Comprehensive and Understanding of PM2.5 among Thai High School Students

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The majority of Thai people prefer to spend their time participating in outdoor activities. However, Thailand is considered a polluted country, and Bangkok is ranked as the most polluted city in the country. Younger generations faced an issue of lacking awareness about PM2.5. As a consequence of encountering particulate fine particles, individuals may be at high risk of developing respiratory and cardiovascular diseases. In addition, none of the researchers have ever conducted a survey researching the comprehensiveness and understanding of high school students in Thailand about PM2.5. Hence, this research aims to analyze and determine understanding among Thai high school students in Thailand. The research was conducted through an online survey consisting of 21-multiple choice questions. With 133 individuals participating in the survey, the mean score was rounded up to 13.65, illustrating the comprehension level of high school students to be on an average scale. From analyzing the correlation between the two variables, the F value was 0.27. According to mean value, the most prominent fundamental reasons for having average knowledge on fine particles may be a consequence of not including the topic into school’s syllabus and low promotion in the media, such as newspapers and social media. Thus, this research aims to raise awareness, concern, and comprehension among high school students about the effects of PM2.5.

The Influence of Financial Ratios and Qardhul Hasan Financing on Financial Performance in Islamic Banks

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The financial performance of a bank reflects the level of success in managing resources to achieve its goals. One method of evaluating the financial performance of a bank is by using ROA (Return on Assets). The objective of this research is to identify the impact of Qardhul Hasan Financing and financial ratios on the financial performance of Islamic banks in Indonesia. This study is an explanatory research that utilizes secondary data, specifically annual reports published between 2014 and 2021. The research population consists of all Islamic banks in Indonesia, and a sample of 10 Islamic banks was selected using sampling techniques. Multiple linear regression analysis was used to analyze the data. The findings indicate that overall, the variables QARDH, NPF, FDR, CAR, and BOPO have an influence on ROA as an indicator of financial performance. However, individually, the variables QARDH, NPF, and CAR do not have a significant impact on ROA. On the other hand, BOPO and FDR have a significant impact on ROA.

The Effect of Digital Marketing Implementation Towards Muslim Fashion Brand Awareness and Brand Image on Covid’19 Pandemic

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Digital marketing has a positive impact on brand awareness and brand image. This can have a good effect on the economy as it can increase brand awareness and brand image of Muslim fashion brands. This good economic effect will translate into improved company performance in covid’19. This study aims to determine the influence of the company’s digital marketing on brand awareness and brand image on covid’19 in Muslim fashion brands. This study uses multiple regression on panel data from a sample of 100 respondents based in Indonesia. The variable of this research is digital marketing in Muslim fashion brands. Other variables are brand awareness and brand image to see what effect digital marketing has on these variables in covid’19. The results of the study resulted in t value > t table and sig < 0.05 from each hypothesis that everything was declared accepted because t value > t table and sig < 0.05. This study shows a significant influence of digital marketing on Muslim fashion brands on brand awareness and brand image during the covid’19 pandemic.

Semiotic Analysis of The Tik Tok Application in Android Phone

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Tik Tok has become a popular way for people to express themselves in recent years. Semiotic analysis of the tik tok application in android phone is the title of this research. The purpose of this research is to describe the semiotics analysis of tik tok application through connotative and denotative meanings. The qualitative descriptive method is used by the authors in this study. Observation is the way for gathering data. Choosing the symbol to be studied is the first step. The findings show that twenty-five different symbols in the Tik Tok application on android phone have meaning. Based on the symbols, each of them attend a different function. The conclusions is by using this application users can share videos, interact with others, explore the globe and learn English.

Optimal Portfolio Construction Using Bitcoin, Gold, LQ45 Index, and Indonesia Bond Index

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Cryptocurrencies are significant improvements in the digital age that have changed the way we think about money. The first cryptocurrency was Bitcoin, introduced in 2009 and was created by Nakamoto. Due to their potential ups and downs, many people now think that cryptocurrencies are appropriate for use as an investment instrument, especially millennials who are attracted to higher-risk investment alternatives. A number of different investing options such as cryptocurrencies, gold, and other conventional assets like equities and bonds have unique characteristics and advantages. It’s essential for investors to understand the similarities and differences between cryptocurrencies and other assets in order to create diversified portfolios.

In this study, the optimum portfolio will be constructed using Bitcoin, Gold, LQ45 Index, and ABF IBI as the representative of Indonesia Bond Index. Mean-Variance Optimization will be used as an asset allocation method, and will be compared to the other methods such as Risk Parity, 60/40 Portfolio, and Equally Weighted to find a better risk-adjusted return. The Sharpe ratio analysis is used to evaluate the portfolio performance resulting from every method. The investment strategy will be simulated to know which strategy will result the best total return in the end of simulation period.

According to risk, return, and the Sharpe ratio, Bitcoin could perform better than gold, LQ45, and ABF IBI. Furthermore, the Mean-Variance Optimization resulted the highest Sharpe ratio compared to the other methods. The optimal weight from the portfolio construction using Mean-Variance Optimization allocated 53% to ABFI index, 40% to Bitcoin, and 7% to gold, which resulted 48.2% portfolio return, 40.44% portfolio risk, and 1077.8% Sharpe ratio. From the investment strategy simulation, the quarterly rebalancing strategy was found to be the best strategy with the total return 223.36%.

Proposed Marketing Strategy for Coffee Shop in Jakarta

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Most Indonesian people, especially the millennial generation, has adopted hanging out and drinking coffee into their way of life as a way to support their daily activities. coffee consumption hit 3,3 million bags @60kg, and the end of the year of 2021 it reached 5 millions of bags. Sicangkir Coffee is a coffee shop that placed in Pasar Minggu, South Jakarta which following the trend since 2018. After Pandemic covid-19 hit indonesia in 2020, sicangkir sales decline a lot and trying to regain the sales they used to have. Sicangkir have challenges due to proliferation of coffee shops in Jakarta.

Finding an appropriate marketing strategy to improve Sicangkir Coffee sales is the goal of this study. Internal and External analysis is carried out to understand business problem broadly and deeply. Analysis of the internal focus on STP (Segmenting, Targeting and Positioning) and Marketing Mix (7P), while the external analysis focus on PEST analysis, Porter Five Forces and Competitor Analysis. In this research both primary and secondary data were collected for analysis. All the analysis result are summarized in SWOT framework (Strenghts, Weakness, Opportunitites and Threats) and further analyzed using TOWS matrix to generate several strategies proposals.

Regional Differences and Sociodemographic Factors Associated with Cesarean Section Delivery in Bangladesh through Multilevel Poisson Regression Model

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Cesarean section is the most challenging issue not only in developing countries but also in developed countries because it is increasing at an alarming rate worldwide, where the majority of cesarean sections are unnecessary. Unnecessary cesarean delivery in Bangladesh is widespread and is responsible for long-term and short-term health complications for both mothers and children. This study aimed to assess regional differences and sociodemographic factors associated with cesarean section delivery in Bangladesh. The most recent Bangladesh Demographic and Health Survey 2017-18 data was used in this study. A total of 5,299 ever-married women who gave birth within the three years preceding the survey were analyzed. A multilevel Poisson regression model was used to identify the sociodemographic factors associated with cesarean section deliveries in Bangladesh. The prevalence of cesarean section deliveries was about 33.0%. The result showed that women’s aged 30-36 years (IRR = 1.11, 95% CI = 1.01–1.22), women’s secondary education (IRR = 1.52, 95% CI = 1.14–2.02), higher secondary education (IRR = 1.82, 95% CI = 1.35–2.47), partner’s secondary education (IRR = 1.28, 95% CI = 1.05–1.57),  higher secondary education  (IRR = 1.54, 95% CI = 1.25–1.91), women living in the Dhaka division (IRR = 1.22, 95% CI = 1.04–1.43), women living in the Khulna division (IRR = 1.36, 95% CI = 1.15–1.60), and women living in the Rajshahi division (IRR = 1.26, 95% CI = 1.06–1.51), middle wealth index (IRR = 1.31, 95% CI = 1.13-1.52), richest wealth index (IRR=1.59, 95% CI=1.37-1.84) and exposure to mass media (IRR = 1.45, 95% CI = 1.27–1.64)  were significantly more to deliver by cesarean section. Therefore, attention to women’s age, education, partner’s education, division, wealth index, and exposure to mass media might help policymakers make appropriate strategies and policies that would contribute to avoiding unnecessary cesarean section deliveries in Bangladesh.

Reducing the Delayed Lead Time of Purchase Requisition to Purchase Orders for Standard Part Commodity in the Procurement Department of the Avionics Sector

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The efficiency and effectiveness of procurement processes perform a critical role in the smooth operation of organizations, particularly in industries with intricate supply chains, such as the aviation sector. This thesis focuses on the delayed lead time of purchase requisitions to purchase orders for standard part commodities inside Procurement Department. Through a comprehensive analysis of the procurement workflow, data collection, and interviews with key stakeholders, this study aims to identify the root causes and consequences of the delayed lead time in the procurement and also determine the best strategy supply chain for the procurement department. The root cause reveals several factors that contribute to the delayed lead time, such as ineffective and inefficient processes, manual working procedures, particularly in the negotiation and evaluation process between buyer and Supplier, bureaucracy in the document, poor in managing and updating the data of requirements supplier, no back up for new prospect supplier, and a lack of monitoring and communication between internal and external departments. Furthermore, the consequences of this delay include delays in following processes in other departments, increasing the potential of product delivery delays to clients, and affecting customer satisfaction. Based on the findings of these studies, several business solutions have been proposed to address these challenges. The conclusion of the entire analysis process is the implementation of e-procurement with a vendor management system. By implementing these suggestions, the Procurement Department significantly reduced the lead time by 65%. The benefits obtained lead to increased operational efficiency, reduced possibility of product delays to consumers, and increased customer satisfaction.

Virtual Mouse and Keyboard for Computer Interaction by Hand Gestures Using Machine Learning

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Human-computer interaction has changed since the advent of computer technology. Gestures are a useful way to communicate, and the Covid-19 era had an impact on us. Both the keyboard and the mouse are tools used to communicate with computers. Here, we’ve attempted to use hand gestures to interact with the mouse and keyboard. Eventually, get rid of the electronics. Consequently, use a virtual keyboard and your finger to move the mouse cursor. Using different hand gestures, actions like clicking, dragging, and typing data will be carried out.
A webcam is the IOT device required to accomplish this. The output from the camera will be displayed on the system’s screen so that the user can fine-tune it. We employ tools like Python, Media- Pipe, and Open-CV. The Media-Pipe library offers features that improve the model’s effectiveness and is particularly helpful in AI projects. The user will be able to move the computer cursor with various hand motions, type on the virtual keyboard while holding coloured caps or tapes, and left-click and drag objects. In this research, we suggest a hand gesture detection system for a natural human computer interface that can control a virtual mouse and keyboard.

Pharmaceutical State-Owned Enterprises Holding Formation Performance Assessment

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Along with being a business focused on making a profit, State-Owned Enterprises (SOE) also have additional responsibilities to assist national economic progress and engage in accelerated development. There are many tactics that can be used to improve SOE performance, such as restructuring by creating a SOE holding. So that the management could operate as effectively as possible, several SOEs that were active in the same industry were reorganized into holding corporations. The goal of this study is to assess and examine the financial performance of SOE pharmaceutical firms using financial ratio analysis and SOE Financial Scoring of Healthiness level that include PT Bio Farma (BIOF), PT Kimia Farma (KAEF), PT Indofarma (INAF) and as Consolidation basis before and after restructuring through the establishment of a holding in 2017-2022. Calculations were also carried out employing the paired t-test statistical technique during the time prior to holding in 2017-2019 and after holding in 2020-2022 to determine significant differences. The findings show that the financial ratios of pharmaceutical SOEs during the period before and after the holding formation in 2017-2022 mostly are deteriorating and the healthiness level from healthy become less healthy. However, using paired t-test, the holding formation has no significant influence on financial performance profitability, leverage, or liquidity when it be analysed for each SOE. However, when viewed as a consolidation basis, the ROI before and after the holding configuration was significantly different.