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IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Syariful Ikhwan Adi Wibowo Budi Warsito Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia D3 Telecommunication Engineering Institut Teknologi Telkom Purwokerto Banyumas Indonesia Computer Science Informatics Department of Science and Mathematics Faculty Diponegoro University Semarang Indonesia Statistics Department of Science and Mathematics Faculty Diponegoro University Semarang Indonesia

ISBN: (数字)9781665460309

ISBN: (纸本)9781665460316

The increasing use of IoT devices on future networks is very helpful for humans in their lives. However, the increase in devices connected to IoT networks also increases the potential for attacks against those networks. Vulnerabilities in Internet of Things (IoT) networks can be exposed at any time. Artificial intelligence can be used to protect the IoT network by being able to detect attacks on the network so that they can be prevented. In this study, network detection was carried out using the Deep Neural Network (DNN) algorithm. The test was carried out using the UNSW Bot-IoT dataset with a comparison of training data of 75% of the overall data. The results obtained show the ability of the algorithm to detect attacks on average with 99.999% accuracy. The validation loss and training loss look very small. In this study, there is a validation loss that still occurs in overfitting, but the difference is very small.

关键词： Deep learning Training Satellites Neural networks Intrusion detection Training data Feature extraction

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Sustainable supply chain management in the logistics service industry: A systematic literature review in Indonesia

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AIP Conference Proceedings 2023年第1期2687卷

作者： M. Tirtana Siregar Teuku Yuri M. Zagloel Doctoral of Industrial Engineering University Indonesia Depok 16424 Indonesia Program Study management logistics for electronics industry Polytechnic APP Jakarta Indonesia Department of Industrial Engineering University Indonesia Depok 16424 Indonesia

Competition between goods delivery service providers is getting tougher due to the emergence of E-commerce along with the increase in new goods delivery service providers. With the emergence of intense competition between companies that exist today, companies must be able to provide the best and quality services. This study analyzes three sustainability factors to serve as a preference for the concept of sustainability for courier services. The hope is that goods delivery services can continue and develop in accordance with the development of modes and patterns of people’s buying and selling transactions. This study resulted that durability, cost, and quality of goods after shipment / delivery would be best recommended for the supply chain of goods delivery service industry in order to be taken as sustainable points. This study implied that durability, cost, and quality of goods after shipment / delivery would be best recommended for the supply chain of goods delivery service industry in order to be taken as sustainable points.

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Application of Geoelectrical Resisivity Method for Iron Sand Exploration in Ulakan Tapakis Padang Pariaman 4

Application of Geoelectrical Resisivity Method for Iron Sand...

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4th International Conference on Research and Learning of Physics, ICRLP 2021

作者： Octova, Adree Anaperta, Yoszi Mingsi Febriandika, Helio Gina Martinus, Herry Nazki, Admizal Razi, Pakhrur Putra, Amali Department of Mining Engineering Faculty of Engineering Universitas Negeri Padang Jl. Prof. Hamka Padang25131 Indonesia Department of Energy and Mineral Resources of West Sumatra Province Jl. Joni Anwar No.85 Kp. Lapai Nanggalo Padang25142 Indonesia Doctoral Program of Environmental Science Universitas Negeri Padang Jl. Prof Hamka Padang25131 Indonesia Center of Disaster Monitoring and Earth Observation Physics Department Universitas Negeri Padang Jl. Prof Hamka Padang25131 Indonesia Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Padang Jl. Prof Hamka No. 121 Padang25131 Indonesia

There is no doubt about the presence of iron sand around the west coast of West Sumatra. Several studies have been carried out, but in Ulakan Tapakis area is still under observation, and no investigation of its potential and distribution. One of the methods that can provide models and subsurface descriptions is using goelectrical resistivity method. The geoelectrical application in Ulakan Tapakis was used Wenner-Schlumberger array into 4 section. The section was designed perpendicular to the beach with a length of 47 meters for short lines and 470 meters for long line, the distance between sections was about 65 meters. The results obtained in the form of pseudosection types. Each section describes the distribution and lithology of rocks below the surface. The combination of all sections gives an overview of the iron sand model at Ulakan Tapakis. From the model obtained the results of geoelectrical measurements with the Wenner-Schlumberger array, the distribution of iron sand can be found along the coast of the study area at a depth of 0.7 m - 3 m in short line and 40 m in long line with resistivity values ranging from 52 - 289 ωm © Published under licence by IOP Publishing Ltd.

关键词： Lithology

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Shear wave velocity analysis for site classification of Tadulako University using microtremor measurements

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AIP Conference Proceedings 2023年第1期2719卷

作者： Icha Untari Meidji Nurhayati Pimpilemba Hendrik Leopatty Mauludin Kurniawan Mustafa Ahmad Harsano Jayadi Physics Department Universitas Negeri Gorontalo Gorontalo Indonesia Agency for Meteorology Climatology and Geophysics (BMKG) Class 1 Palu Indonesia Geophysical Engineering Department University of Tadulako Palu Indonesia Geological Engineering Study Program University of Tadulako Palu Indonesia Doctoral Program of Physics Department ITS Surabaya Indonesia

Shear wave velocity (Vs30) is one of the local condition parameters often used to determine buildings’ vulnerability to potential damage if an earthquake occurs. This parameter is essential for planning and evaluation in infrastructure development. Tadulako University, which is repairing the building and the layout of the campus area after the September 28, 2018 earthquake, needs to consider the parameters of the shear wave. Measurements of the Vs30 value have been carried out at 20 points spread across Tadulako University using the microtremor method. The value of Vs30 is then estimated to determine the classification of the surface soil. The results obtained indicate that the variation in value is not too significant; it is between 424 m/s – 530 m/s. This value is included in the C class site and has very dense soil and soft rock soil profile classification. The highest value is in the southwest part, and the lowest value is in the northeast part.

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3D Modelling of Iron Sand Using Geoelectrical Resistivity Method with Wenner Array in Ulakan Tapakis, Padang Pariaman, West Sumatra 4

3D Modelling of Iron Sand Using Geoelectrical Resistivity Me...

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4th International Conference on Research and Learning of Physics, ICRLP 2021

A studies using the resistivity method have been carried out to determine the potential of iron sand in Ulakan Tapakis West Sumatra. This study aims to establish the potential 3D modelling of iron sand. Wenner array is used to determine location of anomalies by taking 5 sections which has 180 meter length. The distance of the electrode used is 3.9 meters. Generally, Ulakan Tapakis has 3 main components of alluvial deposits, namely a layer of top sand (upper sand), middle sand, and a layer of iron sand which is divided into 2 layers, namely the bottom sand and the iron sand layer which has a resistivity value ranging from 9.53 -14135 ωm. These layers have different resistivity values depending on the constituent material. The existance of iron sand is located at depths of 0-6 meter below sea surface, with range of resistivity is 9.53-1000 ωm. © Published under licence by IOP Publishing Ltd.

关键词： Sand

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Improving student's complex problem solving through LAPS-Talk-Ball learning integrated with interactive games 10

Improving student's complex problem solving through LAPS-Tal...

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10th International Conference and Workshop on High Dimensional Data Analysis, ICW-HDDA 2020

作者： Asfar, A.M.I.T. Asfar, A.M.I.A. Sulastri, S. Department of Mathematics Education STKIP Muhammadiyah Bone Abu Dg.Pasolong Street No.62 Watampone Indonesia Doctoral Program Science Education Universitas Negeri Makassar Bonto Langkasa street Makassar Indonesia Department of Chemical Engineering State Polytechnic of Ujung Pandang Tamalanrea Makassar Indonesia Department of Economics Education STKIP Muhammadiyah Bone Abu Dg.Pasolong Street No.62 Watampone Indonesia

One of the competencies needed currently is non-routine competency in solving a complex problem. Students with complex problem solving will be able to identify the complex problem, understand to review related information, and create solutions for the problems. However, the improvement of complex problem-solving abilities lacks attention. This phenomenon occurs when students are given problem-solving, students have not been able to understand the problem, plan solutions, and provide solutions to problems. To overcome these problems, the LAPS-Talk-Ball learning model integrated with interactive games that guide the students in solving problems was implemented by using interactive games and speech balloons to stimulate each student to express their ideas. This research is quantitative experimental research to determine the success of the LAPS-Talk-Ball learning model integrated with android-based interactive games in training complex problem-solving students using saturated sampling and non-equivalent control group research designs. From the results of gain test results high improvement category, which means that the LAPS-Talk-Ball learning model integrated with android-based interactive games can train the complex problem-solving abilities of students. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Students

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Reinforcement to concrete bond strength: a comparison between normal concrete and various types of concrete

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Journal of Physics: Conference Series 2022年第1期2190卷

作者： R K Rohman S A Kristiawan H A Saifullah A Basuki Doctoral Degree Program in Civil Engineering Sebelas Maret University Surakarta Indonesia Civil Engineering Department Sebelas Maret University Surakarta Indonesia

This paper describes the bond strength comparison between concrete and reinforcement with several types of concrete. The types of concrete studied were normal concrete (NC), Self-Compacting Concrete (SCC), High-Volume Fly Ash Concrete (HVFAC), and High-Volume Fly Ash Self-Compacting Concrete (HVFA-SCC). Research data were obtained from previous studies. The data of concrete bond strength were obtained by testing the reinforced concrete beam with a lap splice in the tensile moment area. Bond strength values were normalized by dividing with the square root of concrete grade. Then use normalized data to formulate the relationship between the length of lap splice to diameter ratio (ls/db) and the normalized bond strength concrete for both normal concrete and SCC. From the obtained relationship, we can compare the bond strength between NC and SCC. The SCC bond strength is higher than NC. Bond strength of HFVAC and HVFA-SCC is also higher than NC and SCC, so that the use of HVFA-SCC can reduce the need for lap splice.

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Machine learning-based global air quality index development using remote sensing and ground-based stations

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Environmental Advances 2024年 15卷

作者： Anggraini, Tania Septi Irie, Hitoshi Sakti, Anjar Dimara Wikantika, Ketut Center for Environmental Remote Sensing Chiba University 1-33 Yayoicho Inage-Ku Chiba 263-8522 Japan Doctoral Program in Geodesy and Geomatics Engineering Faculty of Earth Science and Technology Institut Teknologi Bandung Bandung 40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung 40132 Indonesia Remote Sensing and Geographic Information Sciences Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung 40132 Indonesia

Air pollution refers to the presence of hazardous substances in the air that has adverse effects on health, causing millions premature deaths annually. Ground-based stations can provide accurate measurements for monitoring air pollution. However, the spatial coverage of air pollution measurements is limited by the number of measurement instruments available in specific hotspot areas. Satellite remote sensing can reduce spatial uncertainty;however, the measurement results are mostly limited to the upper atmosphere with high measurement sensitivity. To better represent surface conditions, this study aims to model the Air Quality Index for pollutants CO, NO₂, SO₂, PM_2.5, and PM₁₀ in the global region using remotely sensed data. To support this study, 425 data points from air pollution stations distributed globally are combined using Machine Learning Linear Regression methods. Furthermore, socioeconomic and environmental data are combined with air pollution satellite to form Multiple models. According to the results of this study, the Multiple Models are more accurate than the single models, showing that the addition of socioeconomic and environmental data can enhance accuracy. The results of this study are expected to help regions without air pollution monitoring stations to estimate the air quality index using satellite data, in turn, preventing air pollution disasters. © 2023 The Author(s)

关键词： Air pollution Air quality index Machine learning linear regression Monitoring stations Satellite

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Analog rice production using granulation, hot extrusion, and cold extrusion methods: An overview

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AIP Conference Proceedings 2023年第1期2667卷

作者： Heny Kusumayanti Siswo Sumardiono Bakti Jos 1Doctoral Program of Chemical Engineering Faculty of Engineering Universitas Diponegoro Tembalang Semarang Central Java 50275 Indonesia 2Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Tembalang Semarang Central Java 50275 Indonesia

Indonesia has fertile soil that enable abundant varieties of plants to grow including paddy (Oryza sativa L) which contains nutrients needed mainly by human body, i.e. milled rice contains 78.9% carbohydrate, 6.8% protein, 0.7% fat, and others of 0.6%. Paddy plants will produce paddy rice, i.e. paddy rice grains which have been separated from the husk. That peeled paddy grain is commonly called paddy rice or rice. Rice is a staple food for majority of people in Indonesia. The increase in rice production cannot actually correspond the rapidly increasing Indonesian population. Therefore, it is necessary to diversify non-rice food from other carbohydrate sources by conducting many alternative processes. This study attempted to investigate some methods to produce analog rice. Furthermore, this paper review aimed to find out the various processes of analog rice production and the best ingredient to make good quality analog rice. Analog rice is rice made of non-paddy plants, e.g. tubers, cereal, and other materials which may use granulation or extrusion (cold and hot process) methods. In granulation process, analog rice is produced in the form of granules. Starch flour and water produced by artificial rice are not in the form of grains that resembles pearl porridge. Meanwhile, extrusion is a method for producing analog oval-shaped rice which resembles paddy rice. In addition, analog rice produced from cassava flour and protein of fermented soybean cake flour using cold extrusion method. Results in the best composition with proximate analysis results of 73.53% carbohydrate, 18.97% protein, 3.19% fat, 1.87% water content, 2.44% ash content, and 0.15% food fiber. The absorption capacity of analog rice water in this study was 121.8%, and the other physical analysis was the bulk density of 0.59633%. Moreover, the time required to cook the analog rice produces was 7.1 minutes.

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The Hadamard gate cannot be replaced by a resource state in universal quantum computation

arXiv

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arXiv 2023年

作者： Jones, Benjamin D.M. Linden, Noah Skrzypczyk, Paul H. H. Wills Physics Laboratory University of Bristol BristolBS8 1TL United Kingdom School of Mathematics University of Bristol Fry Building Woodland Road BristolBS8 1UG United Kingdom Quantum Engineering Centre for Doctoral Training University of Bristol BristolBS8 1FD United Kingdom CIFAR Azrieli Global Scholars Program CIFAR Toronto Canada

We consider models of quantum computation that involve operations performed on some fixed resourceful quantum state. Examples that fit this paradigm include magic state injection and measurement-based approaches. We introduce a framework that incorporates both of these cases and focus on the role of coherence (or superposition) in this context, as exemplified through the Hadamard gate. We prove that given access to incoherent unitaries (those that are unable to generate superposition from computational basis states, e.g. CNOT, diagonal gates), classical control, computational basis measurements, and any resourceful ancillary state (of arbitrary dimension), it is not possible to implement any coherent unitary (e.g. Hadamard) exactly with non-zero probability. We also consider the approximate case by providing lower bounds for the induced trace distance between the above operations and n Hadamard gates. To demonstrate the stability of this result, this is then extended to a similar no-go result for the case of using k Hadamard gates to exactly implement n > k Hadamard gates. © 2023, CC BY.

关键词： Quantum computers

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