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DETERMINING WATER CONDITIONS IN TAUNG THA MAN LAKE OF MANDALAY
No full textWater quality assessment is crucial for sustainable water resource management, particularly in urban areas with growing environmental pressures. This study evaluates the water conditions of the Taung Tha Man Lake in Mandalay, Myanmar, using time series analysis and Water Quality Index (WQI) models. Historical water quality data, including physicochemical parameters such as Water Temperature (WT), turbidity, pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Electrical Conductivity (EC),were analyzed to identify trends and variations. WQI model was applied to classify
water quality and assess its suitability for domestic and recreational use. The results reveal significant fluctuations in water quality, influenced by anthropogenic activities and seasonal changes. This study employs regression and correlation analysis to examine the relationship between key water quality parameters and the Water Quality Index (WQI). The analysis reveals turbidity as the strongest predictor of WQI demonstrating an exceptionally strong positive correlation. EC and DO also show significant positive associations with WQI, while WT, TDS, and pH exhibit negligible
impacts. The multiple regression model explains 97.9% of WQI variance, indicating excellent predictive power. The study identifies seasonal patterns in parameter influences, with turbidity emerging as a dominant year-round factor. These findings provide crucial insights for water quality monitoring programs, suggesting that focus on turbidity, EC, and DO measurements may offer efficient WQI estimation. The results highlight the need for parameter selection strategies that balance predictive accuracy with measurement practicality, particularly in resource-constrained monitoring environments. This analysis contributes to optimize water quality assessment frameworks by identifying the most influential parameters while cautioning against redundant measurements
ANALYSIS OF INPUT FACTORS EFFECTING ON GROUNDNUT PRODUCTION IN KAN THONE SINT VILLAGE, SHWEDAUNG TOWNSHIP
No full textIn Myanmar, many kinds of crops such as rice, wheat, cotton, various beans and pulses and other oilseeds are cultivated. Among them, oilseeds play an important role because almost everyone is using oil as an essential ingredient for cooking and it is the essential foods which are consumed every day by Myanmar people. Thousands of smallholder farmers in Myanmar grow groundnut for household food consumption and household income. This study analyzes the relationship between groundnut production inputs and outputs in Kan Thone Sint village. The study uses a descriptive statistics based on primary survey data and the Cobb-Douglas production function is applied to analyze the survey data. The majority of household heads among groundnut farmers are men, and most of them have attained a primary school level of education. In terms of production and inputs, armers producing 20-49 bushels and land utilization is mostly small-scale. According to the result of the Cobb-Douglas function, the coefficient of land, labour and capital are significant relationship between groundnut production. The value of return to scale was implies the presence of increasing return to scale. This paper suggests to enhance groundnut production in Kan Thone Sint village, farmers should adopt sustainable practices, improve access to education and training, secure financial support through microfinance and subsidies, and strengthen market linkages through cooperatives and infrastructure development
A STUDY ON SAFETY RISK PERFORMANCE IN THE CONSTRUCTION OF HIGH-RISE BUILDINGS IN MAYANGONE TOWNSHIP
No full textThe construction industry is a vital component of the economy in many countries. Despite its importance, the construction industry is considered a high-risk sector, with frequent and high accident rates among employees, particularly on current high-rise building construction sites. Therefore, this study aims to investigate the demographic characteristics of employees and analyze the factors affecting safety risk performance in the construction of high-rise buildings in Mayangone Township. Using a structured questionnaire, primary data were collected from 150 employees using a two-stage sampling method. The research employed both descriptive statistics and multiple regression analysis to identify the key factors influencing safety
performance. According to the multiple regression analysis results, technical, environmental, and psychological factors have a statistically significant and positive impact on safety risk performance. Among these, technical aspects such as equipment quality, maintenance, and adherence to safety protocols were found to be the most influential. Environmental conditions and the psychological well-being of workers also played critical roles in ensuring safer construction environments. The study concludes that improving technical management, environmental conditions, and psychological support systems is essential for enhancing safety outcomes in high-rise construction projects. Practical recommendations are made for contractors and site managers to focus on these areas while also suggesting that future research should explore refined economic indicators and broader organizational influences on construction safety
THE EFFECT OF SERVICES OF SACCOs ON MEMBERS’ SOCIOECONOMIC CONDITIONS IN MONYWA TOWNSHIP
No full textThis paper focuses on the study of Saving and Credit Cooperative Societies (SACCOs) in Monywa Township. The main objective of the study is to examine the socio-economic conditions of members among saving and credit cooperative societies in Monywa Township. The study was conducted by using both the primary and secondary data. The study utilized a sample 279 out of 1115 members from two Saving and Credit Co-operative Societies in Monywa Township. They were selected by using simple random sampling method. Data were collected with structured
questionnaires, and analyzed by multiple regression analysis and descriptive statistics. The study found that most of respondents save monthly money to meet financial needs for various purpose and have the good habit of saving. Saving and loan products of SACCOs are playing a vital role in meeting their financial needs. The multiple regression analysis indicated that saving services had the strongest influence on socio-economic conditions, followed by loan services, saving services and other support services. Findings reveal that SACCOs play a vital role in enhancing
members' financial stability and socio-economic well-being. From the fining result, it is recommended that all stakeholders from various sectors and any Government organizations should involve in saving and credit cooperative associations and encourage members to improve the socio-economic condition or well-being of the country
THE EFFECT OF VILLAGE REVOLVING FUND PROJECT (VRFP) ON SOCIO-ECONOMIC CONDITIONS OF RURAL HOUSEHOLDS IN KYAUKPADAUNG TOWNSHIP
No full textA village revolving fund project is community-based initiatives that empower villagers by providing access to capital for starting or expanding businesses, improving agricultural practices, or engaging in other income-generating activities.
The objectives of the study are to investigate the socio-economic conditions of Rural Households in Kyaukpadaung Township and to analyze the effect of Village Revolving Fund Project (VRFP) on socio-economic households’ conditions in Kyaukpadaung Township. Primary survey data were conducted by using constructed questionnaires. The simple random sampling method was used on the numbers of 196 households, who took loan of VRFP project fund out of 384 households by using Yamane formula. Descriptive statistics and multiple linear regressions method were
used in this study. The study found that occupation has a strong, highly statistically positive significant effect on the socio-economic conditions of households. These improvements could potentially increase user satisfaction and program effectiveness while maintaining the aspects that currently work well for most borrowers. Loan also has a positive relationship with socio-economic condition of households. Therefore, the government and the stakeholders of rural development institution should provide on enhancing occupational opportunities through skill development programs or supportive policies and simplifying loan procedures to enhance rural likelihoods
ANALYSIS OF SOCIO-ECONOMIC CONDITIONS IN AMARAPURA TOWNSHIP: (A CASE STUDY ON SHAN KA LAY KYUN VILLAGE)
No full textThis study analyzes the socio-economic conditions of Shan Ka Lay Kyun Village in Amarapura Township. The study aims to analyze changes in the socio-economic development status of Shan Ka Lay Kyun Village, Amarapura Township. The economic and social development of rural dwellers plays a crucial role in the overall development of the country. Both primary and secondary data are utilized in this research. Primary data was collected from Shan Ka Lay Kyun Village. Data were gathered from a random sample
of 315 households in Shan Ka Lay Kyun Village, which has a total of 1420 households. The analysis employs descriptive methods and a multiple regression model, utilizing both primary and secondary data. Occupations in the village include casual labor, civil service,
trading, and farming. Regarding the educational status of household heads, most have attained primary level education. The economic condition of the sampled households is generally good. The multiple regression model results indicate that household income,
family size, and loan acquisition significantly influence household expenditure. Due to their low educational attainment, the majority of household heads are engaged in casual employment
ANALYZING THE SATISFACTION OF INSURED WORKERS FROM THE SOCIAL SECURITY SCHEME
No full textThe study aims to identify the satisfaction of insured workers from the Social Security Scheme and to analyze the Satisfaction of Insured Workers from the Social Security Scheme.The primary data was collected from the 350 insured persons who have visited to SSB Clinics and SSB-Provider Clinics in Zabuthiri Township through a survey using structured questionnaires with five-point Likert Scale items and analyzed by multiple linear regression model. Out of 2400 insured workers, the sample size for the study is 350
insured workers which is determined by using the Yamane formula. This study reveals that the insured workers have satisfaction about the Social Security System, Social Security Schemes, healthcare services and reimbursement schemes by Social Security System, some of the insured workers do not know the contribution rate for Social Security System but understand the right to get the benefits provided by Social Security Board. The insured workers agreed with healthcare services and financial benefits provided by the Social
Security System that provides medical care with high quality of care without using their pocket money. But there was Long waiting time in SSB Clinic and SSB-Provider Clinics because of their effectiveness
THE EFFECT OF CLIMATE CHANGE ON RICE PRODUCTION IN LETPADAN TOWNSHIP, BAGO REGION
No full textClimate change is a global phenomenon that effects agricultural activities. Climate change has been observed as a major challenge to rice production, especially in the Bago Region, where their livelihoods rely on rain-fed agricultural production. The objectives of the research are to examine the characteristics of rice farmers and to analyze the effect of climate change on rice production. Three villages in Letpadan Township of Bago Region were selected as a sample study area by using simple random sampling, and data were collected with 250 farmers of total population of 3840 from three villages by using a structured questionnaire and analyzed using the Multiple Linear Regression Method. The results state that farmers' understanding and adaptation most farmers are well aware of the negative effects of climate change. They are aware of the increased incidence of pests and the increase in crop damage. They are using crop rotation, water conservation, and pest control methods with confidence. Most farmers use their own basic agricultural equipment, such as pesticide sprayers and plows, but they often lack harvesters and modern tools, including precision irrigation systems, which are still not widely available. This study has found that farmers are likely to respond to the impacts of climate change by utilizing their traditional knowledge, despite having no specific weather information. Farmers mostly predict the weather conditions based on the strange behaviors of animals and insects. They are not willing to make new changes since may be conservative, or poor access to advanced technology or financial supporting or manpower. Their traditional knowledge and current strategies are not able for long-period to climate change. Thus, this study significantly highlighted that must need to combine farmers' traditional knowledge and modern technique to be able to adapt to the upcoming climate change and its impacts
THE EFFECT OF JOB STRESS ON EMPLOYEE PERFORMANCE AT DAUNTLESS DISCOVERY INTERNATIONAL COMPANY LIMITED, YANGON
No full textThis study investigates the effect of job stress on employee performance at Dauntless Discovery International Company Limited, Yangon which is a company operating the eDiscovery and document review services. The research specifically examines four stress factors, which are workload, time pressure, job security, and role ambiguity, and their contribution to overall job stress. Primary data were collected through a structured questionnaire using a seven-point Likert scale from employees working in the document review department. The data were analyzed using correlation and multiple regression analyses to explore the relationships between individual job stress factors, job stress, and employee performance. The findings reveal that workload and time pressure are the most significant contributors to job stress, while job security and role ambiguity also exert a considerable influence. Moreover, the results demonstrate
that job stress has a positive and statistically significant effect on employee performance, suggesting that a manageable level of stress may act as a motivating factor within high-pressure work environments. The study offers practical implications for HR and operations managers, recommending targeted interventions such as clearer role definitions, improved workload distribution, and supportive work
environments to maintain optimal performance levels. These findings contribute to a deeper understanding of stress-performance dynamics within the fast-paced eDiscovery sector and offer insights for enhancing workforce effectiveness through strategic stress management
FACTORS INFLUENCING ON CONSUMER SATISFACTION OF OCEAN SUPERMARKET IN NAYPYITAW
No full textThis study investigates the factors influencing on consumer satisfaction of Ocean Supermarket in Naypyitaw. The objective of this study is to identify the level of influencing factors on customer satisfaction of Ocean Supermarket in Naypyitaw. Primary data and secondary data are used in this study. The primary data are collected, through a structured questionnaire with a seven-point Likert scale, from 231
customers by using systematic random sampling method. The collected data were analyzed using descriptive statistics, correlation analysis, and multiple regression analysis. The findings indicated that only four variables—price, place, people, and process—have a statistically significant and positive effect on customer satisfaction. In contrast, product and physical evidence do not show a statistically significant impact on customer satisfaction. Ocean should improve customer satisfaction by focusing on improving the service process, developing people capabilities, maintaining value-based pricing, and enhancing accessibility, the business can significantly strengthen customer satisfaction. Simultaneously, revisiting product offerings and upgrading physical evidence can serve as long-term strategic
improvements