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Intention to Visit Sustainable Tourism Destination After Covid 19 Pandemic Ekasari, Ayu; Pratomo, Luki Adiati; Rahayu, Fatik; Bangun, Cicilia; Hidayat, Darra Pradita
Business and Entrepreneurial Review Vol. 23 No. 1 (2023): April
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/ber.v23i1.16568

Abstract

This paper aims to investigate the antecedents of environmental attitude and its influence on intention to visit sustainable tourism destination, which is moderated by individual green value. Purposive sampling method was used to collect the data from 370 respondents. The data was analysed using structural equation model. Out of the four antecedents, environmental identity and enjoyment of nature positively influence environmental attitude that leads to intention to visit. Results also showed that individual green value moderates the influence of environmental attitude on intention to visit sustainable tourism destination. This research suggests sustainable tourism marketers to create message that form positive environmental attitude. This study offers a conceptual model that focusing on environmental attitude as a key variable that is widely proven to be the best predictor of intention.
Preventive Maintenance Scheduling with Age Replacement Method at CNG Station Bangun, Cicilia; Jalil, Abdul; Amperajaya, Derajat; Rasjidin, Roesfiansjah
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 2 (2022): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i2.260

Abstract

CNG Mother Station focused to distribute Compressed Natural Gas for various industries. In the period from December 2020 to November 2021, there were 40 breakdowns in the distribution process machine causing delays in distribution of CNG. Company has to pay attention to the maintenance scheduling for vulnerabl components. This study aims to determine Preventive Maintenance scheduling and calculating maintenance costs using Age Replacement method for the critical components. The results showed that the critical components are Air Supply’s Hose (ASH) and Double Nipple Stage 4 (DNS-4). The proposed optimal replacement time interval for the ASH is 20 days where 19 component replacements are scheduled in 1 year with a cost reduction up to 4.8% compared to existing. The optimal replacement time interval for DNS-4 components is 24 days, which is scheduled for 16 component replacements in 1 year with cost reduction up to 29.1% compared to existing.