Abstract:The increasing volume of patient visits in primary healthcare facilities (such as community health centers and clinics) demands efficient resource management and scheduling systems. The inability to predict patient arrival…
al patterns often leads to long queues and suboptimal allocation of medical personnel. To overcome these issues, this study proposes the development of an intelligent framework based on Stacking Ensemble Learning to accurately classify and predict patient revisit frequency patterns. The proposed architecture integrates three heterogeneous base classification models (base learners), namely Logistic Regression (LR), Support Vector Machine (SVM) with non-linear Radial Basis Function (RBF) kernel projection, and Random Forest (RF). The probability predictions from these three base models are then combined into a secondary Logistic Regression based meta-learner to optimize the final decision and reduce the predictive bias of single models. Experiments were conducted using a dataset sourced from actual primary healthcare medical records, totaling 499 data entries. Given the highly imbalanced distribution of demographic data, the preprocessing stages were comprehensively designed, encompassing numerical scale feature standardization and the application of the SMOTE (Synthetic Minority Oversampling Technique) class balancing algorithm. Model testing was performed using a 5-fold stratified cross-validation scheme to ensure the robustness of the model's generalization. Comprehensive evaluation results proved that the Stacking Ensemble architecture achieved peak performance with an Accuracy of 88.4%, Precision of 85%, Recall of 90%, and an F1-Score of 0.88. Furthermore, curve analysis revealed an Area Under the Receiver Operating Characteristic (AUC-ROC) score of 0.961 and a Precision-Recall AUC of 0.95, consistently outperforming the capabilities of each individual baseline model. These findings confirm that combining hybrid machine learning models can produce highly stable and reliable predictions while minimizing false negative errors. This architecture holds massive potential for practical implementation as the foundation of a decision support system in managing operational services within primary healthcare facilities.
Abstract:TELISIK+ 2026 merupakan program pengabdian kepada masyarakat berbasis komunitas yang dirancang untuk mengatasi ketimpangan akses persiapan Seleksi Nasional Penerimaan Mahasiswa Baru (SNPMB) sekaligus membekali peserta dengan…
ngan kapasitas akademik dan keterampilan masa depan. Program ini mengusung pendekatan high-tech meets high-touch yang memadukan pembelajaran berbantuan kecerdasan buatan dengan pendampingan tutor secara langsung, dan terdiri atas empat program yang saling terhubung: bantuan buku UTBK, kelas daring UTBK, penulisan ilmiah dan publikasi, serta pengembangan website edukasi berbasis AI. Kegiatan dilaksanakan secara daring pada 16 Januari–20 April 2026 menggunakan kerangka planning, organizing, actuating, controlling (POAC) dan dievaluasi secara deskriptif-evaluatif dengan kerangka RE-AIM. Hasil pelaksanaan menunjukkan 36 peserta menerima bantuan buku persiapan UTBK, 36 sesi pembelajaran terselenggara pada tujuh subtes bersama 18 tutor, serta 24 peserta menyelesaikan seluruh subtes tryout dengan rerata skor 616,3 dan reliabilitas instrumen yang tinggi (Cronbach's alpha 0,897). Sebanyak 34 peserta diterima di perguruan tinggi negeri melalui jalur SNBP 2026. Platform digital yang dikembangkan telah mengarsipkan 2.273 butir soal UTBK dan 1.950 butir soal SKD, serta menjangkau 551 pengguna aktif terverifikasi. Temuan ini menunjukkan bahwa integrasi pemerataan sumber belajar, mentoring humanistik, dan teknologi AI dapat membentuk ekosistem pendidikan komunitas yang inklusif, adaptif, dan berkelanjutan.
TELISIK+ 2026 is a community-based educational initiative designed to address inequality in access to preparation for the National Student Admission Selection (SNPMB) while equipping participants with academic capacity and future-oriented skills. The program adopts a high-tech meets high-touch approach that combines AI-supported learning with direct human mentoring, and comprises four interconnected programs: the UTBK Book Assistance Equity Program, the Online UTBK Learning Program, the Scientific Writing, Research, and Publication Program, and the AI-Based Educational Website Development Program. The activities were conducted online from January 16 to April 20, 2026, following the planning, organizing, actuating, and controlling (POAC) framework and evaluated through a descriptive-evaluative approach using the RE-AIM framework. The implementation resulted in 36 participants receiving UTBK preparation books, 36 learning sessions delivered across seven subtests by 18 tutors, and 24 participants completing all subtests of the practice test with a mean score of 616.3 and high instrument reliability (Cronbach's alpha of 0.897). A total of 34 participants were admitted to public higher education institutions through the 2026 SNBP pathway. The developed platform has archived 2,273 UTBK items and 1,950 SKD items, reaching 551 verified active users. These findings indicate that integrating equitable learning resources, human-centered mentoring, and AI technology can form an inclusive, adaptive, and sustainable community-based educational ecosystem.
Abstract:Digital transformation in public service management has become essential in addressing the challenges posed by contemporary society, including rising demands for transparency, efficiency, and accessibility. This article…
examines the impact of digital technologies on public service delivery, emphasizing the need for innovative strategies that enhance citizen engagement and improve service quality. The introduction provides a historical context for public service management and highlights the necessity for digital transformation. The literature review discusses various models and frameworks that underpin digital initiatives in the public sector. The methodology section describes the mixed-methods approach used to evaluate the effectiveness of digital transformation in public services. Results indicate that digital tools significantly enhance service efficiency, citizen satisfaction, and overall governance. The discussion highlights key findings, including the importance of leadership, infrastructure, and user-friendly interfaces in successful digital initiatives. Finally, the conclusion emphasizes the need for continuous adaptation and improvement in public service management to meet citizens' evolving needs in the digital age. This article aims to serve as a resource for policymakers, practitioners, and scholars interested in the intersection of digital technology and public administration.
Abstract:Nowadays, issues related to children's academic achievement are something that parents are concerned about. Every effort is made to improve their performance at school. However, there are times when children become tired…
or bored due to the long time needed to study. In some case found at SMAN 1 Tambun where the intelligence level is good but the learning achievement at school is not so, aka the value is very standard or behaves lazily at school or even like it is difficult to socialize so that it tends to be individual. From this matter, the teachers finally think that is the influence on current learning achievement externally and internally on their students. Not to mention that children are very easy to make excuses, especially those related to stress either due to the demands of parents, little rest time, do not fit into the environment so that they get to the point that school is not important just a formality so as not to be reprimanded by parents or to be the same as most people. The high and low achievement motivation of students is always used as an indicator of the good and bad learning achievement of a student. With achievement motivation, students will be encouraged to learn and like certain subjects happily studying the subject. In this study using a sample of 110 students and researchers sampled class X students at SMAN 1 TAMBUN. The results of this study indicate that there is a positive and significant influence of peer support, authoritarian parenting and resilience on academic achievement.
Abstract:Workload is a responsibility that each worker has to take on, but if the workload has an excessive quantity in many ways, it will certainly have a negative impact on the workers concerned. It is caused by all forms of workload…
rkload that can provide its own pressure for female employees with all the demands that exist, such as one of which is that female employees must still be able to perform stable or good performance in accordance with existing standards. In this situation, an ability called resilience is needed. Resilience will allow a person to keep standing upright in the face of existing problems and actively seek solutions to the problems being faced. Good resilience can greatly help female employees to be able to optimize their work, even in difficult times so that it has an impact on their health both physically and mentally, and affects the success achieved in interacting with their environment and remaining productive in carrying out their responsibilities to the fullest. Female employees who have resilience are certainly supported by a factor such as emotional intelligence that can help female employees increasingly have an awareness of the importance of resilience when facing existing difficulties. This study aims to determine the effect of emotional intelligence on resilience owned by female employees, especially those at PT "X" East Jakarta. This study involved 40 employees at PT "X" East Jakarta. The measuring instruments used in this study are resilience scale and emotional intelligence scale. The results of simple regression analysis show that emotional intelligence has a positive influence on resilience owned by employees at PT "X" East Jakarta. Emotional intelligence affects a person's level of resilience. The implication of this research is that can provide information to employees at PT "X" East Jakarta and or general readers who have the same condition to be more aware of the importance of having resilience and knowing the emotional intelligence factors that exist to still be able to help further improve resilience when in a difficult situation or condition such as pressure or a lot of workload.
Abstract:This study aims to describe the effect of a cybergogy-based approach supported by an e-module in fostering students’ digital literacy on the topic of mixture separation. Motivated by the demands of Industry 4.0/Society 5.0…
5.0 and low literacy outcomes (e.g., PISA 2022) as well as preliminary findings at SMP Negeri 1 Bagor—where only 50% of students surpassed the Minimum Mastery Criterion (KKM) of 70 in science—the research employed a pre-experimental one-shot case study design with 32 Grade VIII-D students. Digital-literacy performance was measured through a verified posttest and analyzed descriptively and inferentially. Shapiro–Wilk testing indicated non-normality, so a Wilcoxon test was conducted against the KKM benchmark. The mean posttest score was 82.28 (min 75.00; max 91.66), with average achievement across components of 79% (high category); hypertext navigation was the strongest component (94%, very high), while content evaluation was the weakest (64%, high). The Wilcoxon test yielded Asymp. Sig (2-tailed) < 0.001, indicating a significant improvement relative to the benchmark. These findings suggest that the cybergogy-assisted e-module is effective for cultivating students’ digital literacy in mixture separation, with device-access constraints noted as a practical limitation for future implementations.
Abstract:The assessment of student career readiness requires a systematic approach that considers multiple competencies and experiences relevant to workplace demands. This study develops an intelligent decision support system based…
ed on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate and map student career readiness. The study uses 20 student samples and five assessment criteria: field-specific competence (C1), internship experience (C2), communication skills (C3), digital literacy (C4), and English language proficiency (C5). Each criterion is assigned a weight based on its relative importance. The TOPSIS method involves decision matrix construction, normalization, weighted normalization, determination of positive and negative ideal solutions, distance calculation, and preference value calculation. The results show that Y11 achieved the highest preference value of 0.8296, followed by Y6 (0.7951), Y19 (0.7274), Y5 (0.7116), and Y2 (0.6999), while Y9 obtained the lowest preference value of 0.3112. Based on the classification results, 1 student (5%) was categorized as Highly Ready, 5 students (25%) as Ready, 12 students (60%) as Moderately Ready, and 2 students (10%) as Not Ready. These findings demonstrate that TOPSIS can effectively rank and classify student career readiness based on multiple assessment criteria. The proposed system can support higher education institutions in identifying students’ readiness levels and developing more objective, targeted, and data-driven career development strategies.
Abstract:The advancement of digital communication has generated a range of ethical challenges, including cyberbullying, insults, negative labeling, the dissemination of unverified information, privacy violations, digital ghibah (backbiting),…
backbiting), polarization, and discrimination. These challenges call for an ethical framework that is not merely technical in nature but is also firmly grounded in Islamic values. This study aims to reconstruct a Qur’an-based digital communication ethics framework through a thematic analysis of Qur’anic interpretation of QS. Al-Hujurat verses 11–13 and to examine its relevance to strengthening character education. This qualitative study employs a library research approach using thematic Qur’anic interpretation, content analysis, and contextual analysis of the Qur’an, classical and contemporary exegetical works, as well as scholarly literature on digital communication and character education. The findings reveal that QS. Al-Hujurat verses 11–13 embody eight ethical principles that can be reconstructed within the context of digital communication: Dignity Protection, Respectful Communication, No Negative Labeling, Critical Verification, Privacy Protection, Responsible Speech, Inclusive Interaction, and Digital Equality. These eight principles are synthesized into the Qur’anic Digital Communication Ethics Framework (QDCEF), which comprises three overarching dimensions: Dignity, Responsibility, and Inclusion. The framework is further mapped onto the character values of respect, empathy, civility, tolerance, critical thinking, objectivity, trustworthiness, responsibility, integrity, justice, and self-control. These findings affirm that QS. Al-Hujurat verses 11–13 are relevant not only as a source of moral and character education but also as a conceptual foundation for reconstructing a digital communication ethics framework that bridges Qur’anic values with the demands of character education in the digital era. The proposed QDCEF thus offers a value-based conceptual framework for fostering ethical, responsible, inclusive, and character-oriented digital communication.
Abstract:The rapid development of digital technologies has transformed organizational work environments and created new demands for leadership, employee adaptability, and engagement. This study aims to examine the effect of digital…
al leadership, learning agility, and employee engagement on employee performance. A quantitative approach with a cross-sectional survey design was employed. Data were collected from 250 employees using a structured questionnaire measured on a five-point Likert scale. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the measurement and structural models. The results demonstrate that digital leadership has a positive and significant effect on employee performance (β = 0.247; t = 4.218; p < 0.001). Learning agility also has a positive and significant effect on employee performance (β = 0.286; t = 5.037; p < 0.001). Furthermore, employee engagement has the strongest positive and significant effect on employee performance (β = 0.411; t = 7.126; p < 0.001). The model explains 68.4% of the variance in employee performance, indicating substantial explanatory power. These findings highlight the importance of integrating digitally capable leadership, continuous employee learning, and strong employee engagement to improve performance in an increasingly dynamic and technology-driven work environment. The study contributes to the understanding of how organizational and individual factors jointly support employee performance in the digital era
Abstract:Maintaining employees’ Work-Life Balance (WLB) remains a major challenge for organizations operating under high operational demands. This study examines the effect of Individualized Consideration on Work-Life Balance through…
hrough Organizational Citizenship Behavior (OCB), with Work Overload as a moderating variable. A quantitative explanatory approach was employed using a census survey involving 149 operational employees at PT PLN (Persero) UPT Cikupa, Indonesia. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4. The findings reveal that Individualized Consideration has a positive and significant effect on Organizational Citizenship Behavior but does not have a significant direct effect on Work-Life Balance. Organizational Citizenship Behavior, in turn, has a positive and significant effect on Work-Life Balance and fully mediates the relationship between Individualized Consideration and Work-Life Balance. Meanwhile, Work Overload does not significantly moderate the relationship between Individualized Consideration and Work-Life Balance. These findings demonstrate that individualized leadership contributes to employees’ Work-Life Balance primarily through the development of Organizational Citizenship Behavior rather than through a direct mechanism, particularly in a high-demand operational environment. Practically, the study suggests that organizations should strengthen Organizational Citizenship Behavior by fostering collaboration, voluntary support, and constructive interpersonal behavior among employees, rather than relying solely on individualized leadership practices to improve Work-Life Balance.