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International Transactions on Artificial Intelligence (ITALIC)
Published by Pandawan Sejahtera Indonesia
ISSN : 29636086     EISSN : 29631939     DOI : https://doi.org/10.33050/italic
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Library & Information Science
International Transactions on Artificial Intelligence (ITALIC) is an international, open-access journal established to publish groundbreaking research in the field of Artificial Intelligence (AI). ITALIC focuses on both theoretical and experimental AI research and explores its applications across various interdisciplinary fields. The journal places a strong emphasis on emerging technologies that contribute to sustainable development, in line with the United Nations Sustainable Development Goals (SDGs). ITALIC welcomes contributions that cover a wide range of AI applications, including machine learning, neural networks, natural language processing, AI in energy management, sustainability, and urban infrastructure. In addition to original research, the journal publishes reviews, mini-reviews, case studies, and commentaries, fostering dynamic discussions on the evolving role of AI in addressing global challenges. All submissions are rigorously reviewed through a double-blind peer-review process, ensuring high academic standards. As an open-access journal, ITALIC makes its content freely available to a global audience, enhancing the dissemination of critical insights. Each article is assigned a Digital Object Identifier (DOI), ensuring permanent access and easy referencing.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 68 Documents
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New Personalized Social Approach Based on Flexible Integration of Web Services Prakriti Rashi; Manoj Chandra Lohani; Ninda Luftiani; Teddy Hermansyah; Ihsan Nuril Hikam
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.85

Abstract

Dynamic design or coordination stays one of the significant difficulties of web administration innovation. This article gives an inventive way to deal with the robust making of web administrations given practical and non-utilitarian properties and individual inclinations. This approach utilizes long-range informal communication web administrations to help the connection between web administrations, choice, and formation of web benefits all the more firmly connected with client inclinations. We utilize the web administration local area idea of the web administration informal community to essentially lessen the inquiry space. This people group was made with the immediate interest of web specialist co-ops.
Managing Digital Transformation in Marketing: "Fusion of Traditional Marketing and Digital Marketing" Ankur Singh Bist; Vertika Agarwal; Qurotul Aini; Nimatul Khofifah
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.86

Abstract

This paper aims to go deeper into how a firm executes digital transformation in marketing. The experiences discussed in this article will give insight from a business practice standpoint. The difficulties encountered and the solutions proposed will broaden knowledge and inspire additional research. This paper employs a qualitative technique, with one of Indonesia's significant telecommunications companies serving as the primary case study. Semi-structured interviews were used in this study, with 25 interviews conducted at the senior management level. As a result, this organization is developing digital transformation through digital and traditional marketing. A big challenge is focusing on existing consumers through conventional marketing while reaching out to additional customers through digital marketing. One of the aspects to consider while designing digital technology is the digital divide in some nations.
Artificial Intelligence that Exists in the Human Mind Muhammad Rehan Anwar; Fitra Putri Oganda; Nuke Puji Lestari Santoso; Muhamad Fabio
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.87

Abstract

This article asserts that some general AIs are incomprehensible to humans and that computers are innately incapable of performing certain human cognitive activities, including 1) Misconceptions of Godel's theorem and related statistics and mathematical results are at the root of objections to using AI; 2) Reductionism and objections to monistic reductionism, as well as a minimal appreciation of responses to different levels of discussion; 3) Concerns raised by a thorough understanding of computers or computing Developing a model in which "cognitive" functions can be created independently and referred to as "wetware" is pragmatic, according to a psychologist. The cognitive and essential assumptions for individuals involved in the usefulness of AI are pragmatic. From this point of view, AI is heavily invested in the future of cognitive psychology, if only because of their similar fate.
Game Theoretical-Based Logistics Costs Analysis: A Review Husni Teja Sukmana; Andree Emmanuel Widjaja; Hery Juan Situmorang
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.166

Abstract

As the range and complexity of outsourced services for logistics increase, Logistics has evolved into a distinct commercial service. The question of how to fairly charge logistics services has grown urgent. In this study, we conduct a comprehensive evaluation of the academic research on the cost of logistics services employing bibliometric and analyzing the content methodologies, with a focus on the application of game theory. Using three criteria logistics situations, game models, and influencing factors, we contrast and evaluate the research. This research examines the important stakeholders and research situations in logistics pricing examine the most suitable and often utilized game models, as well as highlights the primary elements determining logistics pricing. To close the gaps in our current understanding, we offer potential study directions. The present level of evidence-based study in the area of price for logistics is thoroughly reviewed in this work, this contributes to the creation of new models. From a pricing perspective, the results of this investigation are helpful in the advancement of logistics services, as a result, logistical activities will be more economical as well as environmentally sustainable.
The Digital Economy's Use of Big Data Mochamad Wahyudi; Vivi Meilinda; Alfiah Khoirunisa
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.167

Abstract

The function of Big Data technology and Data Science in the contemporary digital economy is examined in this article. According to the author, large and medium-sized businesses in the retail and service sectors have a greater interest in utilizing them. Banks, mobile operators, and major manufacturing firms actively employ these technologies (Artificial Intelligence) to evaluate data on equipment failures and minimize downtime, which enables cost-reduction. Big Data technology serves as a liquid product and a prerequisite for boosting business profitability through individualized customer care and predictive analytics. It is crucial to ensure the formation of unique data exchanges and legalize a single definition of big data for the modern digital economy.
Camera Trap Approaches Using Artificial Intelligence and Citizen Science Untung Rahardja
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.202

Abstract

For the purpose of tracking several animal species, camera trapping is developing into a more reliable and popular technology. The idea of "citizen science"—incorporating members of the public into the research process—has been gaining momentum concurrently . As a result, millions of individuals have made contributions to research in numerous sectors. Despite early acknowledgment of camera traps' significance for public engagement, they were previously unsuited for citizen science. Academics are seeking assistance in categorizing film as a result of camera trap technological advancements that have made cameras more user-friendly, as well as the massive amounts of data that they now collect. Because of this, there are many camera trap efforts that now involve public participation, indicating that camera trap research is now a viable choice for citizen science. In order to categorize films, researchers are also applying artificial intelligence (AI). Although it has already been established that this rapidly developing field is useful, accuracy varies, Furthermore, AI does not provide the social and engagement advantages that citizen scientific endeavors provide. More attempts at fusing citizen science and AI are being suggested as a strategy to boost classification efficiency and accuracy while maintaining public interaction.
Integrated Energy System Systems and Game Theory A Review Arief Ramadhan; Bhima Bhima; Tio Nurtino
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.203

Abstract

As mankind expands quickly, there is a shortage of energy worldwide. Instead of focusing on the production, transmission, and provision of a particular power source, China has proposed an To address the energy crisis, an integrated energy system is being developed. This system links energy resources and utilizes their complementary benefits. With the development of integrated energy systems, involvement and Engagement is getting increasingly difficult. Game theory, which can successfully address issues arising from multi-agent commerce, is a natural application of the System of integrated energy. This publication gives in-depth information analysis of how the integrated power system has undergone game theory analysis. Initial game situations in integrated power systems are provided, followed by a brief introduction to the evolution of integrated energy, The design and deployment of interconnected power systems issues are outlined, along with game scenarios that take into account the energy production side, supply chain, demand side, and all of these factors. Second, a summary of the fundamental for the integrated energy system, use game theory models is provided. The last topic is examined along with the challenges involved in game theory's potential application to integrated power systems. When applying the newly created game models to the integrated power system, a mixed game is recommended to solve these issues. This study should prove to be an invaluable resource for upcoming scholars in the subject.
Smart Cities Using Machine Learning and Intelligent Applications Anggy Giri Prawiyogi; Suryari Purnama; Lista Meria
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.204

Abstract

The goal of smart cities is to properly manage to expand urbanization, Reduce energy usage, Enhance the economic and quality of life of the locals while also preserving the environment conditions, and improve people's ability to use and adapt modern technology used in information and communication efficiently (ICT). Information and communication technology (ICT) is central to the concept of smart cities because it facilitates the development of policies, decision-making, implementation, and, eventually, the provision of useful services. This review's main objective is to examine how machine learning, deep reinforcement learning (DRL), and artificial intelligence are advancing smart cities. The previous strategies are effectively utilized to provide the best policies possible for a number of challenging issues relating to smart cities. The uses of the earlier methods are thoroughly discussed in this survey. in intelligent transportation systems (ITSs), Cybersecurity, as well as smart grid energy efficiency (SGs), ensuring the best 5G and beyond 5G (B5G) networking service, as well as a smart city with a smart health system, by effectively using unmanned aerial vehicles (UAVs). Finally, we list a number of the above-mentioned research problems and potential future directions approaches can be extremely helpful in bringing the idea of a smart city to life.
Functions of Artificial Intelligence, Income Investment Instrument, and Crypto Money in Era of The Fourth Revolution Cicilia Sriliasta; Dewi Sri Surya Wuisan; Tatik Mariyanti
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.205

Abstract

This research examines those related to Artificial Intelligence, stock robotics, and revenue intruments portfolio diversity in the context of the Fourth Industrial Revolution era, artificial intelligence, and concern for the environment. First, our results suggest that a portfolio of these assets is highly dependent, suggesting that large mutual losses are likely to occur during times of disruption in the economy. Second, it supports a large market mood in the near future, indicating that this disruption in the approaching time can increase the market mood of assets, while to support the market mood decreases for a long time.
Machine Learning and Artificial Intelligence as Educational Games Po Abas Sunarya
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.206

Abstract

Digital games are establishing themselves as a new paradigm in teaching. Everyone can play digital games, they're economical, and they're a terrific way to learn. Digital games that encourage computational thinking and programming have recently attracted more attention in pre-college (K–12) educational institutions. A growing number of students have been drawn to the subjects of In recent years, there has been an increase in artificial intelligence (AI) and machine learning (ML). Researchers in teaching and learning are interested in the integration of AI/ML with digital gaming, however there hasn't been a literature review in this field. This paper aims to summarize the most recent findings on instructional video games for AI and ML. A qualitative content analysis was conducted using the relevant essays and games that were selected following a comprehensive search. Using this summary as a base, we present a list of research publications and games that are relevant. illustrating the unique opportunities that diverse games offer to teach various AI and ML techniques and topics.

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