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Sistem Kendali Lampu Otomatis Berbasis Iot (Internet Of Things) Menggunakan Node Mcu Hendi Setiawan; Farzin Abdaoe; Kevin Perdana
Jurnal Bangkit Indonesia Vol 9 No 1 (2020): Bulan Maret 2020
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjungpinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9007.269 KB) | DOI: 10.52771/bangkitindonesia.v9i1.130

Abstract

IoT (Internet of Things) is a concept that aims to expand the benefits of continuously internet connectivity. IoT (Internet of Things) can be used in a room as a tool to control electronic equipment that can be operated with a smartphone application via an internet connection. The application of the Internet of Things (IoT) based light control system uses the NodeMCU ESP8266 module as a microcontroller and the Android application as a controller. This system is used to control lights on or off. Also in this system design also uses a relay that is used as a liaison lamp with the system. From the results of testing and analysis, the control of electronic equipment on the lamp control system operates according to the instructions given. As long as the system is connected to the internet network stably and continuously, there will be no obstacles in the IoT (Internet of Things) based light control system using a NodeMCU.
Sistem Informasi Kebencanaan Daerah Kabupaten Bintan Berbasis Web dan MapBox API Mochammad Rizki Romdoni; Kevin Perdana; Zulfachmi Zulfachmi; Saharudin Saharudin
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The complexity of disaster threats requires structuring and anticipating targeted and integrated development planning and programs, so an information system is needed that can help stakeholders to actively participate in disaster mitigation and management. In this study, a regional disaster information system (SIMKEDA) was developed which was designed to suit the phases of disaster management, namely pre-disaster, emergency response, and post-disaster. The representation of the disaster intensity is presented using a mapping platform from the Mapbox API. After being developed SIMKEDA can process data processing according to the phases of disaster management.