Judul: Application of Genetic Algorithms with Roulette Wheel, Binary Tournament, Elitist, and Replacement Methods in Profit Optimization
Abstrak: Perhitungan optimasi laba serta analisis yang tepat terhadap proses produksi diperlukan untuk memaksimalkan laba perusahaan. Permasalahan optimasi laba ini dapat diselesaikan dengan algoritma genetika. Terdapat banyak metode seleksi dalam algoritma genetika, 4 di antaranya ialah roulette wheel, binary tournament, elitist, dan replacement. Penelitian dilakukan untuk mencari metode seleksi terbaik berdasarkan rata-rata nilai fitness yang dihasilkan. Penelitian ini ditinjau berdasarkan tiga kasus yang berbeda dalam membandingkan empat metode seleksi yang diuji, kasus pertama menggunakan pop_size=10 dan N=10, kasus kedua menggunakan pop_size=25 dan N=10, dan kasus ketiga menggunakan pop_size=10 dan N=50. Ketiga kasus tersebut menggunakan parameter tetap yaitu cr=0,8 dan mr=0,1. Hasil dari penelitian ini didapatkan bahwa metode terbaik secara berturut-turut ialah metode replacement, roulette wheel, dan elitist. Sedangkan metode seleksi binary tournament dinilai kurang sesuai pada penelitian ini., Calculation of profit optimization as well as proper analysis of the production process are needed to maximize the company's profit. This profit optimization problem can be solved with genetic algorithms. There are many selection methods in genetic algorithms, four of which are roulette wheel, binary tournament, elitist, and replacement. The study was conducted to find the best selection method based on the average fitness value produced. This study was reviewed based on three different cases in comparing the four selection methods tested, the first case used pop_size=10 and N=10, the second case used pop_size=25 and N=10, and the third case used pop_size=10 and N=50. All three cases use fixed parameters, namely cr=0.8 and mr=0.1. The results of this study found that the best methods consecutively are replacement, roulette wheel, and elitist methods. Meanwhile, the binary tournament selection method was considered inappropriate in this study.
Keyword: binary tournament, elitist, genetic algorithm, replacement, roulette wheel

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: Karakteristik curah hujan Waingapu, Nusa Tenggara Timur
Abstrak: Waingapu merupakan daerah dengan curah hujan sangat rendah, namun wilayah ini dapat menghasilkan tanaman pertanian dan pohon Cendana. Informasi iklim terutama karakteristik curah hujan diperlukan karena pengaruhnya terhadap pertanian di Waingapu cukup besar. Penelitian ini bertujuan mengetahui karakteristik curah hujan Waingapu periode bulanan, musim basah dan musim kering serta kaitannya dengan suhu permukaan laut (SPL) Nino 3.4 dan laut Sumba. Analisis data dilakukan dengan menentukan klasifikasi iklim menggunakan klasifikasi Schmidth-Ferguson dan Koppen, penghitungan jumlah hari hujan dan deret hari basah, analisis rataan bergerak curah hujan 10 harian pada musim basah, peluang kejadian deret hari kering melampaui atau sama dengan 15 hari pada musim basah, dan uji korelasi Pearson antara karakteristik curah hujan dengan SPL Nino 3.4 dan di laut Sumba. Hasil penelitian menunjukkan Waingapu memiliki tipe iklim kering (tipe F dan transisi Aw-BS) serta pola curah hujan monsunal dengan penerimaan curah hujan rata-rata tahunan lebih rendah dari evapotranspirasi potensial rata-rata tahunan (898 mm CH; 1604 mm ETp). Hari hujan lebih pendek dibandingkan hari tidak hujan. Meski demikian, kebutuhan air tanaman palawija dapat terpenuhi pada musim basah, terutama pada periode Desember-Februari (502 mm) atau Januari-Maret (515 mm). Peluang deret hari kering melampaui atau sama dengan 15 hari pada musim basah mencapai 70%. Karakteristik curah hujan bulanan Waingapu berkorelasi tinggi dengan SPL Nino 3.4 pada jeda waktu dua bulan, sedangkan SPL di laut Sumba berkorelasi tinggi pada jeda waktu satu bulan. SPL Nino 3.4 memiliki korelasi yang lebih tinggi dengan karakteristik curah hujan Waingapu pada musim basah dibandingkan musim kering.
Keyword: Rainfall, Rainy days, SST Nino 3.4, SST at Sumba sea, Waingapu