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INDONESIA
MATEMATIKA
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Mathematics
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 19, No 3 (2016): Jurnal Matematika" : 7 Documents clear
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN NILAI KENAIKAN PANGKAT TNI ANGKATAN DARAT MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI) Nugroho, Adam Hasbi; Bahtiar, Nurdin
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Rank promotion is a part ofpreparationunits in the implementation management of Main Functionwhich is one of the functions that organized by Puspenerbad (Army Aviation Center) in performing the basic tasks of the Army. Rank is required to assist in supporting the placement decisions of the assessment team of Puspenerbad in supporting the decision of placement task or filling vacant positions as officials had previously been moved or changed their title.Therefore, rank promotionneeds to be calculated, computerize, and ranked using a Decision Support Systems (DSS). Decision support systems can helpthe assessment team of Puspenerbad indetermining members that passed or not pass and determine the pass members ranking to get a rank promotion. One method that can be used to help support decisions for determining the value of the Army's promotion is Composite Performance Index (CPI) method. Composite Performance Index (CPI) is one method of calculation of the index-based decision making combined performance that can be used to determine the ratings or rankings of various alternatives based on several criteria, although the criteria vary. Based on the results of comparative testing of samples manually, the accuracy of the CPI method can be considered good.
APLIKASI INVERS GRUP PADA KARAKTERISASI INVERS MOORE PENROSE SRRM, Titi Udjiani
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Let  be a ring with identity and equipped with  involution " ". If  is element of  and has the Moore Penrose inverse, then  and  also have the  Moore Penrose inverse. This paper  found thatMoore Penrose inverse of is the same with the group inverse of   Also the Moore Penrose inverse of  is the same with the group inverse of Then the results of this  investigation  are  used to   discusse the characteristic of the Moore Penrose inverse of elements in  through the group inverse .
NEUTROSOFIK LIMIT DAN PENGHITUNGANNYA Suryoto, Suryoto
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Neutrosophic limit means the limit of a neutrosophic function. This article discusses the neutrosophic limit and the algebraic aspects related, including neutrosophic function, neutrosophic mereo-limit, neutrosophic limit and it’s calculation. The rules and the calculation method of neutrosophic limit similar to the rules and the method for calculating the classical limit, only the role of independent variables in the classical limit is taken over by a closed interval which is a subset of the set of real numbers. 
DIMENSI PARTISI nGRAF AMALGAMASI BINTANG YANG DIHUBUNGKAN SUATU LINTASAN Asmiati, Asmiati
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Let  be a connected graph, vertex , and .  For an ordered k-partition,  the representation v with respect to π is the k-vector ) , are distinct. The minimum k for which there is a resolving k-partition of  is the partition dimension of denoted by  .  In this paper, we determine the partition dimension for certain amalgamation of stars, namely nSk,m. 
SOLUSI MASALAH TRANSPORTASI MENGGUNAKAN TOCM-SUM APPROACH DENGAN INDIKATOR DISTRIBUSI Astuti, Nita Dwi; Utomo, Robertus Heri Soelistyo; Djuwandi, Djuwandi
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Transportation problems are related to the transport of a product from some sources to a number of different destination. In general, the different delivery will produce different shipping cost, therefore the purpose of solving classic transportation problems with the allocation of delivery from the source to destination is to determine the minimum transportation costs. The appropriate allocating in each case will produce an optimal solution for both minimize case and maximize case. TOCM-SUM approach with the indicator distribution is a new method for seeking initial feasible solution of the transportation problem. This method was proposed by Aminur Rahman Khan, Adrian Vilcu, MD.Sharif Uddin and FlorinaUngureanu. The first step is create a table of transportation, the second step is reduce the elements in each row and column with the smallest elements in every row and column, the third case is form the tables of Total Opportunity Cost Matrix (TOCM), the fourth case is calculate the indicators of distribution of each row and column in the TOCM table, and thereafter, the allocation is given to the cell that has the minimum distribution indicator. Repeat the steps until the total allocation of supply and demand is met, for optimal solutions the method of Stepping Stone is being used. This article discusses the application of TOCM-SUM Approach with the indicator distribution – Stepping Stone in the CV. Tirta Makmur Ungaran.    
KONSTRUKSI INTEGRAL MENGGUNAKAN FUNGSI SEDERHANA – PADA [A,B] Aziz, Abdul; Sumanto, YD
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

In this paper, weconstruct the δ –  simple functionusing the δ- fine Perron partition. By this function, we defineintegral, which is called Ho integral. 
METODE SIMPLEKS PRIMAL-DUAL PADA PROGRAM LINIER FUZZY PENUH DENGAN BILANGAN TRAPEZOIDAL Irawanto, Bambang; Djuwandi, Djuwandi; Suryoto, Suryoto; Handayani, Rizky
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Program linier dengan koefisien fungsi tujuan bilangan trapezoidal fuzzy (FNLP) dan program linier dengan variabel trapezoidal fuzzy (FVLP) merupakan bentuk dari program linier fuzzy tidak penuh. FNLP memiliki bentuk bilangan trapezoidal fuzzy hanya pada koefisien fungsi tujuannya saja, sedangkan FVLP memiliki bentuk bilangan trapezoidal fuzzy pada variabel keputusan dan konstanta ruas kanannya. Kasus minimasi dari FNLP dan FVLP dapat diselesaikan dengan metode simpleks dual. Bentuk bilangan trapezoidal fuzzy harus diubah ke bentuk bilangan crisp terlebih dahulu dengan menggunakan fungsi peringkat untuk menentukan entering variable dan leaving variablenya.Nilai fungsi tujuan optimalyang dihasilkan berupa bilangan trapezoidal fuzzy dan bilangan crisp.

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