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The Role Of Green HRM In Talent Management Development To Improve Employee Performance In Hospitality Companies Dyah Palupiningtyas; Retno Mulatsih; Sulistyowati; Andar Sri Sumantri
International Journal of Economics and Management Research Vol. 3 No. 1 (2024): April : International Journal of Economics and Management Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v3i1.185

Abstract

This qualitative study examines the role of green human resource management (HRM) in talent management development to improve employee performance in hospitality companies. Data was collected through interviews with hospitality company managers and analyzed using thematic analysis. The background establishes the importance of environmental sustainability in the hospitality industry and the emergence of green HRM. The results demonstrate that green HRM practices like sustainability training, rewards for green behaviors, and recruiting environmentally-conscious employees enable hospitality companies to attract and retain talented employees, developing their skills to drive guest satisfaction and financial performance.
Analisis Faktor Dominan yang Mempengaruhi Keselamatan Kapal Tugboat Mega Kariya Imani; Andar Sri Sumantri; Retno Mulatsih
Port Management and Maritime Administration Journal Vol. 1 No. 1 (2025): January : Port Management and Maritime Administration Journal
Publisher : Indonesian Maritime Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65428/portman.v1i1.48

Abstract

Ship safety is critical, particularly for operations involving tugboats in busy maritime environments like Cirebon Port, Indonesia.1 Despite strict regulations, annual safety targets are often unmet, prompting the need to assess key influencing factors.1 This study investigates the partial influence of four independent variables—Harbor Master's Role (X_1), Ship Seaworthiness (X_2), Ship Crew (X_3), and Shipping Navigational Aids (X_4)—on Tugboat Safety (Y) at Cirebon Port.1 Employing an associative quantitative method, data were collected via questionnaires distributed to 104 tugboat crew members (N=104).1 Multiple linear regression analysis revealed that all four variables have a positive and significant influence on Ship Safety (Y) (all t_{hitung} > t_{tabel} (1.984) and Sig. < 0.05).1 The variable Ship Crew (X_3) was found to be the most dominant factor, exhibiting the highest influence (\beta=0.352, t_{hitung}=4.160), confirming the pivotal role of human resources and competence in maritime safety.1 The regression model explained 50.1\% of the variation in Ship Safety (Y) (Adjusted\ R^2 = 0.501), with the remaining 49.9\% attributed to external factors, such as unpredictable weather and external policies (Suryani et al., 2018). Managerial implications recommend prioritizing the training and certification of crew members and rigorously enforcing Ship Seaworthiness checks, specifically regarding expired safety equipment.
Analisis Empiris Faktor-Faktor Kunci Penentu Keselamatan Pelayaran: Studi Kasus: Implementasi Manajemen di Pelabuhan Gresik Nur’aini Budi Cahyani; Retno Mulatsih; Andar Sri Sumantri
Port Management and Maritime Administration Journal Vol. 1 No. 2 (2025): July : Port Management and Maritime Administration Journal
Publisher : Indonesian Maritime Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65428/portman.v1i2.57

Abstract

Shipping safety is an essential prerequisite in global and domestic maritime operations. However, ship accident incidents remain an annual vulnerability, often caused by suboptimal safety systems. This study aims to analyze the partial effects of the Implementation of the International Safety Management (ISM) Code (X1), the Implementation of Shipping Navigation Aids (SBNP) (X2), Master's Responsibility (X3), and Crewing (X4) on Shipping Safety (Y) at Gresik Public Port, East Jawa. The method used is descriptive and quantitative analysis with multiple linear regression. The research population consists of ship crew members at Gresik Port, with a sample of 100 respondents selected through the Quota Sampling technique. The results of the regression analysis show the equation Y = -1.480 + 0.293X1 + 0.314X2 + 0.187X3 + 0.311X4 + \mu. The partial hypothesis test (t-test) confirms that all independent variables have a positive and significant effect on Shipping Safety. The most dominant variable influencing Shipping Safety is SBNP Implementation (X2) with a coefficient of 0.314, followed closely by Crewing (X4) with a coefficient of 0.311. The Coefficient of Determination (R^2) is 0.685, indicating that 68.5% of the variation in Shipping Safety is influenced by these four variables. These findings underscore the importance of investing in technology-based navigation infrastructure and enhancing the competence of maritime human resources in high-traffic operational areas.
Analisis Kemudahan, Kepercayaan, dan Publikasi Pengaruh Minat Tiket.Com Muhamad Difa Rizky Pradana; Retno Mulatsih; Wasi Sumarsono
Logistics and Supply Chain Insights Vol. 1 No. 2 (2025): September: Logistics and Supply Chain Insights
Publisher : Indonesian Maritime Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65428/login.v1i2.44

Abstract

This study analyzes the partial and simultaneous influence of four factors—Publication (X_1), Access Convenience (X_2), Perceived Ease of Use (X_3), and Trust (X_4)—on the dependent variable, Intention to Use/Purchase (Y) Tiket.com for airline ticket purchases in Semarang City.1 Using an associative quantitative method, data were collected from 100 Tiket.com users (N=100) and analyzed via Multiple Linear Regression (SPSS 25.0).1 The analysis confirmed that all four independent variables positively and significantly influence the Intention to Use (all t_{hitung} > t_{tabel} 1.98498).1 The variable Perceived Ease of Use (X_3) was identified as the most dominant factor, showing the highest regression coefficient (\beta = 0.375), suggesting that the intuitive and effort-free experience of the application is the primary psychological driver for adoption among Semarang users.1, The overall model demonstrated a very strong explanatory capability, with an Adjusted R^2 of 0.792. This means 79.2\% of the variation in Intention to Use Tiket.com is jointly explained by these four variables, with 20.8\% attributed to factors outside the model.1 Managerial implications suggest prioritizing user experience design, clear information presentation, and maintaining transaction security to convert high interest into committed use.