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A Comparative Study of Load Balancing Methods in Cloud-Based Village Information Systems 7

A Comparative Study of Load Balancing Methods in Cloud-Based...

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7th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2023

作者： Wibowo, Bagus Haq, Abdul Zein, Mochamad Taufiqurrochman Abdul Aziz Unu Al Ghazali Program Studi Informatika Cilacap Indonesia Unu Al Ghazali Program Studi Sistem Informasi Cilacap Indonesia

ISBN: (纸本)9798350382266

Internet usage has been steadly increasing, with many needs or information that must be sought. The problem that is often experienced when many visitors access a website is that the server acting as a web server is unable to handle requests so services cannot be processed. This can be handled using the load balancing method using HAProxy. A web-based application certainly requires an adequate server computer so that the application can run properly. Cloud computing has emerged as a new trend that promotes efficient resource utilization and optimal server infrastructure utilization. Presently, numerous cloud computing platforms are offered, one of which is Amazon Web Services (AWS). In this research, several stages were carried out, starting from literature study, software design, testing stages and analysis of the results of testing data, drawing conclusions, and finishing. In designing cloud infrastructure, researchers created three services on AWS including EC2 (Elastic Cloud Compute), RDS (Relational Database Service), and VPC (Virtual Private Cloud) services. The village information system's load balancing design successfully applied to cloud technology, Amazon Web Service, and successfully implemented HAProxy as the load balancer and OpenSID as the village information system's website. the HA proxy employs various algorithms for a website, including round robin, least connections, source IP Hash, and Uniform Resource Identifier (URI). By using the parameters of standard deviation, throughput, average bytes and error in performance tests consisting of load tests and soak tests in this research, it has been determined that the URI algorithm is the most suitable for OpenSID. © 2023 IEEE.

关键词： Websites

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Enhancing Succulent Plant Species Classification: A MobileNetV3-Large Approach

Enhancing Succulent Plant Species Classification: A MobileNe...

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2024 International Conference on Information Technology Research and Innovation, ICITRI 2024

作者： Dhermawan, Wahyu Susilawati Muhathir Muliono, Rizki Lubis, Andre Hasudungan Khairina, Nurul Universitas Medan Area Student Fakultas Teknik Program Studi Teknik Informatika Medan Indonesia Universitas Medan Area Fakultas Teknik Program Studi Teknik Informatika Medan Indonesia

ISBN: (纸本)9798350376210

Recent advancements in deep learning have significantly enhanced the classification accuracy of various plant species, including succulents. This study aims to evaluate the performance of the MobileNetV3-Large architecture in classifying 10 types of succulent plants, comparing its accuracy to previous models, and identifying potential areas for improvement. A quantitative study was conducted using the MobileNetV3-Large architecture, with hyperparameters set to input shape 224× 224× 3 (RGB channel), batch size 64, optimizer Adam, learning rate 0.0001, and 30 epochs. The model was trained and validated on a dataset of 4,500 images, with performance metrics including accuracy and loss values for both training and validation data. The model achieved an accuracy of 99.11% across 4,500 samples. Specific species such as Agave Parryi, Crassula Ovata, and others reached 100% accuracy for each sample tested. Minor inaccuracies were observed in Kalanchoe Luciae and Sempervivum Tectorum, with one sample each showing slightly lower accuracy (99.95% and 93.59%, respectively). Compared to previous studies, this model maintained high performance with a larger dataset. The results demonstrate that the MobileNetV3-Large model performs exceptionally well in classifying succulent plant species, achieving higher accuracy with a larger dataset compared to previous models. While the model's performance is robust, minor misclassifications indicate areas for future improvement. Further research should focus on optimizing hyperparameters and increasing dataset diversity to enhance model accuracy and generalizability © 2024 IEEE.

关键词： Plant diseases

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Risk Analysis of Cloud Computing in the Logistics Process 3

Risk Analysis of Cloud Computing in the Logistics Process

引用

3rd International Conference on Vocational Education and Electrical Engineering (ICVEE) - Strengthening the Framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering

作者： Maniah Milwandhari, Shiyami Politekn Pos Indonesia Program Studi D3 Manajemen Informatika Bandung Indonesia

ISBN: (纸本)9781728174341

In the era of the fourth industrial revolution or industry 4.0, one of the foundations is the application of Cloud Computing. Currently, many logistics industries have implemented cloud computing in their logistics processes. Logistic processes are activities carried out to run the logistics business, which is better known as logistic activities, such as integrating supply chains, providing warehousing services, transportation. How big is the risk value faced by business players in the logistics industry who implement cloud computing to support this logistics activity, so it is important to know the risk value of each logistic activity based on the probability and impact risk that exists. This study uses a qualitative approach where the researcher in collecting data, the researcher uses questions that are asked to respondents that are flexible. Respondents who are the object of this research arc several companies/industries that have logistics services to support their company's business. The method used in this research is risk analysis based on ISO 31000. The results of this study provide an overview of the risk value in 13 (thirteen) logistic activities, namely: Procurement activities have the highest risk value, and customer service activities have the most risk value lowers (1), while for 11 (eleven) other logistic activities the risk value is medium.

关键词： Cloud Computing logistics activity Risk Analysis the risk value

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K-Means Algorithm for Clustering the Location of Accident-Prone on the Highway 1

K-Means Algorithm for Clustering the Location of Accident-Pr...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Puspitasari, Diah Wahyudi, Mochamad Rizaldi, Muhammad Nurhadi, Acmad Ramanda, Kresna Sumanto Program Studi Sistem Informasi Fakultas Teknik Dan Informatika Universitas Bina Sarana Informatika Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri Indonesia

In Indonesia, there is a highway which connects Jakarta and Bogor, some accidents have occurred at the highway every year. This paper aims to analyze the location of the accident to classify the high and low levels of accident vulnerability in the Jakarta Bogor Highway. First, the extracted data is then grouped based on some of the same characteristics in the dataset namely cause, location, minor injuries, serious injuries and death. Second, the grouping results are visualized in the form of highway maps that can help highway managers in identifying and evaluating several accident-prone points on Jakarta Bogor Highway. The method to be used in data processing in this study is the K-Means clustering algorithm which is expected to produce useful information for Jakarta Bogor Highway managers. The results of this study indicate that accidents that often occur are in cluster 3 with a total of 80 accidents and at least there are in cluster 2 with a total of 57 accidents, the location of accidents that often occurs in cluster 1 is in KM 24, while cluster 2 is in KM 41 and cluster 3 located at KM 10.6. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Managers

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A modification of the Distance Formula on the K-Nearest Neighbor Method is Examined in Order to Categorize Spices from Photo Using the Histogram of Oriented Gradient

A modification of the Distance Formula on the K-Nearest Neig...

引用

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

作者： Melisah Muhathir Program Studi Teknik Informatika Fakultas Teknik Universitas Medan Area Medan Indonesia

ISBN: (纸本)9798350320954

Spices are biological resources that have long played a very important role in everyday life. Spices have characteristics, shapes, and colors that are almost similar and it is difficult to distinguish one spice from another. To assist in recognizing the characteristics of existing spices, the author tries to do research with the title. "Spices Classification Using the K-Nearest Neighbor (K-NN) Method and Using Histogram Oriented Gradient Feature Extraction. The method used in this study is the K-Nearest Neighbor and uses the Histogram Of Oriented Gradient feature extraction. In this study, the dataset used was 2250 image samples and divided into two categories, namely training data and testing data with a ratio of 80%: 20%. The results of this study indicate that the most optimal testing distance formula, namely the Manhattan distance formula, obtained an average accuracy of 87%, 87% precision, 87% recall, 87% f1 score, 87% Fbeta score, and 77% Jaccard score. These results indicate that feature extraction greatly influences the number of types in extracting information, the Histogram of Oriented Gradient works optimally when the number of types extracted is small and not optimal when used in a large number of classification types. © 2023 IEEE.

关键词： Feature extraction

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Blockchain-based Public Key Infrastructure using Smart Contracts

Blockchain-based Public Key Infrastructure using Smart Contr...

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2024 IEEE International Conference on Data and Software Engineering, ICoDSE 2024

作者： Louis, Frederik Imanuel Candra, Muhammad Zuhri Catur Program Studi Teknik Informatika Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung Jalan Ganesha 10 Bandung Indonesia

ISBN: (纸本)9798331506407

Certificate authorities are a massive point of weakness in traditional PKI. Blockchain technology offers an easy way to implement Certificate Transparency but existing blockchain-based PKIs lack either support for key updates, revocations, or privacy. This paper explores two existing solutions and merges their ideas to provide all of the aforementioned properties. The proposed system provides a Public Key Infrastructure based on Ethereum that supports traditional key registration and revocation, while also facilitating anonymous key updates. These key updates are chained from initial key registrations, allowing subjects to disclose their newest key on their discretion. © 2024 IEEE.

关键词： Smart contract

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The Classification of Monster and Williams Pear Varieties Using K-Means Clustering and K-Nearest Neighbor (KNN) Algorithm 1

The Classification of Monster and Williams Pear Varieties Us...

引用

1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Indarti Indriyani, Novita Budi, Arief Setya Laraswati, Dewi Yusnaeni, Wina Hidayat, Arief Program Studi Sistem Informasi Fakultas Teknik Dan Informatika Universitas Bina Sarana Informatika Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri Indonesia

Pear is a kind of fruits which has a lot of varieties. One of the way to differ pear varietiesis by looking at the color, size and shape. This research is aimed at giving assistance to classifytwo varieties of pear i.e. Monster Pear and Williams Pear. In order to get the purpose, pear image processing is done to ease the classification process of pear varieties. Research method used consists of RGB Color Room to l*a*b, image segmentation, characteristics extraction with K-Means Clustering. Besides, K-Nearest Neighbor (KNN) is used to know the distribution and the classification. The use of practice data will increase the accuracy of pear varieties classification. The data used here are 88 pear images which cover 44 image practice data of Monster pear and 44 image practice data of Williams pear. Meanwhile, the test data taken are 10 images of each variety. The result of this research shows that the pear classification accuracy level is 95% which is very good. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Fruits

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Motorized Vehicle Security System with Master and Slave Key Models 1

Motorized Vehicle Security System with Master and Slave Key ...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Sriyadi Maruloh Susila, Mochamad Nandi Andriansah Nawawi, Imam Sri Sulistyawati, Meiva Eka Alawiyah, Sufi Program Studi Sistem Informasi Fakultas Teknik and Informatika Universitas Bina Sarana Informatika Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri Jakarta Indonesia

Indonesian are carrying out routines both for personal gain, groups can use a variety of transportation in land, sea and air. Kinds of transportation that are available in the middle of the community that is affordable to have, are vehicles both two-wheeled and four-wheeled. The tendency of motorized vehicles to increase due to various factors including more economical compared to other transportation, simplify and speed up the duration of the trip, encourage the economy of the motorcycle taxi online or traditional. In the midst of people enjoying transportation, there are threats made by certain elements who take advantage of the owner's carelessness and of course the security weaknesses of the vehicle. The threat that occurs is motor vehicle thief. Based on data from the Central Statistics Agency for motor vehicle theft in Indonesia in January 2016 was 3,468 cases, February 3,595 cases, March 3,518 cases), meaning that in 2016 for three months as many as 10,581 people were disadvantaged because of the crimes. Di era industrial revolution 4.0 marked the massive implementation of information technology in all fields including transportation. Collaboration of information technology with the field of automation, in this case the workshop can create new innovationsin securing motor vehicles so that they are not vulnerable to deception. The innovation is SIKEMO, works based on inputs known by the sensor, if the sensor recognizes the input data, the process ca be continued and the motor can be used (starter is on status), and vice versa if the sensor does not recognize the input data, then SIKEMO will reject and of course the vehicle cannot be used ( starter in the off status). The Security System developed at SIKEMO uses data input with two models, namely the master key and the slave key. The master key input data has the highest authority besides being recognized by SIKEMO, the master key can be used to grant access rights to the slave key to be recognized by the SIKEM

关键词： Software prototyping

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The Development of Blockchain-Based Access Control with a Decentralized XACML Approach: A Case Study on Payment Gateway

The Development of Blockchain-Based Access Control with a De...

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2024 IEEE International Conference on Data and Software Engineering, ICoDSE 2024

作者： Parameswara, I. Gede Arya Raditya Candra, Muhammad Zuhri Catur Program Studi Teknik Informatika Sekolah Teknik Elektro dan Informatika Institut Teknologi Bandung Jalan Ganesha 10 Bandung Indonesia

ISBN: (纸本)9798331506407

In the digital era, secure and reliable access control is essential, especially for financial transactions, which have shifted from traditional to digital platforms. Blockchain, through decentralization, ensures data integrity by permanently recording transactions that cannot be altered without consensus. This research applies Attribute-Based Access Control (ABAC) and integrates eXtensible Access Control Markup Language (XACML) to manage dynamic and adaptive access policies in a Blockchain-Based Access Control (BAC) system. Using a payment gateway case study, we developed a prototype involving three entities: merchant, attribute authority, and payment provider. The system, implemented on Hyperledger Fabric, uses a BRMS engine for complex decision-making. Test results demonstrate improved transaction integrity and auditability, showcasing the potential of blockchain and XACML to address the limitations of traditional access control systems in payment gateways. © 2024 IEEE.

关键词： Decentralized control

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Analysis of Different Naïve Bayes Methods for Categorizing Spices Through Photo using the Speeded-up Robust Feature

Analysis of Different Naïve Bayes Methods for Categorizing ...

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

作者： Safira, Ira Muhathir Fakultas Teknik Universitas Medan Area Program Studi Teknik Informatika Medan Indonesia

ISBN: (纸本)9798350320954

Spices are biological natural resources that have long been used in human life. Spices are highly valued in the European market due to their flavor, aroma, and delicacy. Spices come in a variety of shapes and sizes, each with its own set of characteristics. Because there are so many different types of spices, many people are unfamiliar with their names and forms. As a result, this study discusses how to classify spices using the Nave Bayes method and the Speeded-up Robust Features feature extraction method. According to the results of the tests conducted in this study, experiments with 5 types of spices produced better results with an accuracy of 77.3%, precision of 77.5%, recall of 77.5%, f1 score of 76.4%, f beta score of 76.8%, and Jaccard score of 63.3%, whereas experiments with 10 types of spices and 15 types of spices produced less than the maximum. The findings revealed that the number of spice species used in extracting information is greatly influenced by feature extraction. Speeded-up Robust features that have been accelerated Feature Extraction works best when the number of spices extracted is small, and it performs poorly when used in a large number of classification types. © 2023 IEEE.

关键词： Classification (of information)

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