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<https://repository.unigoro.ac.id/id/eprint/6439> <http://purl.org/ontology/bibo/abstract> "Penelitian ini bertujuan menganalisis efisiensi dan akurasi sistem Smart Energy Monitoring berbasis Internet of Things (IoT) melalui perbandingan hasil pengukuran dengan alat ukur standar menggunakan metode regresi linier sederhana. Sistem mampu memantau parameter kelistrikan berupa tegangan (Volt), arus (Ampere), dan daya (Watt) secara real-time menggunakan sensor yang terintegrasi dengan mikrokontroler dan platform Blynk. Pengambilan data dilakukan selama satu bulan dengan membandingkan hasil pengukuran sistem IoT terhadap alat ukur standar sebagai acuan. Analisis data menggunakan IBM SPSS Statistics melalui uji normalitas, uji linieritas, regresi linier sederhana, uji hipotesis, koefisien determinasi (R²), serta perhitungan offset dan koefisien koreksi sebagai dasar kalibrasi. Hasil penelitian menunjukkan adanya hubungan linier yang signifikan antara sistem IoT dan alat ukur standar pada parameter tegangan, arus, dan daya. Model regresi dapat digunakan sebagai dasar kalibrasi untuk meningkatkan kesesuaian hasil pengukuran. Sistem yang dikembangkan memiliki akurasi yang baik dan layak digunakan untuk pemantauan energi listrik secara real-time."^^<http://www.w3.org/2001/XMLSchema#string> .
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