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This study aims to provide the benefits of a psychological approach in education through a learning adjustment strategy based on the developmental stage and age limits of students. The study used a library method with a qualitative descriptive-analytical approach through a review of educational psychology literature, cognitive development theory, national education regulations, and various relevant scientific journals. The results of the study indicate that learning effectiveness is greatly influenced by the alignment between material, teaching methods, and students' psychological readiness. Piaget's cognitive development theory indicates that elementary school-aged children are at the concrete operational stage, thus requiring contextual learning, the use of real-life media, and active interaction in the learning process. This study also found that age limits in the education system have an important function as a means of synchronizing students' biological, emotional, social, and intellectual readiness with learning targets. Through the "Psychological Navigation" model, this study offers a strategic framework for educators to create adaptive, humanistic learning that is oriented towards optimal student development. The implications of this study emphasize that teachers need to understand the individual characteristics of students so that the educational process does not only focus on academic achievement, but also supports the psychological well-being and character formation of students as a whole.

The rapid expansion of digital finance services, particularly Buy Now Pay Later (BNPL) platforms such as Shopee PayLater, has significantly altered consumption patterns among university students. The aim of this study is to examine the effect of Shopee PayLater usage and lifestyle on consumptive behavior, as to test the moderating role of financial literacy among Accounting Education students at Universitas Negeri Semarang (class of 2022). A quantitative explanatory approach was employed, with data collected via Likert-scale questionnaires distributed to 63 respondents selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. Results show that Shopee PayLater usage positively and significantly affects consumptive behavior (path coefficient = 0.440, p = 0.000), as does lifestyle (path coefficient = 0.408, p = 0.003). Financial literacy, however, does not directly influence consumptive behavior (p = 0.676). Notably, financial literacy significantly strengthens—rather than weakens—the effect of lifestyle on consumptive behavior (interaction coefficient = 0.253, p = 0.019), while it does not moderate the relationship between Shopee PayLater usage and consumptive behavior (p = 0.712). These findings contribute theoretically by extending the Theory of Planned Behavior, demonstrating that BNPL accessibility and lifestyle orientation are stronger predictors of consumptive behavior than financial knowledge alone. Practically, this study suggests that financial literacy interventions must be accompanied by self-regulation strengthening and consumer protection policies to effectively curb excessive consumption driven by digital credit services.

This study aims to explore the perceptions and meanings of maslahah (public welfare) values in the implementation of the Free Nutritious Meal Program (MBG) at SD Negeri 030413 Salak, Pakpak Bharat Regency, North Sumatra Province. Pakpak Bharat Regency records a stunting prevalence of 28.9% far exceeding the national average of 19.8% while most beneficiary families are low-income and lack adequate access to nutritious food. This research employs a qualitative approach with a phenomenological design through semi-structured in-depth interviews, participatory observation, and documentation involving nine informants. Data analysis was conducted using the Miles and Huberman interactive model with interpretation based on the maqāṣid al-sharīʿah framework. The findings reveal five integrated dimensions of maslahah: fulfillment of ḥifẓ al-nafs through improvements in students’ physical health; strengthening of ḥifẓ al-ʿaql through increased concentration and learning readiness; preservation of ḥifẓ al-nasl through early intervention against stunting; realization of ḥifẓ al-dīn through religious practices accompanying the program; and protection of ḥifẓ al-māl through reduced household expenditure. Overall, the MBG Program functions not only as a nutritional intervention but also as a public policy aligned with maqāṣid al-sharīʿah, contributing to the multidimensional achievement of falah.

This study aims to analyze the effect of the Open Unemployment Rate (OUR), Human Development Index (HDI), and zakat on poverty in Mandailing Natal Regency. The study employed a quantitative approach using the Vector Error Correction Model (VECM) based on quarterly secondary data from 2015 to 2025. The analytical procedures included stationarity testing, optimal lag selection, Johansen cointegration testing, VECM estimation, Granger causality testing, as well as Impulse Response Function (IRF) and Variance Decomposition (VD) analyses. The findings indicate that all variables were stationary at the second difference level, with an optimal lag length of four, and exhibited a long-run cointegration relationship. The VECM estimation reveals that, in the long run, the Open Unemployment Rate has a positive and significant effect on poverty, while zakat has a negative and significant effect in reducing poverty. In contrast, the Human Development Index does not significantly affect poverty, which may be explained by the presence of a development time lag and employment mismatch between workforce competencies and labor market demands. The Granger causality test indicates a one-way causal relationship from the Open Unemployment Rate to the Human Development Index. Furthermore, the Variance Decomposition analysis shows that poverty variation is predominantly explained by its own shocks (96.25%), reflecting the persistence of structural poverty. Therefore, policy synergy through employment expansion and the optimization of productive zakat programs based on business empowerment is recommended to accelerate poverty alleviation in Mandailing Natal Regency.

The rapid growth of e-commerce has significantly transformed consumer purchasing behavior, particularly in how information is accessed and evaluated. This study aims to analyze the impact of online reviews on consumer purchasing decisions, with a specific focus on the mediating role of consumer trust. A quantitative research approach was employed using data collected from 150 e-commerce users through an online questionnaire. The data were analyzed using regression analysis and Structural Equation Modeling (SEM) to examine the relationships between variables.The results indicate that online reviews have a significant and positive effect on purchasing decisions. Additionally, online reviews significantly influence consumer trust, which in turn positively affects purchasing decisions. The findings also reveal that consumer trust partially mediates the relationship between online reviews and purchasing decisions. This suggests that credible, high-quality, and consistent reviews not only directly influence consumer decisions but also indirectly affect them by building trust.This study contributes to the existing literature on electronic word-of-mouth (e-WOM) and consumer behavior by confirming the importance of online reviews in shaping purchasing decisions in digital environments. From a practical perspective, the findings highlight the need for e-commerce businesses to effectively manage online reviews, encourage authentic customer feedback, and maintain transparency to enhance consumer trust and improve sales performance.

Digital documents have become an essential medium for storing, managing, and distributing information in various sectors. Nevertheless, the risk of document alteration and forgery requires an effective mechanism to verify document authenticity. This research focuses on the implementation of Base64 and Pepper methods in a QR Code-based document verification system. The system was developed following the Waterfall software development model, which consists of requirement analysis, system design, implementation, and testing stages. A web-based application was created using PHP and MySQL. Verification tokens were produced from document identity data combined with a Pepper value, encoded using Base64, and embedded into QR Codes attached to PDF documents. During verification, the QR Code is scanned and the extracted token is compared with records stored in the database. Experimental results demonstrate that the proposed system is capable of verifying document authenticity accurately and efficiently. Furthermore, Black Box Testing confirmed that all implemented functions operated as expected. Therefore, the integration of Base64 and Pepper contributes to improving the security and dependability of digital document verification.

This study aims to investigate students' perceptions of Qur'an learning (Tahsin and Tajwid) in improving their Qur'an recitation skills at Madrasah Diniyah Nurul Huda Bangodua, Cirebon. This study employed a qualitative approach using a descriptive method. The research participants consisted of 10 fourth-grade students and one teacher responsible for Qur'an learning. Data were collected through observation, interviews, and documentation. The data were analyzed using the Miles, Huberman, and Saldaña model, which includes data reduction, data display, and conclusion drawing. The findings indicate that students have positive perceptions of Tahsin and Tajwid learning. The learning process helps students improve the pronunciation (makhraj) of Arabic letters, understand the rules of Tajwid, enhance the fluency of Qur'an recitation, and develop greater confidence in reading the Qur'an. Supporting factors contributing to the success of the learning process include the talaqqi method, direct guidance from the teacher, and a conducive learning environment. The challenges faced by students include limited instructional time, difficulty distinguishing certain Tajwid rules, and insufficient practice in reading the Qur'an at home. Overall, Tahsin and Tajwid instruction plays a significant role in improving students' Qur'an recitation skills at Madrasah Diniyah Nurul Huda Bangodua, Cirebon.

As the oldest Islamic educational institutions in Indonesia, Islamic boarding schools (pesantren) play a crucial role in shaping the character, morals, and intellect of the community, thus ensuring leadership is a key factor in maintaining the institution's sustainability and development. This study aims to analyze the characteristics and development of Islamic educational leadership in the history of Islamic boarding schools in the archipelago. The method used is qualitative research with a literature study approach through the review of various books, journals, and relevant scientific sources. The results of the study indicate that Islamic boarding school leadership was initially dominated by the charismatic, religious, and exemplary leadership style of the kiai. Over time, this style has transformed into a more adaptive and professional leadership style without abandoning Islamic values, such as trustworthiness, deliberation, sincerity, and exemplary behavior. The leadership of the kiai remains a central element in the management of Islamic boarding schools and plays a role in maintaining the balance between tradition and modernization. The implications of this study indicate that the pesantren leadership model, which integrates religious, social, and managerial values, is highly relevant in facing contemporary educational challenges and supporting the sustainable development of Islamic educational institutions.

This study aims to describe Sundanese language learning discourse in the eleventh grade at SMA Negeri 8 Bandung city based on the components of learning discourse. The study employed a qualitative approach with a descriptive method. Data were collected through observation using the non-participatory observation method (SBLC) and recording techniques. The data consisted of recorded utterances during Sundanese language learning activities, which were then transcribed into written form. Data analysis was conducted using content analysis and hermeneutic techniques. The results showed that the learning process consisted of opening, core, and closing activities using the Cooperative Learning model. The components of learning discourse identified included opening and closing conversations, participant cooperation, speech acts, and the nature of utterance sequences. The interaction demonstrated the use of quantity and quality maxims, locutionary, illocutionary, and perlocutionary speech acts, as well as chained utterance sequences in the form of question-and-answer interactions between teacher and students. The findings also revealed that the learning process tended to be teacher-centered, as the teacher was more dominant in directing classroom interaction, although the communication remained interactive and supported the achievement of learning objectives.

This study aims to examine the effect of Work-Life Balance and Organizational Commitment on Turnover Intention with Job Stress as a mediating variable among working Master of Management students. This study applies the Job Demands-Resources Model and Social Exchange Theory to explain the relationships among variables. A quantitative approach with a causal research design was employed. The population consisted of 95 working Master of Management students enrolled in 2025, and 50 respondents were selected using purposive sampling. Data were collected through an online questionnaire using a five-point Likert scale and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results show that Work-Life Balance and Organizational Commitment have significant negative effects on Job Stress, while Job Stress has a significant positive effect on Turnover Intention. However, Work-Life Balance and Organizational Commitment do not directly affect Turnover Intention. Furthermore, Job Stress significantly mediates the effects of Work-Life Balance and Organizational Commitment on Turnover Intention. These findings indicate that reducing job stress is an important mechanism for lowering Turnover Intention among working students. The study contributes to the application of the Job Demands-Resources Model and Social Exchange Theory in the context of working graduate students.

The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

This study examines the impact of transformational leadership on citizen satisfaction with public service delivery in Indonesian local government context through a cross-sectional survey of 384 citizens in Tanah Datar Regency, West Sumatra, selected via stratified random sampling. Data were collected using validated instruments measuring transformational leadership (MLQ) and citizen satisfaction (adapted SERVQUAL), then analyzed using Structural Equation Modeling (SEM). Findings reveal that transformational leadership significantly predicts citizen satisfaction with public service delivery (β = 0.672, p < 0.001), with inspirational motivation (β = 0.284, p < 0.001) and individual consideration (β = 0.267, p < 0.001) showing the strongest effects. The model explains 45.2% of variance in citizen satisfaction, with service responsiveness and reliability emerging as key mediating factors. Results demonstrate that transformational leadership practices significantly enhance citizen satisfaction with public service delivery in local government settings, where leaders demonstrating inspirational motivation and individual consideration achieve higher citizen satisfaction levels. Practical implications suggest that local governments should prioritize transformational leadership training for public officials, emphasizing inspirational communication and personalized attention to citizen needs to improve public service delivery effectiveness, thereby contributing to the growing literature on public leadership effectiveness in developing country contexts.

This study aims to identify the pragmatic failures of Large Language Models (LLMs) and the biases of Anglophone-based AI moderation algorithms in detecting Indonesian hate speech expressed through sarcasm, satire, euphemism, and local cultural metaphors. It also examines the extent to which AI systems understand and interpret the pragmatic meanings within the corpus. This study employs a qualitative descriptive approach with a comparative design. Data were collected through the documentation of hate speech expressions on social media containing elements of local cultural hatred. The data were analyzed using qualitative descriptive methods with pragmatic and thematic approaches. The findings show that all corpus data contain political satire and indirect hate expressed through irony, sarcasm, absurd metaphors, and popular culture wordplay. Testing with Claude AI showed that the system was capable of identifying the data as implicit criticism and recognizing the pragmatic functions of emoticons and contextual meanings in the utterances. However, the analysis also demonstrated limitations in understanding local sociocultural contexts, particularly the metaphors “daun nangka” and “daun sawit,” which were interpreted merely as absurd humor. These findings indicate that AI detection accuracy does not necessarily reflect a deep pragmatic and cultural understanding within the Indonesian context.

Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

LAMPUKITA merupakan salah satu UMKM VCO di Kabupaten Fakfak. Hasil dari pembuatan VCO usaha tersebut,  menghasilkan blondo yang selanjutnya diolah menjadi minyak goreng.  Berdasarkan aspek pemasaran,VCO LAMPUKITA memiliki prospek yang baik. Namun, ketersediaan bahan baku kelapa yang memenuhi syarat pembuatan produk utama, jumlahnya terkadang tidak tersedia.  Penelitian sebelumnya fokus pada teknik ekstraksi VCO, masih sedikit membahas strategi bisnis spesifik untuk minyak goreng hasil blondo ditingkat UMKM dengan kendala bahan baku.  Tanpa strategi pengembangan yang tepat, LAMPUKITA akan sulit bertahan secara finansial meskipun produknya memiliki nilai gizi lebih unggul. Tujuan penelitian untuk mengidentifikasi kekuatan, kelemahan, peluang dan ancaman,  menentukan faktor internal, eksternal strategi terbaik dan model pengembangan bisnis baru yang dapat diterapkan LAMPUKITA. Penentuan lokasi secara purposive. Jenis data yaitu data primer dan data sekunder.  Teknik pengumpulan data yaitu observasi, wawancara dan dokumentasi.  Analisis data yang digunakan adalah deskriptif kualitatif (analisis SWOT dan BMC) dan kuantitatif (metode IFAS, EFAS dan QSPM).  Hasil analisis SWOT menunjukkan bahwa kekuatan utama usaha LAMPUKITA terletak pada keunggulan produk alami, pemanfaatan blondo VCO, serta cita rasa khas kelapa Fakfak. Kelemahan utamanya adalah keterbatasan ketersediaan kelapa yang memenuhi standar VCO, kapasitas produksi masih kecil, dan keterbatasan modal. Analisis IFAS dan EFAS menunjukkan LAMPUKITA berada pada kondisi cukup mendukung untuk dikembangkan secara internal dan eksternal. Keberlanjutan usaha ditentukan oleh manajemen rantai pasok  kelapa. Strategi paling tepat dikembangkan adalah strategi kemitraan dengan petani kelapa berbasis standar VCO.  LAMPUKITA dapat menerapkan berbagai model bisnis baru untuk menanggulangi keterbatasan bahan baku.

Penelitian ini mengkaji kesiapan transformasi digital pada usaha penjualan suku cadang otomotif menuju Autonomous Supply Chain (ASC) dengan menggunakan model MIISI. Pendekatan kuantitatif digunakan melalui survei terhadap 32 responden dan dianalisis menggunakan Partial Least Squares–Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa tingkat kesiapan berada pada kategori sedang hingga tinggi. Di antara dimensinya, Integration memiliki nilai tertinggi, sementara Instrumentation dan Standardization menunjukkan kesenjangan terbesar dibandingkan kondisi ideal. Tingkat kematangan digital berada pada Level 2–3, yang mengindikasikan bahwa sistem sudah terintegrasi sebagian namun belum sepenuhnya otonom. Selain itu, hasil SEM (R² = 0,164) menunjukkan bahwa tidak terdapat pengaruh langsung yang signifikan terhadap ASC, meskipun hubungan antar dimensi bersifat signifikan dan bertahap. Dimensi Integration menjadi faktor paling dominan, yang menegaskan bahwa kesiapan menuju ASC memerlukan proses transformasi digital yang berkelanjutan, terstruktur, dan terintegrasi.

Penelitian ini bertujuan untuk menganalisis praktik pembelajaran tafsir Al-Qur'an menggunakan bahasa Bali sebagai media instruksional di Desa Pegayaman, Buleleng. Di tengah arus globalisasi yang mengancam eksistensi bahasa daerah, masyarakat Pegayaman menunjukkan resiliensi budaya melalui integrasi nilai-nilai Islam dengan kearifan lokal Bali. Melalui studi kasus pada kegiatan pengabdian masyarakat di Masjid Safinatussalam pada 04 April 2026, penelitian ini mengeksplorasi bagaimana Ustadz Zihni Hasan mentransformasikan pemahaman Surah Al-Baqarah kepada jamaah remaja putri dan ibu-ibu melalui medium bahasa Bali. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan etnopedagogi. Hasil penelitian menunjukkan bahwa penggunaan bahasa daerah bukan sekadar alat komunikasi, melainkan strategi "pribumisasi" Islam yang memperkuat identitas "Nyama Selam"( penduduk islam yang telah lama menetap dan mengadopsi budaya bali dalam kehidupan sehari-hari). Penggunaan bahasa ibu terbukti efektif menurunkan hambatan kognitif dan emosional dalam memahami teks suci, sekaligus berfungsi sebagai sarana konservasi bahasa daerah. Temuan ini menegaskan pentingnya pendidikan agama Islam berbasis budaya sebagai model moderasi beragama di Indonesia.

Penelitian ini bertujuan untuk menganalisis pengaruh struktur modal terhadap nilai perusahaan, menganalisis pengaruh profitabilitas terhadap nilai perusahaan, serta menganalisis pengaruh likuiditas terhadap nilai perusahaan pada perusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan asosiatif. Populasi penelitian mencakup seluruh iverusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024 yang berjumlah 83 perusahaan. Sampel penelitian sebanyak 48 perusahaan yang dipilih melalui iverusa purposive sampling berdasarkan kriteria iv erusahaan yang terdaftar secara berturut-turut selama periode penelitian, mempublikasikan laporan keuangan secara lengkap, tidak mengalami kerugian selama periode penelitian, serta memiliki data yang sesuai dengan variabel penelitian. Jenis data yang digunakan adalah data sekunder yang bersumber dari laporan keuangan tahunan perusahaan yang dipublikasikan melalui situs resmi Bursa Efek Indonesia. Teknik pengumpulan data dilakukan melalui metode dokumentasi dengan mengakses dan mencatat data keuangan yang relevan. Analisis data menggunakan analisis regresi data panel dengan bantuan aplikasi Eviews melalui uji pemilihan model yang meliputi uji Chow, uji Hausman, dan uji Lagrange Multiplier untuk menentukan model yang paling sesuai. Hasil penelitian menunjukkan bahwa struktur modal yang diproksikan dengan Debt to Equity Ratio (DER) berpengaruh terhadap nilai perusahaan, yang menunjukkan bahwa komposisi penggunaan utang dan ekuitas dalam pendanaan perusahaan dapat memengaruhi persepsi investor terhadap kinerja dan prospek perusahaan. Profitabilitas yang diproksikan dengan Net Profit Margin (NPM) juga berpengaruh terhadap nilai perusahaan, yang mengindikasikan bahwa semakin tinggi kemampuan iverusahaan dalam menghasilkan laba maka semakin tinggi pula nilai perusahaan karena meningkatnya kepercayaan investor terhadap kinerja perusahaan. Sementara itu, likuiditas yang diproksikan dengan Current Ratio (CR) tidak berpengaruh signifikan terhadap nilai perusahaan, yang menunjukkan bahwa kemampuan perusahaan dalam memenuhi kewajiban jangka pendek belum tentu menjadi pertimbangan utama bagi investor dalam menilai perusahaan pada sektor makanan dan minuman.

Learning planning is a strategic component of instructional management because it guides teachers in linking objectives, materials, learning strategies, media, and assessment with students' characteristics. In practice, however, learning plans are often prepared individually and tend to be administrative, so teachers have limited opportunities to reflect on pedagogical decisions with colleagues. This study aims to describe and analyze collaborative-based learning planning management in improving teachers' pedagogical competence at SD Negeri Batujaya. The study used a descriptive qualitative approach with a case study strategy. Data were collected through observation, semi-structured interviews, and documentation, and were analyzed using the interactive model of Miles and Huberman, consisting of data reduction, data display, and conclusion drawing. The field data show that SD Negeri Batujaya has nine educators and education personnel consisting of one principal, six classroom teachers, and two subject teachers. The school also holds a teacher learning community twice a month. The findings indicate that collaborative planning is supported by the principal's academic leadership, the small number of teachers that enables intensive coordination, and the existence of a routine learning community. Collaboration helps teachers discuss teaching modules, student characteristics, learning strategies, media, and assessment. The main constraints are limited time, unequal teacher participation, and limited learning facilities. The study implies that a structured learning community can serve as a practical managerial strategy for strengthening teachers' pedagogical competence in elementary schools.

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.