One of the pragmatic markers, which shows language impoliteness, is classified in phatic category. This research aims to analyze the phatic discourse particles serving as pragmatic markers of impoliteness. Therefore, the data in this research are the utterances containing phatic discourse markers showing linguistic impoliteness taken from the family of farmers, traders, fishermen, teachers, and noblemen. The data were gathered by employing the listening and speaking methods. The data gathering techniques are the recording and transcribing. The data are classified and analyzed using contextual method. This research indicates that there are 11 categories of phatic discourse markers showing pragmatic impoliteness. They are phatic markers of “kok”, “ah”, “hayo”, “mbok”, “lha”, “tak”, “huu”, “iih”, “woo”, “hei”, and “halah”. Every phatic category conveys a specific intention which is different from other phatic discourse markers.
Recently, we have been conducted synthesis of complex compounds of Fe(III)N’-(3- nitrobenzoyl)isonicotinohydrazideusing refluxing N’-(3 -nitrobenzoyl)isonicotinohydrazideas ligands and FeCl3.6H2O as the metal at 75 °C for 6 hours in ethanol. The synthesis results obtained82.45% recovery, and from the purity test are shown with a narrow melting range is 220-222°C. Based on identification with UV-Visible spectrophotometer, infrared spectrometer and Atomic Absorption Spectrophotometer (AAS) indicate that the complex compound have λmax of 272.00 nm, giving vibration of Fe-O at 495.1 cm−1 and 599.6 cm−1 with formula complex compounds, namely [Fe(C13H10N4O4(H2O)4)Cl3].10 H2O.
This study aims to develop learning media for writing scientific papers material using the Powtoon for SMA Kolese De Britto class XI Bahasa students. The focus of this research is to produce Powtoon media that developed in five stages. The five-stage were (1) the study of lesson plans and teaching materials; (2) the study of materials and sources of teaching materials; (3) media development; (4) expert validation; and (5) final product review. Product validation was validated by two experts, namely language learning experts and media experts. The Product was trialed on eighteen students of SMA Kolese De Britto class XI Bahasa. The results of product validation were obtained through quantitative descriptive calculations using a five-scale conversion basis. According to the product language learning expert, the validation of the media products is 4.44, the result of the media validation expert is 4.50, and the validation result by the students is 4.60. Based on the validation results, the media produced is excellent and can be used in learning.
In the lecture room there can be more than 30 students and not all of them get comfortable sitting positions, comfortable to look forward to, comfortable to see lecturers and comfortable to show what the lecturers say so students who sit in the front position and position behind are not the same understand the subject given by the lecturer. hence the purpose of the study is to describe the influence of seating in the lecture hall on the level of student achievement during lecture hours taking place using the Naive Bayes method, in order to find out whether students sitting in the front position will be more understanding than the sitting position at the back so that they can improve achievement scores . after gaining experience in occupying different seating positions, students are asked to fill out a questionnaire relating to the chosen seating position in each form. It is hoped that this study can determine the effect of understanding students or not on subjects based on seating position so that later the output of this system can be an evaluation material to improve student achievement.
This research was aimed to analyze the language change in Indonesian language. The analysis was focused on the Indonesian adjectives change found in social media (Instagram). This research was conducted by using qualitative method. The data of this study were the most common thirty adjectives found in social media especially Instagram. as the data source because most of young generations nowadays tend to use Instagram as a mean of communication. The researcher observed and chose the most common thirty adjectives found on Instagram by using an observation list. There were some techniques of data analysis performed, namely: determining, observing, choosing, translating, analyzing, and drawing conclusion. Based on the data analysis conducted, it was found that all the adjectives are changing into special terms which are totally different form the original words. Furthermore, language change is caused by the globalization and the interaction of people. It was also found that some of the words are changing into English. Abbreviation and contractions also occur in the process of language change.
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