Publication Search

This study aims to analyze the collective kiai leadership policies in enhancing the quality of madrasah education at Bahrul Ulum Islamic Boarding School, Tambakberas, Jombang. Using a qualitative research method with a phenomenological approach, the study collects data through in-depth interviews, structured observation, and documentation. The data analysis process involves three stages: data condensation, data display, and conclusion drawing. The study reveals that the formulation of collective leadership policies is based on the need to achieve religious goals, legal foundations, and community needs. These policies are oriented toward problem-solving and continuity, formulated through deliberation and consensus involving all kiai leaders of both formal and non-formal educational institutions within the pesantren. The implementation of these policies emphasizes scholarly sanad and intellectual tradition across all educational institutions. Key aspects include educational administration, human resource development, strengthening formal education based on national accreditation standards, providing entrepreneurship education, and participating in faith-based as well as science and technology competitions at national and international levels. The evaluation of these policies is carried out collectively by all caretakers and leaders in alignment with established policies to ensure quality improvement across the pesantren’s formal and non-formal educational institutions.

The gap between academic curriculum content and modern industrial needs is often an obstacle for fresh graduates in the Information Technology field, particularly in the rapidly evolving Artificial Intelligence (AI) sector. This study aims to identify the relationship patterns among technical competencies (hard skills) most demanded by the global industry. The method employed is Association Rule Mining with the Apriori algorithm to discover association rules between skills, and Network Graph Analysis to visualize the topological map of these competencies. The research dataset covers 15,000 AI job vacancies from the 2024-2025 period, analyzed in depth using Support, Confidence, and Lift Ratio evaluation parameters to validate the strength of relationships between items. The results show that Python is the central competency with the highest frequency of occurrence. Strong association rules were found indicating that proficiency in TensorFlow has a high probability of requiring Python proficiency. The Network Graph visualization reveals three main competency clusters: Data Engineering Ecosystem, Deep Learning, and Infrastructure. These findings offer a strategic foundation for aligning curricula with the job market. Focusing on strengthening the identified competency clusters is expected to directly enhance the relevance and work readiness of graduates.

The purpose of this study is to determine how the social behavior of the Margoagung Village Community, especially Ngino Hamlet, preserves local wisdom inherited from the ancestors of Mbah Bregas, particularly in building community harmony. This field research was conducted using a qualitative descriptive method. This research was conducted by taking a case study in Ngino Hamlet, Margoagung Village, Seyegan Sub-district, Sleman Regency from June to July 2025. The informants of this study were the leaders, committees, traditional figures, and all parties involved and witnessed directly the Merti activities of Margoagung Village. Data collection was carried out through observation, interviews, and documentation. Data analysis was carried out through four stages, namely: data documentation, data reduction, data presentation, and drawing conclusions/verification. The study findings show that the entire series of Merti activities of Mbah Bregas Village, Margoagung Village build community harmony through participation, cooperation, and mutual cooperation without distinguishing religion, ethnicity, race, social strata, and profession.

This study presents an ethical framework for learning analytics aimed at addressing key challenges related to the collection and use of student data in higher education. Learning analytics, a powerful tool for improving student outcomes and institutional decision-making, has raised ethical concerns regarding data privacy, transparency, fairness, and equity. The proposed framework integrates four core principles: data privacy, informed consent, transparency, and fairness, ensuring that institutions use learning analytics responsibly while safeguarding student rights. A central feature of the framework is its focus on promoting equitable decision-making, minimizing bias, and preventing the reinforcement of existing inequalities in algorithmic and data-driven decisions. The framework also emphasizes the importance of continuous ethical oversight, holding institutions accountable for ethical data use and adapting practices as technology evolves. The study concludes that the framework offers a comprehensive solution to the ethical challenges in learning analytics, providing institutions with a practical guide to embedding ethical principles in data practices. Additionally, the research discusses its potential to foster fairness, equity, and transparency in decision-making processes. Future research is recommended to refine the framework and explore its application across various educational contexts, ensuring responsible and inclusive use of learning analytics.

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.

In the modern computing era, servers face significant challenges in data storage due to hardware failures, cyber attacks, or human errors. The problem highlighted focuses on the impact of file systems on three critical aspects: data integrity (accuracy and consistency of data without corruption), data recovery (the ability to restore data after a failure), and failure resilience (fault tolerance, such as redundancy and journaling to prevent downtime). The main issue is that traditional file systems like FAT32 or NTFS are often susceptible to fragmentation, metadata loss, or long recovery times, which can lead to data loss of up to 20-30% on enterprise servers, especially in high-traffic environments like cloud computing.A simple problem-solving process is conducted through a straightforward comparative analysis approach: (1) A literature review of popular file systems (ext4, ZFS, Btrfs); (2) Failure simulations using tools like fsck and stress testing on virtual servers (e.g., via KVM or Docker); and (3) Measuring performance metrics with benchmarking tools like Bonnie++ for I/O throughput, recovery time, and error rates. This process is designed to be simple, requiring only a virtual lab setup without expensive hardware, and is analyzed quantitatively with descriptive statistics.The solution to the problem indicates that advanced file systems like ZFS or Btrfs provide significant improvements: data integrity is up to 95% more secure through automatic checksums, data recovery is achieved in minutes through snapshots and RAID integration, and failure resilience is higher with copy-on-write features. The main recommendation is to migrate to journaling-based file systems for servers, combined with automated backups, which can reduce the risk of downtime by up to 50%. This research provides practical guidance for system administrators to enhance server reliability without excessive additional costs.

This study aims to examine and analyze how the implementation of Standard Operating Procedures (SOP) impacts employee performance improvement at Chatter Lounge Restaurant, Gumaya Tower Semarang. The background of this research stems from initial observations and interviews that revealed inconsistencies in SOP implementation, particularly in aspects of grooming and staff attitudes toward guests. A qualitative descriptive method with a case study approach was employed to gain a comprehensive understanding of the phenomenon. Data were collected through in-depth interviews with four key informants, direct observations of operational activities, and digital documentation related to SOP practices. The data analysis followed the interactive model of Miles and Huberman, which includes three main stages: data reduction, data display, and conclusion drawing. The findings indicate that SOP implementation positively contributes to enhancing employee discipline, time efficiency, and accuracy in following service procedures, leading to a more standardized service quality. Nevertheless, the implementation is not yet fully optimal as several employees lack a comprehensive understanding of SOP content. Inhibiting factors include limited advanced training opportunities, one-way briefings that restrict interactive communication, and the absence of a performance-based reward system to motivate staff. The study highlights that while SOPs serve as a crucial guideline to improve consistency and professionalism, their effectiveness depends heavily on continuous reinforcement and employee engagement. Therefore, it is recommended that the restaurant management strengthen SOP implementation through ongoing training, more participatory internal communication, and the establishment of performance-based reward mechanisms to maximize employee motivation, ensure service excellence, and ultimately enhance guest satisfaction.

This study examines the empowerment of civil servants and its contribution to improving the quality of public services in Southwest Papua Province, with particular focus on the Human Resources Development Personnel Agency (BKPSDM: Badan Kepegawaian Pengembangan Sumber Daya Manusia). The research employs a qualitative descriptive approach to capture and analyze empowerment practices as well as their supporting and inhibiting factors. Data collection was carried out through interviews, observations, and documentation, involving key informants such as the Head of BKPSDM and relevant staff members. The data were analyzed using the interactive model of Miles, Huberman, and Saldana, which consists of three stages: data condensation, data display, and conclusion drawing/verification. The findings reveal that empowerment practices at BKPSDM encompass structured recruitment policies for both Indigenous Papuans (OAP) and non-OAPs, systematic career development, provision of education and training programs, and implementation of fair compensation mechanisms. These initiatives are aimed at enhancing civil servants’ competencies, professionalism, motivation, and accountability, ultimately contributing to better service delivery to the public. Supporting factors identified include the existence of strong regulatory frameworks, leadership commitment, competency-based training opportunities, high internal motivation, and the establishment of a collaborative work culture. On the other hand, several inhibiting factors persist, such as limited and unequal access to training, inadequate infrastructure, frequent changes in regulations, discriminatory practices, and low levels of digital literacy among some employees. The study concludes that civil servant empowerment represents a strategic pathway to building a professional, accountable, and responsive state apparatus capable of delivering high-quality public services. To strengthen these efforts, recommendations highlight the importance of expanding training access, improving digital skills, ensuring infrastructure readiness, and maintaining inclusive and transparent policies. By addressing these challenges, civil servant empowerment can be optimized to achieve sustainable improvements in public service performance across Southwest Papua Province.

This study aims to describe the types and functions of directive speech acts found in Indonesian language learning interactions at SMP Negeri 3 Gianyar. Employing a descriptive qualitative research design, the data were obtained through note-taking and recording of teacher–student interactions during classroom activities. The analysis followed four main stages: data reduction, data collection, data display, data interpretation, and conclusion drawing. Directive speech acts, which are utterances intended to prompt the listener to perform a specific action, are an essential component of classroom discourse, as they directly influence student participation, classroom management, and instructional clarity. The findings reveal a total of 109 directive speech act utterances produced by both teachers and students. These utterances are categorized into six types: 18 requests, 52 questions, 22 commands, 3 prohibitions, 10 permissions, and 4 pieces of advice. Each type of directive speech act is used to achieve specific communicative purposes. Further analysis identified 11 distinct functions realized within these utterances, namely: requesting, inviting, pleading, asking, wishing, demanding, directing, instructing, prohibiting, permitting, and advising. For instance, teachers predominantly employed questioning and commanding functions to guide learning processes, check comprehension, and maintain classroom order, while students tended to use requesting and asking functions to seek clarification or assistance. The results of this research highlight the significant role of directive speech acts in facilitating interactive and goal-oriented communication in the language learning environment. Understanding the types and functions of such speech acts can provide valuable insights for educators in designing effective communication strategies that foster active learning, encourage student engagement, and create a positive classroom atmosphere. This study contributes to the broader field of pragmatics and educational linguistics by emphasizing the practical application of speech act theory in Indonesian language teaching contexts.

This study is a qualitative research employing a case study approach to explore the leadership management of a madrasah principal in improving teacher performance. The data analysis technique used consists of four main steps: data collection, data reduction, data presentation, and drawing conclusions. To ensure the validity and reliability of the findings, source triangulation was applied. The research findings reveal that the madrasah principal plays a multifunctional role encompassing that of a manager, supervisor, and motivator, all of which are central to the effective management of the institution. The principal’s leadership is characterized by a strong orientation toward the achievement of the institutional vision, optimal resource management, and the establishment of a conducive and productive learning environment. Several strategic efforts have been implemented to enhance teacher performance, including the enforcement of work discipline, organizing continuous professional development through teacher training, offering rewards and incentives for achievements, cultivating positive attitudes and mental resilience among staff, and providing financial support to facilitate teaching activities. These strategies reflect a proactive and visionary leadership model that emphasizes communication, motivation, and collaboration. The effectiveness of this leadership approach is evidenced by the significant improvement in teacher performance, contributing to the overall enhancement of educational quality within the madrasah. This study concludes that leadership which is visionary, communicative, and supportive is essential in fostering an environment that promotes teacher development and institutional progress. The results of this research provide valuable insights for education stakeholders, particularly in Islamic educational institutions, on how strategic leadership practices can drive meaningful change and improve educational outcomes. This study also highlights the importance of ongoing support, recognition, and empowerment of teachers as key elements in building a high-performing and motivated teaching workforce.

The role of micro, small, and medium enterprises (MSMEs) is very significant for the growth of Indonesia’s economy, accounting for 99% of all business units. The development of MSMEs in Blitar Regency has experienced significant growth in terms of both the number of entrepreneurs and revenue. The objectives of this research are (1) to identify and analyze the potential of the creative economy in the development of MSMEs in Blitar Regency, (2) to formulate appropriate strategies to enhance the competitiveness and growth of MSMEs in the creative economy sector in Blitar Regency. The approach used in this research is a phenomenological qualitative approach. Data collection techniques were carried out through observation and structured interviews conducted with key informants of this study, such as MSMEs actors, local government officials from the Department of Industry and Trade, and the Cooperative Office. The data analysis technique was conducted using data triangulation with the following steps: data collection, data analysis, conclusion, and data validation. The research results show that the creative economy model used by the local government in developing MSMEs in Blitar Regency includes the utilization of ideas and creativity, strengthening MSMEs through digitalization, business mentoring, development of superior products, and connection with the people's economy. The challenges in the development of MSMEs include increasingly tight market competition both online and offline; limited access to capital; limited access to digital technology; lack of understanding of business management; limited product innovation; ineffective marketing; and business legality. The strategies implemented include enhancing digital marketing, improving product and service quality, strengthening business capital, increasing capacity and skills, utilizing technology, promoting and marketing products, and strengthening institutions and governance.

This study aims to develop an accurate predictive model for identifying students at risk of academic dropout using Decision Tree and Random Forest algorithms. The research utilizes a publicly available dataset sourced from Kaggle, which includes academic and demographic features such as GPA, attendance, credit load, financial aid status, and exam scores. The methodology involves several stages: data collection, preprocessing (handling missing values, encoding categorical variables, and feature scaling), model training, and evaluation using performance metrics such as Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Results show that the Random Forest algorithm outperforms Decision Tree in terms of accuracy and robustness, with notable feature importance on math, reading, and writing scores. The findings highlight the potential of machine learning in early detection of dropout risks and provide actionable insights for academic institutions to design timely interventions. This research contributes to the growing field of educational data mining and supports data-driven decision-making processes in higher education management.

This study aims to examine the management of incoming and outgoing mail at SEAMEO RECFON. The research method used is descriptive analysis with a qualitative approach, which involves describing and analyzing the problems identified. The study is based on both primary and secondary data. Primary data were obtained through observation, interviews, and documentation, while secondary data were gathered from books, previous research, and relevant articles. The data analysis technique used follows the interactive model of Miles and Huberman, which includes four stages: data collection, data reduction, data display, and conclusion drawing/verification. The sampling technique employed is purposive sampling. The results show that the management of incoming and outgoing mail has been carried out in a structured manner using a combination of manual and digital methods. However, several challenges remain, including limited human resources, technical issues with the e-paraf and e-sign systems, and a lack of compliance with administrative standards. To address these challenges, SEAMEO RECFON has implemented staff training, internal evaluations, SOP development, and strengthened activity planning. These efforts reflect the organization’s commitment to building a modern and adaptive correspondence management system.  

The objectives of this study are (1) to describe how the principal of the school strives to improve the quality of teachers at Madrasah Aliyah Muhammadiyah in Gorontalo City. (2) To describe/characterize whether there are obstacles faced by the school principal in improving teacher quality at Muhammadiyah Senior High School in Gorontalo City. This research is classified as qualitative in nature, employing a descriptive approach. Data collection techniques include interviews, observations, and documentation. Data analysis is conducted in one stage, namely: Data verification or drawing conclusions. The research results show that the principal of Muhammadiyah Senior High School in Gorontalo City always strives to improve the quality of teachers at Muhammadiyah Senior High School in Gorontalo City by involving all teachers in training and education (DIKLAT) both offline and online. In this study, it can be seen that the challenges faced by the principal in improving teacher quality stem from the lack of adequate facilities and infrastructure, which can hinder the learning process and lead to a decline in educational quality. Since qualified teachers are the most critical factor in improving educational quality, it is essential to optimize educational facilities to support the learning process.  

This study aims to examine the implementation of the independent learning curriculum in biology at SMA Negeri 1 Waigete. The objectives are: (1) to describe how the independent learning curriculum is applied in biology classes; (2) to identify the challenges teachers face during its implementation; and (3) to explore the strategies employed by teachers to overcome those challenges. Using a descriptive-qualitative approach, the research collects data through interviews, observations, and documentation. Interviews were conducted with the principal, vice principal of curriculum, and biology teachers. Observations were made during the learning process in the classroom, while documentation included teaching modules and supporting articles. Data analysis was carried out in three stages: data coding, presentation, and drawing conclusions. The findings indicate that the independent learning curriculum in biology for Class X (Phase E) was implemented effectively, with teachers preparing KOSP, learning tools, and providing materials such as readings and videos. Teaching also considered local potential and involved both formative and summative assessments. However, several problems were identified, including limited facilities and infrastructure, lack of internet access, insufficient training, and some students lacking personal devices. Moreover, teachers experienced difficulty in selecting appropriate learning strategies to engage students effectively. To address these issues, teachers have participated in curriculum-related training and prepared printed materials and pre-downloaded videos for students without digital access. These efforts show a proactive approach to ensuring all students can benefit from the independent learning curriculum despite existing limitations.

This study aims to analyze the level of work discipline among employees at UD. Putra Tunggal. Using a descriptive qualitative method, data were collected through structured interviews and validated using source and technique triangulation. The informants consisted of six individuals selected through purposive. Data analysis was conducted through four steps: data collection, condensation, presentation, and conclusion. The findings reveal that employee discipline remains insufficient, influenced by lenient sanctions, lack of rewards, and weak supervision. These issues hinder overall productivity and suggest that stronger enforcement and reward systems are needed.

This study aims to analyze the discourse framing of Kompas.com news texts related to the hashtag “Kabur Aja Dulu”, which was published in the period 17 February - 17 March 2025. This research is a descriptive qualitative research with Teun A. Van Dijk analysis model. The research data was obtained through digital documentation of Kompas.com articles using the hashtag “Kabur Aja Dulu”, then analyzed through three main stages: data reduction, data presentation, and conclusion drawing. The analysis was conducted systematically using Van Dijk's structural framework which includes three levels of analysis: macro structure, superstructure, and microstructure. The analysis shows that Kompas.com tends to use language and interview techniques that reflect the government's perspective, with complex discourse framing patterns that reflect power dynamics in news production. Through the analysis of Van Dijk's model, it can be seen that the media uses various linguistic and structural strategies to build a narrative that is in line with the government's perspective, including the use of formal language, structured interview techniques, and the construction of a strong narrative about the urgency of handling the phenomenon. Overall, this study reveals how the mass media play an important role in the social construction of reality through the way they frame and convey information to the public.

Bibliometric analysis is a method for examining metadata derived from articles or journals, including information such as citations, authors, publication years, and countries (Andres, 2009). This analysis consists of three main stages: data collection, analysis, and communication. In the initial stage, data were collected using the Publish or Perish (PoP) application, drawing from the Scopus database with the keyword “technopreneurship” for the period 2014–2024. This study aims to explore the research landscape in the field of technopreneurship and technology-based entrepreneurship published in Scopus. For the query process, the search string TITLE-ABS-KEY ("technology entrepreneurship") was used to identify documents containing significant elements such as printed books, e-learning, and database systems that indicate co-occurrence within technology entrepreneurship literature.

The village government has an important role in providing direct services to the community, both administrative, social, and other services related to the daily needs of residents. The quality of public services is one of the main indicators in assessing the success of village government administration (Irawan, 2017). According to Parasuraman, Zeithaml & Berry (1988), service quality can be measured through five dimensions, known as the SERVQUAL theory, namely: Tangibles, Reliability, Responsiveness, Assurance and Empathy. This study uses a descriptive qualitative approach with a purposive sampling method. This study uses interactive data analysis according to Miles and Huberman which includes three stages: data reduction, data presentation and drawing conclusions/verification. The conclusion is that the quality of public services at the Macanputih Village Office is running quite well but not evenly distributed. The services provided by officers show good intentions and openness, but there are still some weaknesses, namely: Lack of adequate facilities and infrastructure, Delays in completing administrative services, Differences in attitudes and abilities between officers in responding to residents, and the absence of a clear service flow.

This research uses a qualitative approach to identify societal issues that affect both individuals and communities. At SMP Negeri 17 Malang City, the principal, student representatives, PPKn teachers, and a number of students served as data sources. Data collection methods included observation, interviews, and documentation. The collected data includes both primary and secondary sources. We used both formal and unstructured interviewing methods. This study's data analysis process included three steps: data reduction, data presentation, and conclusion/verification. We also used triangulation methods to assess the validity of the data. Pre-field, fieldwork, involvement during data collection, and data analysis are the phases of the study process. To define Pancasila ideals and learn how to apply them using the cooperative learning model at SMP Negeri 17 Malang City, this research set out to ascertain the role that PPKn instructors play in doing so. The study's findings demonstrated that instructors have a responsibility to care for, acknowledge, and counsel pupils who lack motivation or discipline in addition to imparting knowledge. To prevent such issues, it is recommended that future research focus more on the role PPKn instructors play in boosting students' enthusiasm to study and selecting learning models that fit the infrastructure and facility requirements.