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: Cross Language Question Answering System Menggunakan Pembobotan Heuristic dan Multidokumen
Abstrak: People tend to ask when they need to get some information. This often raises a difficulty whenever available information is not in same the language with the person understands or speaks. Cross Language Question Answering System (CL-QAS) is an information retrieval system that is able to handle this kind of situation. It accepts a question query as the input and outputs the answer in the translated language. In this study, CL-QAS is developed that takes query in Indonesian language and answers in English. The system output is calculated by weighting heuristic and multi-documents. The average time to produce answer is quite fast, i.e. 3.03 seconds. The system accuracy is good considering for the following queries: SIAPA (100%), KAPAN (100%), DIMANA (100%), and BERAPA (90%).
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Judul: Pengaruh Kebergantungan Sudut Permukaan Fermi terhadap Tekanan Anisotropik Inti Bintang Neutron
Abstrak: Telah dihitung persamaan keadaan bintang neutron untuk symmetric nuclear matter (SNM), pure neutron matter (PNM), dan neutron star matter (NSM) dengan asumsi anisotropik. Asumsi ini terkait dengan permukaan Fermi bintang neutron yang tidak lagi spherical (terdeformasi) dan harus dimodifikasi dengan menambahkan faktor sudut dengan parameter . Variasi delta yang diterima yang sesuai dengan data eksperimen energi ikat berkisar dari 0 hingga 0.02. Persamaan TOV dimodifikasi dengan menambahkan suku anisotropik , yaitu selisih dari tekanan radial dan tangensial. Massa maksimum bintang neutron yang diperoleh ada pada rentang 1.78 - 2.35 kali massa matahari (Mʘ) dengan jari-jari berkisar 11.96 – 13.59 km. Tekanan radial dan tangensial berkontribusi terhadap penurunan massa bintang neutron dan memperbesar jari-jari di pusat bintang neutron.
Keyword: anisotropik, radial, sigma, tangensial, tekanan, TOV