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Travel Intention in Following of New Normal Era: The Role of Perceived Risk, Travel Motivation and Travel Constraints Puji Ratna Sari; Arief Helmi; Rita Komaladewi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 6, No 1 (2023): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v6i1.7472

Abstract

There are behavioral changes in tourism in the new normal era, so questions arise related to tourist behavior. The purpose of this study is to examine risk perception in influencing tourist intention to visit, what motivates tourists to have the intention to visit and whether travel constraints become obstacles in influencing tourist intention to visit. The gap in previous research and the lack of research on how the relationship between variables in the new normal era. This research is a quantitative research method. descriptive and verification on 235 respondents on Bali tourism in the new normal era using structural equation model analysis or SEM (Structural Equation Modeling) processed using smartPLS. The results showed that (1) perceived risk has a negative effect on travel intention (2) travel motivation push factors have a positive effect on travel intention (3) travel motivation pull factors have a positive effect on travel intention (4) travel constraints have a positive effect on travel intention. Perceived risk tends to be low, travel constraints are quite high, so travel motivation, especially pull factors, is very influential in increasing tourist travel intention.
SISTEM INFORMASI GEOGRAFIS POPULASI TERNAK MENURUT KABUPATEN/KOTA DAN JENIS TERNAK DI PROVINSI JAWA TENGAH PADA TAHUN 2022 Puji Ratna Sari; Bambang Agus Herlambang; Ahmad Khoirul Anam
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 1 (2024): Januari
Publisher : ADISAM PUBLISHER

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Abstract

Geographic Information System (GIS) plays a key role in managing livestock population data and planning the development of the livestock sector. In Central Java Province, the implementation of GIS-Livestock Population (GIS-LivPop) has successfully mapped the number of livestock populations based on geographical location, district/city, and livestock type in 2022. Through GIS technology, GIS-LivPop facilitates the mapping of the distribution of cattle, goats, sheep, chickens, and other livestock in the Central Java region. This data is an important source of information for planning, monitoring livestock diseases, supplying animal feed, and developing the livestock economy.