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 Menggunakan XML untuk Frasa Nominal, Verbal, dan Adjektival dalam Bahasa Indonesia
Abstrak: Knowledge Graph (KG) is one of the methods to visualize a text as a graph. KG gives more emphasis on the semantic aspect or meaning of a text, which distinguishes it from other methods. The research on KG will be completed when it can process a text and summarize the text in the form of graphs. Previous research has created a system that can represent the pattern of the word graph from nouns, verbs, adjectives, adverbs and preposition phrases in Bahasa Indonesia using XML. This research continues with the word graph representing patterns of nominal, verbal, and adjectival phrases in Bahasa Indonesia using XML, where the patterns are based on previous research by Mahmuda. Forty XML modules had been created from this research. The modules have been tested into Knowledge Graph Viewer System from Computer Science Department, IPB. Twenty nine modules can be perfectly displayed and are in accordance to Mahmuda’s research.
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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).
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