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Abstract— Development of social media which is the result of technological development is an inseparable part of people's lives. Social media is a place where ordinary people express their feelings and opinions about something that concerns them. Inknowing the direction of public sentiment, surveys are usually done online or offline, this sentiment analysis system will facilitate and speed up the process of knowing the direction of public sentiment, in the case of research. This uses data from Twitter social media called tweets or tweets, web-based sentiment analysis system that will classify tweets into 3 (three) types of sentiments, namely positive, neutral and negative, then make a percentage to make it easier to see the direction of public sentiment. In classifying this system uses the Naive Bayes Classifier method and displays it in a web interface with the PHP programming language and uses the Application Programming Interface (API) to get data from Twitter. Intisari — Saat ini perkembangan media sosial yang merupakan hasil dari perkembangan teknologi menjadi bagian tak terpisahkan dari kehidupan masyarakat. Media sosial menjadi tempat masyarakat biasa mengutarakan berbagai perasaan dan opininya tentang suatu hal yang jadi perhatian mereka, dalam mengetahui arah sentimen masyarakat biasanya dilakukan survei baik secara online atau offline, sistem analisis sentimen ini akan memudahkan dan mempercepat proses mengetahui arah sentimen publik, dalam kasus penelitian ini menggunakan data dari media sosial Twitter yang disebut dengan tweets atau cuitan, sistem analisis sentimen berbasis web yang akan mengklasifikasikan cuitan kedalam 3 (tiga) jenis sentimen yaitu positif, netral dan negatif lalu melakukan persentasenya agar mempermudah melihat arah sentimen publik. Dalam melakukan klasifikasinya sistem ini menggunakan metode Naive Bayes Classifier dan menampilkannya dalam antarmuka web dengan bahasa pemrograman PHP dan menggunakan Application Programming Interface (API) dalam mendapatkan data dari Twitter.

Karsinoma sel basal (KSB) merupakan  kanker kulit yang paling sering terjadi, bersifat slow growing, invasif lokal, agresif dan destruktif  lokal, jarang bermetastasis, namun dapat menyebabkan kerusakan jaringan lokal dan cacat fungsional. Radioterapi sebagai terapi utama dalam kondisi tertentu mampu memberikan hasil yang baik. Begitu pula sebagai terapi adjuvan, radioterapi terbukti mampu menurunkan angka rekurensi dengan konsekuensi kosmetik minimal dan efek samping yang dapat ditoleransi. Oleh karena itu, pertimbangan radioterapi dalam tatalaksana KSB harus dimasukkan ke dalam pengambilan keputusan klinis dan manajemen multidisiplin.

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In ICT needed to learn database management. One application in database management is MySQL. The service team conducted an analysis of the community's needs regarding the application of the ICT application, especially at SMKs in the city of Palembang. In practice, service participants at SMK are accompanied by tutorials where the presenters conduct demonstrations by working on the material that has been prepared, which then the participants follow and implement the material simultaneously with the presenters. In the end, the service team found that the participants had gained knowledge and skills from this training activity. This can be seen from the feedback given by the participants where 78% of the participants stated that they understood the material provided well and the material presented was very useful.

One of the infectious diseases that emerged in Indonesia in 2020 has been designated as a COVID-19 pandemic since March 11, 2020, and until now, the pandemic has not been completed. Surveillance has a role in providing information on targeted disease control activities; analyzed the COVID-19 surveillance system based on the current system approach at the Makassar City Health Office. Methods This research is a descriptive observational study conducted in September-October 2020. Data collection was carried out using in-depth interviews with people who were key informants of COVID-19 surveillance activities. There are four informants in this study. In addition, secondary data was obtained from the P2P field regarding COVID-19 cases. In general, the Input component has not been fulfilled; HR has multiple tasks, the job desk is irregular, and several important forms are not used in the methods section. The process component has been running but has not been maximized because there are still incomplete data, no reports based on the PE form, the All-Record TC-19 information system has not been used, and data analysis is still incomplete, data analysis is not equipped with data interpretation. In the Output component, the success rate for public health surveillance criteria has not been evaluated, and the dissemination of information has been carried out well across sectors. The implementation of COVID-19 surveillance at the Makassar City Health Office has been carried out well, but some things are still not optimal.