Abstract:This study aims to determine the effect of motivation on employee performance at the Department of Trade and Industry of Gowa Regency. The population in this study were all employees at the Department of Trade and Industry…
ry of Gowa Regency, totaling 40 people. The number of samples used is the entire population because there are less than 100 people, namely the type of saturated cover, with this type of quantitative research. The data used are primary data and secondary data obtained using a questionnaire distribution technique. The results of the research after being processed with SPSS.21 Based on the results of the research it shows that motivation (X) has a coefficient value of 0.841 and t_count > t_table (3.385 > 2.026) and the value of Sig. of 0.002 <0.05, which means that motivation has a positive and significant effect on employee performance.
Abstract:The Effect of Compensation on Employee Organizational Commitment of PT. Vale Tbk in Sorowako. The purpose of this study was to determine the Effect of Compensation on Employees' Organizational Commitment at PT. Vale Tbk…
in Sorowako. This type of research is quantitative research. The number of samples in this study were 60 employees who were employees in the Maintenance Department of PT. Vale The results of the study after the data were processed showed that there was a positive influence between the financial compensation (X1) and non-financial compensation (X2) variables on the Organizational Commitment variable (Y) which can be shown through the results of the T test, namely variable X1 has variable X1 has t count 4.653 > 2.002 (t table) and sig. 0.000 < 0.05. Variable X2 has a t count of 3.392 > 2.002 (t table) and a sig. 0.000 < 0.05.
Abstract:The purpose of the study was to determine the effect of product quality and service quality on customer satisfaction at the SLV Room Boutique. The population in this study were consumers of SLV Room Boutique. the sampling…
g in this study was carried out using a purposive sampling technique so that 80 respondents were sampled. The type of research used is quantitative. The data used is primary data obtained by distributing questionnaires to consumers. The results of the study after the data was processed with SPSS.23 show that there is a partially significant effect between the independent variable and the dependent variable which can be proven by the calculated t value of the product quality variable (X1) of 2,938> t table 1.665 with a significant value of 0.004 <0.05 and the calculated t value of the service quality variable (X2) of 4.700> t table 1.665 with a significant value of 0.000 <0.05. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study.
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:The transition into emerging adulthood frequently induces life-direction anxiety, commonly known as a quarter-life crisis, among university students. This correlational quantitative investigation was designed to evaluate…
the correlation between the intensity of the quarter-life crisis (Variable X) and self-esteem (Variable Y) among active students at the State Christian Institute of Kupang (IAKN Kupang). Employing a sample of 30 participants gathered via probability sampling techniques, data collection was conducted utilizing Likert-scale questionnaires and statistically processed using the Pearson Product Moment correlation formula. The empirical analysis demonstrates a significant and highly robust positive correlation between the investigated constructs ($r = 0.769$; $p = 0.000$). This outcome highlights a noteworthy theoretical anomaly, wherein heightened levels of crisis are unexpectedly linked with enhanced self-esteem. This distinct psychological pattern is driven by active internal introspection, a purposeful pursuit of life meaning, and personal identity consolidation amid adversity. Furthermore, the campus culture at IAKN Kupang—characterized by comprehensive spiritual mentoring, robust peer networks, and a nurturing social atmosphere—serves as a constructive emotional buffer. These external dynamics empower students to navigate developmental stress adaptively, demonstrating that rather than diminishing their self-worth, the identity crisis ultimately bolsters their personal resilience.
Abstract:The Indonesian telecommunication industry is currently experiencing saturation in the Business-to-Consumer (B2C) market segment, prompting PT Telkom Indonesia (Persero) Tbk to aggressively execute business transformation…
by shifting toward a Business-to-Business (B2B) Digital model to maintain relevance amidst increasingly competitive and dynamic global business competition. This shifting phenomenon demands comprehensive internal readiness, particularly regarding resource orchestration and marketing ambidexterity maturity to balance traditional connectivity business with the exploration of high-value digital service innovation. This research employs a quantitative methodology with descriptive and causal approaches to dissect and objectively measure the level of organizational readiness in facing such market disruptions. Primary data collection was conducted with 385 respondents consisting of employees and strategic stakeholders involved in the transformation process at PT Telkom Indonesia using a nonprobability sampling technique with a purposive sampling method. All collected data were subsequently processed and tested using the SmartPLS version 4 analysis tool to ensure accuracy in modeling the complex relationships between the variables. The data analysis techniques utilized include descriptive statistics to provide a general overview of the data and variance-based Structural Equation Modeling (PLS-SEM) to test the significance of relationships between latent variables within the research model. The research findings project that corporate strategy significantly and positively influences business transformation success and B2B Digital model development, while simultaneously providing a strong direct impact on strengthening the company's competitiveness at the global level. The analysis results also indicate that internal transformation effectiveness and the implementation of B2B digital solutions are primary determinants capable of substantially enhancing the company's ability to compete across borders in the digital platform era. Furthermore, the mediating roles of business transformation and B2B Digital model variables have proven to be crucial in reinforcing the link between corporate strategic orientation and the achievement of sustainable international competitive advantage. Overall, this study provides an empirical foundation regarding the importance of precise resource orchestration for Telkom Indonesia to realize its vision as a preferred digital telco capable of winning competition in international markets.
Abstract:The global demand for energy continues to increase alongside population growth and rapid industrial development, while dependence on fossil fuels remains high. This presents challenges related to environmental degradation,…
n, carbon emissions, and concerns over long-term energy availability. Biomass-based alternative energy has emerged as one of the strategic solutions to support sustainable energy transitions, particularly in developing countries such as Indonesia. One potential biomass source that remains underutilized is horse manure, which can be processed into briquettes known as Brikuda.
This study aims to analyze the potential of Brikuda as an alternative energy source and to develop a sustainable business model using the Business Model Canvas (BMC). A qualitative descriptive approach was employed, involving in-depth interviews, direct observations, and analysis of secondary data. The findings reveal that Brikuda has strong potential as a renewable fuel due to the abundant availability of horse manure in Bandar Lampung. It offers economic benefits, reduces environmental pollution, and supports local empowerment. The Business Model Canvas analysis shows that farmers and livestock breeders are the primary customer segments, while the value proposition emphasizes affordability, environmental friendliness, and ease of use.
The study concludes that the Brikuda business model can enhance local economic value, promote sustainable waste management, and serve as a feasible alternative energy innovation. The research contributes to the development of renewable energy entrepreneurship and provides a reference for policy formulation in promoting local-based bioenergy initiatives.
Abstract:This study aims to analyze the effect of company size, Debt to Equity Ratio (DER), and Return on Equity (ROE) on the Dividend Payout Ratio (DPR) of food and beverage manufacturing companies listed on the Indonesia Stock…
Exchange (IDX) during the period 2019-2024. This research adopts a quantitative approach with multiple linear regression analysis processed using SPSS. The sample of the study consists of 18 companies that meet the purposive sampling criteria. The results show that company size has a positive and significant effect on the Dividend Payout Ratio. However, Debt to Equity Ratio and Return on Equity do not have a significant effect on Dividend Payout Ratio, either partially or simultaneously. These findings suggest that other factors, beyond company size, play a more significant role in influencing dividend policies in the food and beverage manufacturing sector in Indonesia.
Abstract:This study aims to analyze the differences in the financial performance of PT MAP Boga Adiperkasa Tbk (MAPB) before and after the consumer boycott campaign in the 2022–2024 period. The boycott campaign triggered by global…
bal geopolitical issues has an impact on the decline of the company's social legitimacy, thus affecting profitability and financial stability. The research method uses a descriptive quantitative approach through the analysis of annual financial statements processed using profitability ratios. The results show a significant downward trend in the entire profitability ratio from 2022 to 2024. In 2022, the entire ratio was in a positive condition, but declined sharply in 2023 and turned negative in 2024; NPM from 4.26% to −4.53%, ROA from 5.67% to −4.93%, ROE from 12.45% to −9.45%, and ROI from 8.37% to −4.87%. These findings indicate that boycott campaigns have a significant effect on declining profitability and show the loss of corporate social legitimacy in the eyes of the public according to the perspective of legitimacy theory.
Abstract:The rapid advancement of artificial intelligence (AI) offers new opportunities to enhance teaching and learning in early education. This study applies deep learning approaches to support early cognitive development among…
primary students in an Indonesian Islamic school. A hybrid Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) model was designed to analyse students’ cognitive patterns, attention, and engagement. Using a mixed-methods design, the research involved 60 students aged 8–10 at MIS Terpadu Alhijrah Bintuju. The model processed multimodal classroom data to generate adaptive feedback and personalized learning pathways. Results showed significant improvements in attention (+18%), memory recall (+22%), and problem-solving (+25%) after eight weeks of AI-assisted learning. Qualitative findings revealed higher motivation, engagement, and self-regulation. The study demonstrates that culturally aligned AI systems can effectively enhance early cognitive development and promote learner autonomy in Islamic primary education.