Management Process Research Articles

Analisis Cara Penanganan Penurunan Kualitas Batubara di Stock ROM Ulak Pandan Sampai Jetty SDJ di PT Bumi Merapi Energy

Coal quality analysis is increasingly important considering the increasing global energy demand. Coal, as the main source of energy, has varying qualities, affecting combustion efficiency and environmental impact. Two commonly used analysis methods are proximate analysis and ultimate analysis, which provide information about the composition of coal. Previous research has shown that chemical analysis affects energy efficiency and environmental impact. This study aims to analyze the quality of coal using both methods and evaluate its characteristics for industrial applications. The benefits of this research include guidance for coal producers and users, as well as contributions to reducing the environmental impact and sustainability of the energy sector. This study uses a descriptive approach with qualitative and quantitative methods, focusing on Seam E coal at PT Bukit Asam Tbk. Primary data includes coal handling, temperature, and quality, while secondary data includes location maps and rainfall data as a reference. This study resulted in the conclusion that 1) Factors that affect the decline in coal quality at mining sites and stockpiles include the mining process, working front conditions, loading, processing in the stockpile, sampling, and handling in the ROM to Jetty SDJ. 2) Efforts made include contamination avoidance, fine coal handling, stacking management, and blending process.

ANÁLISE ESPACIAL E TEMPORAL DE EVENTOS DE SECAS NA REGIÃO HIDROGRÁFICA ALTO RIO PARANÁ DE 1990 A 2020

The Paraná River Hydrographic Region is of great socioeconomic relevance for Brazil. Therefore, due to the history of droughts in the region, the aims of the current study were to assess rainfall spatial and temporal variability, as well as to analyze drought features based on using the Normalized Percentage Index (NPI) to contribute to water management processes in Upper Paraná River (UPR). The study area encompasses 14 Planning and Management Units, distributed in Goiás, Mato Grosso do Sul, Minas Gerais and São Paulo states. Climate data were obtained from the National Hydrometeorological Network database. A geostatistical analysis of rainfall was carried out, based on the annual series of 408 stations, and subsequently the calculation of NPI for classifying the droughts severity. All periods analyzed (1990-2020) showed spatial dependence (moderate to high), allowing the elaboration of droughts maps. The dry and rainy periods and areas did not indicate direct influence of El Niño-Southern Oscillation (ENSO). Mato Grosso do Sul and São Paulo units were the main contributors to the identified droughts. The data showed that 2010-2020 was the driest decade of the period, with a greater contribution from the 2019/2020 period, where droughts exceeded 60% of the area for two consecutive years, an event never identified in the last 3 decades. The NPI curves referring to “initial drought” and “mild” allowed verifying years of water crisis when their summed percentages reached at least 50% of the region. The methodology used is versatile, allowing its use in any watershed. Keywords: Rains. Water management. NPI. Kriging.

ERIMS assessment Tool Enhances Emergency Response in WHO Europe Region

Abstract Issue/problem The implementation of an Emergency Response Information Management System (ERIMS) assessment tool improves health emergency responses within the World Health Organization - European Region. The tool’s deployment aims to refine data management processes and bolster preparedness strategies. Managing health information systems (HIS) effectively during emergencies is a persistent challenge, as technologies keep innovating and potential challenges are constant. The ERIMS assessment tool addresses this by offering a structured approach, ensuring improved emergency responses and system resilience. Description of the problem Adopting a systems approach, the ERIMS tool was designed to be flexible, allowing adaptation to various HIS architectures and emergency coordination mechanisms. Its design and development process included consultations with digital health and emergency management experts and field testing across three WHO member states. Results Field applications of the ERIMS assessment tool demonstrated its capacity to evaluate, including, digital capability and knowledge management with focus on emergency scenarios. The tool identified systemic gaps, offered strategic guidance on enhancing data processes, and fortified decision-making protocols. These outcomes not only highlighted the tool’s utility in assessing HIS readiness but also its impact in improving emergency response mechanisms. Lessons The deployment of the ERIMS assessment tool enhanced HIS by providing an evaluation of emergency preparedness and response capabilities with a focus at the national perspective level. The tool’s application showcased its role in advancing public health emergency preparedness, illustrating how assessments can lead to substantial improvements in health information management and emergency response readiness. Key messages • ERIMS assessment implementation improves emergency data management. • Better preparedness relies on boosting digital capabilities and knowledge management.

Call for Action for a Disaster Literacy Course for Disaster Risk Management Process.

There is a need to utilise formal education to ensure and support the effective participation of communities in the disaster risk management process. The negative outcomes of disasters occurring as a result of various disasters in Turkiye show that the society is inadequately prepared. Therefore, the best fight against disasters can be carried out within the scope of formal education activities. In this study, the content and infrastructure of a curriculum for the management of disaster risks at the university level is presented at the conceptual level. Disaster literacy curriculum can contribute to the management of current and future disaster risks. However, there is a need to expand the implementation and measurement of the effectiveness and feasibility of the curriculum as a public health intervention tool. Finally, the support of the national education system needs to be ensured.

4.B. Round table: Closing the loop in the European Health Data Space: relation between primary and secondary data use

Abstract Currently, data collection processes in healthcare institutions across Europe remain exclusively geared towards the needs of primary use. Neither medical professionals’ clinical workflows, nor the data infrastructures and data management processes established within different organisations allow for the kind of highly standardised and structured data collection, processing and segregation from operational systems that secondary use requires. The development of a European Health Data Space offers large possibilities for research and innovation. High quality or primary data and secure pathways are required for the secondary use of data. Closing the loop and making relevant information from secondary use of data available to clinicians and health care professionals is a crucial step to build trust and enable a cultural shift that will enable health innovations and targeted treatments reach all those who could benefit from them without delay. Closing the loop between primary and secondary use of data will accelerate the shift from treatment of illness to prediction and prevention in the way healthcare is delivered - a shift that will need to be accompanied by an overhaul of European health systems’ current funding and reimbursement models. Establishing trustworthy sources of information and guidance for the use of novel health technologies, as well as involving patients and their caregivers early in the development of concrete applications, could help to foster better understanding and build trust in this area. To ensure acceptance, it will be particularly important for these developments to be driven by identified problems and defined needs in healthcare. Efforts should be made to address and include all parts of the population, not just the highly engaged and usually highly educated patients who typically participate in collaborative initiatives. The workshop will provide a holistic understanding of the interconnectedness between primary data and secondary use of health data. High quality of data and secure pathways are required for the secondary use of data. The workshop will explore paths for the evaluation of data-driven innovation and its introduction into clinical pathways that need to be further developed and standardised across the EU and the role that different actors in the health data system must play to meet the needs for secure and high-quality of data for research and policy development. The importance of actors like healthcare professionals, patients and citizens as well as the role of industry, public-private partnerships and relevance of health data innovative solutions will be addressed by each of the panellists and collaboration pathways for closing the loop will be further explored. The discussion will use and build on the findings and solutions identified in the EIT Health Think Tank report ‘Implementing the EHDS across Europe’. Key messages • In order to move to a data sharing environment, a cultural shift is needed to foster an environment of equality and openness to share data. • Healthcare professionals, patients and citizens are active participants and public-private partnerships could be instrumental to foster novel solutions and trust in this cultural transformation. Speakers/Panelists Nienke Schutte Sciensano, Brussels, Belgium Milana Trucl European Patient Forum, Etterbeek, Belgium Sinead O’Connor Trinity College Dublin, Dublin, Ireland Aneta Tyszkiewicz EFPIA, Brussels, Belgium Elina Drakvik Sitra, Helsinki, Finland

Optimizing data transmission in 6G software defined networks using deep reinforcement learning for next generation of virtual environments

Data transmission of Virtual Reality (VR) plays an important role in delivering a powerful VR experience. This increasing demand on both high bandwidth and low latency. 6G emerging technologies like Software Defined Network (SDN) and resource slicing are acting as promising technologies for addressing the transmission requirements of VR users. Efficient resource management becomes dominant to ensure a satisfactory user experience. The integration of Deep Reinforcement Learning (DRL) allows for dynamic network resource balancing, minimizing communication latency and maximizing data transmission rates wirelessly. Employing slicing techniques further aids in managing distributed resources across the network for different services as enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low Latency Communications (URLLC). The proposed VR-based SDN system model for 6G cellular networks facilitates centralized administration of resources, enhancing communication between VR users. This innovative solution seeks to contribute to the effective and streamlined resource management essential for VR video transmission in 6G cellular networks. The utilization of Deep Reinforcement Learning (DRL) approaches, is presented as an alternative solution, showcasing significant performance and feature distinctions through comparative results. Our results show that implementing strategies based on DRL leads to a considerable improvement in the resource management process as well as in the achievable data rate and a reduction in the necessary latency in dynamic and large scale networks.

Massive Data HBase Storage Method for Electronic Archive Management

ABSTRACTThe acceleration of the digitalization process in enterprise and university education management has generated a massive amount of electronic archive data. In order to improve the intelligence, storage quality, and efficiency of electronic records management and achieve efficient storage and fast retrieval of data storage models, this study proposes a massive data storage model based on HBase and its retrieval optimization scheme design. In addition, HDFS is introduced to construct a two‐level storage structure and optimize values to improve the scalability and load balancing of HBase, and the retrieval efficiency of the HBase storage model is improved through SL‐TCR and BF filters. The results indicated that HDFS could automatically recover data after node, network partition, and NameNode failures. The write time of HBase was 56 s, which was 132 and 246 s less than Cassandra and CockroachDB. The query latency was reduced by 23% and 32%, and the query time was reduced by 9988.51 ms, demonstrating high reliability and efficiency. The delay of BF‐SL‐TCL was 1379.28 s after 1000 searches, which was 224.78 and 212.74 s less than SL‐TCL and Blockchain Retrieval Acceleration and reduced the delay under high search times. In summary, this storage model has obvious advantages in storing massive amounts of electronic archive data and has high security and retrieval efficiency, which provides important reference for the design of storage models for future electronic archive management. The storage model designed by the research institute has obvious advantages in storing massive electronic archive data, solving the problem of lack of scalability in electronic archive management when facing massive data, and has high security and retrieval efficiency. It has important reference for the design of storage models for future electronic archive management.

Criteria in Building Material Selection and The Role of Sustainability

Buildings have become the focal point of sustainability because they consume large amounts of natural resources, especially materials and energy, and produce waste throughout their life cycle. Efforts to make buildings sustainable begin with the sustainability of the materials that govern most of the construction management process. In this study, an attempt was made to determine the importance levels of the criteria to be considered in the sustainability of building materials. For this purpose, a survey study was conducted to evaluate the importance of 25 criteria, grouped under the headings of environmental, social, and economic criteria, in terms of sustainability. The survey was conducted with the participation of 50 people from different professions and with different demographic characteristics, and whether participant opinions differed according to demographic characteristics was examined through inferential analyses. The inferential analyses revealed that the views differed for the work experience and only on economic criteria, and that there was no differentiation according to gender, age, education level and profession. For this reason, it was decided that the results could be generalized, and the relative importance values of the criteria were determined. While water conservation ranks first among all criteria, including environmental, accessibility among social criteria and long-term savings among economic criteria have been determined to be the most important criteria. The results revealed which criteria should be taken into consideration in the sustainability of building materials in order to make the construction industry more sustainable. In this respect, it is evaluated that the study will be a guide for governments, local governments, building material manufacturers, designers, contractors and ultimately users.

ADVANCED PREDICTIVE MODELING FOR THE BIOFIRE FILMARRAY SYSTEM IN INFECTIOUS DISEASE DIAGNOSTICS

The Bio Fire Film Array System has emerged as a powerful tool in clinical diagnostics, offering rapid and multiplexed detection of infectious pathogens. This study presents the development of a comprehensive mathematical model aimed at predicting the accuracy and sensitivity of the BioFire FilmArray System under diverse conditions. Key factors such as sample type, pathogen load, specimen characteristics, and environmental variables were systematically analyzed to elucidate their impact on the system's performance. The model incorporates a range of parameters including sample volume, specimen complexity, microbial diversity, and system-specific variables to generate probabilistic estimates of diagnostic outcomes. By leveraging large datasets encompassing diverse clinical scenarios and pathogen profiles, the model achieves robustness and generalizability, thereby facilitating its applicability across different healthcare settings and populations. Validation of the model against independent datasets demonstrates its efficacy in accurately predicting the performance of the BioFire FilmArray System across a spectrum of conditions. Overall, this mathematical model represents a significant advancement in optimizing the utility of the BioFire FilmArray System for infectious disease diagnosis. Its integration into clinical practice holds promise for improving patient care, guiding sample processing protocols, and informing decision-making processes in infectious disease management.

Biological Invasion Data Gaps in China: Examples of Distribution, Inventories, and Impact

The impact of invasive alien species (IAS) on nature and society is increasing globally. It is crucial to utilize information systems for evidence-based management, enabling the assessment and supporting survey and control actions. However, the lack of accessible and comprehensive baseline IAS data often impedes the ability to prioritize and allocate resources efficiently. Despite the increased public awareness of biological invasions in China over the past decades, the critical importance of data requirements has not been fully recognized, leading to gaps in available data. Here, we outline the key data demands for the management of biological invasions and highlight the current lack of high-quality data for invasion management in China, and critically assess data gaps in IAS distribution, inventory, and impact. Additionally, we propose a conceptual framework to illustrate the data requirements throughout the invasion management process, along with indicators to assess data quality within three dimensions: relevance, resolution, and reliability.

ANALYSIS OF PERIODIC SELF-ASSESSMENTS WITHIN THE SCOPE OF HEALTH QUALITY STANDARDS IN TERMS OF MATERIAL MANAGEMENT AS A PREVENTIVE ACTIVITY: A RETROSPECTIVE STUDY IN A UNIVERSITY HOSPITAL

This study aims to investigate the effects of periodic self-assessments on materials management within the framework of quality management in healthcare. The retrospective study, conducted in a university hospital, evaluates the effectiveness of quality improvement initiatives and compliance with health standards, while examining in detail the effects of these processes on materials management. It also investigates how self-assessment processes improve healthcare service delivery and contribute to materials management processes. Problems identified through Fishbone and Pareto analysis are examined, prioritised and solutions are developed. The findings obtained aim to improve material management processes and increase quality standards in health. The main purpose of the research is to examine the effects of periodic self-assessments on materials management in order to improve the quality of healthcare services. The findings emphasise the importance of maintaining quality standards in health services and systematic handling of periodic self-assessments. Problems identified by Fishbone and Pareto analysis are analysed by root cause analysis and solutions are developed. This approach aims to contribute to the development of materials management processes and to the improvement of quality standards in healthcare. The results of the research are an important guide for practitioners, managers and policy makers in the fields of quality management and materials management in health services.

Manajemen Blended Learning Pasca Pandemi Covid-19: Studi Kasus Sekolah di Indonesia

This study aims to find out the main factors that contribute to blended learning management in Indonesia. The research is focused on identifying the management process which includes, planning, organizing, implementing, and evaluating the blended learning management program at SMAN 2 Jember, SMKN 1 Wanayasa Banjarnegara and SMP 1 Prambanan Yogyakarta. This research is qualitative descriptive research with a naturalistic approach. The results show that the four functions of the management process have a very large influence on the results of the blended learning management program. First, the planning of the blended learning program involves all school stakeholders, as well as through the creation of a regular schedule. Second, in terms of organizing blended learning programs, the school goes through the curriculum work process so that teachers fill out a daily journal, to monitor activities. Third, the implementation of the blended learning program based on the learning process in the classroom by providing materials and explanations, as well as information transformation through room meeting to do practice questions at home. Fourth, learning evaluation is carried out through google classroom for attitude knowledge, and practicum for skill aspects, as well as private universities and UAS. Blended learning management policies involving all school stakeholders, filling out daily journals, learning in the classroom and delivering material through room meetings can optimize the learning process in the post-covid-19 pandemic period.

FEATURES OF STATE ADMINISTRATION IN THE CONDITIONS OF GLOBALIZATION

The article reveals the concept and content of globalization. It is emphasized that in modern conditions, the concept of «globalization» has entered scientific circulation along with the key categories of modern science and has become the subject of wide discussions. The article is devoted to the peculiarities of state administration under the conditions of globalization. It is indicated that the sphere of public administration is affected by several processes at once – adaptation, transformation and modernization. Adaptation is a forced process of adjustment, adaptation and arrangement of the state administration system of the national state to the qualitatively new processes of globalization. Transformation is a mechanism for reflecting the radical changes that the world and each national system of public administration are undergoing in the context of globalization. Modernization is one of the options for social development, which simultaneously improves and accumulates quantitative and qualitative changes in the state administration system in the context of globalization. These processes are the main basic factors of the transformation of the modern world, according to them the national state and its system of public administration are changing. It is emphasized that the factor of public administration is an indicator of the extent to which the modern national state is able to resist or adapt to the processes of globalization. The main problems of globalization in modern conditions and their impact on the sphere of public administration are revealed. It is emphasized that globalization puts forward new requirements, which should become effective and efficient means of solving complex contradictions that arise in the course of the joint functioning of national states in the world space. The influence of governmental and non-governmental organizations on management processes is shown. It is indicated that the main mechanism of activity of international non-governmental organizations in the period of globalization is the mobilization of the opinion of the world community. It has been proven that at the current stage, globalization leads to a kind of «updating» of the structure of the world, and as a result – corrects national systems of state administration. In addition, it changes the strategies of economic, political and cultural development, creating a complete interdependence of the world, which is the basis of its functioning. The growing rates of interdependence unify and standardize the conditions and factors of the development of individual states, acting as peculiar indicators of determining the level of sustainability of the development of national states.

Modeling foot-and-mouth disease dissemination in Rio Grande do Sul, Brazil and evaluating the effectiveness of control measures

IntroductionFoot-and-mouth disease (FMD) affects multiple food-animal species and spreads rapidly among ungulate populations, posing significant challenges for disease control. Understanding the dynamics of FMD transmission and evaluating the effectiveness of control measures are critical for mitigating its impact. This study introduces a multiscale compartmental stochastic model to simulate FMD spread and assess countermeasures.MethodsWe developed a model that integrates population dynamics, including births, deaths, and species-specific transmission dynamics, at both the between-farm and within-farm levels. Four scenarios were created to evaluate different control strategies: the base scenario included vaccinating 20 farms and depopulating four infected farms, while alternative scenarios increased vaccination and depopulation capacities or omitted vaccination altogether.ResultsOur simulations showed that bovines were the most frequently infected species, followed by swine and small ruminants. After 10 days of initial spread, the number of infected farms ranged from 1 to 123, with 90.12% of simulations resulting in fewer than 50 infected farms. Most secondary spread occurred within a 25 km radius. An early response to control actions significantly reduced the time spent managing outbreaks, and increasing daily depopulation and vaccination capacities further enhanced control efforts.DiscussionEmergency vaccination effectively reduced the magnitude and duration of outbreaks, while increasing depopulation without vaccination also eliminated outbreaks. These findings highlight the importance of rapid response and capacity scaling in controlling FMD outbreaks, providing valuable insights for future decision-making processes in disease management.

Research on Collaborative Strategy of Supply Chain Management under the Background of NIKE Mass Customization

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.

Meta-analysis of ecological and phylogenetic biomass maturity metrics

Although a wide variety of biomass sources have been subjected to 16S rRNA gene sequencing, ecological and phylogenetic signatures of maturity have not been identified quantitatively. In this meta-analysis we reanalyzed data from the only published study with publicly available 16S and temperature data (Zhou et al., 2018), and then applied the Zhou results to 705 samples from 13 additional studies. Using the Zhou data, we found that Faith’s alpha diversity index correlated inversely with compost temperature and positively with maturity. We also noted a dramatic shift in the ratios of Bacilliota to Acidobacteriota, Planctomycetota, and Pseudomonadota, as samples cooled below 44 °C (p < 0.001). A negative correlation between Bacillota and Pseudomonadota was also observed in all 705 samples that included compost, sugarcane mill mud, anerobic digestates, and vermicompost. Even in the absence of temperature data for the majority of samples, our meta-analysis shows that microbiomes of diverse residuals converged on similar communities that resemble those of soil, regardless of the starting material or residual management process. We propose that approximately < 0.4 log(Bacillota:Pseudomonadota) and > 43 Faith’s phylogenetic diversity indices are indicative of maturity of diverse biomass materials destined for land application.

ANALISIS RESIKO BAHAYA LIMBAH B3 MENGGUNAKAN METODE HIRARC PADA INSTALASI PEMBUANGAN AIR LIMBAH

Balai PIALAM, namely the Technical Implementation Unit (UPT) of the PUP-ESDM Office of the DIY Regional Government, is a centralized wastewater treatment plant. The problems that exist in Balai PIALAM are temporary storage of B3 waste does not meet the criteria, leaking storage, excessive capacity, methods that can be used to overcome B3 waste are using the HIRARC method, based on 9 activities of the B3 waste management process. Impact of hazard risk with research results Risk level: Medium 4 hazard effect 6.33%, High2 hazard effect 2.11%, extreme1 hazard effect 1.6%. The stages of making HIRARC are: decomposing the work into steps from the beginning to the end of the process, identifying the source of danger, determining the hazard posed by means of interviews, observations, observations, brainstorming, determining the impact on environmental workers, assessing the likelihood of occurrence is used to determine risk rating. Testing period January 2024, t BOD Input (min 99 mg/L,max 458 mg/L), Output (min 10 mg/L,max 59 mg/L), Average (input 206 mg/L, output 30 mg/L), testing period February 2024, testing t BOD Input (min 84 mg/L, max 288 mg/L), Output (min 12 mg/L, max 43 mg/L), Average (input 154 mg/L, output 24 mg/L). Use of APD such as laboratory coats, masks, special gloves, safety shoes, protective helmets and life vests, face shields. As well as implementing SOP. Control of hazards or risks both in laboratory and operational testing activities using APD: gloves, laboratory coats, safety shoes, protective glasses, masks, life vests, and special vests according to the work done and affirmation of SOP.

ORGANIZATION OF COUNTERMEASURES AGAINST THE NEGATIVE IMPACT OF RISKS IN LOGISTICS TRANSPORT SYSTEMS

The article is devoted to the issue of effective management decision-making in the organization of counteracting the negative consequences of the impact of risks in logistics transport systems. The purpose of the article is to identify risks in the logistics transport system and provide adaptive information on risk management strategies and recommendations. Modernization of the management mechanism based on risk management tools is relevant to ensure the efficiency and reliability of the logistics transport system at all its levels. The study established the fundamental characteristics of the risk management process and developed a set of management measures to reduce transport risks for logistics transport systems. This set of measures significantly affects the reduction of the negative impact of risks on each of the components of the transport and logistics system at different levels of management and is the basis for the integration of management methods, models and tools into a single mechanism, which is a systematic approach to risk management of the logistics transport system. The results of this study create a comprehensive basis for risk management of the logistics transport system. The results of this study indicate that the proposed systematic approach to risk management of the logistics transport system can be defined as an integrated management of business processes related to the promotion of products and the corresponding flows from their source to the final consumer. The effectiveness of this approach has been demonstrated in achieving optimal efficiency of transport enterprises. In the light of the above considerations, the implementation of this systemic approach serves to create an appropriate organizational basis for the implementation of countermeasures against the negative consequences of the impact of risks in logistics transport systems. In essence, it is a risk management tool.

Problems of Good Governance in Managing Indonesia’s Borderland: The Case of Entikong Subdistrict

The present study explores the good governance processes of border management in Entikong Subdistrict. The Entikong Subdistrict in West Kalimantan is a priority district that receives special attention from Indonesian central and local governments. The Entikong border post started operating in 1989, making it the first land border in Indonesia. Nevertheless, despite its aged history and many development efforts within the area, the economic growth and welfare of the border community remained stagnant. The data for this article were collected through a field work in Entikong for four months in 2022 in which we conducted observation, interviews, and focus group discussion with local residents and government officers. This study reveals that good governance became the focal issue explaining Entikong’s lack of development by providing two problems in the border development at Entikong: 1) the government’s inconsistency on the road widening project and 2) the complexity of governance and bureaucracy. This paper further elaborates on the essence of locality in good governance practices while simultaneously addressing the authority division problems and communication towards the demands of the local community. This study argues that better public communication patterns should be implemented to avoid misunderstandings within the community and increase the participation of local citizens, government, and civil society in the development process of the border area.

OS IMPACTOS DA NOVA LEI DE LICITAÇÕES EM PEQUENOS MUNICÍPIOS

Considering the importance of the New Public Procurement Law (Law 14.133/2021) for modernizing public contracting and the challenges faced by small municipalities, this study addresses its impacts on these locations, focusing on efficiency, transparency, and legal security. The main objective was to analyze how the new legal requirements affect administrative management and procurement processes in small Brazilian municipalities. To this end, the research examined the changes introduced by the new law, implementation challenges, and adaptation strategies. A qualitative study was conducted using semi-structured interviews in Cujubim, Rondônia, with six participants directly involved in the municipality's procurement processes. The results indicate that, although the new legislation has promoted improvements in transparency and efficiency, adaptation has been hindered by a lack of technical training and adequate infrastructure. It is concluded that there is a need for governmental support and continuous training to overcome these obstacles and promote a more inclusive and efficient procurement environment.