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Personality Analysis Based on The Handwriting Shape using Integration of Image Processing and Machine Learning Algorithm 7

Personality Analysis Based on The Handwriting Shape using In...

引用

7th International Conference on New Media Studies, CONMEDIA 2023

作者： Rosalina Sahuri, Genta Fahmi, Hasanul Moerland, Joe Wesley Mandala, Rila President University Informatics Study Program Indonesia President University Information System Study Program Indonesia President University Magister of Informatics Study Program Indonesia President University Faculty of Computing Indonesia

ISBN: (纸本)9798350307504

In Indonesia, mental health awareness is not as prominent as physical health, and many adolescents have experienced mental health problems. Some people hide their mental and emotional problems by appearing cheerful and peaceful, but research shows that body language and voice tone can reveal a person's inner psychological state. Similarly, handwriting can be analyzed through graphology to reveal personality traits such as honesty, emotional stability, and fears. Graphology is a time-consuming and expensive process, using image processing and machine learning, graphology can be done quickly without human bias. This research aims to predict the personality traits by implement image processing combined with machine learning to analyze handwriting features. Using lazy learner algorithm of K-Nearest Neighbor algorithm, SVM and Naïve Bayes, the application can predict the MBTI personality from handwriting image with an accuracy of 94%, 78%, and 93% respectively. From the experiment, it is shown that the application able to do the analysis of one's handwriting and then predict the personality traits, fully automated using a computer © 2023 IEEE.

关键词： Forecasting

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Load balancing factor using greedy algorithm in the routing protocol for improving internet access 2

Load balancing factor using greedy algorithm in the routing ...

引用

2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Satria, Ady Sihombing, Poltak Sawaluddin Informatics Engineering Study Program Magister Faculty of Computer Science and Information Technology University of Sumatera Utara Indonesia

Load Balancing is very well applied to the distribution of internet access at any point of the Wi-Fi area so that the use of limited devices can be optimal and on target. The proper use of the Greedy Algorithms when applied to an access point device is very capable in resolving excessive loading in a single resource to take the best choice at every stage in an optimum process. Access point device is also a success factor in running the optimization of the distribution of Wi-Fi access on the Access Point is strongly influenced by the parameters set. In this research, user access factor in one very high Wi-Fi area also influences the possibility of incoming access failure. For the application of the results of this study can be utilized on all access point devices that have limits, but for speed internet access remains at the capacity provided bandwidth. © Published under licence by IOP Publishing Ltd.

关键词： Wireless local area networks (WLAN)

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Natural Language Interface to Database (NLIDB) for Decision Support Queries

Natural Language Interface to Database (NLIDB) for Decision ...

引用

2019 International Conference on Data and Software Engineering, ICoDSE 2019

作者： Anisyah, Ani Widagdo, Tricya Esterina Nur Azizah, Fazat Institut Teknologi Bandung Magister of Informatics Study Program Bandung Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728149929

Data access that is accurate, fast, and precise is a modern need for analysis or business decision making. NLIDB (Natural Language Interface to Database) is a system that allows users to access information from a database by entering requests that are stated in natural language. The NLIDB for Indonesian language that has been built has not been able to handle decision support data queries. The method of translating imperative sentences into SQL queries is done in two stages. The first stage is identifying the imperative sentence and parsing the sentence into a parsed tree that is assisted by the PC-PATR syntactic parser. The second stage is processing the parse tree into an SQL query. The parse tree is analyzed to look for parts of SQL, then do object searching for SQL parts to ontology. The objects found will be arranged into SQL queries. NLIDB application development is carried out to test the results of the translation of imperative sentences into SQL queries and see the application performance in translating imperative sentences into SQL queries. Application development is done with the Python programming language and MySQL database. The application that was built successfully translates imperative sentences into SQL queries for cross tab data, summary data, trend data, and top-N/bottom-N data. The application performance in carrying out the translation process is quite good, but it is necessary to improve performance for the ontology object searching process on the query generator component. Development that can be done for further research is the handling of sentence forms that have affixes and subquery handling. © 2019 IEEE.

关键词： Decision making

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Natural Language Interface to Database (NLIDB) for Query with Temporal Aspect

Natural Language Interface to Database (NLIDB) for Query wit...

引用

2019 International Conference on Data and Software Engineering, ICoDSE 2019

作者： Poetra, Dion Ajie Esterina Widagdo, Tricya Azizah, Fazat Nur Institut Teknologi Bandung Magister of Informatics Study Program Bandung Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728149929

NLIDB (Natural Language Interface to Database) was developed to simplify database access using natural language. In previous studies, NLIDB has been developed which can translate natural languages into several languages, including in Indonesian language. However, there are types of queries that cannot be handled by the system, one of them is a query with a temporal aspect. In this study, we propose a method of translating sentences in Indonesian language that have temporal aspects into SQL queries. The process of translating sentence is performed by identifying the input sentence and parsing the sentence into a parsed tree with PC- PATR as the syntax parser. The parsed tree is analyzed and mapped into parts of SQL. Then, an object search is performed to the ontology that is built from the database to get classes, attributes, operators, and values based on tokens in parts of SQL. Finally, the results of the previous process are organized into SQL queries. The NLIDB application built in this study was successful in translating imperative sentences with temporal aspects in Indonesian language into SQL queries for current state, time slice, sequenced and non-sequenced queries. © 2019 IEEE.

关键词： Database systems

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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...

引用

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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Integration of HTML tables in web pages

Integration of HTML tables in web pages

引用

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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Personality Analysis Based on The Handwriting Shape using Integration of Image Processing and Machine Learning Algorithm

Personality Analysis Based on The Handwriting Shape using In...

引用

Conference on New Media Studies (CoNMedia)

作者： Rosalina Genta Sahuri Hasanul Fahmi Joe Wesley Moerland Rila Mandala Informatics Study Program President University Indonesia Information System Study Program President University Indonesia Magister of Informatics Study Program President University Indonesia Faculty of Computing President University Indonesia

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Natural Language Interface to Database (NLIDB) for Decision Support Queries

Natural Language Interface to Database (NLIDB) for Decision ...

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International Conference on Data and Software Engineering (ICODSE)

作者： Ani Anisyah Tricya Esterina Widagdo Fazat Nur Azizah Magister of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9781728149929

ISBN: (纸本)9781728149936

关键词： Structured Query Language Databases Ontologies Market research Natural languages Syntactics

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Natural Language Interface to Database (NLIDB) for Query with Temporal Aspect

Natural Language Interface to Database (NLIDB) for Query wit...

引用

International Conference on Data and Software Engineering (ICODSE)

作者： Dion Ajie Poetra Tricya Esterina Widagdo Fazat Nur Azizah Magister of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9781728149929

ISBN: (纸本)9781728149936

关键词： Ontologies Structured Query Language Natural languages Syntactics Relational databases Software engineering

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Integration of HTML tables in web pages

Integration of HTML tables in web pages

引用

International Conference on Data and Software Engineering (ICODSE)

作者： Memen Akbar Fazat Nur Azizah G. A. Putri Saptawati 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

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.

关键词： HTML Layout Web pages Semantics Ontologies Particle separators Standards

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