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Early childhood development (0–6 years) is a critical period that shapes a child’s physical, cognitive, socio-emotional, language, and moral growth. The family, as the first educational environment, plays a vital role in shaping the child’s character and adaptive skills, particularly through parent–child interactions. In Muslim communities, child-rearing focuses on not only psychological aspects but also reinforcing religious values through Islamic Parenting, which is based on the principles of rahmah (compassion), uswah (exemplary behavior), guidance, and ‘adl (justice), as outlined in the Qur’an and Hadith. This study uses a qualitative literature review to analyze the role of Islamic Parenting in early childhood development, highlighting the significance of these values. The review shows that Islamic Parenting plays a crucial role in optimizing children’s holistic development, including cognitive, social, emotional, moral, and spiritual aspects. Key components of this model include parental exemplification, compassion, religious education, positive behavior habituation, and cognitive stimulation through educational interactions. This model can be implemented through daily practices such as prayers, storytelling, and character reinforcement. In conclusion, Islamic Parenting fosters not just biological caregiving but also character, morality, and spirituality, preparing children for contemporary challenges.

This study aims to analyze the role and optimization strategies of Pecalang Segara in monitoring fishing activities that contribute to coral reef ecosystem degradation in the Traditional Village of Pemuteran, North Bali. Pecalang Segara is a customary security institution that holds social legitimacy and customary authority in maintaining order within coastal areas. This research applies an empirical legal approach using a qualitative descriptive method. Data were collected through field observations, interviews with customary leaders and coastal communities, and a literature review of environmental laws and related regulations. The findings indicate that Pecalang Segara plays a strategic role in supervising fishing activities based on local wisdom, particularly in preventing destructive fishing practices that damage coral reefs. However, the effectiveness of this role remains limited due to insufficient technical capacity, low environmental legal awareness, and weak integration between customary law and formal legal systems. The study highlights the importance of strengthening Pecalang Segara through environmental education, regulatory-based monitoring training, and institutional coordination with local government authorities. The integration of customary law and national environmental law is expected to establish a sustainable community-based marine monitoring model capable of effectively protecting coral reef ecosystems and supporting environmental governance in coastal areas.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This research investigates the development of integrated operational systems connecting terminal and ship operations for docking and berthing time optimization through systematic analysis of historical data. Port efficiency depends critically on minimizing vessel turnaround time, with berth allocation, docking procedures, and cargo operations coordination determining overall port productivity and competitiveness. Through qualitative analysis involving port operators, terminal managers, ship agents, harbor masters, and operations research specialists, this study examines how historical operational data can inform intelligent coordination systems improving berthing efficiency. Results demonstrate that data-driven integration systems incorporating predictive analytics, automated scheduling, and coordinated workflows can reduce average berth turnaround time by 15-30%, improve berth utilization by 20-35%, and decrease operational conflicts by 40-60% through optimized allocation and proactive coordination. Key implementation challenges include data quality and availability, system integration complexity, organizational coordination barriers, and resistance to automated decision support. Findings reveal that historical data-based optimization represents transformative advancement from experience-based scheduling to evidence-driven operational planning supporting port efficiency enhancement, capacity maximization, and service reliability improvement. This research contributes to port operations literature by providing practical frameworks for data-driven berthing optimization applicable to diverse port operational contexts.

Strengthening family-based microenterprises is one strategic approach to improving the economic resilience and independence of local communities. Family microenterprises not only serve as a source of income, but also as an important instrument in maintaining the social and economic stability of households. This study aims to describe the conditions of family-based microenterprises, identify obstacles to their development, and formulate strategies for optimizing family economics in Neighborhood I of Padangmatinggi Village, Padangsidimpuan City. This study uses a descriptive qualitative approach with data collection techniques through in-depth interviews, field observations, and documentation studies. Research informants include family micro-business actors, village officials, and other related parties. The results show that family-based micro-businesses have a real contribution to increasing household income and meeting basic family needs. However, business development still faces limitations in capital, low financial literacy, limited product innovation, and minimal marketing access. Therefore, an integrated development strategy is needed that includes increasing human resource capacity, facilitating access to financing, utilizing digital technology, and institutional support from the local government to realize the sustainability of family micro-businesses.

This research focuses on optimizing the control system to improve voltage stability in a 10 kW Solar Power Plant (PLTS) located in a tropical region. The main issue addressed is voltage fluctuation caused by the intermittent nature of solar radiation (200–1200 W/m²) and temperature variations (20–50°C), which result in up to 12% overshoot in the inverter. The proposed method implements a Proportional-Integral-Derivative (PID) controller optimized using the Particle Swarm Optimization (PSO) algorithm with real-time irradiation input data. The research integrates a 100 Hz digital low-pass filter to mitigate sensor noise under low irradiation conditions. Simulation results show that the PID-PSO system successfully reduces overshoot from 12.1% to 4.2% under high irradiation, and decreases settling time from 0.62 seconds to 0.31 seconds. The digital filter effectively reduces measurement deviation from 7.2% to 2.8% at 200 W/m² irradiation. The PSO optimization achieved optimal convergence within 37 iterations with an Integral of Time-weighted Absolute Error (ITAE) value of 0.18. This study concludes that the implementation of PID-PSO with a digital filter significantly enhances the voltage stability of the PLTS by 20.3% compared to conventional PID control and is ready to be applied in tropical-region smart grid systems.

This study aims to analyze the level of digital readiness and the development of digital promotion strategies at Florina Bouquet MSME as an effort to enhance competitiveness in the digital era. The research background arises from the limited optimi\zation of Instagram features and digital marketing strategies, resulting in low product visibility in the digital market. This study employs a qualitative descriptive approach with data collected through observation, in-depth interviews, and literature review. A scoring analysis was applied to evaluate three main components: digital readiness, digital marketing strategy and implementation, and their impact on competitiveness. The findings indicate that Florina Bouquet demonstrates a relatively high level of digital readiness in terms of infrastructure and basic platform utilization; however, weaknesses remain in strategic planning, content creation, feature optimization, and consistent monitoring. Despite these limitations, the uniqueness of the product and strong market potential contribute positively to competitiveness, especially in differentiation and brand perception. The results highlight the need for more structured, consistent, and data-driven digital promotion strategies to improve marketing effectiveness and expand market reach. This study provides practical implications and strategic recommendations for MSMEs to strengthen their digital marketing performance sustainably.

Waste management has become a critical issue in achieving sustainable development, particularly in urban areas such as Medan City, where the volume of waste continues to increase each year. This study aims to analyze the optimization of economically valuable waste utilization through recycling activities to support the Sustainable Development Goals (SDGs), using a literature-based approach. The method employed is a literature review by collecting, examining, and comparing previous research from national and international journals related to recycling practices, circular economy principles, and urban waste management. The findings indicate that the utilization of economically valuable waste—such as plastic, paper, metal, and organic materials—can generate economic benefits for communities while improving overall waste management efficiency. The reviewed studies also highlight several key factors influencing recycling success, including government policies, the availability of recycling facilities, public awareness, and collaboration with recycling industries. Optimizing waste utilization has been shown to contribute significantly to various SDGs targets, including waste reduction, improved community welfare, and environmental protection. Therefore, strengthening the recycling ecosystem through multi-stakeholder collaboration is essential for Medan City in promoting sustainable urban development.

Cooling towers are widely used in various industrial applications for water cooling systems. In these towers, water is cooled by air, and the heat released from the water to the air consists of both sensible and latent heat. The efficiency of this heat transfer significantly impacts the performance of the cooling tower. Objective: This study aims to determine the effectiveness and mass flow rate of water in a cooling tower, focusing on the relationship between water temperature, flow rates, and overall cooling tower performance. Method: The analysis includes measurement of the water temperature (48.176 °C), mass flow rate (175.235 kg/s), and the wet bulb temperature (16.988 °C) in the cooling tower. These parameters are analyzed to assess the cooling tower's performance in terms of its heat transfer efficiency. Results: The cooling tower's performance analysis shows an effectiveness of 59.36%. The mass flow rate of water is 175.235 kg/s, and the hot water flow rate is 9373.32 kg/s. The data indicate that the improved water flow and air flow have a positive impact on the heat transfer rate. Novelty: This study highlights the critical role of maintenance and the optimization of flow rates and cooling tower components in enhancing the heat transfer efficiency. It offers valuable insights into the relationship between operational parameters and cooling tower performance. Implications: The findings suggest that proper maintenance and improvements to water and air flow can significantly enhance cooling tower efficiency, leading to better heat transfer and overall system performance. This has important implications for industrial applications that rely on cooling towers for effective water cooling systems.

Ibnu Sina Yarsi Islamic Hospital Padang Panjang plays a crucial role in providing medical services to the community. However, challenges such as inadequate facilities, limited service space, and insufficient healthcare personnel have led to long queue times and schedule mismatches, adversely affecting patient satisfaction. This study analyzes strategies to improve service quality at the hospital using a qualitative descriptive approach with data collected through observation, interviews, and documentation involving management, medical staff, and patients. Data validity was ensured by triangulation, and analysis followed the Miles and Huberman interactive model. The findings reveal that strategies focusing on human resource development programs, performance-based budget management, and consistent application of standard operating procedures (SOP) have been implemented effectively. Despite this, limitations in human resources, budget, and physical infrastructure hinder optimal results. Strengthening internal capacity and resource optimization are necessary to achieve sustainable improvements in service quality.

Changes in intergovernmental fiscal transfer policies and the increasing emphasis on spending efficiency in Indonesia have encouraged regional governments to strengthen fiscal independence through the optimization of locally generated revenues, particularly local taxes. This study aims to evaluate local tax performance as a strategic instrument for supporting regional fiscal autonomy and fiscal resilience under fiscal decentralization. The analysis focuses on regional governments in Lampung Province during Fiscal Years 2019–2023. Using a descriptive quantitative research design, this study employs secondary data obtained from audited regional financial reports. The analytical framework applies a value for money approach to assess local tax effectiveness, complemented by growth ratio analysis to examine revenue dynamics over time. The findings indicate that local tax performance varies considerably across regions, revenue growth remains volatile, and fiscal resilience is more likely to emerge in regions where effectiveness and growth are relatively balanced. Overall, the results suggest that strengthening fiscal autonomy requires not only achieving revenue targets but also ensuring stable and sustainable local tax performance.

This community service article aims to improve the marketing capacity of UMKM Tri.Crochet Situgede through the implementation of an integrated digital marketing strategy. The method used is qualitative with a Participatory Action Research (PAR) approach, involving collaboration between the implementation team and the UMKM owners. The program includes need assessment, branding improvement, promotional content creation, product photography, and optimization of Instagram and TikTok as the primary marketing platforms. Training and technical assistance were provided to enable UMKM to independently create content, manage posting schedules, and expand promotional reach. The results show a significant improvement in visual content quality, audience engagement, account reach, and product visibility. This directly impacted the increase in product sales. The findings indicate that an effective digital marketing strategy can enhance the competitiveness and market penetration of creative UMKM. Ongoing mentoring also proved crucial in ensuring the sustainability of marketing practices applied to handmade craft UMKM, allowing them to continue growing in an increasingly competitive market.

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

The plastic recycling industry generates wastewater that poses a potential threat to aquatic environments if not managed optimally. Performance evaluation of Wastewater Treatment Plants (WWTP) is typically conducted partially by comparing outlet parameters against effluent standards, often failing to depict water quality conditions holistically. Therefore, this study employs the Water Quality Index (WQI) approach using the Canadian Council of Ministers of the Environment (CCME) method to evaluate the performance of PT X's WWTP in East Java. This research utilized secondary data from inlet and outlet wastewater quality tests over 23 months (January 2024–November 2025), covering 10 parameters. Analysis was conducted by calculating removal efficiency and determining factors F1 (scope), F2 (frequency), and F3 (amplitude) as the basis for the WQI-CCME calculation. The results indicate that the WWTP achieved high efficiency (>80%) in reducing dominant parameters such as TSS, TDS, BOD, and COD. However, violations of effluent standards were still observed in certain parameters. The obtained WQI-CCME value was 69,30, categorized as "Fair" with a moderate level of violation. These findings demonstrate that although the WWTP meets regulatory standards, the WQI-CCME approach provides a more comprehensive assessment of performance. Optimization of advanced treatment units is recommended to improve effluent quality and sustainable WWTP performance.                                                                   

Lovebysisdaisy is a micro, small, and medium enterprise (MSME) producing handmade phone charm accessories and operating as a home-based business with limited digital marketing capabilities. This community service program aimed to strengthen digital marketing through Instagram optimization and the utilization of Shopee as an e-commerce platform. A participatory approach was applied, involving the business owner from problem identification to evaluation. Methods included observation, interviews, and digital documentation, followed by assistance in content development and Shopee store management. The results show that structured Instagram content improved visual consistency and audience engagement, while the establishment of a Shopee store enabled organized product catalogs and initial customer interactions. These outcomes indicate increased digital awareness and readiness of the MSME to implement sustainable online marketing strategies and expand market access.

This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

The development of lanthanum-doped barium hexaferrite materials has attracted considerable attention in the field of functional materials, particularly as electromagnetic wave absorbers. This literature review aims to analyze advances in synthesis methods, structural characteristics, magnetic properties, and electromagnetic absorption performance of lanthanum-doped barium hexaferrite reported in various studies. Synthesis techniques such as sol–gel, coprecipitation, solid-state reaction, and hydrothermal methods are compared to evaluate their effects on crystallite size, morphology, and phase purity. Lanthanum doping is known to modify lattice parameters, reduce coercivity, and enhance complex permittivity and permeability, which play crucial roles in absorption mechanisms. Furthermore, variations in dopant concentration significantly influence reflection loss values and effective absorption bandwidth. The reviewed literature indicates that optimization of composition and synthesis routes can produce materials with high absorption capability, good stability, and strong potential for application in electromagnetic interference mitigation devices. This review is expected to serve as a conceptual reference for future development of lanthanum-doped barium hexaferrite–based electromagnetic wave absorbing materials. The comparative approach also highlights research challenges, industrial application opportunities, and future research directions relevant to the evolving demands of modern communication and defense technologies at both national and global levels.

This community service program aims to optimize construction project planning through assistance in preparing a business feasibility study at PT Sahabat Anugrah Sejati. The construction sector is a strategic industry that requires effective resource management, proper risk mitigation, and accurate planning to ensure project success. Therefore, the program supported the partner in analyzing financial, managerial, market, and economic aspects prior to making investment decisions for the proposed project. The results show that the project is feasible based on the Net Present Value (NPV) and Internal Rate of Return (IRR) analyses. An efficient organizational structure, a competent management team, and strong supervision mechanisms further strengthen the project’s operational readiness. Increasing demand for construction services also enhances the company’s market prospects. However, several areas still require improvement, including heavy equipment utilization, material efficiency, and digital marketing strategies. This program provides strategic recommendations to help PT Sahabat Anugrah Sejati improve project feasibility, operational effectiveness, and long-term business sustainability.

This study analyzes the conditions of extreme overcapacity in an installed exhaust ventilation system (Qinstalled = 18.00 /minute) that serves four acid cabinet units, specifically for the storage of volatile Hazardous and Toxic Materials (B3) such as toluene and methanol in tightly sealed containers. Although high capacity ensures safety, this practice causes significant energy inefficiency and unnecessary negative pressure problems in the room. Based on engineering analysis using a conservative Air Change Rate (ACR) standard of   for liquid storage of 1.38 /minute. By applying the industry standard safety factor (FoS) of 1.5, the ideal flow rate (Qideal) that must be allocated is 2.07 . The optimization analysis concludes that the currently installed system is theoretically capable of safely and efficiently serving 8 units of volatile storage acid cabinets, with the addition of 4 new cabinets to maximize efficiency and reduce energy waste. This utilizes 92% of the total capacity while maintaining a safety factor above 1.5.

This study aims to analyze cost and time optimization in project management through a case study of developing a QR Code–based Digital Warehouse Management System. The project was carried out by a team of students from the Logistics Management Study Program as a practical implementation of modern project management concepts in an academic environment. The research employed a descriptive qualitative case study approach, including observation, documentation, and literature analysis. The results indicate that the use of QR Code technology significantly improves time efficiency in stock recording by up to 80% and reduces the risk of human error. In terms of cost, the project successfully optimized resources by utilizing personal devices and open-source software, eliminating the need for additional infrastructure investment. The project also demonstrated effective implementation of the Work Breakdown Structure (WBS), risk management, and evaluation based on the Triple Constraint principle. These findings highlight that simple digital innovations can greatly enhance operational efficiency and project management performance, making them a strategic solution for SMEs in the digitalization of warehouse operations.