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All Journal Journal of Mathematics, Computation and Statistics (JMATHCOS) Limits: Journal of Mathematics and Its Applications
Kariyam Kariyam
Universitas Islam Indonesia
Computer Science & IT Mathematics

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Identifikasi Preferensi Konsumen pada Pembelian Produk Skincare menggunakan Analisis Konjoin Kariyam Kariyam; Eileen Lyana Putri
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 3 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 3 Edisi No
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i3.4509

Abstract

Produk skincare adalah produk perawatan kecantikan yang digunakan untuk mencegah, memperbaiki, dan mengatasi masalah kulit seperti jerawat, noda bekas jerawat, flek, atau untuk mencerahkan kulit, mengatasi kulit hitam, menunda penuaan, atau mencerahkan kulit. Tujuan penelitian ini adalah untuk mengetahui preferensi konsumen terhadap pembelian produk skincare berdasarkan tiga karakteristik utama yaitu asal produk (lokal atau internasional), manfaat produk (mencerahkan, melembapkan, anti-aging), dan harga. Data dianalisis dengan pendekatan analisis konjoin untuk menentukan preferensi konsumen dalam memilih produk skincare. Hasil analisis menunjukkan bahwa produk yang paling disukai konsumen adalah produk lokal yang bermanfaat untuk mencerahkan kulit dengan harga di bawah lima puluh ribu. Mayoritas responden adalah perempuan yang berdomisili di pulau Jawa dengan rata-rata usia 23 tahun 9 bulan dan pekerjaan pelajar/mahasiswi. Mereka melakukan pembelian produk skincare sekali dalam satu sampai dua bulan. Berdasarkan model yang diperoleh menunjukkan bahwa manfaat dan asal produk lebih dipertimbangkan daripada harga.
Block-Based K-Medoids Clustering For Profiling Regions in Central Java Based On Employment Indicators Rio Aristiarto; Kariyam Kariyam
Journal of Mathematics, Computations and Statistics Vol. 9 No. 3 (2026): Volume 09 Issue 03 (September 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/hw6z1b10

Abstract

Employment is an important dimension of regional development because it reflects job opportunities, labour market participation, and social welfare. Single indicators cannot fully capture employment conditions, especially in regions with significant labour market disparities such as Central Java. This study groups regencies and cities in Central Java using multiple employment indicators and the Block-Based K-Medoids clustering algorithm. The study uses 2024 secondary data from the Central Java Statistics Agency, comprising the open unemployment rate, labour force participation rate, average monthly wage, proportion of youth aged 15–24 classified as NEET (not in education, employment or training), and number of industries. All variables were normalized with Min-Max normalization before clustering to ensure comparability across indicators with different measurement scales. The optimal number of clusters was determined using the Silhouette, Calinski-Harabasz, and Hartigan indices, all of which indicated that three clusters were optimal. The results show that Cluster 1 is characterized by relatively high unemployment and NEET rates and low wages, Cluster 2 represents regions with the most favourable employment conditions, and Cluster 3 has the highest average wages but the lowest labour force participation rate. These findings provide a useful basis for more targeted employment policy formulation in accordance with regional labour market characteristics, and they may support local governments in identifying priority areas for intervention and development planning.
Co-Authors Eileen Lyana Putri Rio Aristiarto