Maria Agustin
Fakultas Psikologi Universitas Merdeka Malang

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HUBUNGAN KEMANDIRIAN ISTRI DENGAN KEHARMONISAN PERKAWINAN PADA TAHAP AWAL PERKAWINAN DI KELURAHAN PAGENTAN KECAMATAN SINGOSARI KABUPATEN MALANG Agustin, Maria; Hendrati, Fabiola
Jurnal Psikologi Tabularasa Vol 8, No 2 (2013): Vol.8, No.2 (2013) Agustus 2013
Publisher : Jurnal Psikologi Tabularasa

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Abstract

This research is to find out if anything to do with the harmonious marriage of the wife of independence in the early stages of marriage. The population used in this study were  those  who  married  at  an  early  stage  at  the  village  Pagentan  Singosari  Malang. Sampling was purposive technique. Methods of data collection using the likert method to scale marital harmony and independence wife. Validity of the results on a scale of marital harmony  with  significance  level  0.05  moving  from  0.310  to  0.594  with  a  valid  aitem number  by  52,  while  the  results  of  the  validity  of  the  scale  independence  wife  with  a significance level  of   0.05 moves from 0.304 to 0.551 with aitem valid number  by 52. Calculation  of  variable  reliability  marital  harmony  obtained  value  α  =  0.908  and Reliability  wife  independence  obtained  value  α  =  0.902.  Where  two  numbers  are according  to  the  rules  stated  reliability  is  very  reliable.  The  results  of  data  analysis showed no association with the harmonious marriage of the wife of independence in the early stages of marriage  with f table  f count =  0.525 =  0.176,  which f count  (0.525)  > ftable (0.176). The hypothesis states there is a relationship between self  and wife with marital  harmony  in  the  early  stages  of  marriage  (ha)  was  accepted  with  a  correlation coefficient of 0.525.
PENGGUNAAN JARINGAN SYARAF TIRUAN BACKPROPAGATION UNTUK SELEKSI PENERIMAAN MAHASISWA BARU PADA JURUSAN TEKNIK KOMPUTER DI POLITEKNIK NEGERI SRIWIJAYA Agustin, Maria; Prahasto, Toni
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.784 KB) | DOI: 10.21456/vol2iss2pp089-097

Abstract

Data availability of new studentsat the Polytechnic State Srivijaya high enough, so the need fora method to analyze the data. Artificial neuralnetwork  is  an  information  processing  system  that  has  characteristics  similar  to  biological  neural  networks,  neural  network  sare  used  topredict because ofthe ability of a good approach to ketidak linearan. This study  will design the software selection admission of new studentswith a  backpropagation  neural network  methods.    From the analysis of  backpropagation  neural networks  with  one  hidden layer  with  the number of neurons 50, 1000 iteration sand the activation functiont an sigproduce regression of 0.4822. Backpropagation neural network withtwo  hidden  layers  with  the  number  of  neurons  50,  4000  iterations  with  tansig  activation  function,  resulting  in  regression  of  0.7944. Backpropagation  neural networks  with 3  hidden layer  with  the number of neurons  35,  5000  iterations, resulting in  regression  of  0.8563. Based  on  the  results  of  this  analysis,  backpropagation  neural  networks  quite  effectively  used  for  selection  of  candidates  for  student admission.Keywords: Selection, Backpropagation, Regression