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EXPLORING AI AS YOUR ENGLISH LEARNING PARTNER: PELATIHAN PEMANFAATAN APLIKASI KECERDASAN BUATAN UNTUK MENINGKATKAN KETERAMPILAN BERBICARA BAHASA INGGRIS SISWA SMK TELKOM PEKANBARU Silvia Utami; Jumerli Ariati
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 5 No. 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5417

Abstract

Abstract: community service activity was conducted based on a request from SMK Telkom Pekanbaru to provide training on utilizing Artificial Intelligence (AI), specifically the ELSA Speak and Gliglish applications. These applications were introduced as a creative solution to enhance students' English language skills, particularly speaking proficiency. The training targeted 42 students from the Office Management, Accounting, and Hospitality majors. ELSA Speak and Gliglish, accessible via smartphone, were used as personalized learning aids to practice speaking skills relevant to the world of work. The main objective was to equip students with the ability to independently use AI tools for English conversation practice, ensuring they are better prepared for professional communication needs after graduation, aligning with the demands of the industry 4.0 era. The training utilized a Participatory Action Research (PAR) approach through an interactive seminar conducted in three sessions, focusing on guided practice and immediate feedback mechanisms provided by AI. The overall evaluation, conducted using a satisfaction questionnaire, showed the activity achieved a "Very Satisfied" criteria with an average score of 4.59. This result confirms the high acceptance and perceived relevance of AI-based language learning among vocational students. Keywords:  ELSA Speak, Gliglish, English Language, Speaking Skill, Artificial Intelligence (AI) Abstrak:Kegiatan pengabdian masyarakat ini dilaksanakan berdasarkan permintaan dari SMK Telkom Pekanbaru untuk memberikan pelatihan tentang pemanfaatan kecerdasan buatan (AI), khususnya aplikasi ELSA Speak dan Gliglish, sebagai solusi kreatif dalam meningkatkan kemampuan berbahasa Inggris siswa, terutama keterampilan berbicara. Pelatihan ini ditujukan kepada 42 siswa dari jurusan Manajemen Perkantoran, Akuntansi, dan Perhotelan. Aplikasi ELSA Speak dan Gliglish diperkenalkan sebagai alat bantu belajar mandiri yang dapat diakses melalui smartphone untuk melatih percakapan Bahasa Inggris yang relevan dengan dunia kerja. Tujuan utama kegiatan ini adalah untuk membekali siswa dengan kemampuan menggunakan aplikasi AI secara mandiri sebagai sarana latihan percakapan Bahasa Inggris, sehingga meningkatkan kesiapan mereka dalam komunikasi profesional setelah lulus, sejalan dengan tuntutan era Industri 4.0. Metode pelatihan yang digunakan adalah Participatory Action Research (PAR) melalui seminar interaktif yang dilakukan dalam tiga kali pertemuan, menekankan praktik terpandu dan mekanisme umpan balik seketika dari AI. Hasil evaluasi secara keseluruhan, yang dikumpulkan melalui kuesioner kepuasan, menunjukkan kegiatan ini memperoleh kriteria "Sangat Puas" dengan skor rata-rata 4.59. Hasil ini mengkonfirmasi tingginya penerimaan dan relevansi alat belajar berbasis AI di kalangan siswa SMK. Kata Kunci : ELSA Speak, Gliglish, Bahasa Inggris, Keterampilan Berbicara, Kecerdasan Buatan (AI)
INITIALISMS IN GEN Z TWITTER (X): A QUALITATIVE ANALYSIS OF MORPHOLOGICAL PATTERNS AND COMMUNICATIVE FUNCTIONS Silvia Utami; Tengku Nindy Ananda Putri; Dita Indah Sari; Assyifa Queen `Zahabya
Acceleration: Multidisciplinary Research Journal Vol. 3 No. 4 (2025): Acceleration: Multidisciplinary Research Journal
Publisher : PT Akselerasi Karya Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70210/amrj.v3i4.189

Abstract

This study investigates how Generation Z constructs and uses initialisms in Twitter (X), focusing on their morphological patterns and communicative functions. While previous studies have highlighted the social meanings of abbreviations in digital discourse, limited attention has been given to the systematic morphological structures underlying initialism formation and their functional roles within a single platform-specific context. Using a qualitative descriptive design, the data were collected through purposive sampling of publicly accessible Gen Z tweets posted between October and December 2025. Screenshots of posts containing initialisms were documented and analyzed using content analysis. The findings reveal 85 distinct initialisms, classified into Non-Elliptical (68 forms), Elliptical (12 forms), and Non-Alphabetic (6 forms). Non-elliptical forms dominate, reflecting Gen Z’s reliance on fully abbreviated, letter-by-letter constructions that support rapid processing and platform efficiency. Across all categories, initialisms serve key communicative functions, operating as pragmatic tools for stance-taking, emotional signaling, identity construction, boundary marking, and interaction management that strengthen in-group belonging and facilitate high-speed digital interaction. This study contributes to contemporary discussions on digital morphology and Gen Z sociolinguistics by showing how compressed linguistic forms evolve in response to platform constraints and social dynamics. The implications highlight the need to recognize initialisms as a central component of emerging internet-mediated language change.