Stopword removal necessary in Information Retrieval. It can remove frequently appeared and general words to reduce memory storage. The algorithm eliminates each word that is precisely the same as the word in the stopword list. However, generating the list could be time-consuming. The words in a specific language and domain must be collected and validated by specialists. This research aims to develop a new way to generate a stop word list using the K-means Clustering method. The proposed approach groups words based on their frequency. The confusion matrix calculates the difference between the findings with a valid stopword list created by a Javanese linguist. The accuracy of the proposed method is 78.28% (K=7). The result shows that the generation of Javanese stopword lists using a clustering method is reliable.

The impact of the digital era is the gap between active smartphone users and those who are not particular. Then IT is not fully felt by the senior citizen. This study aims to determine the ability of the senior citizen in the use of smartphones. The results of the study will be used as a reference for teaching IT to four senior citizen people. As a result, two senior citizen people want to be taught to use smartphones intensive and privately.