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Cleaner Production Letters 2025年 8卷

作者： Suhardono, Sapta Lee, Chun-Hung Thuy Phan, Thi Thanh Suryawan, I Wayan Koko Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Center for Environmental Solution (CVISION) Universitas Pertamina Jalan Sinabung II Terusan Simprug Jakarta 12220 Indonesia Center for Interdisciplinary Research on Ecology and Sustainability College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Dong Nai Campus Vietnam National University of Forestry Dong Nai Bien Hoa 810000 Viet Nam Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jalan Sinabung II Terusan Simprug Jakarta 12220 Indonesia

Globally, the rise of smart cities underscores the critical role of resident participation in advancing sustainable urban systems, particularly in managing waste during periods of transition. While technological innovations such as sensing and data analytics have garnered attention, the integration of these solutions with social dynamics remains underexplored. This study addresses this gap by investigating the dynamics of resident engagement in smart waste management during the transitional phase of landfill closures, using Yogyakarta, Indonesia, as a case study. The research aims to bridge the disconnect between technological advancements and community involvement, emphasizing their interplay in ensuring sustainable outcomes. Adopting a mixed-methods approach, this study integrates advanced computational intelligence with qualitative insights into behavioral drivers. Key elements of the methodological framework include sensing, learning, understanding, and acting, enabling a comprehensive exploration of the technological and human dimensions of waste management. Advanced predictive models analyze patterns in waste generation, optimizing system responsiveness and efficiency, while qualitative data reveal the critical role of education and tailored communication strategies in fostering resident participation. Findings demonstrate that combining cutting-edge technology with community-centric initiatives leads to significant improvements in waste management outcomes. Strategic educational campaigns and adaptive communication tailored to local contexts enhance public engagement and sustainable practices. Furthermore, the study underscores the importance of continuous learning and adaptive management, enabling urban planning frameworks to evolve in response to emerging challenges. This synergy between technology and civic participation is pivotal for the long-term success of smart city initiatives. The novelty of this research lies in its holistic integration of technolo

关键词： Landfill closure Resident participation Smart cities Smart city solutions Smart waste management Urban sustainability

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ML-Agents in Kart Racing Game using Microgame 17

ML-Agents in Kart Racing Game using Microgame

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Ana, Afina Anfa Pratama, Vitradisa Sukoco, Agus Prihatmanto, Ary Setijadi Nurmalasari, Rin Rin Juhana, Agus Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Universitas Mayasari Bakti Departement of Informatics Tasikmalaya Indonesia UIN Sunan Gunung Djati Department of Electrical Engineering Bandung Indonesia Universitas Pendidikan Indonesia Multimedia Education Study Program Bandung Indonesia

ISBN: (纸本)9798350309164

This paper presents an innovative approach to integrating ML-Agents into a microgame-based kart racing environment, showcasing the potential for enhancing gameplay experiences through AI-driven opponents. Kart Unity Game is a racing game that uses small motorized vehicles but still uses the concept of racing in the real world. One of the racing game development platforms is Unity. Unity has developed a platform, Unity Karting Microgame, which users can modify. Unity Karting Microgame applies self-driving to ML-Agents trained and designed to drive their karts with suitable sensors and actuators. The method used to develop the game is to modify the racetrack and modify ML-Agents to make the game more exciting and fun. As a result of this study, successful implementation of ML-Agents in a microgame-based kart racing environment. The study highlights the potential of using Unity ML-Agents to create AI-driven opponents that enrich gameplay experiences. Games can run well and seem varied. ML-Agents can also control their karts on their lanes. Thus, kart racing games can be implemented. © 2023 IEEE.

关键词： Software design

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Exploring Mathematical Analysis, Approximation Theory, and Optimization 1

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丛书名： Springer Optimization and Its Applications

1000年

作者： Nicholas J. Daras Nikolaos B. Zographopoulos Michael Th. Rassias

ISBN: (数字)9783031464874

ISBN: (纸本)9783031464867;9783031464898

This book compiles research and surveys devoted to the areas of mathematical analysis, approximation theory, and optimization. Being dedicated to A.-M. Legendre's work, contributions to this volume are devoted to those branches of mathematics and its applications that have been influenced, directly or indirectly, by the mathematician. Additional contributions provide a historical background as it relates to Legendre's work and its association to the foundation of Greece's higher education.;Topics covered in this book include the investigation of the Jensen-Steffensen inequality, Ostrowski and trapezoid type inequalities, a Hilbert-Type Inequality, Hardy’s inequality, dynamic unilateral contact problems, square-free values of a category of integers, a maximum principle for general nonlinear operators, the application of Ergodic Theory to an alternating series expansion for real numbers, bounds for similarity condition numbers of unbounded operators, finite element methods with higher order polynomials, generating functions for the Fubini type polynomials, local asymptotics for orthonormal polynomials, trends in geometric function theory, quasi variational inclusions, Kleene fixed point theorems, ergodic states, spontaneous symmetry breaking and quasi-averages.

关键词： Real Functions Optimization Approximations and Expansions Functional Analysis Operator Theory Number Theory

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Initial Exploration and Understanding of Parameters for Successful Enterprise Architecture Implementation 11

Initial Exploration and Understanding of Parameters for Succ...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Khairina, Dyna Marisa Purwanto, Purwanto Nugraheni, Dinar Mutiara Kusumo School of Postgraduate Studies Universitas Diponegoro Program in Information Systems Semarang Indonesia Universitas Diponegoro Faculty of Engineering Department of Chemical Engineering Semarang Indonesia Universitas Diponegoro Faculty of Science and Mathematics Department of Informatics Semarang Indonesia

ISBN: (纸本)9798350389654

This study provides an initial exploration and further understanding of the factors that are parameters in evaluating the success of Enterprise Architecture (EA) implementation. An evaluation process is needed to ensure that the EA project implementation provides effectiveness, efficiency, and feasibility of the EA information system as well as assessing previous project experience to avoid future EA project risks. The research aims to present a Systematic Literature Review based on the stages of identification, screening, eligibility, and inclusion so that 14 main articles are selected for review with strong actual relevance. The study results provide insights and references that can be used to further explore key factors in evaluating the success of EA implementation in the future. It was found that there were ten factors that most influenced the evaluation of the success of EA implementation and it was concluded that two potential factors were the most influential and required further exploration in evaluating the success of EA implementation which could be applied in various sectors/dimensions. This study contributes as an initial reference for overcoming problems in investigating and exploring the factors that influence the success of EA implementation as an effort to assess the success of achieving future organizational goals. © 2024 IEEE.

关键词： Enterprise Architecture Parameters Success Factors Systematic Literature Review

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Identification of Magnetite Material (Fe3O4) Based on Natural Materials as Catalyst for Industrial Raw Material Application 1

Identification of Magnetite Material (Fe3O4) Based on Natura...

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1st International Conference on Education, Science and Technology, ICON-EST 2018

作者： Maulinda Zein, Ikramullah Jalil, Zulkarnain Industrial Engineering Study Program Engineering Faculty of Serambi Mekkah University Banda Aceh Indonesia Material Physics Laboratory Department of Physics Faculty of Mathematics and Natural Science SyiahKuala University Banda Aceh Indonesia

Identification of magnetite nanoparticles synthesized from natural iron sand with a chemical treatment that is by using thecoprecipitation method on temperature and heated spaces, using a pair of acids and bases, i.e. HCL as a solvent NH4OH and as its precipation. The Crystal structure, the percentage of elements, the particle size and properties of the magnetism material characterization by XRD, XRF identification testing, and permagraph. From the results obtained in the Analysis that the value of the percentage purity of Fe3O4 are derived from Natural Sands before Extraction is of 81.42%, and once on extract 86.73% increase to its purity. From the results of the analysis of properties of ferrite magnet to Fe3O4from sand iron retrieved the value of Saturation Magnetization (Ms) produced amounted to 0.29 T, or residual magnetization Remanence (Br) of 0081 T, and Coercivityy(Hc) amounted to 1.82 kA/m expected data analysis results may explain the comparison characteristics in structure and magnetic properties of material with a natural sand Fe3O4 Aldrich so it can be an additional related information value added (added value) the local SDA. © Published under licence by IOP Publishing Ltd.

关键词： Magnetite

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Bibliometric Analysis of Trends and Directions in Machine Learning Applied to FinTech 4

Bibliometric Analysis of Trends and Directions in Machine Le...

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4th International Conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2024

作者： Arif, Erman Suherman, Suherman Widodo, Aris Puji Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Diponegoro University Faculty of Engineering Department of Chemical Engineering Semarang Indonesia Diponegoro University Faculty of Science and Mathematics Department of Informatics Semarang Indonesia

ISBN: (纸本)9798350378368

Our article presents a comprehensive analysis of trends and directions in the application of machine learning in the FinTech sector. By utilizing data from academic databases such as Scopus, our objective is to showcase the advancements in this interdisciplinary research area. The study identifies key trends, influential authors, leading journals, and significant collaborative networks that shape the field. The methodology employed involves quantitative bibliometric analysis to evaluate publications from the past five years. The results indicate a substantial increase in the number of studies during this period, highlighting the importance of machine learning in addressing critical financial challenges, including fraud detection, algorithmic trading, credit scoring, and risk management. Additionally, we delve into the main themes, countries, and institutions that dominate the current research agenda. This analysis provides valuable insights into the present state and future direction of machine learning in FinTech, serving as a resource for researchers and practitioners seeking to comprehend and contribute to this dynamic and rapidly evolving field. We also discuss implications for future research, emphasizing the necessity for continuous innovation and interdisciplinary collaboration to maximize the potential of machine learning in transforming financial services. © 2024 IEEE.

关键词： Adversarial machine learning

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Multi Task Classification Using Deep Learning Approaches for Big Five Personality Traits Prediction: A Review 11

Multi Task Classification Using Deep Learning Approaches for...

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11th International Conference on Information Technology, Computer and Electrical engineering, ICITACEE 2024

作者： Nudin, Salamun Rohman Gernowo, Rahmat Somantri, Maman Wibowo, Adi Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Diponegoro University Faculty of Science and Mathematics Department of Physics Semarang Indonesia Diponegoro University Faculty of Engineering Department of Electrical Engineering Semarang Indonesia Diponegoro University Faculty of Science and Mathematics Department of Informatics Semarang Indonesia

ISBN: (纸本)9798350389289

This paper presents a comprehensive review of deep learning methods for the Big Five personality traits prediction using multi-task classification. The purpose of the review is to determine the performance of models developed in previous research to describe research opportunities and challenges in the future. The Big Five model is a framework in psychology that categorizes human personality into five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism. The review begins by analyzing 22 articles from the Science Direct, IEEE Xplore, and Scopus databases by applying screening using the Big Five Personality keywords. Then study the concepts of deep learning for model development such as: input, architecture, method, dataset, and performance to identify the strengths and limitations of each approach. The review results of the highest average accuracy by modality such as unimodal text with essay dataset (80.98%), unimodal image with ImageNet dataset (95.36%), unimodal audio with SSPNet dataset (79.48%), bimodal image and audio with Chalearn Video First Impression dataset (91.67%), multimodal text, image, and audio with Chalearn Video First Impression dataset (91.88%). The average accuracy of the Big Five Personality traits was highest (95.36%) and lowest (59%). This highlights the need for standard benchmarks, interpretable models and interdisciplinary collaboration to improve the accuracy, reliability and ethical implications of personality prediction. Future research is expected to pave the way for advancements in understanding human personality through deep learning approaches using other modalities such as EEG, GSR, and PPG. © 2024 IEEE.

关键词： Contrastive Learning

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Effect of variations of concentration of texturized soy protein substitution on meat taste in plant-based frozen food products

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AIP Conference Proceedings 2025年第1期3186卷

作者： Kennis Rozana Nur’aini Kartikasari Ahvina Dwi Okta Firana Alimatul Aziizah Dediek Tri Kurniawan Nonny Aji Sunaryo Harsalim Aimunandar Jayaputra Department Biology Faculty of Mathematics and Natural Sciences Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Department Management Faculty of Economics Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Department Industrial Technology Faculty of Engineering Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Study Program Civil Engineering Politeknik Negeri Malang Jl. Soekarno Hatta 9 Malang 65145 Indonesia

Innovation in the food sector is the most promising innovation, especially since the need for food will be directly proportional to population growth which continues to increase throughout the year. Among the many types of food, frozen food products have a much greater demand than other types of food. Frozen food products are claimed to be more practical for various activities. The development of nonanimal-based frozen food needs to be developed to be an option for vegetarians and groups of people who want to maintain health. This study was conducted to determine the optimal concentration of texturized soy protein as a substitute for meat in non-animal frozen food products while considering the delicious taste that everyone likes. Variations in the concentration of texturized soy protein used were 3%, 5%, and 7%, respectively, of the total amount of all ingredients. Based on the results of research conducted, it is known that a 5% concentration of texturized soy protein produces frozen food products with a similar taste, color, texture, and aroma as animal-based frozen food products in general.

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Content design: E-learning module for study on cultural tourism information systems based on local wisdom 2

Content design: E-learning module for study on cultural tour...

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2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Pageh, I.M. Permana, A.A.J. Historical Education Faculty of Law and Social Sciences Ganesha University of Education Singaraja Indonesia Information Technology Department Informatics Management Study Program Faculty of Engineering and Vocational Ganesha University of Education Singaraja Indonesia

Facing the 4.0 industrial revolution, it is necessary to carry out reforms and innovations related to national education. Reforms and innovations in the implementation of components of the education system involve changes in curriculum, graduate competencies and assessments, teacher qualifications, funding, facilities and infrastructure, decentralization and educational autonomy. Bali as a world tourist destination must be maintained and passed on to the younger generation. The younger generation can use information technology to help promote Balinese culture. Bali has a lot of local wisdom that can be implemented in the tourism sector. Therefore to promote those local wisdoms, a module that can be accessed through e-learning is developed to help students develop a cultural tourism package based on local wisdom to be promoted online. The modules developed have been tested by content and media experts, which can be used independently by students. Modules can be accessed online at e-learning and they are ready to use instructions for students so they can work on assignments and projects independently. Modules containing this theory and practice are for making brochures, tour packages, videos, and websites, all of which are connected to promote tourism based on local Balinese wisdom. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Students

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Development of STEM project-based learning student worksheet for Physics learning on renewable energy topic 12

Development of STEM project-based learning student worksheet...

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12th International Physics Seminar, IPS 2023

作者： Muliyati, D. Prastiawan, F. Mutoharoh, M. Department of Physics Education Faculty of Mathematics and Natural Sciences Universitas Negeri Jakarta East Jakarta13220 Indonesia Industry Engineering Study Program Universitas Krisnadwipayana Jatiwaringin Bekasi13077 Indonesia

This research is motivated by the development of education in the 21st-century, which demands students to master the 4C skills (creative thinking, critical thinking, collaboration, and communication), particularly in the field of physics. The nature of physics learning requires active and interactive teaching methods that can be implemented through project-based activities for students. One effective instructional media is the student worksheet designed based on STEM-PjBL (science, technology, engineering, and mathematics project-based learning) principles. This research aims to assess the suitability of STEM-PjBL student worksheets as a learning media, which can serve as a recommendation to assist teachers in teaching renewable energy topics. This study uses the ADDIE model to adopt the Research and Development (R&D) method. This research results in a STEM-PjBL student worksheet as a physics learning media to understand renewable energy topics. The STEM-PjBL student worksheet is expected to assist students in mastering 21st-century skills effectively. © Published under licence by IOP Publishing Ltd.

关键词： Students

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