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 Modul untuk Kamus Word Graph Kata Sifat Pada Sistem Aplikasi BogorDelftConstruct
Abstrak: One of natural language processing methods that represents the result of semantic analysis of a text in a graph form is Knowledge Graph (KG). Until now, there are only a few researches using KG to do semantic analysis for texts in Indonesian language. Those researches were mainly focus on analyzing text, constructing rules to analyze text and engineering to understand the text. Some other researches have done semantic analysis from various part-of-speech. Nevertheless, the results of the research have not been implemented yet. To realize a long term goal of doing text abstraction automatically, BogorDelftConstruct has been developed as an early stage. In line with that, this research implemented semantic analysis for one part-of-speech in BogorDelftConstruct. The objective of the research is to develop an adjective word graph dictionary module in BogorDelftConstruct system. The adjective to be analyzed have 19 word graph patterns formed by affixation. Process of forming word graph started by getting root word and affix that contained in input word using stemming based on Kamus Besar Bahasa Indonesia (KBBI). Root word is used to search part-of-speech in KBBI. Part-of-speech of root word and affix is used as parameter to determine which pattern of adjective word graph that is appropriate. The appropriate pattern which contains the meaning of the word is generated in the system. The process of determining the appropriate pattern can be considered as a testing stage. In this module, from 19 patterns of adjective word graph, only 18 patterns that can be identified. A pattern of adjective word graph that unidentified is me-kata benda-kan. Adjective word graph me-kata dasar-kan and me-kata benda-kan have a similar former affix. Because of that, the system was not able to distinguish the two patterns. From 250 input words which used in testing module, there were 13 errors which resulted in accuracy of 94,80%. The occurrences of the error, was due to incapability of stemming function to produce intended root word and the uncompleteness of KBBI.
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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