Otomasi sistem kelistrikan menggunakan algoritma a-star berbasis internet of things

Januar Al Amien; Evans Fuad; Muhammad Waqi Azizi

doi:10.31849/digitalzone.v9i2.1952

Januar Al Amien UNIVERSITAS MUHAMMADIYAH RIAU
Evans Fuad UNIVERSITAS MUHAMMADIYAH RIAU
Muhammad Waqi Azizi UNIVERSITAS MUHAMMADIYAH RIAU

DOI: https://doi.org/10.31849/digitalzone.v9i2.1952

Keywords: mikrokontroler, algoritma heuristik, internet of things, efektivitas dan penghematan listrik

Abstract

Meluasnya penerapan mikrokontroler dalam kehidupan kita sehari-hari mendorong penerapan yang lebih dalam, seperti mesin cuci piring pintar, kendali kendaraan pintar, serta perangkat rumah pintar yang merupakan ide-ide menarik untuk diterapkan. Aktivitas perkuliahan yang berlangsung dari pagi hingga malam hari mengindikasikan intensitas penggunaan energi listrik yang tinggi. Hal ini dikarenakan pembagian jadwal perkuliahan yang ada, didapatkan rata-rata kejadian kondisi perangkat kelistrikan ditinggalkan dalam kondisi hidup setelah perkuliahan selesai adalah 6-10 ruangan per hari per lokasi antara kampus 1 dan kampus 2. Tingginya tingkat pemborosan energi oleh ruangan yang ditinggalkan dalam kondisi perangkat listrik yang tetap hidup setelah aktivitas perkuliahan selesai, mendorong penerapan penggunaan algoritme heuristik sebagai kerangka kerja sistem pengendalian perangkat listrik otomatis. Sistem ini akan membantu penghematan biaya penggunaan energi listrik. Didukung oleh algoritme heuristik A-star, penerapan mikrokontroler Raspberry Pi 3 sebagai sistem kontrol utama sistem otomasi kelistrikan rumah/bangunan memberikan solusi penghematan konsumsi dan efektivitas penggunaan listrik.

Kata kunci: mikrokontroler, algoritme heuristik, internet of things, efektivitas dan penghematan listrik

Abstract

The widespread application of microcontrollers in our daily lives is a deeper application, such as smart dishwashers, smart vehicle access, and smart home devices which are interesting ideas to implement. Lecture activities that take place from morning to night indicate the high intensity of electrical energy usage. This is due to the distribution of the existing lecture schedule. It is found that the average incidence of electrical equipment left in living conditions after the lecture is complete is 6-10 rooms per day per location between campus 1 and campus 2. The high level of waste of energy by the room left in the condition electrical devices that remain alive after lecture activities are completed, encouraging the application of the use of heuristic algorithms as a framework for automated electrical appliance control systems. This system will help save the cost of using electricity. Supported by the A-star heuristic algorithm, the application of the Raspberry Pi 3 microcontroller as the main control system of home / building electrical automation systems provides solutions of saving consumption and the effectiveness of electricity usage.

Keywords: microcontroller, heuristic algorithm, effectiveness and saving electricity

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