Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Asset Inventory Maintenance System Using the Genetic Algorithm Method at the National University: Asset Inventory Maintenance System Using the Genetic Algorithm Method at the National University Iqbal Fajar Afrian; Moh. Iwan Wahyuddin; Novi Dian Natasha
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Scheduling the maintenance of asset inventory is very important in increasing effectiveness and work efficiency. National University has fixed assets as supporting lectures such as computers, air conditioners, printers, projectors, and others. However, the asset inventory management at the National University has not yet reached effectiveness and good efficiency, the National University does not yet have a special asset database to facilitate scheduling and improvement in maintaining asset inventory. This makes it difficult to track down asset damage. This problem often makes it difficult for asset managers at the National University to know the condition of the assets, whether damaged or lost. That makes asset management not good. Therefore, a system that can run an asset management business process is neat and structured so that asset managers can easily manage maintenance maintenance and repair assets. The design process uses the Genetic Algorithm method. it starts with identifying the asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of assets at the National University. it starts with identifying the asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of assets at the National University. it starts with identifying the asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of assets at the National University
Water Level Monitoring and Flood Early Warning Using Microcontroller With IoT Based Ultrasonic Sensor Agus Diriyana; Ucuk Darusalam; Novi Dian Natasha
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 1 (2019): Informatika
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (814.721 KB) | DOI: 10.35335/cit.Vol11.2019.9.pp22-28

Abstract

In recent years, floods Often result in material, financial and even loss of life. The absence of an early warning system when floods occur makes people less aware of the occurrence of floods. In this study, Researchers designed a flood detection system that works automatically to monitor water levels and send an early flood warnings. This water level monitoring system uses the nodemcu esp8266 with ultrasonic sensors and based on IOT to provide real-time the data to find out the water level created at Certain levels. This system is connected online that displays real-time water level data on the thingspeak platform and is integrated with the telegram application as a flood early warning. The results of the test of this system design have accuracy of ultrasonic sensors on the which produce an average error rate of 0.78% and an average error of 1 cm.