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The rapid growth of beverage franchises in Indonesia, particularly MIXUE with over 4,000 outlets, necessitates an in-depth examination of the financial management strategies underlying its success. This study aims to analyze the effects of working capital management, supply chain support, and operational cost efficiency on financial performance, as well as to evaluate the investment feasibility of the MIXUE franchise in Indonesia. A mixed-methods sequential explanatory approach was employed, utilizing multiple regression analysis and capital budgeting methods including Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Return on Investment (ROI). Data were collected from 50 franchise outlets across Jakarta, Bandung, Surabaya, and Semarang during 2022-2024, supplemented by in-depth interviews with 15 franchisees and 3 regional managers. Results reveal that all three independent variables significantly and positively affect financial performance: working capital management (β = 0.412; p = 0.002), supply chain support (β = 0.358; p = 0.008), and operational cost efficiency (β = 0.486; p < 0.001) with R² = 0.684. Investment feasibility analysis indicates an average positive NPV of IDR 290.1 million, IRR 36.5%, PP 22.2 months, and ROI 56.5%. This study contributes novel insights by integrating financial and supply chain analysis within the context of beverage franchising in emerging Asian markets, providing a comprehensive evaluation framework for prospective investors and franchise system developers.

The architecture of consumer decision-making has completely changed due to the quick development of recommendation systems based on artificial intelligence (AI). The majority of earlier studies saw algorithms as instruments for forecasting and maximizing preexisting preferences. This study, however, makes a different claim: algorithmic curation actively shapes preferences rather than just reflecting them. This study creates and evaluates a structural model that examines the impact of algorithmic curation intensity on perceived search autonomy, identity resonance, affective evaluation, and the development of initial preferences. The model is based on identity-based consumption theory and the literature on human-AI interaction. The study's findings, which are based on survey data from Generation Z consumers and Structural Equation Modeling (SEM) analysis, demonstrate a contradictory dynamic: algorithmic curation improves identity resonance and directly influences initial preferences while simultaneously decreasing feelings of autonomy. The primary mediating mechanism that links algorithmic exposure to emotional assessment and preference creation is identified as identity resonance. In addition to introducing the concept of algorithmic consumer formation as a new conceptual framework for comprehending consumer behavior in the AI-based digital era, our findings expand the notion of bounded rationality toward algorithmically bounded agency.

This study aims to improve student engagement and learning outcomes in the subject of Natural and Social Sciences (Ilmu Pengetahuan Alam dan Sosial / IPAS) through the implementation of the Auditory, Intellectually, Repetition (AIR) learning model in a fourth-grade elementary school class. The initial problem indicated that student engagement in learning was still low, at 37.5%, with learning mastery reaching only 33.3% and an average class score of 68.0, which did not meet the Minimum Mastery Criteria (KKM) of 75. Therefore, improvement efforts were needed through the implementation of a more active and student-centered learning model. This study employed a Classroom Action Research (CAR) approach conducted in two cycles, where each cycle consisted of planning, action, observation, and reflection stages. The research subjects were 24 fourth-grade students. Data collection techniques included observation of student engagement, learning outcome evaluation tests, field notes, and documentation. Student engagement data were analyzed using percentages, while learning outcomes were analyzed through mean scores and the percentage of classical learning mastery. The results showed a significant improvement in each cycle. In Cycle I, student engagement increased to 62.5%, with learning mastery reaching 54.17% and an average score of 74.29, although it had not yet achieved classical completeness. In Cycle II, student engagement increased to 87.5%, with learning mastery reaching 100% and an average score of 85.42. These improvements indicate that the implementation of the AIR model was able to gradually and sustainably enhance both the learning process and outcomes. Based on these findings, it can be concluded that the Auditory, Intellectually, Repetition (AIR) learning model is effective in improving student engagement and learning outcomes in IPAS. This model can serve as an alternative learning strategy to create a more active, systematic, and student-centered learning environment.

This community service activity aims to improve students' understanding of entrepreneurship through the Socialization of Basic Entrepreneurship for Individual Businesses at SMKN 1 Banyudono, Boyolali Regency. Entrepreneurship education plays a crucial role in preparing vocational school students to enter the workforce and become independent entrepreneurs. However, students' understanding remains limited, both conceptually and practically, particularly regarding individual businesses. This activity was designed using a community organizing approach by actively involving students in all stages of the activity. The implementation method included entrepreneurship socialization, interactive discussions, case studies, simple business simulations, and short interviews. A mixed-method approach was used, namely qualitative through observation and discussion, and quantitative through pre-test and post-test evaluation. The results of the activity showed a significant increase in student understanding, marked by an increase in the average score from the pre-test to the post-test. In addition, there was a positive change in attitude in the form of increased participation, self-confidence, and student awareness of the potential of individual businesses as a realistic business option.

Multicollinearity is one of the common issues in multiple linear regression that can lead to instability in the estimation of regression coefficients. This study aims to examine the impact of multicollinearity on regression models and to evaluate the use of Ridge Regression as an alternative estimation method. The study employs simulated data consisting of 1,000 observations, including one dependent variable and four independent variables designed to exhibit high correlation. The analysis begins with model estimation using the Ordinary Least Squares (OLS) method, followed by multicollinearity testing using the Variance Inflation Factor (VIF). The OLS results indicate that most independent variables significantly influence the dependent variable, with a coefficient of determination (R²) of 0.9863. However, the high VIF values reveal the presence of strong multicollinearity in the model. To address this issue, Ridge Regression is applied, with the optimal penalty parameter determined through cross-validation, yielding a lambda value of 4.201589. The results show that the regression coefficients in the Ridge model undergo shrinkage, resulting in greater stability compared to the OLS estimates. Model evaluation indicates that the Mean Squared Error (MSE) for the OLS model is 24.77, whereas the Ridge model produces an MSE of 29.72. Although the Ridge model exhibits a slightly higher MSE, it effectively mitigates the impact of multicollinearity and provides more stable parameter estimates.

This research was conducted with the aim of developing an automation system for recording warehouse inventory based on Google Sheets to improve the effectiveness and efficiency of the stocktaking process at the Cresta Management warehouse. This research was based on problems in the semi-manual process that used logbooks and separate files for each group of goods, which caused problems such as data duplication, limited data access, lack of data transparency, and lengthy recapitulation process. This research used the Research and Development method using the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). Data were collected through observastion, interviews, questionnaires, and documentation. The result of this development is a system consisting of a login page, goods transcation recording, warehouse dashboard, stock reports, stock cards, and PDF report exports. This study also produced evaluation scores regarding the system’s feasibilty: 93,3% from the first media expert, 80% from the second media expert, 73,3% from the material expert, and 91,75% from users through User Acceptance Testing. These evaluation results indicate that the system is feasible for use and implementation in supporting warehouse operations, as it provides real time data updates, improves the efficiency of goods reporting, and enhances warehouse transactions.

Public space revitalization is an important strategy in urban development aimed at improving the quality of urban environments while stimulating social interaction and local economic activities. This study aims to evaluate the implementation of the Motang Rua Field revitalization program in Manggarai Regency and assess the extent to which the program achieved its intended development objectives. The study employed a qualitative descriptive approach. Data were collected through field observations, in-depth interviews with key informants including local government officials, project contractors, small business actors, and community members, as well as documentation related to the revitalization program. Data were analyzed through data reduction, data display, and conclusion drawing, supported by triangulation techniques to ensure data validity. The findings indicate that the revitalization program demonstrates a high level of relevance to community needs and aligns with the regional development vision of Ruteng Kota Molas. The implementation process shows strong coherence through effective inter-institutional coordination and consistency between planning and execution. The revitalization has also proven effective in improving public facilities, enhancing community social activities, and stimulating local economic growth through increased micro and small business activities. Furthermore, the program was implemented efficiently in terms of budget management and project timeline. The revitalization also contributes to strengthening socio-cultural values through the preservation of the historical figure Motang Rua and shows strong sustainability potential through increased public utilization of the revitalized space.

This study aims to analyze the potential of eupatorin found in Cat’s Whiskers (Orthosiphon stamineus) as an anticancer agent using in silico methods. Eupatorin was selected due to its promising biological activity reported in previous literature. The research employed compound structure data registered in PubChem, analyzed through PASS Online for pharmacological activity prediction, ProTox-II for toxicity evaluation, and pkCSM for ADMET parameters. The results indicated that eupatorin has a high probability of inhibiting cancer cell proliferation with significant pharmacological activity values. Toxicity predictions showed a safe profile with an LD50 supporting its potential therapeutic use. ADMET analysis demonstrated that eupatorin possesses good bioavailability, adequate absorption and distribution, and minimal metabolic interactions, supporting its efficacy as an anticancer compound. These findings suggest that eupatorin could be an important candidate for herbalbased drug development, particularly for cancer therapy, and provide opportunities for further research through in vitro and in vivo experiments to validate anticancer activity comprehensively.

This study aims to analyze the in silico profile of the compound orientin derived from the water hyacinth plant (Eichhornia crassipes) as a potential antioxidant candidate. Orientin was selected based on its chemical structure data registered in PubChem, which provides complete information regarding molecular identity, physicochemical properties, and 2D and 3D structural representations. The prediction of biological activity was conducted using PASS Online, which indicated that orientin possesses a promising likelihood of exhibiting antioxidant activity according to relevant probability values. Furthermore, the safety assessment of the compound was carried out through ProTox-II to identify potential toxicity, including toxicity class, possible hepatotoxic effects, and other predicted safety parameters. To determine its pharmacokinetic profile, pkCSM was employed to predict ADMET characteristics such as absorption, distribution, metabolism, excretion, and additional toxicity risks. The results of these analyses show that orientin demonstrates favorable potential as an antioxidant candidate, supported by predicted pharmacological properties and relatively low toxicity levels according to in silico evaluations. Therefore, orientin has promising potential for further development in subsequent in vitro and in vivo studies.

This study analyzes the implementation of Good Governance in enhancing consular services at the Consulate General of the Republic of Indonesia in Tawau, using a qualitative approach with a case study paradigm. The findings reveal several key points: First, transparency in consular services is achieved through openness about procedures, fees, and service time standards via official platforms like websites, social media, and notice boards. This transparency reduces information asymmetry, prevents maladministration, and builds trust. Second, service accountability is reflected in the timely execution of passport renewals, Emergency Travel Documents, and document legalization, following Standard Operating Procedures (SOPs). Accountability is further demonstrated through performance reports, complaint channels, and service evaluations. Third, public participation is fostered through two-way communication, complaint mechanisms, and collaboration with Indonesian citizen and migrant worker communities. The mobile consular service program also enhances accessibility. Finally, consular services are based on clear legal frameworks, ensuring the legitimacy of services and protection for Indonesian citizens and migrant workers. Overall, the study concludes that the implementation of Good Governance principles at the Consulate General of Indonesia in Tawau significantly improves the quality of consular services.

This study aims to comprehensively evaluate the potential pharmacological activities and safety profiles of seven secondary metabolite compounds (Caffeic Acid, Syringic Acid, Quercetin, Luteolin, p-Coumaric Acid, Ferulic Acid, and Epicatechin) identified in the Bajakah plant (Spatholobus littoralis Hassk.). The research approach integrates in silico analysis using the PubChem database, biological activity prediction via PASS Online, oral toxicity assessment through ProTox-II, and pharmacokinetic evaluation using pkCSM, which were subsequently validated through an empirical literature review. The results indicate that these compounds exhibit significant activity probabilities, particularly as antimutagenic, antiseptic, and antioxidant agents. Luteolin demonstrated the highest antimutagenic potential, while Quercetin showed dominant antioxidant activity. Toxicity profiling revealed that Luteolin and Caffeic Acid possess the highest safety levels (Class 5), whereas Quercetin requires special attention (Class 3). These computational findings strongly correlate with empirical evidence demonstrating that Bajakah extract exhibits broad-spectrum antibacterial activity against Staphylococcus aureus, antifungal activity against Candida albicans, as well as high antioxidant and anti-inflammatory capacities. This study provides a strong molecular foundation for the development of Bajakah as a safe and effective phytopharmaceutical candidate.

This community service project aims to accentuate inclusive values among the youth of Tanjung Dapura, Makassar City, to strengthen social cohesion in a heterogeneous urban environment. The implementation methods included team consolidation, material preparation, and strategic coordination with local government authorities. The core activities were conducted through participatory counseling and Focus Group Discussions (FGD) to independently analyze social exclusion challenges. The materials focused on the importance of respecting diversity and the strategic role of youth as inclusive agents of change. The results indicated a significant increase in participants' understanding of inclusion literacy and their ability to formulate creative solutions for local discrimination issues. Evaluation through observation and reflection confirmed a paradigm shift among the youth from passive tolerance toward active participation in embracing differences. This project concludes that the synergy between critical education and collaborative dialogue successfully transforms youth into resilient pillars of social harmony. The accentuation of these inclusive values is expected to become the foundation for a more just and sustainable coastal community in Makassar.

Public service performance serves as a crucial measure of how effectively government agencies provide services to the public. Rising expectations from the public compel governments to ensure that services are delivered in an efficient, open, responsible, and responsive manner. Within the realm of public administration reform, the standard of public services has emerged as a key issue for governments looking to enhance public confidence and governance. The Indonesian government has created the Public Service Index (Indeks Pelayanan Publik/IPP) as a tool to assess the performance of public services. The IPP functions as an all-encompassing measurement system to evaluate the quality, efficiency, and responsibility associated with public service provision across government entities. This research intends to explore the definition of public service performance, the legal framework that regulates public services in Indonesia, and the metrics employed for calculating the Public Service Index. The study uses a qualitative descriptive method and a literature review approach, evaluating various pertinent books, regulations, and scholarly articles concentrating on public service management and performance evaluation. The results indicate that the Public Service Index plays a vital role in assessing service quality, institutional effectiveness, and the degree of public satisfaction. Additionally, the application of the IPP measurements fosters transparency, bolsters accountability, and encourages ongoing enhancements in public service delivery. Therefore, enhancing public service performance necessitates robust regulatory backing, institutional dedication, and the utilization of clear and quantifiable performance metrics to guarantee enduring improvements in service quality.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

 Low student thesis completion productivity is a challenge in higher education, particularly at UIN Palangka Raya. Thesis writing requires self-regulation skills and time discipline to enable students to complete their final assignments effectively and on time. This study aims to analyze the role of self-regulated learning and time discipline in improving the thesis completion productivity of final-year students. The study used a qualitative approach with a case study design of five final-year students who were in the process of completing or had completed their theses. Data collection techniques included in-depth interviews, limited observation, and documentation. The data were then analyzed using the Miles and Huberman interactive model through the stages of data reduction, data presentation, and conclusion drawing. The results indicate that self-regulated learning plays a role in helping students plan goals, control motivation and emotions, and conduct consistent self-evaluation. Time discipline has been proven effective in reducing procrastination through the implementation of daily schedules, prioritization, and distraction management. Therefore, the integration of self-regulated learning and time discipline is an important strategy in increasing the thesis completion productivity of students and supporting sustainable academic success.

This study analyzes the governance performance of information systems at the Career Center of Universitas Muhammadiyah Jambi using the COBIT 2019 framework. The primary objective is to evaluate the maturity level of IT governance and provide recommendations to enhance the efficiency and effectiveness of information systems in supporting the institution’s strategic objectives. Data were collected through interviews, observations, and questionnaires involving system users and decision-makers within the Career Center. The findings indicate that several areas require greater attention, particularly Managed IT Changes, Managed Risk, and Managed Operations. These domains are considered critical in improving the management and reliability of the existing information systems. The study also identifies several challenges affecting system performance, including limited system integration, insufficient human resources, and the use of outdated technology. Based on these findings, the research recommends strengthening the organizational structure, improving the competence of human resources, and optimizing IT processes in accordance with COBIT 2019 standards. Implementing these improvements is expected to increase IT governance maturity, enhance service quality for students and alumni, and better support the university’s strategic development goals.

This study aims to analyze the persuasive communication carried out by Bank Sampah Mutiara Timor in educating waste management among the people of Kupang City and to identify the obstacles faced in the communication process.This research uses a qualitative approach with a case study method and is based on a constructivist paradigm. Data collection techniques include in-depth interviews, participatory observation, and documentation. The informants consist of the managers of Bank Sampah Mutiara Timor and community members who participate as waste bank customers. Data analysis is conducted using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing and verification. The theoretical framework applied in this study is Joseph A. DeVito’s persuasive communication theory.The results show that the persuasive communication of Bank Sampah Mutiara Timor is implemented through several strategies, including direct socialization, waste management education, storytelling approaches, and hands-on practices in waste sorting and management. The communication process is carried out in three stages: preparation, implementation,and evaluation. This persuasive communication has been able to increase public awareness and understanding of the importance of proper waste management, although community participation has not yet been fully optimal. The obstacles encountered include cognitive or perceptual barriers, technical limitations, and a lack of public awareness and consistency in sorting waste.This study concludes that persuasive communication plays an important role in community-based waste management education. Therefore, Bank Sampah Mutiara Timor is encouraged to continuously develop innovative and sustainable communication strategies to further enhance community participation in waste management efforts in Kupang City.

Interpersonal communication is the main foundation in the process of communication and interaction in life, including in the context of caregivers and children with disabilities at orphanages, enabling the creation of emotional closeness, also known as bonding. This study uses a qualitative approach with data collection methods through interviews, participatory observation, and documentation studies. The results of this study illustrate that the interaction process between caregivers and children with disabilities occurs through interpersonal communication involving the use of verbal and nonverbal communication. In addition, emotional closeness through the communication process does not form immediately, but rather through stages leading to emotional closeness established in the interaction between caregivers and children with disabilities at the Bhakti Luhur Orphanage in Baumata Village. Nevertheless, in the interaction process, there are certainly obstacles that disrupt the effectiveness of communication and interaction, namely limitations in resources, learning challenges in interacting with children with special needs, and communication problems such as miscommunication. However, all of these can be overcome by caregivers who strive to become parental figures for children with disabilities through evaluation processes and intensive approaches with each child.

This study aims to identify the learning needs of deaf students in internship programs, examine the challenges they face, develop appropriate solutions, and design as well as evaluate a visual module-based learning model to improve their work skills. The study used a Research and Development (R&D) approach with a 4D model: Define, Design, Develop, and Disseminate. The participants included deaf students from special needs high schools (SMALB) involved in vocational internships, mentor teachers, and industry supervisors. Data were collected through observation, interviews, questionnaires, documentation, and focus group discussions, and analyzed using qualitative techniques supported by descriptive analysis. The findings indicate that deaf students require visual, structured, and easily understandable work instructions supported by symbols, color codes, and guidance materials. Major challenges include limited verbal communication, difficulty understanding instructions, and risks of procedural errors. To address these issues, a systematic and communicative visual module-based learning model was developed, incorporating collaborative support from schools and industry. The resulting model integrates planning, implementation, mentoring, and evaluation stages, and has proven feasible and effective in enhancing students’ independence, technical competence, and overall work readiness.