Judul: Analisis Topik Data Media Sosial Twitter Menggunakan Model Topik Latent Dirichlet Allocation
Abstrak: Media sosial merupakan sebuah platform yang penggunanya dapat berbagi pandangan, ide, perasaan, dan emosi mengenai suatu konteks peristiwa atau hal yang sedang terjadi saat itu. Dengan adanya media sosial Twitter, para pengguna dapat menyampaikan pendapatnya dengan mengikuti isu terkini yang sedang berkembang. Penelitian ini bertujuan untuk melakukan analisis topik menggunakan metode pemodelan topik Latent Dirichlet Allocation (LDA) sehingga diperoleh topik utama yang sedang ramai diperbincangkan. Pemodelan topik menghasilkan distribusi kata yang membentuk topik dan kumpulan dokumen dengan topik tertentu. Jumlah topik yang digunakan berbeda untuk masing-masing data yang diolah, berdasarkan pada konteks dari kumpulan tweet yang diakuisisi. Pemodelan topik menggunakan parameter yang sama untuk semua data kecuali parameter jumlah topik. Analisis topik dilakukan berdasarkan data keluaran hasil pemodelan topik dengan LDA. Analisis topik menghasilkan deskripsi topik yang dapat mewakili isi dari topik tersebut. Deskripsi topik dapat dimanfaatkan oleh pembaca atau pengguna Twitter dalam memahami segala perkembangan isu terkini.
Keyword: latent dirichlet allocation, pemodelan topik, Twitter

Judul: Topic Analysis of Twitter User About Covid-19 Vaccination in Indonesia Using Latent Dirichlet Allocation
Abstrak: Pandemi Covid-19 mendorong banyak pihak agar mampu beradaptasi dengan kondisi terkini. Salah satu program yang diluncurkan pemerintah agar dapat mengatasi penyebaran Covid-19 adalah dengan menjalankan progam vaksinasi. Agar dapat mengetahui animo masyarakat terkait program vaksinasi Covid-19 yang diluncurkan, perlu dilakukan analisis topik. Tujuan penelitian ini adalah mengetahui topik-topik terkait vaksin Covid-19 yang dibicarakan masyarakat di Twitter dan melakukan analisis sentimen pengguna Twitter terhadap vaksinasi corona. Untuk mendapatkan topik-topik pembicaraan terkait vaksin Covid-19 digunakan metode Latent Dirichlet Allocation (LDA). Metode penelitian yang dilakukan meliputi praproses data, pelabelan sentimen, penentuan jumlah, pemodelan topik, dan analisis topik. Hasil dari penelitian yang yang dilakukan adalah berupa topik-topik terkait vaksinasi Covid-19 yang sedang diperbincangkan di media Twitter di Indonesia. Tiga topik besar yang dibicarakan yaitu mengenai vaksinasi gratis oleh pemerintah Indonesia, sebab akibat mengikuti vaksinasi, dan varian vaksinasi., The Covid-19 pandemic has pushed many stakeholders to be able to adapt to the current conditions. One of the programs launched by the government to overcome the spread of Covid-19 is to run a vaccination program. To know the public's interest regarding the Covid-19 vaccination program that was launched, it is necessary to conduct a topic analysis. The purpose of this study was to find out the topics related to the Covid-19 vaccine that were discussed by the public on Twitter and to analyze the sentiments of Twitter users towards corona vaccination. To get topics of discussion related to the Covid-19 vaccine, Latent Dirichlet Allocation (LDA) method is used, while the Random Forest algorithm is used to carry out sentiment analysis. The research methods include data preprocessing, sentiment labeling, number determination, topic modeling, and topic analysis. The results of the research carried out are in the form of topics related to Covid-19 vaccination which are being discussed on Twitter media in Indonesia. The three major topics discussed were about free vaccination by the Indonesian government, the causes and effects of following vaccination, and vaccination variants.
Keyword: topic analysis, Covid-19, vaccination, LDA, Twitter

Judul: Mud Crab’s (Scylla serrata Forskal 1775) Response to Different Decaying Level of Gold Snail (Pomacea canaliculata Lamarck 1822) Bait.
Abstrak: Mud crab is well known as omnivorous-vigorous-voracious-opportunistic-scavenger. These intertidal animals applies mainly chemoreception in their predatory behaviour. It has been commonly assumed that non fresh gold snail bait is better than fresh bait in stimulating the mud crab. This research's aim is to analyze mud crab response to different decaying level of gold snail bait. Their response were observed as time required to touch the bait and pattern and direction of the mud crab in approaching the baits. The different decaying level of gold snail baits were shown on Total Volatile Base Nitrogen (TVBN) as 16.3 mg/100g (0 day); 534.1 mg/100g (3 days); and 887.4 mg/100g (6 days). The research was conducted from July 2009 until February 2011. The TVBN test for gold snail baits were conducted at Laboratory of BBPPHP Jakarta. The experiment was conducted in Pemalang. The result showed that the average period of mud crabs to touch the baits were 52.14 minutes; 61.57 minutes and 52.57 minutes. Anova test concluded no sufficient evidence of significant effect of TVBN content of gold snail bait on mud crab’s feeding behaviour. Movement pattern B, i.e. left and right deviation followed by straight forward movement to the bait, was commonly exhibited by the crabs. Consequences of time period required by the mud crab to approach the bait on fishing operation is discussed.
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