Judul: Temporal Entity Tagging untuk Dokumen Bahasa Indonesia
Abstrak: One of the processes in document pre-processing is providing identifier tags called Named Entity Tagging. This research aims to implement a temporal entity tagging in Indonesian language documents with rule-based method. Temporal expressions are marked with DATE tag and the temporal value of the expression. Temporal expression comprise explicit expression, implicit expression, and event expression. The rules were obtained by analyzing temporal expressions in 100 Indonesian documents. There are 40 derived rules implemented in this system over 341 temporal expressions in the document. The system could find all of the temporal expressions consisting of 150 explicit temporal expressions, 155 implicit temporal expressions, and 36 event expressions. Also, the evaluation was conducted on 34 other documents. The system can correctly identify as many as 122 of 129 temporal expression contained in the additional documents. The system has achieved an accuracy of 100% for the 100 initial documents and 94.57% for the 34 test documents. Thus, rule-based identification of temporal entities for Indonesian performs well.
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Judul: Named entity tagging untuk dokumen berbahasa Indonesia menggunakan metode berbasis aturan
Abstrak: The main objective of this research is to implement named entity tagging in Indonesian documents. Rule-based method is used for this research. This method uses various rules to identify words or phrase to know if that words or phrase can be classified as named entity. Named entity form obtained from the named entity tagging can be classified in six forms, there are <NAME>, <ORGANIZATION>, <LOCATION>, <CURRENCY>, <DATE>, <TIME>, and <NUMBER> to identify the name of people, organizations, places, currency, date, time, and number. In addition of using rules, dictionary is also used to identify named entity <NAME>, <ORGANIZATION>, and <LOCATION>. The evaluation is done by using 91 document samples from a total of 1.000 documents. Evaluation is based on rules and performance of the system. Evaluation based on the rule is done by comparing the result from the manual test with the result from the system test. The results of the evaluation can identify the accuracy level of the system. There are 3.599 named entities classificated from the total 3.641 named entities in 91 documents. There are 99 unclassified named entities, 87 wrong classified named entities. Entities are classified consist of 514 NAME named entities, 576 ORGANIZATION named entities, 1.376 LOCATION named entities, 117 CURRENCY named entities, 341 DATE named entities, 4 TIME named entities, and 680 NUMBER named entities. From this evaluation, it can be concluded that the more documents are analyzed, the better level of identification can be found. In the evaluation of system performance, evaluation is done by the time and the number of words, and by the time and the many of named entities. From this evaluation, it also concluded that the number of words and the many of named entities contained in the document is very influential on the time required in the process of named entity tagging.
Keyword: Information Retrieval, Question Answering, Document Preprocessing, Named Entity Tagging, Named Entity Recognition, Rule-Based

Judul: Bioelectricity Production from Citrobacter freundii GBH253 and Chlorella pyrenoidosa on Microbial Fuel Cell Anode with Different Carbon Sources
Abstrak: Microbial Fuel Cell (MFC) development has significantly increased from various aspects to get higher and more stable electricity. Developing MFC on microorganism aspect is very important because it plays a crucial role in the MFC system. C. freundii GBH253 is one of the potential exoelectrogen bacterium that could be developed for the MFC system. Integrating C. freundii GBH253 and electricity-producing microalgae, such as C. pyrenoidosa, in the anode of MFC could get more stable and higher electricity. In this study, C. freundii GBH253 and C. pyrenoidosa were coupled to produce electricity from different substrates. C. freundii GBH253 and C. pyrenoidosa were tested on three different media types before being tested on MFC. They were also examined for the co-cultivation test to determine the symbiotic relationship between the two microorganisms. The MFC test was conducted using the Randomized Block Design Factorial and the Tukey test to see significant differences from each treatment. The parameters observed in this study were voltage, power density, Chemical Oxygen Demand (COD), Coulombic Efficiency (CE), pH, and volatile fatty acid (VFA). C. freundii GBH253 cannot grow on microalgae medium, while C. pyrenoidosa could grow on bacterial medium and a mixture of bacterium and microalgae media. The bacterium gained benefit from co-culture with microalgae. In the MFC test, electricity was generated in all treatments, which bacterium + microalgae with acetate treatment could generate power density up to 211,97 mW/m2 and the most stable compared to others. Production of electricity in bacterium-microalgae combination dominated by the bacterium; hence, microalgae still help bacterium by producing electricity and raised the COD value. The pH value of all treatments was higher than the initial pH. Acetate and phenol were VFA produced in all treatments, whereas butyric acid and propionic acid were found in some treatments. Pearson correlation showed that some VFA highly correlated with power density.
Keyword: Chlorella pyrenoidosa, Substrate, Microbial Fuel Cell, Electricity Producing Microalgae, Volatile Fatty Acid, Citrobacter freundii