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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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Emergency Position Reporting System for Border and Inland Areas with APRS Communication Mode

Emergency Position Reporting System for Border and Inland Ar...

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IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)

作者： Dananjaya Ariateja Ria Aprilliyani Herwin Melyanus Hutapea Edy Sulistyadi Muhammad Yasir Zain Amelia Chandra Pratiwi Faculty of Defense Science and Technology Universitas Pertahanan Republik Indonesia Bogor Indonesia National Defense Development Institute Universitas Pertahanan Republik Indonesia Bogor Indonesia Faculty of Engineering Universitas Madura Informatics Study Program Madura Indonesia

ISBN: (数字)9798331542016

ISBN: (纸本)9798331542023

Border and Inland areas are often faced with communication problems due to limited infrastructure and extreme geographical conditions. This research has produced three APRS-based communication system devices in border and inland areas that can be used to report emergency positions, namely Tracker, Digipeater, and Internet Gateway (IGate). Two APRS testing scenarios were conducted, namely sending beacons from Tracker and Ground Station, and sending beacons from Tracker, Digipeater, and Ground Station. The first scenario test results recorded a maximum distance of 2.36 kilometers (straight line) for sending and receiving information. Meanwhile, the second scenario test results can send and receive information with a maximum distance of 4.21 kilometers (straight line). This result confirms that the range of sending information signals using the digipeater device can expand the range of receiving information up to two times. Based on these results, the second scenario between Tracker, Digipeater, and Ground Station is more effectively used to increase communication coverage in border and inland areas.

关键词： Meters Logic gates Aerospace electronics Internet Reliability Remote sensing Testing

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Analysis of the Groundwater Table of Theis's Formula Through the Analytical and Numerical Methods Combination for Time-Lapse Microgravity Modeling

SSRN

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SSRN 2024年

作者： Lestari, Mutia Dyah Dahrin, Darharta Abdurrahman, Dadi Azhari, Naila Yuni Faculty of Mining and Petroleum Engineering Institut Teknologi Bandung Jalan Ganesa 10 Bandung40132 Indonesia Geophysical Engineering Study Program Institut Teknologi Sumatera Jalan Terusan Ryacudu Desa Way Hui Lampung Selatan Kecamatan Jatiagung 35365 Indonesia

Massive and continuous well pumping can result in significant groundwater table decline, potentially leading to groundwater depletion and land subsidence over the long term. The timelapse microgravity method, an innovation in gravity measurement techniques, is currently widely used in hydrological applications, including groundwater table monitoring. Groundwater pumping induces changes in subsurface mass distribution, resulting in subsurface mass anomalies that can be detected using gravity method. Many previous studies have employed the slab Bouguer approach to estimate gravity anomalies due to groundwater table changes. This method has significant error for detail anomaly value of groundwater table, which is high decline near production wells. According to Theis formula, the groundwater table decline model as drawdown cone (inverted cone), which gravitational field is calculated. Therefore, calculated gravity anomaly must account for the drawdown cone shape. In this study, gravity anomaly calculations for groundwater drawdown cones are resolved by integrating triple integrals using cylindrical coordinates both analytical and numerical methods. The analytical calculation of integrating triple integrals can only be resolved for two variables (variable z and [[EQUATION]]), and for [[EQUATION]] variable is calculated using numerical methods with the trapezoidal rule. By making the trapezoidal step smaller for closer the well, it is expected this calculation has smaller errors. This study aims to provide more accurate gravity anomaly calculations in accordance with the conceptual model of groundwater table changes. This technique can be used to help groundwater management where monitoring wells is insufficient. © 2024, The Authors. All rights reserved.

关键词： Microgravity

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Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis 7th

Mapping the Literature of Artificial Intelligence in Medical...

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7th International Conference on Inventive Communication and Computaional Technologies, ICICCT 2023

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

ISBN: (纸本)9789819951659

This study aims to investigate the use of artificial intelligence in health education in the last ten years from 2012 to 2022 using the Scopus database. Researchers use bibliometric analysis combined with the quantification method of Vosviewer and Rstudio software used for literature analysis. The results of the article that were flushed showed data such as the year of publication, journal, country, keywords, and authors, to the highest number of citations. The general keywords used by researchers are artificial intelligence, medical, and education. Researchers limit findings through keywords as in the last ten years and English only so that 1681 articles were obtained. According to the study's findings, McGill University affiliation had the greatest number of papers, with 69 pieces, and medicine had a proportion of 39.7% (n = 1067). This bibliometric study will be useful for other researchers to examine the development of research on artificial intelligence in health education in the last ten years. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Medical education

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Multidimensional factors of community behavioral responses and implications to landfill closures: A case study in Yogyakarta, Indonesia

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Environmental Advances 2024年 16卷

作者： Suhardono, Sapta Fitria, Laili Suryawan, I Wayan Koko Ulhasanah, Nova Sari, Mega Mutiara Septiariva, Iva Yenis Prayogo, Wisnu Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia 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 Taiwan Hualien 97401 Taiwan Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan Indonesia

This study examines how a community in Yogyakarta, Indonesia reacts to the closing of local landfills. It identifies different groups within the community, such as those primarily concerned with health and aesthetics, those exhibiting proactive behaviors, and those acutely aware of the broader impacts. These groups show varying responses to the closures, from adjusting personal habits to calling for policy changes. The findings suggest a need for policies that are flexible and considerate of the community's diverse priorities and behaviors. In conclusion, landfill closures have complex effects on communities that require a thoughtful analysis. The study shows that personal choices and proactive behaviors are crucial in encouraging community involvement in waste management. However, there's a hesitancy to pay more for such services, indicating a gap in community responsibility and environmental stewardship. The research advocates for sustainable waste management solutions that are aligned with the community's values and behaviors, urging policymakers to design inclusive and sustainable systems for waste management that support the long-term well-being of both the community and the environment. © 2024

关键词： Behavioral responses Community perceptions Indonesia Landfill closures Yogyakarta

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Human activities and forest fires in Indonesia: An analysis of the Bromo incident and implications for conservation tourism

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Trees, Forests and People 2024年 15卷

作者： Suhardono, Sapta Fitria, Laili Suryawan, I Wayan Koko Septiariva, Iva Yenis Mulyana, Rachmat Sari, Mega Mutiara Ulhasanah, Nova Prayogo, Wisnu Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia 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 Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan 20221 Indonesia

This study delves into the Bromo magnitude of the fire incident in Indonesia, a notable tourism destination, uncovering significant gaps in knowledge regarding tourist-induced forest fires. We comprehensively analyze the incident's environmental, economic, social, and tourism impacts. Environmentally, the fire caused severe damage to the region's ecosystems, upsetting ecological balances and diminishing air quality. This has far-reaching effects on flora, fauna, and the sustainability of natural resources. Forest fires release a significant amount of pollutants into the air, including carbon dioxide, carbon monoxide, particulate matter, and other harmful compounds. These pollutants can significantly degrade air quality, leading to health issues for humans and animals. The forest fire in the Bromo region of Indonesia had a profound impact, both economically and environmentally. The closure of the Bromo Tengger Semeru National Park drastically reduced tourism, leading to an 80 % drop in hotel occupancy and severe losses for local businesses like jeep rentals, eateries, and souvenir shops. Economically, this resulted in a significant decrease in Non-Tax State Revenue. Environmentally, the fire destroyed over 50 hectares of land, severely damaging the national park's ecosystems and affecting biodiversity. The smoke and heat from the fire also led to poor air quality and potential health risks for local residents, as well as adverse effects on nearby agriculture, increasing stress and anxiety in the community. The study emphasizes the urgent need for stringent regulations, effective community engagement, and educational initiatives in forest conservation areas, particularly those attracting tourists. Our findings offer critical insights for policymakers, local authorities, and stakeholders in the tourism sector, highlighting the necessity of balancing environmental protection with the growth of the global travel industry. © 2024 The Author(s)

关键词： Bromo incident Community engagement Conservation tourism Ecological consequences Environmental protection Forest fires Human-induced fires

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The factors influencing digital literacy of vocational high school teachers in Yogyakarta 2

The factors influencing digital literacy of vocational high ...

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2nd International Conference on Vocational Education of Mechanical and Automotive Technology, ICoVEMAT 2019

作者： Warno, K. Study Program of Fashion Engineering Education Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

The purpose of this study is to reveal the condition of teachers' digital literacy and the effect of the achievement motivation towards digital literacy among Tourism vocational teachers in Yogyakarta based on age generation, i.e the generation differences of Baby Boomers, X and Y. This research belongs to ex-post-facto with a quantitative approach. The research subjects were 130 teachers consisting of teachers from state tourism vocational schools in Yogyakarta. The results showed that the majority of digital literacy among tourism vocational teachers can be categorized as medium and the variable of achievement motivation plays a significant influence on digital literacy. Moreover, there was a significant influence from the facilities that were used by the teachers towards their digital literacy. Also, there were differences in teachers' digital literacy among teachers who were born in the baby boomers generation, X and Y generation. It means that the variable age generation of teachers can improve the digital literacy skills of vocational school teachers in the field of tourism. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Motivation

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Faults Identification of Induction Motor Based on Vibration Using Backpropagation Neural Network

Faults Identification of Induction Motor Based on Vibration ...

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2020 International Conference on Smart Technology and Applications, ICoSTA 2020

作者： Kuspijani, K. Watiasih, Richa Prihastono, Prihastono Bhayangkara Surabaya University Electrical Engineering Study Program Engineering Faculty Surabaya Indonesia

ISBN: (纸本)9781728130835

Vibration analysis is very important in predictive maintenance in the industry today. In this paper, has designed a vibration detection system that can identify the condition of the induction motor by online. Induction motor vibration data is read from two vibration sensors, accelerometer1 and accelerometer2, displayed using ATMEGA16 microcontroller and can directly identify the condition of the induction motor by using artificial intelligence-based analysis that is Backpropagation-Neural Network (B-NN). After testing, the system managed to perform fault identification induction motor with the rank of success of 95 percent. © 2020 IEEE.

关键词： Accelerometers

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Comparison of fracture toughness testing by the single edge v-notch beam and the surface crack in flexure method on silicon nitride 2

Comparison of fracture toughness testing by the single edge ...

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2nd Tarumanagara International Conference on the Applications of Technology and engineering, TICATE 2019

作者： Nindhia, Tjokorda Gde Tirta Study Program of Mechanical Engineering Faculty of Engineering Udayana University Jimbaran Bali Indonesia

This work is intended to compare the SEVNB and the SCF methods for fracture toughness testing. Both of the test methods are applied to a silicon nitride. Both methods are standardized and both have some minor shortcomings with respect to practicability and match of the theoretical description of the test situation with the actual test situation. SEVNB is easy to perform, but uses a notch of known depth (+ small micro-cracks of unknown size in front of a notch) instead of a crack, SCF uses a presumably residual stress-free indentation crack which is sometimes difficult to measure, not always semi-elliptical, as assumed to apply the evaluation formula, and may be accompanied by lateral cracks. Both methods will be analysed with respect to possible experimental errors. Variations of the SCF method are applied in order to examine how pre-cracks can be introduced which can be detected on the fracture surface. The geometry of the SCF-pre-crack is varied by applying different loads and by removing different amounts of material. The geometry of the Knoop pre-cracks system is investigated. The results help to identify conditions under which the SCF method can be used successfully to measure the fracture toughness of silicon nitride ceramics. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Silicon nitride

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Measuring the Complexity of EMG Signal by Using Fuzzy Approximate Entropy in Post-Stroke Patients Rehabilitation

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Journal of engineering Science and Technology Review 2021年第3期14卷 85-90页

作者： Rulaningtyas, Riries Prasetyo, Angga Bagus Rahmatillah, Akif Putra, Alfian Pramudita Rahma, Osmalina Nur Ain, Khusnul Pawana, I Putu Alit Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia Department of Physical Medicine and Rehabilitation School of Medicine Universitas Airlangga Dr. Soetomo General Academic Hospital Surabaya Indonesia

Stroke is one of world’s highest medical cases that cause physical or mental problem, even death. The treatment for overcoming stroke so far was by conducting rehabilitation or therapy. The therapy progress could be seen over the improvement indicated by stroke patients after participation in rehabilitation program. So far, the assessment of the level of development exhibited by stroke patients are still subjective. Meanwhile, Electromyograph (EMG) can be used as a quantitative method to evaluate the patient's improvement. The complexity of the EMG signal could define the progress of a rehabilitation process related to muscle function. One of the methods to calculate the complexity is fuzzy approximate entropy (fApEn). This study aims to propose fApEn as a quantitative method to evaluate the condition of stroke patients by comparing the complexity of the normal EMG, affected, and unaffected side limb of the patient's EMG signal. The value of fApEn on Subject 1 showed that the affected side obtained the complexity of 0.18141 and on the unaffected side of 0.80740. Subject 2 showed the complexity on the affected side of 0.58597 and the unaffected side of 1.02787, whereas the healthy subjects showed the complexity of 2.07856. The statistical results showed that the data were homogeneous and normally distributed. There was a significant difference between the results of fApEn on the affected side and the unaffected side. Thus, fApEn could be used as a quantitative method to determine the condition of muscle activity. © 2021 School of Science, IHU. All rights reserved.

关键词： Entropy

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