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POLITENESS OF SPEAKING IN WATAMPONE COMMUNITY (Ethnographic Research Communications In Kabupaten Bone, Sulawesi Selatan) Safar, Muh.; Akhadiah, Sabarti
INTERNATIONAL JOURNAL OF LANGUAGE EDUCATION AND CULTURE REVIEW Vol 1, No 1 (2015): June 2015
Publisher : PPs UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aimed to describe in detail about politeness of speaking in Watampone community. The focus of this research is politeness of speaking in Watampone community. The subfocus is politeness in terms of the principles of cooperative and cultural aspects of Watampone community. This study was a qualitative research by using ethnographyof communication method. The technigues and procedures of data collection were used such as observation, recordings and transcrips, and interviews. Based on data analysis, the politeness of speaking in Watampone community used inÂ formal in situation the first Watampone community apply the principles of cooperative and second, cultural aspects can be seen verbal and nonverbally.

Language Learning through AI Chatbots: Effectiveness and Cognitive Load Analysis Safar, Muh.; Anggraheni, Dini
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1346

Background. The use of AI chatbots in language learning has gained popularity due to their accessibility and ability to provide interactive practice. However, concerns regarding their effectiveness in improving language skills and the potential cognitive load they place on learners remain underexplored. With the increasing integration of AI in education, understanding how these tools impact language acquisition is critical for optimizing learning outcomes. Purpose. This study aims to evaluate the effectiveness of AI chatbots in language learning and analyze the cognitive load experienced by learners during chatbot interactions. Method. A mixed-methods approach was used, combining quantitative assessments of language proficiency before and after using an AI chatbot for a three-week period, with qualitative interviews to assess learner perceptions of cognitive load. Participants included 60 university students learning a new language. Results. The results indicate that AI chatbots significantly improved language skills, particularly in conversational fluency and vocabulary acquisition. However, a moderate level of cognitive load was reported by learners, primarily due to the need to simultaneously engage in real-time conversation and process feedback. While the cognitive load was not overwhelming, it varied based on individual learner characteristics, such as prior language proficiency and familiarity with AI tools. Conclusion. In conclusion, AI chatbots offer an effective method for enhancing language learning, particularly in improving fluency and vocabulary. However, managing cognitive load is crucial to maximizing their educational potential. Further research is recommended to explore adaptive chatbot designs that can tailor interactions to individual learner needs.

The Use of Clustering Model to Improve Poetry Writing Skills of SMP Negeri 4 Watampone, Bone Regency, Indonesia Safar, Muh.; Andi Srimularahamah; Arif Rahman Aulia Jamnawi; Fahri Akbar
Enigma in Education Vol. 1 No. 2 (2023): Enigma in Education
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/edu.v1i2.22

This research aims to describe the improvement of writing skills of students in class VIII B SMP Negeri 4 Watampone, Bone Regency through the use of clustering model. This research was conducted by pre-observation in class VIII B. The writing skills of students of class VIII B SMP Negeri 4 Watampone are still low or lacking. The targets to be given action are students of class VIII B SMP Negeri 4 Watampone in 2022/2023 academic year. This research is classroom action research. The research procedure was carried out in 2 (two) cycles and each cycle had 3 meetings. Each cycle consists of four stages, namely: planning, action implementation, observation, and reflection. The techniques of data collection in this classroom action research are observation, documents, student assignments and tests. The data analysis was conducted using qualitative and quantitative techniques. The criteria for success of classroom action is the test of writing poetry using the clustering model. The use of clustering models in learning to write poetry can improve the quality of the process and students’ learning outcomes. It shows that there is an improvement in the completeness of the ability to write poetry from pre-cycle as many as 12 or 36.4%, cycle 1 as many as 21 or 63.6% and cycle 2 as many as 33 or 100%. Based on the improvement in student learning completeness in each cycle, the use of the clustering model needs to be applied to the learning of writing poetry of students in class VIII B SMP Negeri 4 Watampone, Bone Regency.

The Use of Politeness Strategy and The Influence Factors in Political Talk Show Haryanto, Haryanto; Indriani, Novita; Safar, Muh.; Fansiska, Fini Widya; Dewi, Dyah Utami
Surakarta English and Literature Journal Vol 7 No 1 (2024): Volume 7 Number 1 February 2024
Publisher : Faculty of Language and Literature, University of Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52429/selju.v7i1.214

Maintaining etiquette in speech acts is a part of politeness strategies conducted in communication. This study aimed to describe the use of politeness strategies and the influence factors found in the political talk show of Mata Najwa. The research method employed a descriptive qualitative one as proposed by Brown and Levinson’s four politeness strategies. Face is indicated as an inherently political element in the theory of Goffman. The data is a dialogue transcription taken from Mata Najwa YouTube.on 18 October 2023. The techniques of collecting data were documentation by watching, listening, transcribing, reviewing the transcription, and selecting the speakers’ utterances. The data analysis involved identifying, and classifying utterances based on politeness strategies, analyzing frequency, interpreting the data, and drawing conclusions. The analysis of 193 utterances showed that 114 of them had positive politeness strategy data (59%), 34 had bald-on politeness strategy data (17,6%), 24 had negative politeness strategy data (12,4%), and 21 had off-record politeness strategy data (17,6%). The positive politeness method is the most commonly employed tactic. It suggests that the inclination toward familiarity between speakers and listeners as well as the sentiment to reveal people's individuality by lowering FTA in each phrase is generated by particular factors. That becomes a point for speakers to build and maintain relationships.

Language Learning through AI Chatbots: Effectiveness and Cognitive Load Analysis Safar, Muh.; Anggraheni, Dini
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1346

Background. The use of AI chatbots in language learning has gained popularity due to their accessibility and ability to provide interactive practice. However, concerns regarding their effectiveness in improving language skills and the potential cognitive load they place on learners remain underexplored. With the increasing integration of AI in education, understanding how these tools impact language acquisition is critical for optimizing learning outcomes. Purpose. This study aims to evaluate the effectiveness of AI chatbots in language learning and analyze the cognitive load experienced by learners during chatbot interactions. Method. A mixed-methods approach was used, combining quantitative assessments of language proficiency before and after using an AI chatbot for a three-week period, with qualitative interviews to assess learner perceptions of cognitive load. Participants included 60 university students learning a new language. Results. The results indicate that AI chatbots significantly improved language skills, particularly in conversational fluency and vocabulary acquisition. However, a moderate level of cognitive load was reported by learners, primarily due to the need to simultaneously engage in real-time conversation and process feedback. While the cognitive load was not overwhelming, it varied based on individual learner characteristics, such as prior language proficiency and familiarity with AI tools. Conclusion. In conclusion, AI chatbots offer an effective method for enhancing language learning, particularly in improving fluency and vocabulary. However, managing cognitive load is crucial to maximizing their educational potential. Further research is recommended to explore adaptive chatbot designs that can tailor interactions to individual learner needs.

Learning Pattern Analysis through Learning Analytics: Improving Language Learning in Ubiquitous Contexts Safar, Muh.; Santos, Luis
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1770

Background. The increasing use of technology in education, particularly application-based learning, has the potential to enhance language learning. Effective language acquisition relies on analyzing learning patterns to improve student engagement and outcomes. With the growing role of learning analytics, this research explores how technology can be applied to understand and improve language learning in a broader context. Purpose. The study aims to analyze language learning patterns through learning analytics and explore how technology can contribute to enhancing language learning in various contexts. Specifically, it focuses on identifying how different learning behaviors and engagement levels influence language proficiency. Method. A quantitative research approach was used, collecting data from 200 learners who utilized language learning applications. The data were analyzed to identify patterns in user engagement and learning behaviors, focusing on the relationship between time spent on different types of learning materials and language proficiency outcomes. Results. The findings reveal that learners who spent more time engaging with conversation and writing materials generally showed better language skills. In contrast, students with basic language proficiency were found to focus more on grammar and vocabulary materials. This suggests that more advanced learners benefit from interactive, communicative tasks, while beginners need a focus on foundational elements like grammar and vocabulary. Conclusion. The study concludes that language learning is more effective when it involves social and contextual interaction, rather than relying solely on passive methods like memorization. These findings offer valuable insights for the design of language learning applications that are more adaptive to student preferences, encouraging more personalized and engaging learning experiences. The research highlights the importance of considering different learning patterns to enhance the overall effectiveness of language learning technology.

Digital Skills Improvement for MSMEs in Rural Areas for Online Marketing Febrianty, Yenny; Awaludin, Dipa Teruna; Safar, Muh.; Kraugusteeliana, Kraugusteeliana; Suseno, Suseno
Unram Journal of Community Service Vol. 5 No. 3 (2024): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i3.692

This Community Service (PKM) aims to improve the digital skills of MSME actors in rural areas, especially in online marketing, through online training using the Zoom platform. This activity is motivated by the low digital skills of MSMEs in rural areas, which limits their access to the digital market. The method used is participatory action research (PAR), involving 30 MSME actors who are selected by purposive sampling. The training lasts four weeks and includes two weekly sessions, covering material on digital marketing, the use of social media, e-commerce, and marketing performance monitoring. The results showed a significant improvement in participants' digital skills, with an average pre-test score of 45 increasing to 80 on the post-test. Implementing the skills learned also resulted in an increase in engagement on social media by 40% and an increase in online transactions by 20%-30%. Participants gave positive feedback regarding the relevance of the training and the application of the skills taught. This activity fills the gap in previous research by focusing on practical strategies adapted to the conditions of MSMEs in rural areas. The main obstacle faced is the problem of internet connectivity, which needs to be considered in the next training. Overall, this activity has succeeded in increasing the competitiveness of MSMEs in the digital market

The Influence of Social Media on Language and Culture Change among the Young Generation Safar, Muh.; Rosalia, Olyvia; Firayani, Firayani
Kamara Journal Vol. 1 No. 4 (2025): KJ-FEBRUARY
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/atntdt39

This study examines the impact of social media on language and cultural changes among young generations. The research aims to analyze how the intensity of social media usage influences the emergence of slang, abbreviations, and borrowed words in daily communication, as well as how it accelerates the adoption of foreign cultural trends, shaping social norms and lifestyles. Using a quantitative approach, data were collected from 190 respondents through structured questionnaires. Several statistical tests, including validity, reliability, normality, multicollinearity, multiple regression, t-test, and ANOVA (F-test), were conducted to evaluate the relationships between variables. The findings reveal that social media significantly influences both language and cultural changes, with all tested hypotheses being statistically significant (p < 0.05). The regression model explains 56% of the variation in language and cultural changes (R² = 0.560). These results suggest that while social media fosters linguistic creativity and global cultural exposure, it may also contribute to the erosion of formal language use and local traditions. The study emphasizes the need for balanced digital literacy programs and cultural preservation efforts to mitigate potential negative impacts. Future research should explore long-term effects and additional influencing factors beyond social media.

Effectiveness of Blended Learning Model Assisted By Scholoogy to Improve Language Skills of Early Childhood Education Teachers Sukini, Sukini; Uluk, Embang; Masruchiyah, Nieke; Nurhayati4, R.; Safar, Muh.; Agustina, Ika; Sari, Windy Dian; Santosa, Tomi Apra
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 6 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i6.6226

This study aims to determine the influence of the Scholoogy-assisted blended learning model on improving language skills in prospective early childhood education teachers. This study is a quantitative research with a meta-analysis approach. The inclusion criteria in this study include a) research obtained through the Google Scholar database; DOAJ, ScienceDirect; Wos and Wiley, b) research must be indexed by the Science Technology and Index (SINTA), Web of Science or Scopus; c) the research topic must be relevant; d) the research was published in the 2021-2024 range; e) Research sample > 30 students. Analyze data with the help of JSAP applications. The results of this study concluded that the 23 studies analyzed obtained an effect size value (d = 1,081; Z = 9.685; p < 0.001) is included in the very high effect size category. These findings show that the Scholoogy-assisted blended learning model greatly affects language skills in early childhood education students. In addition, the application of the blended learning model assisted by schology is effective in helping to develop students' language skills in learning. This research is expected to contribute to the world of education and research in the future.

Prediction of Indonesian Learning Achievement Using Machine Learning Models Safar, Muh.; Anis, Nina
International Journal of Language and Ubiquitous Learning Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i1.1921

Background. Student learning achievement is one of the important indicators in assessing the effectiveness of education. Various factors such as student attendance and socioeconomic status have been known to affect learning outcomes. However, the influence of access to technology in the context of education in Indonesia has not been studied in depth. In today's digital era, access to technology is an important aspect that can support or hinder the learning process of students. Purpose. This study aims to analyze the influence of student attendance, socioeconomic status, and access to technology on student learning achievement. In addition, this study also aims to test the accuracy of machine learning models in predicting student exam results based on these variables. Method. This study uses a quantitative approach with the application of machine learning models, including linear regression and decision trees. The data used includes students' test scores, attendance levels, socioeconomic status, and access to technology devices and networks. Results. The results of the analysis showed that student attendance, socioeconomic status, and access to technology had a significant influence on learning achievement. The machine learning model applied is able to predict students' exam results with a high level of accuracy, demonstrating the effectiveness of this approach in educational analysis. Conclusion. This study emphasizes the importance of external factors, especially access to technology, in predicting student learning achievement. A more inclusive education policy is needed by expanding access to technology and educational facilities, in order to support the equitable distribution of learning quality in all circles.

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