Information Retrieval of Physical Force Using the TF-IDF

Current information retrieval is done using a search engine or information retrieval system, users write queries and search engines will display search results. Existing and widely used search engines now provide many search results (many documents are taken), so it takes time to determine the relevant search results. Therefore we need a way to classify the amount of information available, which is needed by the user, making it easier for users to get the desired documents. Information retrieval system is a system that is used to find information that is relevant to the needs of its users, by applying the system problem information retrieval Physics force can provide relevant results according to the needs of users. There are two main processes in information retrieval systems, namely indexing and retrieval. One of the weighting algorithms is the TF-IDF which is influenced by the frequency of occurrence of words in each document and the frequency of documents that have the word. The result in a recall value close to 1 in each test which shows that almost all relevant documents can be found by the system, the precision values are between 0.6666667 to 1 which shows that there are other documents besides the relevant documents found by the system.