AbstrakKegiatan pengabdian kepada masyarakat ini merupakan pemberian pelatihan tentang carapenggunaan aplikasi SPSS pada penelitian data kuantitatif bagi mahasiswa di Sekolah Tinggi IlmuAdministrasi Negara BNM Pariaman yang akan menyelesaikan tugas akhir/ skripsi, dan diharapkanmahasiswa mampu untuk menggunakan dalam menganalisis statistik sehingga dapatmeningkatkan kualitas karya ilmiah. Hasil...

This article samples 293 listed companies on GEM (Growth Enterprise Market) of Shenzhen Stock Exchange, uses SPSS 17.0 to analyze their annual report data from 2009 to 2011. The results show that corporate performance will increase and then decrease along with the improvement of debt asset ratio, and achieve optimized performance at about 50%-60% of DAR (debt asset ratio); short-term borrowings...

Data written to C:\Documents and Settings\ddelgad1\Desktop\FactorAnalysis.xls. 7 variables and 50 cases written to range: SPSS. Variable: SalesGrowth Type: Number Width: 8 Dec: 1 Variable: SalesProfitability Type: Number Width: 8 Dec: 1 Variable: NewAccountSales Type: Number Width: 8 Dec: 1 Variable: CreativityTest Type: Number Width: 8 Dec: 0 Variable: MechanicalReasoningTest Type: Number Widt...

Traditional search system approaches have either been centralized or use flooding to ensure accuracy of the results returned which have bad performance. This paper presents SPSS (Semantic Peer-to-Peer Search System) that search documents through the P2P network hierarchically based on document semantic vector generated by Latent Semantic Indexing (LSI) [1]. The search cost for a given query is ...

This study exploits the Neural Network data mining algorithm to predict the value of the dependent variable under certain conditions in order to investigate the effect of the dependent variable values distribution on the prediction accuracy performance. The prediction models were designed using two modelling tools, viz., SPSS and NeuroSolutions where the prediction performance of the two tools ...

Introduction IBM SPSS Statistics Server is robust, powerful analytical software that seamlessly scales from handling the analytical needs of a single department to hundreds of users across the enterprise. It provides all of the features of IBM SPSS Statistics, plus capabilities that deliver faster performance, more efficient processing of large datasets and enhanced security in enterprise deplo...