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This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

Audit failure and inconsistencies in previous research results regarding the influence of auditor experience and self-efficacy on audit judgment serve as the main drivers of this study. This study aims to re-examine the relationship between auditor experience and self-efficacy on audit judgment at Public Accounting Firms in South Jakarta. Using a quantitative approach, this study employs purposive sampling techniques by distributing questionnaires as a data collection instrument, involving 70 auditors working at Public Accounting Firms in South Jakarta. The results of multiple linear regression analysis using IBM SPSS version 26 indicate that both auditor experience and self-efficacy have a positive and significant influence, both partially and simultaneously, on audit judgment. These findings provide evidence that improving auditors' work experience and self-confidence is crucial in producing high-quality audit decisions. This study offers new insights that can be used to enhance audit quality through the development of experience and strengthening auditors' self-efficacy. The findings are expected to contribute to better audit practices by focusing on factors that can improve auditors' ability to make accurate and effective judgments.

Background: In the competitive healthcare landscape, where human resources are pivotal to organizational success, affective commitment defined as emotional attachment to the workplace is essential for nurse retention and service quality. Satya Negara Hospital in North Jakarta exemplifies the challenges faced by Indonesian healthcare institutions, with a notably high nurse turnover intention of 30% in 2024, signaling low affective commitment and underscoring the urgency to identify its drivers. While person-job fit and career development are established antecedents of commitment, their combined influence within Indonesia’s nursing context, along with the potential moderating role of meritocracy, remains underexplored.. Methods:  Using a quantitative, cross sectional design, data were collected via a validated questionnaire from all 108 nurses at the hospital and analyzed using multiple regression.. Results: The results revealed that person-job fit, career development, and meritocracy collectively explain 96.6% of the variance in affective commitment. Furthermore, when meritocracy was tested as a moderating variable, the explanatory power of the model increased significantly, with the adjusted R² value rising from 96.6% to 98.5%. This indicates that the presence of a meritocratic system substantially amplifies the positive effects of both person-job fit and career development on commitment.. Conclusion: The study concludes that a synergistic combination of job fit, growth opportunities, and a merit-based system is fundamental to fostering nurses’ emotional attachment. These findings contribute to organizational and psychological theory integration and offer practical human resource strategies for enhancing nurse commitment and reducing turnover in healthcare settings.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Surveillance for diarrhea at the district level in Indonesia is still affected by the fragmented nature of the District Health Information System (DHIS) and Early Warning and Response System (EWARS), inconsistent reporting, patchy data interoperability, and the resulting public health delays. Although there are systems in place like the DHIS and EWARS, the persistent use of hybrid systems that combine manual and digital data entry, as well as the different skill levels of users, continues to produce issues of incompleteness, untimely reporting, and inaccurate data. The present study investigated the deficiencies in surveillance reporting of diarrhea cases, the surveillance data to determine the degree of integration and also investigated the health workers perceptions of the barriers to effective reporting. A mixed methods approach was adopted in this study where we investigated quantitatively the DHIS and routine diarrhea reports submitted for the entire year of 2023, and combined that with qualitative, in-depth interviews with the relevant surveillance officers, program managers, and district staff. The quantitative analysis indicated gaps in reporting about 55% in terms of completeness, and consistency of reporting and also significant differences were found between the manual register, DHIS, and EWARS whereby the integration of these systems was found to be low. The qualitative analysis pointed to the combination of disconnected workflows, limited cross-system interoperability, inadequate system training, excessive workloads, and weak organizational feedback, as the main barriers to effective reporting. The combination of these two datasets illustrates the fact that both system deficiencies and organizational factors are primary drivers of the reporting. Closing the gaps will require system level changes in the interoperability of reporting systems, simplified reporting workflows, training, reporting, and reporting feedback loops.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

This study analyzes the strategic role of quality-based marketing models in enhancing the competitiveness of kombucha products, with a specific focus on Rumah SCOBY DBA, produced by the Yayasan Dharma Bintang Akademia. By integrating Total Quality Management (TQM), Quality Assurance (QA), and Quality Control (QC), the research explores how quality-driven frameworks contribute to marketing effectiveness, consumer trust, brand positioning, and sustainable performance in the functional beverage industry. Employing a Systematic Literature Review (SLR) combined with conceptual analysis, the study systematically examined publications from 2015 to 2025 across leading academic databases, focusing on themes of quality management, functional beverage marketing, kombucha production, consumer behavior, and digital strategies. The findings reveal that product quality—characterized by fermentation stability, microbiological safety, and nutritional consistency—serves as the primary driver of consumer purchase intention. Process quality, through standardized SOPs, hygiene protocols, and traceability systems, reinforces credibility, while service quality, including transparent labeling, health education, and digital engagement, strengthens brand trust. Integrating TQM principles into marketing fosters consumer loyalty, differentiates brands in competitive markets, and supports long-term sustainability. This study provides practical guidance for producers, community-based enterprises, and policymakers to adopt quality-driven marketing models, offering a novel conceptual framework tailored to kombucha products and mapping future research directions in functional beverage innovation.

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia and Malaysia constitute the core drivers of employment and economic growth, yet many remain constrained by limited competitiveness in international markets due to uneven digital adoption. This study addresses the problem of how international digital transformation can be effectively leveraged to enhance the performance and sustainability of Smart MSMEs, with the objective of identifying key digital strategies that support sustainable business development. Employing a mixed-methods approach, the research combines quantitative surveys of MSME actors with qualitative in-depth interviews of business owners who have implemented international digital initiatives, including cross-border e-commerce, global payment systems, and international digital marketing. The data are analyzed using descriptive and comparative techniques to examine enabling factors, challenges, and cross-country differences between Indonesia and Malaysia. The findings indicate that international digital transformation significantly improves market access, operational efficiency, and business resilience, while strategic integration of digital platforms and international networks strengthens long-term sustainability. The study concludes that developing Smart MSMEs through internationally oriented digital transformation is a critical pathway for achieving sustainable business development and enhancing regional and global competitiveness, and it offers strategic and policy-oriented recommendations for MSME stakeholders.

This study investigates the influence of financial literacy, entrepreneurship training, and financial inclusion on the performance of micro, small, and medium enterprises (MSMEs) through business sustainability. Using a systematic literature review (SLR) examines the impact of financial literacy, entrepreneurship training, and financial inclusion on MSME performance through business sustainability mediation by synthesizing empirical data from 12 research (2020–2025) across Scopus and Web of Science. Positive direct effects on sustainability (financial literacy via budgeting/risk management; training via adaptive resilience; inclusiveness via digital access) and performance metrics like profitability/growth are confirmed by results using the PRISMA 2020 flow.  Amid obstacles like financial access restrictions and COVID-19 disruptions, business sustainability appears as a crucial mediator, linking these factors to improved MSME results in developing contexts (Africa, Indonesia). Practical implications compel policymakers to give integrated literacy programs, contextual training, and inclusive finance top priority. Theoretical contributions combine financial literacy, entrepreneurial learning, and sustainability ideas into a holistic mediation model. The results highlight the importance of integrating financial education, entrepreneurial skill development, and inclusive financial systems to strengthen MSME resilience and competitiveness. This study provides practical implications for policymakers, financial institutions, and support organisations in designing effective interventions that foster sustainable business growth. The research also contributes theoretically by confirming the mediating role of business sustainability in the relationship between financial literacy, entrepreneurship training, financial inclusion, and MSME performance. Future studies may expand these insights by examining additional contextual factors such as digital technology adoption and business networking that further support sustainable MSME development.

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

Brake discs are one of the motorcycle spare parts that function to connect and reduce speed when the motorbike is moving, although very simple, this spare part is part of the braking system and has a very important role, without braking it will endanger the driver and other road users. To determine the hardness of the motorcycle brake disc on two original brake discs and variation brake discs on the Yamaha Vision sport motorbike by conducting Rockwell hardness tests on the original and variation brake discs with 10 test variable points. The results obtained for the average value at the level of hardness on the original disc sample are 55.1 HRC and the average value on the variation disc sample is 44.6 HRC, and the conversion hardness value from the Rockwell test. For Brinell testing and tensile testing from the results of Rockwell hardness testing, the average Brinell and tensile test values ​​were converted from the test site with the average Brinell conversion results for the original disc being 575 HBS, while the average variation disc value was 417.1 HBS, the conversion tensile test value with the results on the original disc was 1626 N/mm² and the variation disc was 1427 N/mm² with 10 variable point Rockwell testing and the conversion value of the Brinell hardness test and the original disc tensile test value was still greater than the variation disc tensile test value.

This research examines money politics as a root problem in Indonesia’s democratic system, focusing on the 2019 and 2024 general elections. Money politics refers to the practice of distributing cash or goods by candidates, campaign teams, or volunteers to influence voters’ political choices. This study employs a qualitative method with a literature study approach to analyze several cases that occurred across different regions in Indonesia. The findings reveal that money politics was widespread during both elections, with the main modus operandi involving the distribution of cash, basic goods, and facilities. This practice not only violates the principles of free and fair elections but also undermines citizens’ dignity, weakens popular sovereignty, and serves as a major driver of political corruption. Contributing factors include power ambition, vulnerable economic conditions, low political education, weak oversight, and entrenched transactional political culture. To address this issue, the research highlights the importance of political party reform and strengthening democratic education, particularly through civic education programs. These efforts aim to increase political awareness among citizens and improve the overall quality of Indonesia’s democracy.

The 2006 Yogyakarta earthquake, with a magnitude of 6.3 Mw, caused severe structural damage and significant casualties, highlighting the high seismic vulnerability in the Special Region of Yogyakarta (DIY). Tectonic activity in this region is strongly influenced by the subduction of the Indo-Australian Plate beneath the Eurasian Plate and the presence of active faults, particularly the Opak Fault. Local geological conditions dominated by young volcanic deposits and unconsolidated alluvial sediments further enhance seismic wave amplification. This study aims to estimate the Peak Ground Acceleration (PGA) in Prambanan District using the empirical McGuire (1977) attenuation relationship based on parameters from the 2006 earthquake. Analysis was conducted on 113 observation points to map the spatial distribution of ground acceleration. The results indicate that PGA values range from 29.2 to 35.6 gal, with the highest values concentrated in the southern and southeastern parts of Prambanan, characterized by alluvial deposits of the Opak River. In contrast, lower PGA values occur in the northern area underlain by more consolidated young volcanic materials. These findings emphasize the significant influence of lithology and geomorphology on local site response to seismic shaking. The results provide an important basis for seismic hazard assessment and mitigation planning in Prambanan and surrounding areas.

This study aims to analyze the level of flood hazard in Baturaja Barat District, Ogan Komering Ulu Regency, by applying a spatial approach using Geographic Information Systems (GIS) through the overlay method. The analysis was carried out by integrating six main physical parameters, namely rainfall, land use, elevation, slope, river density, and soil type. Each parameter was assigned a score and weight according to its influence on flood potential and subsequently processed spatially to produce a flood hazard map. The results indicate that the Baturaja Barat District area is classified into three hazard levels: low (3.25%), moderate (70.64%), and high (25.84%). Areas with high hazard levels are predominantly characterized by densely populated settlements situated at low elevations and in close proximity to river networks, particularly in Tanjung Karang, Air Gading, Talang Jawa, Karang Agung, and surrounding villages. These findings highlight that land-use changes, topographic conditions, and the distribution of river networks play significant roles in increasing flood risk. The results of this study are expected to serve as a foundation for spatial planning, the strengthening of disaster mitigation policies, and the enhancement of community preparedness against flood hazards in the region.

Digital transformation has become a major driver in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in the era of global competition. However, scientific evidence regarding the pathway of digital transformation and its impact on market performance remains separately distributed and has not been systematically synthesized. This study conducts a Systematic Literature Review (SLR) based on PRISMA 2020 on international publications within the 2013–2024 range. The results of the analysis indicate that the digital transformation pathway encompasses digital capability, digital orientation, digital integration, digital strategy alignment, and the utilization of operational technology. Each pathway contributes differently to market outcomes such as sales growth, customer retention, market expansion, and competitive advantage. The study also found the presence of moderating and mediating roles through innovation capability, dynamic capability, organizational culture, and competition intensity. This research produces an integrated conceptual model and recommendations for a further research agenda to deepen strategic management theory in the context of MSMEs.

The transition to the remote working era has reached a point of stabilization as a fundamental structure in the 2025 global employment landscape. This systematic literature review aims to evaluate the impact of remote work on employee productivity, mental well-being, and the role of Artificial Intelligence (AI) integration. By analyzing large-scale secondary data (>10,000 participants) from various authoritative databases, the study finds that productivity experienced a net increase of 13% to 22%. The primary driver is the average commute time saving of 72 minutes per day, which is converted into productive work hours. However, findings also indicate a risk of digital burnout in 69% of respondents due to an "always-on" work culture. AI integration has assisted 65% of workers in automating administrative tasks, shifting focus toward strategic work. This research concludes that the success of remote work models requires a shift in leadership style toward trust-based management and formal policies regarding the "right to disconnect.".

Micro-Hydro Power Plant (MHPP) is a renewable energy solution suitable for remote rural areas with river flow availability. This study was carried out in Kampung 17, Batulawang Village, West Java, through the Community Service Program of HMM ITPLN, by designing and implementing a simplified MHPP system. The analysis indicates a hydraulic power potential of 1.511 kW with an effective head of 3.08 m and a discharge of 0.005 m³/s. Of this potential, the maximum utilized power reached 1.108 kW, equivalent to 73.32% of hydraulic energy utilization. The system is capable of producing approximately 26.6 kWh per day or around 798 kWh per month, matching the total demand of 12 households and one mosque in Kampung 17. If this demand were supplied by the national grid (PLN) under the R-1/TR 1300 VA category at Rp1,444.70 per kWh, the monthly cost would amount to approximately Rp1,152,870. Hence, the MHPP enables annual savings of around Rp13.8 million while ensuring local energy independence

Purpose – This article aim For develop approach new in management source Power strategic human resources with integrate dimensions adaptive and cognitive in context digital transformation of organizations . Research This based on synthesis theoretical from works Prihantoro et al . (2022–2023), in order to review return the role of HR as driver main superiority competitive based knowledge in the era of disruption technology . Design/ methodology / approach – This article use method studies library conceptual with approach qualitative- descriptive analysis done to six work main topic that discusses strategic HR topics , digitalization organization and learning organization . Synthesis done For building an integrative model that emphasizes influence digital transformation towards performance and development of organizational human resources . Findings – Results of analysis show that approach adaptive-cognitive can strengthening HR strategy in face change environment business . Merger digital competence , ability Study organization , as well as leadership transformative proven become key in optimize HR functions in general strategic . HR is not Again only nature administrative , but is driving force main innovation and efficiency . Implications practical – Organization need designing repeat digital learning- based HR policies , building ecosystem management knowledge , as well as push culture Innovation . Data- driven and intelligence-driven HR practices artificial is also recommended For taking decision strategic . Originality / Value – This article offer novelty conceptual through integration theory learning organization and approach mark in digital HR management . Contribution This expand traditional HRM coverage to realm more strategic​ responsive to challenge technology .

River pollution has become one of the serious environmental issues in Indonesia, including in the Gelis River in Kudus City. The lack of public awareness—especially among the younger generation—in maintaining river cleanliness highlights the need for effective and engaging educational media. This study aims to design an Android-based educational game as an interactive learning tool for children aged 7 to 12 years to raise their awareness about the importance of keeping rivers clean. The research method used is Research and Development (R&D), employing the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The game developed, titled RiverCourse: Petualangan Menjaga Sungai (RiverCourse: The Adventure of Protecting the River), features a sidescrolling mechanic with a visual style combining pixel art and cartoons, suited to the cognitive development stage of children. Testing was conducted on the target age group through observation and simple questionnaires.