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All Journal Jurnal Ekonomi : Journal of Economic Journal of Business and Behavioural Entrepreneurship Jurnal Pengabdian Masyarakat AbdiMas Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI IKRA-ITH ABDIMAS Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Cakrawala Pedagogik JURNAL LENTERA BISNIS Economy Deposit Journal ( E-DJ) Jurnal Ilmiah Edunomika (JIE) Bulletin of Counseling and Psychotherapy Jurnal Syntax Transformation Jurnal Fokus Manajemen Bisnis International Journal Of Science, Technology & Management (IJSTM) IAIC Transactions on Sustainable Digital Innovation (ITSDI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Berajah Journal Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan International Journal of Cyber and IT Service Management (IJCITSM) Jurnal Ilmu Sosial dan Humaniora Startupreneur Business Digital (SABDA Journal) Profit: Jurnal Manajemen, Bisnis dan Akuntansi International Journal of Economics (IJEC) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Media Abdimas International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Meria, Lista
Universitas Esa Unggul
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Journal : International Transactions on Artificial Intelligence (ITALIC)

 1 
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.
Development of Automatic Industrial Waste Detection System for Leather Products using Artificial Intelligence Lista Meria
International Transactions on Artificial Intelligence Vol. 1 No. 2 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i2.296

Abstract

This rapid world situation led to a significant growth in the amount of waste, including in economic activity. Due to the huge amount of waste growth every year, effective and efficient waste management is needed to protect our environment. In leather products economic activities, waste management is very important because it can have a significant effect on labor and manufacturing processes. Given the problem, waste management technology is considered the answer to solve the situation. Current investigations report remarkable results from the sealing of artificial intelligence-based tools that serve to detect and acknowledge whether it is an industrial waste. This artificial intelligence-based tool proved to be the answer to this situation approach capable of grouping several types of garbage with good performance. Despite these advantages, this artificial intelligence-based tool still finds some limitations, such as high computing demands, especially for deep learning networks. In view of these constraints, we propose a deeper learning network that is more appropriate for recognizing the waste of economic activity. In the course of this investigation, we used a Single Shot Detector to acknowledge and classify economic activity waste. The proposed completion ideas are carried out in the TrashNet dataset and the Waste Picture dataset. Our solution achieved an mAP of 0.8813, accuracy of 0.9795, performance measure of 0.9985 and conformance of 0.9693 in the training process. Meanwhile, in the process of verifying the tool, we achieved an average accuracy of 0.8254. Based on these experiments, we can conclude that our solution is suitable for detecting waste of economic activity and has the opportunity to be implemented as an installed system for programmatically recognizing waste of economic activity.
For a CPS-IoT Enabled Healthcare Ecosystem Consider Cognitive Cybersecurity Anggy Giri Prawiyogi; Lista Meria
International Transactions on Artificial Intelligence Vol. 2 No. 1 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i1.398

Abstract

Cyber-Physical Systems (CPS)-Internet of Things (IoT) enable healthcare services and infrastructure to enhance human lives, but they are vulnerable to various emerging cyber attacks. Cybersecurity specialists struggle to keep up with increasingly sophisticated attack methods. An urgent requirement exists for inventive cognitive cybersecurity in CPS-IoT enabled healthcare ecosystems. This paper presents a framework for cognitive cybersecurity to simulate human cognitive behavior in anticipating and responding to new and evolving cybersecurity and privacy threats to CPS-IoT and critical infrastructure systems. The framework encompasses the conceptualization and description of a layered architecture that integrates Artificial Intelligence, cognitive methods, and innovative security mechanisms.
Co-Authors Abadi, Ferryal Abshor Marantika Agustina, Noni Alexander William Aliyah Zahrah Amroni Andriyansah . Anggy Giri Prawiyogi Antonius Ardi Fadilah Aropria Saulina Panjaitan Atiya Fadila Awhina, Ridan Ahsani Te Bangun, Cicilia Sriliasta Binastya Anggara Sekti Bintoro, Annida Ningrum Budi Tjahjono Corry Yohana D. Santiago, Nila Desy Prastyani Deva Rivelino Devyani, Shindy Dita Indriyani Djatmiko, Budi Dudhat, Amitkumar Duwi Juliansah, Muhamad Alfi Dwi Andayani, Dwi Dwi Apriliasari Edwards, John Elistia, Elistia Euis Sadeli Fabian, Stefanus Fauziah, Zaleha Felix Sutisna Gunawan, Michael Surya Hasanah, Ananda Uswatun Hayadi, Bambang Herawan Hendy Tannady Insanita, Rizqiah Isabella Maria Jovita Nathania Julianingsih, Dwi Kosasih, Fajar Gumilang Kundang Karsono Lukita Pasha Manawar, Albert Meria, Lista Meria Mira Kartika Dewi Djunaedi Mitsalina Tantri Mulyaningsih, Putri Muniroh, Muniroh Mustopa Mustopa Naibaho, Santy Berliana Nastavia Putri Nina Nurhasanah, Nina Ninda Lutfiani Nizirwan Anwar Patel, Aroha Pranata, Sudadi Priandito Primasatria Edastama, Primasatria Putri, Sonia Yunisya Rahmawati, Wulan Regina Deka Sofia Riya Widayanti Rojuaniah Rojuaniah Ruhiyat, Imam Safariningsih, Ratna Tri Hari sari budiarti Saukani Saukani Saukani Saukani Saukani Simorangkir, Holder Sita Husnul Khotimah, Sita Husnul SOLAHUDIN SOLAHUDIN, SOLAHUDIN Sri Mulyani Sri Mulyani Sri Rosmalina Soejono Sri Watini Subagyo, Luthfina Tsabitah Sunarjo, Richard Andre Suriyadi, Suriyadi Suryani Purnama Suryari Purnama Syah, Tantri Yanuar Rachmat Syamsiar, Syamsiar SYAMSUL HIDAYAT Syauqy, Muhamaad Rifat Tatik Mariyanti, Tatik Toh Hua, Chua Tri Ismardiko Tuti Nurhaeni Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Unggul Purwohedi Untung Rahardja Utami, Naning Putri Viatiningsih, Wiwik Victorianda Widodo, Agung Mulyo Yulfitri, Alivia Yunita Fauzia Achmad Zanubiya, Jihan