentioning

confidence: 99%

Application of Reinforcement Learning Algorithm in Delivery Order System under Supply Chain Environment

Huang

Tan²

2021

Mobile Information Systems

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“…The development of technology and the increasing human needs are two things that influence each other [1] [2]. Increased human needs will trigger technological developments, while technological developments will also spur other needs to deal with the negative impacts of new technologies [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Development of Art Performance Tickets Information System at Public High School

Salamah

Maulana

2020

IJISCS

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The development of technology and increasing human needs are two things that influence each other. As one example is the need to purchase art performance ticket using the internet. At present, most printed tickets allow misuse by irresponsible parties, but it also takes longer to get tickets. Therefore a solution is needed to purchase tickets with the website. In addition to making it easy for buyers and organizers, tickets will be accepted quickly. E-Ticketing is a way to document the sales process of a business activity without having to physically issue valuable documents or paper tickets. A website-based ticket art purchase application is needed to make purchasing process easier. The making of this application uses HTML as client-side development, PHP as server-side development, and MySQL as a database. With this application it is expected to help the organizers and buyers in making it easier to get tickets. In the testing phase this application starts from creating an account to getting a ticket going well. Then from the conclusions of the application made with this application, the buyer will get the convenience of getting tickets and buying tickets for events held at school by opening the website that has been provided.

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Designing a Data Pipeline Architecture for Intelligent Analysis of Streaming Data

Mysiuk,

Shuvar

et al. 2024

Communications in Computer and Information Science

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Implementation of ElasticSearch Search Engine on Order Management System Data

Cited by 4 publications

References 1 publication

Application of Reinforcement Learning Algorithm in Delivery Order System under Supply Chain Environment

Application of Reinforcement Learning Algorithm in Delivery Order System under Supply Chain Environment

Development of Art Performance Tickets Information System at Public High School

Designing a Data Pipeline Architecture for Intelligent Analysis of Streaming Data

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