On the internet connection with 2 service ISP (Internet Service Provider) to consider the possibility of interruption on the internet connection. PCC (Per Connection Clasifier) is a method of load balancing in the merge 2 ISP service. Internet network connection is needed by a company or agency that performs each job with depend internet network connection. It is therefore necessary internet network are always standby when the failure occurs the internet connection. At this writing performed a system. First test done with 1 ISP service. Testing both with the use of PCC in the normal state and with the use of PCC occurs when lost connection on one of the links. By using 2 ISP services can be separated between local bandwidth and internasioan done on the second test. On testing the second can be proved that by using the 2 service ISP with load balancing PCC and much better against the service connection network the internet because there is a system that is always on standby when it happened lost connection on one of the links. With system blocks the IP automatically can protect the server mikrotik from attack heacker.
Face detection saat ini banyak diimplementasikan di perusahaan, untuk absensi, keamanan, dan lain-lain. Begitupun pada SMK Teratai Putih yang masih melakukan absensi secara manual dengan memanggil nama persiswa, sedang mencoba mengimplementasikan Face Detection di salah satu ruangan yaitu, laboratorium komputer untuk keperluan absensi siswa, yang menggunakan foto-foto siswa sebagai datasetnya. Metode Haar Cascade Classifier untuk face detection menggunakan pemograman python dan opencv adalah salah satu yang digunakan, dikarenakan yang tingkat akurasi dalam mengukur atau mendeteksi wajah manusia mendapatkan hasil yang baik. Dengan diterapkan face detection harapan adalah dapat mengurangi waktu absensi siswa yang dilakukan oleh guru, dengan memanggil nama siswa satu-persatu. Penulis melihat dari hasil penelitian yang dilakukan di SMK Teratai Putih Jakarta, adalah hasil yang cukup baik dengan tingkat akurasi diatas 50% (50%). Dengan syarat file size fotonya dibawah 1 MB dan dimensions 1000 pixel dan diujicoba dimulai dari nilai Haar Cascade Classifier terkecil. Untuk mendeteksi wajah siswa dilaboratorium komputer yang dijadikan absensi secara manual tidak diperlukan lagi dan waktunya bisa digunakan untuk belajar yang lebih ke mata pelajaran-pelajaran yang diajarkan oleh guru-guru.Kata Kunci: Face Detection, Haar Cascade Classifier, Opencv, Python
The need for an internet network today is very important along with the development and progress of increasingly sophisticated data communications. With uses such as searching for information, the need to upload and download documents from the internet, and participate in video conferences. This causes internet connection traffic to increase, and this will be very disturbing for those who have a small bandwidth network and can cause the internet connection to be disconnected. One way to maintain the quality or quality of internet connectivity is to maintain a balance of traffic and bandwidth savings by dividing the load evenly into several links or paths using the Per Connection Classifier (PCC) method through load balancing techniques. Based on the research that has been done, the traffic load obtained becomes smoother without any accumulation of data.
Virtual Private Network (VPN) is a local communication network that is connected through a public network, with a private data security network, the closure of data transfer from illegal access and network scalability are the main standards in a Virtual Private Network (VPN). In building a VPN at PT. Telkom access is done using the Internet Protocol Security (IP Sec) method. PT Telkom Akses is engaged in the business of providing construction services and managing network infrastructure. At this time PT Telkom Akses sent company data using email, if using company email could not ensure the security of the data sent. PT Telkom, which has many branch offices, is required to have a fast and stable internet connection for transmitting confidential company data. Looking at the existing problems, there are several things that are obtained including, communication between users is still not optimal. Data transmission from branch offices to the head office or vice versa is still not encrypted, which means that data can be viewed or retrieved by unauthorized persons and company confidentiality can be threatened. So creating a VPN network with the IPSEC method will get a more stable and safer connection, files and folders that can be shared by network members, making it easier for network administrators to manage the network if the distance between sites is constrained and the network is well encrypted and already using authentication to connect between sites.
Abstrak - Terdapat dua kelompok besar yang saling memperebutkan pengaruh, yang penulis teliti yaitu Nahdlatul Ulama (NU) dengan wacana Islam dan nasionalisme, dan Gerakan Nasional Pembela Fatwa Ulama (GNPF-Ulama) dengan wacana yang hanya menekankan pada aspek keagamaan. Penelitian ini melakukan klasifikasi tweet dari Influencer yang berafiliasi dengan NU dan GNPF-Ulama di media sosial twitter. Algoritma yang digunakan adalah Naive Bayes dan Support Vector Machine. Data twitter diambil menggunakan library tweepy, proses preprocessing menggunakan python dengan penggunaan library Sastrawi untuk melakukan stemming kata bahasa Indonesia. Klasifikasi dengan metode Naive Bayes dan Support Vector Machine dilakukan menggunakan aplikasi RapidMiner. Berdasarkan penelitian, metode Support Vector Machine menghasilkan nilai akurasi dan AUC yang lebih baik dari Naive Bayes yakni sebesar 77.28% dan AUC sebesar 0.863.Kata Kunci - Klasifikasi, Naive Bayes, Support Vector Machine, NU, GNPF-Ulama Abstract - There are two major groups competing for influence, which the authors examine, namely Nahdlatul Ulama (NU) with a discourse on Islam and nationalism, and the National Movement for Defending Fatwa Ulama (GNPF-Ulama) with a discourse that only emphasizes religious aspects. This study classified tweets from Influencers affiliated with NU and GNPF-Ulama on Twitter social media. The algorithm used is Naive Bayes and Support Vector Machine. Twitter data is taken using the tweepy library, the preprocessing process uses python with the use of the Sastrawi library to stem Indonesian words. Classification using the Naive Bayes method and Support Vector Machine is done using the RapidMiner application. Based on the research, the Support Vector Machine method produces better accuracy and AUC values than Naive Bayes which is 77.28% and AUC of 0.863.Keywords - Classification, Naive Bayes, Support Vector Machine, NU, GNPF-Ulama
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