Obesity and Cholinesterase Level Related to Impaired Fasting Glucose in Indonesian Farmers

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Obesity is characterized by the excessive accumulation of fat caused by mutations in the leptin gene and its receptors. In Indonesia, the incidence of childhood obesity increased from 6.4% in 2007 to 9.2% in 2010. The prevalence and risk factors for childhood obesity in rural Indonesia, particularly in Teluk Pandan Subdistrict, Pesawaran District, Lampung Province, have not been extensively studied. This study aims to determine the prevalence and risk factors for childhood obesity in this rural-coastal area. A survey method was used for the prevalence study, and a case-control approach was used to identify risk factors. The study involved 94 students from elementary schools in Teluk Pandan, matched based on obesity status, gender, and age. Obesity was defined as a BMI at or above the 95th percentile of the CDC chart. Variables measured included dietary patterns, lack of physical activity, family income, parental obesity status, early introduction of complementary foods, and history of exclusive breastfeeding, analyzed using chi-square tests. The results showed that 148 out of 3190 children were overweight. Identified risk factors included excessive food consumption (p=0.0001; OR=15.622; CI95% 5.702-42.803), lack of physical activity (p=0.0001; OR=7.714; CI95% 2.868-20.751), high family income (p=0.0096; OR=2.202; CI95% 0.958-5.059), parental obesity status (p=0.0001; OR=24.5; CI95% 7.870-76.271), early introduction of complementary foods (p=0.0001; OR=4.567; CI95% 1.916-10.888), and non-exclusive breastfeeding (p=0.0005; OR=4.046; CI95% 1.605-10.201). The prevalence of childhood obesity in Teluk Pandan is 46% lower compared to urban areas in Indonesia. This study identifies several risk factors associated with childhood obesity in rural-coastal areas, including excessive food consumption, lack of physical activity, parental obesity, early introduction of complementary foods, and non-exclusive breastfeeding.

The Impact of Intellectual Capital on Company Value with Profitability as a Mediator

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This study aims to determine the effect of intellectual capital on firm value with profitability as a mediator in the food and beverage sub-sector. This study is quantitative empirical research using hypothesis research that examines the significant influence and direction of the direct and indirect relationship between the independent variables and the dependent variable through the intermediate variable. The total research sample is 14 companies. The sampling technique used in this research was purposive sampling. The data used is panel data. The data analysis method uses path analysis with the help of Eviews software. Partial test results show that intellectual capital has a positive and significant effect on firm value and profitability. The Sobel test results show that profitability cannot mediate the effect of intellectual capital on firm value.

The Influence of Social Media Engagement, Consumer Brand Engagement on Satisfaction and Loyalty of Tourists Visiting Coffee Shops in Kintamani, Bangli District, Bali

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Bangli is a regency in Bali Province, famous for its natural attractions. Kintamani is quite well known to foreign and domestic tourists, the beauty of the natural panorama of the Batur mountains makes the main attraction of Kintamani tourism destination as a favorite choice for tourists. Currently in the Kintamani area, there are many coffee shops mushrooming along the road, coffee shops in Kintamani in 2020 are 70 locations. With the rapid development of the internet, coffee shop business actors in Kintamani are increasingly aggressively promoting through their respective social media channels. This study aims to determine whether there is an effect of social media engagement, consumer brand engagement on the satisfaction and loyalty of tourists visiting coffee shops in Kintamani.

The research method in this study uses a quantitative approach with a sampling of 200 respondents. The sampling technique in this study used purposive sampling and data collection through distributing questionnaires, observation, and literature study. The data analysis technique uses Structural Equation Modeling (SEM) with the SmartPLS 3.3.3 analysis tool.

The results of this study indicate that: (1) social media engagement has a positive and significant effect on tourist satisfaction, (2) consumer brand engagement has a positive and significant effect on tourist satisfaction, (3) tourist satisfaction has a positive and significant effect on tourist loyalty. Social media engagement has a positive and significant effect on the satisfaction of tourists visiting Kintamani coffee shops.

The Influence of Inclusive Brand Image in Indonesian Cosmetic Products on Customer Loyalty

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In recent years, cosmetic brands in Indonesia have shifted their marketing strategies to emphasize inclusivity, aiming to foster stronger customer loyalty. This shift includes the portrayal of diverse beauty standards and the inclusion of a wide range of skin tones and types in their product lines.  Prior studies have demonstrated that an inclusive brand image significantly boosts brand trust and customer satisfaction. The research investigates the influence of an inclusive brand image in Indonesia’s cosmetic products on customer loyalty, focusing specifically on Generation Z consumers. By employing a quantitative research methodology, data was collected using online surveys distributed to 201 respondents aged 12-27 years. The study aims to explore the relationship between inclusive brand image and brand trust, customer satisfaction, and loyalty within the context of the Indonesian cosmetics market. Data analysis was conducted using descriptive statistics and PLS-SEM. The findings indicate that an inclusive brand image positively influences brand trust and customer satisfaction, which subsequently strengthen customer loyalty. Findings from this research are anticipated to provide insights that can help local cosmetic brands enhance their inclusive marketing strategies, thereby fostering a sense of acceptance and belonging among their diverse customer base and driving customer loyalty.

Stock Valuation Analysis of Technology Sector Companies Listed in Indonesia Stock Exchange in the Year 2018-2022

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In the year 2018, Indonesia’s equity market experienced an IPO boom where there is a significant increase in the number of companies who went through initial public offering (IPO). In the next years, Indonesia IPO market continue to grow with no less than 50 companies going public each year, rendering Indonesia as the biggest IPO market in Southeast Asia since 2018. Indonesian IPO within the year 2018-2022 is dominated by four sectors, consumer, properties & real estate, basic materials, and technology. Though only the fourth largest IPO sector, the sector grew significantly by 240% and funds raised from technology companies IPO deals comprises 36% of total funds raised from IPO in 2018-2022. However, after a few years of trading, only 3 out of 24 technology sectors company are trading above their initial offering price and closing price of the first trading day. The decline in share price spreads evenly across the technology sectors companies that went public in 2018-2023 despite size and market capitalization. This research aimed to evaluate the values of technology sector companies who went public in the year 2018-2022 and analyze whether their current share price is undervalued or overvalued compared to the true value of the company. This study analyzed two aspects of company value, the relative value and the absolute value. The relative valuation of each sample company is conducted through comparable companies analysis and absolute valuation is conducted through discounted cash flows analysis. The sample of this research comprised of 22 technology sector companies that went through IPO within the year 2018-2022. The data used in this research is secondary data collected from the official website of each sample companies, Indonesia Stock Exchange, and Bloomberg Terminal. Based on the relative valuation conducted through comparable companies analysis, the current share price of NFCX, PGJO, CASH, DCII, EDGE, UVCR, RUNS, WGSH, and WIRG are overvalued in the market. On the other hand, the current share price of DIVA, LUCK, HDIT, TFAS, DMMX, GLVA, WIFI, ZYRX, BUKA, GOTO, AXIO, BELI, and NINE are undervalued in the market. Furthermore, based on the absolute valuation conducted through discounted cash flows analysis, the current share price of NFCX, TFAS, DMMX, PGJO, CASH, DCII, EDGE, RUNS, WIRG, and BELI are overvalued in the market and WGSH is fair valued in the market. On the other hand, the current share price of DIVA, LUCK, HDIT, GLVA, WIFI, ZYRX, UVCR, BUKA, GOTO, AXIO, and NINE are undervalued in the market.

Impact of Sharia Inclusion and Financial Ratios on Stock Price: An Analysis of Companies Listed in the SRI-Kehati Index (2014-2023)

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This study aims to analyze the impact of Sharia inclusion and financial ratios on the stock performance of companies listed in the SRI-Kehati Index during the period 2014-2019. The SRI-Kehati Index reflects companies committed to socially and environmentally responsible investment. Using panel data regression methods, this study evaluates how financial ratios such as the DAR , P/E , and ROE  affect stock prices. Macroeconomic variables like Gross Domestic Product (GDP) and inflation are used as control variables. The results indicate that being Sharia-compliant doesn’t significantly impact stock prices. Similarly, the DAR didn’t have a significant effect. On the other hand, the return-on-equity ratio had a positive significant impact on stock prices, showing that good management and strong financial health boost investor confidence and market performance. Conversely, the P/E ratio had a negative significant impact, likely because high P/E ratios raise concerns about overvaluation and the sustainability of high stock prices relative to earnings.

Proposed Business Strategy for PT AceInno Technologies to Increase Revenue by Implementing Software Test Automation Services

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This paper explores PT AceInno Technologies, the ways it has strengthened the company’s value that would allow differentiation and new business strategies to boost the company’s revenues and the trends in IT software testing industry. In the SWOT analysis, business strength is characterized by high customer satisfaction and stability of the market; in the TOWS analysis, possibilities for development are long-term partnership with clients, and increasing effectiveness of time and test automation; in PESTEL analysis legal actions are discussed as a threat to the business; some risks which may be minimized are delays with time and poor test coverage. Some of them include; Employing the use of AI and other advanced test automation tools, diversification of services, constant feedback with clients to enhance the existing relations. Adjacent expansion, efficient operations, and constant training of employees can also be seen as the proposed business strategy to sustain competitive advantage. Thus, the integration of AI-augmented capabilities and innovative functions in PT AceInno Technologies allow it to create unique opportunities to improve the quality of services, generate new growth points, and become a market leader. Further research should investigate the impact and success of employing AI-supported QA in general and the consequences of enhancing the quality assurance process on the customers’ satisfaction and loyalty in the long term.

Nanosponges Overview on Novel Drug Delivery Formulation

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Targeting the drug to a particular site to reduce the drug toxicity requires a special drug delivery system.

Nanosponges are tiny particals with porous cavities to facilitate drug substances. Nanosponges efficiently transport both hydrophilic and lipophilic drug substances the present manuscript focus method of preparation, mechanism of drug release, evaluation and application of nanosponges.

 

The Interplay of Digital Maturity, Financial Performance, and Stock Returns in Indonesian Publicly Listed Banks

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Indonesia’s banking sector is undergoing a digital transformation driven by Industry 4.0. This study examines how digital maturity and financial performance, measured by Return on Assets (ROA) and Net Interest Margin (NIM), influence the stock performance of publicly traded Indonesian banks. Employing a quantitative approach, this study measures digital maturity by analyzing the frequency of technology-related terms in annual reports using NVivo software. Panel data regression with EViews software is then used to assess the impacts of digital maturity, ROA, and NIM on stock performance. The study reveals a positive and statistically significant relationship between ROA and stock returns, while digital maturity and NIM do not exhibit statistically significant effects. These findings suggest that investors prioritize financial strength and efficient asset management over digital activities when evaluating bank performance. The study concludes that digital maturity alone does not significantly influence stock returns, highlighting the need for banks to effectively translate digital initiatives into tangible financial benefits and clearly communicate these outcomes to investors. This research contributes to the existing body of knowledge on digital transformation and financial performance in the banking sector, offering valuable insights for investors and bank management decision making.

Analysis of Vousinas Fraud Hexagon Theory on the Detection of Financial Statement Fraud in Service Companies Listed on Indonesia Stock Exchange (IDX) 2018-2022

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The aims of this research was to identify and determine the influence of financial targets, external auditor quality, total accruals to total assets, CEO educational background, managerial ownership, political relations, and cooperation with government projects on financial statement fraud in Infrastructure, Utilities and Transportation Sector Service Companies Listed on the IDX 2018-2022, both partial and simultaneous influence, also moderated influence by internal control system. This research is explanatory research design with the sampling technique used purposive sampling. The population in this research is companies in infrastructure, utility and transportation sector listed on IDX with total 79companies. The research sample was obtained with total 44 companies. The type of data used is secondary data with data analysis techniques used panel data regression models and moderated regression analysis (MRA) through Eviews 10 software. This research found that Financial Target, External Auditor Quality, CEO Educational Background, Political Connection have a significant effect on Financial Statement Fraud in Infrastructure, Utilities and Transportation Sector Companies listed on the IDX. While Total Accrual to Total Asset, Managerial Ownership, and Cooperation with Government Project have no influence on Financial Statement Fraud. This study also found that Internal Control is able to moderates the relationship between Return on Asset, External Auditor Quality, Total Accrual to Total Asset, CEO Educational Background, Managerial Ownership, Cooperation with Government Project and Financial Statement Fraud in Infrastructure, Utilities and Transportation Sector Service Companies listed on the IDX.