Judul: Pengembangan Sistem Penerjemah Kata dan Frasa Bahasa Inggris Menjadi Bahasa Indonesia dengan Model Peluang Bersyarat Bayes
Abstrak: Sistem penerjemah dapat dikembangkan dengan beberapa pendekatan di antaranya, rule-based, dictionary-based, statistical, example-based, dan hybrid. Penelitian ini mengembangkan sistem penerjemah Bahasa Inggris – Bahasa Indonesia menggunakan metode korpus paralel dengan pendekatan statistik. Pendekatan statistik yang digunakan adalah phrase-based model dengan peluang bersyarat Bayes. Model peluang bersyarat Bayes digunakan untuk mengetahui peluang kemunculan bersyarat dari query dua kata. Hasil penelitian menunjukkan bahwa metode Statistical Machine Translation dengan pendekatan phrase-based dapat diterapkan untuk pembangkitan kamus Bahasa Inggris ke Bahasa Indonesia. Hasil Mean Average Precision (MAP) untuk query satu kata adalah 0.787, sedangkan hasil MAP untuk query berupa frasa adalah 0.900. Hal ini terjadi karena pembobotan yang dilakukan hanya menggunakan frekuensi kemunculan kata.
Keyword: Bayes conditional probabilitistic model, mean average precision, parallel corpus, statistical machine translation, translator system.

Judul: Ekspansi kueri pada sistem temu kembali informasi berbahasa Indonesia menggunakan kamus dwibahasa
Abstrak: The most frequent problem on information retrieval is the users inability in representing information they need, in a query form. Thus, one of the solutions to overcome such situation is by applying query expansion technique. By applying the method, query will be expanded, and the new query produced will be used to do the search task. One of the approaches in determining the term of the expansion is Translation with Bilingualism Dictionary, which works through query translation process using dictionary, and the calculation of weight from each expanded candidate terms. In order to increase the relevance of the search result, this research uses Translation with Bilingualism Dictionary as the method to apply. Acknowledging the influence of the method, the research trial and error through the observation of the eleven recall precision number is applied to the produced retrieval result by using different expansion terms. Based on the observation of the produced precision number, it is identified that the use of Translation method in this research has not been successfull in increasing the relevance of the search results. The more expansion terms used, the smaller the precision number produced.
Keyword: Query expansion, Query translation, Information retrieval, Bilingualism dictionary

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4