Judul: Penentuan Subjek Otomatis Berbasis DDC pada Dokumen Perpustakaan miMenggunakan Algoritme Lin Similarity
Abstrak: Subject classification for library document with Dewey Decimal Classification (DDC) system is difficult to perform manually. The goal of this research is to make an application that automatically do perform subject classification for library document using similarity method. We use Natural Language ToolKit (NLTK) with Wordnet module to find similarity between keyword and DDC class. DDC is a hierarchy classification. We use Lin Similarity to find similarity between two words, with Brown corpus for Information Content (IC) of Wordnet. Wordnet can find similarity for only noun and verb, so we do not process other kinds of word. We use 30 documents combination of theses and dissertations in Bogor Agriculture University. We use 3 different methods to decide the relevant class of DDC which is similar to a document keyword. The first method is maximum-maximum method, the second one is maximum-average method, and the third method is maximum-minimum method. The first method results in 6 documents having the same main class, 2 documents having the same division class, and 0 document having the same section class. The second method results in 5 documents having the same main class, 1 document having the same division class, and 0 document having the same section class. The third method results in 3 documents having the same main class, 2 documents having the same division class, and 0 document having the same section class.
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Judul: Klasifikasi dokumen bahasa Indonesia menggunakan metode Dynamic Classifier Selection with Local Accuracies
Abstrak: Dynamic classifier selection with local accuracies (DCS-LA) uses k-Nearest Neighbor (kNN) to combine multiple classifiers. The purpose of this research is to compare classification performance using single classifiers (Rocchio, Bayes, and Bernoulli) with DCS-LA combining them. This research classified 249 agricultural documents (3 classes) and 750 news documents (5 classes). The single classifiers obtained different accuracies for the agricultural documents and the news documents. The accuracies for agricultural documents are 52%, 44%, and 61.34% for Rocchio, Bayes, and Bernoulli, respectively, while using news documents resulted in better accuracies, i.e., 81.6%, 86.4%, and 85.6% for Rocchio, Bayes, and Bernoulli, respectively. Similarly, the accuracy of DCS-LA is 56% and 86% for agricultural documents and news documents, respectively. This accuracy is higher than the average accuracy of single classifiers because of the local accuracy calculation in DCS-LA. The accuracy for the news documents is always higher than that of the agricultural documents, because the classes in agricultural documents are highly related. The relation can be seen from the percentage of common words shared among the classes. In the agriculture documents, in average of common words is 48% while it is 10% in the news documents.
Keyword: Classification, DCS-LA, Bayes, Rocchio, Bernoulli, Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Kajian strategi pengembangan usaha industri kripik singkong PT. Inti Sari Rasa di Bekasi:
Abstrak: Sebagai sumber daya lokal, singkong dinilai sebagai salah satu komoditi unggulan di Indonesia, karena (a) dapat dimanfaatkan sebagai makanan pokok pengganti beras, (b) metode budi daya penanaman yang relatif mudah karena dapat ditanam dimana saja dan dengan biaya relatif murah, (c) mempunyai peluang ekspor produk yang cukup baik, (d) dapat diproduksi oleh tenaga kerja yang cukup murah (rural employement), serta (e) teknik pengolahan yang sederhana (low level of technological requirement). Salah satu produk berbahan baku singkong yaitu kripik singkong, yang pengembangannya cukup diminati oleh masyarakat, tidak terkecuali masyarakat yang berdomisili di daerah Bekasi dan sekitarnya. Mengingat singkong sebagai bahan baku utama yang merupakan industri hulu maka industri kripik singkong dapat dinilai sebagai industri hilir. Salah satu perusahaan yang bergerak di Industri kripik singkong adalah ”PT. Inti Sari Rasa” yang didirikan sejak tahun 1981 oleh Bp. Zainal Arifin berlokasi di Jalan Bukit Kencana No. 57 Kel. Jati Makmur Kec. Pondok Gede Bekasi. Perjalanan panjang perusahaan tersebut dalam menjalankan usaha industri kripik singkong belum mampu meningkatkan perkembangan usaha sebagaimana harapan manajemen perusahaan. Pengembangan dan pemberdayaan usaha industri kripik singkong PT. Inti Sari Rasa dalam meningkatkan daya saing produknya dan peningkatan usahanya mengalami banyak kendala, baik yang bersifat internal dan eksternal.
Keyword: kripik singkong, industri hulu, industri hilir, Bekasi, makanan pokok