METAL: JURNAL SISTEM MEKANIK DAN TERMAL -VOL. 04 NO. 02 (2020) 70-81 Terbit online pada laman web jurnal : http://metal.ft.unand.ac.id METAL: Jurnal Sistem Mekanik dan Termal | ISSN (Print) 2598-1137 | ISSN (Online) 2597-4483 | Attribution-NonCommercial 4.0 International. Some rights reserved Artikel Penelitian Rancang Bangun Sistem Kontrol dan Monitoring Data Turbin Angin Berbasis Website Menggunakan Raspberry Pi 3B+ Meiki Eru Putra a , Zulkifli Amin b , Islahuddin a , Sanny Ardhy a a Program Studi Teknik Mesin, Universitas Dharma Andalas, Simpang Haru, Kota Padang 2500, Indonesia b Jurusan Teknik Mesin, Universitas Andalas, Kampus Limau Manis, Kota Padang 25163, Indonesia INFORMASI ARTIKEL ABSTRACT Sejarah Artikel: Diterima Redaksi: 05 September 2020 Revisi Akhir: 15 September 2020 Diterbitkan Online: 08 Oktober 2020 Indonesia has considerable wind energy potential. Energy generation system performance can be monitored and controlled through the Internet of Things (IoT) technology. However, research and development of IoT technology in wind turbines in Indonesia is still low. Therefore, in this study, the author seeks to conduct research related to the development of a website-based wind turbine control and data monitoring system. This research uses a 3 blade horizontal axis wind turbine (NACA 2410). The monitoring system uses the Raspberry Pi 3B + microcontroller and several sensor devices such as the IR LM393 speed sensor to measure wind speed and shaft rotation speed, and the INA219 current-voltage sensor to measure the voltage and current of a 350 Watt DC generator. The website was created using the Laravel 5.8 PHP framework and Chart.js. Furthermore, the sensor calibration process and system testing are carried out. Based on the test results, it was found that the monitoring data system was functioning properly. The data has been successfully sent to the server and can be monitored in real-time via the website. Based on the results of the IR LM393 sensor calibration test, the linear regression equation y = 0.7881x + 13.837, and the value of R2 = 0.9934 is obtained. And the value of R2 = 0.9934 indicates that the sensor calibration process is well correlated. The results of testing the control system and monitoring of wind turbine data monitored through the website for 1 x24 show that the highest wind potential occurs at 13.00 to 14.00 WIB, namely at a wind speed of 3.74 m / s. KATA KUNCI Sitem kontrol Monitoring Turbin Angin Website Raspberry Pi 3B+ KORESPONDENSI E-mail: meikieruputra@gmail.com 1. PENDAHULUAN Potensi energi angin di Indonesia sangat besar. Akan tetapi, hingga saat ini pemanfaatan Energi Baru Terbarukan (EBT) ini masih rendah. Revolusi Industri 4.0 menuntut perubahan besar dalam pemanfaatan internet sebagai media pendukung dalam penyelesaian berbagai permasalahan yang ada pada saat ini. Setiap perangkat, sensor atau sistem pembangkit energi dapat terhubung melalui internet dengan menafaatkan teknologi Internet of Things (IoT). Sehingga setiap data yang diperoleh melalui sensor, performa alat, kondisi terkini dan analisa data serta permasalahan yang terjadi pada sebuah sistem pembangkit dapat diketahui secara langsung (live) melalui perangkat komputer yang terhubung melalui internet. Namun, pemanfaatan teknologi IoT pada pembangkit listrik EBT khususnya untuk Pembangkit Listrik Tenaga Bayu (PLTB) masih sangat minim. Pada tahun 2016, Muhamamad Hanif Abdillah, dkk telah melakukan penelitian dan pemanfaatan