MTs Darul Fikri Bringin is a Tsanawiyah Madrasah located in Ponorogo. This madrasah has a good learning system to support the quality of madrasah, one of which is a superior class program. MTs Darul Fikri Bringin is always experiencing an increase in the acceptance of new student registrants every year. In determining the superior class, there are difficulties in class clustering based on students' abilities. This is due to the increasing number of registrants each year. Therefore, in this study the data mining method is applied to help cluster superior classes with student grade variables using the K-Means Clustering Algorithm and Rstudio Tools. Where the attributes used are the report card value, activeness and presence of class VII students. The K-Means Clustring Algorithm method is used to process these 12 attributes so as to produce 2 regular clusters and 1 superior cluster with the Rshiny interface in Rstudio using the R programming language. A in cluster 1 has 23 members. Classes B, C, D include regular classes which include class B in cluster 2 totaling 25 members and classes C and D in cluster 3 totaling 52 members. The application of the K-Means Clustering Algorithm and Rstudio Tools can cluster the determination and selection of superior classes at MTs Darul Fikri.

Sepakbola adalah olahraga yang sangat disukai di Indonesia. Salah satu cara masyarakat Indonesia menikmati sepakbola adalah dengan menyaksikan Liga sepakbola dalam negeri. Selain mengandung unsur hiburan bagi masyarakat juga memiliki unsur ekonomi yang menjanjikan. Gojek Traveloka Liga 1 adalah nama resmi Liga sepakbola yang berjalan di Indonesia. Dengan fakta tersebut maka dapat menimbulkan berbagai opini dari masyarakat terhadap berlangsungnya Liga. Salah satu media untuk mengungkapkan opini dari masyarakat adalah Twitter. Maka dari itu dilakukanlah proses Sentimen Analis dengan bahasa R dengan bantuan software R Studio untuk mengetahui persepsi masyarakat. Data diperoleh dari Twitter dengan metode crawling. Data yang diperoleh berjumlah 1000 buah twett berbahasa Indonesia. Kemudian dilakukan proses pembentukan wordcloud untuk mengetahui topik yang dibicarakan yang diwakili oleh kata yang muncul. Kata “liga” dan “indonesia ” terlihat dominan, disusul kata “persib”, “pssi”, “resmi”, “bopi”,”regulasi”, “gojek”, “traveloka”, dan “timnas”. Lalu dilakukan proses sentimen analis maka diketahui sentimen netral sebanyak 545, positif 192, negatif 143.

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Storing student grades in universities is a sensitive issue when it comes to the security of campus computer networks. In this paper, we propose a blockchain model to ensure the secure storage of student grade data. Each record of recording student grades by a lecturer can be seen as a record in a journal or ledger. All records in one of the departments in a faculty can be seen as a student grade journal. Modeling this data by viewing data records as a journal allows us to model a database for all records in an encrypted and distributed manner. Namely, a model that resembles the blockchain model. In this perspective, a blockchain network can be made in which each node is stored in a different direction. So if there are three departments within the faculty, a blockchain with three vertices can be made. Each node keeps a copy of the overall student grade journal data. So that each node can mutually verify the validity of transaction records in each department. Student value journals are structured in such a way that they form a blockchain that builds hashes that lock together. This modeling of student value records answers the problem of being vulnerable to student scores hacked by irresponsible parties both from within the campus and from outside the campus. Security follows the protocols in the blockchain architecture.

The existence of an information system can make it easier to provide information and services. The Faculty of Engineering of Muhammadiyah University Ponorogo itself has an information system in the form of a website which is used almost every day by students. teknik.umpo.ac.id is a web address that is owned by the faculty of engineering, sometimes students have a lot of complaints about the information and services provided in it, whether the information is less up to date or even the appearance is a bit confusing when opened via a smartphone. The author aims to evaluate the information system to improve services to students. One method for measuring satisfaction is EUCS or End User Computing Satisfaction. Content variable in Content value gets 42.5% percentage which is included in the category of Disagree, Accuracy (Accuracy) of 62.6% percentage of which is in the category of Agree, Display (Format) with 65.73% of the percentage that is included in the Agree category . Ease of Use (user convenience) with a percentage of 77% included in the Agree category. On time (Timeliness) with a percentage rate of 29% which is included in the category of Disagree. The dominant factor in creating user satisfaction in the EUCS method on the technical website.umpo.ac.id is the variable that has the highest mean (mean), namely the ease of use variable which reaches a value of 77%, while the variable which has the lowest mean (mean), which is the Timeliness variable with a percentage of 29%.