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International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： Bruno Da Silva Alves Lucas Mello Schnorr Graduate Program in Computer Science (PPGC) Institute of Informatics – UFRGS Porto Alegre Brazil

Adaptive Mesh Refinement (AMR) is a widely known technique to adapt the accuracy of a solution in critical areas of the problem domain instead of using regular or irregular but static meshes. The MARE2DEM is a parallel application that employs the AMR technique to model 2D electromagnetics in oil and gas exploration. The modeling consists in iteratively applying a data inversion based on a set of measurements collected and registered by a survey on an area of interest. The parallelism of the MARE2DEM works by dividing the workload into a set of refinement groups that represent overlapping areas of the problem domain. Each refinement group can be computed independently of the others by a set of workers, carrying out the AMR in the meshes when necessary. The shape and compute performance of the refinement group depend directly of a set of user-defined parameters. In this article, we provide a method to estimate the MARE2DEM performance for all possible values that can be used in the influencing parameters of the application for a given case study. Our relatively cheap method enables the geologist to configure MARE2DEM correctly and extract the best performance for a given cluster configuration. We detail how the method works and evaluate its effectiveness with success, pinpointing the best values for the creating refinement groups using a real case study from the Marlim field on the coast of Rio de Janeiro, Brazil. Although we demonstrate our evaluation with this scenario, our method works for any input of MARE2DEM.

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Energy Planning and Utilization in the North Sulawesi Electricity System

Energy Planning and Utilization in the North Sulawesi Electr...

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2023 International Conference on Electrical Engineering and informatics, ICEEI 2023

作者： Pratama, Arif Majiid Nusa Sutardi, Bagas Maulana Zidny, Irfan Lewi, Irvan Hasanuddin Hidayat, Syarif Hadi, Pradita Octaviandiningrum Pln Corporate University Graduate Program PLN-ITB Jakarta Indonesia Pln UIP3B Sulawesi Makassar Indonesia Bandung Institute of Technology School of Electrical and Informatics Engineering Bandung Indonesia

ISBN: (纸本)9798350381290

Energy sector is one of the contributors to climate change besides forestry, environment, and transportation sectors. Then, the results of the COP 26 in Glasgow meeting states that Indonesia have a target to achieve Net Zero Emission (NZE) by 2060 if there is international support for funding and technology with some note that this project does not interfere with availability and affordability. In achieving the zero-emission target, the government is implementing five main principles, which include increasing the use of new renewable energy (NRE), reducing fossil energy, explore the use of electric vehicles in the transportation sector, increasing the use of electricity in households and industries, and utilizing Carbon Capture and Storage (CCS). In this paper several proposals can be made to further reduce production costs and reduce greenhouse gas emissions in the North Sulawesi system compared to Electricity Supply Business Plan by PLN which is called RUPTL. Two additional scenarios can be used for the proposal, which are addition of geothermal, solar and pump hydro to replace coal power plant and construction of North Sulawesi interconnection with Central Sulawesi. From the simulation results of the cost and carbon emission analysis between three scenarios, the scenario from RUPTL is the cheapest in terms of cost at 3.295 billion USD and the interconnection scenario is the smallest in terms of emissions, with CO2 emissions reaching 0 Mt. © 2023 IEEE.

关键词： Climate change

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Citrus Limon L. Ripeness Identification Using Feature Extraction of Mean RGB, HSV, LBP and K-Nearest Neighbor

Citrus Limon L. Ripeness Identification Using Feature Extrac...

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2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

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

ISBN: (纸本)9798350339215

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%. © 2023 IEEE.

关键词： Citrus fruits

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Deep neural network ensembles for remote sensing land cover and land use classification

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International Journal of Digital Earth 2021年第12期14卷 1868-1881页

作者： Burak Ekim Elif Sertel Institute of Informatics Satellite Communication and Remote Sensing ProgramIstanbul Technical UniversityIstanbulTurkey Department of Geomatics Engineering Istanbul Technical UniversityIstanbulTurkey

With the advancement of satellite technology,a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use(LCLU)classification task aiming to categorize remotely sensed images based on their semantic ***,Deep Neural Networks(DNNs)have been widely used for different applications in the field of remote sensing and they have profound impacts;however,improvement of the generalizability and robustness of the DNNs needs to be progressed further to achieve higher accuracy for a variety of sensing geometries and *** address this problem by deploying three different Deep Neural Network Ensemble(DNNE)methods and creating a comparative analysis for the LCLU classification *** enables improvement of the performance of DNNs by ensuring the diversity of the models that are ***,enhances the generalizability of the models and produces more robust and generalizable outcomes for LCLU classification *** experimental results on NWPU-RESISC45 and AID datasets demonstrate that utilizing the aggregated information from multiple DNNs leads to an increase in classification performance,achieves state-of-the-art,and promotes researchers to make use of DNNE.

关键词： Classification convolutional neural networks(CNN) deep neural network ensembles(DNNE) land cover and land use(LCLU) remote sensing

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Spatial Distances and Knowledge Acquisition Strategy for Patenting by Indonesian Academic Inventors 5

Spatial Distances and Knowledge Acquisition Strategy for Pat...

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5th International Conference on Advancement in Data Science, E-Learning and Information Systems, ICADEIS 2023

作者： Arimbawa, I Wayan Agus Wedashwara, Wirarama Gelana, Kassahun Fauzi, Rahmat Iskandar, Ade Rahhmat University of Mataram Dept. of Informatics Engineering Mataram Indonesia Seoul National University Technology Management Economics and Policy Program Seoul Korea Republic of Telkom University School of Industrial and Systems Engineering Indonesia

ISBN: (纸本)9798350303414

Knowledge acquisition is important for innovation and adaptation of organizations including universities. New knowledge and capabilities can be acquired from inside or outside of the institution. There are large body of literature discuss the interaction of universities and the other Triple-helix model's agents, but rarely found and discuss intra helices interactions. This research explores the characteristics of Indonesian academic inventors' knowledge acquisition strategy for patenting in Indonesia. There are two points of view of this research: firstly, the study discusses the knowledge acquisition strategy of Indonesian universities in regard of the knowledge diversity among two collaborating universities and secondly, how is the magnitude of knowledge gaps between two entities influencing the decision for inhouse or out of university *** the data from Sinta, knowledge diversity index is measured using Shannon entropy index of the academic inventor' expertise, university's department, and university's division. The research recognition's gap between two collaborating inventors is measured using the difference of their Scopus' h-indices. The findings show some interesting facts of how academic inventors strategize their collaboration patterns. First, interuniversity collaborations for patenting reveal more diversity on the academic inventors' knowledge than those are in intra-university collaborations. Second, collaborations for patenting with different universities expect better knowledge spill-overs than collaborations within a university. But, this knowledge spill-over only significant at individual level but not at institutional level. It seems that individual recognition is more important than institutional recognition when choosing a collaboration partner. © 2023 IEEE.

关键词： Knowledge acquisition

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"CoVid" Analysis using Online-Based Problem-Solving Approach on informatics Mathematics Subject 4

"CoVid" Analysis using Online-Based Problem-Solving Approach...

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4th International Conference on Statistics, Mathematics, Teaching, and Research, ICSMTR 2021

作者： Ashari, N.W. Salwah Ma-Rufi Informatics Study Program Universitas Cokroaminoto Palopo Indonesia Mathematics Education Study Program Universitas Cokroaminoto Palopo Indonesia

During the COVID-19 pandemic, lecturers carry out online learning and this condition also force student to learn independently. One alternative solution given is online-based problem-solving approach. This approach are suitable implemented in the mathematics informatics course. The Approach challenges students to be able to express every result of thinking, transform information into various forms of representation, as well as the ability to adapt to online learning during this pandemic. This research is case study research that aims to analyse the Communication Skills, Visual thinking, and Adaptability (COVid) of students in the mathematics informatics course through Online-Based Problem-Solving Approach. This course examines combinatorics and pigeon holes principle. This lesson is useful in the context of making software that requires certain calculations and logic. The subjects of this study were second semester students of the 2020/2021 academic year at the informatics Study program at Univeritas Cokroaminoto Palopo. Data was collected by using assignments, questionnaires, and interviews to obtain valid data. The results show that only a few students are able to express every result of thinking, transform information into various forms of representation, as well as the ability to adapt to online learning during this pandemic. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Students

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Kano Model Analysis of Android Apps Quality from End User's Preferences 3

Kano Model Analysis of Android Apps Quality from End User's ...

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3rd International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2020

作者： Putra, R.A.S. Priyanto Electronics and Informatics Engineering Education Postgraduate Program Yogyakarta State University Indonesia

This study aimed to explore the end user's preferences regarding the features of an android app by classifying them with the Kano Model. The list of features was based on ISO/IEC 25010 combined with Android Core App Quality Guidelines. This expert system android app which is named 'Pilih Media' is used to help teachers selecting learning media based on Anderson's theory of learning media selection. Respondents in this study were 50 teachers. Kano model was used in this study as a guideline in making questionnaires and also analyzing the data. From the study, it can be concluded that there are 17 features classified as the Attractive requirement category, six features classified as One-dimensional category, one feature classified as Must-be category, and five features classified as the Indifferent category. Overall, it seems that a lot of features have the potential to increase the end user's satisfaction. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Expert systems

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Learning Analytics to Identify the Socio-affective Scenarios in a Virtual Learning Environment 9th

Learning Analytics to Identify the Socio-affective Scenarios...

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9th International KES Conference on Smart Education and e-Learning, SEEL 2022

作者： Akazaki, Jacqueline Mayumi Machado, Leticia Rocha Behar, Patricia Alejandra Post Graduate Program in Informatics in Education Federal University of Rio Grande do Sul Porto Alegre Brazil Post Graduate Program in Education Federal University of Rio Grande do Sul Porto Alegre Brazil

ISBN: (纸本)9789811931116

A growing number of virtual courses are being offered by Brazilian educational institutions, requiring the development of technological resources and research to assist in Distance Education (DE) teaching and learning processes. Analysis of students’ socio-affective profiles in Virtual Learning Environments (VLE) enables possibilities to develop methodologies and resources to better understand them. The Social Map (SM) and Affective Map (AM), both features of the Cooperative Learning Network (in Portuguese: ROODA), provide inferences and graphic presentations of students’ socio-affective profiles. This article aims to identify the possible recurrent socio-affective scenarios in a VLE utilizing Learning Analytics (LA). LA is defined as the measurement, collection, and analysis of data. The qualitative and quantitative research approach used in this work was carried out based on 10 case studies. The target audience was 219 students including undergraduate, graduate, teachers, and elderly people who participated in teaching activities at a university. Data collected from the SM and AM were extracted in order to identify the relationship between these two aspects. As a result, 38 socio-affective scenarios were created using LA to contribute to the analysis of the students’ learning profiles, allowing teachers to develop pedagogical strategies consistent with the needs of each individual. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Designing knowledge sharing systems to support integrated eco-city planning and management 5

Designing knowledge sharing systems to support integrated ec...

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5th International Seminar on Sustainable Urban Development, ISoSUD 2020

作者： Supriana, C.E. Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

The local government of a city as an organization depends on decision makers in government management to support the vision and mission of the city to achieve eco-city goals based on data and information from several knowledge domains. Knowledge management is seen as an increasingly important scientific discipline that encourages the creation, sharing and utilization of knowledge in an organization. Knowledge management is also related to the concept of intellectual capital, the most valuable organizational resource. Knowledge sharing systems are designed to help decision makers and stakeholders share their knowledge. Most knowledge management systems in organizations are designed to share the explicit knowledge of individuals, organizations and finally distributed to the community. This research is the approach in the development model that can be used in the governance to achieve eco-city goals. Complex knowledge about eco-cities requires policies that are based on current knowledge and can be implemented immediately with a thorough understanding of all aspects. The results of this study are understanding the problem of knowledge sharing as a valuable organizational asset, designing a knowledge sharing systems model, and improving systems to improve the quality of knowledge. © Published under licence by IOP Publishing Ltd.

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Internet of Things-based Hydroponic: Literature Review 4

Internet of Things-based Hydroponic: Literature Review

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4th International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2021

作者： Hadinata, Alan Mashoedah Graduate Program of Electronics and Informatics Engineering Education State University of Yogyakarta Indonesia

Hydroponics is a method of growing crops without using soil, with the benefits of controlling the environment and nutrients, conserving water, and reducing labor. The applied technology is used to improve results that have consistency. This research was conducted with the aim of knowing the IoT devices and platforms used in the development of IoT-based hydroponics. Data obtained from the website *** and *** from 2016 to 2021. This study is a literature review using the PRISMA method. This method is used for literature review using a systematic and structured basic framework. The results of this study indicate that the variables measured are Temperature, Potential Hydrogen (pH), Total Dissolve Solid, Water Temperature, Humidity, UV, Carbon Dioxide, Soil Moisture and Electrical Conductivity. The device used is the ESP8266, Arduino, and Raspberry PI with the MySQL, Thingspeak, Firebase, Domoticz, and Wyliodrin IoT Platforms. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Hydroponics

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