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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

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

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.

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The disruptive potential of importance-performance eduruption and transforming consumerism in single-used plastic reduction initiatives

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Cleaner and Responsible Consumption 2024年 14卷

作者： Suryawan, I Wayan Koko Fitria, Laili Ulhasanah, Nova Septiariva, Iva Yenis Prayogo, Wisnu Suhardono, Sapta Sari, Mega Mutiara Aji, Angga Dheta Shirajjudin Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan Indonesia Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Brawijaya University Malang 65141 Indonesia

In an era demanding sustainable consumption, the challenge of single-used plastic (SUP) remains significant. This study delves into the transformative capacity of the Importance-Performance Eduruption method to reshape consumerism and encourage SUP reduction. Drawing on binary choice models, we elucidated the determinants influencing students' willingness to participate in SUP reduction initiatives. Beyond the quantitative metrics, the study highlighted the deep-seated influence of educational methods. Applied learning strategies like Problem-Based and Project-Based Learning emerged as influential touchpoints, aligning students with sustainable habits. Simultaneously, the importance-performance analysis revealed areas needing immediate intervention, notably research-oriented methods. Our findings spotlight the influential role education plays in driving sustainable consumer behavior. By integrating importance-performance insights into curriculum planning and broader policy frameworks, stakeholders can more effectively harness the disruptive potential of education to further the goals of Sustainable Development Goal 12 and create a more sustainable future. © 2024 The Authors

关键词： Consumer behavior Educational Transformation Eduruption Importance-performance analysis SDG 12 Single used plastics Sustainable consumption

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The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis 24

The Scientific Progress and Prospects of Artificial Intellig...

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24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Maulana, Fairuz Iqbal Adi, Puput Dani Prasetyo Lestari, Dian Ariyanto, Sandy Vikki Purnomo, Agung Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia National Research and Innovation Agency Telecommunication Research Center Jakarta11480 Indonesia Universitas Airlangga Faculty of Medicine Surabaya60132 Indonesia University of Madura Informatics Engineering Study Program Pamekasan Indonesia Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia

ISBN: (纸本)9798350313956

Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years. © 2023 IEEE.

关键词： Diseases

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Diabetes Prediction Model for Better Clarification by using Machine Learning 6

Diabetes Prediction Model for Better Clarification by using ...

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6th International Conference on Inventive Computation Technologies, ICICT 2023

作者： Eben, J. Lysa Jayasudha, R. Ramya, S. Kaliappan, S. Aswal, Shobha Al-Salehi, Khalid Ali Salem Department of Computer Applications School of Computing Sciences Vels Institute of Science Technology and Advanced Studies Tamilnadu Chennai India Department of Mathematics Dr.N.G.P.Institute of Technology Coimbatore India Department of Computer Science and Engineering Kongu Engineering College Tamilnadu Erode India Division of Research and Development Lovely Professional University Punjab Phagwara144411 India School of Computing Graphic Era Hill University Dehradun India Biomedical Engineering Study Program Faculty of Science and Technology Airlangga University Surabaya Indonesia

ISBN: (纸本)9798350398496

Diabetes mellitus is one of the most pressing health concerns because so many people are afflicted by its disabling symptoms. Factors such as age, excess body fat, insufficient physical activity, a history of diabetes in one's family, a sedentary lifestyle, an unhealthy diet, hypertension, etc., all increase the likelihood of developing diabetes mellitus. Health complications are more common in people with diabetes, including cardiovascular disease, renal failure, stroke, blindness, and nerve injury. To validate a diagnosis of diabetes, hospitals typically perform a battery of procedures on the patient. Big data analytics has many vital applications in the healthcare sector. Numerous large computer systems are used in the healthcare sector. With the help of big data analytics, researchers can sift through mountains of data in search of previously unseen patterns and insights. Current techniques have a poor degree of precision in classification and forecast. While previous research has focused on factors such as glucose, body mass index, age, insulin, etc., the proposed model takes these into account and also the other factors that may be more relevant to the development of diabetes. The newer sample is superior to the older one based on categorization accuracy. A workflow algorithm for diabetes prognosis is also required to improve the accuracy. © 2023 IEEE.

关键词： Forecasting

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Density Based Spatial Clustering of Applications with Noise and Sentence Bert Embedding for Indonesian Utterance Clustering

Density Based Spatial Clustering of Applications with Noise ...

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2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Hasani, Muhammad Fikri Heryadi, Yaya Arifin, Yulyani Lukas Suparta, Wayan Bina Nusantara University BINUS Graduate Program Computer Science School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350320954

Task oriented chatbots are a sub-topic related to chatbots, where chatbots will perform certain tasks with specific goals. One part of creating a task-oriented chatbot is doing intent classification. Intent classification is a task of text classification. As in general text classification, the required dataset requires a label to carry out the classification process. To speed up and help the utterance analysis process, there is already a method, namely clustering, and Density-based clustering is a part of clustering that can determine cluster patterns based on arbitrary data, with DBScan as one of its algorithms. This research used 10000 client utterance data of awhatsapp based e-commerce conversation. SentenceBert also used as a state of art sentence embedding. This research yield silhouette score of 0.327 as the best result from eps of 0.1 and MinPts of 95. However, based on the cluster result, sentences labelled as noise can be further clustered. Text Preprocessing, text augmentation and sentence embedding techniques can be explored to increase the cluster performance. © 2023 IEEE.

关键词： Embeddings

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Investigation of availability,demand,targets,and development of renewable energy in 2017-2050:a case study in Indonesia

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International Journal of Coal Science & Technology 2021年第4期8卷 483-499页

作者： Erdiwansyah Erdiwansyah Mahidin Mahidin Husni Husin Nasaruddin Nasaruddin Khairil Khairil Muhammad Zaki Jalaluddin Jalaluddin Doctoral Program School of EngineeringUniversitas Syiah KualaBanda Aceh 23111Indonesia Department of Chemical Engineering Universitas Syiah KualaBanda Aceh 23111Indonesia Department of Electrical and Computer Engineering Syiah Kuala UniversityBanda Aceh 23111Indonesia Department of Mechanical Engineering Universitas Syiah KualaBanda Aceh 23111Indonesia Department of Accounting Universitas Syiah KualaBanda Aceh 23111Indonesia Faculty of Engineering Universitas Serambi MekkahBanda Aceh 23245Indonesia

Abundant potential of renewable energy(RE)in Indonesia is predicted to replace conventional energy which continues to experience depletion year by ***,until now,the use of RE has only reached 2%of the existing potential of 441.7 *** main overview of this work is to investigate the availability of RE that can be utilized for electricity generation in *** energy demand and targets in the long run during the 2017-2050 period are also ***,government policies in supporting RE development are considered in this *** results show that the potential of RE in Indonesia can be utilized and might replace conventional energy for *** use of RE for electricity generation can be achieved by employing a government policy that supports the investor as the executor of RE *** selling price of electricity generated from RE is cheaper than electricity generated from fossils;this makes economy is more affordable for ***,the target set by the government for utilizing RE as the main energy in Indonesia can be done by implementing several policies for the RE ***,greenhouse gas emissions and the use of petroleum fuels can be reduced.

关键词： Energy potential Energy demand Energy development Economic growth Energy policy Energy targets

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Regression Model for Optimum Solar Collectors' Tilt Angles in Libya 8

Regression Model for Optimum Solar Collectors' Tilt Angles i...

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8th International engineering Conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Nassar, Yasser F. Khozondar, Hala J. El- Abouhmod, Nasser M. Abubaker, Ahmed A. Ahmed, Abdussalam A. Alsharif, Abdulgader Khaleel, Mohamed M. Elnaggar, Mohamed El-Khozondar, Rifa J. Wadi Alshatti University Mechancal & Renewable Energy. Eng. Dept. Brack Libya The Islamic University of Gaza Electrical Eng. and Smart Systems Dept. Gaza Palestine Wadi Alshatti University Eng. Faculty Electrical and Electronic Eng. Dept. Brack Libya Bani Waleed University Mechanical Eng. Dept. Bani Waleed Libya Faculty of Engineering Johor Malaysia Karabu University Dept. of Electrical and Electronic Eng. Karabuk Turkey Palestine Technical College - Deir ElBalah Engineering Program Department Deir El-Balah Palestine Al-Aqsa University Faculty of Science Physics Departments Gaza Palestine

ISBN: (纸本)9798350300758

The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes. © 2023 IEEE.

关键词： Location

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IoT–based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor

IoT–based tire pressure monitoring system for air and tempe...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Agung Pangestu Iing Sodikin Muhammad Yusro Rum Sapundani Rosyid Ridlo Al Hakim Sinka Wilyanti Electrical Engineering Department Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia Department of Electronic Engineering Faculty of Engineering State University of Jakarta Jakarta Indonesia Electromedical Engineering Technology Faculty of Health Science University of Muhammadiyah Purwokerto Purwokerto Indonesia Graduate Program in Electrical Engineering Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia

ISBN: (纸本)9781665453905

Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1—the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2—the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-time via a smartphone using the IoT-based.

关键词： Temperature measurement Temperature distribution Thermometers Microcontrollers Tire pressure Real-time systems Pressure gauges

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The study of Sedimentation at Jongkong Reservoir in District Central of Bangka through Erosion of Catchment Area 4

The Study of Sedimentation at Jongkong Reservoir in District...

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4th International Conference on Science, Infrastructure Technology and Regional Development, ICoSITeR 2019

作者： Maini, Miskar Mashuri Civil Engineering Study Program Faculty of Infrastructure and Regional Engineering Institut Teknologi Sumatera Indonesia

Jongkong reservoir creates a reservoir of water that is used for the purposes of raw water as fundamental media for improvement of drinking water production especially at dry season for the District of Koba. The advantage of being able to hold water in wet season and releasing it in dry season will be detained if the life storage of the reservoir can be utilized effectively, but sedimentation problem will decrease its volume which can influence the life time of reservoir. Finally the reservoir becomes less effective, so it is very important to study. The method which is used to predict an average erosion rate in the catchment area considers factors of rain erosivity, soil erodibility, ground inclination of slope or slope length, management of crop and land, soil conservation. Calculation was done by using the USLE equation (Universal Soil Loss Equation) which was developed by Wischmeier and Smith (1965, 1978). From this research result, the prediction of surface erosion rate in the basin catchment area in the year 2019 is equal to 53.20 mm/year or equivalent with 62,491.92 m3/year, and the value of Sediment Delivery Ratio (SDR) is equal to 32,28 %. The number of material which eroded is equal to 957.59 Ton/Ha/year so it is classified into the medium erosion class category. The dead storage of 5% of the the volume of the reservoir cage will be fully charged in the year 2022 or for 3 The next year and the total volume of the reservoir Ridge will be full of sediment in the year 2062 or 43 years. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Reservoirs (water)

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Lighting the way: Enhancing telephone notification with DC lamps in noisy settings

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AIP Conference Proceedings 2024年第1期3167卷

作者： Priaji Hardimita Arief Wisaksono Syamsudduha Syarorini Jamaaluddin Jamaaluddin Shazana Dhiya Ayuni Electrical Engineering Study Program Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo Sidoarjo Indonesia

This study aims to develop a device that uses DC lamps as a notification of a telephone ringing in a noisy room. The research method involves observing the Cikande electronic ambassador shop and proposing the use of a DC lamp as a replacement for the speaker output of the telephone. The device includes a PNP transistor type as an amplifier and multiple LEDs to ensure visibility in a noisy environment. The result is a functional device that uses DC lamps to notify the ringing of a telephone in a noisy room. The implication of this research is that it provides a solution for situations where conventional ringing tones from telephones are not audible due to noise pollution. The device can be useful in various settings, including busy offices, factories, and public spaces.

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