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Pengaruh Beban Kerja dan Lingkungan Kerja terhadap Kualitas Pelayanan Restaurant di Hotel Movenpick Resort and Spa Jimbaran Bali Asmara, I Made Pebri; Siwantara, I Wayan; Yasa, Gede Sedana Wibawa
Bisman - Jurnal Bisnis & Manajemen Vol 8 No 2 (2023): Desember
Publisher : P3M- Politeknik Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32511/bisman.v8i2.1208

Abstract

Penelitian ini bertujuan untuk mengukur pengaruh beban kerja dan lingkungan kerja terhadap kualitas pelayanan restaurant di Hotel Movenpick Resort and SPA Jimbaran Bali setelah terjadinya pandemi COVID-19. Penelitian ini menggunakan teknik pengumpulan data seperti observasi, wawancara, kuesioner dan studi kepustakaan. Data yang dikumpulkan dianalisis menggunakan teknik analisis data deskriptif kuantitatif. Hasil penelitian adalah terdapat pengaruh positif dan signifikan antara beban kerja dan lingkungan kerja terhadap kualitas pelayanan restaurant pada Hotel Movenpick Resort & Spa Jimbaran Bali secara parsial. Hubungan koefisien korelasi antara beban kerja dan lingkungan kerja terhadap kualitas pelayanan restaurant dalam kategori kuat. Kemudian, beban kerja dan lingkungan kerja juga berpengaruh secara simultan terhadap kualitas pelayanan restaurant pada Hotel Movenpick Resort & Spa Jimbaran Bali. Implikasinya, setelah masa pandemi COVID-19, manajemen Hotel Movenpick Resort & Spa Jimbaran Bali harus mampu mengelola beban kerja yang diberikan kepada karyawan. Keseimbangan antara beban kerja dengan kemampuan karyawan dapat meningkatkan kualitas kerja dan memberikan kontribusi positif terhadap kinerja karyawan. Sementara itu, lingkungan kerja yang menyenangkan juga diakui sebagai faktor penting dalam meningkatkan kepuasan karyawan dan produktivitas.
Artificial Intelligence in Financial Decision-Making: Opportunities and Challenges for Investment Strategies Sugiarto, Hendro; Masruchan; Siwantara, I Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1140

Abstract

This study conducts a systematic literature review to explore the integration of artificial intelligence into financial decision-making, particularly in the context of investment strategies. Drawing from 52 peer-reviewed journal articles published between 2018 and 2024, the review identifies key application areas of AI in finance, including portfolio optimization, risk management, algorithmic trading, robo-advisory services, and sentiment analysis. The findings highlight the strategic benefits of AI, such as enhanced decision accuracy, operational efficiency, and increased financial inclusivity. However, the study also underscores significant challenges, including lack of model explainability, algorithmic bias, data privacy concerns, and regulatory uncertainty. These dual dimensions emphasize the need for ethical governance, transparent model design, and interdisciplinary collaboration to maximize the benefits of AI in investment contexts. The study concludes by outlining future research directions, particularly the integration of ESG factors, adaptation to emerging markets, and long-term impact assessments of AI-driven strategies.
Artificial Intelligence in Financial Decision-Making: Opportunities and Challenges for Investment Strategies Sugiarto, Hendro; Masruchan; Siwantara, I Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1140

Abstract

This study conducts a systematic literature review to explore the integration of artificial intelligence into financial decision-making, particularly in the context of investment strategies. Drawing from 52 peer-reviewed journal articles published between 2018 and 2024, the review identifies key application areas of AI in finance, including portfolio optimization, risk management, algorithmic trading, robo-advisory services, and sentiment analysis. The findings highlight the strategic benefits of AI, such as enhanced decision accuracy, operational efficiency, and increased financial inclusivity. However, the study also underscores significant challenges, including lack of model explainability, algorithmic bias, data privacy concerns, and regulatory uncertainty. These dual dimensions emphasize the need for ethical governance, transparent model design, and interdisciplinary collaboration to maximize the benefits of AI in investment contexts. The study concludes by outlining future research directions, particularly the integration of ESG factors, adaptation to emerging markets, and long-term impact assessments of AI-driven strategies.
The influence of leadership style and work environment on the performance of front office department employees at The Laguna Hotel, Nusa Dua Handojo, Eleonora Angelika; Marheni, Lily; Siwantara, I Wayan
Kajian Pendidikan, Seni, Budaya, Sosial dan Lingkungan Vol. 2 No. 2 (2025): September 2025
Publisher : Yayasan Mitra Persada Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58881/kpsbsl.v2i2.132

Abstract

This study aims to analyze the influence of leadership style and work environment on employee performance in the Front Office Department of Hotel The Laguna, Nusa Dua. The research background indicates existing issues related to the new leadership style and a perceived unconducive work environment in the department, which potentially affect performance. This research employed a quantitative approach with leadership style (X1) and work environment (X2) as independent variables, and employee performance (Y) as the dependent variable. The study's population consisted of all 30 employees of the Front Office Department at Hotel The Laguna, Nusa Dua. A census sampling technique (saturated sample) was used, where the entire population served as respondents. Primary data were collected through online questionnaires disseminated via Google Forms. Data analysis was performed using multiple linear regression analysis with the aid of IBM SPSS Statistics version 27 software, preceded by data quality tests (validity and reliability) and classical assumption tests (normality, multicollinearity, heteroscedasticity, linearity). The results indicate that: (1) Leadership style does not significantly affect the performance of Front Office employees, thus Hypothesis 1 is rejected. (2) The work environment positively and significantly affects the performance of Front Office employees thus Hypothesis 2 is accepted. (3) Leadership style and work environment simultaneously (together) positively and significantly affect the performance of Front Office employees thus Hypothesis 3 is accepted.