Article Per Year (5 Year)
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This Author published in this journals
All Journal International Journal of New Media Technology Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) The International Journal of Medical Science and Health Research
Sebastian, Sebastian
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Voice Control Turn-Based Role Playing Game Development Using Unity Speech Recognition Sebastian, Sebastian; Dirgantara, Harya Bima
IJNMT (International Journal of New Media Technology) Vol 10 No 2 (2023): IJNMT
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v10i2.3380

Abstract

This research endeavors to create and develop a turn-based role-playing video game utilizing speech recognition as an innovative means to introduce a novel experience in video games. The game is designed and implemented using the Unity game engine. The game prototype produced in this study is intended to provide a unique experience when playing games, namely using voice recognition to try to beat opponents. The researcher adopts the Extreme Programming methodology, compassing four stages: Planning, Design, Develop and Testing/Release. The culmination of this research is a turn-based role-playing game featuring speech recognition controls intended for Windows computers equipped with a microphone. The game offers players fresh and innovative gameplay by incorporating speech recognition. Based on the closed beta trial on three respondents, the result was that there was an influence from the playing room. Two words are difficult for the game to detect: "molten spear" with an average detection rate of 40% and "chakra magic" with an average detection rate of 33%.
Effect of Selepressin vs Placebo on Ventilator- and Vasopressor-Free Days in Patients With Septic Shock Muhammad Imam, Muhammad Imam; Sebastian, Sebastian
The International Journal of Medical Science and Health Research Vol. 2 No. 7 (2024): The International Journal of Medical Science and Health Research
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/7036j221

Abstract

Background: The exploration of the effects of selepressin versus placebo in patients experiencing septic shock is an emerging area of interest in critical care medicine. The literature surrounding this topic reveals a complex interplay between vasopressor use, patient outcomes, and potential complications associated with septic shock management. Literature Review: The literature surrounding the effects of selepressin versus placebo in patients with septic shock reveals a nuanced understanding of its potential benefits and limitations in critical care settings. The introduction highlights the significance of vasopressor management in septic shock and sets the stage for a detailed examination of selepressin's role, particularly its impact on ventilator- and vasopressor-free days. Conclusion: In conclusion, the literature suggests that selepressin presents a promising alternative to traditional vasopressors in the management of septic shock, particularly in its ability to maintain hemodynamic stability and potentially reduce the duration of mechanical ventilation. However, the variability in trial outcomes and the lack of significant differences in primary endpoints underscore the need for further research to clarify the role of selepressin in clinical practice. Continued exploration of its effects on secondary outcomes may provide valuable insights into optimizing treatment strategies for patients with septic shock.
Voice Control Turn-Based Role Playing Game Development Using Unity Speech Recognition Sebastian, Sebastian; Dirgantara, Harya Bima
IJNMT (International Journal of New Media Technology) Vol 10 No 2 (2023): IJNMT
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v10i2.3380

Abstract

This research endeavors to create and develop a turn-based role-playing video game utilizing speech recognition as an innovative means to introduce a novel experience in video games. The game is designed and implemented using the Unity game engine. The game prototype produced in this study is intended to provide a unique experience when playing games, namely using voice recognition to try to beat opponents. The researcher adopts the Extreme Programming methodology, compassing four stages: Planning, Design, Develop and Testing/Release. The culmination of this research is a turn-based role-playing game featuring speech recognition controls intended for Windows computers equipped with a microphone. The game offers players fresh and innovative gameplay by incorporating speech recognition. Based on the closed beta trial on three respondents, the result was that there was an influence from the playing room. Two words are difficult for the game to detect: "molten spear" with an average detection rate of 40% and "chakra magic" with an average detection rate of 33%.
ORGANIZATIONAL ADAPTATION STRATEGIES CONFRONTING ENVIRONMENTAL UNCERTAINTY IN THE MODERN BUSINESS ERA Sentoso, Antony; Sebastian, Sebastian; Setyawan, Agustinus
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 8 No 3 (2024): Edisi September - Desember 2024
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v8i3.4853

Abstract

In an era of business characterized by uncertainty and rapid change, organizations are required to adapt and innovate to maintain their relevance and competitiveness. This article focuses on the relationship between environmental uncertainty, organizational agility, and innovation in the hotel industry. The aim of this research is to analyze how technological developments, external factors, and adaptation strategies influence an organization's ability to cope with environmental uncertainty. We also explore the role of information technology and data analysis in helping organizations enhance their responsiveness to the changing dynamics of the business environment. The results of this research provide valuable theoretical and practical insights for organizational leaders and business practitioners to develop effective adaptation strategies and improve organizational performance in facing the challenges of a dynamic business environment.
The Impact Of Exchange Rate Volatility On Financial Performance (A Systematic Literature Review) Sebastian, Sebastian
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 7 No. 1 (2026): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v7i1.9737

Abstract

Exchange rate volatility continues to be a critical factor affecting financial performance, particularly within emerging markets. This systematic review of the literature synthesizes 41 peer-reviewed open-access studies published from 2011 to 2025, examining the connection between exchange rate fluctuations and financial outcomes at the firm-level or sectoral scales. The findings show that most studies identify a negative impact of exchange rate volatility on profitability, stock returns, and financial stability. However, the size and direction of this relationship depend on factors like firm size, export intensity, macroeconomic variables, and institutional quality. Five major thematic areas are identified in the review: directionality of effects, sectoral heterogeneity, macro-institutional moderators, methodological innovation, and regional distribution. The literature demonstrates a methodological shift toward hybrid econometric-machine learning models. These include GARCH-MIDAS, LSTM, and Transformer architectures. This review proposes a conceptual framework. It also outlines future research agenda emphasizing comparative regional analysis, sectoral deep dives, and policy transmission mechanisms. This study contributes to the literature through offering structured synthesis and strategic roadmap. It targets researchers and policy designers focused on financial risk management in volatile currency environments.
Co-Authors Dirgantara, Harya Bima Muhammad Imam, Muhammad Imam Sentoso, Antony Setyawan, Agustinus