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The commodities of life have become the necessities of the society. Because the
prices of commodities foods in the market can fluctuate at any time, it is difficult for the
general public to monitor these price fluctuations. Technology is a part of our lives, so
smartphone usage in Indonesia's population over 50% of his indicates that digital access is
already fairly evenly distributed in Indonesia. Based on these circumstances, this project
focuses on developing a simple commodity price monitoring application to enable ordinary
people to monitor prices via smartphones. This makes it easier to save time and money.
This final project aims to help people especially for mothers who always go to the
market in the morning to monitor the price of commodities in the market with technology.
This work involves the development of an Android-based mobile application, which can
enable users to obtain information about prices of staples in the available market. The
application may contain features such as price of commodities, and information about the
total product they are about to buy. The method of data collection used is by taking the price
data of basic commodities from several traditional markets. The methodology that is used for
the project called Rapid Application Development (RAD) where it consists for 4 phases. First
phase is about planning all the requirements needed, second phase is about design of
application, third phase is about develop the application, and last phase is about testing.
The data collected will be processed and stored in a database to be displayed in real-
time on the application. Therefore, the aim is assisting users in monitoring the prices of basic commodities in the market, so they can maintain their budget before going to market and it
saves time and money in the process of purchasing daily basic commodities. The results of
this work are expected to contribute to the development of an effective mobile application to
monitor prices of staples in the market and can assist users in making wiser purchasing
decisions. In addition, the results of this study are also expected to contribute to research
related to the development of similar applications in the future. The result that the main
feature in the application includes add product to the cart one by one or add product from the
recipe menu and it will show the total price of product. The menu that allows user to search
and filter product. Also, price sorting from lowest price to highest price or vice versa that
developed using Sort Algorithm. The application has covered all the features mentioned and
runs as expected after some process like research, development, and testing. There are some
further development or improvement of the application to support the platform in better
performance such as UI improvement, track the nearest market, and print order history as a
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