The use of internet in the past decade has increased rapidly people using it for transmission of data saving their works, storing all the private information in a system and transmitting through internet. Due to high usage of internet there is also possibility of losing data by unauthorized access and getting hacked and misuse of data. Previously there was a method used known as kids, but the problem with this method was the method used for generation of key and keeping it secrecy, the attackers could easily get access to the key after black box attack. In this paper the proposed system helps to provide more security and prevents it from attacks and also protect the data stored in the system. The proposed schema can be implemented in hospitals for health care domain, for saving the data of Patience by using cloud storage by using it in the detection system. Many developers and researched have introduced schemes in Machines learning and one of this scheme was key based detection system, But this system required more security to prevent from the attackers, in the proposed module am using cryptographic algorithm for creating secret key and for saving the data and Bowl Fish algorithm to hide the data from the attackers and recover the key from the AES algorithm which is saved in encrypted format which has steps of verification to recover the key and give prevention against unauthorized usage and it provides security from the attackers by saving all the data of patience in a hospital using different domains kept in cloud platform.

The Covid-19 virus is a new type of disease, the first case of covid-19 was found in Wuhan Province, China in 2019 with general symptoms such as pneumonia. This virus can grow rapidly and can cause serious infections and even death. Due to the very fast transmission of the virus, the WHO declared the Covid-19 virus a pandemic on March 11, 2020. Anyone can be infected with the covid-19 virus, from small children to the elderly. However, various ways have been done, but the cases of covid-19 continue to increase. Various ways have been done to reduce the spread of COVID-19 so that the Covid-19 virus does not spread quickly. Then data mining techniques are needed by implementing the K-Means algorithm because the K-Means algorithm can group data. In this study, 790 patient data were used for COVID-19 patients. The test resulted in 3 clusters grouped based on low, medium, and high categories with a DBI value of -0.332. In cluster 0 with a low category there are 3 districts, in cluster 1 with a medium category there is 1 sub-district, in cluster 2 with a high category, there are 6 districts. From the results of the test, it can be seen that the age susceptible to COVID-19 is 26 to 45 years.

In increasing sales by increasing consumer satisfaction with the quality of coffee sold. A way is needed to make it easier to predict the determination of quality coffee so as to increase the efficiency of the coffee sorting process which does not take a long time and can increase the productivity of companies that have competitiveness. Several developments have been made to improve the performance of the algorithm which has the potential to produce good quality predictions. Import Copy Data into a format that can be processed to a later stage or with a Machine Learning algorithm. Copy data that can be processed is then modified in such a way as to ensure that the data is suitable for use in Data Science or Machine Learning processes. By using coffee data specifications from the plantation to the coffee beans produced, it is expected that coffee quality can be predicted quickly without the need for manual calculations or analysis by humans. The working procedures for selecting the quality of coffee beans are coffee import data, coffee data processing, split test-train coffee data, light gradient enhancement machine, yield prediction, and Performance Prediction Evaluation. The amount of data used is 1,339 data. The dependent variable in this data is Coffee Quality while the rest will be cleaned and processed to serve as an independent variable. The accuracy rate of the algorithm in predicting coffee quality is 72%.

Sidik jari adalah hasil reproduksi dari kulit permukaan jari, baik yang disengaja diambil / dicapkan dengan tinta maupun bekas yang ditinggalkan pada benda. Bentuk pokok sidik jari ditentukan oleh lapisan epidermal kulit, dimana apabila terjadi kerusakan pada lapisan ini akan bersifat sementara. Sidik jari yang ada pada seseorang adalah permanent dan karakteristik dan bentuknya terjaga dari lahir sampai mati. Selain itu berdasarkan hasil eksperimen Galton terbukti tidak ada dua orang mempunyai sidik jari yang sama, bahkan pada kembar identik pun ditemukan sidik jari yang berbeda meskipun mereka sama . Sehingga sidik jari dapat digunakan sebagai identitas seseorang dalam sistem keamanan. Perceptron merupakan bentuk jaringan syaraf yang sederhana, biasanya digunakan untuk mengklasifikasikan suatu tipe pola tertentu yang sering dikenal dengan pemisahan secara linear . Walaupun merupakan bentuk jaringan yang sederhana dan memiliki keterbatasan dalam pengenalan pola, perceptron dapat menyelesaikan masalah dengan baik dibanding jaringan lain apabila data dapat dipisahkan secara linear. Apabila data tidak dapat dipisahkan secara linear maka dapat dilakukan prepocessing terlebih dahulu untuk menghasilkan data yang dapat dipisahkan secara linear, atau menggunakan banyak perceptron dengan lapisan ganda, atau menggunakan jaringan jenis lain seperti back propagation. Pada tugas parket kerja lapangan ini penulis mencoba untuk menggunakan metode perceptron dengan representasi biner (0 /1). maksudnya, target yang diinginkan akan direprentasikan dengan nilai 1 dan target yang tidak diinginkan akan direprentasikan dengan nilai 0. Nilai target ini dapat dihasilkan oleh jaringan dengan fungsi aktivasi hardlim yang hanya dapat digunakan pada metode perceptron dan tidak dapat digunakan pada metode lain.