DECISION SUPPORT SYSTEM PENYALURAN KREDIT USAHA RAKYAT (KUR) MIKRO MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)
During the period of 2008, the distribution of KUR (Kredit Usaha Rakyat) is very effective when compared with the period of 2009. KUR velocity distribution may be due to the high banks in channeling the spirit of KUR, is quite effective dissemination among the banking and society, policy ATMR (Aktiva Tertimbang Menurut Risiko) are laxer and the many demands of prospective borrowers KUR decent but less bankable. The purpose of this paper is making obtaining priority weight of each factor and alternative options to choose borrowers who received micro-enterprise credit people with the greatest priority. The method this study outlined three stages in solving the problem. The first phase, the analysis was conducted to analyze the problem. The second step is data collection began with the distribution of questionnaires, observation, interview, and literature study. Data analysis phase as the third stage, data analysis methods will be used is Analytical Hierarchy Process (AHP) in decision-making with the Expert Choice program analysis which is computer software to determine the choices in making decisions with multiple criteria decision making based on the methodology developed by Saaty. Results Decision Support system Kredit Usaha Rakyat Mikro disbursement by the banks which consists of six criteria: income level, a frequency of credit, length of business, venture capital, education, loan repayment. The highest weighting is the criteria for venture capital, followed by the frequency of credit, length of business, income level, educational level, and the last time loan repayment. Priority for the alternative name for the micro business sector borrowers candidate Peoples Business Loan (KUR) Micro getting KUR Micro is Food Enterprises, grocery and Business Enterprises Business Services, and Agriculture and Fisheries.
Etzioni, Amitai, Mixed Scaning : A thirh Approach to Decision Making, Public Adminitrasion Review, 1987 Lindblom, C.E, The policy Making Process, Englewood Clifts, N.J. Prentice Hall, 1968.
Indra Idris. 2009. Kajian Dampak Kredit Usaha Rakyat, Deputi Bidang Pengkajian Kementerian Koperasi dan UKM Latifah, Siti. 2005. “Prinsip – prinsip dasar Analytical Hierarchy Process”. Jurnal Studi Kasus Fakultas Pertanian, Universitas Sumatera Utara (USU), Medan
Mulyono, Sri. 1996. Teori Pengambilan Keputusan. Jakarta: Fakultas Ekonomi Universitas Indonesia.
S.Triwulandari, 2009. Pemilihan Pemasok Cooper Rod Menggunakan Metode ANP , Jurnal J@ti Undip Vol IV, No 3.
Saaty, T.L. 1987. Uncertainty and rank order in the analytic hierarchy process. European Journal of Operational Research 32:2737.
Supranto. J. 1992. Teknik Sampling untuk survei dan eksperimen. Jakarta: Rineka Cipta.
Susila, W dan Munadi, Ernawati. 2007. “Penggunaan Analytic Hierarchy Process Untuk Penyusunan Prioritas Proposal Penelitian”, Jurnal Informatika Pertanian Vol. 16, No. 2. Departemen Pertanian.
Turban. 2005.Decision Support Systems and Intelligent Systems (Sistem pendukung keputusan dan system cerdas) Jilid 1, AndiOffset, Yogyakarta.
Vanany, iwan. Aplikasi Anlytic Network Process (ANP) Pada Perancangan Sistem Pengukuran Kinerja , Jurnal Teknik Industri Vol 5, 1 Juni 2003: 50-62
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