Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:Capital budgeting is a crucial aspect of financial management for MSMEs (Micro, Small, and Medium Enterprises) to ensure business sustainability and growth. This study aims to analyze the capital budgeting strategies implemented…
lemented by Nannos Racing to support their business continuity. The method used is a case study with data collected through direct observation, interviews with the owner, and documentation. The results indicate that well-planned and structured capital budgeting helps Nannos Racing optimize investment fund usage, reduce financial risk, and improve operational efficiency. An appropriate capital budgeting strategy also contributes to better investment decision-making and supports business expansion. This study recommends that MSMEs adopt systematic capital budgeting practices as part of their financial strategies to ensure business.
Abstract:This study aims to analyze the effect of Current Ratio (CR) and Debt to Equity Ratio (DER) on Return on Assets (ROA) in energy sector companies listed on the Indonesia Stock Exchange during the period 2020–2024. The research…
search method employed is a quantitative approach with a causal associative design. The data used are secondary data obtained from companies’ financial statements, with a total sample of 110 observations. Data analysis was conducted using multiple linear regression with the assistance of SPSS version 26. The results show that partially, the Current Ratio (CR) has no significant effect on Return on Assets (ROA), with a significance value of 0.833. Meanwhile, the Debt to Equity Ratio (DER) has a negative and significant effect on Return on Assets (ROA), with a significance value of 0.000. Simultaneously, Current Ratio (CR) and Debt to Equity Ratio (DER) have a significant effect on Return on Assets (ROA), as indicated by an F-test significance value of 0.000. The coefficient of determination (Adjusted R Square) of 0.128 indicates that the independent variables explain 12.8% of the variation in ROA, while the remaining 87.2% is influenced by other factors outside the research model. This study concludes that capital structure plays a more dominant role in influencing profitability compared to liquidity in energy sector companies. Therefore, companies are expected to manage debt usage optimally to improve financial performance.
Abstract:This study aims to determine and analyze the influence of the Theory of Planned Behavior and Financial Literacy on the Intensity of E-Wallet Usage among university students. This research employs a quantitative method. Data…
ata were collected through the distribution of questionnaires to 88 students of the Faculty of Economics and Business at Gorontalo State University and analyzed using SPSS version 25 by conducting validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, and F-test. The results show that: (1) the Theory of Planned Behavior has a positive and significant effect on the Intensity of E-Wallet Usage, (2) Financial Literacy has a positive and significant effect on the Intensity of E-Wallet Usage, and (3) both variables simultaneously exert a significant influence. These findings indicate that behavior in using e-wallets is influenced by psychological elements and financial literacy skills Both factors play a crucial role in shaping smart, effective, and responsible digital financial behavior in today's era.
Abstract:The rapid development of digital marketing has significantly transformed business strategies, particularly for Micro, Small, and Medium Enterprises (MSMEs). Instagram has evolved beyond a social networking platform into…
a strategic marketing tool equipped with analytical features such as Instagram Insight. This study aims to examine the effect of Instagram Insight utilization on consumer purchase decisions at Rumah Madu, an MSME operating in Bandar Lampung, Indonesia.
This research adopts a quantitative approach using a survey method. Data were collected from 92 respondents through structured questionnaires and analyzed using SPSS version 27. The independent variable is the utilization of Instagram Insight, measured through three dimensions: follower demographic analysis, follower active time analysis, and content performance analysis. The dependent variable is consumer purchase decision. Statistical analysis includes validity and reliability testing, classical assumption tests (normality, multicollinearity, and heteroscedasticity), simple linear regression, t-test, F-test, and coefficient of determination (R²).
The results suggest that Instagram Insight functions primarily as an internal strategic evaluation tool rather than a direct determinant of consumer purchasing behavior. This study contributes to the digital marketing literature by highlighting the gap between analytic tool utilization and actual consumer conversion in MSMEs. Practical implications emphasize the need for better data interpretation skills and integrated marketing strategies beyond analytics usage alone.
Abstract:This study examines the relationship between financial literacy, fintech usage, and digital shopping behavior among Generation Z university students in Indonesia, as well as the mediating role of fintech usage in this relationship.…
lationship. Data were collected from student respondents using purposive sampling and analyzed with path analysis. The results indicate that financial literacy significantly increases fintech usage, and fintech usage positively influences digital shopping behavior. The direct effect of financial literacy on digital shopping behavior becomes insignificant when fintech usage is included in the model, indicating that fintech usage fully mediates this relationship. These findings suggest that financial literacy encourages students to be more active in using fintech, and it is the intensity of fintech usage that drives their digital shopping behavior. This study highlights the importance of strengthening financial literacy and understanding financial technology to foster healthy financial behavior among students.
Abstract:Micro, Small, and Medium Enterprises (MSMEs), especially canteen businesses, play an important role in supporting local economic activities due to their high daily transaction intensity. However, many MSME canteens still…
face problems in transaction recording, inventory management, and sales reporting because these activities are carried out manually. This community service activity aims to improve business management efficiency through digitalization assistance using the Sales Master application. The methods used include initial surveys, digitalization socialization, application usage training, hands-on assistance, and evaluation. The results show that MSME actors experienced improvements in transaction recording accuracy, inventory control, and accessibility of sales reports. The implementation of the Sales Master application positively impacts operational efficiency and supports the independence of local MSMEs.
Abstract:The purpose of this research is to examine how Ibn Miskawayh’s thoughts on moral education influence the management of moral challenges in the current social media era. Various ethical issues such as cyberbullying, the spread…
spread of hoaxes, and the lack of politeness in communication have emerged alongside the increase in digital platform usage, indicating a decline in digital morals. This study is a qualitative research using the library research method. The primary data are drawn from Ibn Miskawayh’s seminal work, Tahdhib al-Akhlaq, which is analyzed using content analysis and descriptive-philosophical methods. The results show that Ibn Miskawayh’s concept of moral education remains relevant as a foundation for digital ethics through three main pillars: first, the concept of al-wasat (moderation) which trains social media users to be wise and proportional in consuming information; second, the strengthening of cognitive power (al-quwwah al-nathiqah) to filter negative content; and third, the formation of character based on internal self-control to achieve justice (‘adalah) when interacting in virtual public spaces. The conclusion of this research confirms that Ibn Miskawayh’s thoughts provide a curative and preventive framework for building a more civilized and ethical digital ecosystem.
Abstract:The development of digital payment systems has driven the increasing use of the Indonesian Standard Quick Response Code (QRIS) as a practical and integrated cashless transaction method. Although QRIS adoption continues to…
o increase, its continued use is still influenced by trust, perceived risk, and the prevalence of fraud in digital transactions. This study aims to analyze the influence of trust and risk on QRIS use, with fraud as a moderating variable, in the city of Bandung. This study used a quantitative approach with a survey of 200 QRIS user respondents. The data analysis technique used was Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that trust had a positive and significant effect on QRIS use, while risk had a negative and significant effect. Furthermore, fraud moderated the relationship between trust and QRIS use by weakening the influence of trust, and moderated the relationship between risk and QRIS use by strengthening the influence of risk. These findings confirm that although QRIS offers convenience and efficiency, perceptions of risk and fraud remain crucial factors influencing usage behavior. This research is expected to provide theoretical contributions to the development of digital payment technology adoption models and provide practical implications for regulators, payment service providers, and MSMEs in strengthening security, improving digital literacy, and building user trust in the QRIS payment system.
Abstract:Social interaction that occurs on social media serves not only as a means of social interaction but also as a primary platform for information dissemination and public opinion formation. However, the ease of access and interactivity…
nteractivity of social media also pose serious challenges regarding the application of digital ethics. Freedom in social media is not limitless freedom. Digital ethics involves principles and norms that govern user behavior in creating, producing, and distributing content with full responsibility. The 2020 Digital Civility Index (DCI) report regarding changes in community behavior in social media usage and forms of communication interaction places Indonesia at the lowest rank in the civility index. Incivility in social media conduct by the community results in significant vulnerability and threats of division, unrest, and conflict within society. Digital ethics involves principles and norms that govern user behavior in creating, producing, and distributing content with full responsibility. Ethics and morals have an attachment to one another.
Keywords: Digital Ethics, social media, values, socio-cultural