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Learning The Indonesian Language And Culture as A Gateway to Intercultural Communication : Belajar Bahasa dan Budaya Indonesia Sebagai Pintu Gerbang Komunikasi Antarbudaya Turistiati, Ade Tuti; Ray Djayalaras Putra, Kevin; Sofwan Jauhari, Akhmad; Faikar Agung Ramadhan, Hafizh
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 3 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i3.26948

Abstract

This community service implements the Memorandum of Understanding between Amikom Purwokerto University and Huachiew Chalermprakiet University (HCU), Thailand. This community service initiative emphasises the importance of learning the Indonesian culture and language. This topic is important because HCU English study program students interact and communicate with students from other countries, including Indonesia. The training materials cover Indonesian culture, including knowledge of Indonesian traditions, customs, habits, traditional cuisine, traditional clothing, and the Indonesian language. In addition, this training also explains the position and role of English in Indonesia. During the training, participants learn and practice simple Indonesian language to communicate lightly with Indonesians in person and via social media. After completing the training, based on the evaluation provided via Google Forms, participants gain more knowledge and understanding of Indonesian culture and language.
Estimating Player Market Value in Virtual Leagues: A Clustering Approach Using Player Attributes for Metaverse Applications Turistiati, Ade Tuti; Monk, Lincoln James Faikar; Ramadhan, Hafizh Faikar Agung
International Journal Research on Metaverse Vol. 2 No. 2 (2025): Regular Issue June 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i2.28

Abstract

The advent of virtual environments, particularly within the Metaverse, has revolutionized the way sports simulations and virtual leagues operate. In these environments, understanding and predicting player market value is essential for optimizing team management, player scouting, and in-game strategies. This paper presents a clustering approach using K-Means to segment players based on their performance attributes and predict their market value in virtual leagues. The dataset includes various player attributes such as age, goals scored, assists, minutes played, and performance metrics like expected goals (xG) and expected assists (xA). The K-Means clustering algorithm was applied to partition players into three distinct groups based on their performance profiles. The results indicated that high-performing players, characterized by high goals scored, assists, and other key metrics, were grouped in one cluster, while lower-performing players were segmented into another. These clusters correspond to different player market values, with higher-performance clusters being associated with higher market value. The clustering analysis reveals significant patterns that can inform virtual league operations, including player trading, recruitment, and team-building strategies. The findings suggest that virtual league developers, managers, and gamers can leverage these clusters to make more informed decisions regarding player acquisitions and team compositions. Furthermore, the clustering results can be used to dynamically adjust player values based on their performance attributes, offering a realistic simulation of real-world sports economics. Future research may explore more advanced clustering techniques, such as hierarchical clustering, and expand the dataset to include additional attributes like player psychology or external factors like fan sentiment. Overall, this paper highlights the potential of clustering algorithms to enhance player market valuation and decision-making within virtual leagues.
Instant Personal Branding Calon Legislatif Melalui Instagram Nurhalimah, Nurhalimah; Turistiati, Ade Tuti
Jurnal Komunikasi Global Vol 8, No 2 (2019)
Publisher : Program Studi Ilmu Komunikasi FISIP Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jkg.v8i2.14971

Abstract

This research aims to analyze the personal branding of M. Yoridho Sinuraya, the legislative candidate for DPRD DKI Jakarta through Instagram. The theory of dramaturgy by Erving Goffman was used to find out personal branding strategy through the employment of the front and backstages of M. Yoridho Sinuraya as a legislative candidate for the Jakarta council (DPRP DKI Jakarta). Based on interviews and observation of Instagram account @sahabatyoridho, it showed that the front stage of M. Yoridho A. Sinuraya had the characteristics of being a friendly, young, pious, and populist man. Meanwhile, the back stage of M. Yoridho A. Sinuraya had characteristics as a young entrepreneur who was lack of interaction with other people and had a semi-formal appearance. The difference between the front and back stages of M. Yoridho A. Sinuraya made him take extra efforts to develop his personal branding, classified as an instant one.