Ariyanto, Ridho (2026) MENDETEKSI TINGKAT KEKERUHAN AIR MENGGUNAKAN METODE GAUSSION DAN FUZZY MAMDANI. Skripsi (Bachelor) thesis, Universitas Muhammadiyah Bengkulu.
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Abstract
Penelitian ini bertujuan untuk menganalisis tingkat kekeruhan air bendungan menggunakan integrasi metode Gaussian Proses Thresholding dan Fuzzy Mamdani. Tingkat akurasi sistem yang mencapai 84,6% dipengaruhi oleh ketepatan penentuan parameter pada kedua metode tersebut. Pada metode Gaussian, kualitas sensor kamera Samsung Galaxy A06 berperan penting dalam ekstraksi rata-rata nilai RGB yang stabil untuk proses thresholding. Selanjutnya, akurasi tinggi ini didukung oleh klasifikasi variabel pada metode Fuzzy Mamdani yang terbagi menjadi tiga rentang nilai kekeruhan, yaitu: Sangat Baik (0 - 350), Baik (450 - 800), dan Buruk (801 - 900). Sinergi antara pembersihan noise melalui Gaussian dan pengelompokan rentang nilai yang spesifik pada Fuzzy Mamdani terbukti mampu memberikan hasil deteksi yang presisi dan konsisten. Hal ini menunjukkan bahwa penggunaan parameter tersebut sangat efektif dalam mengklasifikasikan kualitas air bendungan berdasarkan citra digital. Kata Kunci: Kekeruhan Air, Gaussian Proses, Fuzzy Mamdani, Parameter Kualitas Air. This research aims to analyze the turbidity level of dam water using the integration of Gaussian Process Thresholding and Fuzzy Mamdani methods. The system's accuracy, which reached 84,6%, is influenced by the precise determination of parameters in both methods. In the Gaussian method, the camera sensor quality of the Samsung Galaxy A06 plays a crucial role in extracting stable average RGB values for the thresholding process. Furthermore, this high accuracy is supported by the variable classification in the Fuzzy Mamdani method, which is divided into three turbidity value ranges: Very Good (0 - 350), Good (450 - 800), and Bad (801 - 900). The synergy between noise reduction through Gaussian and specific value range grouping in Fuzzy Mamdani is proven to provide precise and consistent detection results. This indicates that the use of these parameters is highly effective in classifying dam water quality based on digital imagery. Keywords: Water Turbidity, Gaussian Process, Fuzzy Mamdani, Water Quality Parameters.
| Item Type: | Thesis (Skripsi (Bachelor)) |
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| Additional Information: | Pembimbing : Yovi Apridiansyah, S.Kom., M.Kom |
| Uncontrolled Keywords: | Pengolahan Citra Digital |
| Subjects: | Universitas Muhammadiyah Bengkulu > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika 02-Fakultas Teknik > 55201-(S1) Teknik Informatika |
| Divisions: | 02-Fakultas Teknik > 55201-(S1) Teknik Informatika Subjek Terkait > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika |
| Depositing User: | Mrs Hesti Ayu |
| Date Deposited: | 04 Sep 2026 02:07 |
| Last Modified: | 04 Sep 2026 02:07 |
| URI: | http://repository.umb.ac.id/id/eprint/3416 |
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