Himmawan Sapta Adhi, - and Diky Zakaria, - and Mahudah Salwa Gianti, - (2025) IMPLEMENTASI SISTEM KONTROL DAN MONITORING PENYIRAMAN SOFTSCAPE BERBASIS IOT DAN FUZZY LOGIC UNTUK EFISIENSI BIAYA OPERASIONAL PERAWATAN TAMAN. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Penyiraman softscape secara manual di lingkungan perkantoran sering kali menyebabkan pemborosan air, tingginya biaya operasional, serta ketidakefisienan waktu. Untuk mengatasi permasalahan tersebut, penelitian ini berfokus untuk mengembangkan sistem kontrol dan monitoring penyiraman otomatis berbasis IoT dan logika fuzzy untuk meningkatkan efisiensi biaya operasional perawatan softscape. Metode penelitian menggunakan metode Research and Development (R&D) dengan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Sistem dirancang menggunakan mikrokontroler ESP32, sensor kelembaban tanah kapasitif, sensor intensitas cahaya TEMT6000, solenoid valve, serta integrasi dengan platform Blynk dan Google Spreadsheet. Pengujian meliputi validasi sensor, evaluasi kinerja sistem, dan analisis efisiensi biaya operasional. Hasil penelitian menunjukkan sistem mampu melakukan penyiraman adaptif sesuai kondisi lingkungan dengan tingkat akurasi tinggi, dibuktikan dengan nilai koefisien determinasi (R²) sebesar 0,776 dari perbandingan hasil simulasi MATLAB dan output aktual. Analisis efisiensi menunjukkan penghematan biaya operasional lebih dari 99%, dengan periode pengembalian investasi (payback period) selama 48 hari. Implementasi sistem ini terbukti efektif dalam meningkatkan efisiensi penyiraman, mengurangi biaya operasional, dan meminimalkan pemborosan air, sehingga layak diterapkan pada pengelolaan lanskap perkantoran maupun area publik lainnya, dengan potensi pengembangan melalui penambahan parameter lingkungan dan algoritma optimasi lanjutan. ----- Manual softscape watering in office environments often leads to water waste, high operational costs, and time inefficiency. To address these issues, this study focuses on developing an IoT-based automatic watering control and monitoring system using fuzzy logic to improve the cost efficiency of softscape maintenance. The research method employs the Research and Development (R&D) approach with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The system is designed using an ESP32 microcontroller, capacitive soil moisture sensor, TEMT6000 light intensity sensor, solenoid valve, and integration with the Blynk platform and Google Spreadsheet. Testing includes sensor validation, system performance evaluation, and operational cost efficiency analysis. The results show that the system can perform adaptive watering according to environmental conditions with high accuracy, as evidenced by a coefficient of determination (R²) value of 0.776 from the comparison between MATLAB simulation results and actual output. Efficiency analysis indicates operational cost savings of over 99%, with a payback period of 48 days. The implementation of this system has proven effective in improving watering efficiency, reducing operational costs, and minimizing water waste, making it feasible for application in office landscape management and other public areas, with potential for further development through the addition of environmental parameters and advanced optimization algorithms.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?view_op=list_works&hl=en&user=wA4M2dEAAAAJ ID SINTA Dosen Pembimbing: Diky Zakaria: 6779007 Mahmudah Salwa Gianti: 6779018 |
| Uncontrolled Keywords: | IoT, Logika Fuzzy Mamdani, Penyiraman Otomatis, ESP32, Blynk, ADDIE. IoT, Mamdani Fuzzy Logic, Automatic Watering, ESP32, Blynk, ADDIE. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | UPI Kampus Purwakarta > S1 Mekatronika dan Kecerdasan Buatan |
| Depositing User: | Himmawan Sapta Adhi |
| Date Deposited: | 08 Sep 2025 06:21 |
| Last Modified: | 08 Sep 2025 06:21 |
| URI: | http://repository.upi.edu/id/eprint/138134 |
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