AbstrakPerusahaan skala kecil dan menengah membawa pengaruh yang tinggi bagi keseluruhan industry dan kontribusi yang penting bagi perkembangan ekonomi suatu negara. Bagaimanapun, UKM telah terbukti dapat menanggulangi permasalahan-permasalahan yang berkaitan dengan biaya yang tinggi dan investasi sumber daya, biaya pemesanan dan biaya inventory. Penelitian ini mengambil contoh perencanaan sumberdaya dan alokasi kapasitas yang dapat menanggulangi permasalahan ini secara optimal. Penelitian ini memiliki lima batasan yang berhubungan dengan perencanaan sumberdaya dan alokasi kapasitas dengan tujuan untuk memaksimalkan keuntungan. Pada penelitian ini, Algoritma Genetika digunakan untuk mencari solusi permasalahan yang optimal, dari beberapa percobaan yang telah dilakukan, terbukti bahwa Algoritma Genetika dapat secara efektif diimplementasikan pada model SME. AbstractSmall and medium enterprises (SMEs) account a high percentage of the total industrial establishments and bring essential contribution to national economic development. However, SMEs have suffered from some problems associated with highly cost of resource investment, backorder cost and inventory cost. This study takes into account in term of resource planning and capacity allocation that can effectively deal with these problems. A new model with five constraints related to resource planning and capacity allocation to maximize profit for SMEs is developed. In this paper, genetic algorithm is employed to find the optimal solution. Through an example illustrated, the proposed model can effectively apply for SME model.
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