Judul: Implementasi algoritme flocking untuk simulasi perpindahan agen hama dalam pengembangan chaos engine pada game edutani
Abstrak: Flocking is a combination of three group behaviors—cohesion, separation, and alignment—all working together. Cohesion produces a steering force that moves an agent toward the center of mass of its neighbors. Separation creates a force that steers an agent away from those in its neighborhood region. Meanwhile, alignment attempts to keep an agent's heading aligned with its neighbors. In this research, the algorithm is applied to simulate the pest movement, especially the group one. The pest object is supposed to be an autonomous agent. The agent moves to look for foods and to avoid predators. This research applied some AI aspects to pest agents so that they could know how to react with everything in the environment where they move in, provided it is in their detection range. The research produced a web-based simulation which is connected to database. It means the data used for the simulation are reliable and dynamic. It could become a good foundation to develop the chaos engine in the future. And furthermore, Edutani, the educating multiplayer-online agricultural game can be brought into reality.
Keyword: flocking, separation, cohesion, alignment, movement, group behavior, pest, simulation

Judul: Pengembangan Sistem Multi-Robot Menggunakan Algoritme Particle Swarm Optimization untuk Pencarian Target
Abstrak: Sistem multi-robot merupakan suatu sistem yang terdiri dari beberapa robot yang saling terhubung serta dapat berkomunikasi dan berkolaborasi satu sama lain untuk menyelesaikan suatu tujuan. Sistem ini dapat menyelesaikan beberapa permasalahan dalam kehidupan nyata, salah satunya masalah pencarian target. Masalah task allocation atau pencarian target adalah suatu permasalahan pencarian target dan pendistribusikan agen ke dalam target tersebut untuk mencapai tujuan tertentu. Pada sistem multi-robot, masalah pencarian target didefinisikan sebagai permasalahan untuk mendistribusikan beberapa robot menuju target sehingga dapat mengoptimalkan keseluruhan kinerja sistem. Masalah pencarian target salah satunya dapat diselesaikan menggunakan algoritme Particle Swarm Optimization (PSO). Algoritme PSO adalah suatu algoritme yang terinspirasi dari perilaku burung dan ikan. Algoritme PSO merupakan suatu teknik optimasi yang mengoptimalkan masalah secara iteratif dengan cara memindahkan kandidat solusi yang ada di dalam ruang pencarian menggunakan fungsi tertentu menuju titik optimum atau solusi terbaik yang dapat ditemukan oleh setiap kandidat solusi. Penerapan PSO dalam sistem multi-robot dilakukan dengan merepresentasikan kandidat solusi sebagai robot dan titik optimum sebagai lokasi target. Penelitian ini akan mengimplementasikan algoritme PSO ke dalam sistem multi-robot untuk menyelesaikan masalah pencarian target di dunia nyata. Sistem multi-robot pada penelitian ini akan menggunakan beberapa robot E-Puck. E-Puck adalah sebuah educational desktop mobile robot, yaitu robot swarm beroda yang digunakan untuk pendidikan dalam bidang teknik. Penelitian ini menggunakan versi terbaru E-Puck yaitu E-Puck2. Dalam sistem multi-robot, lokalisasi merupakan salah satu hal penting untuk mengetahui posisi setiap robot di dalam lingkungan. E-Puck2 menawarkan beberapa sensor yang dapat dipakai untuk teknik lokalisasi tetapi sensor-sensor tersebut tidak dapat digunakan untuk lokalisasi dengan lingkungan yang luas. Pada penelitian ini, lokalisasi dilakukan menggunakan kamera yang diletakkan di atas lingkungan sehingga dapat menangkap lingkungan secara menyeluruh. Penelitian ini akan mengembangkan sistem multi-robot menggunakan algoritme PSO dan robot E-Puck secara nyata di dunia nyata serta lokalisasi menggunakan kamera. Hasil pengujian menunjukan algoritme untuk lokalisasi memiliki performa yang cukup baik sehingga dapat digunakan dalam penelitian ini. Hasil pengujian PSO dalam penelitian ini menunjukan bahwa perubahan jarak antara robot terdekat dengan target dan perubahan jarak antara rata-rata posisi robot dengan target pada dunia nyata dan simulasi memiliki kemiripan satu sama lain. Perubahan jarak pada dunia nyata dan simulasi secara bertahap mulai mendekati target.
Keyword: E-Puck2, particle swarm optimization, pencarian target, sistem multi-robot

Judul: Enhancement of photon absorbtion on BaxSr1-xTiO3 thin films semiconductor using photonic crystals.
Abstrak: In this research, has been conducted BaxSr1-xTiO3 (BST) thin films manufacturing for mole fraction x = 0.25, 0.35, 0.45, and 0.55; and concentration of 1 molar using chemical solution depositon (CSD) method. The materials, which are used in this research, are barium acetate [Ba(CH3COO)2, 99%], strontium acetate [Sr(CH3COO)2, 99%], titanium isopropoxide [Ti(C12O4H28), 97.999%], gallium trioxide [Ga2O3], 2-methoxyethanol [H3COOCH2CH2OH, 99%] and 1 x 1 cm of transparent conductive oxide (TCO) glass as substrate. Two BST thin films are made that for BST thin films which are doped by 10% galium (BGST) as p-type layer and pure BST solution as n-type. BST solution is made by reacting barium acetate [Ba(CH3COO)2, 99%], strontium acetate [Sr(CH3COO)2, 99%] and titanium isopropoxide [Ti(C12O4H28)] into 2-methoxyethanol solvent [H3COOCH2CH2OH, 99%] in accordance with mass gram for each x value. While, BGST solution is made in the same way as BST solution, plus adding gallium at 10% of the mass of BST. Once all materials are reacted, then vibrated using ultrasonic for 90 minutes, and followed by coating BGST / BST on the TCO substrate. Once the layer is formed, then annealed for 15 hours at temperature of 500 °C with increasing rate of 1.67 oC/minute. Characterizations of BST thin films with or without photonic crystals include the absorbance and transmittance in the visible light spectrum, as well as the electrical photoconductivity characterizations. From BST thin films without photonic crystals indicate that our thin films have light absorption area on almost the entire range of the visible light spectrum even to the infrared range with absorption value over than 67.6%, in addition, it can be seen that the maximum absorbance of BST thin films for all mole fractions lie in blue to green light spectrum region, 457 nm ≤ λ ≤ 570 nm and the minimum in yellow to red light spectrum region, 570 nm ≤ λ ≤ 678 nm. The largest absorbance is found at x = 0.25 with average absorbance value of 92.04% and maximum and minimum absorbance peaks at wavelength of 500.89 and 657.72 nm, respectively. At x = 0.35, average absorbance value decreased to 83.55% with maximum and minimum peaks at 505.73 and 613.68 nm, respectively. Then increased to 91.16% at x = 0.45 with maximum and minimum peaks at 506.04 and 618.56 nm, respectively. At x = 0.55, average absorbance value decreased to 80.12% with maximum and minimum peaks at 507.85 and 608.79 nm, respectively. Moreover, it can be seen that the addition of barium mole fraction leads to wider maximum absorbance or minimum transmittance peaks and narrower minimum absorbance or maximum transmittance peaks in the same range of the green and blue & red light spectrums, respectively. BST thin films with photonic crystals show increasing in absorption for all x values in the range of 3.04 into 13.33%. At x = 0.25, average absorbance percentage increased 3.96% from 92.4 into 95.68%, for x = 0.35 average percentage increased 7.07% into 89.45 from 83.55%. Furthermore, average absorbance of BST thin films at x = 0.45 increased 3.04% from 91.16 into 93.93% and x = 0.55 has
Keyword: