4 research outputs found
Where does flood resilience grow? the flood environmental management and socioeconomic configurations of the smart environment model
The most common natural hazard in the world, flooding often damages Indonesia's economy and claims many lives and properties. This article explores the significance of flood environmental management and socioeconomic configurations to flood resilience. The Smart Environment Model (SEM) helps understand the flow of the theoretical framework of flood reliance growth. Methodology in this research uses the quantitative method with independent sample two tests to analyze different patterns of flood experience in Malang City. The Multinomial Logistic Regression statistical analysis is used to evaluate causal models in Smart Environment Model. The Smart Environment Model provides a framework for methodically analyzing flood learning from various events (socioeconomic and smart environment) to demonstrate how to apply the SEM model and as an initial attempt to explore the question, of the linking between environmental flood management and flood resilience. These two environments are characterized by contrasting levels of flood resistance. There are differences between these two village flood resistance, Glintung Village and Sukun Village. The result shows that the SEM model has factors that are socio-economics, smart learning environment, and ecological path which have a significant impact on flood environment management. On the other hand, external factors including mitigation and preparation, have a significant in flood resilience that have subsequently in flood environmental management patterns. The linking flood environmental management and Socioeconomic to nurture flood resilience in the Face of Climate Change
EVALUASI NIAT BERKELANJUTAN WAJIB PAJAK TERHADAP LAYANAN E�FILLING
This research develops for predicting the implementation of electronic tax filling
services using IS continuance intention model by Bhattacherjee (2001) which
modified added Delone and McLean (2003) variables: system quality, information
quality, and service quality. Bhattacherjee (2001) suggest that user�s continuance
intention is determined by their satisfaction with IS use and perceive usefulness.
It is an empirical study using purposive sampling and snowball sampling
judgments in data collection methods. The subject of this study was the taxpayer
who has tried or have been using e�filling system in DI Yogyakarta and Jakarta.
Analysis of data using SmartPLS 2.0.
The result of this research show that: there is a positive and significant
influence of user satisfaction on continuance intentio
Business Development Strategy on Heritage Culinary Tourism
Culinary has been designated by the Indonesian Tourism Ministry as a Culinary Tourism destination. The determination of culinary as a tourism destination is because of its durability (ability to maintain its business). Culinary Tourism is not affected by any circumstances, including Covid-19 pandemic. Research was conducted in order to identify and develop a strategic model carried out by culinary business owners in process of running their business to survive at least for 30 years. The research began by conducting an inventory of heritage culinary businesses in Malang City according to specified criteria, followed by conducting in-depth interviews with these business owners. The number of respondents were 168 people consisting of: culinary business owners in Malang city who have survived decades and even over generations and the Malang City Government. Analysis of durability of culinary business was based on Corporate Sustainable Longevity (CSL). The analysis results confirm that the CSL of culinary business in Malang City are categorized as low. The research suggestion for culinary business owners is design and implementation of post-crisis recovery and response strategies. Furthermore, other suggestions related to build resilience to deal with the future after crisis and make changes to the business landscape to achieve business sustainability