Changes In Demand Research Articles

Legal Uncertainty in Criminal Justice: A Study of the Practice of Changing Charges in Replicas Based on the Criminal Procedure Code

Dynamic legal demands often lead to changes in the criminal justice process, including changes in demands in replies. As the legal basis for criminal procedure in Indonesia, the Criminal Procedure Code gives the public prosecutor (JPU) the authority to change the indictment before the trial begins. Still, it does not explicitly regulate changes in demands in replies. This study aims to analyze demand changes in replies using a qualitative approach and literature study. The data used are in the form of laws and regulations, such as the Criminal Procedure Code, the Prosecutor's Office Law, and court decisions, as well as related legal literature. The study results indicate that changes in demands in replies are a practice that occurs in the dynamics of trials, although they do not have a strong legal basis. This has implications for legal certainty and the principle of legality in criminal procedure law. Changing demands require special attention from stakeholders to formulate more explicit rules to ensure justice and legal certainty for all parties involved in the criminal justice process.

Sectoral Interdependencies and Multipliers in Nigeria: An Input-Output Approach

This study examines the sectoral contributions to Nigeria's Gross Domestic Product (GDP) and intersectoral interdependencies using Input-Output (I-O) analysis. Results as obtained from the 2022 Eurostat database revealed significant value added/sectoral contributions, agriculture ($6.512B, 15.1%), fishing ($4.529B, 1.1%), food/beverages ($8.446B, 19.6%), and mining/quarrying ($14.659B, 34.1%). Intersectoral interdependencies highlighted key intersectoral linkages between agriculture and food/beverages, mining/quarrying and other industries, and fishing and food/beverages. Results showed that agriculture's output (74.58%) is primarily consumed by households and used by the food and beverages sector; output from mining/quarrying (85.73%) is consumed mainly by industries (manufacturing/construction), and output from the fishing (81.68%) sector is mainly consumed by households and used by the food and beverages sector. The Type I and Type II multipliers assessed the economic ripple effects of changes in industry demand. The findings indicate substantial indirect effects, with output multipliers ranging from 1.726% (food/beverages), 2.118% (fishing), 1.803% (mining/quarrying), and 1.758% (agriculture). Income multipliers range from income multipliers: to $2.053B (food/beverages), $3.290B (fishing), $2.540B (agriculture), and $3.01B (mining/quarrying). Fishing and mining/quarrying sectors exhibited the highest total multiplier effects, emphasizing their potential for driving economic growth. The study confirms the robustness of the results using I-O analysis, validating the initial findings. Policy implications include targeted investments in strategic sectors such as agriculture, fishing, food/beverages, and mining/quarrying, which would stimulate economic growth and diversification. Also, resource allocation and diversification strategies to enhance intersectoral linkages would maximize economic benefits and reduce dependence on individual sectors.

The Use of Atmospheric Reanalysis Data for the Estimation of Solar Irradiation Considering the Effect of Atmospheric Aerosols over Brazil

In recent years, several studies have evaluated the potential of renewable energy sources in response to climate change and high energy demand. Due to its equatorial location and significant solar and wind potential, Brazil has incorporated alternative sources into its energy matrix, driven by more efficient and economical technologies for solar energy. However, the availability of observed data is still limited, and many studies rely on satellite estimates or extrapolations of in situ observations from other regions, compromising the efficiency of new technologies. This study uses NASA MERRA-2 reanalysis data to evaluate the influence of aerosols and cloudiness on the estimate of solar irradiance in Brazil. INMET stations were chosen in regions representative of the Brazilian climate and geography, with more than 12 years of observational data. MERRA-2 includes aerosol fields that interact with the model’s radiation fields, with a spatial resolution of 0.5° and hourly temporal resolution. Variables used include shortwave radiation fluxes and aerosol optical depth. Statistical indices used in performance analysis include mean bias, mean squared error, and Pearson correlation coefficient. The stations’ diurnal solar irradiance cycles were compared with MERRA-2 reanalysis data, considering different scenarios of aerosol and cloudiness effects. The reanalysis data represented the Bauru and Santa Maria stations well, while others, such as Barreiras and Goiânia, showed underestimation. Monthly cycling was also analyzed, highlighting seasonality, with greater amplitude in Santa Maria and lower in Caicó. In some locations, such as Campo Grande, the influence of aerosols is more significant, especially during the dry months, when forest fires, mainly in the Amazon region, increase the aerosol optical depth. The results show that reanalysis estimates can be used to evaluate the temporal variability of solar irradiation in regions without observational data. In conclusion, the study was able to evaluate the temporal variability of solar irradiation in Brazil using MERRA-2 atmospheric reanalysis data, demonstrating that, although there are differences with observational data, reanalysis estimates are useful in areas without observed data, with values correlation values above 0.8 and reaching values close to 0.95. However, although small, the differences observed between measured and estimated solar irradiation are generally caused by the inability of models to adequately represent the fraction of clouds and aerosols in the atmosphere.

Navigating turbulence: leadership evolution in crisis management through response–recovery frameworks

Purpose This study aims to explore the role of organisations and leaders in addressing crises, with a focus on the Coronavirus disease 2019 pandemic. It proposes a conceptual framework that integrates leadership competencies and crisis management, the response–recovery framework, explained through the five-stage cycle starting from crisis identification, crisis planning, crisis containment, crisis recovery, to redesigning crisis management. Design/methodology/approach This research relies on an extensive review of literature on leadership and crisis management. A structured bibliometric analysis was conducted using tools like VOSViewer and Scopus, supported by thematic synthesis, to identify key themes and trends. Findings This study establishes a response–recovery framework for crisis management. It identifies essential leadership roles and competencies required during various phases of crises, including crisis identification, planning, containment, recovery and redesigning management. It highlights the dynamic evolution of leadership roles and the significance of effective communication, organisational resilience and distributed leadership. Practical implications The proposed response–recovery framework provides actionable insights for practitioners to navigate crises effectively. It emphasises the importance of adaptable leadership styles, proactive crisis planning and fostering resilience, offering organisations a roadmap for handling future crises. Originality/value This study offers a unique integration of leadership and crisis management literature, presenting a novel framework aligned with the changing demands of crises. Its focus on leadership evolution across crisis stages provides valuable theoretical and practical contributions for scholars and practitioners.

Ten pressure points in primary care during COVID-19: findings from an international narrative review

BackgroundStrong primary care (PC) services are the foundation of high-performing health care systems and can support effective responses to public health emergencies. Primary care practitioners (PCPs) and PC services played crucial roles in supporting global health system responses to the COVID-19 pandemic. However, these contributions have come at a cost, impacting on PC services and affecting patient care. This secondary analysis of data from an integrative systematic review across international PC settings aimed to identify and describe burdens and challenges experienced by PCPs and PC services in the context of their contributions to COVID-19 pandemic responses.MethodsWe conducted an integrative systematic review and narrative analysis, searching PubMed/Medline, Scopus, Proquest Central and Cochrane Database of Systematic Reviews, plus reference lists of key publications. Included studies were published in peer-reviewed English or Chinese language journals, and described collective responses to COVID-19 undertaken in PC settings or by PCPs. Narrative data regarding impacts on PC services and challenges experienced by PCPs were extracted and analysed using inductive coding and thematic analysis.ResultsFrom 1745 screened papers 108, representing 90 countries, were included. Seventy-eight contained data on negative impacts, challenges or issues encountered in PC. Ten ‘pressure points’ affecting PC during COVID-19 were identified, clustered in four themes: demand to adopt new ways of working; pressure to respond to fluctuating community needs; strain on PC resources and systems; and ambiguity in interactions with the broader health and social care system.ConclusionsPCPs and PC services made critical functional contributions to health system responsiveness during the COVID-19 pandemic. However, both practitioners and PC settings were individually and collectively impacted during this period as a result of changing demands in the PC environment and the operational burden of additional requirements imposed on the sector, offering lessons for future pandemics. This study articulates ten empirically derived ‘pressure points’ that provide an initial understanding of burdens and demands imposed on the international primary care sector during the COVID-19 pandemic. The impact of these contributions should inform future pandemic planning, guided by involvement of PCPs in public health preparedness and policy design.

Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques

Surface water depletion in Odisha tract poses significant challenges for sustainable water management. An important part of the effort to satisfy the growing demand for water is surface water quality control. For that purpose, this study’s primary goal is to assess the surface water quality for drinking and irrigation at nine different locations, via the use of the innovative techniques. In this regard, Drinking Water Quality Index (DWQI), Partial Least Square Regression (PLSR) and Spatial reflectance (SR) Indices (I), were considered to determine water suitability for different people’s activities. The samples were collected in the study area during the pre-monsoon season of period 2023–2024. The parameters analyzed: pH, DO, Alkalinity, Conductivity, Nitrate, Phosphate and Hardness. The results were subsequently contrasted with the water quality requirements, as instructed by World Health Organizations (WHO). The major anionic trend is expressed in the subsequent order: NO3− > PO43−. Finally, the analytical results were collected in order to produce the parameters’ numerical geographic distribution using the geographical information system (GIS) environment. According to the results of pH, the obtained average value is recorded as 8.0. This implies that the water is slight alkaline in nature. The results of the DWQI showed that 44.44% shared investigated locations, were classified as excellent to good, and 11% as poor, 22.22% as very poor and, 22.22% is indicated as unsuitable for drinking purpose classes. In addition, the new SRIs that were taken out of the VIS and NIR regions demonstrated a substantial correlation with DWQI, according to the results. The new SRIs and DWQI had R2 correlations with values ranging from 0.65 to 0.82. The results from DWQI and SRI depicts that Nitrate and Phosphate concentration were higher and exceeds the WHO standards. At five sites, which confers as poor water quality, these parameters were recorded very high. Additionally, the main factors causing variations in water quality were fertilizer, organic waste, and soil leaching. Based on the values of R2, the PLSR model generated an evaluation of DWQI that was more accurate. Furthermore, the PLSR model generated accurate predictions for DWQI, with an R2 of 0.82 and 0.85, in the validation and calibration dataset. Hence, PLSR is efficient and provides us with a clear image for evaluating surface water’s fitness for drinking and its regulating elements. This study provides a quantitative framework for assessing surface water suitable potential zones in the chosen region. By identifying the hidden variables influencing water quality, the three approaches work together to maintain their advantages while also offering crucial information for water management. The results allow for the monitoring of restoration measures to be prioritized, the identification of the anthropogenic impact on the five locations (S-(1), (2), (3), (4), and (5)) and the type of anthropogenic pressure associated with each location, as well as the optimization of monitoring programs to reflect significant anthropogenic pressures. The resulting maps and data offer valuable insights for policy makers and water resource managers to develop targeted surface water management strategies. These findings have significant implications for sustainable water resource management in the region, particularly in addressing challenges related to drinking and agricultural water demand and climate change adaptation. A more thorough assessment of the surface water quality would result from the addition of more water quality indicators, such as hydrological, biological, and particular pollutants, to the straightforward and trustworthy assessment scheme that has been suggested.

Study on the Efficiency and Complexity of Chinese Energy Market Based on Multiple Events

Energy supports national economic development, and its financial attributes are continuously being enhanced. Analyzing the efficiency and risk of the energy market is of significant importance in energy security and sustainable development. This paper employs the multifractal detrended fluctuation analysis (MFDFA) method to study the efficiency, complexity, and risk of the energy exchange-traded fund (ETF) market in China. Additionally, the market characteristics are investigated under different events. The empirical results indicate that the Chinese energy ETF market is anti-persistence and has not yet reached weak efficiency. The market exhibits multifractal characteristics, with variations in multifractal structures across different stages, reflecting varying degrees of complexity. Particularly, the market displays more complex multifractal characteristics when price fluctuations are caused by supply and demand changes. Furthermore, external policies or information and supply–demand relationships have a certain impact on market prices. Based on the current state of China’s energy ETF market, some suggestions are proposed to provide valuable references for the development of the energy market.

Understanding changing demand for police during the coronavirus pandemic

Understanding changing demand for police during the coronavirus pandemic

Resilient Extension for Resilient Client: Understanding the Response of Florida Cooperative Extension to the Marketing Challenges of Producers During the Covid-19 Lockdown

Cooperative Extension plays a vital role in supporting rural communities during crises and in building community resilience. Studies report that during the COVID-19 lockdown, producers in the USA reported concern about the demand for their fresh produce and needed information on marketing, digital marketing, community engagement, and collective marketing and distribution of products. Extension continued to support its clients and their changing demands during this dynamic time. However, the role of Extension in responding to its clients’ evolving needs regarding marketing produce during the COVID-19 lockdown has not been explored. Using a capabilities-based organizational resilience model, this study aimed to understand the anticipation, coping, and adaptation capabilities of Florida Cooperative Extension (FCE) during the COVID-19 lockdown, particularly focusing on response to marketing challenges of producers. A narrative research approach was used, and data were collected through Zoom interviews with Extension agents (n = 9), and Extension leaders (n = 6). The six-step thematic data analysis process resulted in four major themes. Participants described FCE as unprepared to deal with the challenges of lockdown. FCE’s response to the challenges of producers was reactive, and it primarily helped producers market their products by connecting producers with consumers through online platforms and setting up farm stands. After the lockdown, Extension agents made some changes in their Extension programs, however, no higher-level changes were found. Our findings suggest strengthening adaptation capabilities by including reflective activities to take lessons from this event, which could also be incorporated into future crisis planning to enhance resilience.

Active Learning Strategies: A Mini Review of Evidence-Based Approaches

Active learning strategies such as think-pair-share (TPS), problem-based learning (PBL), flipped classrooms, and collaborative projects are essential for promoting student engagement, critical thinking, and academic success. This review brings together evidence from multiple disciplines to examine the effectiveness of these strategies and their impact on educational outcomes. PBL is particularly popular in fields such as engineering and medicine, where it enhances problem-solving, self-directed learning, and teamwork by exposing students to real-world, interdisciplinary challenges. Flipped classrooms, where content delivery occurs outside of the classroom, can enable more interactive, discussion-based learning in class, which can improve student performance and satisfaction, despite challenges associated with preparation and varying learning rates. Collaborative projects are often used in economics and social sciences to foster important skills such as teamwork, leadership, and communication through group interaction. The effectiveness of these strategies is further enhanced by structured instructional models such as the analysis, design, development, implementation, and evaluation (ADDIE) framework, ensuring alignment with educational goals. In addition, the incorporation of artificial intelligence into active learning is transforming educational practice by providing personalized learning experiences and immediate feedback, although it also raises ethical concerns about the balance between technology and human interaction. In summary, active learning strategies, if carefully implemented, can provide students with important skills for academic and career success while meeting the changing demands of modern education.

Designing the Liner Shipping Network of Tomorrow Powered by Alternative Fuels

The liner shipping industry is undergoing an extensive decarbonization process to reduce its 275 million tons of CO2 emissions as of 2018. In this process, the long-term solution is the introduction of new alternative maritime fuels. The introduction of alternative fuels presents a great set of unknowns. Among these are the strategic concerns regarding sourcing of alternative fuels and, operationally, how the new fuels might affect the network of shipping routes. We propose a problem formulation that integrates fuel supply/demand into the liner shipping network design problem. Here, we present a model to determine the production sites and distribution of new alternative fuels—we consider methanol and ammonia. For the network design problem, we apply an adaptive large neighborhood search combined with a delayed column generation process. In addition, we wish to test the effect of designing a robust network under uncertain demand conditions because of the problem’s strategic nature and importance. Therefore, our proposed solution method will have a deterministic and stochastic setup when we apply it to the second-largest multihub instance, WorldSmall, known from LINER-LIB. In the deterministic setting, our proposed solution method finds a new best solution to three instances from LINER-LIB. For the main considered WorldSmall instance, we even noticed a new best solution in all our tested fuel settings. In addition, we note a profit drop of 7.2% between a bunker-powered and pure alternative fuel–powered network. The selected alternative fuel production sites favor a proximity to European ports and have a heavy reliance on wind turbines. The stochastic results clearly showed that the found networks were much more resilient to the demand changes. Neglecting the perspective of uncertain demand leads to highly fluctuating profits. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2023.0143 .

Optimization of Material Flow and Product Allocation in Inter-Unit Operations: A Case Study of a Refrigerator Manufacturing Facility

Background: Logistics operations are integral to manufacturing systems, particularly in the transportation processes that occur not only between facilities and stakeholders but also between warehouses and workstations within a facility. The design of functional areas and allocating goods to appropriate zones within the warehouse management system (WMS) are critical activities that substantially influence the efficiency of manufacturing logistics operations. Methods: This study develops a mixed-integer programming (MIP) model to optimize material flow and product routing in manufacturing. The model identifies efficient pathways, assigns products to routes, and determines the required material-handling equipment. It is implemented in Python (3.11.5) using the Pyomo (6.7.3) package and the CBC solver (2.10.11), with sensitivity analysis performed on constraints and decision variables to evaluate robustness. Results: The findings indicate that Material Flow 3 and Material-Handling Equipment 1 represent the optimal configurations for managing the majority of goods within the manufacturing system. Conclusions: The proposed mathematical model supports the decision-making process by enabling adjustments to the proportions of functional areas within the manufacturing logistics system, ensuring operational efficiency and flexibility in response to changing demands. Furthermore, the study offers managerial insights and suggests directions for future research.

To Study the Dynamics of Demand and Consumption Patterns of Wellness Tea in Different Provinces of China

In the present social context where health awareness is on the rise Chinese consumers appetite for healthy beverages is experiencing a rapid upward trend. Wellness tea beverages, which integrate traditional wellness concepts with modern beverage culture, are increasingly popular among consumers due to their potential health advantages.. This report offers an in-depth analysis of the dynamic changes in demand and consumption patterns of wellness tea across different provinces in China. By comprehensively dissecting the sales volume, price, and consumption behaviors of branded wellness tea in various cities and stores on the Taobao platform, it aims to disclose market trends and construct a regression forecast model for sales volume. The results indicate that the price factor (both pre-coupon and post-coupon prices) is the most decisive element influencing sales volume. Geographical regional disparities also exert a certain impact on sales volume, while macroeconomic indicators such as per capita GDP have a relatively minor impact. These discoveries not only provide decision support for market participants in the wellness tea industry, but also provide valuable reference information for policymakers, thereby facilitating the healthy progression of the industry and further tapping into the market potential.

Qingdao Regional Economic Development of High Quality of Port and Shipping Logistics Talent Science and Education Integration Training Mode

Starting from the adaptive context of the port and shipping logistics professional training of higher vocational education to the port and shipping industry, we study experts at home and abroad.The relevant results, combined with the empirical research of the subject, proved the laws and characteristics of the development of the port and shipping logistics industry under the new quality productivity, corresponding to the higher vocational port and shipping logistics.The new requirements of talent training supply, further investigate the Marine development of shipping trade and the corresponding demand changes of talent training supply, analysis Ming new quality productivity enables the connotation mechanism of digital education of higher vocational education, analyzes its internal constraint factors, and concludes it through practical empirical research. The training model of high-quality economic development of port and aviation logistics talents promotes the quality of Qingdao port and aviation talent trainingRising, to provide a reference for the government's decision-making.

Kinematic Alterations with Changes in Putting Distance and Slope Incline in Recreational Golfers.

Golfers must modify their motor patterns when the demands of a putting task change. The objective was to compare joint angles and putter kinematics during putting at two distances and inclines. Recreational golfers (n = 14) completed putts over four conditions: 3-foot putts on flat and incline surfaces, and 7-foot putts on flat and incline surfaces. A Vicon motion capture system measured kinematic data. Joint angles, putter angles, and spatiotemporal variables were calculated. Analysis of variance compared spatiotemporal variables, and statistical parametric mapping compared angles between putts. There were faster putter head and ball velocities during longer and incline putts. The amplitude and time of backswing increased with longer putts. Longer putts resulted in increased trunk axial rotation during backswing, downswing, and follow-through, while incline putts only resulted in greater rotation during follow-through. There were minimal differences in shoulder angle. There was greater head rotation toward the hole during all putting phases for longer putts and during follow-through for incline putts. The trunk is the primary mechanism to increase putter head amplitude, and thereby velocity, when putting from longer distances. A similar strategy could be used when putting uphill. Additional work should confirm these results in highly skilled golfers.

The Future Hospital in Global Health Systems: The Future Hospital Within the Healthcare System.

Future hospitals must be able to adapt in many ways to the changing demands on their roles and functions within evolving healthcare delivery infrastructures. These include changing population structures and needs, new models of healthcare provision, technological advances, and innovations in design, all while enhancing their environmental sustainability. This article sets out the issues that those determining healthcare policy and designing future hospitals must consider if they are to become and remain fit for purpose within the wider health and social care system. It also examines the need for, and challenges to, strategic healthcare planning, creating future hospitals that are sustainable, net-zero carbon organisations, and ensuring resilience in the face of a range of potential shocks. Future hospitals play a crucial role in healthcare worldwide, regardless of the country's income level. Hospitals cannot be viewed without broader health system changes, infrastructure, community and cultural factors, staffing and other considerations. We anticipate that future hospitals will enhance population health in all settings and support the move towards more consumer-centric healthcare. We urge clinical and policy planners to consider the factors discussed carefully to maximise the benefits.

Handling changes on and changes of the market: market–political ambidexterity in the Swedish market for solar energy

PurposeFirms regularly have to handle business-related market changes on the market, such as new market entrants, increased competition, changing prices and changing demand. However, firms active on a market subject to political interventions, resulting in changes of the market, also have to handle different support systems with subsidies, taxes, regulations, etc. As these interventions affect both firms and customers, it is important for firms to adapt to them, but if they continue to change, firms also need to adapt to changing conditions. The purpose of the paper is to study how firms handle continuous market changes and shifting governmental interventions through market–political ambidexterity.Design/methodology/approachBased on a qualitative approach, 13 in-depth interviews focusing on how firms handle market changes and political interventions over time were conducted during two time periods. The data was coded in several steps, using systematic combining.FindingsThe empirical results reveal that firm size is crucial in developing market–political ambidexterity; small firms lack the resources needed to handle all changes in an ambidextrous way. Changes on the market require firms to be active, whereas changes of the market, e.g. interventions, require internal stability in the firms. Changes on the market are easier to handle, wherefore there seems to be a need for firms to develop political exploration and exploitation activities related to market–political ambidexterity.Originality/valueThis study contributes to industrial marketing by increasing our understanding of how SMEs handle the simultaneous but sometimes contradicting demands from market changes and political interventions by developing market–political ambidexterity.

European tourism demand in the face of climate change: Asymmetric impacts, demand reallocation, and deseasonalisation strategies

Abstract The European tourism industry, a significant contributor to employment and income, is under threat due to climate change. This study, using data from 1315 European regions and considering a tourism-specific climate index and tourism typologies, examines the potential impact of climate change on tourism demand across the continent under four warming scenarios. We find that climate change impacts in Europe will be highly asymmetrical across regions and seasons, resulting in significant reallocations of tourism demand in space and time across all warming scenarios. A clear north-south pattern in tourism demand changes emerges, with northern regions benefiting and southern regions experiencing significant reductions, particularly under higher warming. Summer demand and coastal areas, where tourism demand is more concentrated, will be particularly affected. We also quantify the deseasonalising efforts necessary to maintain the status quo in the annual demand for tourism, involving relative reductions in summer demand and increases in shoulder and winter seasons.

Potential Use of Silk Waste in Sustainable Thermoplastic Composite Material Applications: A Review

Global warming and climate change demand rapid and swift action in terms of reducing resource consumption, gas emissions, and waste generation. The textile industry is responsible for a large share of global pollution; therefore, to define a route to tackle part of the issue, a literature review on the current state of research in the field of recycling silk waste was conducted. The methods used to recover, process, and characterize silk waste fibers were summarized. The aim of this work was to investigate the possible applications of recycled silk waste in the field of composite materials for load bearing applications. In this sense, some prominent studies in the field of silk-based composites were reported, favoring thermoplastic materials for sustainability reasons. Studies on nonwoven silk waste fabrics were covered as well, finding an abundance of results but no applications as a reinforcement for composite materials. In a circular economy approach, we believe that the combination of nonwoven silk waste fabrics, thermoplastic polymers, and possibly hybridization with other fibers from sustainable sources could be beneficial and could lead to green and high-performance products. The aim of this work was to summarize the information available so far and help define a route in that direction.

Perancangan Aplikasi Inventory Barang Berbasis Web Pada UMKM XYZ

In today's digital era, technology has become a primary need in various activities and jobs. The use of the right application can produce the information needed effectively and efficiently, in this ever-evolving era, MSMEs must be able to adapt quickly to technological changes and changing consumer needs. In facing this challenge, efficient stock management is essential for the survival of MSMEs. Well-managed stock is not just a collection of goods stored in a warehouse, but a strategic element in the MSME supply chain. With the existence of a Web-based application, it is hoped that MSMEs in stock management can be better able to avoid excess and lack of stock. MSMEs are also able to respond quickly to changes in demand and internal needs. The design of this application will be made with the PHP, HTML programming languages, and using mySql as its database. The method used in making this application uses the prototyping method. The results of this study are in the form of a web system design that can help MSME owners in managing the Warehouse. The Prototype method is an approach to software development that focuses on creating fast and gradual designs, allowing immediate evaluation of the advantages and disadvantages of prototypes made by prospective users or clients. Developers and clients can engage in continuous interaction during the prototyping process.