Internet Of Things Implementation Research Articles

Proposal of innovative smart solutions for retail store in order to support competitiveness and sustainable development

The Internet of Things (IoT) is becoming an increasingly important concept in various areas of our daily lives. With the development of information and communication technologies, the possibilities of IoT implementation are also expanding. The retail sector is also starting to make more significant use of IoT to improve and increase the efficiency of its business processes and more effective interaction with customers. Even though several partial IoT solutions have been implemented in retail, according to publicly available sources, there is no comprehensive IoT implementation in this sector. Therefore, we focused on the possibilities of creating a comprehensive proposal for the use of IoT in a retail enterprise in Slovakia. The main reasons for this transformation are the development of intelligent technologies, the increased demand of consumers for more convenient purchases and the efficiency of business processes, as well as to increase the competitiveness of the company. The aim of the contribution is to create a proposal for the implementation of IoT in retail, which will contribute to the sustainable development and competitiveness of the company. The result of the contribution is the creation of a proposal for the integration of the Internet of Things in retail, while the proposal is also applicable in other similar enterprises. The research methodology includes secondary sources and primary inquiry using an online questionnaire. The results of the primary research showed that a large part of respondents are interested in using IoT solutions in retail and that the implementation of these solutions affects their purchasing behavior. The conclusions of the paper indicate that the implementation of IoT solutions in retail would have a positive impact on the competitiveness of businesses. Factors that influence the choice of brick-and-mortar and online stores by customers were also identified. Customers’ interest in IoT solutions, as well as their preferences when choosing stores, represent a guideline for businesses operating in the retail sector. The implementation of the proposed solutions is relatively demanding on financial resources, therefore a good financial condition of the company is a necessary condition. Further research should focus on the security risks, barriers, ethical privacy issues associated with the use of IoT in retail stores.

Challenges to the Implementation of IoT for Smart Buildings and Infrastructure Development: A Partial Least Square Modeling Approach

Implementing Internet of things (IoT) technology in the context of intelligent buildings and infrastructure development has garnered significant attention within the construction sector. Nonetheless, the implementation of IoT could be improved by assessing various barriers. The purpose of this study was to examine the obstacles related to the adaptation of IoT techniques within the construction sector, as well as the effects on the advancement of intelligent building and infrastructure systems. The study employed a mixed-method approach involving exploratory factor analysis (EFA) and structural equation modeling (SEM) to determine six types of barriers: knowledge, technical, standardization, creativity, complexity, and economics. The study revealed that the implementation of IoT for developing smart construction and infrastructure in the construction sector was significantly influenced by all six constructs. The results of this study offer significant ramifications for the field. The study underscores the necessity for heightened consciousness and instruction regarding the advantages of implementing IoT. The study posits that the technical barriers, including interoperability, modernization of legacy infrastructure, and coordination and collaboration difficulties, require attention from the industry. The study highlights the significance of establishing industry-wide standards and protocols for implementing IoT and regulatory and legal frameworks. Finally, the study underscores the necessity for augmented funding and financing options for IoT endeavors. Subsequent study endeavors may expand upon the present findings by delving into the barriers encountered by alternative sectors and nations and assessing the efficacy of the suggested measures in this investigation.

Environmental Monitoring in Internet of Things (IOT)

Abstract: The Internet of Things (IoT) connects physical objects to the internet, enabling autonomous data collection and analysis. In environmental monitoring, IoT plays a crucial role in gathering real-time data on parameters like air and water quality, weather, wildlife behavior, and urban heat islands. This abstract explores how IoT is used in environmental monitoring, covering standards, device types, and applications. IoT comprises interconnected devices that collect environmental data and transmit it for analysis, facilitating continuous observation and better resource management. Standards like MQTT and communication technologies like Wi-Fi govern IoT implementation. Environmental monitoring involves assessing air and water quality, weather conditions, wildlife behavior, and urban heat islands. Air quality monitoring measures pollutant levels in the atmosphere using IoT-based sensor networks. Water quality monitoring assesses chemical and biological characteristics of water bodies. Weather and climate monitoring observe atmospheric conditions using IoT-based sensor networks. Wildlife monitoring tracks animal movements and behavior using IoT-enabled devices. Urban heat island monitoring assesses temperature distribution in urban areas using IoT-based sensors. IoT revolutionizes environmental monitoring by enabling real-time, remote observation across various domains, contributing to better resource management and sustainability efforts.

Research on sustainable green building space design model integrating IoT technology.

"How can the integration of Internet of Things (IoT) technology enhance the sustainability and efficiency of green building (G.B.) design?" is the central research question that this study attempts to answer. This investigation is important because it examines how green building and IoT technology can work together. It also provides important information about how to use contemporary technologies for environmental sustainability in the building sector. The paper examines a range of IoT applications in green buildings, focusing on this intersection. These applications include energy monitoring, occupant engagement, smart building automation, predictive maintenance, renewable energy integration, and data analytics for energy efficiency enhancements. The objective is to create a thorough and sustainable model for designing green building spaces that successfully incorporates IoT, offering industry professionals cutting-edge solutions and practical advice. The study uses a mixed-methods approach, integrating quantitative data analysis with qualitative case studies and literature reviews. It evaluates how IoT can improve energy management, indoor environmental quality, and resource optimization in diverse geographic contexts. The findings show that there has been a noticeable improvement in waste reduction, energy and water efficiency, and the upkeep of high-quality indoor environments after IoT integration. This study fills a major gap in the literature by offering a comprehensive model for IoT integration in green building design, which indicates its impact. This model positions IoT as a critical element in advancing sustainable urban development and offers a ground-breaking framework for the practical application of IoT in sustainable building practices. It also emphasizes the need for customized IoT solutions in green buildings. The paper identifies future research directions, including the investigation of advanced IoT applications in renewable energy and the evaluation of IoT's impact on occupant behavior and well-being, along with addressing cybersecurity concerns. It acknowledges the challenges associated with IoT implementation, such as the initial costs and specialized skills needed.

Sustainable prototype with IoT implementation for remote monitoring of Apis mellifera apiaries in maya regions of Campeche, Mexico

Currently, beekeeping activities are being abandoned in the Camino Real region, which encompasses the communities of Tenabo, Hecelchakán, Dzitbalché and Calkiní, where the Tren Maya railroad lines cross, impacting indigenous beekeepers by modifying the land usage of the territory in section 2, presenting great deficiencies in these practices that are fundamental for the economy of families. This article proposes the design of an Internet of Things (IoT) based monitoring station prototype, which will measure the following variables: humidity, indoor temperature, outdoor temperature, average population and whether the box is open or closed; the information will be acquired by sensors and sent to an ESP32 microcontroller. Three essential components are required for its operation: Installation of a LAN Network, development of the IoT prototype and the Mobile Application. The purpose of the study is to design and deploy the prototype in Apis Mellifera Apiaries using a quasi-experimental and descriptive methodology, destined to improve the production of apiaries in the northern region of the state of Campeche, providing beekeepers with timely information of the hives for effective decision making.

From silent spaces to smart spaces: Leveraging IoT-based innovative services to enhance library system performance using SEM approach

The Internet of Things (IoT) has emerged as a disruptive technology with enormous potential to alter various fields, including libraries. However, research on IoT uptake in libraries still needs to be more extensive, especially in Pakistan. This research aims to fill that vacuum by exploring the variables driving IoT uptake in Pakistani libraries and assessing its effect on library services. A quantitative approach was used, with data collected from Pakistani libraries using a survey technique. The poll specifically addressed librarians and administrators to understand their views on the IoT adoption advantages they see. We designed a theoretical framework combining the Technology-Organization-Environment (TOE) paradigm and adding two variables: digital transformation and innovativeness. A total of 341 responses were gathered, providing insightful data on the IoT adoption trends in Pakistan. The research examines the connections between numerous variables impacting IoT uptake in libraries using advanced statistical approaches like SmartPLS-based partial least squares structural equation modeling. The findings reveal several vital factors influencing the adoption of IoT in Pakistani libraries. The study emphasizes the significance of solid management practices and the effective use of technology resources in facilitating the successful implementation of the Internet of Things and ensuring enhanced library services. This research contributes to the existing body of knowledge by providing a comprehensive perspective on IoT adoption in Pakistan. It addresses a considerable knowledge deficit regarding the implementation of IoT in libraries, concentrating specifically on the Pakistani view. The findings of this study are beneficial for library professionals, researchers, and policymakers, as they enable them to make informed decisions and drive successful IoT adoption initiatives in Pakistani libraries.

Unraveling the Dynamics of User Acceptance on the Internet of Things: A Systematic Literature Review on the Theories and Elements of Acceptance and Adoption

The Internet of Things (IoT) connects various devices to the internet, enabling seamless communication and coordination. Its sensor and action capabilities aid in early fire detection and response. This article investigates the theory and elements of Internet of Things (IoT) acceptance and acceptance to see how IoT can assist in monitoring and controlling fire safety management. This study uses a systematic literature review (SLR) methodology to search, identify, appraise, synthesize, analyze, and summarize studies on the Internet of Things (IoT). The study highlights the importance of theoretical frameworks like TPB, TAM, UTAUT, and TOE in understanding the Internet of Things (IoT) acceptance and adoption. TPB focuses on attitudes, subjective standards, and perceived behavioral control, TAM emphasizes ease of use, UTAUT focuses on performance expectancy, effort expectancy, social influence, and facilitating conditions, and TOE examines organizational, technological, and environmental aspects affecting commercial IoT adoption. These frameworks provide actionable insights for successful IoT implementation and integration in individual and organizational settings.

Leveraging IoT in Auto Component Manufacturing to Monitor Surface Roughness and Tool Temperature

Surface finish is an important requirement in Auto Component Manufacturing that defines the quality of work piece obtained from turning operations. Thus to reduce downtime due to rejection of work piece for its surface finish a continuous monitoring of surface roughness based on its cutting parameter and vibration signal is required. Similarly it is also important to monitor the cutting tool temperature to have a longer tool life. With the emerging trend of Internet-of-Things (IoT) it has become very easy to collect the required data, storing it, analysing it and also alerting the required personnel through the mobile application, e-mail and SMS. The stored data and analysis could reveals in depth the process, which leaves a large scope for improvement of the system. The paper discusses the implementation of IoT to collect data of vibration signal and cutting tool temperature of dry turning operation, for cutting parameter like 1) spindle speed 2) feed rate and 3) depth of cut for three different material mild steel (MS), brass and aluminium (Al). A correlation was obtained to predict surface roughness and tool temperature. The system developed could give a real time monitoring of surface roughness on a smart phone that can be used as a tool for optimizing the turning process to give improved quality and increased production volume.

IOT and AI Implementations on Remote Healthcare Monitoring System

Abstract: "IoT and AI Implementations on Remote Healthcare Monitoring System using Raspberry Pi 3" seeks to revolutionize healthcare by integrating cutting-edge technologies into a cohesive system for remote patient monitoring. Leveraging the power of Raspberry Pi 3, Internet of Things (IoT) devices will be employed to collect real-time health data from patients in diverse locations. This data will then undergo sophisticated analysis through Artificial Intelligence (AI) algorithms, enhancing the system's ability to identify anomalies, trends, and potential health risks with a high degree of accuracy. The Raspberry Pi 3 serves as a versatile and cost-effective hub, managing the connectivity and processing requirements of the IoT devices. The system aims to provide continuous and proactive healthcare support by enabling remote monitoring of vital signs and timely interventions based on AI- driven insights. The outcomes of this project not only contribute to the advancement of healthcare technology but also address the growing need for scalable and accessible healthcare solutions in a rapidly evolving digital landscape.

Leveraging IoT in Auto Component Manufacturing to Monitor Surface Roughness and Tool Temperature

Surface finish is an important requirement in Auto Component Manufacturing that defines the quality of work piece obtained from turning operations. Thus to reduce downtime due to rejection of work piece for its surface finish a continuous monitoring of surface roughness based on its cutting parameter and vibration signal is required. Similarly it is also important to monitor the cutting tool temperature to have a longer tool life. With the emerging trend of Internet-of-Things (IoT) it has become very easy to collect the required data, storing it, analysing it and also alerting the required personnel through the mobile application, e-mail and SMS. The stored data and analysis could reveals in depth the process, which leaves a large scope for improvement of the system. The paper discusses the implementation of IoT to collect data of vibration signal and cutting tool temperature of dry turning operation, for cutting parameter like 1) spindle speed 2) feed rate and 3) depth of cut for three different material mild steel (MS), brass and aluminium (Al). A correlation was obtained to predict surface roughness and tool temperature. The system developed could give a real time monitoring of surface roughness on a smart phone that can be used as a tool for optimizing the turning process to give improved quality and increased production volume.

Enhancing emergency medical response through IoT: A focus on security and privacy

The healthcare industry is globally crucial. With an increasing demand for quality services, there is a need for innovative technologies like the Internet of Things (IoT) to enhance rapid and effective emergency response. This research explores IoT applications in emergency healthcare response, focusing on theoretical frameworks and design principles. It investigates the integration of IoT technologies into these systems while prioritising data security and privacy without relying on experimental data. The study offers innovative ideas for future research, highlighting the significance of addressing privacy and ethics in healthcare IoT usage. It emphasises protecting sensitive health data and promoting responsible IoT implementation in emergency healthcare settings. In conclusion, the study affirms the potential of IoT in enhancing emergency healthcare responses while emphasising the necessity of addressing privacy and ethical concerns within healthcare applications of these technologies. This research seeks to contribute to the ongoing development of IoT in healthcare by emphasising the importance of safeguarding patient information and ensuring that ethical considerations are at the forefront of implementation efforts.

ADVANCING FOOD SAFETY THROUGH IOT: REAL-TIME MONITORING AND CONTROL SYSTEMS

This paper proposes the development of an Internet of Things (IoT)-based real-time monitoring and control system for food safety management. By leveraging IoT sensors and devices throughout the food production and distribution process, this system aims to continuously monitor food safety parameters, providing immediate data to prevent contamination and ensure compliance with safety standards. In response to the critical need for enhanced food safety measures, this concept paper proposes the implementation of IoT (Internet of Things) technology to advance food safety through real-time monitoring and control systems. The global food industry faces significant challenges in ensuring food safety throughout the supply chain, including inefficiencies, delays in response to potential hazards, and increased risks of contamination. Traditional methods of monitoring and controlling food safety often lack real-time capabilities and are prone to human error. The proposed solution focuses on introducing an IoT-based system for real-time monitoring of critical food safety parameters such as temperature, humidity, and the presence of pathogens. This system will leverage a combination of sensor technologies, data analytics, and communication protocols to continuously monitor environmental conditions and potential hazards throughout the food supply chain. Key components of the proposed system include IoT sensors and devices, a centralized monitoring platform, data transmission infrastructure, and integration with existing food safety management systems. Advanced data analytics techniques, including machine learning algorithms, will be employed to analyze collected data, identify patterns, trends, and anomalies, and develop predictive models to anticipate potential hazards. The implementation strategy outlined in this concept paper includes comprehensive assessment and planning, deployment of IoT sensors, establishment of data collection and transmission infrastructure, data analysis and insights, integration with existing systems, and training and capacity building. By following this strategy, stakeholders can proactively manage food safety risks and ensure the integrity and safety of the food supply chain. Advancing food safety through IoT-based real-time monitoring and control systems holds great promise in revolutionizing the way food safety is managed, safeguarding public health, enhancing consumer trust, and ensuring a safer and more reliable food supply for consumers worldwide.
 Keywords: Food Safety, Real Time, Monitoring, IoT.

ADVANCING FOOD SAFETY THROUGH IOT: REAL-TIME MONITORING AND CONTROL SYSTEMS

 This paper proposes the development of an Internet of Things (IoT)-based real-time monitoring and control system for food safety management. By leveraging IoT sensors and devices throughout the food production and distribution process, this system aims to continuously monitor food safety parameters, providing immediate data to prevent contamination and ensure compliance with safety standards. In response to the critical need for enhanced food safety measures, this concept paper proposes the implementation of IoT (Internet of Things) technology to advance food safety through real-time monitoring and control systems. The global food industry faces significant challenges in ensuring food safety throughout the supply chain, including inefficiencies, delays in response to potential hazards, and increased risks of contamination. Traditional methods of monitoring and controlling food safety often lack real-time capabilities and are prone to human error. The proposed solution focuses on introducing an IoT-based system for real-time monitoring of critical food safety parameters such as temperature, humidity, and the presence of pathogens. This system will leverage a combination of sensor technologies, data analytics, and communication protocols to continuously monitor environmental conditions and potential hazards throughout the food supply chain. Key components of the proposed system include IoT sensors and devices, a centralized monitoring platform, data transmission infrastructure, and integration with existing food safety management systems. Advanced data analytics techniques, including machine learning algorithms, will be employed to analyze collected data, identify patterns, trends, and anomalies, and develop predictive models to anticipate potential hazards. The implementation strategy outlined in this concept paper includes comprehensive assessment and planning, deployment of IoT sensors, establishment of data collection and transmission infrastructure, data analysis and insights, integration with existing systems, and training and capacity building. By following this strategy, stakeholders can proactively manage food safety risks and ensure the integrity and safety of the food supply chain. Advancing food safety through IoT-based real-time monitoring and control systems holds great promise in revolutionizing the way food safety is managed, safeguarding public health, enhancing consumer trust, and ensuring a safer and more reliable food supply for consumers worldwide.
 Keywords:  Food Safety, Monitoring, Real Time, Authority, Nigeria.

INTEGRATING IOT IN PEDIATRIC HEALTHCARE: A SYSTEMATIC REVIEW OF CURRENT APPLICATIONS AND FUTURE DIRECTIONS FOR PANCREATIC DISEASES AND OBESITY Tolulope O. Olorunsogo1

 In recent years, the integration of Internet of Things (IoT) technologies into healthcare systems has shown immense promise in revolutionizing patient care, particularly in pediatric populations. This systematic review aims to explore the current landscape of IoT applications in pediatric healthcare, specifically focusing on pancreatic diseases and obesity, two significant health challenges affecting children worldwide. The review comprehensively analyzes existing literature, including peer-reviewed articles, conference papers, and relevant reports. By employing systematic search strategies across various databases, studies were identified, screened, and synthesized to elucidate the diverse applications of IoT in managing pancreatic diseases and obesity among pediatric patients. The findings reveal a multitude of IoT applications tailored to pediatric healthcare, ranging from wearable devices for continuous glucose monitoring in diabetic children to smart scales and activity trackers for managing pediatric obesity. These technologies offer real-time monitoring, data analytics, and personalized interventions, enhancing disease management, improving patient outcomes, and promoting patient engagement and adherence to treatment regimens. Furthermore, this review identifies critical challenges and limitations associated with current IoT implementations in pediatric healthcare, such as data privacy concerns, interoperability issues, and the need for robust regulatory frameworks. Addressing these challenges is crucial to maximizing the potential benefits of IoT in pediatric healthcare and ensuring its safe and effective integration into clinical practice. The review outlines promising future directions for IoT in managing pancreatic diseases and obesity in pediatric populations. These include integrating advanced sensors and artificial intelligence algorithms for predictive analytics, developing user-friendly and child-centric IoT solutions, and establishing collaborative networks for data sharing and knowledge exchange. This systematic review underscores the transformative impact of IoT technologies in pediatric healthcare, particularly in managing pancreatic diseases and obesity. By highlighting current applications and future directions, this study provides valuable insights for clinicians, researchers, and policymakers to harness the full potential of IoT in improving pediatric health outcomes.
 Keywords:  IoT, Healthcare, Pancreatic, Disease, Obesity, Pediatric, Review.

Optimising performances of LoRa based IoT enabled wireless sensor network for smart agriculture

The significance of maintaining food security is particularly emphasized in regions such as Malaysia, where there is a substantial reliance on imports of fruits and vegetables. The local farming industry requires advancements in technology to address the complexities of food production. This motivates the exploration of implementing Internet of Things (IoT) solutions to reduce reliance on manpower and enhance farming efficiency. However, the current integrated IoT solutions for smart farms can be expensive and complicated, rendering them redundant for small-area farms that do not require advanced technologies or machine learning. This study aims to optimize IoT LoRa parameter settings, focusing on providing affordable solutions tailored for fruit and vegetable farms. The main goal is to address the common issue faced by farmers—investing in expensive IoT-enabled wireless sensors without realizing a return on investment. To overcome this challenge, a simple and cost-effective IoT solution is proposed, utilising sensors and readily available applications to achieve efficient farming practises. The main objective is to develop an integrated IoT solution tailored for fruit and vegetable farms, facilitating improved productivity and growth. The solution incorporates sensors to monitor and control various aspects of crop cultivation, collecting essential data. The research development here also aims to inspire low-cost IoT solutions suitable for small-scale food plantation farms by using the long-range physical communication technique (LoRa) protocol. Leveraging IoT technologies in a simplified manner allows local farming industries to boost productivity, lower operational costs, and effectively address food security concerns.In addition to the IoT technology development for smart farms, the research here also investigates the various factors affecting the performance of LoRa-enabled IoT solutions for smart farms, including LoRa frequency, distance, environment, and the performance of the IoT system under different weather conditions, showed a significant effect on system performance (p ≤ 0.05). This comprehensive approach aims to contribute valuable insights for the development and implementation of cost-effective IoT solutions tailored for small-scale agricultural practices. In conclusion, this project demonstrates the efficency of LoRa-based IoT in agriculture and highlights areas for improvement. Future directions involve improving scalability, streamlining the user interface, and adding sophisticated features to support the development of productive, networked, and environmentally friendly farming methods.

Transforming Education with the Internet of Things: A Journey into Smarter Learning Environments

This review explores the integration and effects of the Internet of Things (IoT) in education, highlighting its importance in transforming traditional teaching and learning techniques. It examines the early uses and historical growth of IoT, its development, and the turning points in its adoption. It explores IoT platforms, tools, and technologies in education, including wearables, smart devices, augmented and virtual reality, gamification, and collaborative learning. It discusses the role of IoT in improving campus management, including intelligent campuses with IoT-enabled infrastructure, energy-saving technologies, and safety and security improvements. The study discusses data security and privacy issues in IoT installations and the ethical and legal implications of data collection in the classroom. The study also discusses upcoming trends and prospects for IoT usage in education, including AI and machine learning integration. Finally, the review provides insights for educators, decision-makers, and stakeholders, identifying research gaps and recommending areas for future IoT implementation.

EXPLORING THE PRACTICAL APPLICATIONS OF IoT TECHNOLOGIES

The Internet of Things (IoT) has emerged as a transformative technology with far-reaching implications across various domains. This scientific article delves into the practical applications of IoT technologies, examining their impact on diverse sectors such as healthcare, agriculture, transportation, smart cities, and industrial automation. By leveraging interconnected devices, sensors, and data analytics, IoT solutions enable enhanced monitoring, automation, and decision-making processes, leading to improved efficiency, productivity, and quality of life. The article provides insights into real-world examples of IoT implementations, highlighting their benefits, challenges, and future prospects.

Implementation of Green IoT to Achieve Sustainable Environment for Improving Energy Efficiency

The Internet of Things (IoT) has emerged as a powerful tool in the pursuit of achieving a sustainable environment. This abstract highlights the key facets of IoT implementation to foster sustainability. IoT's ability to seamlessly connect devices, collect real-time data, and enable intelligent decision-making has revolutionized various sectors, including energy management, waste reduction, and conservation of natural resources. One of the pivotal applications of IoT in sustainability is in energy management. Smart grids, powered by IoT, optimize energy distribution, reduce wastage, and integrate renewable energy sources effectively. IoT-driven sensors and controls in buildings further enhance energy efficiency through automated lighting, heating, and cooling systems, resulting in reduced carbon emissions. IoT's impact extends to waste management by enabling smart bins that monitor and optimize waste collection routes. This minimizes fuel consumption, reduces traffic congestion, and mitigates the environmental footprint of waste disposal. Moreover, IoT-driven sensors in agricultural practices facilitate precision farming, optimizing resource utilization and minimizing environmental impact. Natural resource conservation is another realm where IoT plays a pivotal role. Smart sensors and remote monitoring devices enable real-time tracking of water quality, air pollution levels, and forest health. This data empowers policymakers and environmentalists to make informed decisions, mitigating the consequences of environmental degradation. To achieve a sustainable green environment through IoT, it's essential to consider data privacy, security, and interoperability between devices and systems.

Interactive Learning in Afghanistan: Feasibility of Implementing IoT Connected Devices in Classrooms

In the dynamic landscape of Afghanistan’s education, this study explores into the transformative integration of the Internet of Things (IoT). With the purpose of scrutinizing perceptions, challenges, and preparedness, a meticulous mixed-methods approach was employed, collecting data from 120 participants across diverse educational backgrounds. The deliberate inclusion of participants from Computer Science, Agriculture, Education, and Economics faculties, representing institutions such as Kabul, Karwan, Badakhshan, Samangan, and Faryab University, ensured a comprehensive exploration. Through structured questionnaires utilizing Likert-scale items, the methodology sought to gauge participants’ perceptions of technological infrastructure, institutional support, and challenges linked to IoT integration. Notably, ANOVA and regression analyses were applied to discern influential factors shaping participants’ views. The study’s novelty lies in its meticulous uncovering of nuanced perceptions, specifically emphasizing the pivotal role of technical expertise perception in the readiness for IoT integration within educational faculties. The consensus on IoT’s potential to reshape teacher-student interactions and elevate academic outcomes is a novel contribution, highlighting the transformative impact on pedagogical practices. Additionally, the research anticipates and scrutinizes technological and infrastructural challenges, identifying resource constraints, and proposing targeted strategies for efficacious IoT implementation. In conclusion, this research enriches the discourse on IoT in education by accentuating the significance of institutional support, addressing challenges, and proposing practical guidelines. It not only contributes actionable insights for Afghanistan policymakers and educators but also lays a foundation for future research to optimize strategies in specific challenges, ultimately fostering successful IoT integration in Afghanistan’s educational landscape.

Implementasi Sistem IoT Pada Akuakultur Dan Hydroponik (Akuaponik) Modern Untuk Pertumbuhan Ikan Nila

In modern times, there are many types of agricultural and fish farming systems, one of which is the modern aquaculture system which has been recognized as an innovative method of sustainable food production that combines fish cultivation with agriculture simultaneously. Modern aquaponics is able to overcome problems in urban areas which require land for growing crops and cultivating fish. Good fish cultivation means always monitoring the growth and health of fish to reduce the risk of crop failure, therefore this research aims to implement an Internet of Things (IoT) system in modern aquaponics to increase the growth of tilapia. IoT parameters consisting of pH sensors, Total Dissolved Solids (TDS) sensors, and temperature sensors are used to monitor water quality conditions in modern aquaponics. Through IoT systems, data collected in real-time enables more effective environmental monitoring. The creation of an IoT system in modern aquaponics shows that the implementation of IoT can increase the efficiency of modern aquaponic environmental management, resulting in better fish growth and plant productivity. This was verified through the pH sensor test results with a value of 7.2 indicating optimal conditions of acid-base balance in the water, which is essential for the health of tilapia fish. The TDS sensor test with a value of 300 ppm confirmed that the concentration of solid particles in the water was at an optimal level, which is also an indicator of the health of the tilapia fish. Temperature measurement using a temperature sensor with a value of 28°C, shows that the water temperature is within the ideal range for comfort for tilapia, which is usually comfortable at temperatures between 28-30°C