Judul: The construction of a rule to combine sentence graphs
Abstrak: Nowadays, people prefer to read an electronic article or text and it requires a short time to understand the content or substance of the text. This is due to time constraints and other activities are more important than reading. However, reading remains an important thing to do. This can be solved by making a summary of the text. Summary text is done by using the Knowledge Graph and carried through two stages, namely representation and simplification or simplification results representation. Representation of a text is carried out in stages because the text has several elements, ie words, phrases, clauses, sentences, and paragraphs. Representation of text elements that have been researched are words, phrases, and clauses. The representation can be used to generate a representation of the sentence. Representation of sentences requires a rule so that everyone produces the same representation. Therefore, the authors conducts a study on a representation of the meaning of the sentence. This research aims are to create a rule to construct a sentence graph and a rule to combine sentence graphs. The benefit of this research is to provide the rules for constructing a sentence graph thus eliminating the ambiguity of the sentence. Knowledge Graph method is a way to describe or represent of human language that is more centered on the semantic aspects of the syntactic aspect. The Knowledge Graph consists of two components, namely concept and relationship. Concept consists of three elements, namely token, type, and name. Token is a concept that is understood by a person according to their perspectives; this affects token to be subjective. Type is a concept that has been agreed and it is considered as general information so that affect type to be objective. Name is an individualized concept and unique. Relationship consists of several types of relations, namely ALI, CAU, SUB, DIS, ORD, PAR, EQU, and SKO. ALI relation is used to connecting the token with the type. CAU relation is used to connecting the two concepts that have a causal relationship. SUB relation expresses a concept as a part of another concept. DIS relation is used to presenting two concepts are not the same. ORD relation is stated that two things have a certain order to each other. PAR relation is stated that a thing is an attributes (properties) of the other things. EQU relation is used to connecting the two equal or similar concept. SKO relation expresses dependency relationship between two concepts. This study uses a sentence that has a type based on the basic structure of the sentence, which is the structure of subject-predicate sentence, the structure of subject-predicate-object sentence, the structure of subject-predicate-adverb sentence, the structure of subject-predicate-complement sentence, the structure of subject-predicate-object-adverb sentence, and the structure of subject-predicate-object-complement sentence. Chronology of the research is as follows, (1) studying literature which is about the types of sentences, the Knowledge Graph methods, the application of the Knowledge graph methods, and the standard procedures for Indonesian language. (2) creating rules to construct a sentence graph, with the following steps, (2a) construct a sentence graph, (2b) test rules to
Keyword: a rule to combine sentence graphs, a rule to construct a sentence graph, Knowledge Graph, Sentence Graph

Judul: Kontraksi pola graf klausa Bahasa Indonesia menggunakan metode knowledge graph
Abstrak: Knowledge graph is a new method of knowledge representation. In principle, knowledge graph consists of concept and relationship. There are already rules of constructing wordgraphs of noun, verb, adverb, adjective, preposition, and phrase. However to be able to represent the meaning of Indonesian text we still need other rules to represent clause and sentence. This research is mainly focused on constructing a subordinative clause graph and building rules of subordinative clause graph formation. In this research, subordinative clause is classified by analyzing the subordinative relationship (time, condition, if-relation, purpose, consessive, resemblace, because-relation, result, way-relation, tool-relation, complementation, attributive, equative, and comparative) and the structure of clause (the combination of subject, predicate, object, complement, and description). After the result of constructing subordinative clause graph is analyzed and formulated, the subordinative clauses are classified based on the same conjunction graph pattern and clause structure graph pattern, and we get 13 conjunction graph patterns and 48 clause structure graph patterns for subordinative clause in Indonesian.
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Judul: Ketahanan Benih Udang Vaname Litopenaeus vannamei SPF (Specific Pathogen Free) Terhadap Infeksi Buatan TSV (Taura Syndrome Virus)
Abstrak: White shrimp culture had suffered from losses due to the outbreak of TSV in which mortality could achieved 95%. Therefore SPF shrimp is required as a preventive effort. This research was conducted to evaluate the resistance of white shrimp seed obtained from several SPF broodstock to TSV. Infection of TSV was carried out by feeding flesh of TSV-infected shrimp to PL 30 for 2 days at a feeding rate of 50%. After that, shrimp was fed commercial diet at 10% feeding rate till the end of experiment (11 days of culture). Parameters observed included survival rate, clinical symptoms, and weigth gain. After 11 days of culture, all the tested shrimps were infected, showing clinical symptom namely black spot on the body and the tail became red. The highest survival rate was obtained at S6 code (77,33±3,51%), while the lowest was observed at S4 code but statistically was different significantly (P<0,05) compared to other.
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