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This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

Tourism in Bali, as the backbone of the regional economy, absorbs more than 50% of the workforce and gives rise to complex labor dynamics. Although Law No. 13 of 2003 on Manpower and Law No. 21 of 2000 on Trade Unions guarantee worker protection and freedom of association, the reality on the ground is still marked by the misuse of fixed-term employment contracts (PKWT), violations of outsourcing regulations, and both structural and cultural barriers to union formation. This article employs a normative juridical approach, using statute, conceptual, and case-based methods to analyze the regulatory framework and the responses of workers, employers, and government actors in addressing industrial relations disputes within Bali’s tourism sector. The findings reveal a significant gap between written legal norms and actual practice: repeated extensions of PKWT, outsourcing of core tasks such animal caretaking, union-busting through dismissal of union members, and weak law enforcement at regional level. Trade unions play a role in mediation and advocacy, but their performance is hindered by employer intimidation, low legal literacy among workers, and limited institutional support. Bridging this gap requires strict oversight, legal education for workers, as well as the strengthening of union capacity and the authority of local governments.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

The highly competitive healthcare industry in Cirebon poses a significant challenge for Klinik Utama X, especially as a non-BPJS facility. This condition requires a paradigm shift from a provider-centric marketing mix to a patient-centric approach to retain patient loyalty. This study aims to evaluate and formulate the marketing strategy of Klinik Utama X using a comparative 4P (Product, Price, Place, Promotion) and 4C (Customer Solution, Customer Cost, Convenience, Communication) approach based on SWOT analysis. This research used a qualitative descriptive design with purposive sampling, gathering primary and secondary data through in-depth interviews, observations, and document studies. The data were systematically evaluated using Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrices. The findings reveal that the clinic is strategically positioned in Quadrant I, with an IFAS score of 2.53 and an EFAS score of 2.60, indicating strong internal capabilities to seize external opportunities. The recommended aggressive growth strategy involves integrating psychiatric and aesthetic services, penetrating the Business-to-Business (B2B) market through corporate medical check-ups, accelerating digitalization via telemedicine and online queuing, and preparing for BPJS accreditation. The managerial implications suggest that the clinic must prioritize resolving internal human resources and strengthening financial record-keeping systems before investing heavily in medical assets, while actively expanding digital convenience and corporate partnerships to secure short-term financial stability.

Social Studies (IPS) learning in elementary schools plays an essential role in developing students’ critical thinking skills and civic attitudes as part of 21st-century competencies. However, in practice, IPS learning is still commonly teacher-centered and lacks contextual learning experiences, resulting in low student engagement and limited development of higher-order thinking skills. This study aims to analyze the implementation of Project-Based Learning (PjBL) in IPS learning to enhance critical thinking skills and civic attitudes of grade VI students at SDN Prekbun. The research employed a qualitative approach with a case study design. Data were collected through classroom observations, semi-structured interviews with teachers, students, school principals, and parents, as well as documentation of learning activities. Data analysis was conducted using the interactive model of Miles and Huberman, including data reduction, data display, and conclusion drawing and verification. The findings indicate that the implementation of PjBL effectively enhances students’ active participation, critical thinking skills in analyzing social issues, and civic attitudes such as responsibility, cooperation, and social awareness. Learning becomes more meaningful as students are directly involved in contextual, collaborative, and problem-based project activities. Despite these positive outcomes, several challenges were identified, including limited learning facilities, time management constraints, and variations in students’ confidence levels. This study implies that PjBL is an effective instructional model for strengthening character education and developing 21st-century skills in elementary social studies learning

This study examines the influence of work discipline, employee motivation, and work environment on employee performance at the Office of Women Empowerment, Child Protection, Population Control, and Family Planning (DP3AP2KB) of Batam City. The research applies a quantitative approach with an associative design to determine the relationship and influence among variables. Data were collected from all employees using a structured questionnaire that had been tested for validity and reliability to ensure the accuracy of the research instrument. The analysis technique used is multiple linear regression to evaluate both partial and simultaneous effects of the independent variables on employee performance. The findings indicate that work discipline, motivation, and work environment collectively contribute significantly to improving employee performance. Individually, each variable also shows a meaningful and positive effect, reflecting the importance of both internal and external factors in shaping employee outcomes and productivity. These results imply that strengthening discipline, enhancing employee motivation, and creating a supportive, comfortable, and conducive work environment are essential strategies for improving organizational performance and achieving institutional goals effectively. Therefore, organizations are encouraged to implement policies and programs that support employee development, maintain a positive work atmosphere, and improve overall work quality in a sustainable manner.

The exponential growth of digital music catalogs on streaming platforms such as Spotify has made personalized recommendation systems crucial for enhancing user experience. This study develops a hybrid music recommendation system that addresses both warm-user and cold-user scenarios by combining Alternating Least Squares (ALS) collaborative filtering with content-based filtering (CBF) augmented by a popularity component. The dataset consists of 8,549,544 user-track interactions and a master file of 1,204,025 tracks with ten audio features. After preprocessing, users were segmented into 14,880 warm users and 723 cold users based on a five-interaction threshold. The ALS model was trained on the user-item implicit feedback matrix and tuned through grid search over factors, alpha, and regularization. CBF was implemented using cosine similarity on normalized audio features, while popularity scores were applied for new users with insufficient history. Evaluation used Precision@10, Recall@10, and NDCG@10. The final ALS configuration achieved NDCG@10 of 0.1116, representing a 30% improvement over baseline, while the hybrid CBF improved NDCG@10 for cold users from 0.0070 to 0.0201. Findings indicate that adaptive routing among ALS, CBF, and popularity reliably handles different user states, providing a practical foundation for production-grade music recommendation systems.

The smart city concept has emerged as a primary solution to address various global urbanization challenges. However, its implementation in developing countries frequently encounters unique obstacles, such as limited infrastructure, constrained budgets, and varying levels of community readiness. This study aims to identify and analyze the critical success factors for smart city implementation in developing nations using a literature review approach. The research employs a Systematic Literature Review (SLR) method, adapting the PRISMA guidelines. Data collection was conducted by screening scientific articles from leading academic databases published over the last five years. The review results indicate that the success of a smart city in developing contexts does not rely solely on technological advancement. There are four primary dimensions acting as determinants: (1) the governance dimension, encompassing regulatory support and bureaucratic transparency; (2) the technological infrastructure dimension, involving equitable internet access and centralized data integration; (3) the human resources dimension, focusing on the digital literacy of citizens and government apparatus; and (4) the financial dimension, which includes innovative financing models and public-private partnerships. The conclusion of this review emphasizes that cross-sector collaboration and strong leadership commitment remain the most crucial foundations. These findings are expected to provide a strategic reference framework for local governments in designing more sustainable and targeted smart city roadmaps.

This study aims to design and develop a web-based New Student Admission System (PPDB) Website at MIS Chairul Bariyyah Medan Krio to overcome the limitations of manual registration systems. The method used is Agile, as it supports iterative, flexible, and adaptive system development according to user needs. Data collection techniques include observation, interviews, literature study, and documentation. The system is developed using the Python programming language with the Django framework and MySQL database. The results show that the developed system improves the efficiency of the registration process, minimizes data recording errors, and facilitates real-time management of applicant data. In addition, the Website also serves as an information and promotional medium for the school that can be accessed anytime. Based on Blackbox testing and User Acceptance Test (UAT), the system is proven to run well and is easy to use. Therefore, this web-based PPDB system is effective in improving the quality of Administrative services at MIS Chairul Bariyyah.

Technological advancements and the rapid growth of globalization have fundamentally changed the way organizations conduct business activities, creating increasingly complex challenges and opportunities in both local and international markets. Organizations are now required to adapt quickly to changing consumer preferences, technological innovation, market competition, and economic uncertainty. In this environment, economics, management, and accounting have become three essential disciplines that play a crucial role in determining organizational effectiveness and long-term sustainability. Economics helps organizations understand market behavior, pricing strategies, supply and demand conditions, and macroeconomic factors that influence business performance. Management focuses on planning, organizing, leading, and controlling resources to ensure operational efficiency and goal achievement. Accounting provides reliable financial information through systematic recording, reporting, and analysis of transactions, enabling organizations to evaluate performance and maintain accountability. This study aims to analyze the relationship between these three disciplines in supporting organizational decision-making processes and improving overall performance. The research employs a literature review method by examining various recent academic books and journal articles. The findings reveal that the integration of economics, management, and accounting strengthens strategic planning, improves resource allocation, enhances financial transparency, and supports sustainable organizational growth in a highly competitive global environment.

The development of information technology has become a primary pillar in enhancing corporate operational efficiency, where rapid and accurate data integration significantly determines business competitiveness. Case study in PT Gawi Anjung Bersama (GAB) revealed that the company is facing operational constraints because the management of delivery orders and invoices still relies on conventional office applications such as Microsoft Excel and Word. This procedure causes hurdles in data sharing among staff and results in low information security due to the absence of integrated access control settings. This research aims to design and develop the Gawi Anjung Bersama Information System (SIGAB), a web-based system implementing the CodeIgniter framework. The system is developed using Waterfall model, encompassing stages from analysis, design, and implementation to testing. The research flow starts with problem identification, primary and secondary data collection, and functional and non-functional requirements analysis. The system is designed using Unified Modeling Language (UML) modeling, specifically Use Case and Class Diagrams, as well as Entity Relationship Diagrams (ERD) for the database. The system interface is designed as wireframes on Figma web. This system separates access rights into three main actors namely owner, administrator, and staff, to ensure data security. Blackbox testing results, conducted after the system was hosted, indicate that all functional features operate as intended. The implementation of SIGAB is expected to optimize the management of delivery orders and invoices at PT GAB.

Slope stability studies are crucial in determining the sustainability and operational safety of mining activities. This research was conducted to analyze the correlation between rock porosity and Unconfined Compressive Strength (UCS) results, as well as the corrleations between Point Load Index (PLI) and Unconfoned Compressive Strength (UCS) results. These two correlations form the primary components of the study. Three types of rock were tested claystone, coal, and siltstone. The results of the study are as follows for the correlation between porosity and Unconfoned Compressive Strength (UCS), claystone yielded a coefficient of determination (R2) of 0.32 is classified as weak correlation, with the linear regression equation Y=-0.11X+6.98. Coal yielded an (R2) of 0.56 is classified a moderate correlation, with the equation Y=-1.98X+103.77. Siltstone yielded an (R2) of 0.86 is classified a strong correlation, with the equation Y=-0.38X+20.02. Regarding the correlation between Point Load Index (PLI) and Unconfoned Compressive Strength (UCS), claystone achieved an (R2) of 0.12 is classified a very weak correlation, with the linear regression equation Y=8.91X. Coal achieved an (R2) of -0.27 is classified a very weak correlation, with the equation Y=27.87X. Lastly, siltstone achieved an (R2) of -0.45 is classified a very weak correlation, with the linear regression equation Y=24,90X.

In addition to being programmatically successful in lowering TFR and slowing population growth rates, the Long-Term Contraceptive technique (MKJP) is an affordable technique of preventing conception. This study's objective was to examine variables associated with long-term contraceptive (MKJP) selection at the Gandasuli Community Health Center. The study design is cross-sectional and the research methodology is quantitative. The investigation was carried out in the workspace of the Gandasuli Community Health Center. 300 women of reproductive age made up the study's population, and a straightforward random selection procedure was used to choose 45 participants. A questionnaire was used to gather the data, which were then subjected to univariate and bivariate analysis using the Chi-Square statistical test. Age and MKJP choice did not correlate, according to the data (p- value = 0.09 > 0.05). The choice of MKJP was correlated with education (p-value = 0.003 < 0.05). The choice of MKJP was correlated with occupation (p-value = 0.003 < 0.05). The choice of MKJP and the husband's support are related, with a p value of 0.004 < 0.05. Parity and MKJP selection are related, with a p value of 0.003 < 0.05. Knowledge and MKJP selection are related, with a p-value of 0.003 < 0.05.

Micro, Small, and Medium Enterprises (MSMEs) constitute the backbone of Indonesia's national economy, contributing approximately 61% of GDP and absorbing 97% of the total workforce; however, the majority of MSME actors, particularly in eastern Indonesia, continue to face structural barriers in digital technology adoption and capital access that constrain optimal business performance. This study aims to analyze the partial and simultaneous effects of marketing digitalization and business capital on MSME performance in Ambon City. A quantitative approach with associative-causal design was employed, involving 30 respondents selected through purposive sampling from active MSME operators in Ambon City. Data were collected via a five-point Likert scale questionnaire and analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. Results demonstrate that marketing digitalization exerts a positive and significant partial effect on MSME performance (t = 8.060; sig. = 0.000; β = 1.061), establishing it as the most dominant predictor in the model. Conversely, business capital shows no significant partial effect (t = 0.746; sig. = 0.462), attributable to the homogeneity of capital access among MSME actors in archipelagic regions. Simultaneously, both variables significantly influence MSME performance (F = 287.070; sig. = 0.000), with an exceptionally high R Square of 0.955, indicating that 95.5% of performance variance is collectively explained by the two predictors. These findings underscore the critical role of digital marketing capabilities over financial resources alone in archipelagic contexts. It is recommended that the Ambon City Government integrate digital marketing literacy training programs synergistically with inclusive financing schemes to comprehensively strengthen MSME competitiveness across the Maluku archipelago.

Independent plantations are a favorite in the Jambi Regional economy, as they are a source of economic growth, employment, exports, and foreign exchange for the region. Despite their relatively low productivity, oil palm plantations in Jambi Province have a major competitive advantage compared to other commodities. This study aims to describe, analyze competitiveness, analyze policy impacts, and conduct sensitivity tests on independent oil palm plantations. The research location was in Merlung District, selecting three sample villages: Tanjung Paku Village, Merlung Village, and Lubuk Terap Village purposively, with a total sample of 43 farmers. The data analysis method used the (PAM) method. The results of the analysis show that independent farmers still have relatively low productivity. The DRCR value is 0.379 (<1) and the PCR value is 0.368 (<1) which indicates savings in the use of domestic resources by 37.9% and 36.8%. These results indicate a comparative and competitive advantage. The divergence impact shows a negative impact, meaning that government policies are not distorted properly, as indicated by an NPCI value of 1.18 (> 1) and an NPCO value of 0.87 (< 1). Sensitivity tests show that independent oil palm plantations still have competitiveness (< 1), despite experiencing policy distortions such as input price increases (11% and 25%) and a decrease in FFB prices (45%).  

Student learning activeness is an important component in achieving effective learning outcomes. However, many classroom learning processes still tend to be teacher-centered, resulting in low student participation. This study aims to analyze the implementation of the Family 100 Quiz Game in improving students' learning activeness in Islamic Religious Education (PAI) learning among eleventh-grade students at SMAN 1 Tambakboyo. This research used a Classroom Action Research (CAR) approach with the Kemmis and McTaggart model consisting of planning, action, observation, and reflection stages. The research was conducted in two cycles involving 38 students. Data were collected through observation sheets, field notes, and documentation. Data analysis was carried out using descriptive quantitative and qualitative techniques by calculating the percentage of student learning activeness. The results showed that the implementation of the Family 100 Quiz Game was able to increase student learning activeness. The average percentage of learning activeness increased from 65% in cycle I to 86% in cycle II. The findings indicate that game-based learning strategies can create a more interactive, collaborative, and enjoyable learning environment. Therefore, the Family 100 Quiz Game can be used as an innovative learning strategy to improve student participation in Islamic Religious Education learning.

This study aims to examine the factors influencing the level of sustainability report disclosure based on OJK regulations in KBMI 3 banking companies listed on the Indonesia Stock Exchange in 2023. The level of sustainability disclosure is measured using the Sustainability Report Index (SR Index), constructed through content analysis of indicators stipulated in POJK No. 51/POJK.03/2017. The independent variables analyzed in this study include firm size, profitability proxied by Return on Assets (ROA) and Return on Equity (ROE), foreign ownership, and firm age. This research employs a quantitative explanatory approach using secondary data obtained from annual reports and sustainability reports. Data were analyzed using multiple linear regression with SPSS. The results indicate that firm size, foreign ownership, and firm age have a positive and significant effect on the level of sustainability report disclosure. Conversely, profitability measured by ROA and ROE does not have a significant effect. Simultaneously, all independent variables significantly influence sustainability report disclosure. These findings suggest that structural and ownership characteristics play a more dominant role in determining sustainability disclosure than financial performance, reflecting the regulator-driven nature of sustainability reporting in the Indonesian banking sector.

Service quality is a critical issue faced by service providers, as it plays a significant role in shaping customer satisfaction and maintaining customer trust for future services. A decline in service quality over time may negatively affect customers’ perceptions and loyalty. Therefore, this study aims to examine the effect of service quality dimensions on customer satisfaction. This research employed a quantitative approach using primary data collected through a survey method. The sampling technique used was probability sampling with a random sampling method, involving 98 customers as research respondents. Data were analyzed using SPSS version 24. The service quality dimensions analyzed in this study were Tangible, Reliability, Responsiveness, Assurance, and Empathy. The results of the analysis revealed that Tangible and Responsiveness did not have a significant effect on customer satisfaction. In contrast, Reliability, Assurance, and Empathy were found to have a significant positive influence on customer satisfaction. These findings indicate that customers place greater importance on service accuracy, employee competence, trustworthiness, and personal attention. Therefore, service providers are encouraged to prioritize improvements in Reliability, Assurance, and Empathy to enhance customer satisfaction and sustain long-term customer relationships.

Stunting remains a significant public health challenge in Indonesia, including in Paser Regency, East Kalimantan. Effective human resource (HR) management among community cadres is a critical factor in stunting prevention and intervention programs. This community service activity aimed to enhance the knowledge and skills of 33 Stunting Companion Cadres under the auspices of the Office of Population Control, Family Planning, Women's Empowerment and Child Protection (DPPKBPPPA) of Paser Regency through counseling and training on HR management principles applied to stunting mitigation. The activity was conducted using a participatory lecture method supplemented by discussion and question-and-answer sessions. Pre-test and post-test evaluations were administered to measure improvements in participants' knowledge. Results indicated a significant increase in participants' understanding of HR management concepts—including planning, recruitment, training, and performance evaluation—as applied to stunting intervention programs. The mean pre-test score was 58.3, which increased to 82.7 after the intervention (improvement of 41.8%). These findings underscore the importance of HR management capacity-building for cadres as a foundational strategy for achieving optimal stunting reduction outcomes at the community level.