Judul: Pengembangan sistem koreksi frasa bahasa indonesia berbasis konteks
Abstrak: This research proposes a new method, phrase pair together with opportunity value to give a proposed word as a correction result. Conditional probability formula is used to determine the value of opportunities of each phrase pair. Formation of phrase in this study is determined among words that are in a sentence and considered to have similar contexts. The corpus used consist of 2000 documents originating from the Laboratory of Information Retrieval, Department Computer Science, Bogor Agricultural University. Processing of document produces 90,077 pairs of phrases together with the opportunity values. Testing of this correction system uses two types of queries (common query and specific query) and two type of errors (context error and Damerau error). The context based correction system is appropriate to implement on the type of specific query. Accuracy values produced by system are 60% on spesific query and 56.67% on spesific query with context error and Damerau error. Restriction of system by giving 10 proposed words causing there is a correct proposed word but which is not included in 10 proposed words. The solution is by increasing the proposed word produced by the system. In common query, the system has poor performance. The poor accuracy emerges due to the lack of method in determination of correcting word, there are pair phrases that have high opportunity value but do not have similar context and are not included in Big Dictionary of Indonesian (KBBI) and there are pair phrases that have similar context but have low opportunity value.
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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: Heavy Metal (Hg, Cd, Pb and Cu) in Long Whiskered catfish Mystus gulio (Hamilton, 1822) in Bojonegara Waters
Abstrak: Aktivitas antropogenik seperti industri, domestik dan pelayaran merupakan penyumbang utama masuknya logam berat di perairan Bojonegara dan sekitarnya. Penelitian ini dilaksanakan pada bulan Agustus hingga Oktober 2020 di perairan Bojonegara, Teluk Banten. Penelitian ini bertujuan untuk menentukan tingkat akumulasi logam berat (Hg, Cd, Pb dan Cu) yang terkandung dalam daging ikan lundu Mystus gulio (Hamilton, 1822) di perairan Bojonegara, Teluk Banten. Lokasi penelitian ditentukan menggunakan teknik purposive sampling. Konsentrasi logam berat Hg, Cd, Pb, Cu pada daging ikan lundu berturut-turut <0,001 mg kg-1 (Hg), <0,005 mg kg-1 (Cd), <0,030 mg kg-1 (Pb) dan 0,699-10,920 mg kg-1 (Cu), nilai tersebut berada di bawah baku mutu menurut PerBPOM RI (2018) dan SK Departemen Kesehatan RI tahun 1989. Akumulasi Cu>Pb>Cd>Hg terjadi pada daging ikan lundu ukuran kecil maupun besar. Bioakumulasi ikan lundu yang ditangkap di perairan Bojonegara, Teluk Banten tergolong dalam akumulasi sedang hingga tinggi untuk logam berat Cu. Bioakumulasi logam berat Hg, Cd, dan Pb termasuk ke dalam kategori akumulasi rendah., Anthropogenic activities such as industrial, domestic, and shipping are the main contributors to the entry of heavy metals into the Banten Bay and the surrounding areas. This research was conducted from August to October 2020 in the coastal waters of Bojonegara, Banten Bay. This study aim to estimate the accumulation of heavy metals (Hg, Cd, Pb and, Cu) contained in long whiskered catfish Mystus gulio (Hamilton, 1822) in the Bojonegara coastal waters. The research location was determined using a purposive sampling technique. Based on the analysis, the heavy metal content in the fish meat were <0,001 mg kg-1 (Hg), <0,005 mg kg-1 (Cd), <0,030 mg kg-1 (Pb) and 0,699-10,920 mg kg-1 (Cu); the values were less than BPOM (2018) and Regulation of the Minister of Health Republic of Indonesia 382/1989 standard. The accumulation of Cu>Pb>Cd>Hg occurred in the small and large fish. The fish caught in Bojonegara Coastal Waters of Banten Bay have moderate to high accumulation levels of Copper (Cu). The accumulation level of Hg, Cd, Pb is included in the low category.
Keyword: accumulation of heavy metals, Banten Bay, heavy metals, Mystus gulio