Purpose: The purpose of this study was to evaluate the role of community in economic sustainability towards post-visit behavior to cultural tourism destinations in the city of Palembang. Research methods: This research is a quantitative study, which examines the relationship between the variables of the role of community, in this case, the community, in the economy sustainability of tourism and several other variables, which is the role of the community in ecological, social, cultural sustainability toward post-visit behavior, in the form of tourist satisfaction. The technique analysis used was multiple regression analysis techniques and the data of this study were collected through a survey in 2019, using a questionnaire of 107 respondents who were tourists who had visited one of the cultural tourism destinations in Palembang. Result and Discussion: The results of this study indicate that the role or participation of community in the sustainability of tourism has a positive and significant effect on visitor or tourist satisfaction Conclusion: the community participation in tourism sustainability is significantly important in order to create tourist satisfaction; hence it’s important to focus on community empowerment.

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Fasciola Gigantica infection occurs in swamp buffalo on  livestock in the swamp area of Hulu Sungai Utara District. Geographically, the livestock area is linked to the villages of Sungai Papuyu and Kalumpang Dalam  by swamp water with  no barrier. Such condition allows the snail as intermediate host of F. gigantica in livestock areas  easily spread to residential areas  and, therefore, raises the risk of transmission to humans. This study aimed to confirm the presence of F. gigantica in the cercariae form and snails  in the area around the settlement of both villages. The study was an observational study of cross-sectional design, conducted in August-December 2014 . Snail sampling was conducted at the Sungai Papuyu and Kalumpang Dalam village using hand collection method. To find cercariae in the snail  crushing technique was performed. Cercariae was confirmed by means of PCR to ensure they are F. gigantica in the Laboratory of Molecular Biology, Lambung Mangkurat University, Banjarbaru. The results in both villages showed 6 genera of snail, namely Pomacea, Bellamyâ , Indoplanorbis , Lymnaea , Gyraulus and Melanoides . There are 3 types of cercariae in the snails, namely Echinostome cercariae , Brevifurcate – pharyngeate cercariae and Sulcatomicrocercous cercariae. PCR shows positive samples of F. gigantica in the Echinostome cercariae form in Lymnaea and Indoplanorbis snails. This confirms the presence of F. gigantica cercariae around the settlements area and Lymnaea and Indoplanorbis snail are the first intermediate hosts.

Kotawaringin Barat is a filariasis endemic area and has been undergoing mass drugs adminstration (MDA) for 5 years. The district passed third phase of Transmission Assesment Survey (TAS-3) in 2016. In the TAS-3, we found 4 children with filariasis antibodies. In this study, we performed microscopic examination of microfilaria to confirm the results of TAS-3, as well as the measurement of knowledge, attitudes, and behavior towards the treatment of filariasis. The study was conducted in Dawak Village and Sungai Bakau Village, with a total sample of 620 respondents. The results of microscopic examination are 5 respondents with Brugia malayi in their blood, consisting of 4 respondents in Dawak Village and 1 respondent in Sungai Bakau Village. The percentage of respondents who know the causes and symptoms of filariasis is very small. Although most respondents have a positive attitude towards treatment, the right treatment behavior is still very low. One respondent was found to be reinfected with B. malayi. In addition, it is suspected that there is transmission from animals to humans, but it still needs further investigation.

<p class="SammaryHeader" align="center"><strong>Abstract</strong></p><p><em>The use of social media today is not only to communicate between friends, but also is needed to make facilities to convey the aspirations of certain people in Indonesia about legal issues relating to government and other issues. One of the aspirations conveyed through social media is a hash that is widely seen by one of the Sjakhyakirti University from the use of social media. Then there arises a lot of sentiment from every community, there are those that give positive sentiments and also negative sentiments that can have a good or bad impact on daily life. days in the community. Some reasons for positive and negative sentiments sourced from this social media, will use social media. From this debate the researchers found a solution where this hashtag can provide good results for the general public or vice versa. In analyzing this, the researcher uses the Naïve Bayes Classifier method which is one of the machine learning methods that uses calculations, the classification of automated hashes can help minimize personal misclassification by obtaining positive or negative sentiment information by using data mining that is carried out by using tools that execute the tools that execute data mining operations that have been determined based on the analysis of models of hidden data on big data thus outlining the discovery of knowledge about Sjakhyakirti University.</em></p><p><strong><em>Keywords </em></strong><strong><em>:</em></strong><strong><em> </em></strong><em>Social</em><em> </em><em>Media, Sjakhyakirti, Naïve Bayes Classifie</em></p><p class="SammaryHeader" align="center"><strong>Abstrak</strong></p><p><em>Pemanfaatan sosial media </em><em>saat </em><em>ini tidak hanya untuk berkomunikasi antara teman saja, akan tetapi sering juga dijadikan sebuah sarana untuk menyampaikan suatu aspirasi bagi masyarakat khususnya masyarakat indonesia mengenai masalah hukum ataupun masalah yang berhubungan dengan pemerintahan</em><em> serta masalah lainnnya</em><em>. Salah satu aspirasi yang disampaikan melalui sosial media ini adalah sebuah hastag yang banyak dilihat setiap harinya </em><em>salah satunya </em><em>mengenai </em><em>Universitas Sjakhyakirti </em><em>dari </em><em>pemanfaaat sosial media </em><em>ini </em><em>maka </em><em>munculah banyak sentimen dari setiap masyarakat, ada yang memberikan sentimen positif dan juga sentimen negatif mengenai tanggapan terhadap hastag tersebut yang dapat berdampak baik atau buruk bagi kehidupan sehari-hari dimasyarakat.</em><em> B</em><em>eberapa alasan sentimen posit</em><em>i</em><em>f</em><em> </em><em>dan negatif yang bersumber dari sosial media ini</em><em>, </em><em>akan memanfaatkan sosial media</em><em>. Dari </em><em>permasalahan ini peneliti menghasilkan sebuah solusi dimana hastag tersebut apakah dapat memberikan dampak yang baik bagi masyarakat umumumnya ataupun sebaliknya. Dalam menganalisa ini, peneliti menggunakan metode Naïve Bayes Classifier yang merupakan salah satu metode machine learning yang menggunakan perhitungan probabilitas, pengklasifikasian hastag otomatis ini dapat disesuaikan sehingga meminimalisasi aksi salah pengklasifikasian secara personal dengan memproleh informasi sentimen positif atau negative</em><em> dengan menggunakan data mining yang dilakukan dengan tool weka yang mengeksekusi operasi data mining yang telah didefinisikan berdasarkan model analisis dari data tersembunyi pada sejumlah data besar sehingga menguraikan penemuan pengetahuan mengenai Universitas Sjakhyakirti.</em></p><strong><em>Kata kunci : </em></strong><em>Sosial Media, Sjakhyakirti, Naïve Bayes Classifie</em>