Cyberbullying speech patterns among Indonesian studentsLanguage evidence is consulted in dealing with cyberbullying cases. Linguistic analysis is used to reveal the nature of speech and cyberbullying expressions that have legal implications. This study aimed to find the speech patterns used by students in cyberbullying, identify the features of insults in cyberbullying speech, and identify the legal implications of cyberbullying speech on social media. 504 speech data were collected from Facebook and Twitter from January to April 2020.  They were all written in social media accounts of Indonesian high school students. The cyberbullying speech data was analyzed qualitatively using forensic linguistics analysis, i.e., analyzing the linguistic aspects of social media speech data with linguistic theory, particularly speech act theory. Results of the linguistic analysis were then linked to the legal implication of the social media speech. The analysis shows that four general patterns of cyberbullying speech are found, Head Act, Head Act - Supportive Move, Supportive Move - Head Act, and Supportive Move - Head Act - Supportive Move. In addition, three features of insults in cyberbullying are found: the use of pejorative words or phrases, the use of words or phrases with negative connotations, and the use of 'reply' or 'mention' features. The patterns of cyberbullying speech found in this study indicate that the insulting effects of different word or phrase formulation vary. However, they all may have legal implications, especially the violations of Law of Information and Electronic Transaction (UU ITE), particularly Article 27 Paragraph (3) regarding insults and defamation.Keywords: cyberbullying, social media, speech act, insults, forensic linguistics Pola tuturan perundungan siber (cyberbullying) di kalangan pelajar IndonesiaAlat bukti kebahasaan sangat diperlukan dalam penangangan kasus perundungan siber. Pembuktian tuturan perundungan siber dilakukan melalui hasil analisis linguistik yang mampu menunjukkan hakikat pertuturan dan ekspresi perundungan yang berimplikasi hukum. Tujuan penelitian ini adalah menemukan pola tuturan yang digunakan oleh pelajar dalam melakukan perundungan siber, mengidentifikasi fitur ekpresi penghinaan yang terkandung dalam tuturan perundungan siber, dan mengidentifikasi implikasi hukum tuturan pada perundungan siber di media sosial.  504 data tuturan yang berasal Instagram dan Twitter diambil pada rentang waktu Januari hingga April 2020. Seluruh data tuturan tersebut ditulis oleh akun pelajar sekolah menengah di Indonesia. Analisis data kualitatif dilakukan untuk mengkonfirmasi data tuturan perundungan siber dengan telaah linguistik forensik, yakni menganalisis aspek kebahasaan data tuturan media sosial dengan teori linguistik, khususnya teori tindak tutur. Hasil analisis linguistik kemudian dihubungkan dengan aspek implikasi hukum dari tuturan media sosial tersebut. Berdasarkan hasil analisis, ditemukan empat pola umum tuturan perundungan siber, yaitu head act, head act - supportive move, supportive move - head act, dan supportive move - head act - supportive move. Selain itu ditemukan pula tiga fitur ekspresi penghinaan dalam tuturan perundungan siber, yaitu penggunaan kata atau frasa peyoratif, penggunaan kata atau frasa berkonotasi negatif, dan penggunaan fitur membalas (reply/mention). Pola tuturan perundungan siber yang telah ditemukan dalam penelitian ini menunjukkan perbedaan efek penghinaan yang ditimbulkan dari formulasi kata atau frasa, namun semua tuturan tersebut memiliki potensi implikasi hukum, khususnya pelanggaran UU ITE, utamanya pasal 27 ayat (3) tentang penghinaan dan pencemaran nama baik.Kata kunci: perundungan siber, media sosial, tindak tutur, penghinaan, linguistik forensik

The present study identified the learning outcomes of the program of Indonesian for foreigners (BIPA—Bahasa Indonesia untuk Penutur Asing) and the suitability between student learning outcomes and teaching materials of BIPA. The learning process of BIPA was conducted to improve four language competencies including listening, speaking, reading, and writing. Based on the 2016 and 2017 BIPA teaching reports, thirteen teachers assigned to teach BIPA to Thailand, Vietnam, Myanmar, France, and Russia were successfully able to improve the four language competencies of the students. Meanwhile, the suitability between student learning outcomes and teaching materials of BIPA indicated that: 1) sixty seven BIPA teachers were considered good at adjusting the learning to the teaching materials, 2) four BIPA teachers were rated fair in adjusting the learning to the teaching materials, and 3) ten BIPA teachers were considered poor in adjusting the learning to the teaching materials.

The purpose of this study was to determine the discursive representation of the word "lu" (you) in written speech on social media that has the potential to express cyber bullying. This research applied the methodology synergy of linguistic corpus and illocutionary speech act analysis. The data in this study included two corpus of cyber bullying taken from stories on several student community accounts on Twitter, Instagram, and Facebook in different periods (2012 and 2020). Analysis on words list and collocation was used to see patterns of using the word "lu" in expressing cyber bullying. Furthermore, concordance was used to deepen the analysis of speech acts and to see the data qualitatively. Based on the results of the corpus analysis, 48 patterns of use of the word "lu" were found. Based on the data analysis from the perspective of speech acts, there were five types of speech acts that appear and were dominated by assertive speech in the form of statements containing taunts and negative nicknames.

The degree of smoking habits in the urban community is still high, although carried out health promotion of harmful substances in cigarettes, one of which is cadmium (Cd). The dangers of cadmium in cigarette smoke causes harm to active and passive smokers. Increased exposure of cigarettes will lead to an increase in the burden of disease in groups at risk such as people with Diabetic Type 2 (DMT2). The purpose of this study was to determine the differences in levels of cadmium (Cd) in the blood of active smokers and passive smokers patients with DMT2 in Puskesmas Kedungdoro Surabaya. The type of this research is a comparative with cross-sectional study design conducted in the Toxicology Laboratory of the Department of Health Analyst and Research and Standardization Center of Industry in August 2020-May 2021. The independent variable in this study is active smokers and passive smokers patients with DMT2, and the dependent variable in this research is the content of cadmium (Cd) in the blood. Analysis of the levels of cadmium in the blood using Atomic Absorption Spectrophotometer by the method of acidifying carbon furnaces. The results showed range levels of cadmium in blood in 8 people suffer from Type 2 Diabetic as active smokers are 0.605-1.5535 µg/dL. While the range levels of cadmium in the blood of the 8 people who suffer from Type 2 Diabetic as passive smoking are 0.5648-2.7045 µg/dL. Based on the results of statistical tests using test Independent Sample T-Test, it can be concluded that there is no difference in the levels of cadmium (Cd) in active smokers and passive smokers patients with DMT2 in Puskesmas Kedungdoro Surabaya.

ABSTRACT The purpose of this study is to find out the discursive portrayal of the hashtag “tolakomnibuslaw” on Twitter, which reveals rejection of the Job Creation Law by applying the synergy of linguistic corpus method and illocutionary speech act analysis. The data of this research is a corpus based taken from the utterances of Twitter users who use the hashtag of  Omnibus Law Rejection (#tolakomnibuslaw) on October 8, 2020. Word lists and collocations analysis are utilized to see patterns of the hashtag used by people in expressing rejection of the Job Creation Law. Concordance is used to lean more the analysis of speech acts and study the data. The result show that there are 38 styles of the hashtag use. Most of them is the use of noun behind the hashtag “tolakomnibuslaw”. In addition, there are also five common topic hashtags included the hashtag “tolakomnibuslaw”.  From the perspective of speech acts, there are five types of speech acts that appear and are dominated by assertive speech and forms of criticism against government effort. Keywords:  linguistic corpus; social media; speech acts