Penerapan Metode Preference Selection Index Dalam Pemilihan Teller Terbaik

Abstract

In the era of globalization which is laden with competition, good service quality is a concern for companies that want to continue to exist, especially companies in the service sector such as banks in Indonesia. Institutions with low service quality will be less desirable or even abandoned by customers. Therefore, identification of service quality characteristics is needed in an effort to improve service quality. One of them is the teller who plays the most important role in customer service. Of course the selection of the best tellers must be done as well as possible. Based on these problems, the PSI method used in this study is to determine the teller by considering aspects of the determination that has been determined by the Bank. The aspects of determination which are the basis of determination by the Bank in determining the best teller are attitude, skill and appearance. By using the PSI method it is expected to be able to assist the leadership of the CIMB Niaga Bank in determining the teller process so that it is faster and more effective. Become a reference for research related to the Bank.

Comparative Analysis of Prediction Results of Decision Support Systems Simple Additive Weighting Method with Preference Selection Index in Determining Scholarship Recipients

“…The total score will be importance of each attribute [8] The PSI method aims to determine the relative relations between attributes if there is a conflict of interest in each attribute [9]. In practice, it is obtained with minimal and simple calculations because it is based on statistical concepts, and this method is used without requiring attribute weights because the PSI method can produce different weight values in its steps [10]. The following are the stages of the procedure for the PSI method [11]; 1.…”

“…The Preference Selection Index method is a method used 𝜃𝑖 = ∑ 𝑚 𝑋 𝑖𝑗 𝜔 𝑗 (10) to solve multi-criteria decision-making [7]. The PSI method aims to determine the relative importance of each attribute if there is a problem with the level of…”

Penerapan Metode Preference Selection Index dalam Penentuan Karyawan Terbaik pada PT. Prima Jaya Karya Makassar

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Prediksi Pengajuan Kredit Usaha Pada Koperasi Menggunakan Algoritma K-Nearest Neighbor

“…Kesulitan ekonomi membuat banyak orang melakukan segala cara untuk menyelamatkan diri sendiri dan berbuat kejahatan, hal yang paling sering dialami oleh banyak koperasi adalah penipuan nasabah terhadap peminjaman uang dalam jangka waktu tertentu dan dalam jumlah tertentu. Tindak kejahatan mulai dari penipuan, penggelapan uang hingga nasabah sulit mengembalikan uang yang telah dipinjam, hal ini akan berdampak buruk bagi keberlangsungan koperasi, dan juga para nasabah baru yang jujur dalam pengembalian uang [3]. Hal tersebut membuat pihak koperasi akan terus melakukan antisipasi dan langkah-langkah yang tepat dan aman dalam meminimalisirkan terjadinya hal-hal yang berdampak buruk pada perkembangan dan keberlangsungan sebuah koperasi [4].…”