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Traffic sign detection using histogram of oriented gradients and max margin object detection 2

Traffic sign detection using histogram of oriented gradients...

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2nd International Conference on Mechanical, Electronics, Computer, and Industrial Technology, MECnIT 2018

作者： Reinaldo Manurung, Natanael Simbolon, Juara Immanuel Christnatalis Informatics Engineering Study Program Deparment of Technology and Computer Science Universitas Prima Indonesia Medan Indonesia

Traffic signs are important markers in two-wheeled and four-wheeled vehicles. However, there is a change in direction or arrangement on the road that cannot be opened on a map which can cause incorrect information, which can cause traffic jams. In this journal the author uses a camera mounted on a car that provides a solution for drivers who issue problems that occur on the road that show directions or arrangements that are not directly updated using the HOG and MMOD methods. HOGs and MMODs are methods that can refute objects well, and move images and will be recognized immediately. The information received can be sent directly to an electronic map so that it can be accessed automatically by the driver's information and assistance and other information finds the right path, so that it can help the driver and can avoid traffic jams. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Traffic signs

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Visualization of A Three-Dimensional Tree Modeling using Fractal Based on L-System 2

Visualization of A Three-Dimensional Tree Modeling using Fra...

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2nd International Conference on Sustainable engineering and Creative Computing, ICSECC 2020

作者： Hidayat, Eka Wahyu Giriantari, Ida Ayu Dwi Sudarma, Made Widyantara, I. Made Oka Department of Informatics Siliwangi University Tasikmalaya Indonesia Engineering Study Program Udayana University Denpasar Indonesia

ISBN: (纸本)9781728175881

The purpose of this paper is to gift a visualization of three-dimensional (3D) trees using L-System that has been researched before. In this research, he succeeded in making a two-dimensional (2D) tree visualization and stated that when the iteration value or iteration value is larger than five, the 2D tree model results from associate iteration, it lost detail from the branch. This research is to develop the research results, namely the transformation from a 2D tree to a 3D tree. This research is intended to see what is needed in the transformation process from a two-dimensional tree to a three-dimensional tree using the L-System approach. The experiments carried out in three steps, the first step performing a two-dimensional visualization of the grammar origin from the previous research, the second step carrying out a three-dimensional transformation, and the third step making grammar modifications so that the 3D tree becomes realistic. The test results show that mathematically there are differences in the depiction of geometry in the cartesian coordinate with three axes, namely the x, y, and z axes, causing the transformation process from two-dimensional to three-dimensional trees to expand the use of symbols in the L-System. The extended production rules give more complex and more refined geometric shapes. © 2020 IEEE.

关键词： Visualization

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Design of big data technology prototype for classification of village status based on village development index involves k-means algorithm to support village ministry Pdtt work programs 2

Design of big data technology prototype for classification o...

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2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saronom Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia Departement of Chemistry Universitas Negeri Medan Medan20221 Indonesia

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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Review the Utilization of Big Data and K-Means Algorithm in Supporting the Determination of Village Status As Support to the Ministry of Village PDTT 2

Review the Utilization of Big Data and K-Means Algorithm in ...

引用

2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

Big data refers to big data, fast data processing, diversity of data structures, and data values so that it is not possible to be processed with outdated methods. Big data technology is used in various industrial sectors. Big data technology is the whole technology that can handle Big Data. Some of the uses of big data are based on the largest significant data traffic sources such as social media, financial transactions, public data, sensor data, and corporate data. The same is the case with the status of so many villages in Indonesia, so it is better to use big data for the classification of village status based on the village index build by involving an algorithm process. This research aims to produce a description of the role of big data in supporting activities in a grouping. The method used is a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies that have been published in national and international journals. A decision is made that big data has been widely used in different circles to facilitate performance and speed up the decision-making process. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

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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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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...

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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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Natural Language Interface to Database (NLIDB) for Interrogative Sentences with Temporal Elements in Indonesian Language

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

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2022 International Conference on Data and Software engineering, ICoDSE 2022

作者： Daniel Thamrin, Hansel Grady Widagdo, Tricya Esterina Undergraduate of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9798350397055

ISBN: (纸本)9798350397055

Natural Language Interface to Database (NLIDB) is a solution that allows users to retrieve data from databases in natural language. Various studies were conducted to translate Indonesian sentences into database queries, but these studies still have weaknesses. In this study, we propose the translation of interrogative sentences in the temporal database accompanied by the addition of several components that can improve the ability of NLIDB. The translation process is carried out by first masking the input sentence and decomposing the sentence into a collection of syntax trees. Then, the existing parsing tree is selected and the best parsing tree will be selected. Then, the process is continued with the analysis of the query components in the interrogative sentences. The results of the analysis will be translated into parts of database query and parts of database query will be rearranged into database queries. This query will be executed and the result can be evaluated by the user and the user can provide feedback according to the system output. The built NLIDB system can translate interrogative sentences for what, who, when, where, how, if, and how many questions with the types of queries that can be handled are current state, time-slice, sequenced, and non-sequenced. © 2022 IEEE.

关键词： Syntactics

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Assessment of ripeness analysis of information technology supervision on DS and ME domains using COBIT 4.1 in the information engineering department of Musamus Merauke 1

Assessment of ripeness analysis of information technology su...

引用

1st International Conference of Interdisciplinary Research on Green Environmental Approach for Sustainable Development, ICROEST 2019

作者： Prayitno, A. Rahayu, T.K. Sumaryanti, L. Efendi, A. Department of Informatics Universitas Musamus Merauke Indonesia Civil Engineering Study Program Universitas Muhammadiyah Buton Indonesia

Information technology plays an essential role in the business world because it may affect the operations of the organization within the organization that also uses information technology to provide information. One of the departments that use information technology is the Information engineering Department of Musamus Merauke University, which is used to provide information related to the Department of Information engineering. But in the use of information technology is still flawed. Therefore, it is necessary to have a standard in information technology management to measure overall standards and governance in information technology management, ie using COBIT. Based on this study, we will design an information technology management model for the Department of Information engineering. Control objectives for information and related technologies (COBIT) are 4 (4) primary domains, including domains, planning, and organization (PO), acquisition and implementation (AI), transmission and support (DS) and tracking. And evaluating (ME) in research. This will use two domains, namely the delivery domain and support (DS) and monitoring and evaluation (ME) by adjusting the problems and requirements of the information engineering department in the arrangement. Information technology support for information technology service processes and support for monitoring and evaluation of information technology, the results showed that the level of maturity of information technology supervision in the information engineering department is at level 2. Therefore, information technology in the engineering department Information must be updated to the expected level. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Information use

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Determination of bulog regional sub-division in east java using connected domination number theory 5

Determination of bulog regional sub-division in east java us...

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5th International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2021

作者： Umilasari, Reni Saifudin, Ilham Study Program of Informatics Engineering Universitas Muhammadiyah Jember Jl. Karimata 49 Jember68121 Indonesia

Bulog is a state-owned public company engaged in food logistics. There are about 18 Bulog warehouses in East Java Province with an uneven distribution. Because the scope of Bulog's business includes logistics or warehousing, surveys and pest eradication, provision of plastic bags, transportation business, food commodity trading and retail business, there must be good coordination between regional sub-divisions and warehouse complexes. In this study, the minimum regional sub-division recommendations in the East Java region were determined using the theory of connected domination number in graphs. The location of the warehouse complex is described as the vertex and adjacent warehouse complexes are connected by edges. In this research, we also determine the connected domination number of unicyclic graph and vertex amalgamation operations for several classes of graphs. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Metals

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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 ...

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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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