| Title | Model Matematis Prediksi Produk Sukses Berdasarkan Orientasi Fungsional Emosional Produk |
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| Author Order | 1 of 1 |
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| Accreditation | |
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| Abstract | The risk of product loss can be minimized by mathematical model of predictive success or failure of a product at the earlyàdesign stage. Model is build from 30 graphics of strategy canvas industries.Canvas strategy contains success factors product overview.àThis research starts with standardise canvas intervaland factor successdescription. Next step is factors succesclasification, based onàfunctionalemotional product orientation. The result of it are 66 data sets. Data set are constructed based on value innovation concept.àEvery data set consist ofone price factor, one innovation factor and one factor of succes indicator. The Mathematical model fromàdesimal data obtained by Ordinary LeastSquare (OLS) estimation parameter method. Binary data obtained by Maximum LikelihoodàEstimator (MLE). Mathematical model selection base onmodel and coeficient significant (ñ=0.05). While model significances decimalàdata are then validated by One Way Analysis of Variance (ANOVA), binary data validated by Hosmer and Lemeshow analysis toàtestgoodness of fit of the model. Coefficient of significances are tested with t and wald statistic. Finally, mathematical model requiredàis derived from prediction capability relied on R squareAdjusted for decimal data and R square Nagelkerke analysis for binary data.àThe result of this research is model with prediction capability up to 70%. Thereare three models developed, new emotional modelàwith 74.1% predictioncapability, functional velocity model (73.1%), and functional capability (70.8%). |
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| Publisher Name | Jenderal Soedirman University |
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| Publish Date | 2013-02-28 |
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| Publish Year | 2013 |
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| Doi | DOI: 10.20884/1.dr.2013.9.1.99 |
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| Citation | |
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| Source | Dinamika Rekayasa |
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| Source Issue | Vol 9, No 1 (2013): Dinamika Rekayasa - Februari 2013 |
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| Source Page | 29-33 |
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| Url | https://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/99/pdf |
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| Author | NIKO SIAMEVA ULETIKA, S.T, M.Eng |
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| File | 523388.pdf |
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