Electronic Theses and Dissertation

Penelitian ini bertujuan untuk meningkatkan kualitas produk minyak wangi di Industri Minyeuk Pret, Aceh, melalui penerapan metode Taguchi dan Principal Component Analysis (PCA). Metode Taguchi digunakan untuk mengidentifikasi kombinasi optimal dari faktor-faktor yang mempengaruhi kualitas produk, seperti kecepatan pengisian, suhu mesin, kekencangan tutup botol, ketebalan material kemasan, dan perlakuan proses. Principal Component Analysis (PCA) diterapkan untuk mengatasi masalah multirespon, yang mencakup ketidaksesuaian dalam kemasan dan ketahanan aroma. Penelitian ini menggunakan rancangan eksperimen dengan matriks ortogonal L8(2^7) untuk mengoptimalkan kombinasi faktor dan level, serta menghitung kontribusi relatif
setiap faktor terhadap kualitas produk. Analisis data dilakukan menggunakan Signal to Noise Ratio (SNR) dan Analysis of Variance (ANOVA). Hasil penelitian menunjukkan bahwa metode Taguchi-PCA efektif dalam mengidentifikasi faktor-faktor signifikan, meningkatkan kualitas produk, dan meminimalkan produk cacat, sehingga memberikan kontribusi signifikan terhadap efisiensi proses produksi dan konsistensi kualitas.

Kata Kunci: Metode Taguchi, Principal Component Analysis (PCA), kualitas produk, multirespon, minyak wangi, Minyeuk Pret.

This study aims to improve the quality of fragrant oil products in Minyeuk Pret Industry, Aceh, through the application of Taguchi method and Principal Component Analysis (PCA). The Taguchi method is used to identify the optimal combination of factors that affect product quality, such as filling speed, machine temperature, bottle cap tightness, packaging material thickness, and process treatment. Principal Component Analysis (PCA) was applied to address the multiresponse problem, which includes incompatibilities in packaging and aroma resistance. This study used an experimental design with an orthogonal matrix L8(2^7) to optimize the combination of factors and levels, and calculate the relative contribution of each factor to product quality. Data analysis was conducted using Signal to Noise Ratio (SNR) and Analysis of Variance (ANOVA). The research results show that the Taguchi-PCA method is effective in identifying significant factors, improving product quality, and minimizing defective products, thus making a significant contribution to the efficiency of the production process and quality consistency. Keywords: Taguchi method, Principal Component Analysis (PCA), product quality, multiresponse, fragrant oil, Minyeuk Pret.