Judul: Cross Language Question Answeing System Menggunakan Pembobotan Heuristic dan Rule Based
Abstrak: Cross Language Question Answering (CL-QAS) means that the question is expressed in another language than that in which documents from which the answer is extracted are written. The challenge therefore was to identify answers to a Indonesian question in a collection of English documents. The focus of the evaluation was on finding answers, so translation of the answer from English into Indonesian was not required. The first step on CL-QAS 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. Parsing the query will be done for separating between question words and question sentences or keyword. This keyword will be used for feedback the document and top passage. The passage will score using heuristic and rule based method. The candidate answer then will extracted from the passage which have the highest score. The candidate answer which have the nearest distance average with the keyword will be returned as an answer for the query. Evaluation for the answer is based on four criteria: right,unsupported,wrong, and null. Experiment is do by comparing the result of passage heuristic and rule based scoring. Comparing is do by getting the result of top passage and the correct answer from those two kind of passage scoring. The heuristic scoring produced the highest percentage for right criteria 92.5%, unsupported criteria 0%, wrong criteria 7.5% and null criteria 0% whereas rule based producing for right criteria 90%, unsupported criteria 0%, wrong criteria 10%, and null criteria 0 %.
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Judul: Analisis Pertanyaan Berbahasa Indonesia pada Question Answering System (QAS)
Abstrak: Question analysis is the first step in QAS. This step decides the final result of QAS process because the result of question analysis is used to retrieve relevant document and answer entity correctly. 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 the answer candidate, while other words beside the question word are used to analyze the question. Question analysis process is started by parsing the keyword become tokens. The parsing is conducted with regarding token’s pair possibility as a phrase. This phrase formation is expected to be able to keep the semantic aspect of question sentence. The question sentence that has parsed is used to retrieve document and top passage. Top passage is obtained through heuristic scoring. 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. The evaluation result of system showed the more correct answer for the less number of documents. The result of 106 tested documents was 75.56 % for criteria right, 2.22 % for criteria unsupported, 17.78 % for criteria wrong, and 4.44 % for criteria null. The result of 200 tested documents was 73.33 % for criteria right, 22.22 % for criteria wrong, and 4.44 % for criteria null. The result of 300 tested documents was 71.11 % for criteria right, 22.22 % for criteria wrong, and 6.67 % for criteria null. This decreasing of percentage is caused by the less correct of passage scoring method that was used.
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Judul: Pengaruh media tanam dan panjang Stek daun terhadap inisiasi tunas Muda lidah mertua (sansevieria Trifasciata “lorentii”)
Abstrak: Penelitian ini dilakukan untuk mengetahui pengaruh media tanam dan panjang stek daun terhadap inisiasi tunas muda lidah mertua (Sansevieria trifasciata ‘Lorentii’) yang dilakukan di Kebun Percobaan Leuwikopo IPB Dramaga pada bulan November 2010 sampai Februari 2011. Rancangan percobaan yang digunakan adalah Rancangan Kelompok Lengkap Teracak (RKLT) dengan dua faktor dan tiga ulangan. Faktor pertama adalah media tanam terdiri atas campuran tanah dan pupuk kandang kambing, arang sekam dan serbuk kayu. Faktor kedua adalah panjang stek daun lidah mertua yang terdiri atas 5 cm, 10 cm, dan 15 cm. Hasil penelitian menunjukkan bahwa persentase stek hidup, persentase stek berakar, persentase stek bertunas, panjang akar, jumlah tunas, bobot basah dan bobot kering tunas tertinggi ditunjukkan oleh stek dengan panjang 15 cm yang ditanam di media campuran tanah dan pupuk kandang kambing. Media terbaik untuk memicu inisiasi tunas muda Sansevieria adalah media campuran tanah dan pupuk kandang kambing. Panjang stek Sansevieria terbaik untuk perakaran adalah 10 dan 15 cm, sedangkan panjang stek terbaik untuk inisiasi tunas muda Sansevieria adalah panjang stek 15 cm. Stek Sansevieria dengan panjang 15 cm yang ditanam pada media campuran tanah dan pupuk kandang kambing merupakan perlakuan terbaik untuk inisiasi tunas muda Sansevieria.
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