Waqf has an important role in one aspect of Islamic in the economic sector. For document and evidence, waqf noted by nazir (receiver, guard, who maintains waqf) with paper and receipt. That is very vulnerable to losing waqf data which is because it is only documented by paper which is easy to lose or damaged. Based on that problem, then the waqf application based blockchain technology was developed which Aims to securing record data of waqf transaction so as not to be lost or hacked by irresponsible people, other than that for increase effectiveness in executing waqf transaction from wakif (a person who donates his property) side and nazhir (receiver, guard, who maintains waqf) side. The data collection methods used in this article are questionnaires and also interviews. This article confirms that waqf could be stored even better in security effort and saving data which is done digitally via website and android application. The results of the research which got a total result 95% with very feasible criteria, therefore the result of this research from this application have a very feasible score to be implemented for available waqf transaction because it has given more secure and effectiveness for the user.

English WordNet is an important synonym set to present the similarity of meanings between words. Synonym Set is built using Oxford Thesaurus which is accessed through lexico.com, which is a part of the lexical database that will be used. After using the extraction process through Oxford Thesaurus it will produce a synonym set with the same meaning between words. The difference between WordNet and ordinary dictionaries is that the word is interconnected with other words. One method employed for this approach is Robust Clustering Using Links method, which is similarity values and synonym sets that have been created to be used to build a lexical database. Therefore the main purpose of the development of the English WordNet is to produce an accurate synonym set using clustering techniques. The evaluation calculation will use the F-measure method and will use the gold standard for the calculation method. With the ROCK method, there is an increase in accuracy output from dataset input. Building the English wordnet is to improve words that can be used to help research and development of other language wordnets with role models using more accurate English wordnets. And the use of ROCK method there is an increase in the accuracy upon results of the development of English wordnet compared to the previous method, which is using hierarchical clustering. The outcome of this study resulted in improved accuracy so that the ROCK method is one of the good methods used in the development of the English wordnet.