REGRESI POHON KEPUTUSAN UNTUK MEMPREDIKSI KEKASARAN PERMUKAAN BAJA

GAOL, ANITA LUMBAN and Kresnawati, Endang Sri and Suprihatin, Bambang (2025) REGRESI POHON KEPUTUSAN UNTUK MEMPREDIKSI KEKASARAN PERMUKAAN BAJA. Undergraduate thesis, Sriwijaya University.

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Abstract

Kekasaran permukaan baja merupakan aspek krusial yang memengaruhi kualitas, daya tahan, dan performa material dalam berbagai aplikasi industri. Studi ini mengusulkan model prediksi kekasaran permukaan dengan mengintegrasikan Regresi Pohon Keputusan dan diskritisasi fuzzy berbasis kombinasi kurva Sigmoid dan Beta. Regresi Pohon Keputusan dipilih karena kemampuannya dalam menangani data non-linear dan kompleks, sedangkan diskritisasi fuzzy memungkinkan representasi data kontinu melalui derajat keanggotaan ganda, sehingga informasi lebih adaptif dan terjaga. Model dibangun berdasarkan 10 variabel, terdiri dari 9 variabel bebas dan 1 variabel terikat berupa rata-rata kekasaran permukaan. Evaluasi dilakukan menggunakan empat metrik utama: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), dan Koefisien Determinasi (R^2). Hasil menunjukkan nilai MAE sebesar 0,2144; RMSE 0,2615; MAPE 42%; dan R^2 sebesar 0,5825, yang mencerminkan tingkat akurasi yang cukup baik namun masih dapat ditingkatkan. Kata kunci: Regresi pohon keputusan, diskritisasi fuzzy, kekasaran permukaan Baja.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Regresi Pohon Keputusan, Diskritisasi Fuzzy
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics > QA279.M94 Experimental design, Response surfaces (Statistics)
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Anita Br Lumbangaol
Date Deposited:	24 Jul 2025 07:45
Last Modified:	24 Jul 2025 07:45
URI:	http://repository.unsri.ac.id/id/eprint/180345

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