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All Journal Elkom: Jurnal Elektronika dan Komputer IJISTECH (International Journal Of Information System & Technology) IJISTECH
Rika Widya Perdana
AMIK KOSGORO
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

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Expert System Troubleshooting Shortest Route Finding Using Traveling Salesman Problem (TSP) Rika Widya Perdana
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 (904.39 KB) | DOI: 10.30645/ijistech.v6i1.207

Abstract

The search for the shortest route is a path that is very functional in helping human activities. The Traveling Salesman Problem (TSP) is a method of finding the shortest route that a salesman can take when they want to visit several cities without having to visit the same city more than once. The case of Route Selection plays an important role because it must be on time and choose the alternative with the smallest value to the destination. Problems that occur in the form of lack of information and logic to obtain efficient information. The aim of this research is to minimize the distance. The search for a solution to the problem is to combine each distance taken to get to a place so that the Salesman can choose the Smallest alternative. The alternative mileage that has the smallest value is STRU, USTR, and URTS with an alternative value of 18.
Expert System Troubleshooting Shortest Route Finding Using Traveling Salesman Problem (TSP) Rika Widya Perdana
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 | DOI: 10.30645/ijistech.v6i1.207

Abstract

The search for the shortest route is a path that is very functional in helping human activities. The Traveling Salesman Problem (TSP) is a method of finding the shortest route that a salesman can take when they want to visit several cities without having to visit the same city more than once. The case of Route Selection plays an important role because it must be on time and choose the alternative with the smallest value to the destination. Problems that occur in the form of lack of information and logic to obtain efficient information. The aim of this research is to minimize the distance. The search for a solution to the problem is to combine each distance taken to get to a place so that the Salesman can choose the Smallest alternative. The alternative mileage that has the smallest value is STRU, USTR, and URTS with an alternative value of 18.
Artificial Intelegence APLIKASI PEMILIHAN BERAS BERDASARKAN REFERENSI KONSUMEN MENGGUNAKAN FUZZY LOGIC Rika Widya Perdana
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.502

Abstract

Rice is the most important staple food for humans to have energy to carry out activities. The purpose of this study is to provide information to the public in the form of a reference for selecting rice based on consumer interest, so that it can be used as a decision making in buying rice. The Mamdani method is a method that is able to solve problems in the case of rice selection based on consumer references. The work process of the Sugeno method consists of four parts, namely fuzification, inference engine, implication function amplification and the last one is defuzzification. The final result, the Mamdani method has the characteristics of using the AND operator and using the min-max value. This research is in the form of a decision-making system in rice selection based on references from consumers by looking at four aspects of criteria such as price, quality, taste, and shape variables, these four aspects can be used as a reference in rice selection. Sugeno fuzzy logic to get the final value.The Mamdani method is a very effective method in selecting rice according to the needs and interests of consumers so that potential consumers can easily choose rice according to their interests and desired criteria.
Artificial Intelegence APLIKASI PEMILIHAN BERAS BERDASARKAN REFERENSI KONSUMEN MENGGUNAKAN FUZZY LOGIC Rika Widya Perdana
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.502

Abstract

Rice is the most important staple food for humans to have energy to carry out activities. The purpose of this study is to provide information to the public in the form of a reference for selecting rice based on consumer interest, so that it can be used as a decision making in buying rice. The Mamdani method is a method that is able to solve problems in the case of rice selection based on consumer references. The work process of the Sugeno method consists of four parts, namely fuzification, inference engine, implication function amplification and the last one is defuzzification. The final result, the Mamdani method has the characteristics of using the AND operator and using the min-max value. This research is in the form of a decision-making system in rice selection based on references from consumers by looking at four aspects of criteria such as price, quality, taste, and shape variables, these four aspects can be used as a reference in rice selection. Sugeno fuzzy logic to get the final value.The Mamdani method is a very effective method in selecting rice according to the needs and interests of consumers so that potential consumers can easily choose rice according to their interests and desired criteria.
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