Judul: Pembentukan Passage dalam Question Answering System untuk Dokumen Bahasa Indonesia
Abstrak: Indonesia. Supervised by AHMAD RIDHA. Passages are used by question answering system to get pieces of relevant documents. This research compared various aspects of passages: overlapping and non-overlapping passages, sentencebased and word-based passages, and passage formation time (before and after indexing). Types of question in this research are siapa (who), di mana (where), kapan (when), and berapa (how many). For indexing and retrieval process, we used BM25 and proximity algorithms from Sphinx. Top documents or passages were re-weighted using rules to get passages containing answers candidate. Answer extraction was performed using the smallest distance between query and candidate answers. Evaluation was conducted using mean reciprocal rank and answer accuracy (four criteria: Right, Unsupported, Wrong, and Null). The best result was obtained using BM25 for two kinds of passage, namely, 20 overlapping words with 80% accuracy and 30 overlapping words with 77.5% accuracy, where both considered one tag as one word and were formed after indexing. The best result for proximity were obtained three kinds of passages, namely, 2 overlapping sentences with 77.5% accuracy, 2 non-overlapping sentences with 77.5% accuracy, and 20 overlapping words with 77.5% accuracy, they also considered one tag as one word and were formed after indexing. The average performance based on mean reciprocal rank for passage by using BM25 and Proximity are 75.1% and 76.1%, respectively. The passages formed after indexing have better accuracy which indicates retrieving relevant documents is important for question answering system.
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Judul: Pemilihan passages dalam Question Answering System untuk dokumen berbahasa Indonesia
Abstrak: The first step on Question Answering System was the user enter question query. The used question query is limited to question type: WHO, WHERE, WHEN, and HOW MANY or HOW MUCH. The question word on query is used to obtain an answer candidate, while other words beside the question word are used to analyze the question. Question analysis process is started by parsing into keyword become tokens. The question sentence that has parsed is used to retrieve document and top passage. Top passage is obtained of question from passages that has highest point. Passages was done by three scoring method : rule-based, heuristic, and combination of rule-based with heuristic. The answer extraction is conducted by calculating the nearest distance between each answer candidate in top passage and each word in keyword. Answer correction is evaluated by using these criteria: right, unsupported, wrong, and null.
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Judul: Parasitemia dan gambaran darah mencit yang diinfeksi Trypanosoma evansi setelah pemberian partikel nano logam kobalt
Abstrak: Kobalt adalah mineral yang penting untuk maturasi eritrosit dan menstimulasi eritropoiesis. Trypanosomias merupakan penyakit yang menyerang hewan ternak dan hewan domestik yang disebabkan oleh Trypanosoma evansi (T. evansi). T. evansi dapat menginduksi kerapuhan eritrosit dan anemia. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian nano logam Co pada mencit yang diinfeksi T. evansi. Penelitian ini menggunakan mencit jantan dewasa berumur ± 10 minggu yang dibagi 5 kelompok perlakuan yaitu kelompok kontrol infeksi (KP), kelompok kontrol non infeksi (KN) dan kelompok yang diinfeksi T. evansi dan dosis logam bertingkat (Co 190 mg/kg bobot badan (D1), 380 mg/kg bobot badan (D2), dan 760 mg/kg bobot badan (D3). Parameter yang diamati adalah, persentase parasitemia, nilai PCV, kadar Co dalam darah, dan mortalitas. Tingkat parasitemia D1 lebih tinggi secara nyata dibandingkan dengan KN (p<0.05). Terjadi penurunan pada nilai PCV pada semua perlakuan yang diinfeksi T. evansi. Adapun kadar Co dalam darah mengalami fluktuasi dari hari ke-0 sampai hari ke-7. Kematian terjadi pada hari ke-7 pada hewan coba D1, sedangkan D2 dan D3 telah menyebabkan kematian hewan coba dari hari ke-4. Penelitian ini menunjukkan pemberian nano logam Co belum memberikan efek anti T. evansi. Penelitian efektifitas Co terhadap T. evansi dengan formulasi lain dapat dilakukan lebih lanjut.
Keyword: Cobalt, Nano metal, Surra, Trypanosoma evansi, Trace element