Recently, the development of conversational system as a medium of conversation between human and computer have made a great stride. This human and computer communication has covered the way for enormous natural language processing techniques. A chatbot is a computer system that allows human to interact with computer using natural language. The chatbots system are widely used in various field such as in businesses, education, healthcare and many more. The design and development of chatbots involves variety of techniques. Therefore, in this paper, we presents the review of techniques used to design Chatbots. A few examples of chatbots design is also discussed to give an understanding on how chatbots works and what are the type of approaches available for chatbots development. With rapid development in Chatbots technology, it is hoped that it could complement human constraints and optimize the productivity.
Text-based passwords are ubiquitous authentication system. This traditional authentication system is wellknown for it flaws in the aspects of usability and security issues that bring problems to users. Hence, there is a need for alternative mechanism to overcome these problems. Graphical passwords, which consist of clicking or dragging activities on the pictures rather than typing textual characters, might be the option to overcome the problems that arise from the text-based passwords system. In this paper, a comprehensive study of the existing graphical password schemes is performed. We compared and categorized these schemes into two groups; recognition-based scheme and recall-based scheme. We also list out several usability and security features for research continuity in this area.
Kebakaran adalah timbulnya api yang tidak dikehendaki dan sangat sulit di kendalikan,yang mengakibatkan kerugian berupa material maupun moril,yaitu harta benda, dan korban jiwa manusia. Maka dalam penelitian ini dibuat sistem deteksi kebakaran pada kendaraan berbasis mikrokontroler dan aplikasi map menggunakan IoT yang akan bekerja saat sensor mendeteksi adanya kebakaran sehingga dapat menemukan lokasi kebakaran melalui aplikasi. Sistem dibangun dengan menggunakan tipe arduino NodeMCU ESP8266 sebagai pusat kendali, sensor api sebagai pendeteksi kebakaran, aplikasi telegram sebagai pengirim pesan kebakaran dan modul GPS NEO-6 sebagai pelacak lokasi kebakaran. Sistem ini dibangun dengan menghubungkan sensor api dengan pin input NodeMCU ESP8266. Output dari sistem ini berupa pesan informasi api pada nomor pemilik sistem. Muncul pesan teks seperti “Sensor 1 terdeteksi High fire segera hubungi pemadam kebakaran, dengan nomor 113 atau 1131“ Pesan ini diterima saat terdeteksi adanya kebakaran besar di dalam kendaraan. Aplikasi map akan langsung menampilkan peta lokasi kebakaran sesuai dengan lokasi kebakaran di pesan teks. Setelah dilakukan pengujian, sensor api yang digunakan dapat mencapai jarak kurang lebih 300 cm. NodeMCU ESP8266 dapat mengirimkan perintah pesan api ke Aplikasi Telegram dan pesan teks dapat diterima oleh pemilik sistem dalam waktu kurang dari 30 detik, dengan kesalahan yang terjadi pada Modul GPS NEO-6 sebesar 0,0047% sebagai pembacaan koordinat lokasi
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