This study aims to analyze the changes in purchasing decisions in conducting transactions using cash and digital payment systems. Cash payment systems are very different from digital payments because they no longer use banks as intermediaries for transactions. The scope of this study is to determine the differences that take place with purchasing decisions using digital payment systems with OVO Indonesia smart applications. By using the paired T-test sample test method and testing the regression class assumptions, it is expected we will document the comparison between cash and digital payment systems as regards changes in consumers' buying interest behavior towards goods. Data is obtained by purposive sampling using special characteristics for smart application users. The results show that digital payments are developing very quickly, but cash payments still dominate due to the unavailability of complete facilities and infrastructure to support digital payment systems other than in cities. This study illustrates that digital payments have not been able to completely change consumer buying behavior in large numbers, but the main finding in this study is an increase in the percentage of digital payment usage to the online market, due to the many conveniences provided in OVO smart applications.

The national examination result is no longer be used as a passing student determining factor, but it can be used as a reference for the schools to determine school’s policy in the future. So far the prediction of the results of the national examination has not been carried out systematically, therefore this system of national examination result prediction is expected to help the stakeholder in the prediction process. In this research, the method of linear regression will be implemented in the system of national examination result prediction web-based. The data used in the trial of linear regression method implementation in the system as much as 45 data. The result showed that the linear regression method can be implemented in the system of national examination result prediction with average MSE about 8,68 and average MAPE about 10.15%.

2) , ABSTRAK Klasterisasi adalah proses pengelompokan data menjadi beberapa kelompok atau cluster sehingga dalam satu kelompok memiliki kemiripan yang maksimum dan data antar kelompok yang memiliki kemiripan minimum. Kemiripan yang dimaksud merupakan pengukuran secara numerik antara dua objek. Nilai kemiripan akan se-makin tinggi jika kedua objek yang dibandingkan memiliki kemiripan yang tinggi. Metode K-Means merupakan metode pengelompokkan yang berbasis titik pusat, dan memiliki kemampuan dalam pengelompokkan data dengan jumlah besar dalam waktu yang cepat dan efisien. Tujuan dilakukannya penelitian ini adalah klusterisasi persebaran Virus Covid-19 tingkat Kecamatan di Wilayah Kabupaten Lamongan berdasarkan parameter jumlah ODP, PDP, kasus positif, pasien sembuh dan pasien meninggal.

overheating, backward elimination, certainly factor, radiator

Internet Of Things (IoT) Is A Concept Where Internet Connectivity Can Exchange Information With Each Other With Things Around It. Many Predict That the Internet of Things (IoT) is “The Next Big Thing” in the World of Information Technology. System Testing Is Done In The Graha Indah District Of Lamongan Regency. Sensor Nodes Will Be Placed Near High Teget Sutet Network, Atmega 828 Microcontroller in this study as NodeMCU to be able to read data from sensors and convert the data obtained into the form of numbers that are easy to understand. Another function of the program is to send the data to the middleware every 50 seconds. Data retrieval every 60 minutes is intended to be able to get strong and weak GSM network signals that are close to the SUTET electricity network.