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International Seminar on Application for Technology of Information and Communication (ISemantic)

作者： Ade Cahyo Priyo Utomo Christy Atika Sari Eko Hari Rachmawanto Heru Pramono Hadi Salama A. Mostafa Wisam Subhi Talib Al-Dayyeni Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Study Program in Information Systems University of Dian Nuswantoro Semarang Indonesia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia School of Information Technologies and Engineering ADA University Baku Azerbaijan

Citrus Limon L. (Lemon) is a type of fruit that is currently widely consumed, because it contains abundant vitamin C, fiber, and antioxidants. This fruit have high potential in the agribusiness sector and is widely cultivated by traditional farmers. However, during harvest time, traditional farmers generally still use manual methods using the human eye in distinguishing the maturity level of lemons which is less efficient because it has a low accuracy. Digital image processing is one solution to this problem. In the research on the classification of lemon maturity levels using digital image processing with the feature extraction method of the Mean RGB, HSV, and LBP methods and the K-Nearest Neighbor classification algorithm in this study, a total of 120 lemon images were used which were divided into 80 training image data and 40 image data. testing. The results of model performance measurements in the form of the highest accuracy level in the Mean RGB method of 100%, the highest accuracy in the HSV method of 98%, and the highest accuracy in the LBP method of 82.5%.

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Community-centric importance and performance evaluation of Human-Orangutan Conflict management in Aceh, Indonesia

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Trees, Forests and People 2024年 15卷

作者： Suhardono, Sapta Fitria, Laili Septiariva, Iva Yenis Sari, Mega Mutiara Ulhasanah, Nova Prayogo, Wisnu Arifianingsih, Nur Novilina Buana, Dwinto Martri Aji Suryawan, I Wayan Koko Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Faculty of Engineering Universitas Tanjungpura Pontianak 78124 Indonesia Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Jl. Ir Sutami No.36 Surakarta 57126 Indonesia Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Department of Building Engineering Education Faculty of Engineering Universitas Negeri Medan Medan 20221 Indonesia Department of Environmental Engineering Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Bandung 40116 Indonesia Department of Management Universitas Widyatama Bandung 40125 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan

This study presents an Importance-Performance Analysis (IPA) to evaluate the management strategies for Human-Orangutan Conflict (HOC) in Aceh, Indonesia. Utilizing an IPA Grid, the research categorizes various management strategies into four quadrants, each reflecting different levels of community-perceived importance and performance. Strategies like “Orangutan-Safe Fences” and “Community-Based Natural Resource Management (CBNRM) for Orangutans” in Quadrant A are both important and performing well, underscoring the effectiveness of current efforts in these areas. Significantly, “Traditional Measures for Orangutan Deterrence,” which include non-harmful, traditional methods such as the use of specific noise deterrents, physical barriers, and community-led patrols to discourage orangutans from entering human areas, alongside “Quick Response program for Orangutan Incidents,” are placed in Quadrant B. In Quadrant C, “Strengthen Law Enforcement and Conservation Policies” are deemed less crucial and underperforming, suggesting a lower priority for immediate resource allocation. Lastly, Quadrant D includes well-performing but less critical strategies like “Early Warning Systems for Orangutan Presence” and “Raise Local Awareness About Orangutans,” pointing to potential over-investment. The study's findings advocate for a strategic reallocation of resources and highlight the importance of aligning conservation efforts with community priorities for effective and sustainable HOC management. © 2024 The Author(s)

关键词： Aceh Community-based conservation Human-Orangutan Conflict Importance-performance analysis Wildlife management

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Smart Dome 4.0: Low-Cost, Independent, Automated Energy System for Agricultural Purposes enabled by Machine Learning 2

Smart Dome 4.0: Low-Cost, Independent, Automated Energy Syst...

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2021 2nd International Symposium on Automation, Information and Computing, ISAIC 2021

作者： Budiman, Arief S Gunawan, Fergyanto Djuana, Endang Pardamean, Bens Romeli, Sugiarto Putri, Dianing Nn Aji, Daisman Pb Rahardjo, Kuat Stevanus Ilham Wibowo, M. Daffa, Nadiev Owen, Raymond Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia PT. Impack Pratama Industri Tbk Jakarta Indonesia Mechanical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia

Many economically essential crops in Indonesia (such as coffee, tea, chocolate, or copra) require storage or drying under certain environmental conditions, especially temperature and humidity. The solar dryer dome, typically used for agricultural purposes in Indonesia, produces a sufficient amount of heat to increase the evaporation rate inside the dome and reduce the moisture content of the commodity. A hybrid solar dryer accompanied by a photovoltaic panel, fan, and ventilation system is generally suitable. The system can provide an optimum environment with minimum control. However, as the outdoor temperature and humidity change dramatically, such as at night time, more control is required. Based on Industry 4.0 technologies, we have developed a new kind of hybrid solar dryer that provides an optimum environment 24/7. The system, called Smart Dome 4.0, is an intelligent, low-cost, self-sufficient drying and storage system to support Indonesia Agriculture 4.0. The system has a local power generation unit to self-sustain the required energy and operate without connecting to the electricity grid. The system utilizes a machine-learning algorithm to predict the environmental condition and optimally uses self-generated electric power. The developed Smart Dome 4.0 technology is critical to producing a sustainable solar dome under drastic environmental dynamics. © Published under licence by IOP Publishing Ltd.

关键词： Learning algorithms

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Particle swarm optimization with local search for height-map surface reconstruction from point clouds in reverse engineering

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Neural Computing and Applications 2024年 1-20页

作者： Gálvez, Akemi Fister, Iztok Deb, Suash Fister, Iztok Iglesias, Andrés Dept. of Applied Mathematics and Computational Sciences E.T.S.I. Caminos Canales y Puertos University of Cantabria Avda. de los Castros s/n Santander39005 Spain Faculty of Pharmaceutical Sciences Toho University 2-2-1 Miyama Funabashi274-8510 Japan Faculty of Electrical Engineering and Computer Science University of Maribor Koroska cesta 34 Maribor2000 Slovenia IT & Educational Consultant Ranchi India Distinguished Professorial Associate Decision Sciences and Modeling Program Victoria University Melbourne Australia

Surface reconstruction is a classical process in industrial engineering and manufacturing, particularly in reverse engineering, where the goal is to obtain a digital model from a physical object. For that purpose, the real object is typically scanned or digitized and the resulting point cloud is then fitted to mathematical surfaces through numerical optimization. The choice of the approximating functions is crucial for the accuracy of the process. Real-world objects such as manufactured workpieces often require complex nonlinear approximating functions, which are not well suited for standard numerical methods. In a previous paper presented at the ISMSI 2023 conference, we addressed this issue by using manually selected approximation functions via optimization through the cuckoo search algorithm with Lévy flights. Building upon that work, this paper presents an enhanced and extended method for surface reconstruction by using height-map surfaces obtained through a combination of exponential, polynomial and logarithmic functions. A feasible approach for this goal is to consider continuous bivariate distribution functions, which ensures consistent models along with good mathematical properties for the output shapes, such as smoothness and integrability. However, this approach leads to a difficult multivariate, constrained, multimodal continuous nonlinear optimization problem. To tackle this issue, we apply particle swarm optimization, a popular swarm intelligence technique for continuous optimization. The method is hybridized with a local search procedure for further improvement of the solutions and applied to a benchmark of 15 illustrative examples of point clouds fitted to different surface models. The performance of the method is analyzed through several computational experiments. The numerical and graphical results show that the method is able to recover the shape of the point clouds accurately and automatically. Furthermore, our approach outperforms other alternati

关键词： Particle swarm optimization (PSO)

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Innovative web-based microteaching model: To improve the teaching skills of prospective informatics teachers in vocational high schools

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Social Sciences and Humanities Open 2025年 11卷

作者： Sugihartini, Nyoman Elmunsyah, Hakkun Nurhadi, Didik Rahmawati, Yuni Vocational Education Doctoral Program Post Graduate School Universitas Negeri Malang Malang Indonesia Informatics Education Study Program Department of Informatics Faculty of Engineering and Vocational Universitas Pendidikan Ganesha Bali Indonesia

Prospective informatics teachers in vocational schools (VS) must master content knowledge, pedagogical skills, and technology integration to achieve learning goals. Therefore, informatics teachers in VS need to innovate to increase students' creativity. However, many prospective informatics teachers experience difficulties in this regard. This research aims to develop and implement the Web-Based Microteaching (WBM) model to improve the teaching skills of prospective informatics teachers at VS. This study uses research and development methods with the ADDIE model approach. The research results show that the WBM model effectively improves prospective informatics teachers' teaching skills, especially in planning lessons and practising basic teaching skills. This innovation is a relevant learning solution in the digital era and positively contributes to the professional development of informatics teachers. The WBM model is an innovation to provide a more intensive and structured practical experience by utilizing web technology as the main media. Through web-based learning, prospective teachers can access material, exercises and feedback independently, which is expected to accelerate pedagogical mastery. © 2025 The Authors

关键词： Microteaching model Prospective informatics teacher Teaching skills Vocational high schools Web-based

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Automatic Transfer Function Improvement based on Genetic Algorithm 7

Automatic Transfer Function Improvement based on Genetic Alg...

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7th International Conference on engineering, Applied Sciences and Technology, ICEAST 2021

作者： Paenoi, Nattapong Sitjongsataporn, Suchada Mahanakorn Inst. of Innov. Faculty of Engineering and Technology Mahanakorn University of Technology Electrical Engineering Program Bangkok Thailand Mahanakorn Inst. of Innov. Faculty of Engineering and Technology Mahanakorn University of Technology Dept. of Electronic Engineering Bangkok Thailand

ISBN: (纸本)9781665441223

This paper presents the automatic transfer function improvement based on the genetic algorithm for searching the optimal transfer function. A traditional genetic algorithm is modified to perform the searching process. The proposed chromosome design is presented in the form of 15-bit supported the resistance and inductance. Transfer function is used to design and control the systems. The optimal fitness function is used for the objective function of system to optimize the transfer function. Experiment results show that the second order of automatic transfer function performed by the genetic algorithm can achieve more accuracy than the traditional first order transfer function process. By the process improvement using the genetic algorithm, the time is used for searching transfer function with the chromosome design under the optimal fitness function by the genetic algorithm is approximately 13.35 seconds. © 2021 IEEE.

关键词： Genetic algorithms

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The development of the model of influence of sociodemographic characteristics and disaster experience toward household preparedness for facing landslide in Bogor regency 2

The development of the model of influence of sociodemographi...

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2nd International Conference on Disaster and Management 2020, ICDM 2020

作者： Saputra, P.D. Rahmawati, C. Karuniakhalida, P. Purnomo, K.S.H. Larosa, E. Military Building Construction Engineering Study Program Faculty of Military Engineering Indonesia Defense University Bogor Indonesia Industrial Engineering Department Faculty of Industrial Technology Universitas Dirgantara Marsekal Suryadarma Jakarta Indonesia Mathematic for Education Program Faculty of Teacher Training and Education Universitas Riau Riau Indonesia Master of Management Program Universitas Teknologi Yogyakarta Yogyakarta Indonesia Mechanical Engineering Education Faculty of Teacher Training and Education Universitas Negeri Yogyakarta Yogyakarta Indonesia

Indonesia has a high tendency of having landslides. Bogor is one of regency which is very prone to landslide disaster due to high rainfall. Landslides are a very dangerous threat to public safety. The preparedness can build disaster resilient communities that can support the national resilience. Sociodemographic characteristic and disaster experience are determining factors for the success of preparedness. The purpose of this research is to develop a model of the influence of sociodemographic characteristics and disaster experience toward household preparedness for facing landslide. This research is done in Cibadak Village, Sukamakmur Bogor. This research uses a quantitative approach with 100 sample of households. Multiple linear regression technique is used for analyzing the model. The results of the research showed that household preparedness is significantly influenced by sociodemographic characteristics which is education (p = 0.000), meanwhile age, income and the number of family member don't significantly influence. Beside that the household preparedness is also greatly influenced by disaster experience too (p = 0.000). Education influence on household preparedness for facing landslide as much as 38.81% and the disaster experience is 52.85%. © Published under licence by IOP Publishing Ltd.

关键词： Disasters

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment 8

Analyzing the Behavioral Aspects of Implementing Green IT in...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Syamsuar, Dedy Triando, Fero Ulfa, Maria Antoni, Darius Mailangkay, Adele Witarsyah, Deden School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Universitas Bina Darma Postgradute Department Palembang Indonesia Universitas Bina Darma Information System Study Program Computer Science Faculty Palembang Indonesia Universitas Indo Global Mandiri Faculty of Computer Science Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350326093

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy. © 2023 IEEE.

关键词： Decision making

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Sadewa satellite remote sensing data to Manggarai 1-hour water level machine learning model 8

Sadewa satellite remote sensing data to Manggarai 1-hour wat...

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8th International Conference on Advanced Informatics: Concepts, Theory, and Application, ICAICTA 2021

作者： Valerian, Jonathan Raditya Rohmat, Faizal Kardhana, Hadi Kusuma, Muhammad Syahril Badri Yatsrib, Muhammad Institut Teknologi Bandung Master of Water Resources Management Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Research Group Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Engineering and Management Study Program Faculty of Civil and Environmental Engineering Bandung Indonesia

ISBN: (纸本)9781665417433

The Manggarai Water Gate is a measurement point strategically located to measure Jakarta's flooding magnitude that keeps increasing from year to year. The 2015s gate capacity improvement underscores this importance. This paper applies a machine learning model that utilizes an atmospheric approach to predict the Manggarai water level as output. In the process, optimization is done by comparing three spatial input sizes and performing a sensitivity analysis of the input variables. Using a simple recurrent sequence, the model can predict the water level with a coefficient of determination (R2) reaching 0.7 using 18-hour recurrent data. This study can be used as the basis for further development that can take satellite data lead time advantage that is crucial for the early warning system. © 2021 IEEE.

关键词： Water levels

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Parameters design optimization of grading ring based on electric field analysis through response surface methodology

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e-Prime - Advances in electrical engineering, Electronics and Energy 2024年 8卷

作者： Ahsan, Matiullah Baharom, Md Nor Ramdon bin Zainal, Zainab binti Khalil, Ihsan Ullah Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Malaysia Johor Batu Pahat Malaysia Department of Electrical Engineering Technology Faculty of Engineering Technology University Tun Hussein Onn Malaysia Pagoh campus Johor Malaysia Diploma Study Center University Tun Hussein Onn Malaysia pagoh campus Johor Malaysia NUST College of Electrical and Mechanical Engineering National University of Sciences and Technology Islamabad 44000 Pakistan

This research delves into the primary cause of the ageing of insulated cross-arms in the field, which is attributed to the high electric stress experienced at the end fittings. To address this issue, a novel technique is introduced to meticulously analyse the influence of Grading rings on the electric field (E-field) stress, with the goal of regulating it within the prescribed limits on the surface of the insulated cross-arm. By employing advanced methodologies such as finite element analysis and design of experiment approaches, the impact of various geometrical characteristics of Grading rings on the E-field is comprehensively investigated. Through the application of the analysis of variance, the primary and interaction effects of these factors are carefully examined. Additionally, leveraging the power of the response surface technique, an optimal link between the E-field and the geometrical parameters is modelled and optimized. The results of this comprehensive study unequivocally reveal the profound influence of the geometrical parameters of Grading rings on the E-field. Furthermore, diligent efforts are made to estimate the Grading ring parameters that will effectively regulate the E-field within the suggested maximum threshold based on the derived model. The proposed technique not only significantly reduces the computational analysis time but also serves as an efficient and invaluable tool for investigating the intricate geometry of Grading rings without imposing any additional computing burden. According to the findings, the E-field is most impacted by the factors H, D, and T to optimise the shape of grading rings used in insulated cross-arms. The main objective was achieved by reducing the maximum E-field value by 65% compared to the E-field without a grading ring, which has been accomplished. The suggested technique provides a quick and easy way to analyse and improve the intricate geometry of grading rings. As a result, it lowers the cost and time related t

关键词： Analysis of variance Design of experiment Electric field stress Finite element method Geometrical parameters Grading rings

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