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All Journal Saintia Matematika Indonesian Journal of Statistics and Its Applications
Nofrida Elly Zendrato
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Computer Science & IT Mathematics Other

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PERENCANAAN JUMLAH PRODUKSI MIE INSTAN DENGAN PENEGASAN (DEFUZZIFIKASI)CENTROID FUZZY MAMDANI Nofrida Elly Zendrato; Open Darnius; Pasukat Sembiring
Saintia Matematika Vol 2, No 2 (2014): Saintia Matematika Maret 2014
Publisher : Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.549 KB)

Abstract

Permasalahan yang timbul di dunia industri khususnya dalam membuatkeputusan terhadap jumlah produksi seringkali melibatkan berbagai hal yangtidak pasti, misalnya permintaan pasar dan persediaan barang. Dalam tulisan inidilakukan analisis terhadap perencanaan jumlah produksi mie instan dengan menggunakan metode Fuzzy Mamdani. Penyelesaian analisis ini selanjutnya denganmenggunakan bantuan software Matlab. Hasil yang diperoleh dari perbandingannilai MPE (Mean Percentage Error) dan MAPE (Mean Absolute Percentage Error)jumlah produksi Mamdani dengan Forecasting perusahaan menunjukkan bahwametode Fuzzy Mamdani dapat digunakan sebagai salah satu penentuan keputusanperencanaan jumlah produksi mie instan di PT. Indofood CBP Sukses Makmur,Tbk.
Handling Multicollinearity Problems in Indonesia's Economic Growth Regression Modeling Based on Endogenous Economic Growth Theory: Penanganan Masalah Multikolinieritas pada Pemodelan Pertumbuhan Ekonomi Indonesia Berdasarkan Teori Pertumbuhan Ekonomi Endogenous Yanke, Aldino; Zendrato, Nofrida Elly; Soleh, Agus M
Indonesian Journal of Statistics and Applications Vol 6 No 2 (2022)
Publisher : Statistics and Data Science Program Study, IPB University, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i2p214-230

Abstract

One of the multiple linear regression applications in economics is Indonesia’s economic growth model based on the theory of endogenous economic growth. Endogenous economic theory is the development of classical theory which cannot explain how the economy grows in the long run. The regression model based on the theory of endogenous economic growth used many independent variables, which caused multicollinearity problems. In this study, the multiple linear regression model using the least-squares estimation method and some methods to handle the multicollinearity problem was implemented. Variable selection methods (backward, forward, and stepwise), principal component regression (PCR), partial least square (PLS), and regularization methods (Ridge, Lasso, and Elastic Net) were applied to solve the multicollinearity problem. Variable selection method with backward, forward, and stepwise has not been able to overcome the problem of multicollinearity. In contrast, Principal Component Regression, PLS regression, and regularization regression methods overcame the multicollinearity problem. We used "leave one out cross-validation" (LOOCV) to determine the best method for handling multicollinearity problems with the smallest mean square of error (MSE). Based on the MSE value, the best method to overcome the multicollinearity problem in the economic growth model based on endogenous economic growth theory was the Lasso regression method.
Co-Authors Agus Mohamad Soleh Open Darnius Pasukat Sembiring Yanke, Aldino