Judul: Optimisasi Pemenuhan Kebutuhan Zat Gizi Makro Menggunakan Algoritme Genetika
Abstrak: This research proposes a method for optimizing adequacy of macro nutrients needs of human using Genetic Algorithm. This study aims to develop a system that determine the composition of food that fulfill daily nutrients need. Genetic Algorithm method provides solutions to problems that optimal parameter values by searching on the domain of the solution based on the principles of natural evolution. The best accuracy generated by the comparison between a system with a target is 75 populations. The result of the research shows that percentage of average accuracy obtained for energy is 89.64%, for protein is 82.50%, for fat is 71.54%, and for carbohydrate is 89.20%.
Keyword: 

Judul: Optimasi alokasi portofolio saham pada pasar modal indonesia menggunakan algoritma genetik
Abstrak: The selection process of investment portfolio comprise of the selection of investment that have high returns and determine its weight allocation. Determinations of stock weight allocation of shares that consist of millions of possible combinations with manual calculations require a long time and high accuracy. Furthermore, it is needed a tools to facilitate the optimizing process for selection of stock portfolio in the Indonesian capital market in order to easier for investors to determine stock portfolio. The aim of this research was to (1) design the genetic algorithm (GA) model to optimize the allocation of stock portfolio in the Indonesian capital market, (2) develop a prototype system for stock portfolio optimization by using GA. The data used were based on data published by the Indonesia Stock Exchange from January 2004 until December 2009. In order to facilitate the selection of stocks that have good performance, it is needed to groups the stocks in the LQ45 index. In addition, the company's financial condition and its growth prospects were another factor in the selection process. Furthermore, the stock prices be used as research data were the closing price of each month. The design of GA to optimize the stock portfolio was done by determine the components of GA including encoding scheme, fitness function, parent selection, crossover, mutation, elitism and population replacement. Thus, validation testing of the model to analysis the model that has been developed. Beside that, it will be tested the weight changes of the stock allocation at certain periods, to assess the implementation of portfolio rebalancing. The results showed that GA can be used as a tool in the preparation of an optimal stock portfolio. Stock portfolio allocation using adaptive GA method to generate the highest total profit compared with the market index or same weight methods.
Keyword: 

Judul: Kerusakan bantalan rel kereta api di wilaya inspeksi 2 jalan dan bangunan perusahaan jawatan kereta api (pjka),cirebon
Abstrak: Kereta api merupakan salah satu sarana angkutan yang murah, cepat dan aman serta dapat mengangkut barang dalam jumlah besar. Kelancaran operasi sarana angkutan tersebut banyak ditentukan oleh kondisi jalan rel, termasuk kondisi bantalannya. Dalam hal ini bantalan rel kereta api dapat dibuat dari kayu, logam, atau beton. Namun demikian kayu merupakan bahan yang paling banyak digunakan sebagai pembuat bantalan rel kereta api di berbagai negara. Kenyataan menunjukkan bahwa kayu yang digunakan sebagai bantalan rel kereta api sering mengalami berbagai macam kerusakan yang menyebabkan bantalan tidak berfungsi lagi atau menurun fungsinya. Di Indonesia, informasi mengenai jenis dan tingkat kerusakan bantalan kayu masih sangat kurang, pada- hal informasi tersebut sangat penting sebagai dasar pertimbangan dalam rangka pemeliharaan jalan kereta api, agar umur pakainya (service life) lebih lama.
Keyword: bantalan rel