attack world population, and has brought much impact in all aspects of life. Stay at home and doing less in terms of social interactions. This can have a negative effect on mental health, so in this study we use sentiment analysis to know about mental health through public opinion on Twitter. Dataset which used in this study in this study is covid-19 tweets collected at 30 April 2020. Essentially, this dataset consists of 355384 tweets reviews. Covid-19 tweets will classify with the Logistic Regression method. Based on this research, the accuracy of the covid-19 tweeets sentiment classification is 94.71%.
The main principle of license plate recognition is to recognize the characters in the license plate which indicates the identity of the vehicle. This research will provide a system which can be implemented to the automatic payment in highway. Indonesian license plate consists of two parts, every of which has certain characters. These characters may become problem in the recognition process. Another problem is on the type of the license plate since Indonesia applies different color for every type of vehicle. In this research, different approaches are employed in the recognition of license plate; that is using character area as the feature value, also known as feature area, and K-Nearest Neighbor (KNN) as classification method. In addition, another method that has been used in our previous research is also employed to detect the character of license plate. The result shows very significant accuracy of 99.44%. In the process of recognition, scenario 1 gives the best accuracy at the K-1 value; that is 68.57% on the license plate and 92.72% on the characters of license plate. In the scenario 2 was obtained the license plate accuracy of 52% and license plate character accuracy of 89.36% with K-5. The system ran in a relatively short computational time.
Ear, Nose and Throat Disease (ENT) is a common disease that is often considered a harmless disease by people, so they assume there is no need to see a doctor. But in fact, ENT disease can also provide serious disorders if not treated early and right, so the expert system of ENT is needed for early detection before the patient decided to see a doctor or not. Based on these problems, this study proposed the application of the Bayes theorem for early detection of ENT disease. The types of diseases used in this study were six types and had 22 symptoms. User inputs the symptoms of a disease, then the system will provide a diagnosis. This diagnosis can be used as an initial reference for sufferers and can be used as a reference for young doctors who are taking medical education with an ENT specialist. In this initial research, testing was carried out to calculate the computational time needed by the system to diagnose ENT disease. Based on this research, we found that the average computing time needed by the system to diagnose is 00:09:54 or Nine minutes, fifty-four seconds.
Pengabdian kepada masyarakat sebagai Tri Dharma Perguruan Tinggi, harus dilakukan secara kontino demi sebagai penerapan sebuah ilmu pengetahuan yang dimiliki serta sebagai wujud kepadulian kepada masalah-masalah atau fenomena sosial yang terjadi pada masyarakat umum. Dengan adanya kegiatan pengabdian ini diharapkan menjadi solusi atau mampu mengatasi masalah-masalah atau fenomena sosial yang terjadi pada masyarakat tersebut. Tanpa kepedulian dari kelompok atau masyarakat akademik, maka sulit untuk menumbuhkan sumber daya manusia yang berdaya dan berpengetahuan luas. Salah satu pendampingan pembinaan yang dilakukan adalah, 1) sosialisasi pencegahan covid 10; 2) pembinaan baca tulis al-Quran; 3) pembinaan ibadah; dan 4) pembinaan moral atau akhlak anak/remaja. Harapan dari kegiatan pengabdian menjadi solusi dan pengatehuan praktis bagi masyarakat, anak-anak dan remaja.
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