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Keyword-Based Model of Teaching English for Adult Learners Susi Ekalestari; Sri Wulan; Dewi Nurmala; Nurhasanah Nurhasanah; Tristi Ananda
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.4146

Abstract

This study discusses the keyword-based model in learning English to for adult learners who in fact have little free time due to various activities but require the ability to communicate in English. Researchers are triggered to make this model because of their weakness in English, so they often have problems communicating with foreign partners. The research method adopted in this study is a qualitative method with descriptive analysis. "Descriptive analysis is an analysis used to analyze data by describing the data that has been collected as it is without intending to make conclusions that apply to the public or generalizations." (Sugiono. 2016). The instrument used for data collection in this study is a questionnaire. The model's effectiveness test is also carried out by looking at the increase or decrease in the respondents' English understanding of English language. The respondents of this study are lecturers and officers at the Islamic University of North Sumatra which are determined using purposive sampling. The findings of this study is an effective and efficient keyword-based model for adult learners because with a keyword-based model, learners do not need a long time to spend in learning English, so it does not cost too much considering they have little free time.
LAUGHTER INTERJECTION IN INDONESIAN ON WHATSAPP SOCIAL MEDIA Dewi Nurmala; Tengku Silvana Sinar
PROJECT (Professional Journal of English Education) Vol 5, No 4 (2022): VOLUME 5 NUMBER 4, JULY 2022
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/project.v5i4.p877-884

Abstract

The objective of the research is to seek the laughter interjection on WhatsApp social media. The data is taken from the conversations on WhatsApp social media. The data are analyzed using Natural Semantic Metalanguage (NSM) theory. The method used is a qualitative method. From the results of the study, it was found that there were several laughter interjections found in WhatsApp social media, namely laughter interjections hahaha, hehehe, wkwkwk, and hiks hiks hiks. The interjection of laughing hahaha indicates a sense of reluctance or discomfort and there is also a sense of humor felt by the speaker. While the laughter interjection hehehe shows the shame towards someone or feels bad because the speaker feels disturbing to others or feels reluctant to treat the interlocutor in the conversation. Then there is the laughter interjection wkwkwk which shows something that is considered very funny so that the speaker or interlocutor feels amused by the stated expression. Finally, there is an interjection of laughing hiks hiks hiks, which is a person's embarrassment about a statement of someone has said. Keywords:  Laughter Interjection, WhatsApp, Natural Semantic Metalanguage