Sistem Deteksi Kecanduan Pornografi Berbasis Chatbot Menggunakan Pornography Addiction Screening Tool (PAST)

The use of the internet not only brings benefits but also harms ease access to pornographic content. Pornographic content is solely available on adult websites spread social media accessed by many children adults. As a result, problems arise due pornography addiction, such as rape, sexual orientation deviation, and crimes against children. Uniquely, addiction hard detect objectively compared drug or alcohol addiction. This study aims develop detection system in form chatbot-based mobile application. choice chatbot because this supports interactive automatic communication patterns guarantees privacy its users. adopts psychological measurement technique Pornography Addiction Screening Tool (PAST), benchmark developing application logic. Meanwhile, development uses waterfall method which has been tested best practices software method. Tests performed are developer environment. validation mechanism Black-box testing observe execution when it runs functionality that was designed beforehand. In addition, usability level adopted from System Usability Scale (SUS) From test results, found operates normally can be used supporting medium for handling psychiatrists.