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This study aims to map the trajectory of syntactic acquisition in three-year-old children through syntactic patterns and communicative functions in naturalistic interaction. Using a mixed-methods approach, data from native Indonesian-speaking children were collected over a period of 1.5 months through the involve-conversation technique. Analysis of 80 utterances using frequency distribution, Mean Length of Utterance (MLU), and functional grammar revealed a dominant Subject–Verb–Object (S–V–O) structure (30%) and an MLU of 5.82 morphemes. These findings indicate a developmental transition from telegraphic speech to early multi-clause constructions, reflecting increasing linguistic complexity. Cognitive compensation is marked by the use of pragmatic particles and non-canonical sentence patterns driven by ideational, interpersonal, and textual functions. The results support the usage-based hypothesis, suggesting that early syntactic development is functional, sequential, and non-linear in nature. Furthermore, the study highlights the role of interactional experience in shaping emerging grammatical competence. This classification serves as a micro-longitudinal assessment tool and provides a pedagogical basis for scaffolding interventions aimed at stabilizing complex linguistic patterns and enhancing language development in early childhood education settings.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.

Online maps applications have become an essential tool for modern society in finding the fastest and most efficient routes. However, these applications often fail to detect current road conditions such as flooding, demonstrations, accidents, or public events, causing users to get stuck in problematic routes. This study aims to develop a prototype of a community-based road condition reporting system, visualized through a web-based digital map. The system allows users to directly report road conditions by providing photo evidence, descriptions, and event categories. It is also equipped with features for designing event routes such as carnivals and suggesting alternative paths based on community reports. The development process was carried out using a simulation-based approach with scenario testing that reflects real field conditions, without involving direct user data. The implementation results show that all core features work properly. The technologies used include Leaflet.js, OpenStreetMap, and the Nominatim geolocation API. This research produces an adaptive community-based GIS model that can be further developed as an intelligent navigation solution at the city scale

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

This study examines the role of the creative economy in enhancing sustainable tourism potential in Pampang Cultural Village, Samarinda, Indonesia, and identifies strategic priorities for its development. Pampang Cultural Village is recognized for its rich cultural heritage preserved by the Dayak Kenyah community, which serves as a valuable tourism asset. Despite this potential, the contribution of creative economy activities to tourism development has not been fully optimized. Therefore, a comprehensive analysis is needed to formulate effective development strategies. This research employs a mixed qualitative–quantitative approach using the SWOT-AHP method. SWOT analysis is utilized to identify internal strengths and weaknesses as well as external opportunities and threats affecting creative economy development. Subsequently, the Analytic Hierarchy Process (AHP) is applied to determine the priority level of each strategic factor and alternative strategy. The findings indicate that the village possesses significant creative economy potential in cultural performances, handicrafts, culinary products, traditional fashion, and cultural souvenirs. Cultural authenticity emerges as the primary strength, while limited innovation capacity and digital marketing skills remain the major weaknesses. The results further reveal that the highest-priority strategy is the development of innovative creative tourism products rooted in Dayak Kenyah cultural heritage while preserving cultural authenticity. This strategy should be supported by digital promotion, human resource capacity building, stakeholder collaboration, and improvements in tourism infrastructure to achieve sustainable tourism development.

The rapid growth of e-commerce among university students has provided greater convenience in conducting digital transactions. However, it has also created various challenges, including online fraud, discrepancies between advertised and delivered products, delayed shipments, and limited understanding of consumer rights and dispute resolution mechanisms. This community service program aimed to enhance legal literacy and increase students’ awareness of consumer protection in electronic transactions, particularly within the Faculty of Teacher Training and Education (FKIP) of Yapis University Papua. The program employed an educational-participatory approach through counseling sessions, interactive discussions, case simulations, and participant comprehension evaluations. The materials covered consumer rights and obligations, common violations in electronic transactions, complaint procedures on e-commerce platforms, and non-litigation dispute resolution mechanisms. The results demonstrated a significant improvement in students’ understanding of consumer protection laws, their ability to identify violations of consumer rights, and their knowledge of appropriate actions when disputes arise in online shopping transactions. Furthermore, participants showed strong engagement throughout the activities and were able to apply their knowledge effectively during case simulations. The program contributed to the development of more critical, informed, responsible, and legally aware digital consumers who are better prepared to engage safely and confidently in e-commerce activities.

The rubber processing manufacturing company PT Darmasindo Intikaret Tebing Tinggi is encountering more and more intense competition. So, managing human resources, the company's most valuable asset, is a top priority alongside meeting financial and operational goals. In human resource management, employee happiness is a key performance measure. Leadership style, discipline, and K3 are all variables that this study hopes to identify and examine in some detail. This research falls under the category of development studies and employs a quantitative methodology. This research makes use of both primary and secondary sources for its data. Findings from both primary and secondary sources are used into this research. People who work in production at PT. Darmasindo Intikaret were the subjects of this research. According to the results of the complete sampling method, the milling production staff consists of 34 individuals. In this study, the entire population is employed as a sample. The data analysis techniques utilised in this study included reliability and validity tests, tests for classical assumptions like normality and multicollinearity and heteroscedasticity, and tests for multiple regression, determination coefficients, and hypotheses like the F and T tests. Leadership style significantly and positively affects employee job satisfaction, according to the study's results. There is a favourable and statistically significant relationship between discipline and employee job satisfaction, and K3 is no exception. Employees' happiness on the job is influenced by a number of factors, including leadership style, discipline, and K3. The significance of enhancing the quality of leadership style, discipline, and 3 in boosting employee job satisfaction in a firm, particularly manufacturing companies, can be demonstrated by doing this study.

Poverty is a multidimensional problem that remains a major development challenge in Central Tapanuli Regency. Growth in Gross Regional Domestic Product (GRDP), increased realization of Foreign Direct Investment (PMA) and Domestic Direct Investment (PMDN), and zakat collection should be important instruments in reducing poverty rates. However, data from 2019–2023 shows a discrepancy, where the growth in these macroeconomic and social indicators is not accompanied by a decrease in the number of poor people. This study aims to analyze the influence of zakat, GRDP, PMA, and PMDN on poverty levels in Central Tapanuli Regency. The research method used is qualitative descriptive analysis with secondary data from BPS, BAZNAS, and BKPM as well as interviews with relevant parties. The results show that zakat does contribute to alleviating the burden on mustahik, but its role is still limited because the majority of distribution is consumptive. GRDP increased from Rp9.95 trillion in 2019 to Rp13.67 trillion in 2023, but the resulting economic growth is not yet inclusive. Foreign direct investment (FDI) tends to be oriented towards large capital with limited labor absorption, while domestic direct investment (PMDN) is closer to local needs but still less than optimal in poverty alleviation. Overall, the increase in zakat, GRDP, FDI, and PMDN has not been able to reduce the poverty rate, which actually increased from 376,474 people in 2019 to 489,760 people in 2023. Thus, a more inclusive development strategy, optimization of productive zakat, and investment policies that favor labor-intensive sectors and MSMEs are needed so that economic growth truly impacts poverty reduction.

This study examines the concept of compassion-based education (rahmatan lil ‘alamin) from the perspective of Islamic educational philosophy and its relevance to bullying prevention in Islamic educational institutions. The study is motivated by the tendency of modern education to emphasize cognitive achievement while giving less attention to moral and affective development, resulting in the persistence of bullying behavior in educational settings. This study employs a qualitative approach using library research. Data were collected from the works of Muslim scholars, scientific journals, and relevant literature on Islamic education and analyzed through content analysis. The findings reveal that compassion-based education is built upon the integration of moral development, purification of the heart, and the cultivation of adab (proper conduct). These elements contribute to the development of empathy, social concern, and moral awareness among students. Therefore, compassion-based education (rahmatan lil ‘alamin) has strong relevance as a preventive approach to reducing bullying behavior and fostering a more humane and supportive educational environment in Islamic educational institutions.

The Jambi Class II Climatological Station is the agency responsible for providing climate data and information to the public and relevant agencies. In practice, the process of handling data requests is still carried out conventionally, resulting in relatively long processing times for document management, archiving, and user service. This situation has led to several challenges, such as inefficient administrative processes, a high risk of document loss, and limitations in monitoring the status of data requests. This study aims to design a web-based Data Service Information System that can support the digitalisation of climate data services at the Class II Jambi Climatology Station. The system development method used is the prototype method, as it allows the development process to be carried out in stages based on user needs. The system design was carried out using the Unified Modelling Language (UML) as a modelling tool to describe system requirements, process flows, and user interactions with the system. The design results show that the developed system is capable of facilitating the online submission of data requests, tracking the status of requests, and managing the service database in a more structured manner. The system also provides a digital archiving feature that simplifies the management and retrieval of data request documents. The implementation of this system is expected to improve the efficiency of service processes, speed up data request processing times, enhance service transparency, and support improvements in the quality of public services at the Class IV Jambi Climatological Station.

This study discusses inclusive education in Early Childhood Education from the perspective of Mel Ainscow. Inclusive education is an educational approach that provides equal learning opportunities for all children without discrimination, including those with diverse learning needs. The purpose of this study is to describe the concept of inclusive education according to Mel Ainscow and to analyze its implementation in the development of early childhood education. This research employs a qualitative approach using library research methods. The data were collected from various written sources, including books, scientific journals, research articles, and documents related to inclusive education and early childhood education. Documentation techniques were used for data collection, while the data were analyzed through content analysis. The findings reveal that according to Mel Ainscow, inclusive education is a continuous process aimed at increasing the participation of all learners and reducing barriers to learning within educational environments. In the context of early childhood education, inclusive education can be implemented through flexible learning methods, child-friendly learning environments, and active collaboration between teachers and parents in supporting children’s development. The implementation of inclusive education also contributes positively to children’s social and emotional development, as they learn to respect diversity from an early age. However, several challenges remain, including limited facilities, insufficient teacher competence, and a lack of public understanding regarding inclusive education. Therefore, collaboration among schools, families, and the government is necessary to create an inclusive, equitable, and diversity-respecting early childhood education system.

Communication is an important aspect in the development of children aged 5–6 years, especially in supporting their language and social-emotional abilities. This study aims to analyze the influence of effective communication through a play approach in early childhood based on the results of previous research. The method used in this study is a quantitative method by conducting observations, research, and observations on effective communication and a play approach in early childhood education. Data collection techniques were carried out through documentation and literature searches from journals, articles, and relevant scientific references. Data analysis techniques used quantitative descriptive analysis by comparing and summarizing the results of previous research. The results show that the play approach has a significant influence on improving children's effective communication skills, such as the courage to speak, the ability to express opinions, social interaction, cooperation, and self-confidence. In addition, play activities have been proven to be able to create a fun learning atmosphere so that children are more active in interacting with peers and teachers. Thus, the play approach can be an effective strategy in developing the communication skills of children aged 5–6 years.

The improvement of village road infrastructure plays an important role in enhancing community mobility and supporting local socioeconomic development. This study aims to analyze changes in mobility conditions before and after road improvement, explore community perceptions and experiences, identify changes in activity and economic patterns, and examine factors that support or hinder mobility optimization in Trayeman Village, Slawi District, Tegal Regency. A mixed-method approach was employed involving 98 respondents selected from a population of 5,229 residents using the Slovin formula with a 10% margin of error, along with 15 key informants for qualitative data collection. Data were gathered through observations, in-depth interviews, documentation studies, and Likert-scale questionnaires. Quantitative data were analyzed descriptively, while qualitative data were examined using the Miles and Huberman interactive analysis model. The findings indicate that road improvement has significantly enhanced community mobility, with an overall mean score of 3.89, categorized as high. Access to services recorded the highest score (4.06), followed by economic mobility (4.00) and social mobility (3.99). Community perceptions were largely positive, viewing the improved road as a catalyst for development and improved accessibility. Road improvement also encouraged broader economic opportunities, lower transportation costs, business growth, and increased income. Supporting factors included private vehicle ownership and supportive village policies, whereas high fuel prices, limited transportation options, and uneven local road conditions remained major challenges. Further improvements in supporting infrastructure and transportation services are recommended to maximize mobility benefits.

Communication within the family, especially between parents and children, is an important foundation for the development of a child's personality, emotions, and social skills. The purpose of this writing is to identify the types of parental communication styles, analyze the factors that influence them, examine their impact on child development, and provide practical recommendations to improve the effectiveness of communication patterns within the family. The method used in writing this paper is a literature study. The discussion results show that there are three main types of parental communication styles: permissive, authoritarian, and democratic. The permissive style tends to give the child unlimited freedom, the authoritarian style emphasizes control and obedience, while the democratic style encourages openness and mutual respect. The choice of communication style is influenced by various factors such as educational background, culture, past experiences, and the socio-economic conditions of parents. Each communication style has a different impact on the emotional, social, and cognitive development of children. The democratic style is considered the most effective in optimally supporting child development. This article provides recommendations to parents to increase knowledge about dialogical-based parenting, practice assertive communication skills, give children space to express their opinions, and build a family culture that is open and mutually respectful.

This study aims to analyze the influence of love of money, hedonistic lifestyle, and locus of control on the financial behavior of students at the Faculty of Economics, Kadiri Islamic University. The background of this research is based on the low level of saving awareness and the tendency toward consumptive behavior among students, which are influenced by psychological factors and lifestyle. This study employed a quantitative approach using a survey method. The population consisted of students from the Faculty of Economics at Kadiri Islamic University, with samples selected using a simple random sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression analysis.The results showed that partially, love of money, hedonistic lifestyle, and locus of control had a significant effect on students’ financial behavior. A hedonistic lifestyle tended to have a negative effect on financial behavior, while locus of control had a positive effect in improving financial management abilities. Simultaneously, the three variables significantly influenced students’ financial behavior.This research is expected to contribute to the development of financial management knowledge, particularly regarding students’ financial behavior, and to serve as a consideration for students in managing their finances more wisely.

This study aims to develop and evaluate the feasibility of Teknoran, a website-based digital learning medium developed through the Canva application for the Office Technology subject in Grade X at SMKN 31 Jakarta. The study was motivated by learning activities that were still dominated by lecture methods and limited learning media. Teknoran was designed to facilitate learning through integrated features such as learning materials, assignments, and educational games within a single platform. This research employed the Research and Development (R&D) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, needs analysis questionnaires, validation sheets from material and media experts, and student response questionnaires during one-to-one and small group trials. Data were analyzed using descriptive quantitative and qualitative techniques. The results showed that the Teknoran website achieved a feasibility score of 95% from material experts and 93.33% from media experts, both categorized as “Very Feasible.” Student responses also indicated a very high level of acceptance, with an average score of 95.68%. These findings demonstrate that Teknoran is highly feasible as a digital learning medium and can support more interactive, flexible, and independent learning in Office Technology subjects at SMKN 31 Jakarta.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

Motor Vehicle Tax (PKB) is a key pillar of Regional Original Revenue (PAD) that supports development funding. However, seasonal fluctuations in payment realization create uncertainties in local budget planning. This study aims to address the limitations of the standard Random Forestalgorithm, which suffers from extreme prediction failures on time-series data due to its inability to capture temporal transitions between months. The proposed solution implements feature engineering using a Cyclical Encoding approach (Sine and Cosine transformations) and Lagged Variables. The dataset comprises historical records of motor vehicle tax potential and realization from January 2021 to November 2025. The baseline model evaluation without feature engineering yields highly inaccurate predictions with a Mean Absolute Percentage Error (MAPE) of 203.47% (accuracy of -103.47%). Conversely, after integrating Cyclical Encoding and Lagged Variables, the proposed model's performance improves drastically, achieving a MAPE of 14.40% (an accuracy rate of 85.60%), an MAE of 9,317 units, and an RMSE of 12,638 units. Feature Importance analysis confirms that the cyclically encoded month feature contributes the highest weight to the model's decisions with a score of 0.5031, followed by the potential feature at 0.1798. This study demonstrates that time-based feature engineering effectively optimizes Random Forestfor precise tax revenue forecasting.