Internet Of Things Implementation Research Articles

A Review of Academic and Patent Progress on Internet of Things (IoT) Technologies for Enhanced Environmental Solutions

Environmental pollution is a pressing global issue, and the Internet of Things (IoT) offers transformative potential for its management through its application in advanced real-time monitoring and analytics. However, the heterogeneous and fragmented nature of IoT technologies poses challenges to seamless integration, limiting the efficacy of these solutions in addressing environmental impacts. This paper addresses these challenges by reviewing recent developments in IoT technologies, encompassing sensor networks, computing frameworks, and application layers for enhanced pollution management. A comprehensive analysis of 74,604 academic publications and 35,000 patent documents spanning from 2008 to 2024 is conducted using a textual analysis that combines quantitative bibliometric methods along with a qualitative analysis based on both scholarly research and patent innovations. This approach allows us to identify key challenges in IoT implementation for environmental monitoring—including integration, interoperability, and scalability issues—and to highlight corresponding architectural solutions. Our findings reveal emerging technology trends that aim to overcome a few of these challenges, and we present a scalable IoT architecture as key discussions that enhances system interoperability and efficiency for pollution monitoring. This framework provides targeted solutions for specific tasks in pollution monitoring while guiding decision-makers to adopt solutions effectively.

Literature Review of IoT on High School Students’ Reading Interests

This study aims to evaluate the effect of implementing Internet of Things (IoT) technology in library services on students’ reading interest at SMA Ilir Timur 1 Palembang. IoT provides ease in accessing information through features such as automatic borrowing, preference-based recommendations, and real-time collection management. However, despite increasing accessibility, students’ reading interest is still relatively low, influenced by the dominance of digital entertainment. Literature review shows that IoT has great potential to improve library service efficiency and student engagement, but its impact on reading interest is not yet fully significant. Therefore, this study recommends the development of an IoT strategy that is more integrated with local needs and digital literacy training for students and teachers. With an inclusive and adaptive approach, the implementation of IoT is expected to support an increase in students’ reading interest evenly in the digital era.

The Implementation of Internet of Things (IOT) In Education to Improve The Quality of Learning

The rapid development of the Internet of Things (IoT) has transformed various industries, and education is no exception. The implementation of IoT in education presents significant opportunities to enhance the quality of learning by creating interactive, connected, and personalized educational environments. This paper explores the potential benefits and challenges associated with integrating IoT technologies into educational systems. By leveraging smart devices, sensors, and real-time data, IoT can improve learning experiences, increase student engagement, and optimize classroom management. IoT-enabled solutions, such as smart classrooms, remote learning tools, and personalized learning pathways, provide real-time feedback and insights, helping educators track student progress and tailor instruction to individual needs. Additionally, IoT enhances collaboration and communication among students, educators, and educational institutions. However, the successful integration of IoT requires overcoming challenges related to infrastructure, security, and privacy concerns. This paper discusses the current trends in IoT applications in education, examines case studies, and provides recommendations for effectively implementing IoT to improve educational outcomes. Ultimately, the adoption of IoT has the potential to revolutionize learning by making it more interactive, efficient, and student-centered.

Mapping the critical factors of IoT implementation in the food industry

The Internet of Things (IoT) is revolutionising the food industry by enhancing efficiency, safety, and sustainability, while food businesses have observed a slow adoption of IoT.

Internet of Things Implementation Project in Industry 4.0: Opportunities and Challenges

Objective: In Industry 4.0, Internet of Things (IoT) is considered a basic technology that can be used in several areas, from to real-time equipment monitoring and control to other services, but its implementation is surrounded by challenges. The objective of this study is to analyze the most relevant opportunities and challenges in the IoT implementation projects. Method: The methodology used was literature review and field research developed in two manufacturing plants. To classify the opportunities and challenges under study, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multicriteria decision-making method (MCDM), was used. Results and Discussion: The main opportunities identified were: IoT helps reduce production costs, and IoT technology reduces production waste, and the main challenges were: there is uncertainty about the return on investment in IoT, and the lack of professional qualifications hinders/prevents the implementation of IoT. Research Implications: A practical and theoretical implication of this research is to present concerns about the possibility of having cleaner production practices in parallel with cost reduction in IoT implementation projects. Originality/Value: The theoretical relevance of this study is to classify opportunities and challenges according to their degree of importance. The practical contribution is to help those responsible for IoT implementation projects, so that they can try to maximize opportunities and minimize challenges.

IoT in manufacturing: A bibliometric analysis of global research trends in computer science from 2013 to 2023

One of the main concerns in computer science today is integrating the Internet of Things (IoT) into manufacturing processes. This trend could influence a country’s strategy and policy development regarding technological infrastructure. However, despite extensive research on the implementation of IoT in manufacturing, no study has yet focused on the growing research interest in this topic. Based on 2487 papers indexed in the Scopus database between 2013 and 2023, this bibliometric review examines current trends and patterns in IoT research in manufacturing. The literature was selected and screened using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data visualization was created using VOSviewer. The results show a notable increase in research papers centered around IoT in manufacturing. The findings reveal patterns and trends in IoT research publications in the manufacturing sector, author collaboration networks, country collaboration networks, and both established and newly trending topics surrounding IoT in the manufacturing industry.

The Implementation of Internet of Things (IOT) for Aquaponic Cultivation

Aquaponic is a plant cultivation technique that is widely used by farmers and today’s communities due to its efficiency and ability to increase the agricultural productivity. The aquaponic cultivation in general still uses simple systems, such as manually feeding the fish by spreading the feed at predetermined times, monitoring water pH using a pH meter and monitoring water height or level through measurements, requiring farmers to spend time and special labor to care for and maintain plants and fish. Therefore, a solution is needed in the form of a system that can monitor and control plants and fish conditions automatically and continuously for 24 hours. The system should have the ability to control and monitor feeding activities, water pH, water and environmental temperature, water level and environmental humidity. The system in question is the internet of things (IoT) system that can be used as a tool for automatic control and monitoring through an application. The IoT system consists of several sensors that are connected to a microcontroller which can measure water pH, temperature, water level and environmental humidity. The data obtained by the sensor will be sent to a server via Wi-Fi protocol and stored in a database. The system is equipped with a web application that can be accessed through a computer device. The application provides a visual display of data: time, water pH, temperature, water level and environmental humidity, making it easier for farmers to monitor aquaponic conditions from a distance without having to come to the land. Through the implementation of IoT in aquaponic cultivation, farmers can increase efficiency and agricultural productivity by reducing the time, labor and costs required for control and monitoring.

Study on the implementation of the Internet of Things in the sustainable agricultural revolution from upstream to downstream

This study employs a review-based methodology to explore the utilization of Internet of Things (IoT) technology within the agricultural industrial revolution, encompassing processes from upstream to downstream. IoT technology plays a pivotal role in accelerating the adoption of regenerative agriculture principles by enabling the integration of sensors, communication devices, and digital platforms into a unified system. This system facilitates the monitoring and optimization of sustainable agricultural practices, covering stages from planting to the distribution of agricultural products. The bidirectional digital communication established between human-to-system and system-to-human interactions ensures seamless information exchange. The research introduces a conceptual framework for smart regenerative agriculture, comprising smart farming (upstream), smart harvesting and packing, and smart marketing (downstream). By leveraging IoT technology, this framework aims to create an agricultural system that is not only more efficient and environmentally sustainable but also capable of addressing the challenges of national food security. Furthermore, the study examines various case studies of IoT implementation in other countries, providing valuable insights and benchmarks for its potential application in Indonesia.

Development and Implementation of an ESP32 Microcontroller and Monitoring System for Smart Door Lock Using RFID Sensor for E-KTP ID and Fingerprint Based on the Internet of Things

This study aims to improve the effectiveness and efficiency of door security systems by integrating RFID technology, fingerprint recognition, and the Internet of Things (IoT). This system not only enables automatic locking but also provides real-time access control and monitoring through a web-based application. The technology supports high-level security through dual authentication methods, using E-ID cards and fingerprint sensors. Additionally, the implementation of IoT allows users to monitor and manage door access remotely, offering added flexibility and convenience. The system's trial shows high reliability in reading RFID and fingerprint data, with significant accuracy in various conditions. The results of this study contribute to the development of modern security solutions that can be applied in various environments, such as residential homes, offices, and public facilities, with the potential to reduce overall crime rates

IOT IN CONTAINER SHIPPING INDUSTRY: APPLICATIONS AND EXAMPLES OF SOLUTIONS

The study analyzes the participation of technologies related to the development of the Internet of Things (IoT) network concept in the intermodal container transportation system. Since the beginning of the XXI century, IoT-related technologies have been dynamically spreading in almost all areas of international business, and this has changed the understanding of cargo owners about the quality of transportation services, among other things. Since transparency in monitoring the location of high-value goods is extremely important for transport companies, cargo owners, and all other stakeholders, and the intermodal transportation system is extremely complex due to the number and diversity of communications, the need to use IoT is obvious. As analysts predict that the introduction of IoT technologies in containerization will become widespread in the coming years, a study to assess the level of research on the introduction of such technologies and implementation in the practical activities of transport enterprises is relevant. The aim of the proposed review is to determine the degree of IoT implementation in the container transportation industry, areas of research on the topic, and identify factors that may impede the predicted rapid development of IoT in containerization. The proposed study includes an analysis of scientific publications related to the use of the Internet of Things in the field of international container transportation, identifies the main priority areas of such publications, establishes the areas of current implementation of IoT technology and determines the prospects for its use. Since the solutions that can potentially be obtained with the help of IoT are quite heterogeneous, the literature analysis is organized by grouping such publications into the following areas: container monitoring and tracking, enhancing supply chain transparency and visibility, optimization of operational efficiency, security and risk management, environmental impact and sustainability, challenges and barriers. The paper provides examples of online platforms and applications currently offered by major container operators that are related to this technology.

Optimalisasi Promosi Produk Dan Layanan Menggunakan Teknologi Internet Of Things Pada Toko Figo Mart

In the modern retail world, competition is getting tougher, and leveraging technology is key to enhancing competitiveness. One technology with great potential to optimize product and service promotions is the Internet of Things (IoT). Figo Mart, as one of the players in the retail industry, needs to utilize IoT to offer a more interactive and efficient shopping experience for its customers. This study aims to explore how IoT can be used to optimize product and service promotions at Figo Mart. The research method used is a qualitative approach with a case study at Figo Mart. The results of the study show that the implementation of IoT can improve the effectiveness of promotions, increase customer loyalty, and provide accurate data for consumer behavior analysis. IoT technologies such as smart sensors and mobile-based devices can be used to inform promotions in real time, offer product recommendations, and optimize customer service.

Ranking of Criteria Affecting the Implementation Readiness of Internet of Things in industries Using TISM and Fuzzy TOPSIS Analysis

The Internet of Things (IoT) technology has emerged as a vital driver across various fields, engaging businesses, platforms, and industries. IoT involves a holistic ecosystem and a value chain that necessitates the evaluation of impactful dimensions for successful implementation. This research employs the TISM method to identify driver and dependent criteria regarding IoT implementation readiness and uses the fuzzy TOPSIS method to rank these criteria. In the initial step, 15 criteria were identified through a review of previous studies. The TISM results reveal five levels reflecting the driver power and dependence of the criteria. Based on these results, “Implementation Knowledge and Expertise (C2)”, “Technical and Infrastructural Readiness (C9)” and “Financial and Investment Readiness (C12)” were placed at level 5, marking them as the most driver criteria. Additionally, “Implementation Roadmap (C8)” was identified as the most dependent criterion at level one. According to the fuzzy TOPSIS results, “Senior Management Support (C6)”, “IoT Usage Culture (C1)”, “Business Model Development Capability (C15)”, “Financial and Investment Readiness (C12)” and “Technical and Infrastructural Readiness (C9)” ranked first to fifth, respectively. The combined results provide valuable insights for decision-makers and stakeholders involved in IoT implementation. By determining driver and dependent levels and ranking the criteria, industries can effectively prepare for the successful implementation of IoT.

Designing Smart Supply Chains Based on Digital AI Instruments and Mobile Technologies

Academic and industrial research on digital technology has been quite thorough. Nevertheless, scant information exists regarding the supply chain implementation of digital technology in industrial companies. To better understand supply chains, this article will look at why and how manufacturing companies are implementing digital technology. The goal of this paper’s literature analysis is to pinpoint current studies and perspectives on how these technologies could help digital supply chains (DSCs) operate better, faster, and more efficiently. The investigation looks at the technologies’ directions and challenges in improving the efficiency of digital help confinement, in addition to underlining their significance for supply chains and logistics. It investigates the managerial and practical issues in developing a new integrated paradigm for digital supply chains. Also, possible obstacles to DSCs and procurement will be examined, along with solutions. Consequently, this study pinpoints multiple opportunities for adding value when implementing Internet of Things (IoT) in the supply chain using mobile technology. Additionally, it suggests a method for creating business models for supply chain algorithms.

Literature Study: Internet of Things (IoT) as a Transformative Technology in Building a Smart City Concept

The Internet of Things (IoT) has become one of the most transformative technologies in building the smart city concept. With the potential to connect diverse devices through internet networks, IoT enables increased efficiency in sectors such as transportation, energy and health. This research aims to explore the role of IoT in smart city implementation, highlighting its challenges and opportunities. Based on a literature review and empirical analysis, this research finds that although IoT can improve the quality of life in smart cities, there are several major challenges that must be overcome, such as security, scalability and interoperability issues. This article provides deeper insight into how to optimize IoT deployment to achieve urban sustainability. The novelty in this research lies in the integrative approach that combines the analysis of technical and non-technical challenges in IoT implementation in smart cities. This research also proposes practical solutions to overcome these challenges, such as the development of public policies that encourage IoT interoperability and security.

IoT-Enabled Cross-Platform Applications for Real-Time Logistics Monitoring

Internet of Things (IoT)The integration of Internet of Things (IoT) technology and cross-platform mobile applications has revolutionized real-time logistics monitoring, enabling unprecedented visibility, efficiency, and proactive management of supply chain operations. This article explores the key components of IoT-enabled logistics monitoring, including IoT sensors, data integration, real-time tracking, automated notifications, predictive maintenance, and proactive supply chain management. The benefits of implementing these solutions are highlighted, such as reduced risks, optimized routes, improved operational efficiency, and enhanced customer satisfaction. The article also discusses the challenges associated with IoT implementation, including data integration, connectivity, security, and privacy, and provides strategies for overcoming these obstacles. Through real-world case studies, the tangible impact of IoT-enabled cross-platform applications in logistics is demonstrated, showcasing the potential for significant improvements in cost savings, asset utilization, and overall supply chain performance. As the IoT landscape continues to evolve, the adoption of these technologies will become increasingly critical for logistics providers looking to maintain a competitive edge in the market.

The Role of Internet of Things (IoT) on Human Resources in Industry 4.0

The rapid advancement of technology has had a significant impact on various sectors. Human resources are now required to develop technical and data-driven skills to support the adoption of technologies that connect devices for real-time data sharing, playing a crucial role in enhancing the efficiency and effectiveness of organizational operations. This research aims to analyze the role of the Internet of Things (IoT) on human resources in the Fourth Industrial Revolution (Industry 4.0). The research method employed is a literature review, gathering data from various academic sources such as journals, articles, books, and other relevant materials. The findings of this study indicate that the implementation of IoT can improve operational efficiency through real-time monitoring. Overall, IoT holds great potential for optimizing human resource management in the era of Industry 4.0; however, organizations must carefully manage the associated impacts.

Optimalisasi Pengelolaan Fasilitas Kampus Menggunakan IoT untuk Monitoring Ketersediaan Ruang dan Peralatan

The application of Internet of Things (IoT) technology in campus facility management can enhance operational efficiency and effectiveness by monitoring the availability of rooms and equipment in real-time. This study aims to explore the basic concepts and implementation of IoT in managing campus facilities through document analysis. The results show that IoT can assist in managing classrooms and equipment, allowing campus managers to optimize facility usage, reduce wastage, and improve service quality. IoT implementation also facilitates the maintenance and replacement of faulty equipment by utilizing data generated from sensors. However, the main challenges in IoT implementation are related to technological infrastructure and data security, which require special attention to ensure the system operates effectively and securely. Overall, this study concludes that IoT technology provides a solution to improve campus facility management efficiency and supports the creation of a more modern and responsive educational environment.

Perancangan Sistem Monitoring Barang Logistik Berbasis IoT

An Internet of Things (IoT)-based logistics monitoring system is an innovation designed to enhance efficiency, transparency, and speed in supply chain management. The implementation of IoT in logistics provides an ideal solution for real-time monitoring of goods, which was previously difficult with conventional methods. This system integrates IoT sensors such as GPS for location tracking, along with temperature and humidity sensors to monitor goods requiring special attention, such as food and pharmaceuticals. By automating processes through IoT technology, goods distribution becomes faster, reducing reliance on manual controls, speeding up decision-making, and minimising human error. This system enables companies to monitor the condition and location of goods in real-time, offering high visibility into the logistics status. With comprehensive monitoring, companies can proactively address issues and ensure goods remain in optimal condition throughout the shipping process. An IoT-based logistics monitoring system has the potential to enhance a company’s competitiveness through efficiency and accuracy in supply chain management. When effectively implemented, IoT technology can not only improve service quality and customer satisfaction but also strengthen a company’s position in an increasingly competitive market.

Internet of things (IoT) for safety and efficiency in construction building site operations

Internet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT implementation on construction sites by analyzing relationships between key factors and outcomes for safety and efficiency. Hypotheses were developed proposing positive correlations between each factor and effective IoT adoption on construction sites. Structural equation modeling analysis on survey data from construction professionals and site reports strongly validated the research hypotheses. Positive path coefficients and high statistical significance confirmed environmental monitoring (0.38), equipment management (0.343), predictive analytics and maintenance (0.222) and safety monitoring (0.369) as crucial enablers for successful IoT integration leading to safer and more productive construction operations. The findings highlight imperative focus areas and provide actionable insights for construction stakeholders on strategies to effectively leverage IoT capabilities.

An Efficient Flow-Based Anomaly Detection System for Enhanced Security in IoT Networks.

The growing integration of Internet of Things (IoT) devices into various sectors like healthcare, transportation, and agriculture has dramatically increased their presence in everyday life. However, this rapid expansion has exposed new vulnerabilities within computer networks, creating security challenges. These IoT devices, often limited by their hardware constraints, lack advanced security features, making them easy targets for attackers and compromising overall network integrity. To counteract these security issues, Behavioral-based Intrusion Detection Systems (IDS) have been proposed as a potential solution for safeguarding IoT networks. While Behavioral-based IDS have demonstrated their ability to detect threats effectively, they encounter practical challenges due to their reliance on pre-labeled data and the heavy computational power they require, limiting their practical deployment. This research introduces the IoT-FIDS (Flow-based Intrusion Detection System for IoT), a lightweight and efficient anomaly detection framework tailored for IoT environments. Instead of employing traditional machine learning techniques, the IoT-FIDS focuses on identifying unusual behaviors by examining flow-based representations that capture standard device communication patterns, services used, and packet header details. By analyzing only benign traffic, this network-based IDS offers a streamlined and practical approach to securing IoT networks. Our experimental results reveal that the IoT-FIDS can accurately detect most abnormal traffic patterns with minimal false positives, making it a feasible security solution for real-world IoT implementations.