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Journal : Jurnal ULTIMATICS

Implementasi Algoritma Genetika dan Neural Network Pada Aplikasi Peramalan Produksi Mie Adhi Kusnadi; Jansen Pratama
Ultimatics : Jurnal Teknik Informatika Vol 9 No 1 (2017): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.149 KB) | DOI: 10.31937/ti.v9i1.562

Abstract

Companies that produce products must be able to regulate the amount of production so that it have plan production. Therefore, it is necessary to be able to predict the amount of production. This research aims to create an application that is useful in determining the amount of production. These applications using genetic algorithms and neural network. Genetic algorithm is used to optimize the weights in the neural network. From the test results, this application uses network with 12 inputs, 5 neuron in first hidden layer, 3 neurons in the second hidden layer, and 3 neurons in the last hidden layer. Then for the genetic algorithm parameters used were 10 individuals, 50 generations, crossover probability 0.8 and mutations probability 0.1. Based on the test results, this application has the forecasting’s accuracy rate reaches 86%. Keyword : forecasting, production forecasting, genetic algorithm neural network, optimization.
Rancang Bangun Sistem Rekomendasi Resep Masakan Khas Indonesia Menggunakan Metode Collaboration Collective Intelligence dan Slope One Adhi Kusnadi; Daniel Daniel
Ultimatics : Jurnal Teknik Informatika Vol 9 No 2 (2017): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2532.896 KB) | DOI: 10.31937/ti.v9i2.626

Abstract

Today, recipes are not just physical, but some are digital. So users do not have to store recipe books that have been purchased to find recipes for a dish. One of a website providing recommendations for digital recipe guides is dapursaji. This application helps users to search for recipes only by entering the ingredients of the food owned by the user. And will produce a list of dishes that use the material entered by the previous user. In addition there will be related recommendations after opening one of the recipes after the search. Not only that, this website can also provide the freedom to innovate, by means of all users can fill a new recipe in accordance with the innovation and creation itself. Then the recipe will be published and read by the public. Collaborative Collective Intelligence and Slope One methods are implemented in this design, and evaluation results show that as many as 89% of users surveyed have been satisfied with the suitability and usefulness of the built system. Index Terms—recipes, dish, collaborative Collective Intelligence, slope one