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Factor Influencing Intention Repeat Tourism to Visit Singapore in New Normal based on Indonesia Traveler’s Chun Wang; Yang Zhu; Grida Saktian Laksito
International Journal of Business, Economics, and Social Development Vol 3, No 2 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v3i2.285

Abstract

The Covid-19 pandemic which has spread in various countries has a severe impact on all sectors in every country, especially the economic and tourism sectors. One of which is Singapore, which has closed access to foreign tourism with a lockdown policy and has progressively implemented a series of steps to reduce the risk of a wider spread of the COVID-19 pandemic in the community. Singapore has managed to maintain sustainable tourism over the years. Several tourist attractions in Singapore have resumed operations after being closed for several months. Indonesia was the market for the first largest source of income from tourism for Singapore for five consecutive years in 2016. This study aims to determine the perception of Indonesian travelers to return to tourism after the Singapore government reopened tourism to foreign countries. The research method used is quantitative, the sampling technique uses non-probability sampling and a sample of 285 respondents is obtained. The analytical tool used Path analysis and the hypothesis uses a significance test using the Partial Least Square Structural Equation Model (PLS SEM). The results of this study indicate that destination attractiveness, tourist motivation, accessibility, and risk perception can directly revisit the intention of Indonesian tourists to travel in Singapore. Then, destination attractiveness and tourist motivation can affect the revisit intention of Indonesian tourists to travel back to Singapore after the Covid-19 outbreak.
Integration and Innovation in Learning: A Comprehensive Study of Grade 10, 11, and 12 Students in Banten province Dede Irman Pirdaus; Grida Saktian Laksito; Yasir Salih
International Journal of Ethno-Sciences and Education Research Vol 4, No 1 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i1.562

Abstract

This research aims to evaluate curriculum transformation and integration of innovation in education in Banten province in the face of modern progress. Through a questionnaire to 50 high school students in grades 10 to 12, frequency distribution, class trends and the correlation between perceptions of innovation and skill improvement will be analyzed. The results show students' positive views towards the integration of innovation in all classes. A positive correlation was found between perceived innovation and skills improvement. Analysis of class trends revealed consistency of positive views across classes. Overall, the results of the analysis support students' acceptance of the integration of innovation in the curriculum and its impact on skill improvement.
Best Distribution Selection in Modeling the Interest Rate as a Random Modifier Fajry Ayu Kusumawati; Agung Prabowo; Agustini Tripena Br. SB; Grida Saktian Laksito
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.683

Abstract

The interest rate is seen as a random variable because the interest rate has an unpredictable nature or changes over time. This means that the interest rate cannot be anticipated in the future with a certain degree of certainty. Therefore, mathematical models are needed to predict the behavior and value of future interest rates. The models used in this study were interest rate, uniform distribution , and lognormal distribution. The data used in the study were interest rate data for 2014-2015 and sample data for uniform distribution. The resulting model in interest rate modeling as a random variable uses for uniform and lognormal distributions with the application of data and . The interest rate model as a uniformly distributed random variable is considered better with a smaller standard deviation, , and values compared to the lognormal distribution based on the data used.