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 Content of Hg, Pb, and Cd in Skipjack Tuna Katsuwonus pelamis (Linnaeus, 1758) in Waters of Bacan Island, North Maluku
Abstrak: Pulau Bacan memiliki sumberdaya perikanan yang sangat potensial. Namun, di Pulau Bacan berlangsung aktivitas antropogenik seperti pertambangan, pertanian, perkebunan, dan pelabuhan yang berpotensi menimbulkan pencemaran logam berat di perairan. Penelitian ini bertujuan menganalisis tingkat bioakumulasi logam berat Hg, Pb, dan Cd pada ikan cakalang (Katsuwonus pelamis Linnaeus, 1758) di perairan Pulau Bacan, Halmahera Selatan, Maluku Utara. Pengambilan sampel air dan pengukuran parameter kualitas air serta pengambilan bagian daging, insang, dan hati ikan cakalang berlangsung pada bulan Februari 2022. Pada air, kandungan logam berat Hg, Pb, dan Cd telah melampaui baku mutu. Kandungan logam berat Hg, Pb, dan Cd tertinggi pada ikan cakalang ditemukan pada hati, sedangkan terendah pada daging. Pada daging ikan cakalang, tingkat akumulasi Hg, Pb, dan Cd tergolong rendah., Bacan Island has a high potential of fishery resources. However, anthropogenic activities such as mining, agriculture, and ports taking place on Bacan Island cause heavy metal pollution in the waters. This study aimed to analyze the bioaccumulation level of heavy metals such as Hg, Pb, and Cd in skipjack tuna (Katsuwonus pelamis Linnaeus, 1758) in the waters of Bacan Island, South Halmahera, North Maluku. Water sampling, measurement of water quality parameters and fish sampling was conducted in February 2022. In the water, the heavy metals concentration of Hg, Pb, and Cd has exceeded the quality standard. The highest concentration of Hg, Pb, and Cd was found in the liver, while the lowest was in the muscle. In skipjack tuna muscle, the accumulation level of Hg, Pb, and Cd is low.
Keyword: Bacan Island, heavy metal, skipjack tuna