http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10792 2026-04-05T17:28:30Z 2026-04-05T17:28:30Z Gunawan Thi, Lip Sam http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10818 2023-07-04T21:00:58Z 2023-06-20T00:00:00Z

Exploring the Association between Mobility Fluctuations and Socioeconomic Indicators Using Data Mining Techniques in Indonesia and Malaysia Gunawan; Thi, Lip Sam Human mobility has become a global issue during the Covid-19 pandemic and is believed to be a critical factor in the transmission of Covid -19. The timetable for the government's movement control has stimulated the fluctuation of national mobility. However, the characteristics of variations between regions of the country are not yet understood. The purpose of this study was to characterise community mobility fluctuations in Indonesia and Malaysia and identify the association between socioeconomic indicators and mobility fluctuations in regions. This secondary and exploratory research investigated 34 Indonesian provinces and 14 Malaysian states. Data mining approaches using the CRISP-DM framework and the Knime Analytics platform was used. As a result, Indonesia and Malaysia show the strength of mobility fluctuations in decreasing order: transit stations, workplaces, and residential areas. Malaysia shows higher mobility fluctuations than Indonesia, which may indicate the community's response to the Covid-19 pandemic. As socioeconomic indicators, Human Development Index (HDI), poverty rate, and labor force participation are associated with the fluctuation of mobility. Therefore, regions with high fluctuation in mobility will likely have high HDI, high labour force participation rates, and low poverty rates. High-mobility areas include capitals and other cities with high-density populations. This study provides evidence that socioeconomic indicators are determinants of mobility fluctuation during the pandemic. Regional governments may use the findings to anticipate community mobility and planning policies when similar pandemic conditions occur.

2023-06-20T00:00:00Z Ogalisco, Reika Joan Dominguez Agustin, Lloren Joy Oliva San Sayno, Florie May Ferrer Lamug, Gehana Dans http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10813 2023-07-04T21:00:54Z 0023-06-01T00:00:00Z

Admission and Retention Requirements of the Bachelor of Science in Accountancy Program in Camarines Norte State College: Ogalisco, Reika Joan Dominguez; Agustin, Lloren Joy Oliva San; Sayno, Florie May Ferrer; Lamug, Gehana Dans Curricular programs should be responsive to industry demands not only locally but globally in this day and age. The study was conducted to assess the existing admission and retention requirements of the Bachelor of Science in Accountancy (BSA) Program at Camarines Norte State College. The study used a descriptive research design. The study revealed that the majority of respondents chose BSA as their first choice during the testing and admission stages, had 91-95 grades in high school, have English, Mathematics, and CNSC entrance examination grades within 86 to 90. Findings also show that compliance with the requirements prescribed by the institution and the program is the most effective admission requirement while taking a qualifying examination and obtaining at least 75 percent in all accounting subjects taken is the most effective retention requirement. The major challenge encountered is heavy academic pressure. It is suggested that the administration conduct special qualifying examinations and provide other accounting-related courses. Keywords: Admission and retention requirements, Policy enhancement, Accountancy program, Industry demands, Challenge.

0023-06-01T00:00:00Z Olano, Randy Gamelong Palao, Omar Libarra http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10812 2023-07-04T21:00:52Z 0023-06-01T00:00:00Z

The Effects of the Pandemic on the Selected Hotel Industry in Puerto Princesa City, Palawan Olano, Randy Gamelong; Palao, Omar Libarra Puerto Princesa City is one of the most popular tourist sites in the nation. The City encompasses the east coast, which faces the Sulu Sea, and the west coast, which faces the West Philippines Sea and is located in the province of Palawan's center. It occupies a vast tract of land characterized by a high forest cover set in a chain of mountain ranges home to diverse flora and fauna. Its imposing mountains and lush rainforests ensure adequate coordination from the Department of Trade in the industry in helping the hospitality industry watershed, where water overflows into life-giving rivers, waterfalls, and streams. The study generally aimed to ascertain the Pandemic's effects on the chosen hotel sector in Puerto Princesa City, Palawan, and to develop a basis for developing recovery strategies. It was conducted in twenty hotels on the initiatives and interventions of the government during this covid-19 Pandemic. Henceforth, on the perceived recovery strategies by the hotel owners/managers, the hotel suggested adopting digital solutions, pricing tactics, and safety protocols that fit in this new normal. Keywords: Hospitality industry, Pandemic, New normal, Covid19, Recovery strategies

0023-06-01T00:00:00Z Sarker, Shoun http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10811 2023-07-04T21:00:38Z 0023-06-01T00:00:00Z

The Effect of Meteorological Conditions on the Stock Market Sarker, Shoun This paper tries to explore the consequence of meteorological conditions on the stock market of Bangladesh by using several econometric techniques like the Ordinary Least Squares (OLS) model, General Autoregressive Conditional Heteroskedastic (GARCH) model, and Cross-correlation analysis of daily data for the period of 2018-2021. Exploration from the OLS model, the temperature is positively related to daily returns, daily turnover value, and daily market cap value; humidity is positively related to turnover value only. From cross-correlation analysis, the positive association among daily returns, humidity, and temperature; positive association between market cap and temperature; positive association among turnover value, humidity, and temperature. From the GARCH model, statistically significant positive relationship between temperature and returns from the stock market; a statistically significant positive relationship among temperature, humidity, and turnover value from the stock market, and a statistically insignificant relationship among temperature, humidity, and market cap value from the stock market. This is the first attempt to analyze the effect of meteorological conditions (humidity and temperature) on the stock market of developing nations like Bangladesh with different econometric tools. By using the results of this paper, traders will think about their moods before trading onto the stock market; the regulatory body of the stock market will modify the trading system according to investors’ moods and meteorological conditions. Keywords: Meteorological conditions, Stock market, OLS, GARCH, Turnover value, Market capitalization.

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