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All Journal Ganaya: Jurnal Ilmu Sosial dan Humaniora Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan
Fajri, Farhan
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Religion Arts Humanities Economics, Econometrics & Finance Education Social Sciences Other

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The Effect of Arm Muscle Power Training on Long Service Skills in Extracurriculer Badminton Games Jufrianis, Jufrianis; Fajri, Farhan; Luthfi, Amir
Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Vol. 7 No. 1 (2024): Halaman Olahraga Nusantara (Jurnal Ilmu Keolahragaan)
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/hon.v7i1.14371

Abstract

This research is motivated by the fact that the long service skills performed by extracurricular student at SMA Negeri 2 Bangkinang Kota are not optimal and lack precision in their execution. The long service is the first stroke in the game of badminton and is considered part of the small ball sports category. Arm muscle power training is method to strengthen the arms using two exercises: push-ups and dumbbell higg swings, making it an effective method to improve long service skills. The research aims to determine the influence of arm muscle power training on long service skill. The research methodology employed in this is pre-experimental with a One Group pre-tets and post test design. Data was collected through purposive sampling with inclusion and excluxion criteria resulting in a sample size of 20 individuals. Data analysis utilized the Wilcoxon test and paired Sample T-test. Based on the statistical output “Test Statistics” it was found that the Asymp.Sig (2-tailed) value is 0.000. since 0.000 is less than < 0.05, it can be concluded that there is a significant difference between the pre- test amd post-test scores.in conclusion, this research demonstrates significant deifference between the pre-test and pos-test scores.in conclusion, this research demonstrates a significant influence of arm muscle power training on long service skills among extracurricular students at SMA Negeri 2 Bangkinang Kota.
Veronica's Artificial Intelligence (AI) Business Communication Strategy Analysis as My Telkomsel Customer Service Case Study of Telkomsel Customers in Bengkulu Fajri, Farhan; Misnawati, Desy
Ganaya : Jurnal Ilmu Sosial dan Humaniora Vol 8 No 2 (2025)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/ganaya.v8i2.3998

Abstract

Communication evolves alongside technological advancements, shaping how individuals and businesses interact. One of the most widely adopted innovations in recent years is Artificial Intelligence (AI), which has transformed various sectors, including customer service. This study examines the implementation of Veronika, an AI-powered virtual assistant in the MyTelkomsel application, as part of Telkomsel’s business communication strategy. The findings indicate that Veronika has significantly improved customer service efficiency, increasing response speed by up to 40% and reducing operational burdens on call centers. By integrating AI into digital platforms such as WhatsApp and MyTelkomsel, Telkomsel has enhanced accessibility and service flexibility for its customers. Additionally, Veronika’s adaptation of global AI technology to the local Indonesian context has created a more relevant and user-friendly experience, supporting changes in customer behavior as explained by Technological Determinism Theory. However, despite these advantages, challenges remain, particularly in service personalization and AI’s ability to understand complex queries, which affect user satisfaction. These limitations highlight the need for continuous technological improvements, particularly in Natural Language Processing (NLP) and customer interaction models. This research contributes to the ongoing discussion on AI-driven customer service, offering insights into its strategic benefits and limitations. By addressing existing challenges, companies can further refine AI applications to enhance digital engagement and customer loyalty. Future studies should focus on optimizing AI-human interaction to ensure a seamless, personalized customer service experience.
Co-Authors Jufrianis Luthfi, Amir Misnawati, Desy