AbstrakPenggunaan IoT semakin berkembang dalam waktu singkat, hal ini dikarenakan oleh semakin berkembangnya teknologi informasi. Hal ini menyebabkan keterlibatan banyak device yang saling terkoneksi dengan sensor yang terpasang pada lingkungan. Sehingga dengan adanya banyak device maka menyebabkan permasalahan interoperabilitas dari masing-masing alat. Untuk mengatasi hal tersebut maka diperlukan sebuah gateway atau protocol yang mampu menjembatani interoperabilitas tersebut. Salah satu tugas Gateway atau protocol tersebut adalah harus mampu menangani permasalahan interoperabilitas serta mampu menangani permintaan maupun device profile dari masing-masing sensor maupun device yang terkoneksi. MQTT sendiri adalah sebuah protocol konektifitas machine to machine (M2M) yang didesain mampu mengirimkan data dengan sangat ringan menggunakan arsitektur TCP/IP. Pada MQTT sendiri mempunyai keunggulan yaitu dapat mengirimkan data dengan bandwith yang ringan, konsumsi listrik yang sedikit, latensi serta konektifitas yang sangat tinggi, ketersediaan variable yang banyak serta jaminan pengiriman data yang dapat dinegosiasikan. Paper ini membahas tentang implementasi MQTT protocol pada smart home security berbasis web. Topik ini dipilih karena keamanan rumah merupakan permasalahan yang sangat penting, apalagi saat kita meninggalkan rumah Kata kunci : MQTT, smart home securiy, internet of things

Crime is one of the classic problems faced big city. One type of crime that is rampant today is theft. Many thieves go home using a duplicate key or use a special way to unlock the door. Therefore we need a tool that is able to anticipate the occurrence of theft, a system that uses a special key. Key that only identical by the owner of the house, one of which is the face. In this final project created a door security system using facial recognition as a key to opening the door. The method used in this tool is the method fisherface. The primary step in the introduction of this face, that face detection, PCA calculation, calculation of FLD. The security system consists of three main parts: a webcam, microcontroller arduino uno, and laptops as database storage. Image of the user's face will be taken by using a webcam. Captured images are stored in the laptop database and matched with the existing database. The results will feed into the microcontroller arduino whether the door is open or locked. Keywords: Door Security, Fisherface, Arduino

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Internet is also increasing exponentially increasing intrusion or attacks by crackers exploit vulnerabilities in Internet protocols, operating systems and software applications. Intrusion or attacks against computer networks, especially the Internet has increased from year to year. Intrusion detection system is main stream in the information security. The main purpose of intrusion detection system is a computer system to help deal with the attack. This study presents a hybrid approach to decision tree algorithm and naïve Bayes to detect computer network intrusions. Performance is measured based on the level of accuracy, sensitivity, precision and spesificity. Dataset used in this study is a dataset KDD 99 intrusion detection system. Dataset is composed of two training data and testing data. The selection of attributes is done using the chi-square, selected the top ten attributes based on the calculation of chisquare. From the experimental results obtained by the accuracy of naïve Bayes decision tree algorithm was 99.82%.

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