DIU Journal of Business and Entrepreneurshiphttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/102024-03-29T07:12:11Z2024-03-29T07:12:11ZExploring the Association between Mobility Fluctuations and Socioeconomic Indicators Using Data Mining Techniques in Indonesia and MalaysiaGunawanThi, Lip Samhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/108182023-07-04T21:00:58Z2023-06-20T00:00:00ZExploring 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.
2023-06-20T00:00:00ZAdmission and Retention Requirements of the Bachelor of Science in Accountancy Program in Camarines Norte State College:Ogalisco, Reika Joan DominguezAgustin, Lloren Joy Oliva SanSayno, Florie May FerrerLamug, Gehana Danshttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/108132023-07-04T21:00:54Z0023-06-01T00:00:00ZAdmission 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.
0023-06-01T00:00:00ZThe Effects of the Pandemic on the Selected Hotel Industry in Puerto Princesa City, PalawanOlano, Randy GamelongPalao, Omar Libarrahttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/108122023-07-04T21:00:52Z0023-06-01T00:00:00ZThe 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
0023-06-01T00:00:00ZThe Effect of Meteorological Conditions on the Stock MarketSarker, Shounhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/108112023-07-04T21:00:38Z0023-06-01T00:00:00ZThe 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.
0023-06-01T00:00:00Z