Tumpal P. Nababan
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METODE NEW JERSEY UNTUK CADANGAN ASURANSI JIWA DWIGUNA DENGAN DISTRIBUSI GOMPERTZ Ramlah Annuri; Tumpal P. Nababan; Aziskhan '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This  article  discusses  the  prospective premium  reserve modified  using  New  Jersey method on endowment insurance.  This method limits  calculation of reserves for 20 years. The calculations of the endowment insurance reserve is solved  by  priordetermination  of the annuity, single premium, and annual premium based on the  distribution of Gompertz.
MODEL TINGKAT PRODUKSI EKONOMIS DENGAN PROSES PENGERJAAN ULANG DAN PADA TINGKAT PELAYANAN TERJADI KEKURANGAN PERSEDIAAN Reza Budiman; Tumpal P. Nababan; Endang Lily
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 1 (2015): Wisuda Februari 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article studies the economic production quantity (EPQ). During the production process, the failures occur and reworking is conducted to minimize the total production cost. This study is a review of Chiu et. al [Mathematical and Computational Applications, 11(2006): 75-84]. A numerical example is given to explain the problem discussed.
OPTIMISASI RUTE PENDISTRIBUSIAN SEJENIS PRODUK DENGAN MENGGUNAKAN PROGRAM GOL Fitri Marlina; Tumpal P. Nababan; M. D. H. Gamal
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This article discusses a goal programming technique for optimal vehicle routes of distribution of a product. The goal programming used is the weighted one. This technique is implemented in a real life case of distributing a product in a company. Computational experiments show that determination of vehicle routes using goalprogramming technique is more effective than using only driver knowledge, because it is able to satisfy all of goals expected in the distribution process.