Skripsi

MODEL MARKOV CHAIN SEBAGAI METODE ANALISIS PENGHEMATAN ENERGI PADA PERANGKAT INTERNET OF THINGS (IoT) DI SMART FARMING

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Smart farming applies Internet of Things (IoT) technology in modern agriculture to enhance efficiency and operational effectiveness. However, continuous operation of IoT devices often results in high energy consumption. This study aims to analyze and optimize energy usage of IoT devices using the Markov Chain model. Five key devices were monitored over four weeks: aerator, LED lamp, power head, submersible pump, and water heater. Device activity statuses were classified into four states: Absent, Sleep, Active, and Hyper-active. Transition probability matrices were constructed from the activity data to calculate steady-state distributions. The results indicated a dominance of high-energy consumption states. Energy-saving strategies were developed for both short-term and long-term implementation, considering energy supply and aquaculture operations. After optimization, energy consumption decreased by 14.46% without reducing system functionality. These findings demonstrate that the Markov Chain model is an effective decision-support tool for managing energy consumption in IoT-based Smart farming systems.

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Availability

Detail Information

Series Title

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Call Number

T1894512025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xvi, 152 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.607

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Jaringan Komunikasi Komputer
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

MI

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