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All Journal IJISTECH (International Journal Of Information System & Technology) MEANS (Media Informasi Analisa dan Sistem) IJISTECH
Dedi Mahrizon
Informatics Management Study Program, AMIK KOSGORO
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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Utilization of Fuzzy Inference Marketing System for Home Purchase Based on Consumer Interest Using Sugeno Fuzzy Logic Dedi Mahrizon
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i3.146

Abstract

This study aims to determine the purchase of a house based on consumer interest in accordance with consumer criteria. By using the Sugeno method to determine the input and output variables which are a set of companies, then changing the input variables into a fuzzy set with a fuzzification process, then fuzzy processing manages the data with the minimum method. The last step is to convert the output into a set of deficits with a defuzzification process using the centroid method, so that it will get the desired results on the output variable. This study uses variables Size, Type, Design, Position and Material using mathematical constants or functions of input variables, and in the defuzzification process using the centralized mean method. The results of this study are by using the Sugeno method in fuzzy logic to determine house selection based on consumer interests, fuzzy logic can be used to assist in determining the selection of houses in Solok City and by applying the Sugeno method in fuzzy logic to be able to produce house buying decisions based on consumer interests.
Utilization of Fuzzy Inference Marketing System for Home Purchase Based on Consumer Interest Using Sugeno Fuzzy Logic Dedi Mahrizon
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.582 KB) | DOI: 10.30645/ijistech.v5i3.146

Abstract

This study aims to determine the purchase of a house based on consumer interest in accordance with consumer criteria. By using the Sugeno method to determine the input and output variables which are a set of companies, then changing the input variables into a fuzzy set with a fuzzification process, then fuzzy processing manages the data with the minimum method. The last step is to convert the output into a set of deficits with a defuzzification process using the centroid method, so that it will get the desired results on the output variable. This study uses variables Size, Type, Design, Position and Material using mathematical constants or functions of input variables, and in the defuzzification process using the centralized mean method. The results of this study are by using the Sugeno method in fuzzy logic to determine house selection based on consumer interests, fuzzy logic can be used to assist in determining the selection of houses in Solok City and by applying the Sugeno method in fuzzy logic to be able to produce house buying decisions based on consumer interests.
Artificial Intelligence In Cooking Oil Price Prediction Using the Fuzzy Inference System Concept Dedi Mahrizon
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.683 KB) | DOI: 10.30645/ijistech.v6i1.214

Abstract

At the end of 2021 in October the price of cooking oil increased very sharply in packaged cooking oil and bulk cooking oil. Cooking oil had recorded a deflation in February 2022 of 0.11%, then increased again with a deflation of 0.04%. The causes of the increase in oil consist of 4 types including very sharp international oil prices, reduced oil production caused by disruptions in the distribution chain, increase in demand and the last one. Logistical disruptions during the Covid-19 pandemic, such as the reduced number of containers in the cooking oil delivery process. The problem that will be discussed in this study is to see the cause of the increase in cooking oil in the market. The purpose of this study is to examine the causes of the increase in cooking oil prices and the development of market prices for cooking oil circulating in the market. The basic concept of this research uses the concept of Marketing Management and Artificial Intelligence using Sugeno's Fuzzy Logic Method. The criterion variable consists of 4 input variables 1. Oil Price, 2 Cooking Oil Production, 3 Demand and the fourth is Logistics Disorder while the output variable produces a Normal Decision with a value of 0, Expensive with a value of 1. The final result of this study obtains an Output value of 0, 85 which is in the Expensive range. To find out the other x values, it is enough to enter the x value into each search to find out the next output value which can be used as a reference in predicting the current cooking oil price.
Meminimalkan Biaya Transportasi Penentuan Rute Terpendek Pengiriman Barang Menggunakan Metode Generate And Test Mahrizon, Dedi
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2635

Abstract

Transportation plays an important role in the delivery of goods both in the far and near reaches. To minimize the distance traveled, appropriate planning and calculations are needed to save time and costs in delivering goods to the destination. The process of determining the shortest route is included in the science of artificial intelligence in solving search problems. The science of intelligence which is well-known in determining the shortest route, namely Generate and Test, Traveling Salesman Problem (TSP) or understood as the search for the shortest path is often implemented in the real world because this method is able to solve problems and produce algorithms that can be applied in everyday life. The main objective of this research is to implement the search concept Generate and Test in helping users in shipping goods to save time, lower costs. The Generate and Test Algorithm is a combination of Depth First Search and Backtracking. The results of this study obtained the longest value of 113 with the combination f (A-D+F+I+J+M+Q+S+T)_= 20+18+9+20+7+10+13+16=113 and shortest path value 61 which starts with path f (A-C+I+P+T )=11+20+17+13=61 by obtaining information on the smallest shortest path, namely 61, can be used as the final state to be passed in shipping goods, so This path can be used as a reference to obtain the final solution.
Kriteria Pembelian Motor Bekas Berdasarkan Kebutuhan Pengguna Menggunakan Metode Sugeno Mahrizon, Dedi
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.3054

Abstract

Fuzzy logic includes seven areas of artificial intelligence. Fuzzy logic is currently very developed, seen from the system used in decision making, including the purchase of used two-wheeled motorbikes. Two-wheeled vehicles are in great demand by many people, seen from the aspect of transportation, they are widely used for outside activities. The problem that often occurs to users is the lack of user knowledge in purchasing used motorbikes so that when the goods have been purchased the motorbike is damaged or difficult to purchase tools and complete documents. The purpose of this study is to assist users in making decisions in purchasing two-wheeled vehicles by taking into account predetermined criteria. In selecting criteria, there are 5 aspects that must be considered, namely, machine condition, part completeness, paperwork completeness, spare parts availability and price, output variable, namely decision. The completion method uses the AND Operator and takes the Maximum value. The final result of the defuzzification search has a value of z = 0.826 with a purchase decision.
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