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Di era Industri 5.0, adaptabilitas tenaga kerja menjadi urgensi utama karena terjadinya pergeseran paradigma dari fokus pada otomatisasi dan efisiensi menuju kolaborasi harmonis antara manusia dan teknologi yang berpusat pada manusia (human-centric), berkelanjutan, dan resilien. Penelitian ini menggunakan metode Systematic Literature Review (SLR) terhadap 40 artikel jurnal nasional dan internasional yang diterbitkan tahun 2020–2025 dari basis data Google Scholar, Scopus, dan Garuda. Tujuan penelitian adalah mengidentifikasi strategi upskilling dan reskilling yang efektif sebagai mekanisme adaptabilitas tenaga kerja terhadap disrupsi AI dan otomatisasi. Hasil kajian menunjukkan bahwa: (1) kesenjangan keterampilan global merupakan ancaman nyata dengan 50% karyawan membutuhkan reskilling pada 2025; (2) strategi upskilling dan reskilling yang efektif mencakup pembelajaran berbasis proyek, microlearning, platform digital adaptif, dan kemitraan industri; (3) dukungan organisasi, kepemimpinan transformasional, dan budaya belajar berkelanjutan merupakan faktor penentu keberhasilan; serta (4) hambatan utama implementasi meliputi keterbatasan anggaran, resistensi perubahan, dan kesenjangan infrastruktur digital. Temuan ini menegaskan bahwa investasi pada pengembangan modal manusia melalui program upskilling dan reskilling merupakan imperatif strategis untuk menjaga ketahanan organisasi dan daya saing tenaga kerja di era transformasi digital.

This qualitative study aims to explore the effectiveness of reward-and-punishment-based Islamic Religious Education in strengthening students' learning motivation at SMA Negeri 1 Bukateja using Travis Hirschi's social control theory framework. This research was conducted through a case study approach in one of the public high schools in Purbalingga Regency. Data were collected through interviews, participant observation, and documentation studies. The results of the study indicate that the implementation of rewards and punishments functions as a social control mechanism that is able to activate four elements of social bonds: attachment, commitment, involvement, and trust. The reward system in the form of praise, certificates, and gifts has been proven to strengthen the emotional bond between students and teachers, thereby increasing active participation and enthusiasm for learning. Meanwhile, educational punishments, such as reprimands, additional assignments, and community service, are able to build student commitment to rules and reduce indiscipline behavior.This study contributes to the development of Islamic education theory through a social control perspective and serves as a practical reference for Islamic Religious Education teachers in designing effective, fair, and sustainable learning systems.

Pengelolaan arsip dokumen klaim merupakan aspek krusial dalam mendukung akuntabilitas administrasi perusahaan penjaminan kredit. Penelitian ini bertujuan untuk menganalisis pengelolaan arsip dokumen klaim berdasarkan prinsip good governance dalam meningkatkan akuntabilitas administrasi PT Penjaminan Kredit Daerah Jawa Timur (Perseroda). Penelitian menggunakan pendekatan kualitatif deskriptif dengan teknik pengumpulan data melalui observasi partisipatif, dokumentasi, dan pencatatan lapangan reflektif. Hasil penelitian menunjukkan bahwa pengelolaan arsip dokumen klaim belum sepenuhnya memenuhi prinsip good governance, khususnya pada aspek transparansi dan akuntabilitas yang tercermin dari sistem penemuan kembali arsip yang masih dilakukan secara manual serta rendahnya pemanfaatan Electronic Document Management System (EDMS) dalam praktik kerja sehari-hari. Optimalisasi EDMS disertai penguatan SOP dan peningkatan kapasitas pegawai menjadi solusi strategis yang direkomendasikan.

Abstract:

This study aims to analyze the relationship between epistemology and scientific logic in the development of scientific knowledge using a library research approach by reviewing relevant literature in the fields of philosophy of science, theory of knowledge, and principles of scientific logic. The findings indicate that epistemology serves as a philosophical foundation for understanding the origin, structure, and validity of knowledge, while scientific logic functions as a systematic tool that guides reasoning in constructing rational and consistent scientific truth. Both have a complementary relationship, where epistemology provides a normative framework for determining the criteria of knowledge validity, and scientific logic ensures that the reasoning process is structured, coherent, and free from fallacies. Therefore, the integration of epistemology and scientific logic plays a crucial role in producing scientific knowledge that is objective, measurable, and academically accountable, while also enhancing the overall quality and credibility of the scientific process.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

Bank Syariah Indonesia (BSI) KCP Bengkong, Batam belum memiliki aplikasi yang mudah diakses untuk mengukur tingkat kepuasan nasabah, sehingga menyulitkan proses evaluasi kualitas layanan dan identifikasi aspek-aspek yang perlu ditingkatkan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem analisis kepuasan nasabah menggunakan metode Customer Satisfaction Index (CSI). Sistem dikembangkan dengan menggunakan model Waterfall dan dirancang menggunakan Unified Modeling Language (UML). Data dikumpulkan melalui penyebaran kuesioner kepada 30 responden dengan 15 item penilaian. Aplikasi yang dikembangkan diuji menggunakan metode black-box testing dan berhasil diimplementasikan dengan baik. Hasil penelitian menunjukkan nilai CSI sebesar 99,38 yang termasuk dalam kategori “Sangat Puas”. Sistem yang dibangun memberikan sarana yang efektif untuk mengukur tingkat kepuasan nasabah serta mendukung peningkatan kualitas layanan di BSI KCP Bengkong, Batam.

Digital technology advancements have greatly changed how small businesses manage their finances. This change is not only about recording transactions, but it also affects financial control, report preparation, and business decision making. Accounting Information System (SIA) came about as a solution to help small and medium businesses easily, organize, and accurately record their finances, as well as provide reliable financial information. This study aims to explain the role of the Accounting Information System in making it easier to manage the finances of small and medium businesses in the digital age, the benefits gained from using it, and the challenges faced during its implementation. The method used in this research is a literature review, which involves examining books, journals, and other related scientific publications, followed by analysis using a descriptive qualitative approach. Research findings show that using a digital-based Accounting Information System can improve business efficiency, speed up financial reporting, increase transparency, and make it easier for small and medium-sized businesses to get funding access. However, the implementation of the Accounting Information System still faces challenges such as a lack of technological understanding, limited infrastructure, and high implementation costs. Therefore, collaboration and support from various parties are needed to ensure the accounting information system is implemented effectively and sustainably in small and medium businesses.

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Early Marriage in Pagar Alam City is currently still quite high, the Pagar Alam Religious Court only relies on a recap of the number of cases per year to draw conclusions about the early marriage data. This method has limitations in classifying early marriage factors, so the Religious Court has difficulty in monitoring and controlling the occurrence of Early Marriage in Pagar Alam City. The purpose of this research thesis is to produce a classification system for Early Marriage factors using the K-Nearest Neighbor Algorithm to find out what factors influence the occurrence of Early Marriage, the method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) which has 6 stages, namely: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The testing stage in this study uses Confusion Matrix and BlackBox Testing. The final results of this study indicate that the system can classify Early Marriage factors. The classification model built achieved an Accuracy of 94.12% and a Precise value of 85.71% and a Recall value of 100.00%, while testing using Black Box testing in the form of alpha obtained a feasibility value of 83.2%, so this system is very suitable for use.  

concern for pet owners. Consequently, cat owners seek equipment that can support and simplify their daily pet care activities. However, the busy schedules of many cat owners often make it difficult for them to provide consistent care, raising concerns about the neglect of their pets. To address this issue, this study developed an automatic cat feeding system for a cat enclosure using an experimental research method. The proposed system utilizes a load cell sensor, a Real-Time Clock (RTC), a servo motor, and an ATmega16 microcontroller. The load cell sensor is employed to determine the appropriate food portion based on the cat's nutritional requirements, while the RTC controls the feeding schedule by dispensing food twice a day at predetermined times. The experimental results demonstrate that the system was successfully implemented, with the load cell measurement exhibiting an error rate of 10.71% relative to the predefined set point. Furthermore, the servo motor effectively controlled the valve mechanism, achieving a maximum opening angle of 85 degrees. Overall, the developed system performed reliably and met the expected operational objectives..

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

Pesatnya kemajuan teknologi digital telah mempercepat adopsi *Internet of Things* (IoT) dalam berbagai aspek kehidupan sehari-hari. IoT memungkinkan perangkat fisik untuk berkomunikasi dan bertukar data melalui konektivitas internet, sehingga proses menjadi lebih otomatis, efisien, dan responsif. Studi ini bertujuan untuk menganalisis pemanfaatan IoT dalam meningkatkan efisiensi kehidupan sehari-hari melalui pendekatan tinjauan pustaka. Metode penelitian yang digunakan adalah *Systematic Literature Review* (SLR), yang mengkaji dan menyintesis temuan dari berbagai studi terdahulu mengenai penerapan IoT di berbagai sektor, seperti rumah pintar (*smart home*), layanan kesehatan, transportasi, pertanian, dan pemantauan lingkungan. Hasil analisis menunjukkan bahwa IoT berkontribusi signifikan terhadap peningkatan efisiensi operasional, penghematan energi, perbaikan proses pengambilan keputusan, serta peningkatan kenyamanan pengguna. Terlepas dari berbagai manfaat tersebut, masih terdapat sejumlah tantangan, termasuk keamanan data, masalah privasi, interoperabilitas antarperangkat, biaya implementasi, dan ketergantungan pada infrastruktur internet yang stabil. Temuan studi ini menunjukkan bahwa IoT telah menjadi salah satu teknologi kunci yang mendukung transformasi digital dan peningkatan kualitas hidup. Pengembangan di masa mendatang diharapkan berfokus pada penguatan aspek keamanan, perluasan standar interoperabilitas, dan integrasi kecerdasan buatan (*artificial intelligence*) guna memaksimalkan efektivitas penerapan IoT dalam aktivitas sehari-hari.  

Breastfeeding should ideally begin immediately after birth and be provided exclusively for the first six months of life. However, in 2022, the coverage of exclusive breastfeeding among infants aged 0–6 months in Jayapura was only 21%, which remains far below the national target of 45%. Various factors contribute to this low coverage, including limited knowledge, lack of experience, insufficient support systems, and concerns among adolescent mothers that breastfeeding may interfere with their education or employment. This study aimed to explore the breastfeeding experiences of adolescent mothers in Wahno Village, Abepura Subdistrict. A qualitative research design was used, with structured interviews conducted using a questionnaire. The results indicated that the initiation of exclusive breastfeeding among adolescent mothers was generally positive. Participants reported mixed emotional experiences, including feelings of happiness, pride, stress, and discomfort. Family support, particularly from husbands, played an important role in sustaining breastfeeding practices. Most respondents also demonstrated adequate knowledge regarding how to manage breastfeeding-related challenges. Overall, adolescent mothers in Wahno Village showed a reasonable level of understanding and commitment toward exclusive breastfeeding. Continued education and support are recommended to further strengthen breastfeeding practices among adolescent mothers and their families.

The professionalism of novice lecturers is essential for improving the quality of higher education, particularly in Islamic Higher Education Institutions (PTKI). This study aims to analyze the implementation of the Short Course Program for Novice Lecturer Competency Development (PKDP) and examine the contribution of its learning materials to strengthening novice lecturers' professionalism at UIN Sulthan Thaha Saifuddin Jambi in 2026. A descriptive qualitative approach was employed using observation, in-depth interviews, and documentation. The program was conducted through blended learning, consisting of face-to-face sessions on 10–11 June 2026 at Aston Hotel Jambi and online sessions from 14–21 June 2026. The findings reveal that the PKDP was implemented systematically and effectively enhanced participants' pedagogical, professional, social, and academic competencies. The program materials also strengthened participants' readiness, enthusiasm, and commitment to carrying out the Tri Dharma of Higher Education. These findings indicate that PKDP is an effective strategy for developing novice lecturer professionalism and improving the quality of human resources in Islamic higher education.

The rapid development in the field of information and communication technology currently requires students to master Microsoft Word. This skill becomes a crucial asset, both to support academic activities and as early preparation before entering the workforce. One of the applications frequently used in document preparation is Microsoft Word. Observation data at SMK Ibrahiny 1 Sukorejo indicate that the utilization of Microsoft Word features by some students is not yet optimal. This is evident in the students' limitations in configuring layouts, margins, as well as creating headers and footers in documents. In order to achieve efficiency and speed in the creation of administrative documents, this training is focused on enhancing students' competencies in exploring the features of Microsoft Word. This training was conducted on June 1, 2026, in the computer lab of SMK Ibrahimy 1 Sukorejo, involving 15 students from the 10th grade forestry department as participants. The method used during the training included the delivery of basic material followed by direct practice and the use of a system roll method on each computer to identify obstacles or challenges in preparing administrative documents, as well as direct assistance to students to quickly resolve any issues and ensure no one misses the material. The purpose of this training is to improve efficiency in properly and accurately preparing administrative documents. Therefore, the organization of Microsoft Word training can be categorized as a strategic step in boosting the digital skills of the students.