Judul: Perbandingan Answer Set Programming dan Iterative Deepening Search dalam Menyelesaikan Game N-puzzle
Abstrak: N-puzzle is one of the known NP-complete problems in the field of puzzles and games. The purpose of N-puzzle is to arrange numbers from 1 to (n2-1) in an n x n grid, with one grid contains a blank square. The research aims to compare the use of Answer Set Programming (ASP), as one of the currently used formalism to express and solve hard computational problems, with the traditional Iterative Deepening Search (IDS) in solving the N-puzzle. An encoding of N-puzzle problem and solver was devised and executed using the DLV system, while IDS is implemented as an ad-hoc program solving the N-puzzle problem. The result of experiment shows that the ASP using DLV is more effective in finding solutions, because it requires no depth parameters to find solutions, while IDS does. On the other hand, the IDS implementation was more efficient in terms of execution time.
Keyword: 

Judul: Pemodelan dan Solusi Game Mate In One Puzzle dengan Representasi Logika Answer Set Programming
Abstrak: Since the beginning of AI, mind games, such as Chess, have been studied as application fields for AI. Several variation of chess related problems have been shown to be NP-complete. This research deals with the problem of Mate in One Puzzles. We employ Answer Set Programming (ASP) to tackle this problem. ASP has been, in the last decade, the subject of active research in the field of logic programming, knowledge representation, and reasoning. ASP allows for an intuitive representation of computationally hard problems as well as efficient solving using state-of-the-art solvers, such as DLV. In this research, a representation of Mate In One Puzzles has been formulated and a prototype application system written using PHP and DLV has also been implemented. Experimental results show that the system is capable of generating solutions for Mate in One problem efficiently. However, the representation is still not efficient enough to be used for more difficult class of problems such as Mate in Two and Mate in Three.
Keyword: 

Judul: Characterization of The Chemical Constituents and Antioxidant Capacity of Green and Oolong Teas (Camellia sinensis) Manufactured in Thailand
Abstrak: Tea in Thailand most manufactured in northern area, especially Chiang Rai, Chiang Mai, Nan, and Mai Hang Son province. The aim of this study was to determine and compare the chemical compositions and antioxidant capacity of 4 important Thai tea products. A total of 13 of green teas of 2 major cultivars, assamicaand cv. oolong no.12 (chin hsuan oolong) and 26 of oolong tea of 2 major varieties, cv. oolong no. 12 and cv. oolong no. 17 (chin shin oolong) were collected from 18 factories in Chiang Rai province in 2011. The total polyphenol content was determined according to International Organization for Standardization (ISO 14502-1). For antioxidant capacity, DPPH radical scavenging activitiy assay and ferric reducing antioxidant power assay were determined. The catechins content and caffeine content were determined using HPLC by ISO method (ISO-14502-2). Results showed that about 95% of the 39 tea samples manufactured in Thailand had moisture content below 7%, 5% of tea samples being above 7%. The total polyphenol content in green tea was found to vary from 11.86 to 21.19%GAE, while in oolong tea was found in a range of10.22 to 17.57%GAE. The caffeine content in green tea samples were in a range of 1.69 to 3.7%, while in oolong tea samples were in a range of 1.61 to 3.26%. The catechin content in green tea samples were in a range of 8.31-14.08%, while in oolong tea samples were in a range of 6.81-12.46%. The antioxidant capacity in green tea samples was 164.01 mmole TE/100 g dry basis, while in oolong tea samples was about 132.73mmole TE/100 g dry basis. This study provided useful information for the tea industry in Thailand and other countries in processing and selecting a good-quality tea.
Keyword: Antioxidant capacity, Camellia sinensis, Green tea, Oolong tea, Thailand