PEMBERDAYAAN SISWA SMK PERHOTELAN DALAM SPEAKING BAHASA INGGRIS FRONT OFFICERS MENGGUNAKAN TEKNOLOGI APLIKASI BERBASIS PYTHON

Dian Christina; Ruri Hartika Zain; Annisha Dyuli Adha

doi:10.31764/jmm.v9i6.35626

PEMBERDAYAAN SISWA SMK PERHOTELAN DALAM SPEAKING BAHASA INGGRIS FRONT OFFICERS MENGGUNAKAN TEKNOLOGI APLIKASI BERBASIS PYTHON

Dian Christina, Ruri Hartika Zain, Annisha Dyuli Adha

Abstract

Abstrak: Keterampilan berbicara bahasa Ing,gris merupakan kemampuan penting bagi siswa SMK Perhotelan, terutama bagi mereka yang akan bekerja di bidang front office. Namun, pembelajaran di sekolah sering kali masih berfokus pada teori dan kurang memberikan kesempatan praktik berbicara secara aktif. Kegiatan pengabdian kepada masyarakat (PKM) ini bertujuan untuk memberdayakan siswa melalui pelatihan speaking berbasis aplikasi Python yang dirancang untuk melatih percakapan interaktif dalam konteks pelayanan hotel. Fokus dari pelatihan ini untuk meningkatkan soft skill siswa, terutama dalam hal komunikasi dan kepercayaan diri dalam berbahasa inggris. Kegiatan ini melibatkan 34 siswa jurusan Perhotelan yang mengikuti pre-test dan post-test, dengan 20 soal yang digunakan untuk mengukur peningkatan kemampuan berbicara mereka. Hasil analisis data menggunakan uji Wilcoxon menunjukkan nilai signifikansi < 0,001, yang berarti terdapat peningkatan kemampuan berbicara secara signifikan setelah pelatihan. Berdasarkan hasil posttest, kompetensi speaking siswa meningkat sebesar 17,5%. Hasil ini membuktikan bahwa penerapan teknologi berbasis Python efektif dalam meningkatkan kompetensi komunikasi siswa, serta relevan dengan kebutuhan dunia industri perhotelan.

Abstract: English speaking skills are crucial for vocational high school students majoring in Hospitality, especially for those who will work in the front office. However, learning in schools often still focuses on theory and lacks opportunities for active speaking practice. This community service activity (PKM) aims to empower students through Python-based speaking training designed to practice interactive conversations in the context of hotel services. The focus of this training is to improve students' soft skills, particularly in terms of communication and confidence in speaking English. This activity involved 34 students majoring in Hospitality who took pre-tests and post-tests with 20 questions used to measure improvements in speaking skills. Data analysis using the Wilcoxon test showed a significance value of < 0.001, indicating a significant improvement in speaking skills after training. Based on the post-test results, students' speaking competency increased by 17.5%. These results prove that the application of Python-based technology is effective in improving students' communication skills and is relevant to the needs of the hospitality industry.

Keywords

Student Empowerment; Vocational High School Hospitality; Speaking, Front Office; Python.

Full Text:

DOWNLOAD [PDF]

References

Akbar, A., & Mulyana, D. I. (2022). Optimasi Klasifikasi Batik Betawi Menggunakan Data Augmentasi Dengan Metode KNN Dan GLCM. Jurnal Aplikasi Teknologi Informasi Dan Manajemen (JATIM), 3(2), 92–101. https://doi.org/10.31102/jatim.v3i2.1577

Arisaputra, P., & Zahra, A. (2022). Indonesian Automatic Speech Recognition with XLSR-53. Ingenierie Des Systemes d’Information, 27(6), 973–982. https://doi.org/10.18280/isi.270614

Hamzah, I. (2021). The Development of Python’s Basic Programming Material for Vocational High School Students. International Journal of Social Science and Human Research, 04(04), 745–750. https://doi.org/10.47191/ijsshr/v4-i4-25

Iskandar, Djoko Nursanto, Nanaik Wuryani, Mufid Junaedi, & Syahrul Fauzi. (2025). Perancangan aplikasi parkir berbasis web dengan menggunakan bahasa pemrograman python, flask dan leaflet. INFOTECH : Jurnal Informatika & Teknologi, 6(1), 34–46. https://doi.org/10.37373/infotech.v6i1.1608

Junining, E., Alif, S., & Setiarini, N. (2020). Automatic speech recognition in computer-assisted language learning for individual learning in speaking. JEES (Journal of English Educators Society), 5(2), 219–223. https://doi.org/10.21070/jees.v5i2.867

Kholis, A. (2021). Elsa Speak App: Automatic Speech Recognition (ASR) for Supplementing English Pronunciation Skills. Pedagogy : Journal of English Language Teaching, 9(1), 01. https://doi.org/10.32332/joelt.v9i1.2723

Judijanto, L., & Naini, U. (2024). A Snapshot Of Indonesian Vocational Education And The 21st Century Skills Challenge. Indonesian Journal of Education (INJOE), 4(1), 804-815.

Lourensius Hendra Putra, Prasetya Putra Nugraha, & Abdul rohman marbun. (2025). Peningkatan Peluang Pariwisata Untuk Hunian Hotel Di Era Digital Melalui Pelatihan Pemasaran Digital Di Smk Harapan Bersama. Jurnal Padamu Negeri, 2(2), 175–184. https://doi.org/10.69714/jqty0410

Nuraini, W. R., Setyawan, M. A., & Pambayun, R. N. (2024). the Effect of Elsa Speak on Pronounciation of English Speaking At Vocational High School. English Language Teaching Methodology, 4(3), 499–511. https://doi.org/10.56983/eltm.v4i3.1683

Permatasari, S., & Lubis, Y. (2024). Enhancing Pronunciation Skills in Efl Students Through the Elsa Speak Application. Indonesian EFL Journal, 10(2), 205–212. https://doi.org/10.25134/ieflj.v10i2.10137

Rosa Triwardani dan Raysal Nur Azi, H. (2022). The Effectiveness of ELSA Speak Application to Improve Pronunciation Ability. Jurnal Fakultas Keguruan & Ilmu Pendidikan, 3(1), 28–33.

Sabanayagam, C., Xu, D., Ting, D. S. W., Nusinovici, S., Banu, R., Hamzah, H., Lim, C., Tham, Y. C., Cheung, C. Y., Tai, E. S., Wang, Y. X., Jonas, J. B., Cheng, C. Y., Lee, M. L., Hsu, W., & Wong, T. Y. (2020). A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations. The Lancet Digital Health, 2(6), e295–e302. https://doi.org/10.1016/S2589-7500(20)30063-7

Subawa, I. P. A., Damayanti, S. P., & Mahsar, L. (2025). Analisis Minat Siswa SMKN 4 Mataram Jurusan Perhotelan dalam Memenuhi Kebutuhan Tenaga Kerja di Industri Pariwisata Kota Mataram. Journal Of Responsible Tourism, 5(1), 193-204.

Suwanto, S., Zega, N., Fitri, A., & Siddik, M. (2025). Implementasi Softwere Python Terhadap Pembelajaran Matematika Tingkat SMA: Studi Literatur. Invention: Journal Research and Education Studies, 6(3), 306–314. https://doi.org/10.51178/invention.v6i1.2537

Taufan, G. T., Suharsono, D. D., & Kamal, M. (2024). Developing English Learning Application Model for Vocational High School Students. Journal of English in Academic and Professional Communication JEAPCO, 10(2), 107–122.

Zakaria, D., Muttaqin, M. H., Suranegara, G. M., Irawan, E. N., & Venica, L. (2022). The Training of Making Graphical User Interface (GUI) Using Python for Teachers and Students of Engineering Vocational School in Purwakarta. REKA ELKOMIKA: Jurnal Pengabdian Kepada Masyarakat, 3(3), 152–159. https://doi.org/10.26760/rekaelkomika.v3i3.152-159

Zakiah, I., Elang Gumelar, R., Education, E., & Anwar Banten, U. (2023). The Effect of English Language Speech Assistant (ELSA) Speak Application on Students’ Pronunciation Mastery at The Tenth Grade of SMAN 15 Pandeglang in Academic Year 2022/2023. Jurnal Pendidikan Tambusai, 7(3), 23109–23114.

DOI: https://doi.org/10.31764/jmm.v9i6.35626