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The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans Jateng Purwokerto-Purbalingga Ridership 8

The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans ...

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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Kusumawardani, Dwi Mustika Saintika, Yudha Romadlon, Fauzan Information System Study Program Faculty of Informatics Institut Teknologi Telkom Purwokerto Purwokerto Indonesia Industrial Engineering Study Program Faculty of Industrial Engineering and Design Institut Teknologi Telkom Purwokerto Purwokerto Indonesia

ISBN: (纸本)9781665416979

The rapid development of technology presents a new paradigm, one of which is in the transportation sector. The concept of smart mobility is one of the components in the realization of a smart city, which is closely related to the transportation sector. The Purwokerto-Purbalingga Bus Rapid Transit (BRT) is the government's effort to encourage the transportation sector towards smart mobility. It requires three crucial categories: Accessibility, sustainability, and communication and information technology. This study proves and explains that these three categories can be fulfilled by the Purwokerto-Purbalingga Bus Rapid Transit, especially from women's perception, indicated by an average accessibility score of 4.04, sustainability of 4.22, and Information and Communication Technology of 3.80. Efforts that can be taken by the government and Bus Rapid Transit managers include monitoring and evaluating bus stops and bus arrival frequencies as well as developing mobile-based applications that provide real-time information related to bus rapid transit. © 2021 IEEE.

关键词： Sustainable development

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Integration of HTML tables in web pages

Integration of HTML tables in web pages

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International Conference on Data and Software engineering, ICODSE 2015

作者： Akbar, Memen Azizah, Fazat Nur Putri Saptawati, G.A. Magister in Informatics Study Program School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Data and Software Engineering Research Group School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781467384285

The growing number of web pages on the internet introduces a need to combine and integrate information from HTML tables of different web pages that contain similar information into a single web page, especially information from the same domain of interest. This paper presents an approach of HTML table integration by combining several existing methods that are proved to solve different issues in the integration processes. The integration of HTML table consists of three phases: (1) extraction of the structure of the tables;(2) integration of the tables' schema;(3) integration of the data values. To solve the conflicts in semantics and naming in the tables schema, domain-ontology is used. To improve quality of integration of data values in the tables, the vector space model is used to check the duplications of data values. As the integration result, a single HTML table is obtained. The approach is implemented on an engine built using Phyton. Results of the experiment shows that the engine can successfully integrate two HTML tables into single table. © 2015 IEEE.

关键词： Websites

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Internet of Things for Real-Time Multi Room Monitoring System 1

Internet of Things for Real-Time Multi Room Monitoring Syste...

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1st IEEE International Conference on Smart Technology, ICE-SMARTec 2023

作者： Tae, Kim Sung Suhartomo, Antonius Vincent President University Study Program of Electrical Engineering Bekasi Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9798350306156

Electronic devices have become an integral component in our daily activities. In fact, the consumption of electrical energy in households reached 49% in 2018, and is expected to increase to 58% in 2050. Concurrently, the LPG is the second highest consumed energy in the household and is expected to increase to 37% in 2050. However, the devices utilizing these energies could lead to a danger such as housefire if not operated and treated carefully. An Internet of Things (IoT)-based smart home monitoring system would solve this problem, especially by effectively monitoring several parameters in the house simultaneously. In this study, a system is built to monitor and control three rooms in the house independently and simultaneously. The sensors and/or actuators in all rooms are controlled by NodeMCU ESP8266s. All microcontrollers are linked via the Internet to a local server, where all data is analyzed, saved, and transmitted to the user using the MQTT protocol. The monitoring is done by the user via MQTT dashboard in the smartphone. Following testing, the three microcontrollers are fully capable of exchanging data with the user's smartphone. The humidity changed by 1%, while the temperature changed by 0.1 °C. Perfect data interchange is possible between the relays, flame, gas, and movement activity sensor. © 2023 IEEE.

关键词： Informatization

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Testing Real-Time Applications on Windows 10 IOT Using the Nyquist Theory 1

Testing Real-Time Applications on Windows 10 IOT Using the N...

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1st International Conference on Computer Science and Applied Mathematic, ICCSAM 2018

作者： Syahputa, Zulfahmi Zarlis, M. Nasution, Beny B. Informatics Engineering Study Program Magister Faculty of Computer Science Information Technology Universitas Sumatera Utara Medan Indonesia

Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating system, so the real-time system can be done on Raspberry Pi. The real-time applied in the application needs to be tested with the Nyquist theory. The purpose of this study was to get real-time system measurements available on Windows 10 IoT. This test is done using the Nyquist theory by calculating the results of measurements on mp3 streaming performed on Windows 10 IoT. © Published under licence by IOP Publishing Ltd.

关键词： Real time systems

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Secure and Effective Reengineering Information System and Business Processes of Cross-Border Control between the Republic of Indonesia and the Republic Democratic of Timor-Leste 6

Secure and Effective Reengineering Information System and Bu...

引用

6th International Conference on Cyber and IT Service Management, CITSM 2018

作者： Fransiskus Tjiptabudi, M.H. Igon, Skolastika Siba Bernardino, Raul Muharram, Asep T. Study Program Information System STIKOM Uyelindo Kupang Indonesia Informatics Engineering Department Pamulang University Banten Indonesia

ISBN: (纸本)9781538654330

Technology disruption had boost every sector to adapt and to adjust an infrastructure and system according to the specific needs and business process which can improve an effective operation for the decision making processes and reporting systems within the workflow, social capability, data integrity, and open standard frameworks. Current administration process for capturing cross-border (traveler) in terrestrial immigration posts are used a conventional or handwriting;-passport information is collected on arrival or departure immigration cards or use of ' Pas Lintas Batas' (PLB) special cards for the inhabitant was living alongside both countries border. It is quite difficult to organize cross-border cards for the archiving, filing system, retrieve data, and recapitulate numbers of cross borders for reporting purposes such as individual activities per cities and aims, daily, weekly, and monthly reports. The research will use waterfall with subprojects method within the mentioned modern framework. The aim of this research is to produce an effective and secure information system application prototype for immigration authorities, especially for terrestrial border control system. © 2018 IEEE.

关键词： Information systems

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Logistic Regression Model of Relationship between Breast Cancer Pathology Diagnosis with Metastasis 3

Logistic Regression Model of Relationship between Breast Can...

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3rd International Conference on Statistics, Mathematics, Teaching, and Research 2019, ICSMTR 2019

作者： Bustan, M.N. Poerwanto, B. Statistics Study Program Universitas Negeri Makassar Makassar Indonesia Department of Informatics Engineering Universitas Cokroaminoto Palopo Indonesia

Management of breast cancer requires a diagnosis of breast cancer, including an accurate pathology diagnosis to direct the provision of appropriate treatment. Part of inseparable diagnosis of breast cancer itself is determining the presence of metastasis. This study aims to determine the relationship model of pathological diagnosis with the possibility of metastasis to other organs of the breast. Pathology diagnosis results include tumor position, topography, behavior, grade, and tumor status. This study used secondary data from the Hospital Information System (SIRS) of the hospital in Makassar, Indonesia. Data obtained from the results of pathology and clinical examinations of breast tumor as many as 204 patients were hospitalized during the year of 2018. Binary regression analysis modeling was performed to see the relationship between types of pathological diagnosis (laterality, topography, behavior, grade, tumor status) of breast cancer with the possibility of metastases to other organs. The results of the analysis found a significant relationship between the position and status of the tumor with the presence of metastasis. The results of the metastatic binary logistic regression model was L(Y) = 1.330 - 0.670lat1 - 0.779lat2 - 0.724status Chi-square analysis between metastasis with surgery and chemotherapy found the significant relationships between metastasis with surgery (X2 = 15.951;p value = 0.001) and metastasis with chemotherapy (X2 = 20,796;p value = 0.001). The results of this analysis indicate that the position and status of the tumor have a relationship with the likelihood of metastasis. In addition, this metastasis further determines the management of treatment whether surgery or chemotherapy or both. © Published under licence by IOP Publishing Ltd.

关键词： Diagnosis

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Real Market Basket Analysis using Apriori and Frequent Pattern Tree Algorithm

Real Market Basket Analysis using Apriori and Frequent Patte...

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2021 International Conference on Computer, Control, informatics and Its Applications - Learning Experience: Raising and Leveraging the Digital Technologies During the COVID-19 Pandemic, IC3INA

作者： Christian, Michael Albert Nathanael, Nathanael Mauliani, Annisa Indrawati, Ariani Manik, Lindung Parningotan Akbar, Zaenal Informatics Engineering Program Study Kwik Kian Gie School of Business Jakarta Indonesia Research Center for Informatics National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9781450385244

Recently, data mining has been implemented in various fields, including business and telecommunications. Data mining is a technique for extracting and detecting patterns in massive data sets that combines machine learning, statistics, and database systems. One of the most important use-cases in data mining is finding the high-frequency patterns between the set of itemset called association rules. Association rule mining is a well-researched technique for finding some relations between variables in large databases. This paper aims to measure the performance of the Apriori and Frequent Pattern Tree algorithms by comparing them using several points of comparison. Then we compared the outputs, whether they produce the same or different rules, to find out whether the way the two algorithms work is similar or not. After that, we looked for the itemsets that best match the reality in the market by giving them to a user who had transaction data from his spare parts shop. © 2021 ACM.

关键词： Association rules

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Face recognition system using Viola Jones, histograms of oriented gradients and multi-class support vector machine 3

Face recognition system using Viola Jones, histograms of ori...

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3rd International Conference on Science, ICOS 2019

作者： Arafah, M. Achmad, A. Indrabayu Areni, I.S. Electrical Engineering Department Hasanuddin University Makassar Indonesia Informatics Study Program STMIK AKBA Makassar Indonesia Department of Informatics Hasanuddin University Makassar Indonesia

This study aims to determine the best distance to install a CCTV camera in identifying a person's face in the passenger inspection area at the airport, which can be developed for suspect detection systems. The training data used is in the form of an image with five different angles per person, while the testing data is in the form of video. The initial stage conducted is face detection based on local features (a pair of eyes, nose, and mouth) in the input data using the Viola-Jones method. The face detection results process with pre-processing, feature extraction, and classification. In the pre-processing stage, the Brightness Enhancement (BE), Grayscale and Contrast Limited Adaptive Histogram Equalization (CLAHE) methods are used to improve the quality of the detected face. Furthermore, the feature extraction and classification stages use the Histogram of Oriented Gradient (HOG) and the Multi-class Support Vector Machine (MSVM) methods, respectively. The result shows that the best accuracy obtained is 86.76% for a CCTV camera distance of 300 cm and a height of 250 cm. © Published under licence by IOP Publishing Ltd.

关键词： Face recognition

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Radiation Pattern Characteristics of 1x5 and 1x6 Planar Microstrip Antennas with Edge Weighting at A Frequency of 2.6 Ghz

Radiation Pattern Characteristics of 1x5 and 1x6 Planar Micr...

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

作者： Vistalina Simanjuntak, Imelda Uli Yunita, Trasma Chairunnisa, Chairunnisa Kurniawan, Adit Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia Mercu Buana University Electrical Engineering Study Program Jakarta Indonesia

ISBN: (纸本)9798350320954

One of the methods used to increase channel capacity is the Non-Orthogonal Multiple Access (NOMA) methods. The increase in channel capacity in PD-NOMA multiple access means that the maximum power used by each user in each narrow band achieves increased power efficiency. Therefore, this research focuses on facilitating the increase in channel capacity by designing an antenna that produces a radiation pattern with many sharp main lobes and high gain. The multi-beam radiation pattern is obtained by using edge weighting. Therefore the antenna is designed with odd and even numbers represented by 1x5 and 1x6 antennas on the microstrip patch rectangular antenna at a frequency of 2.6 GHz. The effect of parasitic and non-parasite effects on the radiation pattern of a planar antenna with edge modeling is manageable in the main lobe, only in the side level lobe, which is not too significant. However, the number of main lobes on the 1x6 antenna has seven beam patterns, and the 1x5 antenna has five. The highest gain value obtains in the 1x6 design with a parasitic of 6.01 dB. This value meets the Gain requirements for 5G cellular systems. © 2023 IEEE.

关键词： Microstrip antennas

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Javanese Script Single Letters Classification using GoogLeNet Architecture and Adam Optimizer Based on Convolutional Neural Networks (CNN)

Javanese Script Single Letters Classification using GoogLeNe...

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2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Susanto, Ajib Sari, Christy Atika Mulyono, Ibnu Utomo Wahyu Rachmawanto, Eko Hari Setiadi, De Rosal Ignatius Moses Ali, Rabei Raad University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia Northern Technical University Department of Computer Engineering Technology Mosul Iraq

ISBN: (纸本)9798350339215

This study examines the decline in the usage of the Javanese language, which has experienced a decrease in the number of speakers from approximately 82 million in 2007 to 68.2 million in 2015. The convergence of the Javanese script and Optical Character Recognition (OCR) technology is proposed as a solution, allowing for the preservation and accessibility of the Javanese script in the digital age. The integration of Convolutional Neural Networks (CNNs) in Javanese script classification achieved a high accuracy rate of 92.95% in identifying positive and negative cases. The dataset used for training consisted of 8440 sample images, which were divided into 20 subfolders for training and testing. The results presented in Table IV demonstrate the successful implementation of the classification model, achieving a 98.87% sensitivity, 100% precision, and 98.88% specificity. This research contributes to the preservation and understanding of the culturally significant Javanese script while addressing the decline in its usage. © 2023 IEEE.

关键词： Convolutional neural networks

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