Sistem Rekomendasi Tanaman Berdasarkan Data Nutrisi Tanah Menggunakan Weighted Linear Combination

Dyas Hidayatullah, Naufal (2026) Sistem Rekomendasi Tanaman Berdasarkan Data Nutrisi Tanah Menggunakan Weighted Linear Combination. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Banyak petani di Indonesia masih menentukan komoditas yang akan ditanam berdasarkan pengalaman dan kebiasaan, tanpa mempertimbangkan kondisi fisik dan kimia lahan yang sesungguhnya. Praktik tersebut berisiko menurunkan produktivitas apabila tanaman yang dipilih tidak cocok dengan karakteristik tanah, sehingga pertumbuhannya terganggu. Penelitian ini bertujuan merancang sistem rekomendasi tanaman berdasarkan kondisi lahan. Sistem mengintegrasikan sensor tanah untuk mengakuisisi enam parameter, yaitu suhu, kelembapan, pH, Nitrogen, Fosfor, dan Kalium. Data dikirimkan melalui jalur RS485 dengan protokol Modbus RTU menuju modul HF2211, yang mengonversinya menjadi paket TCP/IP agar dapat diterima oleh server. Enam parameter tersebut kemudian diolah menggunakan metode Weighted Linear Combination (WLC) dengan bobot kriteria yang ditentukan melalui Analytical Hierarchy Process (AHP), untuk menghasilkan skor kesesuaian lahan terhadap 22 komoditas tanaman. Acuan kebutuhan tiap komoditas diperoleh dari Kaggle. Seluruh proses pengolahan data dijalankan pada sebuah server, yang bertugas menerima, menyimpan, dan menampilkan hasil rekomendasi tanaman pada dashboard menggunakan website. Pengujian dilakukan menggunakan dua sampel tanah komposit yang diambil dari lokasi berbeda, yaitu perkebunan pisang di kawasan Djuanda, Surabaya, dan greenhouse di Sukodono, Sidoarjo. Hasil pengujian menunjukkan bahwa perhitungan bobot kriteria melalui AHP memenuhi syarat konsistensi dengan nilai Consistency Ratio 0,59% (kurang dari 10%), sedangkan pembacaan sampel tanah yang diambil dari greenhouse menghasilkan skor kesesuaian tertinggi untuk komoditas Anggur sebesar 68%.
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A lot of farmers in Indonesia still determine the crops to be planted based on experience and past habits, without considering the actual physical and chemical conditions of the land. Such practices risk lowering productivity if the chosen crops are not suitable for the soil characteristics, leading to disrupted growth. This research aims to design a crop recommendation system based on land conditions. The system integrates a soil sensor to acquire six parameters, namely temperature, humidity, pH, Nitrogen, Phosphorus, and Potassium. Data is transmitted via an RS485 line using the Modbus RTU protocol to the HF2211 module, which converts it into TCP/IP packets so it can be received by the server. The six parameters are then processed using the Weighted Linear Combination (WLC) method with criteria weights determined through the Analytical Hierarchy Process (AHP), to produce land suitability scores for 22 crop commodities. The reference dataset for the requirements of each commodity is obtained from Kaggle. The entire data processing is run on a server, which is tasked with receiving, storing, and displaying the crop recommendation results on a web-based dashboard. Testing was conducted using two composite soil samples taken from different locations, namely a banana plantation in the Djuanda area, Surabaya, and a greenhouse in Sukodono, Sidoarjo. The test results show that the criteria weight calculation through AHP meets the consistency requirements with a Consistency Ratio value of 0.59% (less than 10%), while the reading of the soil sample taken from the greenhouse produces the highest suitability score for grapes at 68%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Weighted Linear Combination, Analytical Hierarchy Process, Rekomendasi Tanaman, Internet of Things (IoT), Skor Kesesuaian Lahan
Subjects:	Q Science > QA Mathematics > QA76.9.I58 Recommender systems (Information filtering) T Technology > T Technology (General) > T58.62 Decision support systems T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Naufal Dyas Hidayatulloh
Date Deposited:	10 Aug 2026 02:06
Last Modified:	10 Aug 2026 02:06
URI:	http://repository.its.ac.id/id/eprint/144178

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