E-Journal Universitas Islam Negeri Sumatera Utara
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The Relationship between Self-Concept and Communication Anxiety in Students: A Quantitative Approach
Full text linkThis study measures the relationship between self-concept and communication anxiety in students by collecting research to find the results of problems that exist on campus and the current campus environment. The primary approach in this research is quantitative. The data to be processed quantitatively in this study comes from a questionnaire. The questionnaire method is divided into a subject identity checklist, the Tennessee Self-Concept Scale, and a communication anxiety scale. A sample of 100 students was drawn based on non-randomly selected majors at Pancasila University: Economics, Law, Psychology, Communication, and Pharmacy. Twenty students were selected from each major. The sampling technique used non-probability sampling, namely the side quota technique. There was no significant relationship between self-concept and communication anxiety in students. The results showed an r value of 0.094, which is not significant at α = 0.05. This means there is no correlation between self-concept and communication anxiety. Thus, the null hypothesis (H0) is accepted
Evaluating Robust Estimators in Geographically Weighted Regression for Stunting Analysis at the District-Level Across Java: A Focus on Outlier Handling
Full text linkRate remains high and lags behind neighboring countries such as Vietnam and Thailand. This slow progress underscores the need for region-specific interventions and a deeper understanding of local factors driving stunting to meet the 14% national target. This study applies RGWR, an improvement over GWR for handling outliers. This method uses M, S, and MM estimators applied to the analysis of the prevalence of stunting among children under five the 2018 Riskesdas data across 85 districts in Java. Immunization reduces disease risk, growth monitoring detects stunting early, ARI management mitigates disease impact, parental height influences stunting risk, and working mothers improve family income and healthcare access, all contributing to reduced stunting. Given the regional variation in impact, stunting reduction policies should be spatially tailored, the MBG program should be prioritized in eastern Java regions
LASSO Quantile Regression for Predictive Modeling of Dengue Hemorrhagic Fever Incidence in Indonesia
Full text linkDengue Hemorrhagic Fever (DHF) is an endemic disease that continues to burden public health in Indonesia, characterized by an uneven pattern of distribution influenced by various environmental, social, and economic factors. This study aims to develop a predictive model for DHF incidence using the LASSO Quantile Regression approach, which can reveal the influence of predictor variables across different quantiles while addressing multicollinearity and overfitting issues. The data used includes nine predictor variables obtained from BPS and BMKG for the year 2025. The estimation results show that the urban/rural Area Size consistently affects all quantiles, while the percentage of population living in poverty and the number of healthcare facilities are significant only at the 0.25 and 0.50 quantiles. Model evaluation indicates that this approach provides good predictive performance, especially at the 0.25 quantile, with a R² pseudo value of 0.2838. These findings suggest that the LASSO Quantile Regression method is effective in identifying the determinants of DHF in Indonesia
Choosing the Right Tool: Practical Considerations for GLMM and GEE in Longitudinal Studies, with a Focus on Data Challenges
Full text linkThe proposed research systematically reviews the comparative issues between GLMM and GEE for longitudinal data. The review discusses the competing arguments regarding the practical strengths and weaknesses of the two arrests. Empirical evidence demonstrates that GLMM generally provides subject-specific estimates and performs better than GEE in hierarchical and individual variance. In contrast, GEE provides resilient population-level findings, which are crucial for policy. The choice of method depends on the data structure and scope of inference. GLMM is consistently better when characterizing individuals, for example, in studies where we assume random effects are drawn from a complex distribution. GEEs shine most brightly in large datasets, obtaining robust population-level estimates even when the working correlation is misspecified. Finally, the results provide hands-on recommendations for researchers from various domains who apply statistical models to longitudinal studies to select solid, context-fitting statistical models for long-term studies
Numerical Modeling Based on The Finite Element Method by Fortran90 Software on Beam-Column Joint
Full text linkThis research discusses the finite element modeling of flexural failure in beam-column joints subjected to monotonic loads. This research aims to model numerically based on the finite element method by Fortran90 software on beam-column joint. The analysis is conducted using two-dimensional finite element method with three sides (triangular). The method used is quantitative and experimental. Validation testing is carried out on beam-column joint specimens with beam dimensions of 15x20 cm and column dimensions of 20x20 cm (a length of 100 cm). The compressive strength of the beam-column joint is 21 MPa. The test was conducted with a loading pattern at the end of the beam at a height of 1 m from the column. The comparison between the calculations using laboratory testing and the finite element method shows very consistent results
Implementation of Entry Age Normal and Projected Unit Credit Methods in Pension Fund Calculation
Full text linkPension funds are financial assets provided to individuals who have retired due to reaching retirement age. PT. Pasifik Arta Indonesia, a company established in Medan for approximately five years, lacks a comprehensive understanding of pension funding, specifically concerning normal contributions and actuarial obligations for employees and agencies using the EAN and PUC methods. This study aims to provide an overview of pension fund calculations at PT. Pasifik Arta Indonesia by comparing the two methods. The results show that normal contributions under the PUC method increase with the length of service, whereas the EAN method maintains constant contributions regardless of service length. Both methods share a common trait: the younger the employee at the time of hiring, the lower the normal contribution. Regarding actuarial obligations, both methods exhibit increasing values with longer service, with the EAN method resulting in higher obligations compared to the PUC method
Dampak Penggunaan Artificial Intelligence (AI) dalam Meningkatkan Kompetensi Akademik Mahasiswa Prodi PAI Pascasarjana UIN Syahada Padangsidimpuan
Full text linkAbstractThis study aims to describe the form of utilization of Artificial Intelligence (AI), especially those based on Natural Language Processing (NLP), in the learning process and analyze its impact on the academic competence of students of the Postgraduate Islamic Religious Education Study Program, Masters Program, UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan. In addition, this study also identifies various supporting and inhibiting factors in the application of AI as a learning medium in higher education environments. This study uses a qualitative approach with a descriptive method. Data collection techniques are carried out through in-depth interviews, observations, and documentation. Data were analyzed qualitatively through the process of data reduction, data presentation, and drawing conclusions. The results of the study showed that students utilized NLP-based AI, to access academic literature and information, assist in compiling scientific papers, improve understanding of the material, and as a companion media in the independent learning process. The use of AI has a positive impact on several aspects of students' academic competence, including increasing digital literacy, strengthening scientific thinking skills, effectiveness in completing academic assignments, and independence and responsibility in learning. Supporting factors for the use of AI in learning include user readiness as reflected in the mastery of digital technology, the availability of internet access, and institutional support such as adequate training and facilities. Meanwhile, inhibiting factors include a weak understanding of the ethics of using AI, the risk of plagiarism, and the potential for dependence on technology that can reduce students' critical thinking
TRANSFORMATION OF ISLAMIC BOARDING SCHOOL EDUCATION IN THE DIGITAL ERA: A CRITICAL ANALYSIS OF THE INTERNALIZATION OF QUR'ANIC VALUES
Full text linkThis study aims to analyze the transformation of Islamic boarding school education in the digital era with a focus on the internalization of Qur'anic values as the core of Islamic education. The rapidly growing digitalization phenomenon has brought opportunities and challenges for Islamic boarding schools, both in terms of management, learning methods, and the transmission of religious values. The method used is library research with a descriptive qualitative approach, through a critical review of reputable journals, academic books, and relevant documents discussing the digitalization of Islamic education and the practice of internalizing Qur'anic values. The results show that digitalization not only affects the technical aspects of the implementation of Islamic boarding school education, but also impacts the pattern of teacher-student relationships, the authority of kiai, and the depth of internalization of Qur'anic values. On the one hand, digital technology expands access to knowledge, enriches learning methods, and increases the effectiveness of Islamic boarding school management. However, on the other hand, there is a risk of reducing the meaning of Qur'anic values, spiritual degradation, and the penetration of external cultures that are not always in line with Islamic boarding school traditions. This research emphasizes that the integration of digital technology and the internalization of Quranic values must be carried out critically and selectively, while still upholding the role of the exemplary role of Islamic scholars (kyai). The academic contribution of this research lies in the presentation of a new conceptual framework that connects digital transformation with the internalization of Quranic values, thus serving as a reference in developing adaptive, authentic, and transformative Islamic education strategies
BOARDING SCHOOL AND CHARACTER EDUCATION: EXPLORING MORAL DEVELOPMENT IN ISLAMIC EDUCATIONAL INSTITUTIONS IN INDONESIA
Full text linkThis study aims to explore how Islamic boarding schools (pesantren) in Indonesia play a strategic role in shaping students’ character education amid the challenges of modernization and globalization. Employing a library research approach, this study critically analyzes primary and secondary literature from reputable journals to understand the development of moral values and character within Islamic educational institutions, particularly pesantren. The findings reveal that pesantren implement a holistic and integrated character education system based on exemplary behavior, habitual practices, and spiritual reinforcement. Pesantren have also demonstrated adaptability in responding to the demands of modern society without losing their traditional core values. The pesantren model, with its affective and transformative approach to character building, is deemed highly relevant for adoption in formal educational institutions as an alternative to current character education practices. These findings reinforce the argument that pesantren are not only historically relevant but also contextually and futuristically positioned to address contemporary moral and educational challenges. The study's main contribution is proposing a pesantren-based character education model as a pedagogical framework suitable for integration into the national education system
OPTIMALISASI MANAJEMEN SISWA DALAM MENINGKATKAN PRESTASI NON AKADEMIK MADRASAH ALIYAH NEGERI 1 LAMPUNG TIMUR
Full text linkStudent achievement is of great concern to society. Schools that are able to create student achievement are seen as positive schools, while schools that minimize student achievement are seen as negative schools. This research was designed using qualitative methods. The problem is discussed through field research at MAN 1 Lampung Timur to get thoughts related to optimizing student management in improving non-academic achievement. Research data were obtained by means of interviews, observations, and documentation studies. All data were analyzed, with interactive analysis through 3 activities, namely data reduction, data presentation, and conclusion drawing. The results showed that planning to improve non-academic achievement includes: (a) Identification of non-academic activities that are in accordance with the talents, interests and potential of students. (b) Socialization of non-academic activities. (c) Identification of supporting infrastructure for non-academic activities. Optimizing student management in improving non-academic achievement includes: (a) organizing non-academic activities that are in accordance with the talents, interests and potential of students. (b) encouraging student participation in organized non-academic activities. (c) grouping students in selected non-academic activities. (d) appointing non-academic activity coaches according to their competence. Evaluation of improving non-academics includes: (a) Written test. (b) Comparing the achievement of results