Penerapan Logika Fuzzy Mamdani pada Prototipe Berbasis Internet of Things untuk Prediksi Lahan Tanaman Jeruk

Sufianto, Genta (2023) Penerapan Logika Fuzzy Mamdani pada Prototipe Berbasis Internet of Things untuk Prediksi Lahan Tanaman Jeruk. Undergraduate thesis, MUHAMMADIYAH UNIVERSITY JEMBER.

	Text 1. PENDAHULUAN.pdf Download (5MB)
	Text 2. Abstrak.pdf Download (619kB)
	Text 3. BAB I.pdf Download (861kB)
	Text 4. BAB II.pdf Restricted to Repository staff only Download (1MB) | Request a copy
	Text 5. BAB III.pdf Restricted to Repository staff only Download (833kB) | Request a copy
	Text 6. BAB IV.pdf Restricted to Repository staff only Download (1MB) | Request a copy
	Text 6. BAB V.pdf Restricted to Repository staff only Download (748kB) | Request a copy
	Text 7. DAFTAR PUSTAKA.pdf Download (723kB)
	Text 8. ARTIKEL ILMIAH.pdf Restricted to Repository staff only until 2030. Download (791kB) | Request a copy

Abstract

The internet of things (IoT) has revolutionized various sectors, including agriculture. Accurate predictions of agricultural yields can help farmers and agriculturalists optimize land and resource management. One of the important plants in the agricultural industry is citrus plants. This study aims to develop an IoT-based prototype that utilizes Mamdani type fuzzy logic to predict citrus agricultural yields. Fuzzy logic is used because it is able to handle the uncertainty and complexity of agricultural environmental data. The Mamdani fuzzy logic model was built by considering input variables from sensors and linguistic rules provided by agricultural experts. The output of this fuzzy logic system is predictions regarding orange yields, which can assist farmers in making decisions regarding plant care. The results show that the proposed prototype is able to provide predictions of orange yields with a sufficient degree of accuracy. The integration between IoT and Mamdani fuzzy logic provides an efficient and effective way of optimizing the management of citrus farms.

Contribution

Nama Dosen Pembimbing

NIDN/NIDK

UNSPECIFIED

Cahyanto, Triawan Adi

nidn0702098804

UNSPECIFIED

Handayani, Luluk

nidn0725108003

Item Type:	Thesis (Undergraduate)
Keywords/Kata Kunci:	Internet of Things (IoT), Mamdani Fuzzy Logic, Citrus Prediction, Sustainable Agriculture
Subjects:	000 Computer Science, Information, & General Works > 005 Computer Programming, Programs, & Data
Divisions:	Faculty of Engineering > Department of Informatics Engineering (S1)
Depositing User:	Genta Sufianto | gentasufianto@gmail.com
Date Deposited:	25 Aug 2023 03:45
Last Modified:	25 Aug 2023 03:45
URI:	http://repository.unmuhjember.ac.id/id/eprint/19624

Actions (login required)

View Item