Journal of Applied Business and Technology

Implementation of Digital Technology by Women Entrepreneurs in Singkawang City

2025-09-30T16:08:24+00:00

Business success can increase the country's economic growth and the contribution of women in the MSME sector is 64% of the total MSMEs. Singkawang City has 39,747 women entrepreneurs who affect the welfare of the community. However, there are obstacles and limitations so that women entrepreneurs are considered not successful enough in a business. The implementation of digital technology in business is considered to be able to facilitate women entrepreneurs in facing obstacles and can provide flexibility to balance the roles and responsibilities that women have. This study aims to look at the implementation of digital by women entrepreneurs in Singkawang City with a descriptive quantitative approach by 185 respondents. This study found that the use of Whatsapp dominates the implementation of digital technology in women entrepreneurs in Singkawang City where 185 women entrepreneurs in Singkawang City use Whatsapp in their business processes. In addition, the average women entrepreneur in Singkawang City uses 3 to 4 combinations of digital technology where the most widely used combinations are Whatsapp, Facebook, Instagram and Tiktok in their business.

Green Intellectual Capital, Enterprise Risk Management and Corporate Social Responsibility on Environmental Performance and Financial Performance

2025-09-30T16:08:22+00:00

The purpose of this study is to obtain an overview of green intellectual capital (GIC), corporate risk management (ERM), corporate social responsibility (CSR), company size (SIZ), company age (AGE) and company certification (CER) in influencing environmental performance and financial performance. Helping to describe the development of green-based human resources, resilient and adaptive risk management, and the role of implementing local wisdom-based corporate social responsibility in impacting the company's environmental and financial performance in the long term. The research method uses multiple linear regression analysis using SMART PLS version 4 on 105 primary consumer goods sub-sector companies (non-cyclical consumers) listed on the IDX for the 2016-2022 period. The results of the study concluded that hypothesis 1, hypothesis 4, hypothesis 5, and hypothesis 7 were accepted, while hypothesis 2, hypothesis 3, and hypothesis 6 were rejected. The recommendation of this study is that the company's green intellectual capital has a strong impact on environmental and financial performance. Corporate risk management has a strong impact on financial performance only. And corporate social responsibility has a negative impact on environmental performance and financial performance. While environmental performance has a strong impact on financial performance. Green intellectual capital and corporate risk management are important elements in enhancing a company's competitiveness, uniqueness and sustainability.

Optimization of Body Mass Index Classification Using Machine Learning Approach for Early Detection of Obesity Risk

2025-09-30T16:08:18+00:00

This study aims to optimize the classification of obesity risk at an early stage using Principal Component Analysis (PCA), which is an important technique in machine learning. PCA is used to reduce the dimensionality of data, maintain important information without losing data, and has the advantage of reducing complexity which usually increases the risk of overfitting. The obesity dataset will be classified using algorithms such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree, Random Forest, Gradient Boosting Linear, and XGBoost. Specifically, each algorithm is chosen because of its respective advantages: KNN for nonlinear data, SVM for high-dimensional data, and Random Forest and XGBoost for complex data patterns. Evaluation is carried out using metrics such as accuracy, precision, recall, and F1-score to assess the performance of the algorithm. The results show that the Random Forest and XGBoost algorithms provide the best performance in terms of accuracy, especially when all dataset features are used without PCA reduction. This study is expected to be a consideration in determining the best algorithm for obesity classification, supporting early detection, and facilitating decision making in health analysis.

Is The Corporate Governance Important for Firm Value?

2025-09-30T16:08:13+00:00

This objective of this study is to examine the influence of Corporate Governance and Earning Management on the Firm Value with the moderating is Sales Growth. With cross-sectional data from 2023 from 227 cyclical and non-cyclical companies listed on the Indonesia Stock Exchange, and this study employs a quantitative methodology with the goal of analyzing. Data analysis uses Moderated Regression Analysis or MRA with Eviews 13.0 software to test the moderating effect of Sales Growth. With cross-sectional data from 2023 from 227 cyclical and non-cyclical companies listed on the Indonesia Stock Exchange, this study employs the quantitative methodology with the goal of analyzing The study's findings show that Earning Management (β = 0.414, p < 0.01) and Corporate Governance (β = 0.241, p < 0.01) significantly increase Firm Value. Sales Growth functions as a pure moderator, according to moderation analysis, while the link between Corporate Governance and Firm Value is more strongly moderated by the CG×SG interaction (β = 0.320, p < 0.05), and the association between Earning Management and Firm Value is moderated by the EM×SG interaction (β = -0.485, p < 0.01). Sales growth is a pure moderator that enhances the beneficial impact of corporate governance while diminishing the impact of the earnings management on firm value, according to this result.