Globally, the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as coronary heart disease, heart failure or heart failure, hypertension and stroke. The purpose of this study was to measure the performance of accuracy, precision, recall and f-measure of the K-NN and Crossvalidation methods on a dataset of cardiovascular patients. The dataset used was 1000 records consisting of 11 attributes (age, gender, height, etc.) cardiovascular and non cardiovascular patient data, the dataset was obtained from the UCI Machine Learning Repository managed by the Hungarian Institute of Cardiology Budapest: Andras Janosi, MD, University Hospital, Zurich, Switzerland. The steps taken are: dividing the simulation ratio of the dataset to 20:80, 50:50 and 80:20, applying crossvalidation (k-fold = 10) and classification using the K-NN method (k = 2 to K = 900). The research results from the simulation of the dataset ratio 50:50 obtained an accuracy value of 82%, 82% precision, 82% recall and 80% f-measure at a value of K = 13, then the research results from the simulation of the dataset ratio 20:80 obtained an accuracy value of 87%, 87% precision, 97% recall and 92% f-measure at the value of K = 3, and the results of research from the simulation of the dataset ratio 80:20 obtained an accuracy value of 91%, 92% precision, 60% recall and 72% f-measure at the value K = 5.

Sistem monitoring telah banyak digunakan di bidang teknologi informasi untuk mempermudah proses perolehan informasi dengan cepat, tepat dan mudah. Pada saat ini sistem monitoring masih memanfaatkan sistem manual dan menggunakan informasi seadanya dari server, sehingga pengawasan kecepatan trafik dan pantauan penggunaan bandwith pada Client yang berjalan tidak bisa dikontrol ataupun direkam pada server karena tidak ada monitoring. Kecepatan akses yang lambat dan cenderung tidak stabil, maka dilakukan upaya penyempurnaan untuk mengatur pemeliharaan. Bahkan jika terjadi masalah jaringan, informasi yang diperoleh kurang optimal sehingga tidak bisa diperbaiki dengan cepat. Berdasarkan keadaan tersebut maka dibutuhkan simulasi jaringan menggunakan sistem kerja The Dude yang berfungsi untuk mendeteksi terjadinya masalah jaringan. The Dude merupakan sistem monitoring dari mikrotik yang dapat mengatur jaringan komputer, dan membantu dalam mengolah dan mengetahui kondisi jaringan serta mengirimkan notifikasi status Up dan Down melalui aplikasi Telegram untuk mengetahui kondisi peralatan real time. Berdasarkan hasil yang diperoleh simulasi jaringan lokal menggunakan sistem kerja The Dude, sistem ini dapat mendeteksi permasalahan jaringan, mengetahui kondisi jaringan serta dapat mengirimkan notifikasi status Up dan Down melalui Telegram untuk mengetahui kondisi perangkat tanpa secara real time. Hasil pengujian perhitungan delay pada Telegram antara 1 hingga 60 detik, sedangkan untuk informasi status sistem “Down” berkisar pada 1 hingga 2 menit. Pada penelitian ini masih menggunakan topologi yang sangat sederhana, sehingga perlu dikembangkan topologi lain dan kompleks untuk penelitian selanjutnya.

Alignment of the business and IT strategies of organization required to achieve business goals. Business IT Alignment approach via communication, consider the dimensions of organizational culture, top management support and vision implementation as key success factor. Unified Strategic Alignment Model aims to improving understanding of strategic alignment business and IT, consist of business strategy, IT strategy, IT infrastructure and process, organization infrastructure and process. This paper proposed a model SAM based on organizational culture and characteristic adopter of technology in case study hospital in Bandung (West Java). Organizational culture will influence dimensions of strategic alignment model. Clan culture as organizational culture and early majority as characteristic adopter technology in hospital can help organization to achieve business IT-alignment.

The web server is one type of server that was most frequently attacked because the web server is the most vital means for storing databases. The most frequently used attack is Denial of Service (DoS). DoS is an attack technique against a system by consuming data resources from a server so that the server cannot be accessed again. Therefore, this study aims to design a network security system by implementing an Intrusion Detection System (IDS) using the Snort application as a detection system in the event of a DoS attack on the web server. by implementing Snort on a web server will help network administrators to ensure that the web server is protected from various threats. The results of this study indicates that the Snort rule that has been created has been successfully detecting attacks that have been tested through the LOIC tools.

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