Peningkatan Keterampilan Menulis Siswa Melalui Media Twitter dengan Metode Penelitian Tindakan Kelas pada Kurikulum Merdeka Belajar di SMP

Erna Budiarti

doi:10.61650/jptk.v2i1.284

Authors

Erna Budiarti Universitas Panca Sakti Bekasi, Indonesia

https://doi.org/10.61650/jptk.v2i1.284

Keywords:

Keterampilan Menulis, Penelitian Tindakan Kelas, Pendidikan SMP, Twitter, Kurikulum Merdeka Belajar

Abstract

Penelitian ini mengevaluasi penggunaan Twitter sebagai media pembelajaran untuk meningkatkan keterampilan menulis siswa kelas 8 di SMP Negeri di kota Y, dalam konteks Kurikulum Merdeka Belajar. Dengan metode penelitian tindakan kelas, penelitian melibatkan 30 siswa yang dipilih secara acak dan dilakukan dalam tiga siklus tindakan: perencanaan, pelaksanaan, observasi, dan refleksi. Setiap siklus memberikan wawasan tentang strategi pengajaran yang efektif dan tantangan yang dihadapi. Data dikumpulkan melalui tes menulis, wawancara mendalam, dan observasi partisipatif, dianalisis menggunakan pendekatan kualitatif dan kuantitatif. Hasil menunjukkan peningkatan signifikan dalam keterampilan menulis siswa, terutama dalam kreativitas, struktur argumentasi, dan variasi penggunaan bahasa, dengan peningkatan rata-rata skor sebesar 25%. Penelitian ini juga mengidentifikasi tantangan signifikan, seperti keterbatasan akses internet dan kebutuhan pelatihan lebih lanjut untuk guru. Rekomendasi untuk mengatasi tantangan ini termasuk peningkatan infrastruktur jaringan sekolah dan pelatihan intensif bagi pendidik. Dengan demikian, Twitter dapat menjadi alat pembelajaran yang efektif dan inovatif dalam mendukung Kurikulum Merdeka Belajar, asalkan ada dukungan infrastruktur dan pelatihan yang memadai. Penelitian ini menawarkan panduan praktis untuk guru dalam mengintegrasikan media sosial ke dalam kurikulum secara efektif.

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References

Ahmed, W., Das, R., Vidal-Alaball, J., Hardey, M., & Fuster-Casanovas, A. (2023). Twitter’s Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets. Journal of Medical Internet Research, 25. https://doi.org/10.2196/43497

Alhassun, A. S. (2022). A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter. Processes, 10(3). https://doi.org/10.3390/pr10030439

Altakhaineh, A. R. M., & Al-Jallad, M. Z. (2018). The use of twitter and facebook in teaching mechanics of writing to Arabic-speaking EFL learners. International Journal of Emerging Technologies in Learning, 13(9), 4–14. https://doi.org/10.3991/ijet.v13i09.8457

Arifin, Z., Saputra, A. B., & Jaenullah, J. (2024). Model Pembelajaran Berbasis Web (E Learning) Pada Pembelajaran PAI. Assyfa Journal of Multidisciplinary Education, 2.

Barnard, J. (2014). Live and public: One practitioner’s experience and assessment of Twitter as a tool for archiving creative process. Journal of Writing in Creative Practice, 7(3), 493–503. https://doi.org/10.1386/jwcp.7.3.493_1

Barnard, J. (2016a). Tweets as microfiction: On Twitter’s live nature and 140-character limit as tools for developing storytelling skills. New Writing, 13(1), 3–16. https://doi.org/10.1080/14790726.2015.1127975

Barnard, J. (2016b). Tweets as microfiction: On Twitter’s live nature and 140-character limit as tools for developing storytelling skills. New Writing, 13(1), 3–16. https://doi.org/10.1080/14790726.2015.1127975

Bogdanowicz, S., Cwynar, H., Zwierzchowska, A., Klamra, C., Kieraś, W., & Kobyliński, Ł. (2023). TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter. In J. Mikyška, de M. C, V. V Krzhizhanovskaya, P. M. A. Sloot, M. Paszynski, & J. J. Dongarra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 14074 LNCS (pp. 212–220). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36021-3_20

Bruns, A. (2019). Big Social Data Approaches in Internet Studies: The Case of Twitter. In Second International Handbook of Internet Research (pp. 65–81). Springer Netherlands. https://doi.org/10.1007/978-94-024-1555-1_3

Budiarti, E. (2024). Exploratory activities for early childhood: Utilizing smartphone technology to enhance early childhood creativity, effective? Assyfa Journal of Multidisciplinary Education, 1.

Budiarti, E., & Darmayanti, R. (2018). Is implementing digital learning media beneficial in stimulating early childhood literacy skills? Jurnal Caksana: Pendidikan Anak Usia Dini, 2, 188–201.

Budiarti, E., & Darmayanti, R. (2019). A 2010–2018 systematic literature review found that educational game tools aid early childhood learning. Jurnal Caksana: Pendidikan Anak Usia Dini, 2(2), 134–146.

Bui, K. T., Li, Z., Dhillon, H. M., Kiely, B. E., & Blinman, P. (2023). Scanxiety Conversations on Twitter: Observational Study. JMIR Cancer, 9. https://doi.org/10.2196/43609

Castillo-Toledo, C., Fraile-Martínez, O., Donat-Vargas, C., Lara-Abelenda, F. J., Ortega, M. A., Garcia-Montero, C., Mora, F., Alvarez-Mon, M., Quintero, J., & Alvarez-Mon, M. A. (2024). Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Frontiers in Psychiatry, 15. https://doi.org/10.3389/fpsyt.2024.1282026

Chen, S. (2021). A novel machine learning framework for comparison of viral COVID-19-related sina weibo and twitter posts: Workflow development and content analysis. Journal of Medical Internet Research, 23(1). https://doi.org/10.2196/24889

Darmawati, B., Darmayanti, R., & da Silva Santiago, P. V. (2024). Contemporary Mathematics Learning: Instagram-based math learning medium increased elementary school students’ math literacy. Journal of Teaching and Learning Mathematics, 1(2), 147–155.

Darmayanti, R. (2024). Programmed learning in mathematics education before and after the pandemic: Academics Integrate technology. Assyfa Learning Journal, 2(1), 40–56.

Darmayanti, R., Hariyadi, A., Kurniawati, W., & Anggraini, D. (2024). SI-Kepo Workshop: Online-Offline Scientific Writing Training for Raden Rahmad Mojosari Vocational School Teachers. Jurnal Inovasi Dan Pengembangan Hasil Pengabdian Masyarakat, 2(1).

Darmayanti, R., Nurhakim, M., Utsman, Y., & Amien, S. (2024). Historicity Muhammadiyah: What was the Idea of the Founder of Muhammadiyah as a “Progressive Islamic Movement?” Atthulab: Islamic Religion Teaching and Learning Journal, 9(1), 34–60.

Elkaim, L. M., Niazi, F., Levett, J. J., Bokhari, R., Gorodetsky, C., Breitbart, S., Alotaibi, F., Alluhaybi, A. A., Weil, A. G., Fallah, A., Alotaibi, N. M., & Ibrahim, G. M. (2022). Deep brain stimulation in children and youth: perspectives of patients and caregivers gleaned through Twitter. Neurosurgical Focus, 53(4). https://doi.org/10.3171/2022.7.FOCUS22276

Gabarron, E., Larbi, D., Dorronzoro, E., Hasvold, P. E., Wynn, R., & Årsand, E. (2020). Factors engaging users of diabetes social media channels on facebook, twitter, and instagram: Observational study. Journal of Medical Internet Research, 22(9). https://doi.org/10.2196/21204

Haanurat, A. I., Darmayanti, R., & Choirudin, C. (2024). Journal submission challenges: mentoring and training students in open journal system scientific paper publication. Jurnal Inovasi Dan Pengembangan Hasil Pengabdian Masyarakat, 1.

Harris, J. K., Hinyard, L., Beatty, K., Hawkins, J. B., Nsoesie, E. O., Mansour, R., & Brownstein, J. S. (2018). Evaluating the implementation of a twitter-based foodborne illness reporting tool in the city of St. Louis department of health. International Journal of Environmental Research and Public Health, 15(5). https://doi.org/10.3390/ijerph15050833

Hudha, A. M., & Edema, W. (2024). Edmodo learning media and meeting room help grasp simple and significant ones: Circulatory System. Assyfa Learning Journal, 1, 10–18.

Idris, N. O., & Adji, T. B. (2019). Classification of Radicalism Content from Twitter Written in Indonesian Language using Long Short Term Memory. ICICOS 2019 - 3rd International Conference on Informatics and Computational Sciences: Accelerating Informatics and Computational Research for Smarter Society in The Era of Industry 4.0, Proceedings. https://doi.org/10.1109/ICICoS48119.2019.8982498

Khan, A., Zhang, H., Boudjellal, N., Ahmad, A., Shang, J., Dai, L., & Hayat, B. (2021a). Election Prediction on Twitter: A Systematic Mapping Study. Complexity, 2021. https://doi.org/10.1155/2021/5565434

Khan, A., Zhang, H., Boudjellal, N., Ahmad, A., Shang, J., Dai, L., & Hayat, B. (2021b). Election Prediction on Twitter: A Systematic Mapping Study. Complexity, 2021. https://doi.org/10.1155/2021/5565434

Krueger, E. A., & Young, S. D. (2015). Twitter: A novel tool for studying the health and social needs of transgender communities. JMIR Mental Health, 2(2). https://doi.org/10.2196/mental.4113

Kusumaningsih, D., Darmayanti, R., & Latipun, L. (2024). Mendeley Software improves students’ scientific writing: Mentorship and training. Jurnal Inovasi Dan Pengembangan Hasil Pengabdian Masyarakat, 2(1).

Lia, R. J., Siddikk, A. B., Muntasir, F., Rahman, S. S. M. M., & Jahan, N. (2022). Depression Detection from Social Media Using Twitter’s Tweet. In Studies in Computational Intelligence (Vol. 994, pp. 209–226). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-87954-9_9

Lubis, M., Nurhakim, M., Amin, S., & Darmayanti, R. (2024). Empowering voices: Muhammadiyah journey through theology of al-ashr and ummah development. AMCA Journal of Religion and Society, 1, 11–20.

Malahayati, S. P., Farda, N. M., & Berlyanti, M. C. (2024). Flood Mapping Using Twitter Crowdsourcing Data with Rainfall Data Analysis (Case Study: Jakarta, January 2020). In A. Blanco, A. B. Rimba, C. Roelfsema, & S. Arjasakusuma (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 12977). SPIE. https://doi.org/10.1117/12.3009760

Martin, N. M., Poirier, L., Rosenblum, A. J., Reznar, M. M., Gittelsohn, J., & Barnett, D. J. (2022). Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic. Disaster Medicine and Public Health Preparedness. https://doi.org/10.1017/dmp.2022.207

Mas’odi, M., Hakim, M. N., Darmayanti, R., & Amien, S. (2024). Weaving Muhammadiyah educational hope: Implementation of behavior theory in the curriculum. AMCA Journal of Education and Behavioral Change, 4(1), 6–16.

Muhammad, I., Darmayanti, R., & Sugianto, R. (2023). Teori Vygotsky: Kajian bibliometrik penelitian cooperative learning di sekolah dasar (1987-2023). Bulletin of Educational Management and Innovation, 1(2), 81–98.

Ng, Q. X., Lee, D. Y. X., Yau, C. E., Lim, Y. L., Ng, C. X., & Liew, T. M. (2023). Examining the Public Messaging on ‘Loneliness’ over Social Media: An Unsupervised Machine Learning Analysis of Twitter Posts over the Past Decade. Healthcare (Switzerland), 11(10). https://doi.org/10.3390/healthcare11101485

Ng, Q. X., Lim, Y. L., Ong, C., New, S., Fam, J., & Liew, T. M. (2024). Hype or hope? Ketamine for the treatment of depression: results from the application of deep learning to Twitter posts from 2010 to 2023. Frontiers in Psychiatry, 15. https://doi.org/10.3389/fpsyt.2024.1369727

Nguyen, T. T., Criss, S., Allen, A. M., Glymour, M. M., Phan, L., Trevino, R., Dasari, S., & Nguyen, Q. C. (2019). Pride, love, and twitter rants: Combining machine learning and qualitative techniques to understand what our tweets reveal about race in the us. International Journal of Environmental Research and Public Health, 16(10). https://doi.org/10.3390/ijerph16101766

Nursaid, N., Nuraini, S., & Novitasari, D. R. (2024). How" influence" do media, facilities, and learning interests influence students’ economic learning outcomes? Assyfa Journal of Multidisciplinary Education, 1.

Owens, M. C., & Nussbaum, E. M. (2017). Twitter vs. Facebook: Using social media to promote collaborative argumentation in an online classroom. Journal of Interactive Learning Research, 28(3), 249–267. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049642115&partnerID=40&md5=2fb303fb9cf36ca58513cbe0e86caca5

Paskevicius, M., Veletsianos, G., & Kimmons, R. (2018). Content is King: An analysis of how the twitter discourse surrounding open education unfolded from 2009 to 2016. International Review of Research in Open and Distributed Learning, 19(1), 116–137. https://doi.org/10.19173/irrodl.v19i1.3267

Pudtal, A., & Sinthupinyo, S. (2017). An analysis of twitter in the passing of His Majesty King Bhumibol Adulyadej. International Journal of Machine Learning and Computing, 7(6), 187–193. https://doi.org/10.18178/ijmlc.2017.7.6.644

Purwaningsih, S. J., Budiarti, E., & Darmayanti, R. (2024). IMPLEMENTASI KURIKULUM MERDEKA DALAM MEMPERSIAPKAN MASA TRANSISI MEMASUKI SEKOLAH DASAR DI PAUD DINDA KIDS KOTA PEKAN BARU. Journal in Teaching and Education Area, 1(2), 191–201.

Qomariyah, S., & Darmayanti, R. (2023). Development of high school students’ mathematical reasoning ability instruments on three dimension material. JEMS: Jurnal Edukasi Matematika Dan Sains, 11(1), 249–260.

Said-Hung, E., Arce-García, S., & Mottareale-Calvanese, D. (2024). How Spanish educational researchers used Twitter/X as a platform to promote the dissemination of scientific knowledge: a descriptive study. Science Editing, 11(2), 124–133. https://doi.org/10.6087/kcse.336

Saragih, P. S., Witarsyah, D., Hamami, F., & MacHado, J. M. (2021). Sentiment Analysis of Social Media Twitter with Case of Large Scale Social Restriction in Jakarta using Support Vector Machine Algorithm. 2021 International Conference Advancement in Data Science, E-Learning and Information Systems, ICADEIS 2021. https://doi.org/10.1109/ICADEIS52521.2021.9701961

Sarlis, A. S., Sakas, D. P., & Vlachos, D. S. (2015). Twitter’s tweet method modelling and simulation. In G. Giannakopoulos, D. Kyriaki-Manessi, & D. P. Sakas (Eds.), AIP Conference Proceedings (Vol. 1644, pp. 339–347). American Institute of Physics Inc. https://doi.org/10.1063/1.4907856

Sefira, R., Setiawan, A., Hidayatullah, R., & Darmayanti, R. (2024). The Influence of the Snowball Throwing Learning Model on Pythagorean Theorem Material on Learning Outcomes. Edutechnium Journal of Educational Technology, 2(1), 1–7.

Solehudin, R. H., Budiarti, E., Hikmat, A., Gunawan, R., Habibah, N., & ... (2023). The Effect of Family Economy on Education Opportunities (Analysis of the Impact of Parents’ Irregular Income on Millennial Children’s Educational Opportunities in the DKI …. Migration Letters, 20(5), 1095–1107.

Solehudin, R. H., Corliana, T., Ridwan, W., & Budiarti, E. (2024). NARRATIVE OF IDENTITY POLITICS IN THE 2024 PRESIDENTIAL ELECTIONS OF THE REPUBLIC OF INDONESIA: CRITICAL DISCOURSE ANALYSIS. Journal of Law and Sustainable Development 12 (3), E3462-, 3462.

Suharsiwi, S., Solehudin, R. H., Budiarti, E., Zakaria, N. A., & Rohmah, S. (2024). Maritirukan Aku Bisa: Android application for learning social skills of children with social emotional barriers. Research and Development in Education (RaDEn), 4(1), 76–84.

Sulistiyowati, E. M., Suherman, W. S., Sukamti, E. R., Sriwahyuniati, F., Budiarti, R., & Pranoto, N. W. (2022). Development of Early Childhood Skills by Guiding Tests in Sports Rhythmic Gymnastics. International Journal of Human Movement and Sports Sciences, 10(2), 253–263. https://doi.org/10.13189/saj.2022.100216

Susetyarini, R. E., Baiduri, B., Darmayanti, R., Nuryami, N., Siregar, Y. S., Sahara, N., & Suprayitno, K. (2024). Learning Reform: Why does Behavioral Theory prevent interactive teaching? AMCA Journal of Community Development, 1, 43–50.

Talpada, H., Halgamuge, M. N., & Tran Quoc Vinh, N. (2019). An analysis on use of deep learning and lexical-semantic based sentiment analysis method on twitter data to understand the demographic trend of telemedicine. In J. Mothe, L. H. Son, & N. T. Q. Vinh (Eds.), Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/KSE.2019.8919363

Veletsianos, G., & Kimmons, R. (2016). Scholars in an increasingly open and digital world: How do education professors and students use Twitter? Internet and Higher Education, 30, 1–10. https://doi.org/10.1016/j.iheduc.2016.02.002

Waring, M. E., Schneider, K. L., Appelhans, B. M., Simas, T. A. M., Xiao, R. S., Whited, M. C., Busch, A. M., Evans, M. M., & Pagoto, S. L. (2016). Interest in a Twitter-delivered weight loss program among women of childbearing age. Translational Behavioral Medicine, 6(2), 277–284. https://doi.org/10.1007/s13142-015-0382-4

Winson, V. R. V, Arunkumar, V., & Rao, D. P. (2023). Exploring the Landscape of Teaching and Learning English as a Second Language in India. Assyfa Learning Journal, 2, 104–111.

Xue, J., Zhang, B., Zhang, Q., Hu, R., Jiang, J., Liu, N., Peng, Y., Li, Z., & Logan, J. (2023). Using Twitter-Based Data for Sexual Violence Research: Scoping Review. Journal of Medical Internet Research, 25. https://doi.org/10.2196/46084

Zhang, L.-F., & Li, C.-F. (2020). Research on hotspot mining method of twitter news report based on LDA and sentiment analysis. Proceedings - International Conference on Machine Learning and Cybernetics, 2020-December, 40–44. https://doi.org/10.1109/ICMLC51923.2020.9469557

Zhang, Y., Shirakawa, M., Wang, Y., Li, Z., & Hara, T. (2022). Twitter-aided decision making: a review of recent developments. Applied Intelligence, 52(12), 13839–13854. https://doi.org/10.1007/s10489-022-03241-9

Zhou, R., Xie, Z., Tang, Q., & Li, D. (2024). Social Network Analysis of e-Cigarette-Related Social Media Influencers on Twitter/X: Observational Study. JMIR Formative Research, 8. https://doi.org/10.2196/53666

Zhou, X., Song, S., Zhang, Y., & Hou, Z. (2023). Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research, 25. https://doi.org/10.2196/49753