Wireless Intelligent Power Switch berbasis Wireless Sensor Network
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Wireless Intelligent Power Switch berbasis Wireless Sensor Network |
| 2. | Creator | Author's name, affiliation, country | Ridho Hendra Yoga Perdana; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Amalia Eka Rakhmania; politeknik negeri malang; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Aad Hariyadi; politeknik negeri malang; Indonesia |
| 3. | Subject | Discipline(s) | Electrical Engineering; Telecommunication Engineering |
| 3. | Subject | Keyword(s) | Smart Grid; Artificial Intelligent; Neural Network; Renewable Energy; Power Switch |
| 4. | Description | Abstract | Increasing demand for electricity also implies a rise in conventional energy use, and by using conventional energy, leading to disadvantages such as being environmentally unfriendly as a result of fossil fuel use. The system to be researched is a wireless intelligent power switch. The system will be created using 2 types of resources and each load will be linked to a switch to determine the power distribution. The power distribution decision making involves an artificial intelligence-based on backpropagation neural network. The results of the comparison between the outcomes of Matlab simulation and the anticipated target showed excellent outcomes after testing the system, with accurate 94.3% and delay transmission 5 – 10 second. |
| 5. | Publisher | Organizing agency, location | LPPM Institut Teknologi Adhi Tama Surabaya (ITATS) |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2020-05-29 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | PDF (Bahasa Indonesia) |
| 10. | Identifier | Uniform Resource Identifier | https://ejurnal.itats.ac.id/iptek/article/view/644 |
| 10. | Identifier | Digital Object Identifier (DOI) | https://doi.org/10.31284/j.iptek.2020.v24i1.644 |
| 11. | Source | Title; vol., no. (year) | Jurnal IPTEK; Vol 24, No 1 (2020) |
| 12. | Language | English=en | id |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2020 Authors This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. |