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      •   UMY Repository
      • 03. DISSERTATIONS AND THESIS
      • Students
      • Undergraduate Thesis
      • Faculty of Engineering
      • Department of Electrical Engineering
      • View Item
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      PENDETEKSI KADAR ALKOHOL BERBASIS INTERNET OF THINGS (IOT)

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      COVER (94.57Kb)
      HALAMAN JUDUL (729.6Kb)
      HALAMAN PENGESAHAN (494.4Kb)
      ABSTRAK (7.876Kb)
      BAB I (149.3Kb)
      BAB II (469.9Kb)
      BAB III (688.0Kb)
      BAB IV (510.1Kb)
      BAB V (10.05Kb)
      DAFTAR PUSTAKA (73.02Kb)
      LAMPIRAN (156.0Kb)
      NASKAH PUBLIKASI (719.6Kb)
      Date
      2020
      Author
      PRAYITNO, PRATAMA GALISTYAN
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      Abstract
      For Muslims, consuming food and alcoholic beverages is strictly forbidden because of the intoxist. In Indonesia, the act of drunkenness can be forged. Authorities in identifying drunkard generally use blood tests and urine tests that take a while. This research is designing the prototype of an IoT-based alcohol content detection tool. The tool can display alcohol and liquor levels on its displayas well as the flip-flop sound removed from the Buzer as a liquor class indicator, it can also display the measurement result data on other devices using the Thinger.io platform. The results of this study can be noted that when source Voltage Adapter 5V in the room temperature 19oC 94.84% accuracy tool, when the adapter is source 5V adaptor voltage in the room temperature 28oC 96.03% accuracy tool and when the battery voltage source equipment in the room temperature 28oC equipment accuracy 89.66%.
      URI
      http://repository.umy.ac.id/handle/123456789/35544
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      • Department of Electrical Engineering

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