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All Journal Jurnal Riset Informatika Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Nurhayati Nurhayati
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Journal : Jurnal Mantik

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School Information Three Dimensional Animation Using Blender Version 2.79: School Information Three Dimensional Animation Using Blender Version 2.79 Agam Beny Styawan; Nurhayati Nurhayati; Sari Ningsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

With the development of the movie and gaming industry the which is currently a field of motion capture has experienced rapid growth Also supports the development of the film and gaming industry. Captured motion in animation, it is important to create characters that move realistically, in a situation that is not practical or too dangerous for an actor. To Obtain the natural motion with the motion capture technique is still very low, due to the availability of equipment and application of human motion capture technology in the world of animation is still very expensive in terms of both hardware and software used. One type of human motion capture system that Utilizes optical motion capture cameras. The purpose of this study is to Obtain a realistic movement and shorten the time penganimasian for 3D animation filmmaking.
Exhaust Fan Control Design As Air Cleaner Based On Microcontroller: Exhaust Fan Control Design As Air Cleaner Based On Microcontroller Frinto Tambunan; Bambang T.J. Hutagalung; Nurhayati Nurhayati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The use of Exhaust fan is a device that we often encounter in our daily lives. And in its use is still controlled by humans themselves and classified as manual, so manual use is very inconvenient to exhaust fan users, so that if it is controlled systematically using fuzzy logic, where the logic to be implanted is, to accelerate the exhaust fan rotation rate if a value is obtained that will refer at the high level of impurities detected by sensors that have been setup and determined in such a way, so that exhaust fan can work in accordance with what is instructed by the logic that is embedded in the microcontroller system.
Deep Learning Implementation to Determine Vehicle Groups at Halim Toll Gate: Deep Learning Implementation to Determine Vehicle Groups at Halim Toll Gate Yedizha Afif Farhani; Fauziah Fauziah; Nurhayati Nurhayati
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

One of the solutions for the smooth flow of vehicles in big cities is to build toll road infrastructure. The toll road is a freeway with a paid system that can only be passed by four or more wheeled vehicles. There is often a buildup of vehicles when making payment transactions because the vehicle classification system is still manual or a wrong class occurs when payment transactions. To improve service quality, the use of deep learning to determine the class of vehicles or to correct transaction results is deemed effective. CNN method will classify vehicles based on two-dimensional image data. Vehicle data collection is done at the Halim Toll Gate..
Application of Data Mining Classification for Covid-19 Infected Status Using Algortima Naïve Method: Application of Data Mining Classification for Covid-19 Infected Status Using Algortima Naïve Method Puji Hari Santoso; Fauziah Fauziah; Nurhayati Nurhayati
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The number of virus infected status known as covid -19 is increasing in the southern Jakarta area, namely Pondok Labu, West Cilandak, Jagakarsa, Lenteng Agung, Pasar Minggu and Ragunan, it is necessary to classify the data to find out the negative status of covid-19 virus infection or positive infected with covid virus -19. The technique of classifying positive or negative covid-infected virus status with the naïve bayes classification method. To manage the data, software rapid miner 9. 6 is used, the infected status dataset covid -19 is obtained from the websitejeo. compass. CalculationPrediction shows the classification of the Naïve Bayes method obtained a positive prediction that shows a figure of 55.48% and a negative prediction result of 44.52%. From the results of the classification of data that has been obtained can be seen that the largest prediction found in the positive status infected with covid -19 virus reached 55.48%.
Co-Authors Agam Beny Styawan Bambang TJ Hutagalung Chairil Rohadi Fauziah Fauziah Frinto Tambunan Iman Cahyadi Iskandar Fitri Muklis Haryono Puji Hari Santoso Sari Ningsih Sumarhadi Sumarhadi Supriyanto Supriyanto Suryadi Suryadi Yedizha Afif Farhani Yolanda Nur Oktavia