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Effective and efficient learning will encourage the achievement of educational goals. Learning must be managed well by paying attention to various strategies that are appropriate to the material being taught. One of them is a contextual learning strategy, which is deemed appropriate to the implementation of the curriculum. Contextual learning is a learning concept that helps teachers link the material taught with students' real-world situations and make connections between the knowledge they have and its application in real life. This learning emphasizes the process rather than the results, so that knowledge is formed in real terms by what is done and not just by memorizing concepts. According to contextual learning, knowledge will be meaningful when it is discovered and built by students themselves. For this, teachers need to understand students' learning types so that their teaching style can adapt to students' learning styles

Constantly changing business dynamics and changing customer preferences require company management to adapt. Customers who now have higher levels of wealth not only want efficient transportation, but also value comfort during travel. This means they need a comfortable vehicle, friendly service and a pleasant atmosphere to enjoy their trip. Therefore, companies must provide first-class service and satisfy their customers by highlighting added value compared to their competitors. The aim of the article is to analyze the application of authentic leadership in improving the quality of passenger service at PO. Haryanto Madura Division. The researcher used descriptive observational research methods. The descriptive research method is an Approach that aims to create an objective picture or description of a situation. .    

Procurement is a recurring activity in a company's business process. While the traditional procurement process is often considered less efficient and effective, it requires a better solution. The traditional procurement process also often requires a long time, high cost, and lack of transparency. This can lead to inefficiency and the risk of misuse. This research aims to develop a more efficient and effective procurement application model using SDLC and waterfall methodologies. This research uses observation methods to study the current procurement process and interviews to get input from stakeholders regarding application needs. The results showed that the developed procurement application model can help companies in a more efficient and effective procurement process. This application model can help companies to save time and costs, as well as increase transparency and accountability of the procurement process.

Financial ratio analysis is one of the measuring tools that can be used to analyze the financial condition of an institution. This study aims to measure and analyze the financial performance of City and District Zakat Management Organizations (OPZ) in Indonesia for the period 2019 and 2020 based on the ratio of activity, efficiency, amil funds, liquidity and growth. The method used in this research is descriptive qualitative with calculations using OPZ Financial Ratios published by PUSKAS BAZNAS. The data used in this study is secondary data obtained from financial reports published on the website. There are 8 samples used in 2019 and 10 samples used in 2020 that fulfill the sample criteria. The results of the study based on the overall activity ratio seen from the average performance in both years were effective and good. In the efficient ratio, 2019 as a whole showed inefficient results, while 2020 showed efficient results. The ratio of amil funds in both years showed good performance. The overall liquidity ratio in 2020 showed good performance results compared to 2019. The growth ratio in 2020 showed good performance, while 2019 showed poor performance.

This article discusses the management of labor costs in the public sector with a focus on the management of non-permanent employees (PTT) and outsourcing alternatives. This research highlights problems in personnel management, especially employee expenditure costs that must be borne by government agencies. This study reviews cost control systems, labor costs, and methods for managing honorary staff costs in government. The findings show that outsourcing is more efficient than recruiting PTT or temporary workers as a solution to control labor costs. Additionally, this paper recommends Activity Based Costing (ABC) method for public sector organizations to provide valuable information related to detailed cost data. This research shows that decentralizing recruitment in local governments can improve efficiency, effectiveness and fairness, but can also lead to corruption and disparities in the distribution of human resources. Cost control, outsourcing, and the use of Activity-Based Costing (ABC) can help public sector organizations manage costs and increase operational efficiency. To achieve better governance, operational efficiency and effective cost control, public sector organizations need to consider the various strategies and methods described in this research.

This research proposes the use of a decision support system based on the Profile Matching method to determine the thesis supervisor. This method is effective in making decisions that are in accordance with the concentration of the thesis title, functional position, and educational level of the lecturer. This research refers to the concept of a decision support system that offers several alternative choices to assist management in making decisions efficiently. The Profile Matching method is carried out with the stages of variable weighting, factor grouping, and total value calculation. This research also refers to related studies that have been conducted previously to build a more effective and efficient system in determining supervisors. The research method used is Research and Development with a waterfall System Development Life Cycle (SDLC) model. The results showed that the use of a decision support system with the Profile Matching method can provide recommendations for supervisors in accordance with the criteria set. Product testing using Aiken's V and ISO/IEC 25010 standards also shows that this system is feasible to use with good validity values and quality that meets standards. In conclusion, the decision support system with the Profile Matching method can help speed up and improve efficiency in determining thesis supervisors in the PTIK study program at UIN Sjech M.Djamil Djambek Bukittinggi. Suggestions for further development are to consider integration with web technology for ease of access and use.

In making death certificates, the Tangerang City Dukcapil Department provides services for making death certificates through Sobat Dukcapil to make it easier for the people of Tangerang City to process population documents, but with the existence of the Sobat Dukcapil application there are still problems regarding the system which is hampered, the lack of public understanding of using the Sobat Dukcapil application so that the service in making deeds death through dukcapil friends is still not effective. The purpose of this research is to determine and analyze the quality of service in making death certificates through Sobat Dukcapil at the Tangerang City Population and Civil Registration Service. The data collection techniques used are interview, observation and documentation techniques. Using Potter's theory (2003), namely the theory of service quality which has 6 indicators, the first is Appropriate and Relevant, the second indicator is Available and Affordable, the third indicator Can guarantee a sense of justice, the fourth indicator is Acceptable, the fifth indicator is Economical and Efficient, the sixth indicator is Effective. The results of the research from 6 indicators concluded that the indicators were appropriate and relevant because the presence of dukcapil friends could make it easier for people to submit requests for death certificates, only there were problems in the server error section. The available and affordable indicator concludes that it is still not affordable because there are still technical problems because the Android and iOS based ones are still temporarily deactivated and are still in the process of system maintenance. Indicators can guarantee a sense of justice that does not differentiate between certain groups, all are equally open and provide justice for society. Acceptable indicators conclude that the technical method is very easy to process on time, sometimes there are still some who don't understand how to use it. The economic and efficient indicators conclude that it is still not economical because registration of death certificates is still done offline. The effective indicator concludes that it is still not said to be effective because there are still problems with the system server still being maintained so that it becomes a technical obstacle.    

This research was conducted to examine/find out whether there is management of facilities and infrastructure in achieving learning effectiveness and to find out how the management of facilities and infrastructure is carried out at STT Baptist Medan. This type of research is qualitative. Data collection from informants was obtained through observation, interviews and documentation. The qualitative data obtained will be analyzed through the stages of data collection, data reduction, data display, and drawing conclusions/verification. The results of the research show that the management of facilities and infrastructure in achieving learning effectiveness at STT Baptist Medan includes the following: analyzing the needs and planning of educational facilities and infrastructure, procurement, inventory, utilization, maintenance, removal and supervision. Through the management of educational facilities and infrastructure carried out at STT Baptist Medan in accordance with theory and in the field, learning effectiveness can be increased, because when facilities and infrastructure are used effectively and efficiently they can contribute to education, namely: facilitating the learning and teaching process. When students and lecturers experience ease in accessing information and learning, the abilities of students and lecturers can increase so that interactions during learning can take place effectively and efficiently.

Data networks are the lifeblood of modern life, connecting people and information at high speeds. Frame Relay technology plays an important role in delivering efficient and reliable data connectivity, like a water pipe that flows information seamlessly. Specifically designed for Wide Area Network (WAN), Frame Relay works at layer 2, optimizing data transmission between remote locations. This research uses experimental research. Experimental research is a manipulative process that needs to be carried out by applying certain treatments/treatments to research subjects and observing/measuring the effects. This research was conducted by looking at the results of the ping test on Router 1, Router 2 and Router 3 in sending messages over the network in 1 cloud The "ping" command is used to test the network connection by sending packets to the specified IP address. The results of the "ping" command show that the network connection to IP address 192.168.5.100 can be guaranteed successfully, with an average response time of about 16 ms. The frame relay circuit on the cloud router uses frame relay technology to send data between connected devices. The cloud router becomes the center of the frame relay network and manages the data traffic between the devices. IP network configuration can be done automatically through DHCP Ping also shows that the network is reliable with a minimum response time of 13 ms, a maximum of 19 ms, and an average of 16 ms.

Air pollution and greenhouse gas emissions produced by motorized vehicles are one of the main problems in big cities. This encourages the development of more energy efficient and environmentally friendly vehicles, such as electric vehicles. This journal discusses the development of energy-efficient electric vehicles for urban transportation, with a focus on battery technology, vehicle design, and charging infrastructure. This research aims to develop energy-efficient electric vehicles that can meet city transportation needs. This research focuses on several aspects, namely: Lightweight and aerodynamic vehicle design: This design can reduce energy consumption and increase vehicle efficiency. Efficient propulsion system: An efficient propulsion system can increase mileage and reduce exhaust emissions. Advanced battery technology: Advanced battery technology can increase energy density and battery life. It is hoped that the results of this research will produce energy-efficient electric vehicles that are environmentally friendly and can help reduce air pollution in big cities.

This study explores the use of graphene-based nanofluids in enhancing the performance of solar-powered desalination systems. A laboratory-scale desalination system was developed to simulate the evaporation process, powered by solar energy, with the integration of graphene-based nanofluids to improve thermal efficiency. The experimental setup measured evaporation rates, energy consumption, and temperature profiles under varying solar radiation conditions (400–800 W/m²). Results revealed that the system with nanofluids demonstrated up to a 35% increase in evaporation rates compared to the baseline system without nanofluids, indicating enhanced heat transfer properties. Moreover, energy consumption was reduced by up to 20%, highlighting the improved energy efficiency of the system with nanofluids. The system with nanofluids exhibited higher temperatures in the evaporator, confirming more effective thermal utilization. Statistical analyses, including t-tests and regression analysis, confirmed the significant impact of nanofluids on both evaporation rates and energy consumption. This study demonstrates that graphene-based nanofluids offer a sustainable and energy-efficient solution for solar-powered desalination, particularly in areas with abundant solar radiation. The integration of nanofluids not only enhances the efficiency of the desalination process but also reduces operational costs, making it a promising alternative for addressing water scarcity in a sustainable manner. Further research is needed to optimize nanofluid formulations and assess their long-term feasibility for large-scale applications.

The existence of the Manpower and Transmigration Office in Central Java Province as an implementing element of government duties in the employment and transmigration sector certainly does not always run smoothly. One of the main issues that may be faced by the Manpower and Transmigration Office is the existence of a high administrative burden. The research method used is an empirical juridical approach using a combination of primary data and secondary data. Primary data is obtained through interviews and face-to-face meetings with resource persons relevant to the research context, while secondary data is obtained through document analysis of literature, policies, and related documents. The analytical approach used in this research is qualitative analysis, which allows for understanding and detailing qualitative aspects based on the issues studied. This study found that the administrative burden in the Central Java Provincial Manpower and Transmigration Office can include various things, such as the preparation of technical policies in the field of employment, community empowerment and transmigration, the implementation of government affairs and public services in the field of employment, guidance and implementation of tasks in the field of employment, and reporting the results of the implementation of main tasks and functions. And to deal with this burden most government programs, especially those managed by the Central Java Provincial Manpower and Transmigration Office, use online platforms and electronic media to process various aspects of employment. This effort helps in processing community reports more easily, quickly, and efficiently, so as to increase the effectiveness of the performance of Central Java Provincial Disnakertrans employees.   Keywords : Administrative burden, Manpower and Transmigration Office, Central Java Provincial

This study aims to analyze the influence of maintenance technique analysis on the increase of Gayo Arabica coffee production by farmers in Belang Gele, Bebesen District, Central Aceh Regency. Central Aceh Regency, especially the Belang Gele area, is known as one of the best producers of Arabica coffee in Indonesia, but farmers in this area face various challenges in increasing production, such as climate change, lack of maintenance technology, and pest and disease problems. Good maintenance techniques, including pruning, application of appropriate fertilizers, weed control, pest control, and plant shading, are expected to increase the production of high-quality coffee. This study uses a descriptive approach with data collection through field observations, interviews with coffee farmers, and analysis of the maintenance techniques applied. The results of the study show that the application of agroforestry-based maintenance techniques, the use of organic fertilizers, and efficient water management can increase the production yield of Gayo Arabica coffee. In addition, uncertain weather factors are also a major challenge that affects the quality and quantity of production output. Therefore, the results of this study are expected to provide practical solutions for farmers in increasing coffee production in a sustainable and competitive manner in the global market.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

Foundations are structural elements that play a crucial role in ensuring the stability and safety of buildings; therefore, understanding soil characteristics and stratification is a critical stage in geotechnical design. This study aims to analyze soil characteristics and stratification using Cone Penetration Test (CPT) data as a basis for determining safe and efficient foundation depth. The research method employed a quantitative–descriptive approach utilizing CPT test data obtained from two test points at the research site in Blitar City, East Java. The analyzed parameters include cone resistance (qc), sleeve friction (fs), and friction ratio (Rf), which were recorded continuously with depth in accordance with ASTM D3441-86. The results indicate that the shallow soil layer up to a depth of approximately 2.0 m is dominated by fine-grained soils with low qc values and high Rf values, making it unsuitable as a foundation bearing layer. The soil layer with the most favorable mechanical characteristics was identified at a depth of approximately 5.5–6.0 m, characterized by high and relatively stable qc values and low Rf values, indicating dense coarse-grained soil. Variations in the depth of hard soil layers between test points suggest lateral variability in subsurface conditions. These findings confirm that CPT data are effective for identifying soil stratification and providing preliminary recommendations for foundation depth in geotechnical planning.

This study focuses on optimizing electric vehicle (EV) battery recycling through the use of green chemical processes and circular economy principles. The research aims to enhance the recovery of valuable metals lithium, cobalt, and nickel from used lithium-ion batteries (LIBs) in an environmentally sustainable manner. Green solvents were employed as a safer alternative to conventional, toxic chemicals, minimizing hazardous waste emissions and improving the efficiency of the recycling process. Experimental results showed that the green solvent-based process achieved high recovery rates of 90% for cobalt, 87% for nickel, and 85% for lithium, with metal purity levels exceeding 95% for all three metals. The study also examined the scalability of the green solvent method, revealing its potential to offer more sustainable and cost-effective solutions compared to traditional methods, which typically involve high temperatures and toxic chemicals. Despite the promising results, challenges such as solvent recovery and the adaptation of the process for large-scale industrial applications remain. Nonetheless, the study demonstrates that integrating green solvent-based recycling into the global EV supply chain can significantly reduce environmental impacts, conserve resources, and support the transition to a circular economy. The findings highlight the potential of this recycling method to provide a more sustainable and efficient solution for EV battery recycling, ultimately contributing to the development of a more sustainable EV industry.

The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction through CNN with temporal dependency modeling via LSTM to enhance predictive accuracy and clinical decision support. A quantitative experimental design was employed, utilizing multi-source healthcare datasets that underwent preprocessing, normalization, and feature engineering prior to model training. The performance of the hybrid model was evaluated using Accuracy, Precision, Recall, F1-Score, AUC-ROC, and Mean Absolute Error (MAE), and compared with conventional machine learning models and standalone deep learning architectures. Experimental results demonstrate that the proposed CNN–LSTM model achieves superior performance, with improved classification accuracy and reduced prediction error, while maintaining strong generalization capability. The findings indicate that integrating spatial and temporal feature learning significantly enhances disease detection, risk stratification, and personalized treatment planning. This approach supports the development of intelligent clinical decision support systems and scalable smart healthcare environments. The proposed framework offers a reliable and efficient solution for advanced healthcare analytics in IoT-enabled systems.

Shopping activities have become a dominant phenomenon in people's lives, one of which is among students. Students are an important segment in society, so they have become a shopping preference that deserves to be understood more deeply. The aim of this research is to analyze student behavior and preferences from shopping experiences. This research uses a descriptive quantitative method with data collection using a questionnaire with closed answers. The questionnaire was filled in by 152 respondents spread across various universities in Indonesia. The research results show that the e-commerce applications that are often used by students are Shopee and Tokopedia. Students prefer to shop through online shops because the prices offered are more affordable than conventional shops. Apart from that, if you shop via an online shop, the activity time is shorter and more efficient. In the online shop, the products offered are quite diverse and varied, and there are lots of promotions on offer so that they attract the attention of buyers. Online shops are used by students to buy fashion and skincare products because the products offered are more diverse compared to offline shops. Based on this data, it can be understood that students choose to shop through online shops using the Shopee and Tokopedia applications and choose to shop for fashion and skincare.

This study aims to determine the application of good governance principles at the Wajo Regency Investment and One-Stop Integrated Services Office (DPM-PTSP), the research informants consist of staff and employees along with the public who want to take care of licensing letters at the Wajo Regency DPM-PTSP Office. This study uses a qualitative method with a descriptive approach.The results of this study show that the application of Good Governance principles at the Wajo Regency Investment and One-Stop Integrated Services Office (DPM-PTSP) has been running well, including accountability that has been effective and efficient in terms of achieving strategic objectives that contain vision, mission, goals and objectives, and activities that are equipped with performance indicators and targets to be achieved,  Transparency with the accountability of staff and employees in carrying out their respective duties which are quite professional, Participation shows that the community feels very satisfied with public services, and the Rule of Law is also very good because it is carried out fairly without discriminating against the social status of the community. The conclusion is that the application of the Good Governance Principle at the Wajo Regency DPM-PTSP office has been realized and implemented well.