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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Agus Tri Putra, I.D.G. Septiadi, Wayan Nata Negara, Dewa Ngakan Ketut Putra Nindhia, Tjokorda Gde Tirta Refrigeration and Air Conditioning Study Program Department of Mechanical Engineering Politeknik Negeri Bali Bali Bukit Jimbaran80361 Indonesia Study Program of Doctor in Engineering Engineering Faculty Udayana University Bali Bukit Jimbaran80361 Indonesia

The growth of the metropolitan area has necessitated an increase in the demand for freshwater. One of the issues facing modern life is water treatment plant to supporting the communities. The approaches for treatment of the brackish water were carried out utilizing a wide range of technologies and technology. Many different technologies have been created recently to transform brackish water into freshwater using a variety of methods and equipment. One approach to produce extremely tiny water droplets is ultrasonic vibrating mesh. In this research, the performance of ultrasonic vibrating mesh has been investigated to purified the brackish water. This technique is similar to the distillation method in purification system of water traditionally. The evaluation of performance in this context has revolved around two key metrics: the rate of pure water production and the Total Dissolved Solids (TDS) levels. Notably, the TDS content of brackish water saw a significant reduction, di-minishing by approximately 50 ppm, while the resulting quality of the pure water averaged at 354.6 ppm. Concurrently, the flow rate of pure water output was measured at an impressive 4.3 grams per minute. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Distillation

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Analysis Geomorphic Flood Index in Determining Flood-Prone Areas in East Kalimantan Province, Indonesia

Analysis Geomorphic Flood Index in Determining Flood-Prone A...

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2024 Annual Conference, ASPRS 2024

作者： Virtriana, Riantini Amalia, Annisa Fitri Ihsan, Kalingga Titon Nur Anggraini, Tania Septi Harto, Agung Budi Deliar, Albertus Geospatial Information Science and Technology Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung40132 Indonesia Center for Remote Sensing Bandung Institute of Technology Bandung40132 Indonesia Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung40132 Indonesia Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung40132 Indonesia Universitas Pendidikan Indonesia Bandung40111 Indonesia Center for Spatial Data Infrastructure Bandung Institute of Technology Bandung40132 Indonesia

In 2022, there are 1,524 flood events out of a total of 3,531 disasters occurring in Indonesia. East Kalimantan Province ranked 20th among the 35 provinces in Indonesia with 28 flood occurrences in 2022, resulting in two fatalities. This highlights the urgent need for addressing flood hazard to prevent future casualties. There are some methods that can be used to determine the flood hazard in a region. In this research aims to identify flood-prone areas in East Kalimantan Province and evaluate the effectiveness of different mapping methods. The methodology that compares are the Pairwise Comparison method and Geomorphic Flood Index (GFI). The study's results provide flood-prone area maps of East Kalimantan Province using both methods, recommend the more efficient method for flood-prone area identification, and offer mitigation strategies based on the findings. This research is intended to serve as a reference for selecting the best method for identifying flood-prone areas and for informing policy decisions to mitigate flood impacts in East Kalimantan Province. © Author(s) 2025.

关键词： Hazards

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Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia

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Environmental Advances 2025年 19卷

作者： Virtriana, Riantini Ihsan, Kalingga Titon Nur Anggraini, Tania Septi Deliar, Albertus Harto, Agung Budi Riqqi, Akhmad Sakti, Anjar Dimara Remote Sensing and GIS Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung 40132 Indonesia Center for Remote Sensing Bandung Institute of Technology Bandung 40132 Indonesia Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung 40132 Indonesia Geographic Information Science Universitas Pendidikan Indonesia Bandung 40111 Indonesia Center for Spatial Data Infrastructure Bandung Institute of Technology Bandung 40132 Indonesia

Access to healthcare facilities is crucial in the present day. Healthcare facilities must be proportional to the population in a given area. Therefore, it is important to increase the number of healthcare facilities in regions where there is an imbalance. Proper planning and a sustainability review are necessary when determining locations for healthcare facilities. Environmental changes can affect the suitability of a location in the future. Thus, planning that can predict future suitability conditions is required to ensure that the built locations have high sustainability. This study predicts the suitability of healthcare facility locations in 2030 in West Java using remote sensing and Geographic Information System (GIS). Both static and dynamic data processed at 30×30 meter intervals across West Java will be used. Geospatial and remote sensing data are utilized in the study. Dynamic parameter extrapolation uses data from 2000 to 2018. The random forest machine learning method is employed to obtain the suitability values for healthcare facility locations using existing health facility training data in West Java. The results show changes in the suitability classes of healthcare facilities in each region from 2018 to 2030, with some areas experiencing an increase or decrease in class. This research highlights consistently suitable locations, ensuring their sustainability as healthcare facility sites. © 2024

关键词： GIS Health Facility Machine Learning Remote Sensing

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Calibration of base saturation flow rate at pretimed signal intersection utilizing Bayesian linear regression considering morning and evening peak hour observations 5

Calibration of base saturation flow rate at pretimed signal ...

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5th Aceh International Symposium on Civil engineering 2024, AISCE 2024

作者： Lulusi, L. Sugiarto, S. Saleh, S.M. Isya, M. Doctor of Engineering Program Study Universitas Syiah Kuala Banda Aceh Indonesia Department of Civil Engineering Universitas Syiah Kuala Banda Aceh Indonesia Universitas Syiah Kuala Banda Aceh Indonesia

Base saturation flow is a critical constraint used for evaluating the capacity of signalized intersections. The Indonesian Highway Capacity Manual (IHCM, 2023) is frequently used for signalized intersection planning in Indonesia. In heterogeneous traffic environments, the driver characteristics and behaviors exhibit significant variations. However, the base saturation flow was also influenced by traffic volume during the observation period. This study modeled the base saturation flow by analyzing differences in morning and afternoon peak hour data. The objective was to examine the base saturation flow at pretimed signal in Banda Aceh, with a focus on traffic volume fluctuations during peak hours. Four intersections were investigated in this study. Unmanned aerial vehicles were employed to record discharge flow pattern within targeted signalized intersection. Manual timing was conducted using stopwatches and geometric road data were collected through direct field measurements. Bayesian linear regression with a Gibbs sampling approach was utilized to recalibrate the saturation flow rate coefficients. The base saturation flow during the morning peak is 284 We, while in the afternoon peak, it is 285 We, with We representing the effective intersection approach. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Comparison of potential energy of solar radiation in rooftop modeling using different building levels of detail

Comparison of potential energy of solar radiation in rooftop...

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2023 Annual Conference, ASPRS 2023

作者： Ihsan, K.T.N. Sakti, A.D. Higuchi, A. Takenaka, H. Suwardhi, D. Wikantika, K. Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung Indonesia Graduate School of Science and Engineering Chiba University Chiba Japan Remote Sensing and Geographic Information Science Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung40132 Indonesia Center for Environmental Remote Sensing Chiba University Chiba263-8522 Japan

The potential for future energy crises is a problem the world is currently facing. Many countries are switching from fossil to renewable energy to prevent an energy crisis. One of the most developed renewable energy today is solar energy. Easy installation makes solar energy installation not only on a large scale but also on a home scale. Urban areas will be very suitable for building solar photovoltaic (PV) roofs due to minimal open areas. In installing rooftop solar PV, sound planning is needed to predict the energy potential that can be provided by solar energy on the rooftop of a building. Spatial modeling can be done to determine the energy potential and suitable location for rooftop solar PV installation. In building rooftop solar PV modeling, the level of detail of the building will affect the results of the model. The rooftop's shape and the building's height will affect the amount of solar radiation going into the building. However, the higher the level of detail of the building, the higher the cost and processing time will be. This study will review the differences in modeling the potential of rooftop solar PV using different levels of detail. This research will integrate solar radiation data from remote sensing to determine the energy potential of solar radiation and digital surface model data from photogrammetry to create a level of detail for buildings. Integration of solar radiation data and the level of detail of the building will use hillshade analysis. Hillshade analysis can review the shadow effect on the rooftop of a building which will be directly related to the potential of solar energy on the rooftop of the building. This study determines the energy potential on the rooftop of the building with different levels of detail, namely 0, 1, and actual shape, to determine the difference in energy potential in the three scenarios. Hopefully, this research will determine the best level of detail for modeling rooftop solar PV. The best model that can sho

关键词： Remote sensing

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Prompt analysis of condition priority for road improvement planning

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IOP Conference Series: Materials Science and engineering 2019年第1期527卷

作者： E Buchari D Oktaviansyah D D A P Putranto N Nawawi Engineering Sciences Study Program Doctor of Philosophy Program Engineering Faculty Sriwijaya University Indonesia

The need for quick analysis for road pavement survey is inevitable, especially in a developing country. A new data collection method by using small format photo, which is recorded by drone is developed. The function of drone is not only for photographic purposes, but also developed to measure and record road damage. Digital aerial photogrammetric methods are developed faster than before. A small format areal imagery based on pixel size is developed for this study, so that the degree of road damage can be obtained quickly. In order to obtain a maximum pixel size to detect a maximum damage level of 1 cm, the shooting is done at a height of 24 m drone from the road surface. The result of road damage measured by measuring distance through image is then tested based on the measured sample, directly in the field with a trust level of 97.83%. These results show that the accuracy of road damage measurements made above high resolution photo images is very effective for data collection of road damage. Analysis of Condition Priority can be obtained in one day in complement with contour map and road level, while in previous time it is done within a week without contour map and level.

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The Impact Perceived Desirability, Propensity to Act, and Perceived Feasibility Towards Technoprenurial Commitment Based on a Entreprenurial Event Theory

The Impact Perceived Desirability, Propensity to Act, and Pe...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Stefanus Rumangkit Aloysius Bagas Pradipta Irianto Antonius Satria Hadi Management Department BINUS Business School Doctor of Research in Management Bina Nusantara University Jakarta Indonesia Information System Department Faculty of Engineering Atma Jaya University Yogyakarta Indonesia Study Program of Entrepreneurship Faculty of Economy University of Widya Mataram Yogyakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

Technopreneurship represent a form of entrepreneurship that emphasizes entrepreneurial skills and technology. Studies on technopreneurship have been conducted, but research investigating antecedents of technopreneurship based on the entrepreneurial event model (EEM), is still limited. Most research on technopreneurship is dominated by the use of the theory of planned behavior (TPB). Therefore, this study aims to investigate the driving factors in EEM, namely perceived desirability, propensity to act, and perceived feasibility to technopreneurship intention. In addition, another purpose of this study is to explore technopreneurship intention towards technopreneurship commitment. To achieve this goal, the study used quantitative research design, primary data sources, and data collection methods using questionnaires. The sample in this study amounted to 240, with the sampling method using purposive sampling. Reliability, validity, and hypothesis testing using Smart-PLS software version 3. The results showed that perceived desirability affects technoprenurial intention, propensity to act affects technoprenurial intention, perceived feasibility affects technoprenurial intention, and technoprenurial intention affects technopreneurial commitment.

关键词： Industries Soft sensors Education Entrepreneurship Predictive models Data collection Sampling methods Software reliability Intelligent systems Testing

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The Effect of Data Augmentation on the Accuracy of Fish Species Classification Using Deep Learning

The Effect of Data Augmentation on the Accuracy of Fish Spec...

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International Conference on Informatics and Computing (ICIC)

作者： Ellya Helmud Catur Edi Widodo Oky Dwi Nurhayati Doctor Information System Postgraduate Diponegoro University Semarang Indonesia Faculty of Information Technology Information Systems Study Program Atma Luhur Institute of Science and Business Pangkalpinang Indonesia Physics Department Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Fish image classification presents an intriguing challenge in the field of computer vision. This research aims to develop an accurate classification model to differentiate between four different fish species using a convolutional neural network. The dataset used consists of $\mathbf{3 0 1 0}$ fish images, divided into training, validation, and testing sets. The convolutional neural network model was trained both with and without data augmentation. Evaluation results show that the model trained with data augmentation achieved an accuracy of $95 \%$ with a loss value of 0.0983, slightly better than the model without augmentation which achieved an accuracy of $94.56 \%$ with a loss value of $\mathbf{0. 1 7 9 4}$. This indicates that data augmentation techniques are effective in improving model performance, likely because augmentation helps the model generalize better to variations in fish image data. The results of this research demonstrate the significant potential of convolutional neural network for fish image classification tasks. The developed model can serve as a foundation for the development of computer vision-based applications such as automatic fish species identification in fisheries or educational applications. Further research can be conducted by exploring different convolutional neural network architectures, more advanced data augmentation techniques, and larger datasets to improve model performance.

关键词： Deep learning Training Accuracy Computational modeling Computer architecture Fish Data augmentation Data models Convolutional neural networks Image classification

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Alternative determination of customer classification of wastewater management services

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AIP Conference Proceedings 2024年第1期3110卷

作者： Ida Ayu Rai Widhiawati Ngakan Made Anom Wiryasa Dewa Ketut Sudarsana Kadek Diana Harmayani Doctor of Engineering Study Program Udayana University Denpasar Indonesia Department of Doctoral Program Faculty of Engineering Udayana University Denpasar Indonesia

To fulfill the operating and maintenance costs of waste water management in Bali, Bali Provincial Regulation No. 2 of 2011 concerning Public Service Retribution, where the manager began to collect wastewater levies starting from September 2011. However, from 2011 to 2021 there was still no change in rates. In real conditions, it was found that household customers and the lodging sector did not match the registered classification. The purpose of this research is to design a new customer classification and levy rates that can meet the needs for the operation and maintenance of centralized wastewater management. The results of this study found that 26.67% of households and 82.35% of non-star hotels were not by their classification. Two household alternatives and one alternative for the lodging sector were designed to increase equitable income for the community. The alternative category of household classification assessment uses an assessment category based on the type of house (design I) and income (design II). In the classification of the lodging sector, star hotels are divided into 4 & 5-star hotels, and 1 – 3-star hotels (design III). The results of the income for the first-third design increased by 33.68%; 25.25%; and 25.39%.

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Analysing the choice and pattern of needs of transportation mode for domestic tourists in Bali

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IOP Conference Series: Earth and Environmental Science 2021年第1期673卷

作者： I G N P Wiradnyana P A Suthanaya D M P Wedagama A A G A Yana D Dissanayake Doctor of Engineering Study Program Faculty of Engineering Udayana University Department of Civil Engineering Faculty of Engineering Udayana University School of Engineering Newcastle University Newcastle upon Tyne UK

Travel behaviour of domestic tourists concerning their choices of transportation mode has a significant role in managing traffic in the tourist destination. This study analyses the domestic tourists' choice and their pattern of needs of transportation mode in Bali as the case study. The developed models are based on utility maximisation of underlying preferences for each of the available modes of transport. Domestic tourists are randomly selected and interviewed using the questionnaire to record their daily trips. The study result indicates that income, number of visits and travel companions significantly influence the choice of transportation mode for domestic tourists. Meanwhile, income, number of visits, length of stays, trip purpose and main issues in selecting local transport mode significantly affect the pattern of needs of transportation mode for domestic tourists. For example, two accompanying persons will be three times more than that of seven persons or more to choose motorcycle and bus than a car. Domestic tourists who have visited Bali twice will be three times more than those who visited Bali once to use travel agents and rented vehicles than public and online transport and others. Further studies on short duration trips and sustainable mode of transport are suggested.

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