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4th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2019

作者： Awangga, Rolly Maulana Pane, Syafrial Fachri Majesty, Dinda Setiawan, Asep Asyhari, Moch Yusuf Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Universitas Islam Indonesia Magister Program of Informatics Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728151182

The phenomenon of mothers giving the wrong vehicle signal lights to turn left and right reminds the effect of giving the right signal lights to other road users. Weak human concentration while driving can cause errors when giving vehicle signal lights or not giving vehicle signal lights. Mistakes when giving a signal light a vehicle has a risk of an accident. The driver's brain wave data will show the results of the rider's brain thinking when turning. This study aims to analyze the concentration of the driver when driving. This research will obtain driver brain wave data when driving and analyze human brain waves while riding a motorcycle, especially when turning left and right, to reduce the risk of accidents while driving. The driver will use brain waves tool while driving, and the computer will detect the driver's brain waves, and then send brainwave data to the computer. Driver brain waves are analyzed using the formula entropy and gain. The results of the driver's brain waves become a decision whether the driver is allowed to drive on the highway based on the detected waves (alpha, beta, gamma, theta, and delta) to reduce the chance of an accident. © 2019 IEEE.

关键词： Entropy

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Comparison Of Multinomial Naive Bayes Algorithm And Logistic Regression For Intent Classification In Chatbot

Comparison Of Multinomial Naive Bayes Algorithm And Logistic...

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International Conference on applied engineering (ICAE)

作者： Muhammad Yusril Helmi Setyawan Rolly Maulana Awangga Safif Rafi Efendi Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia

ISBN: (纸本)9781538680674

Chatbot is software that communicates using natural language. chatbots such as machine conversation systems, Chatterbot, virtual agents, and dialogue systems. This software enables to simulate human conversations. In this research, the chatbot system that will be created must be able to understand the natural language of what is entered by the user, and the chatbot will answer according to what the user is expecting. The researcher proposes a classification method to identify intent rather than user input or called intent classification on the chatbot system; the researcher also wants to know the level of accuracy, precision, and recall on the evaluation results of both methods. The classification method applied in this research is the Naive Bayes method and compared with the Logistic Regression method to determine the class intention. The evaluation results show the level of accuracy precision and recall in the Logistic Regression model is higher than the Naive Bayes model.

关键词： Logistics Training data Bayes methods Mathematical model Data models Classification algorithms Natural languages

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Multi-Speaker Voice Cloning in Indonesian Using Sequence to Sequence Speech Synthesis

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SSRN 2022年

作者： Awangga, Rolly Maulana Majesty, Dinda Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung40151 Indonesia

Multi-Speaker Voice Cloning is a system that can produce various voices based on voice samples and text input. Voice cloning can be an alternative to get audio data quickly without recording, which requires a lot of time, cost, and effort. Sequence to Sequence Speech Synthesis produces sounds that are naturally similar to speech equivalent to the human voice. Sequence to Sequence Speech Synthesis is a technology for generating speech directly from the text, consisting of attention-based predictive network features. Multi-Speaker Voice Clone consists of speaker encoder, encoder-decoder, and vocoder models. Tacotron-2 as model encoder-decoder and WaveNet as a vocoder. The speaker encoder will produce a speaker embedding to recognize the sound from the speaker. Tacotron-2 will embed text into the mel scale spectrogram. WaveNet will synthesize the time domain waveform from the mel scale spectrogram and generate sound predictions based on the samples. This model uses a multi-speaker voice dataset in Indonesian. Combining the three models produces a value of 3.28 for speech naturalness and 1.94 for speech similarity. © 2022, The Authors. All rights reserved.

关键词： Cloning

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Entropy and Information Gain Analysis on Low Cost BCI for Motorbike Users to Prevent Accident

Entropy and Information Gain Analysis on Low Cost BCI for Mo...

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International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Rolly Maulana Awangga Syafrial Fachri Pane Dinda Majesty Asep Setiawan Moch Yusuf Asyhari Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Magister Program of Informatics Engineering Universitas Islam Indonesia Yogyakarta Indonesia

ISBN: (数字)9781728151182

ISBN: (纸本)9781728151199

关键词： Electroencephalography Entropy Turning Tools Calibration Motorcycles

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Smart Fish Feeder Using Arduino Uno With Fuzzy Logic Controller

Smart Fish Feeder Using Arduino Uno With Fuzzy Logic Control...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Nisa Hanum Harani Anggi Sholihatus Sadiah Anny Nurbasari Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Economics Maranatha Khristian University Bandung Indonesia

ISBN: (数字)9781728120942

ISBN: (纸本)9781728120959

Smart Fish Feeder is an automatic fish feeder that can be controlled using android smartphone. With this tool, fish owners will easily adjust the feeding schedule according to the recommended feed dose, and provide aquarium cleaning scheduling. In designing a fish feeder, there are some criteria such as temperature and time interval of feeding. The data collection has been done by interviewing ornamental fish traders. The data also has been obtained from literature studies that support problem solving theory. The Laravel framework is used to interpret the system while Firebase as the Database Management System. The Android is as a front end that interacts directly with the user. Automatic fish feeding systems are implemented using arduino micro-controller and prototype feeding devices. This research uses Fuzzy Logic Controller method. With the creation of the prototype smart fish feeder the device functions well in terms of both controller and push data. The results of the calculation of the duration of fish feed using the Fuzzy Sugeno Algorithm have been successfully applied to the smart fish feeder.

关键词： Fish Feeds Fuzzy logic Fuzzy sets Temperature sensors Microcontrollers

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An Analysis of Customer Agrotourism Resort Behaviour based on RFM and Mean Shift Clustering

An Analysis of Customer Agrotourism Resort Behaviour based o...

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International Conference on applied engineering (ICAE)

作者： Muhammad Ruslan Maulani Syafrial Fachri Pane Rolly Maulana Awangga Diana Asri Wijayanti Wahyu Caesarendra Diploma Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781538680674

This paper presents an analysis study of customer reservation behavior in Agrotourism N8 based on recency, frequency and monetary (RFM) method. The historical data from January to December 2016 were collected from Rancabali tour and used for RFM analysis. Prior to the RFM analysis, the data were grouped into frequency and monetary using mean shift clustering. This analysis will provide the guideline to Agrotourism N8 to predict the customer needs in the future based on historical data. The RFM method shows that Rancabali tour always crowded with visitors until the end of each month. The highest number of visitors occurred in January, July, and December. Moreover, The highest revenue earned in December. The mean shift shows the income-based cluster by the frequency of customer.

关键词： Companies Market research Bandwidth informatics Kernel Industries

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National Border Agency Communication Behaviour Clustering Using Centrality and Meanshift

National Border Agency Communication Behaviour Clustering Us...

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International Conference on applied engineering (ICAE)

作者： Sari Armiati Rolly Maulana Awangga Adji Suradji Muhammad Diploma Program of Informatics Management Politeknik Pos Indonesia Bandung Indonesia Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung Indonesia Faculty of Social and Political Science Universitas Maritim Raja Ali Haji Tanjungpinang Indonesia

ISBN: (纸本)9781538680674

Indonesia is Island Based Country with 1.905 million kilometers per square area. This territory area watching by National Border Agencies consists of a collaboration of many departments and government organization to make Indonesia strengthening the border. Indonesia has 6 neighboured country, Singapore, Malaysia, Philippine, Australia, Papua New Guinea, and Timor Leste. In Kepulauan Riau, have a direct border with Malaysia, Singapore, Vietnam, and Kamboja. This issue makes Kepulauan Riau have particular National Border Agencies from many Government Institution. In this research, conduct communication analysis between government Institution to run the task as National Border Agencies. The Analysis using Centrality from communication pattern in every institution. The centrality data clustering with meanshift to get a cluster of communication National Border Agencies.

关键词： Bandwidth Government Conferences Clustering algorithms Social network services Ontologies Level measurement

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SQL Collaborative Learning Framework Based on SOA

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Journal of Physics: Conference Series 2018年第1期1007卷

作者： S Armiati RM Awangga Applied Program of Informatics Management Politeknik Pos Indonesia Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia

The research is focused on designing collaborative learning-oriented framework fulfilment service in teaching SQL Oracle 10g. Framework built a foundation of academic fulfilment service performed by a layer of the working unit in collaboration with program Studi Manajemen Informatika. In the design phase defined what form of collaboration models and information technology proposed for program Studi Manajemen Informatika by using a framework of collaboration inspired by the stages of modelling a Service Oriented Architecture (SOA). Stages begin with analyzing subsystems, this activity is used to determine subsystem involved and reliance as well as workflow between the subsystems. After the service can be identified, the second phase is designing the component specifications, which details the components that are implemented in the service to include the data, rules, services, profiles can be configured, and variations. The third stage is to allocate service, set the service to the subsystems that have been identified, and its components. Implementation framework contributes to the teaching guides and application architecture that can be used as a landing realize an increase in service by applying information technology.

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Ontology Design of Influential People Identification Using Centrality

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Journal of Physics: Conference Series 2018年第1期1007卷

作者： Rolly Maulana Awangga Muhammad Yusril Helmi Setyawan Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Indonesia

Identifying influential people as a node in a graph theory commonly calculated by social network analysis. The social network data has the user as node and edge as relation forming a friend relation graph. This research is conducting different meaning of every nodes relation in the social network. Ontology was perfect match science to describe the social network data as conceptual and domain. Ontology gives essential relationship in a social network more than a current graph. Ontology proposed as a standard for knowledge representation for the semantic web by World Wide Web Consortium. The formal data representation use Resource Description Framework (RDF) and Web Ontology Language (OWL) which is strategic for Open Knowledge-Based website data. Ontology used in the semantic description for a relationship in the social network, it is open to developing semantic based relationship ontology by adding and modifying various and different relationship to have influential people as a conclusion. This research proposes a model using OWL and RDF for influential people identification in the social network. The study use degree centrality, between ness centrality, and closeness centrality measurement for data validation. As a conclusion, influential people identification in Facebook can use proposed Ontology model in the Group, Photos, Photo Tag, Friends, Events and Works data.

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Sampeu: Servicing Web Map Tile Service over Web Map Service to Increase Computation Performance

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IOP Conference Series: Earth and Environmental Science 2018年第1期145卷

作者： R M Awangga Applied Bachelor Program of Informatics Engineering Politeknik Pos Indonesia Bandung 40151 Indonesia

Open Geospatial Consortium (OGC) has a standard for cartographic over web service; there are Web Map Service (WMS) used by MapServer, Web Feature Service (WFS), and Web Map Tile Service. There is research on comparing two cartography information between WMS and WFS, so this research extends to proposed solution by comparing WMS and WMTS computation cost and created a product called Sampeu. Sampeu has proposed a solution by creating WMTS protocol over WMS. WMTS work on the tile-ing system where the data transform from big picture to part of the Tile is. A lot of Tile making a pyramid of cartography and serving to client one by one, so the computation cost can be decreasing.

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