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Analyzing User Comments on Fintech E-wallet Applications in Indonesia Using the LDA Algorithm 7

Analyzing User Comments on Fintech E-wallet Applications in ...

引用

7th International Conference on Information Technology, InCIT 2023

作者： Widiantoro, Albertus Dwiyoga Mustafid, Mustafid Sanjaya, Ridwan Diponegoro University Doctoral Program of Information System School of Postgraduate Studies Semarang Indonesia Soegijapranata Catholic University Information System Computer Science Fakulcty Semarang Indonesia

ISBN: (纸本)9798350358698

The main objective of this article is to compare user comments from 4 Fintech applications in Indonesia using the Latent Dirichlet Allocation (LDA) algorithm. This research is word processing research carried out using text mining. The statistical population is comments from Fintech users Ovo, Dana, LinkAja, and Doku, with data taken from May 2022-May 2023. LDA and the Python programming language are applied to analyze the data and implement text mining algorithms from topic modeling. Each application group has different topic coherence, each application group is analyzed and 4 large categories are found, namely system convenience, system problems, customer service (CS) problems, and service ease. The results of text mining and processing using Coherence and Latent Dirichlet allocation can be used to identify hidden topics and be used as input for system improvements © 2023 IEEE.

关键词： Population statistics

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High embedding reversible data hiding scheme for JPEG

High embedding reversible data hiding scheme for JPEG

引用

6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

作者： Kuo, Wen-Chung Kuo, Shao-Hung Wuu, Lih-Chyau Depart. of Computer Science and Information Engineering National Formusa University Yunlin 632 Taiwan Graduate School of Engineering Science Technology Doctoral Program National YunLin University of Science and Technology Yunlin 640 Taiwan

ISBN: (纸本)9780769542225

Both Data hiding and data compression are very important technologies in the field of image processing. It seems that there is no relationship between data hiding and data compression because most of the data hiding mechanisms focus on information security and the data compression mechanisms emphasize the compression ratio. In fact, they are closely related. Until now, there are many literatures to discuss the secret data how to be embedded into the media image. Unfortunately, the stego-image's size will be increased when the media image is hidden a lot of secret data. In order to overcome this disadvantage, a reversible data hiding scheme based on EMD data hiding and JPEG compression technology will be proposed in this paper. According to the experimental results, we can prove that our proposed scheme still keeps high embedding capacity, security and good compression ratio. © 2010 IEEE.

关键词： Steganography

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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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Measuring the perception of facial expressions in American sign language animations with eye tracking

Measuring the perception of facial expressions in American s...

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8th International Conference on Universal Access in Human-computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-computer Interaction, HCI International 2014

作者： Kacorri, Hernisa Harper, Allen Huenerfauth, Matt Doctoral Program in Computer Science Graduate Center 365 Fifth Ave New York NY 10016 United States Computer Science Department CUNY Queens College 65-30 Kissena Blvd Flushing NY 11367 United States

ISBN: (纸本)9783319075082

Our lab has conducted experimental evaluations of ASL animations, which can increase accessibility of information for signers with lower literacy in written languages. Participants watch animations and answer carefully engineered questions about the information content. Because of the labor-intensive nature of our current evaluation approach, we seek techniques for measuring user's reactions to animations via eye-tracking technology. In this paper, we analyze the relationship between various metrics of eye movement behavior of native ASL signers as they watch various types of stimuli: videos of human signers, high-quality animations of ASL, and lower-quality animations of ASL. We found significant relationships between the quality of the stimulus and the proportional fixation time on the upper and lower portions of the signers face, the transitions between these portions of the face and the rest of the signer's body, and the total length of the eye fixation path. Our work provides guidance to researchers who wish to evaluate the quality of sign language animations: to enable more efficient evaluation of animation quality to support the development of technologies to synthesize high-quality ASL animations for deaf users. © 2014 Springer International Publishing.

关键词： Eye tracking

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Construction of a Self-Balancing Cube With Embedded Reaction Wheel Drive and Preliminary Investigation of Simple Harmonic Motion Patterns

Construction of a Self-Balancing Cube With Embedded Reaction...

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science and Information Technology in Smart Administration (ICSINTESA), International Conference of

作者： Baihaqi Siregar Opim Salim Sitompul Mohammad Andri Budiman Fahmi Computer Science Doctoral Program Universitas Sumatera Utara Indonesia

ISBN: (数字)9798350376111

ISBN: (纸本)9798350376128

The use of reaction wheels to help maintain the position of objects in balance remains an interesting topic to discuss in research. The harmonic motion resulting from the continuous rotation of the reaction wheel is read by the installed sensor, so that acceleration and angular velocity values are obtained on the X -axis, Y -axis and Z -axis. The self-balancing cube was built to be used as a vehicle for the reaction wheel to be embedded. The phenomenon that occurred during the experiment showed that there was a certain pattern formed as a result of the self-balancing cube swinging to maintain its balance.

关键词： System testing Wheels Life estimation Position measurement Harmonic analysis Angular velocity Information technology Standards

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An Analysis Air Traffic Prediction during a Pandemic 4

An Analysis Air Traffic Prediction during a Pandemic

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4th International Conference on Cybernetics and Intelligent System, ICORIS 2022

作者： Nasution, Darmeli Mawengkang, Herman Fahmi Zarlis, Muhammad Universitas Sumatera Utara Doctoral Program Departmen of Computer Science and Information Technology Medan Indonesia Universitas Sumatera Utara Departmen of Math and Science Medan Indonesia Universitas Sumatera Utara Departmen of Computer Science and Information Technology Medan Indonesia Universitas Bina Nusantara Departmen of Computer Science and Information Technology Jakarta Indonesia

ISBN: (纸本)9781665453950

Air transportation during the covid-19 pandemic experienced a very drastic decline. The decrease in the number of passengers was caused by national and international restrictions. The troublesome administration makes passengers discouraged from traveling using Air transportation. Based on the National Statistics Agency, air transportation experienced a decline from early 2020 to 2021. This study focuses on air traffic predictions, namely the number of aircraft passengers during the COVID-19 pandemic at Indonesia's main airports, namely Kuala Namu, Sukarno Hatta, and Juanda airports., Ngurah Rai and Hasanuddin. The method used to predict the number of airplane passengers during a pandemic is the backpropagation algorithm using the Fletcher Reeves method. © 2022 IEEE.

关键词： Air transportation

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Direct Machine Translation Indonesian-Batak Toba 7

Direct Machine Translation Indonesian-Batak Toba

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7th International Conference on New Media Studies, CONMEDIA 2023

作者： Abidin, Zaenal Junaidi, Akmal Wamiliana Togatorop, Frengky Marulitua Ahmad, Imam Puspaningrum, Ajeng Savitri Universitas Lampung Doctoral Program of Mathematics and Natural Sciences Bandarlampung Indonesia Universitas Lampung Department of Computer Science Bandarlampung Indonesia Universitas Lampung Department of Mathematics Bandarlampung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia

ISBN: (纸本)9798350307504

The translation application was developed using Python and Visual Studio Code as the primary programming environment. Technological progress has led to the younger generation forsaking the Batak language in their daily interactions, perceiving it as inconsequential to their social circle and contributing to the decline of regional languages. There is concern that regional languages, namely the Batak language, may lose significance or face extinction if this trend persists. This translation program is being implemented to aid in preserving regional languages, specifically the Batak language, enabling it to conform to contemporary circumstances. The development of this translation engine utilized the Batak language dictionary. The process of designing, coding, and testing is responsible for creating this direct machine translation. The BLEU score is employed to assess the caliber of machine translation. The study's findings indicate that the % BLEU value for ten sentences was 32.3%. This score falls within the category of sentences whose meaning can be understood, but the sentence structure still needs development. The direct machine translation developed in this Web platform is highly proficient and practical. © 2023 IEEE.

关键词： Python

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Automatic Identification and Reconstruction 3D Image of the Rhinosinusitis Mucus 12

Automatic Identification and Reconstruction 3D Image of the ...

引用

12th International Conference on Information and Communication Technology, ICoICT 2024

作者： Eka Putra, Ondra Sumijan Tajuddin, Muhammad Universitas Putra Indonesia YPTK Padang Faculty of Computer Science Department of Informatics Technology Padang Indonesia Doctoral Program in Information Technology Universitas Putra Indonesia YPTK Padang Padang Indonesia Bumigora University Department of Computer Science Mataram Indonesia

ISBN: (纸本)9798350363432

Rhinosinusitis Mucus is mucus produced by mucus glands found in the nose in the paranasal sinus area which indicates inflammation. Segmentation of rhinosinusitis mucus is very difficult to do because of the many characteristics of different objects in the image of the paranasal Sinus CT-Scan in separating the mucus object with its background before the extraction process. The purpose of this study was to accurately identify and measure the mucus area of rhinosinusitis from CT-scan images of rhinosinusitis patients. The test data used in this study is secondary data from CT-Scan of paranasal sinus sagittal view in radiology RSUP M. Djamil Padang, Padang City, West Sumatra, Indonesia, using the Philips Ingenuity CT CT-Scan model type MRC880 numbered Tube series 163889. The segmentation process is carried out to obtain the optimal multi threshold value from each slice of the test image using the Improved Adaptive Multi Threshold (IAMT) segmentation method which produces a binary image to separate the mucus object with its background before the extraction process. Furthermore, the results of IAMT are applied to the identification and extraction model automatically to obtain the area of the rhinosinusitis mucus object. The extraction results were used for 2D to 3D image reconstruction in calculating the volume of rhinosinusitis mucus objects. The test results showed that the smallest area of rhinosinusitis mucus was 0.516 cm2 and the largest was 1.807 cm2, and the average volume was 0.95 cm3 with Accuracy is 96,5%. The identified areas and volumes indicate inflammation in the area of the paranasal sinuses and require treatment. Thus, this study can help doctors in making the right decision to take further medical action. © 2024 IEEE.

关键词： computerized tomography

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Optimization of the Use of Artificial Neural Network Models for Accuracy Data Measurement Palm Oil Production Prediction Rate

Optimization of the Use of Artificial Neural Network Models ...

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computer science, Information Technology and Engineering (ICCoSITE), International Conference on

作者： Iwan R. Setiawan Ahmad Z. Fanani Given Name Surname Purwanto Purwanto Doctoral Program in Computer Science Dian Nuswantoro University Semarang Indonesia

Predictions are necessary in modern times if the amount of production, profit and loss analysis, and development must be calculated on a specific scale. The average prediction only determines a certain period using data series, so it will be very helpful on certain production scales, especially palm oil production as a commodity with a very large amount of investment. Palm oil production is Indonesia's production potential, which requires a prediction pattern for a certain period. The autoregressive integrated moving average (ARIMA) model is used to calculate production rates by performing predictive data analysis of palm oil production development over a period of time. To prove the level of foresight in the prediction process, the next step is to calculate the level of foresight of the prediction process error through the Mean Square Error (MSE) model. To get the accuracy value, the Artificial Neural Network (ANN) algorithm approach is carried out using the MATLAB tool. There are several ways to test the level of accuracy; the results are compared with the calculation results using MS Excel as well as the Statistical Product and Service Solution (SPSS) tool. The calculated accuracy of SPSS (0.015) and MS Excel (0.0201) are known, while the ANN algorithm is more observant with a value of 0.0055.

关键词： Oils Production Artificial neural networks Predictive models Prediction algorithms Mathematical models Data models

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An Improvement Data Hiding Scheme Based on Formula Fully Exploiting Modification Directions and Pixel Value Differencing Method 11

An Improvement Data Hiding Scheme Based on Formula Fully Exp...

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11th Asia Joint Conference on Information Security, AsiaJCIS 2016

作者： Kuo, Wen-Chung Li, Jyun-Jia Wang, Chun-Cheng Wuu, Lih-Chyau Huang, Yu-Chih Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Taiwan Department of Information Management Tainan University of Technology Taiwan

ISBN: (纸本)9781509022854

Recently, a modified data hiding scheme based on pixel value differencing and improving exploiting modification directions is proposed by Shen and Huang. There are two major contributions in this scheme. One is to enhance the embedding rate and good embedding capacity and the other is an optimization problem used to solve the overflow/ underflow problem. In fact, they propose the similar brute force method to solve overflow/underflow problem in their proposed scheme. To overcome the overflow/underflow problem exactly, we will propose the close form to solve this problem in this paper. Then, an improvement data hiding scheme based on FFEMD (Formula Fully Exploiting Modification Directions) and pixel value differencing method is proposed. According to our analysis, it is not only to keep the advantages of Shen-Huang scheme but also to use the close form to solve the overflow/ underflow problem. © 2016 IEEE.

关键词： Pixels

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