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Journal : Journal Software, Hardware and Information Technology

Sistem Pendukung Keputusan Penentuan Dakian Gunung Di Pulau Jawa Menggunakan Fuzzy Logic Mamdani Nurmala, Nurmala; Hastono, Tri; Janah, Siti Nuraitul
Journal Software, Hardware and Information Technology Vol 4 No 1 (2024)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v4i1.114

Abstract

Mountain climbing is an activity with a relatively high level of danger that requires climbers to walk in the forest and spend quite a long time with increasingly low oxygen levels and very cold temperatures that can even reach 0 degrees Celsius. In this research, decisions play an important role in determining mountain climbing routes. especially on the island of Java which has a variety of mountains with different characteristics, therefore we help climbers in choosing mountain climbs that suit their individual preferences and personal conditions. The method used is Mamdani's Fuzzy Logic which can overcome uncertainty and complexity of information in decision making. To collect data regarding height, distance, track length and climbing costs, namely through interviews and related analysis. Fuzzy Logic Mamdani is implemented to manage and process related data and can produce output in the form of recommendations for climbing routes. This fuzzy model can integrate environmental variables, such as height, distance, cost and track length.
Penentuan Produksi Kerajinan Gerabah Guci Menggunakan Metode Fuzzy Mamdani Sunaryo, Azzahra Rahmawati; Hastono, Tri; Abelia, Nevanda
Journal Software, Hardware and Information Technology Vol 4 No 1 (2024)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v4i1.115

Abstract

Jar crafts are works of art that are very popular. Jar crafts are also very useful, whether as room decoration or as storage containers. Manufacturers often have difficulty determining the optimal production number of jars. Mamdani fuzzy logic in this research is used to solve problems. The data obtained was processed manually or using Matlab R2019b. This research aims to determine the amount of production using inventory, demand and production variables. In the Mamdani method, to get results, the following stages are required: (a) Fuzzification, (b) Application of the implication function, (c) Rule composition, (d) Defuzzification using the centroid method. From the results of calculations using the Mamdani fuzzy method, the optimum production amount was 83.73.