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A Comparative Study of Temporal Convolutional Network and Gated Recurrent Unit for Predicting Ethereum Prices Kiram, Saiful; Ula, Munirul; Kurniawati, Kurniawati
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.55

Abstract

This study compares the performance of the Temporal Convolutional Network (TCN) and Gated Recurrent Unit (GRU) models in predicting the price of Ethereum, which is important to support cryptocurrency investment strategies. With the high volatility of the cryptocurrency market, an accurate and reliable prediction model is needed. In this study, Ethereum's daily closing price data over four years was analyzed using TCN and GRU models to evaluate its predictive capabilities. Model accuracy is measured using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The results showed that the TCN model excelled in average accuracy with lower MAE and MAPE values, while the GRU model showed excellence in reducing the impact of large errors with smaller MSE values. This reflects TCN's superiority in capturing the overall pattern of price movements, while the GRU is more responsive to short-term price fluctuations. These findings demonstrate the potential of both models in cryptocurrency price forecasting, with their respective advantages. This research provides valuable information for investors and researchers in developing predictive strategies in dynamic financial markets. A combination of TCN and GRU models can also be explored to improve prediction performance in the future.
Globalisasi Budaya Musik Dangdut Koplo Melalui Media Tiktok (Pendekatan Komunikasi Lintas Budaya) Kiram, Saiful
Lisyabab : Jurnal Studi Islam dan Sosial Vol 4 No 1 (2023): Lisyabab, Jurnal Studi Islam dan Sosial
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Sekolah Tinggi Agama Islam Mulia Astuti (STAIMAS) Wonogiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58326/jurnallisyabab.v4i1.163

Abstract

Dangdut music is no longer a local and ancient culture but has become a global or international culture. This is because dangdut music has now become one of the popular cultures in the current millennial era and has been introduced to foreign countries by Indonesian youths. Music sociologist Prof. Andrew N. Weintarub also added that dangdut music is an original culture from Indonesia, not from other countries and has been found in various regions and has been well received by all groups as well as being a unifier. This study aims to describe and analyze the phenomenon of Dangdut Koplo Music Culture on Tiktok Media, especially in the account posts belonging to the boyband "NCT Dream" which contain Mendungdut Tanpo Udan dancing and accompanied by background music from the band "Ndarboy Genk" in the view of cross-cultural communication. The results of this study are that in this phenomenon there has been a process of cross-cultural communication, there are also characteristics of cultural globalization from David Held's theory, namely the expansion of social relations (Stretched Social Relations) and increased intensity of communication (Intensification of Flows), and there is a theory Culture from EB Taylor where "NCT Dream" has gained knowledge, artistry, and skills in dangdut koplo music culture, especially dancing and the song "Mendung Tanpo Udan" from various media, especially from the TikTok account "Ndarboy Genk" so that they become part of Indonesian society.