Teknik Informatika

Recent neural models for response generation show good results in terms of general responses. In real conversations, however, depending on the speaker/responder, similar utterances should require different responses. In this study, we attempt to consider individual user's information in adjusting the notable sequence-to-sequence (seq2seq) model for more diverse, userspecific responses. We assume that we need user-specific features to adjust the response and we argue that some selected representative words from the users are suitable for this task. Furthermore, we prove that even for unseen or unknown users, our model can provide more diverse and interesting responses, while maintaining correlation with input utterances. Experimental results with human evaluation show that our model can generate more interesting responses than the popular seq2seqmodel and achieve higher relevance with input utterances than our baseline.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Efficacy and residual effect of Illicium verum (star anise) and Pelargonium graveolens (rose geranium) essential oil on cat fleas Ctenocephalides felis felis Eficácia e efeito residual dos óleos essenciais de Illicium verum (anis-estrelado) e Pelargonium graveolens (gerânio rosa) em pulgas de gato Ctenocephalides felis felis

To build good conversation agents, an accurate conversation context is assumed to be required. We argue that a conversation scene that includes speakers can provide more information on the context because using images as conversation contexts has proven effective. We constructed a visual conversation scene dataset (VCSD) that provided scenic images corresponding to conversations. This dataset provides a combination of (1) conversation scene image (third-person view), (2) the corresponding first utterance and its response, and (3) the corresponding speaker, respondent, and topic object. In our experiments on the response-selection task, we first examined BERT (text only) as a baseline. Although BERT managed to perform well in general conversations, where a response continued from the previous utterance, it failed to deal with cases where visual information was necessary to understand the context. Our error analysis found that conversations requiring visual contexts can be categorized into three types: visual question-answering, image-referring response, and scene understanding. To optimize the usage of conversation scene images and their focused parts, that is, speaker, respondent, and topic object, we proposed a model that received texts and multiple image features as inputs. Our model can capture this information and achieve 91% accuracy.

The main objective of this study was to investigate whether Kriging is a useful tool to estimate the spatial distribution of ground pollutants in contaminated land. The second objective of this work was a more practical one. It consists on the identification of areas that should be subjected to remedial actions and also on deciding which contaminant needs to be considered when remediation processes are taken. To achieve the described objectives, a contaminated site has been studied and the following steps have been followed: The contamination concentration limits beyond which action needs to be taken to remediate the ground contamination, in which case it is important to determine the areas that should be subjected to the appropriate remediation measures. A presentation of a case study will follow. A brief site description is given. Next, a spatial analysis of the site has been carried out. It consists essentially of: Firstly a primary process of the data which means that histograms and an unprocessed representation of the pollutant's distribution has been plotted for each contaminant. Secondly a graphic presentation of the pollution using Kriging interpolation technique is shown. Finally conclusions concerning Kriging applications are given. An assessment concerning Kriging is presented and a balance between the advantages and disadvantages of its use is discussed.

Untuk mengerti suatu bahasa, bahasa tersebut dapat dipelajari pada level-level pembelajaran yang berbeda, salah satunya adalah pada level sintaksis. Level sintaksis dalam analisa linguistik difokuskan dengan bagaiamana kumpulan kata-kata saling menyusun membentuk suatu konstruksi [1]. Teori automata yang digunakan dalam penelitian ini adalah Shift-Reduce Parsing dan pengaplikasian pohon penurunan sebagai hasil parsing dari suatu kalimat. Jenis kalimat yang diolah berupa kalimat yang hanya mengacu pada sintaks nya secara gramatikal dan hanya sebatas satu kalimat positif formal sederhana dan keluarannya berupa bentuk penurunan kalimat menggunakan pohon penurunan. Jenis bahasa yang diproses dalam penelitian ini adalah bahasa daerah Komering Rasuan. Jenis bahasa daerah yang digunakan dapat beragam selama masih memiliki sintaksis yang sama dengan kaidah Bahasa Indonesia, meskipun demikian, masih diperlukan beberapa pengembangan lebih lanjut untuk mengolah bentuk kalimat yang lebih kompleks.

A successful communication need the efficiency in delivering the information that is easier to understand for the speaker and the hearer. Sometimes people do not always directly say what they mean. There are times when people say exactly what they mean, but generally they are not totally explicit. Comedy movie is one of instruments for EFL learner to observe natural conversation which contains conversational humor. Therefore, the objective of this study focuses on the conversational humor in a family comedy movie titled ―The Wizards Return: Alex Vs. Alex‖. This research uses Paul Grice's four conversational maxims of the Cooperative Principle (CP); maxim of quantity, maxim of quality, maxim of relation, and maxim of manner as its framework. The combined list of conversational humor from Martin and Audrieth is taken as the framework as well. The findings showed that the four maxims in Cooperative Principle could still be applicable for analyzing the humor, especially maxim of manner. As for the classification of conversational humor, thirteen types of conversational humor from the classifications suggested by Martin and Audrieth were covered along the corpus of conversation but did not distributed evenly. Banter and Blunder were found as the most used humor in the object of study.

This paper would presents the path control of a dexterous robotic hand finger reaching in a given search space. The proposed system would adopt the advantages of Genetic Algorithm (GA) to optimize the system performance in terms of path control, speed and accuracy. The system would search for a valid path and optimal velocity. A new genetic operator, namely Real Coded Dynamic Multilayer Chromosome Crossover (RC_DMCC) has been introduced and incorporated in the system. The simulation results of the proposed technique are presented.

ABSTRACT This paper propose an architecture for e-learning application. High demand of e-learning systems leads to the need of development of e-learning architecture. IEEE has defined the Learning Technology Systems Architecture (LTSA) as a standard for developing architecture of learning techonolgy systems (LTS). However, LTSA is considered too general. Thus, to build e-learning architecture, refinement of LTSA has to be conducted with a comprehensive approach. Several architectural frameworks have been proposed to model software architectures. Using one of these frameworks, a more detailed architecture is expected.

Cuaca merupakan gejala alami yang sangat penting bagi kehidupan manusia salah satunya yaitu pada bidang pertanian. Sehingga cuaca dapat mempengaruhi kualitas produksi tanaman yang dipanen. Oleh sebab itu prediksi cuaca merupakan kegiatan yang akhir-akhir ini dilakukan peneliti, dikarenakan banyaknya tuntutan dari berbagai pihak yang membutuhkan informasi kondisi atmosfer yang lebih cepat, lengkap, dan akurat. Skripsi ini membahas tentang penerapan metode Al-Alaoui Backpropagation untuk memprediksi cuaca. Hasil prediksi dari sistem ini berupa kondisi cuaca yang meliputi cuaca cerah, berawan, dan hujan.

Outpatient service is one of the hospital services that starts on patient enrollment to policlinic services. Long enrollment queue even occurs. This is because of the unbalance between the number of admission staff and patients enrolled. Mifare is one of Philips' smartcard products which can save memory from 1K to 4K using its cryptography. It can also be read using Contactless NFC Reader ACR122 with a distance about 5cm. Therefore, the use of smartcard reader especially ACR122 in the hospital services will be interesting. One of the examples is the development of Anjungan Pendaftaran Mandiri (APM) in this paper. APM is a software which allows the patients to register themselves without regular enrollment. -The smartcard used in this paper is mifare 1K. APM development main purpose is to reduce the waiting time by implementing Mifare and ACR122 Contatless NFC Reader which are collaborated with C#, Java, and Oracle 10g XE using object oriented method. On the next development, APM is tested with the parameters corresponding between the functional requirements with use case diagram and the waiting time of patient enrollment. The test consists of functionality use case testing using black box adapted to the case scenario and the form of testing, tools compatibility testing and the connection to the software, and the waiting time APM enrollment. The results of the tests show that APM is able to sufficiently meet the functional requirements, tools and connection compatibility. It is also evident that APM can reduce patient waiting time for the enrollment than usual.

Outpatient service is one of the hospital services with high frequency activities. Outpatient service starts on registration until policlinic services. Some long registration queues even occurred. This is because of unbalance between the number of admission staff and patients enrolled. Mifare smartcard is one of Philips' smartcard products which can save memory until 1K using its kryptography and can be read using Contactless NFC Reader ACR122 with distance about 5cm. Therefore, the use of smartcard reader especially ACR122 in healthy will be so interested. One of the examples is development process of Anjungan Pendaftaran Mandiri (APM) on this final project. APM is software which can conduct patients to register themselves without regular registration. APM development main to reduce waiting time with implementing mifare smartcard Mifare and ACR122 Contatless NFC Reader collaborated with C#, Java, and Oracle 10g XE using object oriented method. On the next development APM was tested with parameters correspondence between functional requirements with use case and the waiting time of patient enrollment. Testing consists of functionality use case testing using blackbox adapted to use case scenario and form testing, tools compatibility testing and connection of software, and waiting time APM registration. The result testing show that APM is able to sufficient the functional requirement, tools and connection compatibility, and also can reduce waiting time of patient enrollment than usual