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Smart Gardening Berbasis IoT Dan Inferensi Fuzzy Tsukamoto Pada Studi Kasus Tanaman Stroberi

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Abstract Strawberry plants need intensive treatments,
especially in regards to maintaining the water content of the
soil or the soil moisture. However, for most people, they do
not have much free time to take care of strawberry plants.
Therefore, some tools to automate the treatment for
strawberry plants are needed, such as Internet of Things
(IoT). To determine the appropriate time of watering the
plants, Fuzzy Tsukamoto method is used. This method helps
to determine the duration of watering the plants in order to
maintain the soil moisture where the plants grow on. Thus,
the use of both methods is expected to help in the treatment
of strawberry plants. Then the use of the drip irrigation
system will make the plants watering more effective because
the use of water becomes more targeted and efficient. The
result on the use of IoT and Fuzzy Tsukamoto inference on
watering the strawberry plants are 5.62% of watering and
94.38% of not watering in nine hours.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

004.678 .Ahm.s

Penerbit

Universitas Mataram : Fakultas Teknik Unram.,

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

004.678

Tipe Isi

other

Tipe Media

computer

Tipe Pembawa

audio disc

Edisi

Edisi 1 Jilid 1

Subjek

fuzzy tsukamoto IoT, Strawberry, soil moisture, wa

Info Detail Spesifik

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Pernyataan Tanggungjawab

Ahmad Fatoni Dwi Putra

Versi lain/terkait

Lampiran Berkas

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