WISYUDHA, SONDY MARSUBEDI (2021) SMART GARDENING BERBASIS IOT DAN INFERENSI FUZZY LOGIC PADA TANAMAN STRAWBERRY. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The current pandemic problem has resulted in high demand for food. Especially the increasing need for fruits during a pandemic, one of the most popular fruits is strawberry. According to the Center for Economic Research of the Indonesian Institute of Sciences (LIPI), there is an increasing trend in the issue of meeting food needs, which was originally 34.51%, now has increased to 52.11%. especially those that can support food needs. Strawberry cultivation requires intensive care by paying attention to the moisture contained in the soil. In this research, smart gardening is designed in the form of automatic watering using Fuzzy and IoT. The method used in this research is fuzzy logic with the Mamdani rule model. The knowledge from fuzzy Mamdani can be used as a reference for when to water the plant or not, so that the plant's need for water is always fulfilled and the Thingspeak application is used for monitoring the condition of strawberry plants This research was conducted by collecting data in the morning afternoon and evening with an average result of getting a steady state error of 3% and the best performance to reach a set point of 20 seconds and a steady condition of 17 seconds and in this design a set point value of 55% was obtained. The results of sensor readings can be sent in real time and plant conditions can be monitored using the internet. Keywords: Smart Gardening, Fuzzy Logic, Internet of Things Permasalahan pandemi yang dihadapi saat ini berakibat pada tingginya kebutuhan pangan. Terutama meningkatnya kebutuhan buah buahan di masa pandemic, salah satu buah yang diminati adalah strawberry. Menurut Pusat Penilitian Ekonomi Lembaga Ilmu Pengetahuan Indonesia (LIPI) Ada kecenderungan peningkatan isu pemenuhan kebutuhan pangan, yang semula 34,51%, sekarang meningkat menjadi 52,11% Oleh karena itu pemerintah menganjurkan masyarakat unuk bersifat produktf dimasa pandemi seperti ini dengan cara menanam tanaman khusunya yang dapat menunjang kebutuhan pangan. Budidaya Tanaman strawberry memerlukan perawatan intensif dengan memperhatikan kelembaban air yang terkandung di dalam tanah. Dalam penilitian ini merancang smart gardening berupa penyiraman otomatis dengan menggunakan Fuzzy dan IoT. Metode yang digunakan dalam penelitian ini adalah fuzzy logic dengan model rule Mamdani. Pengetahuan dari fuzzy mamdani dapat dimanfaatkan sebagai acuan kapan saatnya tanaman tersebut disiram atau tidak, sehingga kebutuhan tanaman akan air selalu terpenuh dan aplikasi Thigspeak digunakan untuk monitoring kondisi tanaman strawberry Penilitian ini dilakukan dengan pengambilan data pagi siang dan sore dengan hasil rata rata mendapatkan error steady state sebesar 3% dan performa terbaik untuk mencapai set point sebesar 20 detik, dan kondisi steady sebesar 17 detik dan pada perancangan ini didapatkan nilai set point sebesar 55%. Hasil pembacaan sensor dapat dikirimkan secara realtime dan kondisi tanaman dapat dimonitoring dengan memanfaatkan internet. Kata kunci: Smart Gardening , Fuzzy Logic, Internet Of Things
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41419110004 |
| Uncontrolled Keywords: | Smart Gardening , Fuzzy Logic, Internet Of Things |
| Subjects: | 300 Social Science/Ilmu-ilmu Sosial > 320 Political dan Government Science/Ilmu Politik dan Ilmu Pemerintahan > 322 Relation of The State of Organized Groups/Hubungan Negara dengan Kelompok Sosial yang Terorganisir > 322.3 Business and Industry/Bisnis dan Industri 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 338 Production, Industrial Economics/Produksi, Ekonomi Industri > 338.3 Other Extractive Industries/Ekonomi Industri Lainnya 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 338 Production, Industrial Economics/Produksi, Ekonomi Industri > 338.4 Secondary Industries and Services/Industri dan Jasa Sekunder |
| Divisions: | Fakultas Teknik > Teknik Elektro |
| Depositing User: | Dede Muksin Lubis |
| Date Deposited: | 13 Jan 2022 03:28 |
| Last Modified: | 12 Jun 2023 07:08 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/54210 |
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