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: Modul Word Graph Kata Benda pada KG_EDITOR Berbasis Java Desktop
Abstrak: One natural language processing method that can represent result of semantic analysis of a text as a graph is Knowledge Graph (KG). BogorDelftConstruct is a software developed to analyze a text and visualize it as a graph using KG. BogorDelftConstruct was developed using MATLAB programming language, which is not freely accessible. Because of that, in this reseach we develop a system using Java programming language, so everyone can run this system freely. The objective of this research is to add a word graph module for Indonesian noun in the system. Indonesian nouns comprise of 20 word graph patterns. All but one of them are formed by affixation. The process of forming word graph is started by getting root word and affix contained in input word using stemming based on Kamus Besar Bahasa Indonesia (KBBI). The root word is used to determine the part-of-speech in KBBI, which is used as a parameter to determine which pattern is appropriate. The pattern containing the meaning of the word would then be generated by the system. In this word graph module, only 19 patterns can be implemented. From 176 words used in testing, there were only 4 errors, equivalent to an accuracy of more than 97%
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Judul: Pengaruh Sinar Merah Dengan Panjang Gelombang Yang Berbeda Terhadap Pertumbuhan Kultur Murni ChIarella
Abstrak: Chlorella merupakan salah satu mikroalga yang hingga saat Inl terus diupayakan pengembangannya melalui kegiatan budidaya. Chlorella memiliki banyak manfaat bagi manusia sebagai sumber protein, industri, farmasi dan kedokteran serta sumber pakan bagi larva ikan. Sinar merah diduga dapat diserap kuat oleh Chlorella untuk melakukan fotosintesa. Oleh karena itu penelitian ini bertujuan untuk mengetahui pengaruh sinar merah dengan panjang gelombang yang berbeda terhadap pertumbuhan dan kualitas kultur murni Chlorella pada skala laboratorium. Penelitian berlangsung dari bulan Juni hingga Juli 2000, bertempat di Laboratorium Lingkungan dan Laboratorium Kesehatan Ikan Jurusan Budidaya Perairan Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor. Penelitian dilakukan dengan melakukan kultur murni selama 24 hari. Wadah yang digunakan berupa botol plastik transparan yang telah dimodifikasi menjadi botol kulturberkapasitas 1500 ml sebanyak 12buah, Setiap wadah- dilengkapi dengan aerasi dan ditempatkan dalam kerangka ruang buatan yang telah ditutup dengan plastik hitam. Media kultur yang dipakai adalah pupuk komersil yang terdiri atas urea, TSP, KCl dengan rasio 800: 40 : 15 ppm (Priyadi et 01., 1991). Rancangan percobaan yang digunakan adalah Rancangan Acak Lengkap dengan empat perlakuan dan tiga ulangan. Perlakuan pada penelitian ini adalah dengan pemberian penyinaran panjang gelombang 640 nm, 650 nm, 660 nm dan kontrol (cahaya putih). Sumber sinar yang dipakai berasal dari lampu TL 40 watt yang direkayasa agar masing-masing perlakuan mendapatkan penyinaran panjang gelombang yang telah ditentukan. Parameter-parameter yang diamati adalah jumlah sel Chiarella, analisa klorofil, serta parameter suhu dan pH. Hasil pengamatan terhadap jumlah populasi Chiarella memberikan informasi bahwa kepadatan populasi tertinggi dicapai oleh perlakuan panjang gelombang 640 nm (113.33 x 104 ind/mI) pada hari ke-Il. Selanjutnya secara berturut-turut diikuti oleh perlakuan panjang gelombang 650 nm (95.83 x 104 ind/ml) pada hari ke-IO, 660 nm (47.5 x 104 ind/mI) pada hari ke-8 dan kontrol (25.0 x 104 ind/mI) pada hari ke-6.
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