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Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

This study aims to deeply analyze the contribution of work motivation and work environment conditions in improving employee satisfaction and performance. The methodology applied is a Systematic Literature Review (SLR) following the guidelines of Wahono (2015) and Kitchenham (cited in Fauzi et al., 2018). Data were collected through literature exploration in Google Scholar, Garuda Ristekdikti, and university journal websites with a publication limit between 2020 and 2025. Through a selection process, a number of relevant articles were successfully collected for narrative analysis. The results of the study revealed that work motivation has a positive and significant influence on employee performance, both directly and indirectly through job satisfaction as a mediator. A supportive work environment also plays a crucial role in increasing employee enthusiasm, productivity, and job satisfaction. Overall, the synergy between high work motivation and a conducive work environment can create maximum performance and strengthen employee loyalty to the organization. The results of this study provide importance for human resource managers to pay more attention to motivation and work conditions as an approach to improving performance and efficiency in organizations.

This study aims to evaluate the effectiveness of various doses of 6.25% Poly Aluminium Chloride (PAC) and 0.1% polymer flocculant in reducing Total Suspended Solids (TSS) and assessing pH changes in coal stockpile wastewater at PT PLN Nusantara Power UP Paiton Unit 9. Stockpile wastewater typically contains high levels of suspended solids originating from water spray activities that carry fine coal particles. The coagulation–flocculation process was performed using the jar test method with PAC dosages of 35 ppm, 50 ppm, and 65 ppm, along with flocculant dosages of 6 ppm and 7 ppm. pH and TSS were analyzed before and after treatment to assess process effectiveness. The results indicate that a PAC dosage of 35 ppm combined with a 6 ppm flocculant achieved the highest TSS removal efficiency of 98.15%. Increasing PAC dosage resulted in reduced performance due to overdosing effects, leading to charge destabilization and impaired floc formation. These findings highlight the importance of optimizing coagulant dosage to improve stockpile wastewater quality for safe reuse in operational activities.

This study aims to analyze the influence of work discipline and work motivation on employee performance at Bank Sulutgo Tondano. The research method used is a quantitative approach with multiple linear regression analysis. The population in this study consists of all 76 employees of Bank Sulutgo Tondano, and the sample was obtained using a saturated sampling technique. Data collection was carried out through questionnaires. The results of the study indicate that partially, work discipline has a positive and significant effect on employee performance, and work motivation also has a positive and significant effect on employee performance. Simultaneously, work discipline and work motivation have a significant effect on employee performance, with a coefficient of determination of 44.4%, indicating that these two variables are able to explain the variation in employee performance. Meanwhile, 55.6% is influenced by other factors outside the scope of this study. Therefore, it can be concluded that improving work discipline and work motivation will have an impact on employee performance at Bank Sulutgo Tondano.  

Abstract. This study analyzed the effectiveness and impact of extracurricular programs at SMP Nurul Huda in Bogor Regency, Indonesia, aiming to identify areas for improvement in fostering holistic student development.  The research employed a qualitative approach, gathering data through interviews with eleven students and one teacher, supplemented by direct observation of extracurricular activities and document review.  Findings revealed that the effectiveness of the four extracurricular programs (scouting, pencak silat, flag raising team, and archery) was moderate, indicating significant room for improvement.  Interviews with students and teachers highlighted the need for enhanced performance in competitions, more structured evaluation methods, and increased oversight from school administration.  To optimize the programs' impact, the study recommends improvements in student performance, more robust evaluation systems, stronger administrative oversight, enhanced resources, and professional development for instructors.  These changes would better support the holistic development of students and contribute to a more effective extracurricular program.   Keywords: effectiveness , extracurricular activities, students   Abstrak. Penelitian ini menganalisis efektivitas dan dampak program ekstrakurikuler di SMP Nurul Huda, Kabupaten Bogor, Indonesia, dengan tujuan mengidentifikasi area peningkatan untuk pengembangan holistik siswa.  Penelitian ini menggunakan pendekatan kualitatif, mengumpulkan data melalui wawancara dengan sebelas siswa dan satu guru, dilengkapi dengan observasi langsung kegiatan ekstrakurikuler dan peninjauan dokumen.  Hasil penelitian menunjukkan bahwa efektivitas empat program ekstrakurikuler (pramuka, pencak silat, paskibra, dan panahan) berada pada tingkat sedang, yang mengindikasikan adanya ruang yang signifikan untuk perbaikan.  Wawancara dengan siswa dan guru menyoroti perlunya peningkatan prestasi dalam kompetisi, metode evaluasi yang lebih terstruktur, dan pengawasan yang lebih ketat dari pihak sekolah.  Untuk mengoptimalkan dampak program, penelitian ini merekomendasikan peningkatan prestasi siswa, sistem evaluasi yang lebih kuat, pengawasan administrasi yang lebih efektif, peningkatan sumber daya, dan pengembangan profesional bagi instruktur.  Perubahan-perubahan ini akan lebih mendukung pengembangan holistik siswa dan berkontribusi pada program ekstrakurikuler yang lebih efektif.   Kata kunci: efektivitas, ekstrakurikuler, siswa  

This study aims to identify how e-government and competence affect employee performance at the Jambi City Regional Tax and Retribution Management Agency. This study is based on the fact that government agencies need to utilize information technology and improve their human resource capabilities to improve their work efficiency. The method used in this study is quantitative with multiple linear regression analysis techniques used. After the questionnaire was distributed to 54 members of the Jambi City BPPRD, the data were processed using the SPSS version 25 program. The results of the study indicate that e-government partially has a positive and significant influence on employee performance, and competence also partially has a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency, and simultaneously, e-government and competence together provide a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

This study conducts a Systematic Literature Review to examine the relationship between job enrichment, the Human Resource Information System, and work–life balance on organisational performance through the mediating role of innovative work behaviour, with a particular focus on medium-scale Micro, Small, and Medium-Sized Enterprises. Drawing on Scopus-indexed publications from 2020 to 2025, the review identifies theoretical and empirical findings that highlight the importance of human resource practices and digital transformation in strengthening organisational innovation. The analysis reveals that job enrichment significantly enhances employee autonomy, engagement, and intrinsic motivation, which in turn fosters innovative work behaviour. Likewise, the Human Resource Information System contributes to performance improvement by increasing decision-making efficiency and supporting data-driven innovation processes. Meanwhile, work–life balance promotes creativity and reduces stress, thereby fostering an environment conducive to innovative thinking. Furthermore, innovative work behaviour is found to mediate the relationship between human resource practices and organisational performance by transforming individual innovation into collective organisational outcomes. These findings indicate that integrating the Human Resource Information System with job enrichment and work–life balance policies can substantially enhance the competitiveness and productivity of medium-scale Micro, Small, and Medium-Sized Enterprises. This study contributes to theoretical advancement in innovation-oriented human resource management and offers practical implications for developing adaptive human resource systems to ensure sustainable business performance in the digital era.

This study investigates the long-term impact of adaptive digital learning ecosystems on students' self-regulated learning (SRL) behaviors and academic persistence. Adaptive learning systems personalize the learning experience by adjusting content and feedback to meet individual students' needs, preferences, and performance. These systems enhance engagement, motivation, and learning outcomes through real-time adjustments and continuous feedback. The research aims to explore how adaptive learning systems influence SRL and academic persistence in university courses over time. Using a longitudinal quantitative design, the study tracks SRL behaviors and academic persistence at multiple points during the semester. Results show significant improvements in SRL behaviors such as goal setting, planning, self-monitoring, and reflection among students engaged with adaptive learning environments. These students exhibited greater autonomy, improved metacognitive awareness, and higher motivation. Additionally, students in adaptive systems demonstrated greater academic persistence, as indicated by more time spent on tasks, higher assignment completion rates, and sustained engagement. The findings suggest that adaptive learning platforms promote SRL and academic persistence by offering personalized, responsive learning experiences. Unlike static, non-adaptive environments, adaptive systems provide dynamic support, enhancing students' ability to regulate their learning and remain engaged despite challenges. The study concludes that adaptive learning systems are vital for long-term academic success, though further research is needed to assess the sustainability of these effects in various educational settings and among diverse student populations.

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.

The increasing intensity of business competition requires companies to maintain strong financial conditions to avoid financial distress that may disrupt business continuity. This study aims to assess the financial stability and predict the potential bankruptcy of PT Sido Muncul Tbk for the 2022–2024 period using the Altman Z-Score model. A descriptive quantitative approach was applied, utilizing secondary data obtained from annual reports published by the Indonesia Stock Exchange and the company’s official website. Five key ratios in the Altman model were used as indicators to evaluate the company’s financial position and resilience. The results show Z-Score values of 4.74 in 2022, decreasing slightly to 4.66 in 2023, and rising again to 4.79 in 2024. These scores are significantly above the safe threshold of 2.675, indicating that the company is in a healthy financial state with a very low risk of bankruptcy. Overall, PT Sido Muncul Tbk demonstrates stable financial performance, supported by a strong capital structure and consistent operational results. The Altman Z-Score model also proves to be an effective early-warning tool for identifying potential financial problems.

This study aims to examine the strengthening of school literacy culture through the establishment of a Literacy Corner at SMPN 4 Mangarabombang as a strategy to enhance students’ reading interest and engagement in literacy activities. The research problem arises from students’ low reading intensity and the limited availability of literacy-supporting facilities at school. A qualitative descriptive method was employed, utilizing observation, interviews, and documentation as data collection techniques. The findings indicate that the Literacy Corner significantly improves students’ access to reading materials, fosters more consistent reading habits, and creates a more conducive learning environment. Moreover, the involvement of teachers and students in managing the Literacy Corner strengthens their sense of ownership and increases active participation in school literacy activities. By facilitating a space dedicated to reading, the initiative addresses the challenges related to the scarcity of resources and encourages students to make reading a regular activity. Teachers also reported increased student motivation and engagement in literacy programs, which translates into greater academic performance. These results highlight that establishing a Literacy Corner is an effective and strategic approach to reinforcing school literacy culture. Furthermore, it can serve as a model for other schools aiming to enhance their literacy programs and improve student engagement in reading activities.

Presidential Instruction Number 1 of 2025 concerning State Expenditure Efficiency gave rise to a fiscal paradox at the beginning of the new administration, with a cut of Rp306.69 trillion facing a 17.9% APBN deficit for flagship programs such as Free Nutritious Meals, which triggered doubts about public trust, especially students at the University of Jambi affected by the BOPTN adjustment. This study analyzes the influence of student perceptions on the dimensions of effective-efficient (X1) and transparent-accountable (X2) policies on public trust (Y) as an indicator of government legitimacy. A quantitative survey approach was applied to 400 active students at the University of Jambi (proportional random sampling using the Slovin e=0.05 formula), with SPSS multiple linear regression analysis after classical assumption testing, validity (r> r-table), and reliability (Alpha Cronbach's 0.920 (x1); 0.949 (x2); 0.918 (y)). The results show a significant simultaneous effect (F=200.951; sig=0.000), partial X1 is dominant (t=7.116; β=0.162; sig=0.000) and X2 is significant (t=5.532; β=0.110; sig=0.000), with R²=0.503 explaining 50.3% of the variation in trust. The findings confirm the theory of Easton (1965) and Weber (1947) that efficiency performance evaluation shapes trust, so it is recommended that a real-time APBN dashboard, transparent communication to regional PTNs, and fiscal literacy strengthen the legitimacy of good governance.

Employee performance is a strategic factor in the success of regional banking organizations that are oriented towards service and achieving business targets. However, empirical evidence at PT Bank Sumut Kantor Cabang Koordinator Medan, indicates that employee performance tends to stagnate in the "Good" category during the 2021–2024 period. This condition is thought to be related to career development that is not yet optimally structured, organizational commitment that has not been fully actualized in work behavior, and inadequate extrinsic motivation. This study aims to analyze the effect of career development and organizational commitment on employee performance through extrinsic motivation as a mediating variable. The study used a quantitative approach with a survey method of employees at PT Bank Sumut Kantor Cabang Koordinator Medan. Data were analyzed using Structural Equation Modeling. The results show that career development and organizational commitment influence extrinsic motivation, and extrinsic motivation plays a role in improving employee performance and mediating the relationship between variables. These findings strengthen the role of extrinsic motivation as an important mechanism in bridging human resource policies and employee performance in regional banking.

Flower disease detection is a common challenge in modern agriculture. Various factors, such as changes in leaf color, shape, petal structure, and environmental conditions, make it difficult to achieve high accuracy with conventional models. Transfer learning is an effective solution to improve model performance in image detection, especially when available data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The process included data processing, increasing the data volume, model training, and result verification. The results showed that the EfficientNet-B0 model provided the highest accuracy of 97.2%, significantly better than the CNN model created from scratch with an accuracy of 85.1%. This study proves that the transfer learning method is very effective in improving the accuracy of flower disease detection. These results confirm that transfer learning is effective for detecting plant diseases with higher accuracy, especially when the dataset is limited.  

Traffic performance on urban road segments is strongly affected by vehicle volume and travel time, particularly during peak periods. This study analyzes the relationship between travel duration and the total number of vehicles passing along Otto Iskandar Road as an illustration of urban traffic conditions. Data were collected through field surveys, focusing on two main variables: average vehicle travel time and total traffic volume. Statistical analysis was performed using IBM SPSS Statistics, including normality testing and the Wilcoxon Signed Rank Test to identify potential differences between the observed variables. The results show a difference in average values between travel duration and vehicle volume; however, this difference is not statistically significant at the 95% confidence level (p = 0.180). These findings indicate that increases in traffic volume do not always lead to proportional increases in travel time, although they can still influence the stability and efficiency of traffic flow. The results are consistent with previous studies, such as Halim (2021), who reported that U-turn movements affect speed and traffic performance, and Handayani et al. (2024), who found that parking activities and vehicle maneuvers reduce road capacity. Other studies also highlight the impact of side friction and traffic flow variations on speed and saturation levels. Overall, this study emphasizes the importance of managing vehicle flow and monitoring travel time in urban transportation planning and traffic management.

The development of lanthanum-doped barium hexaferrite materials has attracted considerable attention in the field of functional materials, particularly as electromagnetic wave absorbers. This literature review aims to analyze advances in synthesis methods, structural characteristics, magnetic properties, and electromagnetic absorption performance of lanthanum-doped barium hexaferrite reported in various studies. Synthesis techniques such as sol–gel, coprecipitation, solid-state reaction, and hydrothermal methods are compared to evaluate their effects on crystallite size, morphology, and phase purity. Lanthanum doping is known to modify lattice parameters, reduce coercivity, and enhance complex permittivity and permeability, which play crucial roles in absorption mechanisms. Furthermore, variations in dopant concentration significantly influence reflection loss values and effective absorption bandwidth. The reviewed literature indicates that optimization of composition and synthesis routes can produce materials with high absorption capability, good stability, and strong potential for application in electromagnetic interference mitigation devices. This review is expected to serve as a conceptual reference for future development of lanthanum-doped barium hexaferrite–based electromagnetic wave absorbing materials. The comparative approach also highlights research challenges, industrial application opportunities, and future research directions relevant to the evolving demands of modern communication and defense technologies at both national and global levels.

This article aims to provide a comprehensive literature review on how professional ethics can serve as an effective strategy to prevent fund misuse within organizational financial management. Professional ethics is viewed as a set of moral values, behavioral norms, and professional standards that guide financial managers to perform their duties with honesty, responsibility, and without conflicts of interest. In the context of financial management, these duties include recording, budgeting, monitoring, and reporting financial activities, all of which require accuracy and transparency. The study highlights five main principles of professional ethics: integrity, objectivity, professional competence, confidentiality, and professional behavior. These principles clarify rules, strengthen accountability, and ensure that financial processes comply with established standards. The literature review shows that applying professional ethics not only encourages individuals to act correctly but also enhances responsibility, improves performance, and strengthens financial oversight. Integrity and objectivity play a crucial role in preventing report manipulation, budget inflation, and fund misuse, as these principles demand moral courage and fair decision-making. Professional competence ensures that every financial process is carried out accurately and in accordance with regulations, while confidentiality protects sensitive information from misuse. Professional behavior emphasizes adherence to laws, organizational policies, and professional standards. The article also identifies several supporting factors that enable the effective implementation of professional ethics, such as strong internal policies, leadership commitment to integrity, an ethical workplace culture, layered supervision systems, and continuous ethics training. Conversely, common challenges include weak internal controls, limited understanding of ethics, organizational pressure, conflicts of interest, and inconsistent application of ethical standards. Therefore, this article underscores that integrating professional ethics into organizational financial policies, procedures, and management systems is a key step in preventing fund misuse and strengthening stakeholder trust in the organization’s transparency and accountability.

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.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.