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IoT Framework Current Trends and Recent Advances to Management Company in The PT.TNC Teddy Surya Gunawan; B Herawan Hayadi; Cindy Paramitha; Muhammad Sadikin
JUDIMAS Vol 1, No 2 (2020): JUDIMAS
Publisher : STMIK Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jm.v1i2.1104

Abstract

The Internet of Things (IoT) is a fast growing and user-friendly technology that connects everything together. And it can communicate effectively between the people who connect "Things." Internet of Things, also known as Internet of Objects, usually refers to remote systems between projects. Systems will be remote and self-designable. However, the world's largest information technology companies tend to release products in the form of services to avoid disclosing detailed design and implementation knowledge. Hence, the overall trend of academic institutions is to use these mainstream IoT platforms as "black boxes". IoT is something that is useful as a sensor, computer architecture, software, security, packaging, technology selection based on the amount of data, as far as data is needed, whatever power you have. Fundamental way to collect and store data Thing: SQL, noSQL, and time series databases Machine learning algorithms with outputs: regression, classification, anomaly detection. Improve service quality, reduce service costs New models (precision services), Reduce consumption costs of higher quality products or services, Improve health and safety.
The Activity Activation Function Of Multilayer Perceptron - Based Cardiac Abnormalities: The Activity Activation Function Of Multilayer Perceptron - Based Cardiac Abnormalities Mutiara S. Simanjuntak; Wanayumini Wanayumini; Rika Rosnelly; Teddy Surya Gunawan
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

Cardiac disorders refer to irregular activity at the heart. Cardiac abnormalities sometimes do not exhibit any and unreasonable symptoms that can lead to sudden death due to heart-cracking functions. This article is to develop a program capable to detect cardiac abnormalities activity through the application of Multilayer Perceptron (MLP). A certain number of heart rate signal data from an electrocardiogram (EKG) will be used in this paper to train and to test the network performance of the MLP. MLP is trained by several techniques that Backpropagation (BP), Bayesian regularity (BR), and Levenberg-Marquardt (LM).
PELATIHAN PENERAPAN SENSOR SUARA UNTUK RUANGAN CERDAS DALAM MENDETEKSI ASAP DAN PINTU OTOMATIS PADA PT. TNC Teddy Surya Gunawan; Wulan Dari; Muhammad Sadikin
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 2, No 1 (2021): VOLUME 2. NO 1. APRIL 2021
Publisher : ISB Atma Luhur

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Abstract

The use of various devices that can work automatically so that they can help alleviate human activities which will certainly use a lot of power if their use is not controlled properly and optimally according to needs such as those used in the study room, namely lighting and air conditioning (fans, air conditioners). lights, etc.). So with the existence of a system of controlling electricity usage in the study room that can work independently, it is hoped that it can save more power usage. Automation of power consumption in microcontroller-based learning rooms is a tool used to detect and display human capacity and temperature in the study room and to regulate the active or inactivity of air conditioners equipped with smoke sensors and sound sensors. The air conditioner will turn on when there are people in the room and the room temperature exceeds the set point (set value) temperature that has been set as desired.  This tool consists of a microcontroller as the main controller, a photodiode to detect people entering and leaving the room, LM35 as a temperature detector in the room, LCD (Liquid Crystal Display) as a display of the number of people and the temperature in the room