Judul: The addition of a noun word graph dictionary module in bogordelftconstruct
Abstrak: Knowledge Graph is a new method in Natural Language Processing that is used to describe human language and displaying it into a graph form. BogorDelftConStruct is a tool to analyze Indonesian text, developed by Deni Romadoni (2009). The tool has limited feature, opening many opportunities to add some other features. The goal of this research is to develop a noun word graph dictionary module and add it in BogorDelftConStruct. The patterns of the noun word-graph are based the research of Saleh (2009). In this research, of the 20 patterns in Saleh (2009) only 13 patterns are used, since some of word graph patterns which have the same affix and also have the different meaning. As many as 144 nouns were used in scenario testing, with 1 error was generated (99,33% accuracy).
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Judul: Pengembangan Modul untuk Kamus Word Graph Kata Sifat Pada Sistem Aplikasi BogorDelftConstruct
Abstrak: One of natural language processing methods that represents the result of semantic analysis of a text in a graph form is Knowledge Graph (KG). Until now, there are only a few researches using KG to do semantic analysis for texts in Indonesian language. Those researches were mainly focus on analyzing text, constructing rules to analyze text and engineering to understand the text. Some other researches have done semantic analysis from various part-of-speech. Nevertheless, the results of the research have not been implemented yet. To realize a long term goal of doing text abstraction automatically, BogorDelftConstruct has been developed as an early stage. In line with that, this research implemented semantic analysis for one part-of-speech in BogorDelftConstruct. The objective of the research is to develop an adjective word graph dictionary module in BogorDelftConstruct system. The adjective to be analyzed have 19 word graph patterns formed by affixation. Process of forming word graph started by getting root word and affix that contained in input word using stemming based on Kamus Besar Bahasa Indonesia (KBBI). Root word is used to search part-of-speech in KBBI. Part-of-speech of root word and affix is used as parameter to determine which pattern of adjective word graph that is appropriate. The appropriate pattern which contains the meaning of the word is generated in the system. The process of determining the appropriate pattern can be considered as a testing stage. In this module, from 19 patterns of adjective word graph, only 18 patterns that can be identified. A pattern of adjective word graph that unidentified is me-kata benda-kan. Adjective word graph me-kata dasar-kan and me-kata benda-kan have a similar former affix. Because of that, the system was not able to distinguish the two patterns. From 250 input words which used in testing module, there were 13 errors which resulted in accuracy of 94,80%. The occurrences of the error, was due to incapability of stemming function to produce intended root word and the uncompleteness of KBBI.
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Judul: Tingkat Kelahiran Ikan Plati Sunset Xiphophorus maculatus (Günther, 1866) pada Beberapa Tingkat Suhu Air
Abstrak: Ikan plati merupakan ikan hias air tawar yang bereproduksi dengan cara melahirkan (viviparous) dalam beberapa waktu. Memproduksi ikan plati dalam skala besar ternyata dihadapkan pada kendala yang besar, yaitu belum ada teknologi kelahiran anak serentak dalam satu waktu. Hal ini berdampak pada umur anak ikan tidak seragam dan pola tanam produksi terganggu, sehingga berujung pada ketidakefisienan dalam produksi. Pada penelitian ini dilakukan upaya penyerentakkan proses kelahiran oleh induk plati melalui rangsangan eksternal berupa peningkatan suhu secara mendadak. Penelitian ini menggunakan rancangan faktorial dengan empat perlakuan sebanyak tiga ulangan. Perlakuan kenaikan suhu yang diberikan adalah 30-32°C selama 12 dan 24 jam. Hasil yang diperoleh perlakuan kenaikan suhu ke 30°C selama 12 jam perlakuan memberikan tingkat induk melahirkan tertinggi.
Keyword: Ikan hias, Kelahiran, Poecillidae, Suhu, Xiphophorus maculatus