In the current era, social media is very influential in our lives whether from Instagram, Twitter, Youtube, or others. One of them is social media Youtube which has a very important role for the public, even though public figures. Youtube provides very interesting content for those who have a channel because they have an assessment of Video Upload, Subscriber, Video Viewers. Even Youtube provides an opportunity for Youtube channels that install Google AdSense to be paid to the owner of the Channel. Youtube Channel ratings can be rated from Video Upload, Subscriber, Video Viewers. From the Youtube data processing data can be done. One data processing technique that can be used in the process is classification. Classification is a data processing technique that divides objects into classes according to the desired number of classes. And using the C4.5 algorithm in the classification process. Who can determine the Youtube Channel especially Indonesia with a Very Good or Good ratio

Saat ini banyak orang tua memberikan fasilitas smartphone pada anaknya dengan alasan agar komunikasi antara mereka tetap terjaga, terutama bagi orang tua yang sibuk dengan karirnya. Namun sayangnya, kecendrungan anak-anak untuk memilih bermalas-malasan dengan smartphone yang dimiliki dibandingkan dengan melaksanakan kewajiban mereka. Sehingga smartphone yang harusnya memberikan manfaat positif justru menjadikan perilaku anak cenderung mengarah ke hal yang negatif. Oleh karena itu, dibutuhkan sebuah aplikasi mobile untuk orang tua dan anak yang dapat membantu mengurangi perilaku negatif anak menjadi ke arah yang lebih positif. Metode waterfall digunakan untuk pembangun aplikasi ini. Sedangkan untuk pembuatan aplikasi ini, penulis memilih Android Studio sebagai Integrated Development Environment (IDE) untuk pengembangan aplikasi. Aplikasi Parenting berbasis Android ini dapat membantu orang tua dalam pembentukan perilaku positif anak disamping kesibukannya. Pada aplikasi ini, orang tua dapat memberikan daftar tugas yang harus diselesaikan olah anak dengan rentang waktu tertentu. Pada login anak, anak dapat memberikan status tugas yang telah diberikannya. Jika anak telah menyelesaikan tugasnya, orang tua dapat memeriksa dan memberikan skor tugas tersebut, dimana skor tersebut akan terakumulasi. Pada posisi skor tertentu, orang tua dapat memberikan reward kepada anaknya

Maintaining skin health is one thing that is also needed. Not only health from inside, health from the outside must also be considered. There are so many skin problems that arise in the human body. Wart disease is characterized by small bumps on the surface of the skin which are generally caused by the Human Papiloma Virus (HPV) virus. One technique for treating wart disease is immunotherapy, this method is a treatment by increasing the immune system to deal with wart disease. Clinical predictions are growing very rapidly by adopting computer science and information technology in managing health and drug data, this clinical prediction can be produced from processing using data mining methods. Data mining is a popular method used to explore patterns or knowledge from large data stacks. C 4.5 algorithm which is one of the decision tree induction algorithms is also a method of data mining algorithms used to classify. This study aims to predict the success rate of immunotherapy treatment methods on wart disease with algorithm C 4.5 using RapidMiner. From the study it was known that the accuracy rate for processing immunotherapy data on wart disease to predict its success using the C 4.5 algorithm of 74.07%.

Background: The Agile method, which is claimed to reduce time needed for software development cycle has been widely used. It addresses communication gaps between customers and developers. Today, the DevOps has been extended as part of the Agile process to address communication gaps between developer’s team members. Despite the rising popularity, the effect of DevOps implementation on the teamwork quality in software development is still unknown.Objective: The objective of this research is to conduct a study on the impact of DevOps on teamwork quality. Two software houses, PT X and PT Y, are chosen as the case studies.Methods: This research uses quantitative methods to analyse research data using simple linear regression. The questionnaire technique is used to retrieve respondent data using 62 questions, consisting of 20 DevOps questions from 4 indicators and 42 teamwork quality questions from 6 indicators.Results: The results from various quality tests indicate that all instruments are valid and reliable while hypothesis tests showed that the DevOps implementation variable has an influence on the teamwork quality variable by 75.6%.Conclusion: It can be concluded that the implementation of the DevOps in software development has a positive correlation with the teamwork quality.