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Destivanesha Rina
Universitas Nasional
Computer Science & IT Mathematics

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Aplikasi Spoxtech Untuk Penyandang Tuna Rungu – Wicara Menggunakan Algoritma Hidden Markov Model dan Metode Finite State Automata (FSA) Destivanesha Rina; Fauziah Fauziah; Nur Hayati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 3 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (941.588 KB) | DOI: 10.30998/string.v5i3.7690

Abstract

Communication is a very important thing to establish social relations. In communicating, deaf and mute persons have difficulty conveying what information they want to convey. The Android-based Spoxtech application is an application specially designed for deaf and speech impaired persons. As the name implies, Spoxtech is taken from the word speech to text - text to speech. This application can make it easier for users to communicate because it is equipped with a voice menu that functions to detect the spoken voice which is then converted into text and a typed menu which functions to detect writing which is then converted into voice form. This application was created using the Hidden Markov Model algorithm in generating sound into text and using the finite state automata method in generating text into sound by performing two-level decapitation. This results of this study were carried out by testing the whitebox and blackbox. In this research, the text normalization test on the typewriter menu was also carried out, namely each word containing currency, time, temperature, and number units. The accuracy value obtained in testing this application uses Indonesian by testing the voice menu and typing menu and testing the two-level decapitation, the value is 100% of the 300 words in Indonesian.
Pencegahan Penyebaran Virus Corona di Bandara Menggunakan Artificial Intellegence Destivanesha Rina
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 1 (2020)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.872 KB) | DOI: 10.30998/string.v5i1.6199

Abstract

Identifying the corona virus on international arrival passengers aims to find out whether the passenger has the corona virus or not. Corona virus is one of the health problems that really needs our attention now. Because this virus can cause death, and the way the virus is transmitted is very easy and fast. There are many things that can be done to reduce the spread of this virus to the territory of Indonesia, one of which is to identify the body temperature of each passenger on international arrivals at the airport. At the airport the identification of this virus is done by using Artificial Intelligence. One of the things that is the goal of developing artificial intelligence (AI) is to help humans. This often means imitating the abilities and intelligence of the person he is trying to help or replace. The tool used is the Thermal Scanner Camera that can see directly the body temperature of the passenger. And there are several kits that have been made to check directly whether there is a corona virus in the human body by using the Rapid Test and PCR Test. This research was conducted to see how important AI (artificial intelligence) is in helping reduce the spread of corona virus. According to some existing data, the use of Thermal Scanner Camera can help reduce the spread of corona virus at airports.
Co-Authors Fauziah Fauziah Nur Hayati