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This study examines the readiness of elementary school teachers to implement AI-based learning in the era of artificial intelligence, as technological advancements increasingly influence instructional practices in basic education. Despite the growing potential of artificial intelligence to support teaching and learning processes, empirical evidence regarding teachers’ preparedness at the elementary level remains limited. This study employed a descriptive quantitative research design involving 18 elementary school teachers. Data were collected using a structured questionnaire consisting of 15 Likert-scale items measuring technological skills, knowledge of artificial intelligence, attitudes toward AI, pedagogical readiness, and infrastructure support. Descriptive statistical analysis revealed that the overall mean score of teachers’ readiness was 4.08, indicating that teachers are generally ready to adopt AI-based learning. Technological skills emerged as the strongest aspect of readiness, reflecting teachers’ familiarity with digital tools and instructional technologies, while infrastructure and institutional support obtained the lowest mean score, highlighting challenges related to facilities, access to technology, and policy support. These findings suggest that although elementary school teachers demonstrate positive readiness and attitudes toward AI-based learning, effective and sustainable implementation requires strengthened institutional support, improved infrastructure, and continuous professional development to maximize the educational benefits of artificial intelligence in elementary education.

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

The dynamic changes in weather patterns in Jambi City require an accurate temperature prediction system, thus this study aims to compare the performance of Random Forest and Support Vector Regression (SVR) algorithms in predicting daily maximum temperatures using weather data from 2020–2024 obtained from OpenMeteo with the application of Feature Engineering including lag and rolling window features. The test results indicate that the SVR model with a Radial Basis Function (RBF) kernel optimized using Grid Search (C=10, epsilon=0.2, gamma=0.01) significantly outperforms Random Forest based on a statistical Paired T-test (p-value < 0.05), yielding an R-squared (R²) value of 87.46%, Mean Absolute Error (MAE) of 0.3818 °C, and Root Mean Squared Error (RMSE) of 0.4964 °C compared to Random Forest's R² of 84.05%, where the previous day's temperature (lag) and three-day rolling average were identified as the most dominant predictors, leading to the recommendation of SVR as the more effective method for temperature prediction in the study area.

The increasing demand for interactive web applications has encouraged the adoption of server-driven approaches such as Livewire as an alternative to building Single Page Applications (SPAs) without complex client-side JavaScript. However, the performance implications of this approach compared to conventional methods remain insufficiently explored. This study presents an empirical comparison between Laravel Blade with AJAX and Livewire in an academic attendance system scenario. Performance evaluation was conducted using k6 on the same web server, complemented by manual browser-based testing to observe actual communication patterns. The results indicate that Livewire exhibits approximately 2.7× higher average response time and up to 6× greater bandwidth consumption than Laravel Blade, primarily due to its snapshot mechanism and state synchronization process. Conversely, Livewire demonstrates better stability, reflected by lower maximum response times and a 0% error rate. These findings highlight a clear trade-off between resource efficiency and development convenience, where Livewire favors stability and developer productivity, while Laravel Blade provides superior efficiency in terms of latency and bandwidth usage.

Sentiment analysis is a technique in Natural Language Processing (NLP) used to identify user opinion tendencies based on textual reviews. This study analyzer user reviews of the Maxim application on the Google Play Store and compares three Machine Learning algoritmhs-Naïve Bayes, Support Vector Machine (SVM), and CatBoost-in classifying sentiment. The research stages include data collection, text preprocessing, feature extraction using TF-IDF and Chi-Square, class balancing using SMOTE, and performance evaluation through Accuracy, Precision, Recall, and F1-Score. ANOVA is used to examine the influence of feature selection on model performance. The results show that each model exhibits different performance level across the tested feature combinations. The CatBoost achieved the highest accuracy of 99,26% and demonstrating the most stable performance. Meanwhile, the Naïve Bayes and SVM models experienced performance decreases experiments, especially after applying SMOTE. These findings indicate that the choise of algorithm, feature extraction method, and class balancing technique significantly affects classification outcomes. Overall, CatBoost is identified as the best-performing model, providing more consistenst classification result in accordance with the characteristics of the user reviews.

Social loans are an important tool for developing local economies, especially in remote areas such as rural areas. The Indonesian Village City Savings and Loan Cooperative (KSU) is one of the business entities that provides loan capital to its members. The purpose of this study is to determine the mechanism of social loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City and to determine the perspective of Islamic Economic Law on loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City. This research method uses a descriptive research type with a qualitative approach. Data collection was carried out through observation and interviews with the Management and members of the Savings and Loan Cooperative (KSU) of the Indonesian City Village. The results of the study show that first, the loan application procedure involves several steps such as becoming a member, filling out forms, completing documents and the approval stage. The maximum loan provision is 80% of the savings balance with a loan tenor of 12 months and 18 months. The payment system is made in installments through salary deductions and is subject to a 5% interest. For borrowing members who are late, there are no sanctions or fines but there is a time dispensation. Second, the loan application and management mechanism at the Multipurpose Cooperative has met sharia principles through transparent and structured governance, such as deductions from salary installments and a guarantee policy provided in the form of the amount of member savings balances. However, social loans at the Multipurpose Cooperative contain an element of benefit (profit) of 5%, which according to some scholars can be classified as usury because of the addition of value to the principal loan, even though the benefit is returned to members through the Business Result Remainder (SHU).

Posyandu (Integrated Health Post) is a public health facility that plays a vital role in providing health services for toddlers and pregnant women. However, data management and reporting often face challenges, such as limited access to information and errors in data recording. Therefore, this study aims to develop a Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework to improve efficiency and accuracy in data management and reporting. In the development phase, a system requirements analysis and web-based application architecture design were conducted. The system implementation uses the CodeIgniter Framework as a framework to produce a faster, more efficient, and more reliable application. Proposed features include recording health data for toddlers and pregnant women, immunization schedules, weighing, and health reports. The results show that the Web-Based Posyandu Payolaumbu Service Information System can improve efficiency in recording and reporting health data. Users, including posyandu officers, midwives, and administrators, can easily access and manipulate data in real-time. Furthermore, this system helps improve service quality by providing more accurate and complete information on toddler health. In conclusion, the implementation of the Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework provides significant benefits for data management and health services at Posyandu Payolaumbu. Suggestions for further development include maximizing system utilization, developing additional features, routine maintenance, and ongoing evaluation based on user feedback. With these steps, it is hoped that this system can contribute more effectively to improving the quality of health services at Posyandu and supporting comprehensive public health efforts.

This study aims to analyze the role of Village-Owned Enterprises (BUMDes) in improving community welfare in Tanarawa Village, Waiblama District, Sikka Regency, and to evaluate the implementation of BUMDes programs. Tanarawa Village has primary economic potential in the plantation and food crop sectors, managed largely by the community as farmers. BUMDes was established as an instrument for village economic empowerment with the aim of increasing Village Original Income (PAD), strengthening the local economy, and maximizing the utilization of natural resources and human resources. This study used a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The results indicate that BUMDes Tanarawa is still in the development stage, although it has been able to contribute to community welfare through the provision of basic necessities, training, outreach, and consultations related to business management. The success of BUMDes is influenced by government support, quality leadership, community participation, and transparent and accountable management. However, limited understanding by the community and village officials, as well as obstacles in implementing outreach, are inhibiting factors that need to be addressed. This study confirms that BUMDes plays a strategic role in local economic empowerment, improving community welfare, and equitable distribution of village economic growth.

Corrective maintenance is one of the maintenance strategies performed after system failures or malfunctions occur, particularly in diesel power plants (PLTD) that play a crucial role in supplying electricity to remote areas such as Jayapura. This study aims to identify the types of failures occurring in diesel engines at the Jayapura PLTD and to evaluate the corrective maintenance actions implemented. Data were collected through direct observation during an internship program, interviews with technicians, and analysis of historical maintenance and failure records. The results indicate that the most common failures occurred in the lubrication system, fuel system, and cooling system. Corrective actions included component repairs, spare part replacements, and system adjustments. The application of timely and appropriate corrective maintenance significantly reduced machine downtime and improved the reliability of the power generation system. This study recommends integrating corrective and preventive maintenance strategies to maximize operational efficiency of the PLTD.

Physical fitness is a fundamental determinant of athletic performance and is strongly influenced by dietary intake and lifestyle behaviors. Adequate protein consumption is essential for muscle development and energy metabolism, whereas smoking has detrimental effects on lung function and aerobic capacity. This study aimed to explore the relationship between protein intake and smoking habits with physical fitness, measured by maximal oxygen uptake, among athletes of Persela Football Academy under-eighteen. A quantitative approach with a cross-sectional design was applied, involving adolescent male athletes. Protein intake was assessed using a semi-quantitative food frequency questionnaire, smoking habits were obtained through structured interviews, and maximal oxygen uptake was measured using the multistage fitness test. Findings revealed that the average daily protein intake of athletes was relatively high, while the mean maximal oxygen uptake score fell within the good category. Correlation analysis demonstrated a significant association between protein intake and aerobic fitness, as well as between smoking habits and aerobic fitness. The results indicate that lower protein intake and higher smoking frequency are linked to reduced physical fitness capacity. This study highlights the importance of nutritional interventions and healthy lifestyle promotion as integral components in the development of youth athletes to optimize performance and prevent decline in fitness.

Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

The rapid advancement of digital technology has significantly transformed the economic landscape, particularly in payment systems that are shifting from conventional cash transactions to the use of Electronic Money (E-Money). E-Money has become increasingly popular due to the convenience it offers, allowing users to conduct transactions anytime and anywhere without the need to carry physical cash. As this payment innovation continues to expand, it is essential to examine whether its mechanisms comply with Islamic principles, given that the use of E-Money is closely related to the values of muamalah in Islam. This study aims to identify the underlying contractual structure (akad) governing Mandiri E-Money transactions and to assess its conformity with sharia principles. It further analyzes the potential presence of gharar, riba, or maisir within the top-up and transaction processes, as well as the sharia mitigation mechanisms that may be applied. The research employs a normative approach based on classical and contemporary Islamic legal theory, supported by observational analysis of Mandiri E-Money practices. Data were analyzed qualitatively using a descriptive method and maqashid al-shariah reasoning. The findings indicate that the use of Mandiri E-Money does not involve elements of riba, gharar, or maisir, and therefore does not deviate from sharia principles. These potential risks were examined through fiqh legal maxims and DSN-MUI fatwas to ensure comprehensive sharia compliance.

Early Childhood Education (PAUD) holds a very important role in shaping children’s character, moral values, and foundational knowledge. As an effort to support the success of education, good quality learning outcomes are required as a benchmark for children’s holistic development. In this context, educator management becomes one of the keys to improving the quality of learning outcomes. PAUD Al-Qur’an (PAUDQU) is an early childhood education institution that prioritizes Al-Qur’an education and Al-Qur’an memorization (tahfidz) as its institutional uniqueness. The findings of this research show that the educator management implemented in PAUDQU in Setu Bekasi District is quite good, as almost all elements within the scope of educator management have been carried out by the school. However, there are several obstacles found in its implementation, such as the educators’ competencies that have not been maximized, particularly in Al-Qur’an recitation (tahsin) and tahfidz, as well as the promotion, compensation, and educator assessment systems that are not yet well-structured. KIPAS EVA, an acronym for Competence Implementation Evaluation Appreciation, was developed with the expectation of being easier to remember, thus supporting the process of applying educator management in the future. This management strategy emphasizes educator planning by strengthening competencies, professional learning implementation by educators, continuous educator evaluation, and providing appreciation to increase educator motivation.

This study aims to analyze and understand the development of the financial sector in Indonesia through a literature review covering four main aspects: banking, financial digitalization, fiscal reforms, and financial literacy, as well as their impact on economic growth and public welfare. This literature review summarizes various findings and theories regarding the dynamics of the financial sector in efforts to maintain economic stability in Indonesia. The research findings indicate that the development of the banking sector plays a significant role in driving economic growth, particularly in expanding access to financing and improving the ease of fund distribution. In addition, digitalization strengthens the growth of financial technology by expanding access to financial services. Ongoing development of technology policies aims to address challenges in financial digitalization to make it more effective and secure. Furthermore, well-targeted fiscal reforms aim to improve productivity and economic stability. Meanwhile, the public also needs to cultivate wiser financial behavior to maximize the utilization of financial services as part of enhancing financial literacy. In conclusion, the positive impact of the advancement of the financial sector benefits economic growth and public welfare in Indonesia. This study emphasizes the importance of fostering collaboration between government policies, digital innovation, strengthening financial institutions, and helping the public enhance their capabilities to create a more inclusive and sustainable financial ecosystem.

Expansive clay soil is soil that can expand and contract significantly in response to changes in soil moisture content. This study used an experimental method to stabilize expansive clay soil using a mixture of gypsum waste powder, which was tested using the Atterberg test, the Unconfined Compression Strength test, and the California Bearing Ratio test with mixture variations of 0%, 10%, 20%, and 30%. The results showed that the addition of gypsum waste powder could reduce the expansivity level of the soil from a very high level of 42% to a moderate level of 20%, increase the value in the Unconfined test at a maximum mixture of 10%, and increase the value in the CBR test at a maximum mixture of 30%. Based on the above description, this study aims to determine the extent of the effect of gypsum waste powder on expansive clay soil on the bearing capacity and compressive strength of expansive clay soil.  

One of the factors that causes a company to grow is because of the maximum income or profit obtained. When raw material prices rise or there is an increase in labor and overhead costs , the company must incur higher costs to produce products. If this condition s not balanced with selling price adjustments, the profit margin will narrow and net profit will decrease. Net profit is a key indicator that reflects ai company's financial performance. Profit is a basic and important position of the financial overview that has various uses in various contexts, the definition of profit itself is the difference between expenses and income. The effect of production and sales costs on net profit at PT Unilever Indonesia Tbk during the period 2015 to 2022 reflects the complex phenomena faced by the company in carrying out its operations. During this period, PT Unilever faced various challenges organiting from market conditions, changes in rai material prices, and fluctuating consumer demand. The results of this study indicate that: (1) Production costs partially do not have ai significant effect on net profit, this is evidenced by ai significance value of 0.363 > 0.05. (2) Sales partally have ai significant effect on net profit, this is proven by ai significance value of 0.035 < 0.05. (3) Production and sales costs simultaneously haive ai significant effect on net profit, this is proven by ai significance value of 0.000 < 0.05. (4) The influence of the independent variables of production and sales costs on the dependent variable of net profit is 89.3%, while the remaining 10.7% is influenced by other factors outside this reseairch model.

This study examines the implementation of digital health services via the Mobile JKN application at the Payung Sekaki Community Health Center in Pekanbaru City and explores factors affecting service effectiveness, especially complaints about long waiting times. Using a descriptive qualitative approach based on the Mobile Health Acceptance Model by Handayani et al. (2021), the study focuses on five constructs: ease of use, system availability, system responsiveness, health workers’ digital skills, and user trust. The results show that Mobile JKN has significantly simplified administrative processes, accelerated registration, and improved service efficiency at the health center. Effectiveness is supported by factors such as the application’s general ease of use, faster queue data processing, and adequate digital skills among staff. Users also show a high level of trust, though queue time estimation still needs improvement. Despite these benefits, complaints about long waits persist due to patients who register online but still queue manually and misunderstandings between Mobile JKN and e-Puskesmas queue numbers. Late patient arrivals also contribute to delays. Overall, Mobile JKN proves effective in enhancing digital health services, but further optimization is needed through better socialization of service procedures, accurate queue information, and improved system integration to maximize the advantages of digitalization.

The focus and objective of the community service program is to empower teachers at MIN 8 Nganjuk and its surrounding areas to maximize their scientific writing. While scientific writing in the form of PTK is an administrative obligation, it also provides a positive contribution to improving learning. The Asset-Based Community-Driven Development (ABCD) method prioritizes the utilization of existing assets and potential. The ABCD steps include Discovery (discovering potential), Dream (shared dreams), Design (program design), Define (determining concrete steps), and Destiny (determining goals and implementation). The results of the mentoring program indicate that the teachers have a good foundation in writing scientific papers. However, they are still hampered by busy administrative routines. The training aims to stimulate writing enthusiasm and bridge the realization of book chapters among teachers. This mentoring is expected to have a positive impact on improving the quality of teachers' scientific work and improving the learning process at school. In addition, this program also aims to build a sustainable writing culture among educators.

This study aims to analyze Indibiz Bogor’s digital marketing strategy in enhancing brand awareness through the use of Instagram Reels, with a specific focus on the role of content creators in planning, producing, and optimizing short-video content. As social media increasingly becomes a primary promotional channel, businesses are required to produce creative and relevant content capable of attracting and engaging audiences effectively. This research employs a qualitative approach, with data collected through observation, interviews, and documentation conducted during October–November 2025. The findings show that content creators play a strategic role in idea development, trend analysis, audience needs identification, and producing visual materials that align with Indibiz’s brand identity. Instagram Reels are proven effective in increasing audience engagement, expanding reach, and strengthening brand perception across digital platforms. However, several challenges persist in the production process, including suboptimal internal coordination, sudden concept revisions, and limited production time. These findings highlight the importance of more structured content planning, improved team communication, and consistent performance evaluation to optimize Indibiz’s digital marketing efforts and maximize their impact on brand awareness.

The problems in rice fields are complex and varied, depending on geographic location, rice variety, and growing season. Pests often cause serious economic losses. The Solar Sonic Repeller is an innovative portable pest control device designed to address pest problems by utilizing renewable energy, specifically solar energy. This product aims to offer an environmentally friendly and efficient solution. It works by emitting ultrasonic sound waves with a frequency of 30,000–40,000 Hz. The device's advantages lie in its portability and energy independence, thanks to the use of a charging module powered by an integrated photovoltaic (PV) panel with automatic battery charging during the day. The first test measured the output frequency using an oscilloscope to verify that the oscillator circuit produced waves at the specified frequency. The second test measured the device's effectiveness by examining the pest response to the device at various distances. This test was effective within a maximum radius of approximately 14 m from the center point, covering a rice field area of ​​250 m2.