Judul: Penentuan Tingkat Produksi Yang Optimal Dengan Menggunakan Algoritma Genetik
Abstrak: Perencanaan produsi adalah perencanaan tentang produk apa yang akan diproduksikan dan berapa jumlah masing-masing yang akan diproduksi. Permasalaban yang sering dihadapi saat perencanaan produksi yaltu bagaimana menentukan tingkat produksi yang optimal dengan variasi pennintaan dan minimum biaya. Penelitian ini mencoba untuk mengkaji dan mengimplementasikan tingkat produksi basil penelitian Oen dan Liu (1995). Dalam menentukan tingkat produksi yang optimal metode yang digunakan adalah Algoritma Genetik (Genetic Algorithm-GA). GA adalah suatu teknik optimasi stokastik yang menggullakan prinsip evolusi (seleksi dan genetika alami).
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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: Thermal Characteristics and Dynamics of Tropical Cyclone over Western North Pacific Ocean: A Case Study of Typhoon Songda (Chedeng) 2011
Abstrak: The frequent occasion of Tropical Cyclone (TC) over Western North Pacific (WNP) Ocean lies from 10˚N to 26˚N and 121˚E to 170˚E. Sources of TC development come from warm ocean temperature where latent heat is released during condensation processes and subsequently concentrated in the boundary layer. Relative humidity at 850-700 hPa is responsible to produce the most intense storm. Meanwhile, weak vertical wind shear between 850-200 hPa is one of the dynamical factors that lead to the development of TC. Pressure level of 850-200 hPa is chosen to minimize the thermodynamic effect in the lower troposphere. Typhoon Songda (Chedeng in the Philippines) or TSC lasted from May 18th to 30th, 2011 and strengthened into powerful Super Typhoon stage between May 24th and 27th. Long curving track and the exhibition of all sequences of TC life cycle, TSC is then considered as an ideal case of TC. The objective of the study with case of TSC is to investigate the role of thermal characteristics and dynamics on TC intensity. The research is carried out by using Advanced Research of Weather Research and Forecasting model (WRF ARW model) version 3.3. Two domains are employed in the model. The first domain situate from 02˚N to 40˚N and 118˚E to 149˚E and cover spatial resolution () of 33.1 km. The second domain situate from 09˚N to 27˚N and 119˚E to 132˚E with of 11 km. Timestep of the model () is 120 seconds. The model is supported by the following physical parameterization, i.e., Yonsei University Scheme (YSU) in the boundary layer, Kain-Fritsch scheme (KF) in the cumulus, and WRF Single-Moment 3-class scheme in the microphysics. Initial meteorological condition prior to the formation of the cyclone is generated using WRF ARW standard-release model. Sensitivity of the model output is obtained from a selected single-parameter change scenarios, namely, 10 % to 20 % decrease and increase of wind shear initial data at 850-200 hPa, and by 10 % to 20 % decrease of relative humidity initial data at 850-700 hPa. The result showed that the negative correlations between wind shear and intensity are found in wind shear scenarios. Wind shears of 10 ms-1 which lead to strengthening of the wind intensity in the early period of Typhoon development are found in wind shear scenarios. The effect of wind shear changes on wind intensity is statistically significant in the 20 % wind shear scenarios. During mature stage, weak wind intensity occurred when wind shear increase as given in the WRF standard-release and the 20 % decreasing scenario. Different situation is found in the 20 % increasing scenario where wind shear tend to weak and lead to strong wind intensity at this stage. Meanwhile, the reduction of moisture supply at 850-700 hPa resulting from 20 % decreasing relative humidity play a major role in the weakening of wind intensity and reduces mechanical energy of the cycle process as much as 300 J kg-1.
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