Sistem Pendukung Keputusan Pemilihan Kinerja Karyawan Terbaik Menggunakan Metode Simple Additive Weight

Sistem Pendukung Keputusan adalah bagian dari sistem informasi berbasis komputer termasuk sistem berbasis pengetahuan atau manajemen pengetahuan yang di pakai untuk mendukung pengambilan keputusan di dalam suatu organisasi atau perusahaan. Saat ini pengelolaan data penilaian karyawan perusahaan masih dilakukan dengan manual, sehingga semakin besar resiko kesalahan dalam mengelola data dan membutuhkan waktu yang relatif lama. Untuk mempermudah perhitungan penentuan kinerja karyawan terbaik maka penulis menggunakan metode Simple Additive Weighting (SAW). Metode simple additive weighting ini di pilih karena metode ini menentukan nilai bobot untuk setiap atribut, kemudian dilanjutkan dengan proses perangkingan yang akan menyeleksi alternatif-alternatif yang sudah di tentukan seperti etika atau kepribadian, kedisplinan, absensi, tanggung jawab, kerja sama, kemampuan memimpin, kecepatan kerja, ketelitian kerja dan kualitas hasil kerja. Dengan metode perangkingan tersebut, diharapkan penilaian akan lebih tepat karena didasarkan pada nilai kriteria dan bobot yang sudah ditentukan sehingga akan mendapatkan hasil yang lebih akurat terhadap siapa yang akan menerima reward/penghargaan tersebut.

On Generalization of Inequalities for Monotone Functions

The thesis comprises of generalized inequalities for monotone functions from which we deduce important inequalities such as reversed Hardy type inequalities, general- ized Hermite-Hadamard’s inequalities etc by putting suitable functions. The present thesis is divided into three chapters. The first chapter includes generalized inequalities given for C-monotone functions and multidimensional monotone functions. As a result of these inequalities, we de- duce reversed Hardy inequalities for C-monotone functions and multidimensional re- versed Hardy type inequalities with the optimal constant. Furthermore, we construct functionals from the differences of above inequalities and gives their n-exponential convexity and exponential convexity. By using log-convexity of these functionals we give refinements of these inequalities. Also we give mean-value theorems for these functionals and deduce Cauchy means for them. The second chapter consists of inequalities valid for monotone functions of the form f /h and f /h. These are also very interesting as by putting suitable functions we get one side of Hermite-Hadamard’s inequality and generalized Hermite-Hadamard’s inequality. Similarly as in the first chapter, we make functionals of these inequalities and gives results regarding n-exponential convexity and exponential convexity. Also we give mean value theorems of Lagrange and Cauchy type as well as we obtain non- symmetric Stolarsky means with and without parameter. In the third and the last chapter we consider Petrovi ́ type functionals obtained from c Petrovi ́ type inequalities and investigate their properties like superadditivity, sub- c additivity, monotonicity and n-exponential convexity. Also at the end of each chapter we discuss examples in which we construct further exponential convex functions and their relative properties.