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https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

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The development of technology and communication today encourages everyone to get everything quickly, easily and precisely, especially in the world of e-commerce which is increasingly widespread and needed by almost everyone. The hope is that with just one keyword, customers can find the right product using a search engine. Therefore, in this study, the Agile Scrum, MapReduce, and Suffix Tree methods are used to create an application that can help users to find products quickly and provide suggestions based on keywords. With a target result of an average search time of less than 100 ms, the prototype of the application already has a fast and accurate response time to display suggestions for customers.

Pendekatan MapReduce untuk Implementasi Suffix Tree pada AutoComplete Produk dengan Metodologi Agile