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All Journal Jurnal Ilmu Dasar Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING InPrime: Indonesian Journal Of Pure And Applied Mathematics Majalah Ilmiah Matematika dan Statistika (MIMS) Operations Research: International Conference Series Pattimura Proceeding : Conference of Science and Technology
Agustina Pradjaningsih
Jurusan Matematika FMIPA Universitas Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

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Optimization of Inventory Level to Uncertain Demand Using Bayesian Approach Isnaini, M.; Tirta, I Made; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 16 No 1 (2016): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v16i1.23734

Abstract

The decision to determine grade of optimum supply on uncertainty demand or mainly unknowing could accomplish with Buyer-approach method.The demand with mainly unknowing can assumed as Poisson distribute.Completion with Buyer-approach method could be starting with count of posterior Gamma have distributed from prior Gamma with α and ß parameter. At the end the result of counting above can compared with proportion between supply and demand until we get a stable-grade of supply.
The Application of the Regression Method with Tree Structure on the Estimation of the Student Thesis Duration Dewi, Theresia Trias Candra; Dewi, Yuliani Setia; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 17 No 1 (2017): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v17i1.23751

Abstract

The tree regression is one of the regresion methods that can be used to find out the influence of independent X variable to the dependent Y variable. The tree regression method analyzes data by doing step by step isolation. The prunning tree process is used in order to get the optimal tree size. Prunning tree is done based on cost complexity. This paper is written in order to apply the tree regression method in data of graduated student from Faculty of MIPA at 2001-2005 that used to find out the variable which has an influence to the long student minithesis. The research result shows that the long student minithesis is influenced by GPA and department.
Upper Radical and Lower Radical Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 16 No 2 (2016): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v16i2.23742

Abstract

The attribute of Radical is expansion from ring character. This radical attribute could classified became two class of radical. That were upper radical and lower radical. This article will tell about two class of those radicals. Finally, from upper radical and lower radical concept could reborn the others radicals characters, which were essentially based from those two types of radicals.
Profile of Wave Equation Using Boundary Condition Akhsan, Mokhamad; Hidayat, Rusli; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 16 No 1 (2016): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v16i1.23731

Abstract

The wave equation is one of hyperbolic equation forms which its solution can be solved by various methods, such as Alembert and series approximation methods. Basically, the Alembert method is a coordinate transfer technique and the series approximation method is the classical separation of variable. Performance of the wave equation can be known by both of the methods with the variation of boundary conditions. The results show that both of the methods gave some equalities or differences of the profile. The different values of the velocity c ’s will have the same performance of the wave equation in the case of Dirichlet and Von Neumann boundary conditions. Calculating the profiles with a discrete version of the solution and showing some profiles at various times have been done resulting oscillation wave and moving wave.
Portfolio Optimization by Quadratic Programming Rianingsih, Wahyu; Hasan, Moh.; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 17 No 2 (2017): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v17i2.23758

Abstract

Portfolio is amount of investment. It determines proportion of fund that should be allocated in each investment in order to increase a certain profit with a certain risk. This research has aim to achieve an optimal result of portfolio case. Examaning this case is use quadratic programming, and then finishing with Wolfe method.
Analysis of Service Time in The Bank with Exponential Distribution Mutiarasari, Yusna; Tirta, I Made; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 17 No 1 (2017): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v17i1.23748

Abstract

Exponential distribution is general assumption to describe the distribution of service time for customer. To examine such assumption, the Goodness of Fit Test-Kolmogorov Smirnov is used. To know the condition queue system in BCA will be use some analyze the steady state characteristic measurement of work queue system on different day and hour.
Study on Geometric Programming using Dual Method Fitriya, Fitriya; Pradjaningsih, Agustina
Majalah Ilmiah Matematika dan Statistika Vol 15 No 2 (2015): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v15i2.23726

Abstract

Geometric programming is an optimization technique developed for solving a class of non-linear programming problems. It is used to minimize function which are in the form of posynomial subject to constraints of the same type. To find the solution, this technique consider dual problem that related to primal problem. In this paper, we discuss about minimize solution with constrained of geometric programming problems on the basis of Lagrangian function and Kuhn-Tucker Conditions.
Optimations of Product Combinations with Goal Programming Method B., Rika N.; Pradjaningsih, Agustina; Dewi, Yuliani Setia
Majalah Ilmiah Matematika dan Statistika Vol 15 No 2 (2015): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v15i2.23723

Abstract

Goal programming is linear programming technique which is used to solve problem with some goals. This method used to minimize the undesirable deviation from some targets which want to be reached. The targets expressed in a mathematic equation called constraint function. There are two constraint functions, goal constraint function and structural constraint function. On this paper solution of the optimal product combinations problems will be finded from nata de coco packs which have purpose to minimize ripening and sale maximization.
Optimasi Produksi Susu Dengan Algoritma Affine Scaling Pradjaningsih, Agustina; Nuranggraini, Laras Vegi; Riski, Abduh
Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Vol 4 No 1 (2022): Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai Islami)
Publisher : Mathematics Department

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Optimasi berhubungan erat dengan permasalahan dalam proses memaksimalkan keuntungan atau meminimalkan biaya. Penelitian ini menggunakan Algoritma Affine Scaling untuk memaksimalkan keuntungan. Algortima Affine Scaling dapat digunakan untuk permasalahan program linier yang memiliki variabel dan kendala yang banyak. Variabel keputusan yang digunakan pada penelitian ini adalah jenis produk terdiri dari susu originial, susu tiramisu, susu red velvet, susu coffe caramel, susu durian dan susu vanila late. Fungsi kendala yang digunakan terdiri dari kendala bahan baku, kendala biaya produksi, kendala waktu produksi dan kendala bahan pendukung. Pembentukan model program linier pada penelitian ini menggunakan algoritma Affine Scaling dan selanjutnya dilakukan simulasi program menggunakan software Matrix Laboratory (MATLAB). Penelitian ini menghasilkan bahwa algoritma Affine Scaling dapat diterapkan pada permasalahan kasus maksimasi optimasi Industri Susu Rembangan. Hal tersebut dibuktikan dengan terjadi peningkatan keuntungan Industri Susu Rembangan sebesar Rp 1.186.000.
Penerapan Algoritma Karmarkar Pada Optimasi Keuntungan Agustina Pradjaningsih; Taufiqi Fadhilah Amieni; Abduh Riski
Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Vol 4 No 1 (2022): Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai Islami)
Publisher : Mathematics Department

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Optimasi diperlukan di bidang industri yang berkaitan dengan memaksimalkan keuntungan. Permasalahan produsen dengan tingkat keuntungan, faktor produksi, dan produk yang dihasilkan produsen tersebut memiliki hubungan yang linier, dapat dimasukkan dalam model program linier pada penyelesaian permasalahan optimasi. Penyelesaian permasalahan optimasi pada penelitian ini menggunakan Algoritma Karmarkar untuk memaksimalkan keuntungan. Algoritma karmarkar dapat menyelesaikan masalah program linier dengan variabel dan kendala yang kompleks menggunakan software Matrix Laboratory (Matlab) dengan membuat m-file. Variabel keputusan yang digunakan pada penelitian ini adalah jenis produk yang dihasilkan yaitu roti coklat, roti strawberry, roti pisang, roti blueberry, roti pandan, roti keju, dan roti vanila. Fungsi kendala pada penelitian ini adalah persediaan bahan baku masing-masing jenis produk, persediaan bahan pendukung masing-masing jenis produk, dan harga bahan pendukung masing-masing jenis produk. Model program linier pada penelitian ini dilakukan dengan simulasi program menggunakan software Matrix Laboratory (Matlab) . Data yang digunakan pada penelitian ini adalah data keuntungan dan produksi dalam satu hari produksi. Pada penelitian ini diperoleh peningkatan keuntungan sebesar Rp. 34.358 dalam satu hari produksi. Hal ini menunjukkan bahwa algoritma Karmarkar dapat diterapkan pada kasus maksimasi keuntungan Produsen Roti Habibi.
Co-Authors Abduh Riski Abduh Riski, Abduh Ahmad Kamsyakawuni Akhsan, Mokhamad Anisa Wahyu Illahi Ardelia Nani Vidatiyasa B., Rika N. Dewi, Theresia Trias Candra Dini Nur Wasilah Dyan Mei Anggraeni Firdaus Ubaidillah Fitriya, Fitriya I Made Tirta Indriyani Rohmatul Aulia Khurnia Palupi Kiswara Agung Santoso Kiswara Agung Santoso M. Isnaini Merysa Puspita Sari Moh. Hasan Mutiarasari, Yusna Nuranggraini, Laras Vegi Rianingsih, Wahyu Rusli Hidayat Taufiqi Fadhilah Amieni Yuliani Setia Dewi