PENGARUH STRES DAN MOTIVASI KERJA TERHADAP PRESTASI KERJA KARYAWAN DI PT. BANK TABUNGAN NEGARA (PERSERO) TBK KANTOR CABANG BANDUNG

ABSTRAK Penelitian ini berawal dari ditemukannya masalah prestasi kerja yang belum optimal yang disebabkan oleh adanya stres kerja dan rendahnya motivasi kerja. Tujuan penelitian ini adalah untuk mengetahui dan menganalisa pengaruh stres kerja dan motivasi kerja terhadap prestasi kerja karyawan baik secara simultan maupun parsial di PT. Bank Tabungan Negara Kantor Cabang Bandung. Penelitian ini menggunakan pendekatan kuantitatif. Teknik pengumpulan data yang digunakan adalah penelitian lapangan (field research), studi kepustakaan (library research), dan angket penelitian. Metode analisis data yang digunakan adalah metode analisis linier regresi berganda, korelasi berganda, dan koefisien determinasi. Hasil penelitian ini menunjukan bahwa stres kerja berpengaruh negatif dan signifikan terhadap prestasi kerja karyawan. Motivasi kerja berpengaruh positif dan signifikan terhadap prestasi kerja karyawan. Sementara itu variabel stres dan motivasi berpengaruh signifikan bersama-sama terhadap prestasi kerja karyawan di PT. Bank Tabungan Negara Kantor Cabang Bandung. Kata Kunci : Stres Kerja, Motivasi Kerja, Prestasi Kerj

IST Austria Technical Report

We study algorithmic questions for concurrent systems where the transitions are labeled from a complete, closed semiring, and path properties are algebraic with semiring operations. The algebraic path properties can model dataflow analysis problems, the shortest path problem, and many other natural properties that arise in program analysis. We consider that each component of the concurrent system is a graph with constant treewidth, and it is known that the controlflow graphs of most programs have constant treewidth. We allow for multiple possible queries, which arise naturally in demand driven dataflow analysis problems (e.g., alias analysis). The study of multiple queries allows us to consider the tradeoff between the resource usage of the \emph{one-time} preprocessing and for \emph{each individual} query. The traditional approaches construct the product graph of all components and apply the best-known graph algorithm on the product. In the traditional approach, even the answer to a single query requires the transitive closure computation (i.e., the results of all possible queries), which provides no room for tradeoff between preprocessing and query time. Our main contributions are algorithms that significantly improve the worst-case running time of the traditional approach, and provide various tradeoffs depending on the number of queries. For example, in a concurrent system of two components, the traditional approach requires hexic time in the worst case for answering one query as well as computing the transitive closure, whereas we show that with one-time preprocessing in almost cubic time, each subsequent query can be answered in at most linear time, and even the transitive closure can be computed in almost quartic time. Furthermore, we establish conditional optimality results that show that the worst-case running times of our algorithms cannot be improved without achieving major breakthroughs in graph algorithms (such as improving the worst-case bounds for the shortest path problem in general graphs whose current best-known bound has not been improved in five decades). Finally, we provide a prototype implementation of our algorithms which significantly outperforms the existing algorithmic methods on several benchmarks