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Editor(s)-in-Chief: Albert Lam and Nick Papanikolaou

EAI Endorsed Transactions on Energy Web is an open access, peer-reviewed scholarly journal focused on cross-section topics related to IT and Energy. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a bi-monthly frequency (six issues per year). Authors are not charged for article submission and processing.

  • Editors-in-Chief
  • Albert Lam, University of Hong Kong, HK
  • Nick Papanikolaou, Democritus University of Thrace, Greece
  • Area Editors
  • Mikhail Medvedev (Southern Federal University, Russia)
  • Vladimir Dyo (University of Bedfordshire, UK)Andrey Mazalov (South Federal University, Russia)
  • Elena Gebel (Omsk State Technical University, Russia)
  • Irina Semykina (T. F. Gorbachev Kuzbass State Technical University, Russia)
  • Vyacheslav Potekhin (Peter the Great St. Petersburg Polytechnic University, Russia)
  • Sabu Thampi (Indian Institute of Information Technology and Management-Kerala (IIITM-K), India)
  • Baozhi Chen (Rutgers University, USA)
  • Manik Sharma (DAV University, India)
  • Amando P. Singun JR. (University of Technology and Applied Sciences, Muscat, Oman)
  • Irina Semykina (Sevastopol State University, Russia)
  • Chi-Hua Chen (Fuzhou University, China)
  • Vitor Monteiro (University of Minho, Portugal)
  • Joao L. Afonso (University of Minho, Portugal)
  • Abdul Shabeer (IBM India Pvt Ltd, Chennai, India)
  • Anandakumar H (Sri Eshwar College of Engineering, India)
  • Marta Chinnici (ENEA, Italy)
  • Howard NJOKU (University of Nigeria, Nigeria)
  • José Gabriel Oliveira Pinto (University of Minho, Portugal)
  • P Krishna (VIT University, India)
  • Jacinth Poornima (Hindusthan College of Engineering and Technology, India)
  • Karthikumar S (Anna University)
  • Duckki Lee (Yonam Institute of Technology, South Korea)
  • A. Hnatov (Kharkiv National Automobile and Highway University, Ukraine)
  • Dr. P. Karthikeyan (Jain University, India)

  • Analysis of Artificial Intelligence Design Incorporated into Design of Street Space in Small Cities

    Appears in:
    ew 24(1):

    Authors:
    Lei Song

    Published:
    24th Oct 2024

    Abstract:
    INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural life. With the development of the economy and science and technology, artificial intelligence and other information technologies are constantly integrated into daily life. Therefore, utilizing artificial intelligence for street space design research is significant. OBJECTIVES: To improve the development level of artificial intelligence, information technology, and the application level of artificial intelligence in China; to solve the problem of the relatively low level of street space design in the current city, especially in small towns, to meet the needs of people's cultural life; to promote the improvement of the level of artificial intelligence in China for the convenience of civil life, and to further improve the level of street space design in China. METHODS: Firstly discusses the theories, such as the principles of street space design in small cities, to illustrate the necessity of integrating AI into street space design in small towns; secondly, the model established by AI is used to optimize the street space in small cities; finally, the feasibility of integrating AI design into street space design in small towns is illustrated through cases and examples. RESULTS: Street space design in small cities in China needs more design aesthetics, and artificial intelligence needs to be integrated into street space design. Artificial intelligence has a noticeable optimization effect on street space design, and using artificial intelligence can improve the design level of limited space. Also illustrates that artificial intelligence can be better integrated into the street space design of small cities through cases. CONCLUSION: In the context of the digital era, the street space design of small cities needs to apply artificial intelligence. In modernization-oriented urban construction, the street space design level of small towns should be further strengthened to improve the modernization level of cities.

  • Driving Innovation and Sustainability: The synergy between Fuel-Cell Hydrogen Vehicles and Smart Mobility

    Appears in:
    ew 24(1):

    Authors:
    Nadia Karina Gamboa-Rosales

    Published:
    21st Mar 2024

    Abstract:
    INTRODUCTION: To set the stage by highlighting the convergence of hydrogen vehicles and smart mobility as a significant development in transportation. It discusses the potential of hydrogen vehicles powered by fuel cells to address environmental challenges and emphasizes the role of smart mobility initiatives in optimizing transportation systems. OBJECTIVES: To analyze the main research themes related to fuel-cell hydrogen vehicles and smart mobility, focusing on productivity, impact, and content. METHODS: Using bibliometric methodologies, techniques and tools, this research analyzes the main research themes, pursuant to its productivity, impact and contents according to the literature available in Scopus. To this end, all the documents related to fuel-cell hydrogen vehicles and smart mobility were retrieved and analyzed (610 publications, with 19,494 cites, from 1992 to 2023) using VOSviewer. RESULTS: In terms of bibliometric performance, the volume of literature pertaining to research on hydrogen vehicles and smart mobility has exhibited a significant surge in recent years (1992–2023). Given the substantial number of publications and citations garnered in this domain, it is anticipated that interest will continue to escalate, thereby bolstering other knowledge domains such as sustainable development, climate change, fuel cell technologies, connectivity, and beyond. CONCLUSION: The importance of various factors in the context of hydrogen vehicles and smart mobility cannot be overstated. Sustainable development stands as a guiding principle, ensuring that advancements in transportation align with environmental preservation and societal well-being.

  • Transforming the Energy Sector: Addressing Key Challenges through Generative AI, Digital Twins, AI, Data Science and Analysis

    Appears in:
    ew 24(1):

    Authors:
    Veena Grover, Praveen Tomar

    Published:
    11th Jan 2024

    Abstract:
    The energy sector, both in the UK and globally, faces significant challenges in the pursuit of sustainability and efficient resource utilization. Climate change, resource depletion, and the need for decarbonization demand innovative solutions. This analytical research paper examines the key challenges in the energy sector and explores how generative AI, digital twins, AI, and data science can play a transformative role in addressing these challenges. By leveraging advanced technologies and data-driven approaches, the energy sector can achieve greater efficiency, optimize operations, and facilitate informed decision-making. Artificial Intelligence (AI) involves replicating human-like intelligence in machines, enabling them to execute tasks that typically demand human cognitive capabilities like perception, reasoning, learning, and problem[1]solving. AI encompasses various methodologies and technologies, such as machine learning, natural language processing, computer vision, and robotics. Its adoption in the energy sector carries significant promise for addressing critical concerns and revolutionizing the industry. An overarching challenge in the energy sector revolves around enhancing energy efficiency, and AI emerges as a pivotal tool for optimizing energy utilization and curbing wastage. By analyzing vast amounts of data from various sources such as sensors, smart meters, and historical energy consumption patterns, AI algorithms can identify patterns and anomalies that humans may not detect. This enables the development of predictive models and algorithms that optimize energy consumption, leading to significant energy savings.

  • State-of-the-art review on energy management systems, challenges and top trends of renewable energy based microgrids

    Appears in:
    ew 24(1):

    Authors:
    Yefan Wu, Caiyan Liu, JinZhu Cui

    Published:
    8th Jan 2024

    Abstract:
    Due to the increasing demand for electrical energy worldwide and environmental concerns, modern power systems are looking for a fundamental change. These changes include reducing dependence on the primary electricity grid and using renewable energy sources on a large scale. The emergence of microgrids in electrical energy systems will improve the level of these systems due to technical, economic, and environmental benefits. In this research work, the authors have conducted extensive studies on control methods, types of power sources, and the size of microgrids and analyzed them in tabular form. In addition, the review of communication technologies and standards in microgrids, as well as the review of microgrid energy management systems to optimize the efficiency of microgrids, is one of the main goals of the authors in this article. Also, in this article, the top 10 trends of microgrids in 2023 have been examined to increase the flexibility of network infrastructure, which helps readers to improve their strategic decisions by providing an overview of emerging technologies in the energy industry.

  • Indian Green Hydrogen Framework: An Assessment

    Appears in:
    ew 23(1):

    Authors:
    Sandhya Kumari, Isha Pandey

    Published:
    28th Dec 2023

    Abstract:
    INTRODUCTION: India, with its diverse energy needs, is at a crucial point, looking to adopt greener energy options for sustainable future; wherein green hydrogen is emerging as a key player, fitting well with India's renewable energy goals. OBJECTIVES: In this backdrop, this research paper dives into the world of green hydrogen, India's renewable energy regime, and the latest green hydrogen initiatives. The paper highlights how green hydrogen works hand-in-hand with India's broader renewable energy plans, including private public partnerships. The paper also looks at the overview, challenges and future prospects of the green hydrogen framework of India. METHODS: The methodology used in this paper is based on comprehensive analysis of legal documents, statutes and case law, focusing on a systematic examination of judicial decisions and legal principles. RESULTS: The research concludes that green hydrogen holds significant promise for India's energy future, effectively complementing its renewable energy strategies and offering viable solutions to climate change challenges, thereby supporting the achievement of Sustainable Development Goal 7. CONCLUSION: In conclusion, the research paper ends on a hopeful note, suggesting that green hydrogen could be a vital tool in addressing climate change and play a significant role in India's renewable energy regime, aiding in the achievement of SDG7.

  • Green Economic Policies, Strategies & Initiatives of India

    Appears in:
    ew 23(1):

    Authors:
    Ajit Singh, Monica

    Published:
    20th Dec 2023

    Abstract:
    Sustainable economic development is crucial to secure human welfare and eliminate social inequality. Global leaders have recently made progress towards reaching an agreement on how to convert the current unsustainable economic trends into sustainable green economic growth. The viability of the green economy depends on several variables, including governmental policy, the business climate, and environmental concerns. The presented paper examines the implementation of green economic policies and analyses government strategies and initiatives taken by the government at the national level. The study uses a descriptive-analytical approach. The study finds India is putting many regulations and initiatives into place to encourage the effective use of energy in a variety of economic areas, including green building, equipment, farming, mobility, and fuels. These green growth initiatives lower the economy's carbon intensity and provide a sizable number of green jobs.

  • Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

    Appears in:
    ew 23(1):

    Authors:
    Qin Dong

    Published:
    20th Dec 2023

    Abstract:
    In order to improve the efficiency and accuracy of mobile robot visual image feature recognition, a mobile robot visual image feature recognition method based on machine vision is proposed in this paper. Firstly, the development of mobile robot vision is analyzed, and the specific functions of robot visual feature recognition method are designed; Then, the Fourier series method is used to collect the mobile robot visual image, and the matrix associated with the autocorrelation function is calculated according to the Harris algorithm to complete the edge feature extraction of the mobile robot visual image; SIFT feature points of mobile robot visual image are classified, and mobile robot visual image feature recognition is realized through machine vision. The experimental results show that when the number of images is 600, the accuracy of image feature recognition and the loss value of image edge feature extraction of this method are 96.98% and 6.38%, respectively, and the number of iterations is 500. The time of visual image feature recognition of this method is only 3 minutes; The method has the lowest error mean and error variance under different noise conditions. This method can effectively improve the efficiency and accuracy of image feature recognition.

  • The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban Areas

    Appears in:
    ew 23(1):

    Authors:
    Srishti Dikshit, Vinay Dwivedi, Aarushi Thusu, Mohammad Shahid, Areeba Atiq

    Published:
    15th Dec 2023

    Abstract:
    The swift urbanization of cities has given rise to an unparalleled surge in vehicular traffic, leading to substantial congestion, heightened pollution, and a diminished quality of life. This investigation explores the capacity of artificial intelligence (AI) to transform urban mobility by optimizing vehicle routing and alleviating traffic congestion. The objective is to create AI-powered solutions that augment transportation efficiency, diminish travel times, and mitigate environmental repercussions. This paper thoroughly scrutinizes existing AI algorithms, vehicle routing, and traffic management techniques. The study integrates real-time traffic data, road network characteristics, and individual travel patterns to formulate intelligent routing strategies. The proposed AI system adjusts to dynamic traffic conditions through machine learning and optimization algorithms, pinpointing optimal routes and redistributing traffic flows to minimize congestion hotspots. To assess the effectiveness of the AI-driven approach, extensive simulations and case studies are conducted in representative urban areas. Performance metrics, including travel time reduction, fuel consumption, and emissions reduction, are employed to quantify the impact of the proposed system on traffic congestion and environmental sustainability. Furthermore, the study evaluates the scalability, feasibility, and economic viability of implementing AI-based traffic management solutions on a larger scale. The outcomes of this research provide valuable insights into the potential advantages of AI in reshaping urban mobility. By optimizing vehicle routing and diminishing traffic congestion, the proposed AI-driven system has the potential to elevate overall transportation efficiency, reduce energy consumption, and contribute to a healthier urban environment. The findings carry substantial implications for policymakers, urban planners, and transportation authorities seeking innovative solutions to tackle the challenges of contemporary urbanization while promoting sustainable development.

  • Energizing Tomorrow: Analyzing the Transformative Potential of Electric Vehicle Adoption

    Appears in:
    ew 23(1):

    Authors:
    Muskan Gupta, Muhammed Asif PC, Anu Agnihotri, Neha Seth, Saif Siddiqui

    Published:
    15th Dec 2023

    Abstract:
    INTRODUCTION: A developing economy lacks the infrastructure required to produce renewable energy sources on a large scale that can be coupled with conventional resources. This prevents the economy from taking advantage of these types of resources. The emergence of the electric vehicles (EVs) industry has been a primary catalyst for both the expansion of the economy and the production of new employment opportunities. The manufacturing and distribution of electronic automobiles have cleared the way for the construction of new manufacturing locations as well as a supply chain. This has been made possible as a result of the increased demand for EVs. OBJECTIVES: The objectives of this article are to know the overall impact of EVs on the environment through a review of the literature and to study if ongoing changes affect the economy of India. METHODS: The systematic review of literature is used to fulfil the objectives of the study. RESULTS: EVs offer a solution to reducing air pollution and greenhouse gas emissions due to their zero tailpipe emissions. They eliminate pollutants like nitrogen oxide and particulate matter, improving air quality and public health. EVs, powered by renewable energy sources like solar, wind, or hydroelectric power, reduce reliance on fossil fuels. Their higher energy efficiency and technological advancements in batteries also create employment and innovative economic opportunities. Additionally, EVs contribute to quieter and more serene environments, especially in densely populated areas, due to their silent operation. CONCLUSION: It can be concluded that the adoption of EVs has both positive and negative impacts on economy countries. But as compared to negative impacts, positive impacts are very high on the economic condition of any country.

  • A Short Literature on Linear Programming Problem

    Appears in:
    ew 23(1):

    Authors:
    R. Kumar, Shubham Kumar Tripathi

    Published:
    30th Nov 2023

    Abstract:
    Researchers and scientists have developed various approaches and methodologies over time to model and analyze different types of linear programming problems, such as assignment problems and parametric programming problems. This paper provides a critical review and classification of existing modelling approaches and solution methods related to linear programming problems. Moreover, the simplex method is discussed in detail through a comprehensive literature review. The paper concludes by presenting an integrated research framework that is directly applicable to the present context, along with suggestions for future research directions.

  • Calculation of the Levelised Cost of Electrical Energy Storage for Short-Duration Application. LCOS Sensitivity Analysis

    Appears in:
    ew 18(21): e2

    Authors:
    Vikenty Melnikov, Gleb Nesterenko, Anton Potapenko, Dmitry Lebedev

    Downloads:
    10699

    Abstract:
    This paper research the issues of economic comparison of electrical energy storage systems based on the levelised cost of storage (LCOS). One of the proposed formulas for LCOS calculation was given, the parameters to be considered and the basic principles of their calculation were examined in detail. The LCOS was calculated for an electrical energy storage system, whose main function is to compensate for rapid changes in load power. LCOS sensitivity to changes in variables was analysed. The scope of potential application of the formula under consideration was specified, and the limitations preventing its wider use were indicated.

  • Design, Simulation and Economic Analysis of A Rooftop Solar PV System in Vietnam

    Appears in:
    ew 21(35): e11

    Authors:
    Thanh Ba Nguyen, Phuong Hoang Van

    Downloads:
    4390

    Abstract:
    Installing a grid-connected rooftop solar system for a household is an important issue; therefore, there are many factors that need to be considered before the installation is decided. The main factors to be noted are the total cost of the installation, the amount of electricity generated as well as the government's support policies for the development of solar energy. This article presents the design, simulation and economic analysis of an 8.36kWp grid-connected rooftop solar power project for a household in Thu Dau Mot City, Vietnam. The study calculates the generated electricity, the efficiency of the Photovoltaic(PV) power system, the ability to reduce the amount of CO2 emitted into the environment and the economic indicators of the project. This research is useful for stakeholders investing in residential rooftop solar PV systems and Vietnam’s energy policymakers as well.

  • The Impact of the Blockchain on Academic Certificate Verification System-Review

    Appears in:
    ew 21(36): e11

    Authors:
    S. Jayalakshmi, Kumutha K

    Downloads:
    3911

    Abstract:
    Blockchain innovation (BT) guarantees benefits in believe capacity, collaboration, organization, identifying proof, validity, and transparency. These solid suggestions for the long run of how to verify the authenticity of academic certificates because a paper-based certification is fallible to manipulation and susceptible to fraud. This literature review started by collecting a test of basically peer-reviewed sources, as well as an enlightening outline of articles from different other channels to analyse about approximately later approaches, techniques and later patterns on instruction which is being utilized in blockchain innovation on document verification from different sector such as banking , medical records and education system etc. This paper proposes a digital certificate verification blockchain based system employing anowner authentication scheme and time, space of the students are stored as blocks using blockchain technology. A distributed public record with tamper proof and immutable that preserves the state of the document, which creates security in the digital asset. This clearly stated that this technology is required to keep digital assets in secure and any one can access without loss of data and maintained it with minimum cost.

  • Capacity Enhancement and Voltage Stability Improvement of Power Transmission Line by Series Compensation

    Appears in:
    ew 19(23): e3

    Authors:
    Md. Shahriar Hasan, Md. Minarul Islam, Prajoy Podder, Md. Raihan-Al-Masud

    Downloads:
    3864

    Abstract:
    To install a new infrastructure of a power transmission line is not only costly but also time-consuming, and it also have some harmful impact on our environment and therefore existing transmission infrastructure is important to use effectively. FACTS is a popular solution to utilize this existing power transmission system by using series compensation by means of the series capacitor to enhance the power transmission capacity as well as voltage stability. This paper explores the utilization of series capacitor applying to the power grid of Eastern part of Bangladesh. For doing this we have considered the analytical calculation of 10% to 85% compensation of that power line. As a result, we have observed that the power transfer capacity has been enhanced about 37 times and it also improve the voltage stability, when the compensation ration is 85%. We consider our calculation mathematically and represent the load curve and voltage profile by plotting in Matlab.

  • Detection of Potholes on Roads using a Drone

    Appears in:
    ew 21(38): e4

    Authors:
    Akshay Padesur, Manoj Kumar V, Atish Shet, HemaMalini B.H

    Downloads:
    3375

    Abstract:
    Locating potholes and repairing them is essential, but it has always been a time consuming task for the authorities. This paper presents a way that can help the authorities speed up the pothole detection process by the use of a camera-enabled Unmanned Aerial Vehicle drone. The system is further enabled with a geo-tag and reports the presence of a pothole to the central database which is accessible by the relevant authorities and the common road users. The potholes are located on an open-source map, through which the users using the road can take caution. This increases public safety and helps the concerned authorities take action faster. The model is trained with YOLOv3 algorithm to even detect potholes filled with water, and distinguish potholes from dark road patches, and etc. The results show good accuracy of 85% in detecting the potholes with a low false-negative and false-positive rate.

  • A Three-Level Ransomware Detection and Prevention Mechanism

    Appears in:
    ew 20(26): e6

    Authors:
    Amos Loh Yee Ren, Im Jun Hyug, NZ Jhanjhi, Sarfraz Nawaz Broh, Chong Tze Liang

    Downloads:
    3358

    Abstract:
    Ransomware encrypts victim’s files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links. NotPetya has worm-like capabilities and exploits EternalBlue and EternalRomance vulnerabilities. Protection methods include vaccination, applying patches, et cetera. Challenges faced to combat ransomware include social engineering, outdated infrastructures, technological advancements, backup issues, and conflicts of standards. ThreeLevel Security (3LS) is a solution to ransomware that utilizes virtual machines along with browser extensions to perform a scan, on any files that the user wishes to download from the Internet. The downloaded files would be sent over a cloud server relay to a virtual machine by a browser extension. Any changes to the virtual machine after downloading the file would be observed, and if there were a malfunction in the virtual machine, the file would not be retrieved to the user’s system.

  • Mathematical Modeling and Kinematic analysis of 3-RRR Planar Parallel Manipulator

    Appears in:
    ew 21(35): e9

    Authors:
    Shaik Himam Saheb, G. Satish Babu

    Downloads:
    3314

    Abstract:
    Parallel mechanisms are found as positioning platforms in several robot manipulator applications tool manufacturing applications. Today, various types of these mechanisms are classified based on the structure, type of joints, and degree of freedom. An important and basic planar mechanism providing three degrees of freedom at the end-effector (movable platform) is a 3-RRR linkage. The forward kinematics in parallel mechanisms is a multi-solution problem and involves cumbersome calculations compared to inverse kinematics. With forward kinematics, the input kinematic parameters for any manipulator are known, and the end effector coordinate must be determined. The kinematic equations are generated with mechanics principles, and Jacobian matrices are formulated, With the Jacobian matrix, the regular workspace and dexterous workspace analysis calculated. The main objective is to fabricate a model of this planar manipulation mechanism with calculated dimensions and observe the practical workspace and dexterous workspace available at the end effector. The practical workspace and calculated workspace is presented in this paper. This final output data is useful for manipulator designers to design manipulators for different applications. In addition to this, the stress analysis is performed with Ansys software’s help to estimate the moving platform’s failure zone.

  • Improved Prediction of Wind Speed using Machine Learning

    Appears in:
    ew 19(23): e2

    Authors:
    Senthil Kumar P

    Downloads:
    3008

    Abstract:
    The prediction of wind speed plays a significant role in wind energy systems. An accurate prediction of wind speed is more important for wind energy systems, but it is difficult due to its uncertain nature. This paper presents three artificial neural networks namely, Back Propagation Network (BPN), Radial Basis Function (RBF) and Nonlinear AutoRegressive model process with eXogenous inputs (NARX) with Mutual Information (MI) feature selection for wind speed prediction. The MI feature selection identifies the significant features and reduces the complexity of wind speed prediction model without loss of information content. The performance of prediction model is evaluated in terms of Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results show that the performance of all three neural network models are highly satisfied. Moreover, NARX model with mutual information feature selection is more accurate in dealing with wind speed prediction.

  • Solar Tilt Angle Optimization of PV Systems for Different Case Studies

    Appears in:
    ew 19(23): e7

    Authors:
    Hasan N. Muslim

    Downloads:
    2929

    Abstract:
    The evolution of solar photovoltaic systems (PV) in the last decade has been marvellous around the world. This growing in using of PV technique hinge on the electrical load profile that required to be covered and the rate of the electricity that can be generated from the areas where the solar cells to be installed. The production of PV systems is based on the fuel which is represented by the solar radiation. In this study, an algorithm has been proposed to optimize the solar tilt angle based on MATLAB software (m-file) in order to maximize the PV generation. Monthly and annually optimal tilt angles are suggested for different case studies those are: Najaf, California and New Delhi. Also, the estimation of solar radiation for each month is calculated according to their optimal tilt angles. The obtained results indicate that the yearly gain of solar radiation from orientation solar panels is approximately 18% for Najaf city and a high gain values for winter months with very small energy gains for summery months, and so on for other case studies. This proposed algorithm is general program and can be applied for any site on the earth by changing the latitude and longitude of the desired area.

  • Incident Management of Information Technology in the Indonesia Higher Education based on COBIT Framework: A Review

    Appears in:
    ew 19(22): e3

    Authors:
    Syifaul Fuada

    Downloads:
    2871

    Abstract:
    Nowadays, implementing the IT management in Indonesia Higher Education (HE) has been an integral part of institution management and all business functions, starting from teaching & learning, academic information system, administration & payment system, registration of student’s admission and so on. Handling incident response is an IT management and evaluation activity that must be done by the HE in Indonesia. Because, this activity is used to control the business sustainability and help perform attempts of betterment. To this matter, a standardized guideline is required so that the management of handling incidents in the HE environment can be performed effectively and efficiently. COBIT framework version 4 has four domains with 34 processes, while the version 5 has five domains with 37 processes. The process of handling incidents in COBIT 5 is discussed in the DSS02 process, namely Manage Service Request, and Incident of DSS domain. Meanwhile, COBIT 4 is discussed in the DS8 process, namely Manage Service Desk and Incidents. This paper reviews the status of management of handling IT incidents in Indonesia HE limited from 2010 to 2016.
Publisher
EAI
ISSN
2032-944X
Number of Volumes
10
Last Published
2023-06-22
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