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Journal : EIGEN MATHEMATICS JOURNAL

Penggunaan Algoritma Genetika Untuk Penjadwalan Penerbangan di Bandara Internasional Lombok Raehanatul Mardiyah; Mamika Ujianita Romdhini; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.664 KB) | DOI: 10.29303/emj.v2i2.13

Abstract

Penjadwalan penerbangan merupakan salah satu permasalahan yang sangat penting dilakukan agar konsumen mendapatkan pelayanan yang maksimal. Pada umumnya, penjadwalan dilakukan dengan cara manual. Cara ini memiliki keakuratan yang kurang baik dan dapat memberikan peluang terjadinya tabrakan jadwal. Tujuan dari penelitian ini adalah menyusun jadwal yang optimal untuk penerbangan pesawat di Bandara Intenasional Lombok. Metode yang digunakan adalah metode algoritma genetika. Algoritma genetika memungkinkan dapat menyelesaikan masalah yang kompleks dengan membangkitkan sejumlah individu yang dihitung nilai fitness-nya, dan memanfaatkan proses evolusi yang terdiri dari proses seleksi, crossover, dan mutasi. Berdasarkan hasil analisis yang telah dilakukan, hasil dari penjadwalan penerbangan terbaik didapatkan dari individu terbaik dengan nilai parameter-parameter ukuran populasi sebesar 10, jumlah generasi sebesar 10, dan peluang mutasi sebesar 0,01 dengan nilai fitness tertinggi yaitu 1. Individu terbaik ini menepati slot waktu berisikan 108 slot dengan estimasi waktu 10 menit setiap slotnya. Slot-slot tersebut menentukan waktu take off dan landing sebuah pesawat
Model Regresi Nonparametrik Deret Fourier pada Pola Data Curah Hujan di Kota Mataram Widiya Tri Astuti; Mustika Hadijati; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.167 KB) | DOI: 10.29303/emj.v2i2.16

Abstract

Rainfall is one of the elements of the climate that has influence on people's lives in West Nusa Tenggara Province. Thecapital city of West Nusa Tenggara Province (NTB), namely the City of Mataram, in December 2016 was affected byflood disaster due the rainfall increation. This causes all activities in the City of Mataram paralyzed. This study aimed tomodelling the rainfall and to determine the rainfall grade prediction in the City of Mataram in 2017. The method usedwas nonparametric regression of Fourier series. Based on the results of the analysis that has been committed, the bestFourier series of nonparametric regression model obtained at the Selaparang station was a model with 101 number ofknots and 0.959116 value of R2 . For the Ampenan station, the best model obtained with 101 knots and 0.966992 valueof R2 . As well as for the Cakranegara station, the best model obtained with 106 number of knots and 0.987778 value ofR2 .
Perbandingan Algoritma A* (A star) dan Algoritma IDA* (Iterative Deepening A* Pada Permainan Sliding Puzzle Puguh Riawang; Mamika Ujianita Romdhini; Irwansyah -
Eigen Mathematics Journal Vol. 2 No. 2 Desember 2019
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v1i2.39

Abstract

One of the games discussed in this study is a puzzle game. In a puzzle game players are expected to be able to achieve the final goal to form a correct picture or pattern. The algorithms used in this study are the A* algorithm (A Star) and IDA* algorithm (iterative deepening A*). This study aims to determine the completion process of the game Sliding Puzzle using A* Algorithm and IDA* Algorithm and determine which algorithms are more efficient. Based on the time complexity it was found that the A* algorithm is more efficient than the IDA* algorithm because it only chooses the smallest value of f, apart from the IDA* algorithm which tries all possible steps with the same value of f. The disadvantages of these two algorithms are that in some cases this algorithm cannot solve the problem or stop at the local optimum or the same stepĀ  repeated.