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Teacher personality is very important in shaping student character and creating a positive learning environment at school. This element not only demonstrates the values of integrity and good attitude but also forms the foundation for building relationships between teachers and students, among fellow teachers, and with all school members. This article aims to explain the personality competencies of teachers based on interviews conducted in three schools with different contexts. This research uses a descriptive qualitative approach, with data collection methods through in-depth interviews involving teachers and principals. The results obtained show that teachers generally demonstrate discipline, responsibility, and exemplary behavior. However, there are still some challenges such as heavy workloads and a lack of further training. These findings emphasize the importance of continuous teacher character development and systematic support to maintain the quality of education.

This study aims to describe the application of Red Flags Analysis in detecting potential financial statement fraud in the Indonesian capital market, using a descriptive qualitative approach through a literature review from various secondary sources. The results show that Red Flags Analysis is effective in identifying various fraud indicators, such as financial statement anomalies, delayed report publication, doubtful audit opinions, and consistent deviation patterns observed among publicly listed companies in Indonesia. The findings also emphasize the critical role of collaboration among auditors, regulators, and company management in building a proactive and ethical oversight system. The comprehensive application of this method significantly contributes to strengthening transparency, enhancing accountability, protecting investors from fraud risks, and ultimately improving the quality of the national capital market.    

This study aims to evaluate the impact of zakat on improving people's welfare in Indonesia. Zakat, as one of the financial instruments in Islam, plays an important role in reducing poverty and improving social welfare through equitable distribution of wealth. The findings of the study indicate that the distribution of zakat has a significant impact on improving the quality of life of beneficiaries, especially in terms of fulfilling basic needs such as education, health, and economic stability. In addition, zakat has also been proven to reduce poverty rates and reduce income disparities in society. The success of zakat is greatly influenced by professionalism in its management, accuracy in distributing to those in need, and transparency of zakat management institutions. These results emphasize the importance of strengthening the zakat management system and cooperation between institutions so that zakat can function optimally as a tool for economic empowerment and equalizing welfare in Indonesia.

Elections are a fundamental element of democratic systems, granting citizens te political right to vote and be elected. This study aims to compare the implementation of citizens’ political right in elections under presidential and parliamentary democracy systems. The research method used is normative/doctrinal/library research. This study analyzes the differences in the exercise of political rights in both systems and their impact on the quality of democracy and citizen participation. The findings indicate that the presidential system allows voters to directly elect the head of state, providing strong legitimacy but posing a risk of political deadlock. In contrast, the parliamentary system emphasizes the election of parliament members, who then determine the head of government, offering flexibility but potentially leading to political instability. This study concludes that both systems have advantages and challenges in ensuring citizens’ political rights. Therefore, mechanisms should be developed to enhance political participation and ensure more democratic and inclusive elections.  

The precise and effective formulation of educational objectives is crucial in realizing the vision and mission of educational institutions, especially at the Madrasah Aliyah level, which plays an important role in shaping students' character and competencies based on Islamic values. However, in practice, a gap still exists between the formulation of educational objectives and the achievement of the institution’s vision and mission, which impacts the quality of learning and educational management. This study aims to identify and analyze effective strategies implemented by Madrasah Aliyah in formulating educational objectives that align with the institution’s vision and mission. The research method used is qualitative descriptive with a case study approach, involving principals, teachers, and curriculum development teams as research subjects. Data were collected through in-depth interviews, participatory observation, and analysis of educational planning documents. The results show that effective strategies include a participatory approach involving all stakeholders, the use of continuous evaluation as a basis for formulating objectives, and the integration of Islamic values that strengthen character education orientation. The alignment between educational objectives and the institution’s vision and mission has also been proven to enhance the effectiveness of learning program implementation and the achievement of both academic and non-academic student accomplishments. In conclusion, strategic and value-oriented formulation of educational objectives is a key factor in achieving the vision and mission of Madrasah Aliyah, thus requiring the strengthening of managerial capacity and a sustainable evaluation system.

This study aims to evaluate the impact of zakat on improving people's welfare in Indonesia. Zakat, as one of the financial instruments in Islam, plays an important role in reducing poverty and improving social welfare through equitable distribution of wealth. The findings of the study indicate that the distribution of zakat has a significant impact on improving the quality of life of beneficiaries, especially in terms of fulfilling basic needs such as education, health, and economic stability. In addition, zakat has also been proven to reduce poverty rates and reduce income disparities in society. The success of zakat is greatly influenced by professionalism in its management, accuracy in distributing to those in need, and transparency of zakat management institutions. These results emphasize the importance of strengthening the zakat management system and cooperation between institutions so that zakat can function optimally as a tool for economic empowerment and equalizing welfare in Indonesia.

This study aims to evaluate the effectiveness of subsidized fertilizer distribution to farmers in Gorontalo Regency. The allocation system follows a regulatory procedure starting from the Minister of Agriculture Regulation, followed by the Governor’s Decree, and finally by the Regent/Mayor’s Decree, which determines fertilizer allocation down to farmer groups. However, the implementation in the field faces several issues, including fertilizer shortages, prices exceeding the government-set retail price (HET), and misuse of distribution mechanisms. Using a normative-empirical legal research method, the study finds that the ineffectiveness of the subsidized fertilizer program is mainly due to inaccurate data collection and distribution, as well as the suboptimal use of the Farmer Card (Kartu Tani), often hampered by technical problems such as inactive cards. An evaluation based on the "six accuracy principles" (right quantity, timing, price, location, quality, and type) shows that the current distribution is not functioning effectively. The main inefficiencies are rooted in administrative shortcomings, delayed distribution, and inconsistencies between regulatory provisions and field implementation

This study discusses the application of Internet of Things (IoT) technology in the monitoring and control system of smokehouse machines at PT Serena Harsa Utama. IoT enables the integration of sensors to monitor critical parameters such as temperature and humidity in real-time, thereby enhancing production efficiency and product quality. An experimental method was employed to test the effectiveness of the IoT system, with data collection through integrated sensors. The results indicate that IoT implementation can increase production efficiency by up to 30%, reduce human error, and optimize energy consumption. Despite challenges related to initial investment and operator training, the long-term benefits of IoT adoption, such as improved product quality and reduced downtime, make it a promising solution in the food processing industry. This research emphasizes the importance of adopting IoT technology to enhance competitiveness in the modern industry.

The main issue in implementing enterprise architecture (EA) for housekeeping services at PT Trisarana Aditama Mitra is the operational and technological risks that may hinder the success of digital transformation. This research utilizes the TOGAF framework as a systematic approach to identify, assess, and manage risks during EA development and deployment. The results indicate that applying TOGAF can mitigate risks related to human resources, technology systems, and business processes, thereby improving the efficiency and quality of housekeeping services.     

This study examines the application of big data analytics on Bhinneka.com, a leading e-commerce platform in Indonesia, to tackle the increasing in complexity of online user behavior in a swiftly changing digital environment. The primary issue is too challenges in evaluating extensive, unstructured, and heterogeneous user data, which obstructs personalization, marketing efficacy, and operational decision-making. The study seeks to assess the efficacy of big data instruments, specifically Artificial Intelligence Recommendation (AIRec) and Customer Data Platform (CDP), in improving user behavior forecasting. Service customization, and data-informed strategies. This study utilizes a qualitative case study methodology, including literature review and platform observation, to synthesis the many forms of big data analytics (descriptive, diagnostic, predictive, and prescriptive) and their implementation at Bhinneka.com. Significant findings indicate that the integration of AIRec and CDP has augmented the platform’s capacity to predict consumer preferences, improve marketing accuracy, and optimize logistics. However, obstacles stay the same, such as disjointed data systems, data quality concerns, and internal opposition to embracing a data-driven culture. The study suggests that although big data analytics substantially enhances Bhinneka.com’s digital competitiveness, ongoing investment in data infrastructure and organizational competence is crucial to fully harness its potential and preserve a competitive advantage in Indonesia’s e-commerce market.

Service quality is the level of excellence or specialty of a service that can meet the needs and expectations of the community. Public service is an activity carried out by the government and other institutions to meet the needs of community services in accordance with laws and regulations. This service can be in the form of public goods, public services, and/or administrative services. The purpose of this study was to determine the quality of service in issuing Business Identification Numbers for micro businesses at the Pekanbaru City Investment and One-Stop Integrated Service Office and its supporting and inhibiting factors. This study uses a qualitative approach. Data collection techniques use interviews. Data analysis in this study was carried out using qualitative descriptive. The results of the study explain that the quality of service is already in the good category which is assessed from the transparency in the services provided where there is openness in the service process, services that are in accordance with the rules and there is ease in the service process. The principle of accountability in improving service quality to ensure that each service can be accounted for and provide services in accordance with the conditions that have been set. Community participation in improving services has been carried out well by providing services according to rights and balance. Supporting factors in improving service quality include the ability of employees to serve, the availability of supporting facilities and infrastructure, and the development of a better service system as part of improving services. While inhibiting factors include increased supervision and complicated bureaucracy in efforts to improve services.

This study aims to identify and analyze the strategies implemented by the head of administration in improving the quality of administrative services at Madrasah Tsanawiyah Laboratorium, Jambi City. Improving the quality of institutional administrative services aims to support the overall quality of the madrasah. Based on national education standards set by the Ministry of Education and Culture, good school quality must also be reflected in the aspect of administrative services. Therefore, the leadership role of the head of administration is very important in designing and implementing strategies that support the achievement of the institution's vision and goals. This study uses a qualitative descriptive approach from an educational perspective. The main objectives of this study are to explore the process of strategic planning, implementation, strategy evaluation, and supporting and inhibiting factors in improving administrative services. Data collection was carried out through interviews, observations, and documentation. Data analysis techniques used include data reduction, data presentation, and verification, with data validity guaranteed through triangulation of sources, methods, and data. The results of the study indicate that the planning strategy used by the head of administration focuses on the principle of "the sooner the better," through friendly, innovative service, process simplification, service acceleration, and planning the use of ABK (Workload Analysis) guidelines. The strategy implementation is carried out in an integrated manner through regular meetings, active coordination with the head of the madrasah, the use of digital applications, and an effective work system. Evaluations are carried out daily by the head of the madrasah directly or online via WhatsApp, and using SWOT analysis to assess service progress. Supporting factors include staff training, open communication, and regular evaluations. Meanwhile, the main inhibiting factor is the shortage of administrative staff, which causes an excessive workload on the head of administration who also has teaching duties.

This research conducted a systematic literature review of studies related to analyzing service quality based on user reviews with a machine learning approach. A total of 15 international and national journals were analyzed to identify challenges, methods, and trends in research in this aspect. The review results show that Natural Language Processing (NLP) and Sentiment Analysis techniques are the dominant approaches, with machine learning models such as Deep Learning, Naive Bayes, and Support Vector Machine (SVM) being commonly used. The review also identifies research gaps and provides recommendations for future research directions.

In line with the development of the digital potential of the creative economy, the demand for quality visual content from photography and videography industry players has also increased. However, access to quality photographers and videographers is still a problem for some people. Likewise, photographers and videographers also experience difficulties in getting clients. Photographers and videographers feel that the use of social media has not been maximized in helping them get clients. In addition to these problems, these photographers and videographers also have difficulty in disseminating the events held. To overcome this problem, researchers developed a digital platform that can accommodate the interests of photography and videography service providers, as well as the community of users of these services. The digital platform developed by researchers is named the “Lensa Buana” marketplace application. The development of the Lensa Buana marketplace application uses the prototype system development method. With this application, it is hoped that photography and videography service providers can reach more consumers, while the community as consumers can easily get photography and videography services according to their needs and desired quality.

Oil palm is a key commodity supporting Indonesia’s economy through exports and employment. The industry’s success depends heavily on the selection of superior seedlings, which determine productivity, crop quality, and resistance to pests and diseases. Manual selection, however, often leads to subjectivity and inconsistency due to limited human resources and genetic variation. To address this, the study applies the Naïve Bayes algorithm for classifying oil palm seedlings based on seven variables: height, stem diameter, number of leaves, leaf color, disease resistance, root growth, and fruit yield. Using an explanatory quantitative method, the study follows seven stages: identifying problems, literature review, collecting 1,000 data entries from PT Intitama Berlian Perkebunan, data pre-processing, system modeling (UML), algorithm implementation, and evaluation using a confusion matrix and black box testing. Data was split into 80% training and 20% testing. The Naïve Bayes-based classification achieved 95% accuracy and perfect recall (1.00) for the superior seedling class. However, its performance on the minority class (non-superior seedlings) was weaker due to dataset imbalance. Black box testing verified all system functions worked correctly, enabling effective and efficient use by administrators. The study concludes that Naïve Bayes improves objectivity, efficiency, and accuracy in seedling selection. Nonetheless, attention is needed on data balancing and optimization to maintain consistent performance across classes. This system shows strong potential as a decision-support tool in plantations and promotes digital transformation in agricultural processes.

The quality of classroom facilities and infrastructure plays an important role in creating an optimal learning environment. Adequate facilities can improve student comfort, motivation, and learning outcomes. This study uses a qualitative approach with a case study method to explore the condition of classrooms at MAN 2 Karawang. Data were collected through observation, interviews, and documentation to gain a deeper understanding of the existing facilities. The findings of the study indicate that lighting and ventilation in the classrooms are adequate, and supported by academic props that support the learning process. However, there are several obstacles, such as limited room cooling systems and bureaucratic obstacles in maintaining facilities. In addition, the management of facilities and infrastructure by the SARPRAS team has not been optimal due to budget constraints. Therefore, it is necessary to continuously improve and repair facilities to support a more effective and comfortable learning process for students.

The existence of laws in health has been proven to have serious impacts on the health sector in various countries, including Indonesia. Through an analysis of philosophical texts and related research, this article reveals how corrupt practices affect the allocation of funds for the health system, disrupt the provision of adequate health facilities and services, and affect the quality of medical services. The economic implications of corruption on the health sector, including the high cost of obtaining quality health services and unequal access to health services. The social impacts of corruption are also analyzed, including poverty, unequal income distribution, and increased risk of criminal acts. In an effort to minimize the negative impacts of corruption on public health, this article proposes the implementation of strategies of transparency, accountability, and public participation. Implementation of the systeme-governmentand the active role of society ascitizen controlis a concrete step that can be taken to combat corruption and ensure more efficient and transparent use of public resources. The need for a joint role from the government, civil society, and the private sector in building a health system that is fairer, more transparent, and free from corruption. By strengthening the foundations of democracy and prioritizing transparency, Indonesia can move towards more equitable and quality public health for all people.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

The rapid growth of the fashion industry in Indonesia, particularly in Bandung, has increased the demand for structured and efficient sewing course management. Bandung Vision Center, as one of the institutions providing sewing training, faces significant administrative challenges due to the continued use of manual registration and attendance monitoring systems. These conventional processes result in data inaccuracies, slow information retrieval, limited transparency, and difficulties in monitoring participant progress across multiple training waves. This study aims to design and develop a web-based application to optimize participant registration and attendance monitoring processes at Bandung Vision Center. The research adopts an Agile software development methodology to ensure iterative development, flexibility, and responsiveness to user requirements. The system is implemented using the Laravel framework for backend development, ReactJS for frontend interface design, and MySQL as the relational database management system. System modelling is conducted using UML diagrams, and functionality testing is performed using the black-box testing method. The results indicate that the developed application significantly improves administrative efficiency, enhances data accuracy, and enables real-time monitoring of participant attendance. Additionally, the system increases transparency, facilitates structured data management, and supports better decision-making for course administrators. The implementation of this web-based application demonstrates its effectiveness in modernizing administrative processes and strengthening institutional competitiveness in the local fashion education sector. Future enhancements may include integration of online payment features, automated notifications, and advanced data analytics to further improve service quality and user satisfaction.

This research analyzes user sentiment reviews of the KAI Access application from Google Play Store to improve customer service at PT Kereta Api Indonesia. The study uses a Natural Language Processing (NLP) approach with the Latent Dirichlet Allocation (LDA) algorithm to extract main topics from 10,000 reviews collected from April 2024 to April 2025. Analysis results show 40.7% positive sentiment reviews and 49.3% negative. After data preprocessing through case folding, normalization, tokenization, stopword removal, and stemming, seven optimum topics were found from negative sentiment with a coherence score of 0.508343 and two optimum topics from positive sentiment with a coherence score of 0.511673. Analysis based on five service quality dimensions (tangibles, reliability, responsiveness, assurance, and empathy) reveals that the reliability dimension becomes the main issue, including system instability, transaction failures, login difficulties, and data inaccuracy. The responsiveness dimension is the second priority, with users expecting fast and responsive service to complaints. The results of this study provide recommendations for PT KAI to prioritize improvements in system reliability and responsiveness aspects to enhance the overall user experience, which will ultimately impact customer satisfaction and loyalty.