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Academic planning is one form of planning the teaching and learning process in state universities, aimed at achieving educational goals based on the standards set. One important aspect of academic planning is forecasting the number of new students. This study compares two forecasting methods, Fuzzy Time Series (FTS) and Autoregressive Integrated Moving Average (ARIMA), in predicting the number of new students in the Statistics Study Program at Universitas Negeri Gorontalo. Forecasting the number of new students is crucial for determining various policies, such as resource allocation and providing adequate facilities. The results of the study show that the ARIMA method produces more accurate predictions with a Mean Absolute Percentage Error (MAPE) of 0.35%, which is lower than the FTS method. This indicates that ARIMA is more effective in predicting the number of new students in the Statistics Study Program at Universitas Negeri Gorontalo and can serve as a reference to improve academic planning quality in higher education institutions.

This study aims to examine the integration of Artificial Intelligence (AI) and Canva as instructional media in elementary school learning, particularly at SDN 069 Mompang Julu, Indonesia. The research employed a qualitative approach with a field study design. The research subjects consisted of elementary school teachers and students, while data were collected through observation, interviews, and documentation. Data analysis was conducted through data reduction, data display, and conclusion drawing. The results indicate that the use of AI and Canva assists teachers in designing more creative, visual, and efficient learning media, as well as increasing students’ motivation and engagement in the learning process. The discussion reveals that the integration of these technologies creates a more adaptive and engaging learning experience; however, it still faces challenges related to teachers’ digital competence and technological infrastructure. The study concludes that the integration of AI and Canva has strong potential to improve the quality of elementary education when supported by continuous teacher training and adequate technological facilities.

This community service activity aims to improve the quality of students' reading of the Qur'an through the application of the Tilawati method with an Asset-Based Community Development (ABCD) approach at TPQ Roudhatul Jannah, Sindangkerta Village, Pagelaran District, Cianjur Regency. TPQ previously did not have a structured tahsin learning method so that students' abilities developed unevenly. The implementation of the program is carried out through five stages of ABCD: discovery, dream, design, define & deliver, and destiny. Activities start from identifying community assets, compiling common expectations, training planning, implementing classical and individual Tilawati learning, to evaluating the sustainability of the program through munaqosah. The results showed an increase in the ability of students in the aspects of tajweed, makhraj, and fluency in reading. TPQ teachers are also able to master the Tilawati method so that learning can continue independently after the program is completed. In addition, this activity strengthens collaboration between the community, teachers, and volunteers in creating a more effective learning environment. This program proves that the empowerment of community assets and the application of the Tilawati method are able to improve the quality of tahsin of students while strengthening the sustainability of community-based Qur'an learning.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.

This study examines the implementation of education management based on deep learning, which combines an intensive pedagogical approach and spiritual values to increase student enrollment in Christian Junior High Schools (SMP) in Batam. With a strategy emphasizing meaningful learning, intensive interaction, and integration of spiritual values, this research aims to analyze how innovative education management can strengthen the appeal of Christian schools and improve overall education quality. A mixed-methods approach was used, collecting quantitative and qualitative data through surveys, interviews, and observations at 36 Christian SMPs in Batam. The results indicate that the synergy between deep learning-based management, curriculum innovation, and spiritual leadership of school principals significantly contributes to enhancing education quality and student enrollment. This article provides practical recommendations for developing school management based on meaningful and spiritual learning as a model for improving the quality and competitiveness of Christian schools in the global era.

The role of technology in revitalizing expository learning strategies in the 21st century. Expository learning strategies are direct teaching methods by teachers with verbal explanations of material, which are effective in conveying factual information but have been criticized for not stimulating critical thinking and not catering to the variety of student learning styles. This study examines how the integration of digital technology and active learning approaches can improve the effectiveness and engagement of students in expository learning. The use of multimedia, digital platforms, and learning management systems (LMS) opens up opportunities for more interactive and collaborative teaching. However, challenges such as unequal access to technology and the management of digital learning must be addressed so that technology can optimally improve the quality of teaching. Curriculum revitalization is also important to align education with industry needs and technological developments, emphasizing the development of practical skills and digital literacy so that graduates are ready to compete in the global job market. This study provides analysis and suggestions for education practitioners to implement more adaptive and effective expository learning strategies in today's digital era.

This study was motivated by the importance of dance in fostering aesthetic sensitivity, discipline, and cultural character in the younger generation. However, dance teaching practices in Indonesia are generally uniform and do not take into account the age and developmental stages of students, resulting in suboptimal learning outcomes. Several previous studies (Budiman et al., 2022; Da Ary & Markamah, 2024; Yuliyanti & Budiman, 2023) have shown the weaknesses of dance teaching methods that do not adapt to the characteristics of the participants, resulting in low mastery of techniques, motivation, and understanding of cultural values. Based on these issues, this study aims to examine the application of content, process, and product differentiation in dance learning at the Sobokartti Dance Studio in Semarang, which trains participants aged 4 to 25 years. Using a descriptive qualitative approach, data were collected through interviews, observations, and documentation. The results of the study show the application of teaching that is tailored to age characteristics, ranging from imitative movements in children to reflection on cultural values in adults. These findings prove that differentiated teaching methods are effective in improving the relevance and quality of traditional dance learning. The implication is that this model can be used as a reference for non-formal educational institutions in developing adaptive arts learning that is oriented towards the preservation of local culture.

Village infrastructure development plays an important role in improving community welfare. However, public opinion regarding the condition of infrastructure is often not analyzed comprehensively and based on data. This study aims to analyze public opinions toward infrastructure in Malitidari Village using the Unsupervised Learning method with the Orange application. The data were collected from public comments on social media and digital surveys, which were then processed in text format. The analysis process includes data preprocessing, tokenization, vectorization, and the application of a clustering algorithm to group opinions into several categories without prior labeling. The Orange application was used due to its ability to visualize data analysis workflows interactively and efficiently. The results of this study show that public opinions can be grouped into several main clusters: positive opinions related to the development of roads and public facilities, and negative opinions concerning delays and unequal quality of infrastructure. Based on these findings, the Unsupervised Learning method is proven effective in illustrating public perceptions of village infrastructure conditions. The results are expected to serve as a reference for the village government in planning and improving the quality of infrastructure development in Malitidari Village  

This research is entitled “Implementation of Lumi H5P in Mathematics Learning Media at SDK PERO Using the MDLC Method.” The aim of this research is to create a digital-based interactive learning medium designed to enhance students’ understanding of the subject matter. media that can help students understand mathematics lessons, particularly on the topics of whole numbers and multiples, in an engaging and easy-to-understand way. The approach applied in this research is the MDLC method.. Each stage was carried out systematically to produce an interactive and high-quality learning media. The learning media application was developed using LUMI H5P, which provides various interactive features such as text, images, videos, and interactive exercises in the form of single choice sets and drag-and-drop activities. The results of the study show that the implementation of Lumi H5P-based learning media can increase students’ learning interest and facilitate their understanding of the material. Moreover, the simple interface design and user-friendly features make this application effective for both classroom learning and independent study. Therefore, the implementation of Lumi H5P in mathematics learning The media can act as an innovative solution to promote a learning process that is more engaging and effective.

This study discusses the design of artificial intelligence-based Al-Qur'an learning media through the Tahseen platform with a focus on the theme of Fastabiqul Khoirot. Al-Qur'an learning in the digital era faces challenges in the form of a lack of interest and involvement of students due to monotonous conventional methods. This study, through library research, aims to provide an overview of how to increase the efficiency of Al-Qur'an learning by integrating AI "Tarteel" Fastabiqul Khoirot Material in the learning process. This study considers the ethical and practical implications of the use of AI technology in religious learning and evaluates its impact on Al-Qur'an learning. In addition, this study also identifies various opportunities and challenges in the use of AI. The results of the study show that the AI “Tarteel” Fastabiqul Khoirot Material not only functions as a supplementary learning medium, but also proven effective in helping students improve their basic Quran reading skills. This success supports the use of applications as innovative learning solutions, while also confirming that technology-based learning, such as the Tarteel application, has great potential to be further developed to improve the quality of Quran education for all students . It is hoped that the results of this study can encourage wider adoption of AI technology in the education system, especially in the context of Quran learning. By strengthening the understanding of how best to utilize AI technology in Quran learning, it is hoped that a more effective and holistic approach can be developed.

Education is a fundamental human right that must be guaranteed for every child without discrimination. In Indonesia, particularly in the Ambon region, educational inequality remains a serious challenge influenced by geographical, socio-economic, and structural factors. Children from impoverished families and remote areas often lack access to adequate education due to limited facilities, low-quality teaching staff, and inadequate technological infrastructure. This situation not only hinders children’s potential development but also perpetuates cycles of poverty and social injustice. Data from the Ministry of Education and Culture (2021) indicates low basic education participation rates and high dropout rates in Maluku and Ambon. In response, the church in Ambon, as highlighted by Joseph Lourine Since (2023), plays a strategic role through the Marginalized Children’s Development School (Sekolah Pembinaan Anak Marginal - SPAM), an alternative education program integrating academic learning with Christian character and spiritual formation. This initiative embodies the preferential option for the poor principle in liberation theology, as developed by Gustavo Gutiérrez, positioning the church as an advocate for the marginalized in its social and moral mission. This abstract recommends strengthening the church’s role in education through multisectoral collaboration to create a more just and inclusive education system for marginalized children.

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.

The quality of education is a crucial issue in human resource development, because the quality of educational services has a direct impact on learning outcomes, the relevance of graduates, and the competitiveness of the nation. However, the implementation of quality management in educational institutions still faces challenges in conceptual, strategic, and practical aspects. This article aims to answer the research question: how are the basic concepts of educational quality understood and implemented in the context of educational management in Indonesia? The method used is a literature review with a qualitative approach. Data were obtained from scientific articles sourced from Google Scholar and Publish or Perish with the keyword “basic concepts of quality.” Of the 22 articles found in the 2021–2025 range, five articles were selected through a screening and validation process for further analysis. The results of the study show three main themes. First, educational quality is understood as a quality standard that encompasses effectiveness, efficiency, and student satisfaction. Second, quality improvement strategies emphasize the role of Total Quality Management (TQM) and school-based management (SBM) involving all elements of educational institutions. Third, quality implementation is realized through academic management, learning quality, and a continuous monitoring system. The conclusion shows that education quality management is an integrated process, not only focusing on results but also on continuous improvement. Further research is recommended to expand the focus on the integration of digitalization in education quality monitoring.  

This study originated from the issue of students’ limited comprehension of healthy and nutritious food concepts, which influences their lack of awareness in practicing a balanced diet in daily life. The conventional learning approach with minimal integration of visual aids has made students less engaged and hindered their overall understanding of the material. The primary objective of this research is to enhance fourth-grade students’ understanding of healthy and nutritious food at MI Al-Barokah through the application of picture-based learning media. Planing, implementation, observation, and reflection were the two stages of Classroom Action Research (CAR) that was used in the research. The participants were 25 fourth-grade students of MI Al-Barokah. Data were gathered through observations, interviews, and achievement tests, and analyzed using both qualitative and quantitative descriptive methods. The findings revealed a marked improvement in students’ understanding after the introduction of picture media, as reflected in the increasing average learning scores across cycles, along with greater motivation, participation, and engagement in classroom activities. The integration of picture media proved effective in facilitating a clearer, more engaging, and meaningful grasp of healthy and nutritious food concepts. These results suggest that picture-based instructional media can serve as a valuable strategy to improve the quality of thematic learning in elementary education, especially in lessons concerning healthy living and balanced nutrition.

The church, as the body of Christ, carries a vital responsibility in shaping the congregation’s understanding of biblical doctrine as the foundation of a sound life of faith. However, in practice, there remains a gap between the theological instruction provided and the congregation’s actual comprehension in daily life. This study aims to analyze the level of understanding among local congregations regarding biblical doctrine, identify the factors influencing this understanding, and examine the discrepancies between teaching and its application in everyday life. This research employs a qualitative approach using a library research method, focusing on the examination of biblical texts, theological works, and relevant academic literature. The findings indicate that the congregation’s level of understanding of biblical doctrine varies and is influenced by internal factors such as spiritual motivation and faith experience, as well as external factors such as the quality of teaching and ecclesiastical leadership. The gap between teaching and understanding is attributed to the lack of contextual and interactive learning methods. This study underscores the importance of continuous and dialogical theological formation within local churches so that congregants may not only comprehend doctrine cognitively but also embody it practically in faith and action. These findings are expected to enrich the field of practical theology and serve as a reference for developing faith education within the church.

Private Islamic Religious Colleges (PTKIS) play a strategic role in developing superior human resources with Islamic character. However, in practice, many PTKIS face challenges in meeting higher education quality standards and achieving optimal accreditation. Accreditation assistance based on Outcome-Based Education (OBE) and quality digitization are innovative solutions to improve the effectiveness of education quality management. OBE emphasizes the importance of learning outcomes integrated into the curriculum, learning process, and assessments that are measurable and relevant to the needs of the workplace. Meanwhile, quality digitization supports the efficient, transparent, and real-time management of academic data, forms, and accreditation reporting. Through the integration of these two approaches, PTKIS can improve accountability, accelerate the accreditation process, and ensure the achievement of sustainable quality standards. This article discusses the strategy of OBE-based accreditation assistance and quality digitization at the Tanggamus Islamic Education College, Lampung Province, highlighting the implementation process, obstacles encountered, and solution steps that can be applied to strengthen the PTKIS's internal quality assurance system.

This study aims to determine the influence of the Independent Learning Independent Campus Program (MBKM) on the soft skills of students of the class of 2021 in the Department of Economic Education, Gorontalo State University. The method used is quantitative with an explanatory approach, which aims to explain the causal relationship between the variables of the MBKM program and students' soft skills. Primary data was obtained through the distribution of questionnaires to 35 respondents who were active students in the batch. Data analysis was performed using simple linear regression with the help of SPSS software version 21. The results of the study show that the MBKM Program has a positive and significant influence on students' soft skills. This means that the higher the level of student involvement in the MBKM program, the better their abilities in terms of communication, teamwork, time management, adaptability, and confidence. The magnitude of the influence of the MBKM program on students' soft skills reached 65.3%, while the remaining 34.7% was influenced by other factors that were not discussed in this study. These findings provide important implications for the development of curriculum and learning strategies in higher education, especially in integrating the MBKM program as an effort to improve the quality of graduates who are ready to face the challenges of the world of work and global society.  

Integrated Quality Management (IQM) or Total Quality Management (TQM) has become a strategic issue in the field of education because it is directly related to improving the quality of learning, school management, and the achievement of sustainable competency standards. In the context of Islamic education and integrated schools, the implementation of IQM is not only oriented toward managerial efficiency but also toward the integration of religious values and the development of students’ character. Therefore, this literature review is essential to understand the development, trends, and challenges of IQM implementation in education. The purpose of this literature review is to examine how IQM is applied in various educational institutions and to identify its theoretical and practical contributions. The research questions proposed are: (1) How are the concepts and principles of IQM developed in education? (2) What are the main impacts and challenges of its implementation? The study employed a literature search through repositories, e-journals, and online publications using the keywords “integrated quality management,” “TQM,” and “education.” Out of 20 initial articles, only 5 met the inclusion criteria and were analyzed in depth. The analysis results revealed three main themes: strengthening the fundamental concepts of IQM, the role of key figures and TQM principles in education, and the implementation impacts on academic and non-academic quality. In conclusion, IQM has proven to be relevant as a strategy for improving educational quality, although challenges such as limited resources and internal resistance still need to be addressed. Future research should explore adaptive IQM strategies tailored to the local school context.

Sentiment analysis of guest reviews is a crucial aspect in improving the quality of hotel services. This study aims to analyze the sentiment of guest reviews regarding the services of Grand Diamond Hotel Yogyakarta using a machine learning approach with the Support Vector Machine (SVM) algorithm. SVM was chosen because it can handle high-dimensional data such as text and is capable of forming an optimal separating hyperplane between sentiment classes. The research data was obtained through web scraping from Traveloka, yielding 1,119 reviews, which were processed through preprocessing, translation, and sentiment labeling using the TextBlob library. After TF-IDF weighting, the data was divided into 80% for training and 20% for testing. The linear kernel SVM model achieved 80% accuracy in classifying the reviews into positive, negative, and neutral categories. The results of this study were implemented in a web-based application equipped with data visualization and model evaluation features, allowing hotel management to efficiently monitor and analyze guest sentiment and support data-driven service quality improvement.

The Teaching Campus Program provides students with direct experience in collaborating with teachers and principals to improve the quality of learning, particularly in literacy, numeracy, and technology adaptation. This study aims to evaluate the implementation of the Teaching Campus Program Batch 8 among students of the Faculty of Engineering, Padang State University (FT UNP). This study uses a program evaluation research type with a quantitative approach. The research population consisted of 35 students, all of whom were sampled using total sampling technique. The research variable was the evaluation of the implementation of the Campus Teaching Program based on the CIPP (Context, Input, Process, Product) evaluation model. Based on the results of the study, the evaluation of the implementation of the Campus Teaching Program among FT UNP students was overall “Fairly Good”. This provides learning experiences outside the campus and improves student skills. However, efforts to improve the quality of each evaluation dimension, especially in terms of student placement relevant to their study programs, clarity of guidelines, and preparatory curriculum, are necessary to achieve the “Very Good” category and maximize the program's contribution.