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Analysis on Calculation of Vehicle Operating Cost (VOC) before and after Flyover & Road Widening Operation at Gedangan Intersection in Sidoarjo Regency 3

Analysis on Calculation of Vehicle Operating Cost (VOC) befo...

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3rd International Conference on Science and Technology 2019, ICST 2019

作者： Wibisono, R Endro Mahardi, Purwo Program Study of Civil Engineering Engineering Faculty Universitas Negeri Surabaya Indonesia

The main road that connects the city of Sidoarjo to Surabaya is the intersection of Gedangan. By 2018 it has reached saturation by having a poor service level. More severe conditions will occur in the next 10-20 years. One of the government's efforts to overcome the problem of congestion, damage structure is the construction of flyover or other alternatives by widening the road. The purpose of this study is to determine the characteristics of the traffic and to save vehicle operating costs before and after the construction of a flyover at the Gedangan intersection. The method for predicting Vehicle Operating Costs (BOK) is to use PCI method. This study predicts Vehicle Operating Costs (BOK) to determine cost savings. The scenario for predicting BOK is that 80% of the vehicle volume will pass the Fly Over, and 20% still use the existing road. The results showed that the cost savings of Vehicle Operational Costs (BOK) of existing roads compared to the use of flyover in 2019 was IDR 15 Billion. In 2039 the savings are IDR 77 Billion. Another discussion is that if the road is only widened without flyover, then the BOK cost savings in 2019 will be IDR 4 Billion and in 2039 it will be IDR 27 Billion. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Operating costs

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On preparation of advance ceramic for single-edge V-notch beam fracture toughness test of ISO/FDIS 23146:2008(E) standards 2

On preparation of advance ceramic for single-edge V-notch be...

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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 Department Faculty of Engineering Udayana University Indonesia

With establishment of fracture toughness test for advance ceramic according ISO/FDIS 23146:2008(E) with the sample test of Single-edge V-Notch Beam/SEVNB, then the researcher related this activity should understand and able to realize how to prepare the sample of advance ceramic in order the requirements of the standard are fulfilled. In contrary with metals and polymers that usually easy to cut as the standard size for testing, the advance ceramics are found much more difficult to prepare since it is very hard and brittles. More even, specifically for fracture toughness test, the level of difficulty is added since the sharp initial crack should be introduced in the edge of the sample. This article introduce method on preparation of advance ceramic for the purpose of fracture toughness test completed with method to introduce the initial sharp V-notch crack which is valid and possible to be measured its length and diameter of the tip that yield valid result of fracture toughness test. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Fracture toughness

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Prediction of Consumer Purchase Intention on Green Product

Prediction of Consumer Purchase Intention on Green Product

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2021 International Seminar on Application for Technology of Information and Communication, iSemantic 2021

作者： Hariyadi, Guruh Taufan Purwanto Isnanto, R Rizal Wibowo, Adi Warsito, Budi Universitas Diponegoro Doctoral Program of Information Systems Semarang Indonesia Universitas Diponegoro Faculty of Engineering Department of Chemical Engineering Semarang Indonesia Universitas Diponegoro Faculty of Engineerig Department of Computer Engineering Semarang Indonesia Universitas Diponegoro Faculty of Science and Mathematics Departement of Informatics Semarang Indonesia

ISBN: (纸本)9781665428040

Education to the public on green products has been widely carried out. Consumers who buy green products can be profiled by segmenting green consumers. In green marketing, consumer education on sustainable consumption is increasingly needed in recent years due to the problem of environmental pollution which poses a serious threat to the world population. Concern for the environment is an important topic in most countries, and individuals also study environmental issues. Individuals or groups of individuals who are 'ecologically aware' are also referred to as 'green consumers.' Such consumers are considered to have more concern for the environment. This study examined the predictions on the effect of the Green Perceived Value variables consisting of functional, conditional, and social values on the purchase intention of green consumers. It also tested the comparisons with other classification models. The models used in this research were Random Forest, Decision Tree, and Neural Network.. © 2021 IEEE.

关键词： Consumer behavior

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A Comparative study of SnO2 Deposition Using Spray and Spin-Coating Technique for Electron Transport Layer of Inorganic Perovskite Solar Cells

A Comparative Study of SnO2 Deposition Using Spray and Spin-...

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International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

作者： Almas Shafwan Wilman Septina Natalita Maulani Nursam Xorell Ivanov Monov Prima Fitri Rusliani Shobih Adhi Kusumadjati Nunik Nurhayati Lia Yuliantini Physics Study Program Republic of Indonesia Defense University Bogor Indonesia Research Centre for Electronics National Research and Innovation Agency Republic of Indonesia Bandung Indonesia Master of Engineering Physics Faculty of Industrial Engineering Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9798350389920

ISBN: (纸本)9798350389937

Organic-inorganic halide perovskites have become notable for their efficiency in light harvesting. Nonetheless, the incorporation of organic cations like $\mathbf{M A}^{+}$and $\mathrm{FA}^{+}$presents stability challenges when exposed to environmental factors. This study explores the potential of replacing organic components with inorganic $\mathrm{Cs}^{+}$to enhance stability and efficiency in PSCs, focusing on CsPbBr 3 as the light harvester. We compare spin-coating and spray-coating techniques for depositing SnO 2 as the electron transport layer, revealing that spray-coating 7 cycles achieves higher PCE. Through detailed characterization, including UV-Vis, FTIR, SEM, I-V, and IPCE analyses, we optimized the manufacture of $\mathrm{SnO}_{2}, \mathrm{CsPbBr}_{3}$, and carbon deposition at room temperature, resulting in a PCE of $\mathbf{2. 2 1 \%}$ using the spray-coating process, demonstrating significant improvements over the spin-coating method.

关键词： Microwave antennas Vibrations Photovoltaic cells Radar Radar antennas Perovskites Stability analysis Telecommunications Thermal stability Electrons

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Analysis on vocational high school teacher competency gaps: Implication for VHS teacher training needs 2

Analysis on vocational high school teacher competency gaps: ...

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2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Wahyuni, D.S. Agustini, K. Sindu, I.G.P. Sugihartini, N. Informatics Engineering Education Study Program Universitas Pendidikan Ganesha81116 Indonesia

This study proposed a novel approach that integrates qualitative and quantitative methods to identify the competency gaps of VHS teachers in Vocational High Schools (VHSs). It comprised four research steps, namely (1) determining the ideal teacher competencies through Fuzzy Delphi technique, (2) arranging the competency priorities by using the analytic hierarchy process, (3) conducting VHS teacher performance evaluation by using a 360-degree rater, and (4) the competency gaps analysis using the IPA matrix. The sample members involved in this study were 7 experts from the industry, academia, and government, and 50 VHS teachers from several regencies in Bali Province, Indonesia. This study suggested that the gaps analysis between the existing VHS teacher competencies and the ideal ones include (1) the pedagogical competency - the low level of factual knowledge mastery in vocational knowledge and skills;(2) mastery in the application of contents;(3) mastery of content knowledge related to vocational teaching subjects;(4) networking and collaboration between the relevant industry and government;(5) continuous professional development;and (6) entrepreneurship. These findings imply that these needs of competencies should be the focus of teacher training programs for VHS teachers. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Personnel training

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Performance of 500 liter stainless steel portable biogas anaerobic digester with agitator designed for the tropical developing country 11th

Performance of 500 liter stainless steel portable biogas ana...

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11th International Conference on Materials and Manufacturing Technology, ICMMT 2020

作者： Sebayuana, Kadek Nindhia, Tjokorda Gde Tirta Surata, I. Wayan Nindhia, Tjokorda Sari Shukla, Shailendra Kumar Khanal, Samir Kumar Master student at Ma ster Study Program of Mechanical Engineering Engineering Faculty Udayana University Jimbaran Bali80361 Indonesia Study Program of Mechanical Engineering Engineering faculty Udayana University Jimbaran Bali80361 Indonesia Faculty of Veterinary medicine Udayana University Denpasar Bali802232 Indonesia Departmen of Mechanical Engineering IIT Banaras Hindu University Varanasi221005 India Dept. of Molecular Biosciences and Bioengineering University of Hawaii at Manoa HonoluluHI96822 United States

ISBN: (纸本)9783035737226

This document it is established that 2 types of biogas anaerobic digester that usually found in developing country. First type is fixed dome type of anaerobic digester and secondly is floating drum biogas anaerobic digester. Both of this type have draw back that the anaerobic process is not completed with agitation process that yield low rate of biogas production. Other serious problem is the release of slurry cannot optimal. Some of the slurry will still remain stay in the anaerobic digester especially scum. To drain and cleaning the fixed dome or floating drum biogas anaerobic digester is mandatory to be done regularly that consume time and cost. The fixed dome types as well as floating drum type are usually not portable which cause no possibility to relocate in the new site. It is the purpose of this work to introduce portable biogas anaerobic digester that suitable for developing country with volume of digester around 500 liter of slurry. The requirement of agitator is facilitated, and the anaerobic digester is possible to be operated in batch system or continuous system. The material that is used for anaerobic digester is stainless steel 304 with tungsten inert gas welding technology that is used for the manufacturing. With this design the anaerobic digester are easy to be maintenance. The batch system can keep producing biogas until 52 day with total production of biogas around 3320 liters. The continuous system was conducted by releasing for about 5 liters slurry from the outlet and after that filled with new slurry with stirring with agitator was conducted for about 10 minutes for 3 times in a day (morning, noon, and evening). The result for continuous system is a linear biogas production with rate biogas production is around 51.7 liter/day (1550 liter/30days). © 2021 Trans Tech Publications Ltd, Switzerland.

关键词： Biogas

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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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Method on utilization of low quality biogas as a fuel for 4 stroke spark ignition engine of electric generator 11th

Method on utilization of low quality biogas as a fuel for 4 ...

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11th International Conference on Materials and Manufacturing Technology, ICMMT 2020

作者： Negara, I Gede Artha Nindhia, Tjokorda Gde Tirta Surata, I. Wayan Nindhia, Tjokorda Sari Shukla, Shailendra Kumar Master Student at Study Proram of Master in Mechanical Engineering Udayana University Denpasar Bali80361 Indonesia Study Program of Mechanical Engineering Engineering faculty Udayana University Jimbaran Bali80361 Indonesia Faculty of Veterinary Medicine Udayana University Denpasar Bali80113 Indonesia Departmen of Mechanical Engineering IIT Banaras Hindu University Varanasi221005 India

ISBN: (纸本)9783035737226

Biogas quality in many installation of anaerobic digester for processing organic waste are found not optimum, especially in developing country where understanding of anaerobic processing is not well known. The methane content in the biogas are usually low that make it not possible to be utilized as a fuel of the engine. Biogas Purification usually will be introduced as a solution. But this idea is about complicated for simple or small anaerobic digester. Other solution is suggested by using enrichment of biogas by using other fuel such as hydrogen or blended with city gas such as LPG gas. But for preparing hydrogen gas or commercial will also costly. This research introduces simple technique for biogas enrichment by using denatured alcohol. The biogas contents were found around 30% vol. methane (CH4) and around 2% Carbon dioxide (CO2). The price of denatured alcohol is relative cheap because the selling tax is not as much as drinking alcohol. Engine with bigger combustion (420 cc) chamber was prepared for this purpose to make possible to be fuelled with biogas. The compression was set to reach 10 bar. The clearance of the both intake and exhaust valve was set in order to be possible to be running by using biogas. The biogas-air mixer was design for this purpose. The carburetor was set for use of denatured alcohol. It is found that the engine is running well by using biogas fuel that is enriched by using denatured alcohol. The emission was found better comparing using gasoline for the same engine. The fuel consumption is reported for future economic analyses. © 2021 Trans Tech Publications Ltd, Switzerland.

关键词： Carbon dioxide

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A study on Medicinal Plant Leaf Recognition Using Artificial Intelligence 3

A Study on Medicinal Plant Leaf Recognition Using Artificial...

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3rd International Conference on informatics, Multimedia, Cyber, and Information System, ICIMCIS 2021

作者： Ayumi, Vina Ermatita, Ermatita Abdiansah, Abdiansah Noprisson, Handrie Purba, Mariana Utami, Marissa Universitas Sriwijaya Doctoral Program in Engineering Palembang Indonesia Universitas Sriwijaya Faculty of Computer Science Palembang Indonesia Universitas Mercu Buana Faculty of Computer Science Jakarta Indonesia Program of Informatics Management Politeknik Anika Palembang Indonesia Muhammadiyah University of Bengkulu Faculty of Engineering Bengkulu Indonesia

ISBN: (纸本)9781665427333

Medicinal plant recognition manually takes a lot of time and money. Moreover, to reduce these resources, some researchers propose to implement artificial intelligence technology. This paper aims are to conduct a systematic literature review of medicinal plant leaf recognition published in the last two years (2019-2020) from IEEE, Springer and Science Direct. We obtained 15 studies in the field of medicinal plant leaf recognition using artificial intelligence. The dataset used for medicinal plant leaf recognition is mostly used private dataset, however, there are public dataset named Leaf, Flavia, Swedish dataset. We also found robust method that can be used for medicinal plant leaf recognition is Multichannel Modified Local Gradient Pattern (MCMLGP) and Gray Level Co-Occurrence Matrix (GLCM) as feature extraction;and Convolutional Neural Network (CNN), Multi-Layer Perceptron trained with Backpropagation algorithm (MLP-BP), Support Vector Machine (SVM), and Transfer Learning (VGG19) as classifier. © 2021 IEEE.

关键词： Image processing

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A study on Text Feature Selection Using Ant Colony and Grey Wolf Optimization 7

A Study on Text Feature Selection Using Ant Colony and Grey ...

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7th International Conference on informatics and Computing, ICIC 2022

作者： Widians, Joan Angelina Wardoyo, Retantyo Hartati, Sri Universitas Gadjah Mada Doctoral Program Dept. of Computer Science and Electronics Indonesia Universitas Mulawarman Faculty of Engineering Dept. of Informatics Samarinda Indonesia Universitas Gadjah Mada Faculty of Mathematics and Natural Sciences Dept. of Computer Science and Electronics Yogyakarta Indonesia

ISBN: (纸本)9798350345711

Text classification (TC) is widely used for organizing digital documents. The issues in TC are numerous characteristics and high-element dimensions. Many pattern classification issues require feature selection (FS), which is pertinent. FS removes unneeded and redundant data from the dataset. The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) for FS are the main topics of our thorough assessment of the literature on the Swarm Intelligence (SI) algorithm. Furthermore, it illustrates how the hybrid SI technique is used in FS across various sectors. The hybrid SI technique uses applicable data from various FS methods to find feature subsets with smaller sizes and better classification performance than those found by regular FS algorithms. © 2022 IEEE.

关键词： Ant colony optimization

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