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All Journal International Journal of Supply Chain Management Limits: Journal of Mathematics and Its Applications
Media Rahmawati
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Transportation

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Providing a Hybrid Methodology to Solve the Supplier Selection Problems: Application of MCDM Techniques Agus Widodo; Pinar Aytekin; Shahryar Ghorbani; Media Rahmawati
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The emphasis of supply chain management (SCM) is majorly on the relationship between enterprise alliance and core enterprise. One of the main decision-making problems in SCM is choosing strategic partners, which also is the key to a prosperous SCM. In the present study, SCM is investigated using the analytical hierarchy process (AHP) simulation approach o examine the uncertainty involved in AHP and reduce its risk to some extent. Finally, this approach is employed to solve the problem of supplier selection in SCM.
Pencadangan Klaim IBNR dengan Pendekatan Distribusi Keluarga Tweedie pada Generalized Linear Model Media Rahmawati; Isnani Darti; Marjono
Limits: Journal of Mathematics and Its Applications Vol. 16 No. 1 (2019): Limits: Journal of Mathematics and Its Applications Volume 16 Nomor 1 Edisi Ag
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Total klaim dalam asuransi umum merupakan jumlah dari klaim yang telah dilaporkan dan klaim incurred but not reported (IBNR). Cadangan klaim IBNR belum diketahui nominalnya, sehingga perlu diestimasi. Hasil estimasiyang akurat berpengaruh terhadap manajemen internal, investor, dan regulator suatu perusahaan asuransi.Dalam artikel ini, dibahas tentang estimasi cadangan klaim IBNR menggunakan metode GLM dengan pendekatan distribusi keluarga Tweedie, yaitu: Over Dispersed Poisson (ODP) , Gamma, dan majemuk Poisson-Gamma. Analisis performa estimasi pencadangan dinilai dengan menggunakan mean squared error prediction (MSEP). Hasil pencadangan menunjukkan bahwa estimasi terbaik diperoleh dengan menggunakan metode GLM model ODP
Co-Authors Agus Widodo Isnani Darti Marjono Pinar Aytekin Shahryar Ghorbani