Articles by issue : Vol 4, No 2 (2018): July - Desember
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Articles
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FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN HOTEL SELECTION

Aprilia, Rima ( Universitas Islam Negeri Sumatera Utara Medan )

ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Show Abstract | Original Source | Check in Google Scholar | Full PDF (358.794 KB)

Abstract

As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems

IMPLEMENTATION OF GROUP METHOD PROJECT IN INCREASING MATHEMATICAL EXPERIENCES

Husein, Ismail ( Universitas Islam Negeri Sumatera Utara Medan )

ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Show Abstract | Original Source | Check in Google Scholar | Full PDF (690.649 KB)

Abstract

Mathematics as a vehicle for education has the purpose of educating students, forming the personality of students, and developing certain skills so that they can direct students to learning values in life through mathematics. One of the fundamental problems in education in Indonesia is the lack of students who can understand mathematical concepts well. One method that promises to reduce this problem is the group project method.

PROBLEM OF LETTER ARCHITECTURE COMPLETION USING A * SEARCH METHOD

Santoso, Heri ( Universitas Islam Negeri Sumatera Utara Medan )

ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Show Abstract | Original Source | Check in Google Scholar | Full PDF (497.193 KB)

Abstract

Problems of architecture beams or commonly called Blocks Architecture is one of the classic problems in the study of Artificial Intelligence (AI), the architectural Problems of beams can be obtained from the problems that are all around us and is one of those cases that could be problems solved by using this beam is the stack, a stack problem conditions using push and pop, one of the methods that can be used is the A * Search algorithm, A * describe the process of problem solving in which one must take any decision on any of the best stride and the use of simulation in resolving the problems of architectural beams are expected to give an idea of how the process of the settlement of these problems, simulation is an attempt to copying features, display, and a real system characteristics, the expected results of the application of the algorithm is A * this is showing the form of settlement in the simulation.

MODEL OF SPREAD CONTENT DISEASE FOR ASSOCIATION OF VACCINE

Jumiati, Ety ( Universitas Islam Negeri Sumatera Utara Medan ) , Husein, Ismail ( Universitas Islam Negeri Sumatera Utara Medan )

ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Show Abstract | Original Source | Check in Google Scholar | Full PDF (310.556 KB)

Abstract

Transmission of infectious diseases in epidemiological models is usually based on the assumption that populations in random mixing. However, in reality this assumption is not fulfilled, because each individual has a limited set of contacts that they can pass through infection; the ensemble of all such contacts forms a complex network. Knowledge of network structure allows a model to calculate the dynamics of an epidemic at a population scale from individual level infection behavior. This paper discusses mathematical models to illustrate the epidemic pattern of transmission of infectious diseases in dynamic networks based on compartment systems.

PARAMETER OPTIMIZATION OF SINGLE EXPONENTIAL SMOOTHING USING GOLDEN SECTION METHOD FOR GROCERIES FORECASTING

fitria, vivi aida ( STMIK Asia Malang )

ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Show Abstract | Original Source | Check in Google Scholar

Abstract

Department of Agriculture and Food Security Malang City, especially in the Field of Food Supply Availability and Distribution requires a reference forecasting of food prices in Malang. The method used in the forecasting calculation is Single Exponential Smoothing. In the process of calculating the Single Exponential Smoothing method, it takes alpha parameters between 0 and 1. The problem is when to estimate the alpha value between 0 to 1 with trial error with the aim of producing minimal forecasting results. Therefore, this study aims to determine the optimal alpha value. The method used in this research is the Golden Section Method. The principle of Golden Section method in this study is to reduce the boundary area so as to produce a minimum MAPE (Mean Absolute Percentage Error) value The data used in this study is the price of 9 commodities of Groceries in Malang since January 1, 2016 until December 31, 2017. The results showed that the Golden Section method found that the optimal alpha value was 0.999 with MAPE average of 9 commodities is 0.79%. So with this golden section method researchers do not need a long time to determine alpha by trial error