Decision Support System Tool Untuk Penyelesaian Permasalahan Linear Berbasis Simplex Dan Revised Simplex

Pada permasalahan optimasi sumber daya, baik itu minimalisasi biaya ataupun maksimalisasi keuntungan,yang bersifat linear, dapat dibuat sebuah tool yang berguna untuk membantu menyelesaikan permasalahantersebut sehingga didapat hasil kombinasi sumber daya yang optimal. Sistem ini dirancang untuk dapatmenangani berbagai bidang permasalahan linier karena sifatnya yang terbuka. DSS tool ini akan menggunakanmetode penyelesaian simplex atau revised simplex dalam membantu penyelesaian permasalahannya. Namunsebelum menerapkan permasalahan linear yang dihadapi pada tool yang telah dibuat, terlebih dahulu perluuntuk melakukan pembentukan model matematika dari permasalahan tersebut. Dengan memanfaatkan DSS toolini, maka semua permasalahan linear akan dapat diselesaikan dengan tepat dan cepat

Decision Support System Selection Position Of High Leadership Of Pratama In Katingan Regency With Simple Additive Weighting Method

The issue addressed in this research is how to design and build an expert systemwhich capable of diagnosing dog diseases that are caused by parasites, and how this expertsystem later can be useful for dog owners.This expert system is developed based on website technology in order to ease theaccessibility for the users. The finished product is expected to become useful for dog owners,to help them diagnose their dog disease based on the symptoms in order to give the propertreatment. The software development methodology used to develop this expert system is theWaterfall methodology, while the design is done using Unified Modeling Language (UML).The programming language used to build the expert system is PHP for the logic and MySQLfor the database, and the finished product is then tested using black box testing method. Totest system accuracy, disease diagnosis results from the expert system is then compared withdiagnosis results from the real human expert (veterinarian).This expert system is using forward chaining method and Bayes theorem. The forwardchaining concept, in this system, starting with the symptoms that are set into a reasoning andrules to reach some conclusions which in this case are the possible diseases. While the Bayestheorem is used to draw a conclusion from the possible diseases by calculating the probabilityof what kind of disease suffered based on the symptoms, and the weight of the probabilityitself. This expert system, however, still can be developed not only to diagnose diseases thatare caused by parasites, but also to diagnose all kind of dog diseases

Development of Decision Support System Determining the Student as Scholarship Recipients by Fuzzy Multi Attribute Decision Making (Fmadm)

This research is the design of a decision support system (DSS) to determining the student as scholarship recipients of the STMIK Pelita Nusantara, Medan, Indonesia, with the approach of Fuzzy Multi Attribute Decision Making (FMADM) with TOPSIS method. Approach to Fuzzy Multiple Attribute Decision Making (FMADM) by specifying the values of the weights for each of the criteria or attributes and TOPSIS method for selecting student scholarship recipients. Implementation of a decision support system that can show the interaction of the user with the software application built using Visual Basic 2008 programming language. Conclusion the results obtained from the discussion shows that the approach with FMADM TOPSIS give final value calculation results ordered that can help decision makers determine the student deserves the scholarship. The existence of a decision support system that has been designed so the process of determining a student scholarship recipients more accurately, quickly, and accurately

Decision Support System Penyaluran Kredit USAha Rakyat (Kur) Mikro Menggunakan Metode Analytical Hierarchy Process (Ahp)

During the period of 2008 the distribution of KUR (Kredit Usaha Rakyat) is very effective when compared with the period of 2009. KUR velocity distribution may be due to the high banks inchanneling the spirit of KUR, is quite effective dissemination among the banking and society,policy ATMR (Aktiva Tertimbang Menurut Risiko) are more lax and the many demands ofprospective borrowers KUR decent but less bankable. The purpose of this paper is makingObtaining priority weight of each factor and alternative options to choose borrowers who receivedmicro-enterprise credit people with the greatest priority. Method this study outlined three stages in solving the problem. The first phase, analysiswas conducted to analyze the problem. The second step is data collection began with thedistribution of questionnaires, observation, interview and literature study. Data analysis phase asthe third stage, data analysis methods will be used is Analytical Hierarchy Process (AHP) indecision-making with the Expert Choice program analysis which is a computer software todetermine the choices in making decisions with multiple criteria decision making based on themethodology developed by Saaty. Results Decision Support system Kredit Usaha Rakyat Mikro disbursement by the banks which consists of six criteria: income level, frequency of credit, length of business, venture capital, education, loan repayment. The highest weighting is the criteria for venture capital, followed by the frequency of credit, length of business, income level, educational level and the last time loan repayment. Priority for the alternative name for the micro business sector borrowers candidate Peoples Business Loan (KUR) Micro getting KUR Micro is Food Enterprises, grocery and Business Enterprises Business Services and Agriculture and Fisheries

Rancang Bangun Decision Support System Distribusi Produk pada Inventory Routing Problem dengan Pendekatan Heuristik (Studi Kasus: Perusahaan Yakult)

The company is an organization that has a complexity of problems in managing the relationship between retailers and distributors to maintain product distribution process runs smoothly. Changes in market structure, products, and technologies of production continues to occur so that the effect is determined at the discretion of management. In this regard, the case of Inventory Routing Problem (IRP) often occurs in uncertainty in coordinating some activity distribution of products to a number of retailers. Product distribution system that is run without the basic result in reduced services to retailers. In other words, the distribution companies are not able to maintain service levels remain high. When the distribution system planned without basis in estimating demand so there are a number of retailers retailers that are not provided in time, the planning time horizon for the retailer must wait for resupply performed again at the next cycle. Determination of suboptimal solutions to some complex decision problems can face a bottleneck in terms of product quantity, time and cost can use a heuristic approach in building Decision Support System. Product Distribution DSS is a tool used to generate and produce suboptimal solutions in generating support for scheduling distribution. The decision resulting from the DSS Product Distribution is determining the time distribution will be made, determine many products that will be distributed, and determine the route to be traversed

Decision Support System for Selection of Expertise Using Analytical Hierarchy Process Method

Facial recognition is the process of human identification using a picture of facial expression. With the widespread use of computers, it is expected that facial recognition capabilities can be adopted on such smart devices. The adoption process becomes possible with the discovery of facial recognition methods, one of which is the main component analysis or better known as PCA (Principal Components Analysis). The research started by designing a computer program using the Matlab programming language. The Program was used to test the PCA method using a number of facial imagery. Testing is divided into three categories, which are based on the number of the trainer image, based on the number of key vector features, and the determination of the threshold value. In the end it can be concluded that PCA is quite worthy to be a facial recognition method. The research Data shows a pretty good introduction result with a fairly small error rate on testing using ten training imagery, which is one error introduction of 20 Tests