Judul: Solving 0-1 Knapsack Problem Using Migrating Birds Optimization Algorithm and Particle Swarm Optimization Algorithm
Abstrak: Masalah knapsack merupakan permasalahan optimisasi kombinatorial yang diklasifikasikan sebagai NP-complete problem. Tujuannya adalah untuk memperoleh keuntungan maksimum tanpa melebihi kapasitas knapsack dengan objek yang dipilih. Ada beberapa metode yang dikembangkan untuk permasalahan ini, salah satunya adalah metode meta-heuristic. Pada karya ilmiah ini, digunakan metode meta-heuristic migrating birds optimization (MBO) dan particle swarm optimization (PSO) untuk menyelesaikan masalah knapsack. Hasil yang diperoleh menunjukkan bahwa algoritme MBO menghasilkan keuntungan yang relatif lebih besar dibandingkan algoritme PSO., Knapsack problem is a combinatorial optimization problem which is classified as an NP-complete problem. Its aim is to achieve maximum benefit without exceeding the capacity of the knapsack with the selected objects. There are several methods developed for this problem, one of them is a meta-heuristic method. In this manuscript, migrating birds optimization (MBO) and particle swarm optimization (PSO) as meta-heuristic methods will be used to solve the knapsack problem. The result obtained shows that the MBO algorithm produces a relatively larger benefit than the PSO algorithm.
Keyword: knapsack problem, meta-heuristic method, migrating birds optimization, particle swarm optimization

Judul: Penyelesaian Cutting Stock Problem Satu Dimensi Menggunakan Algoritme Particle Swarm Optimization
Abstrak: Cutting stock problem (CSP) merupakan permasalahan pemotongan persediaan yang sering dijumpai di banyak industri. Tujuannya untuk mendapatkan sisa pemotongan seminimum mungkin, namun tetap memenuhi permintaan pelanggan. Ada beberapa metode yang dapat digunakan untuk menyelesaikan permasalahan ini. Pada karya ilmiah ini, digunakan metode heuristik particle swarm optimization (PSO) sebagai penyelesaian masalah CSP. Pada tahap pertama penulis menentukan kombinasi pola pemotongan yang mungkin dapat digunakan dengan bantuan bahasa pemrograman Python. Selanjutnya, dibuat model matematis dan kendala sesuai pola yang tersedia. Kemudian, algoritme PSO digunakan untuk menentukan kombinasi pola potongan supaya menghasilkan sisa pemotongan yang paling sedikit. Diawali dengan inisialisasi parameter yang digunakan. Kemudian setelah diimplementasikan, menghasilkan kombinasi pola pemotongan rol kertas yang optimum yaitu sebanyak tiga rol untuk pola satu, 29 rol untuk pola 23, enam rol untuk pola 27 dan 29 rol untuk pola 32., Cutting stock problem (CSP) is an inventory cutting problem that is often encountered in many industries. The goal is to get the remaining cutting to a minimum, while still meeting customer demands. There are several methods that can be used to solve this problem. In this scientific paper, the heuristic particle swarm optimization (PSO) method is used to solve the CSP problem. In the first stage the author determines the possible combination of cutting patterns that can be used with the help of the Python programming language. Next, a mathematical model and constraints are made according to the available patterns. Then, the PSO algorithm is used to determine the combination of cut patterns in order to produce the least amount of cutting residue. It begins with the initialization of the parameters used. Then after it was implemented, it resulted in the optimum combination of aluminum roller cutting patterns as many as three rolls for pattern one, 29 rolls for pattern 23, six rolls for pattern 27 and 29 rolls for pattern 32.
Keyword: cutting stock problem, particle swarm optimization, trim loss

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4