Judul: Penambahan Representasi Word Graph Menggunakan XML untuk Frasa Preposisional dalam Bahasa Indonesia
Abstrak: Language becomes a very important part in human life because language plays a role in the creation of communication between people in conveying intent and information. Language can be divided into 2 types: natural language and artificial language. Knowledge graph theory is a new approach for natural language understanding. In knowledge graph theory, there are 9 binary relationships and 4 frame relationships. A word is represented by a word graph. Research has been conducted about word graph by students of Departement of Computer Science, Bogor Agricultural Institute. Previous research produced a system to represent word graph of Indonesian noun, verb, and adjective phrases. However, to be able to represent the meaning of Indonesian text we still need other phrases. Therefore, in this research we try to construct a system of word graph Indonesian for prepositional phrases. This research produces 23 word graph patterns in XML for prepositional phrases
Keyword: prepositional phrases, word graph, XML.

Judul: Representasi Word Graph Frasa Preposisional Bahasa Indonesia Menggunakan XML
Abstrak: Knowledge Graph (KG) is one of the methods in natural language processing that can be used to represent either knowledge or information in a form of a graph. KG is also used to minimize the problem of ambiguity in text processing. KG has been applied to form word graphs for prepositions. The objective of this research is to represent word graphs for Indonesia prepositional phrases using XML. We developed a Java based system to accept a prepositional phrase and determine the appropiate pattern for it. The system would then generate an XML document to represent the pattern. This research uses 51 preposition words and 12 types of accompanying word preposition. The total of accompanying word prepositions are 649 words. There are 127 kinds of prepositional phrase patterns formed in this research and 26 patterns of word graph prepositions represented in an XML document. The root for each XML word graph document preposition is called Graph Element. The Graph Element comprises of two leaves elements: Components and Relationships. The Components contains the list of elements used in forming the pattern of word graph preposition. The Relationships contains the relation between elements used in the Components.
Keyword: 

Judul: Insecticidal Activity of Essential Oils Leaves of Cinnamomum spp. (Lauraceae) against Crocidolomia pavonana and Their Phytotoxicity on Broccoli Seedlings
Abstrak: Essential oils from leaves of 13 species of Cinnamomum were tested for their insecticidal activity on the cabbage head caterpillar Crocidolomia pavonana with leaf immerse method. The results showed that the treatment with 1% (w/v) essential oils leaves of C. celebicum, C. multiflorum, C. sintoc, and C. verum caused 21.45, 93.65, 60.30, and 76.10% mortality, respectively. Based on the results of phytotoxicity and insecticidal activity tests, C. multiflorum oil was further tested at 6 concentration levels. In all treatments, larval mortality has occurred at 24 hours after treatment (HAT) and increased at 48 HAT. LC50 of C. multiflorum oil at 24 and 48 HAT was 0.504 and 0.396%, respectively. The treatment with C. multiflorum oil at ≤0.31% did not inhibit the development of C. pavonana larvae. Determination of the chemical constituents of Cinnamomum oils were carried out by gas chromatography-mass spectrometry (GCMS). Totally, 345 compounds were identified. Methyleugenol constituted the main component (49.4%) of leaf essential oil of C. multiflorum and was assumed to be responsible for the insecticidal activity of the oil against C. pavonana larvae. LC50 of pure methyleugenol obtained at 0.365% (48 HAT) and 0.363% (72 HAT). The results showed that C. multiflorum was more effective with LC50 value equivalent to methyleugenol content of 0.32% (24 HAT) and 0.24% (48 HAT).
Keyword: