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Price Watch: An Online Price Monitoring Mobile Application with Exponential Smoothing for Agribusiness and Marketing Assistance Service

Published:16 March 2019Publication History

ABSTRACT

Every day, almost every Filipino citizen goes to a public market to purchase different agricultural products for their daily food consumption. Some merchants and dealers increase the price of their products for their own sake. Many Filipino citizens earn a minimum wage to feed their family. Certain major problems existing in the majority of our public markets cover important aspects of market operations such as location, construction, sanitation, security /safety, market fee collection, and occupancy of stalls result in the gradual but progressive deterioration of the markets. This study focuses on the analysis, design, and whole development of the mobile application, Price Watch and implementation of Exponential Smoothing algorithm. This mobile application helps Filipino citizens be aware of the prices of commodities in the public market. The mobile application allows its users to see the prices of different products in the public market and show the graph so users will easily recognize the increase in the price of the products every day, monthly, and yearly. It also has the capability to forecast the daily price of the product in the public market. Also show the price of the agri products of selected market in NCR. With the use of ISO/IEC/IEEE 29119 Testing Standards, the application was evaluated in terms of its functional suitability, usability and reliability. Based on the evaluation results, the application satisfied the respondents and possible users, with an overall mean rating of 4.22.

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  1. Price Watch: An Online Price Monitoring Mobile Application with Exponential Smoothing for Agribusiness and Marketing Assistance Service

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        cover image ACM Other conferences
        ICISS '19: Proceedings of the 2nd International Conference on Information Science and Systems
        March 2019
        325 pages
        ISBN:9781450361033
        DOI:10.1145/3322645

        Copyright © 2019 ACM

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        Publication History

        • Published: 16 March 2019

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