Articles
235 Documents
<![CDATA[Lighting System With Hybird Energy Supply For Energy Efficiency and Security Feature of the Building ]]>
<![CDATA[Renny Rakhmawati]]>;
<![CDATA[Safira Nur Hanifah]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[Recently, many buildings’ outside corridors have less lighting system at night, because their lamps mostly depend upon electrical energy from PLN (State Electrical Company). It affects the whole electrical power used. Due to this condition, we need to arrange the lamps’ light to reduce electrical power. This research is going to create an automatic lighting efficiency system which is located outside of the building’s corridor; and it uses time setting with the application of RTC (Real Time Clock) to detect human motion with motion-sensor detector (PIR). The primary aim of this research is to manage electrical energy more efficiently and to make a safety measure for the building itself. When PIR sensor detects any motion in safety-time-range that has been set before, it will send a short message to the central security system. It is supplied by hybrid system between solar cell and PLN electrical power. Though the use of the solar cell, an output voltage of 17-19 volt will be reduced through the buck converter to stabilize enough while filling 12-volt the accumulator. The output electrical voltage derived from accumulator will be converted from 12 Vdc to 12 Vac by an inverter; and then it will be increased to 220 Vac by step up voltage regulator to supply its lighting load. Otherwise, if the accumulator is not able to fulfill the supply, a microcontroller will force swith circuit to gain the lighting load another supply from PLN electrical power source. By implementing this management system, total energy within 10 hours (17.00-03.00 WIB) is 420 Wh; and it reduces the energy for 105 Wh with 25% efficiency.]]>
<![CDATA[Interviewer BOT Design to Help Student Learning English for Job Interview ]]>
<![CDATA[Muhammad Junus]]>;
<![CDATA[Muhammad Sarosa]]>;
<![CDATA[Martin Fatnuriyah]]>;
<![CDATA[Mariana Ulfah Hoesny]]>;
<![CDATA[Zamah Sari]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[To improve skills in English conversation when seeking job in employment interview session is a must to increase competitiveness among other employment seekers. Because of limited resources in our institutions that can help students learning and practice English for interview and achieve their dream work, we design a bot that has personality as an interviewer who asked the questions and then concludes the conversation and make summary of the interview result. This bot interviewer design is using a modern chatter bot named ALICE, and to replicate human intelligent to machine we use AIML. Meanwhile Naive Bayes Algorithm is used to classify the interview result into areas of potentials, talents, and interests of student, and then made a summary in the end of the interview session using a modified phrase reinforcement algorithm where we change the term frequency – inverse document frequency algorithm with Booleanterm frequency using selected keywords. This interviewerbot help student to practice their listening, speaking, know how to answer interviewer questions, and also know their potentials, talents, and area of interests.]]>
<![CDATA[Design and Development of Sight-Reading Application for Kids ]]>
<![CDATA[Christina Theodora Loman]]>;
<![CDATA[Trianggoro Wiradinata]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[The most common problem faced by kids is the difficulty to sight-read a music score. On the other side, nowadays kids love to learn by playing games in the form of mobile applications. Unfortunately, currently available mobile-based music games tend to target adults, hence not so appealing and therefore more difficult to learn. Considering the difference between every children’s ability, this application is using Fisher-Yates Shuffle algorithm for problem shuffling in each level and also the principal of decision tree for problem choosing based on the problem’s weight and children’s ability. As a solution to the problem stated above, this study is conducted by the design of “Adventure in Music Land”, an Android-based music theory education app specifically designed for kids aged 9 – 13. This application is being used to help kids improve their sight-reading ability.]]>
<![CDATA[Pembuatan Sistem E-Commerce Produk Meubel Berbasis Komponen ]]>
<![CDATA[Sandy Kosasi]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[The purpose of the research resulted in E-Commerce system that provides easiness of commercial transactions across the boundaries of cultures and countries with relatively more effective cost and serves personal interaction among users. The marketing digitization provides a number of operational advantages such as an easier tracing of data processing of ordering, inventory system and a more accurate payment that can create a good relationship between companies and customers. Methods used to analyze the market expansion are market opportunity analysis, business model design, customer interface, market communications and prototype design. The production of E-Commerce system uses a component-based extreme programming method. E-Commerce system has front-end and back-end. The management system of content specifically negates intermediaries, reduces manufacturing and shipping costs, and stores information. E-Commerce architecture focuses on the component use of CSS (Cascading Style Sheets), PHP (Personal Home Page), Javascript Framework, jQuery, CI (CodeIgniter), and empowers the MVC (Model View Controller). The functional testing was used. The software used to do a functional test is Lime. Lime technique is integrated with the Symphony framework for PHP programming language so it is an easy testing process. The web-based sales information system can significantly expand the market share through a more dynamic and interactive business process and have a clear differentiation pattern for all segments of society.]]>
<![CDATA[Crowdsourcing Web Model of Product Review and Rating Based on Consumer Behaviour Model Using Mixed Service-Oriented System Design ]]>
<![CDATA[Yuli Adam Prasetyo]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[The existence of internet drives many consumer behavior changes. Purchase online (e-commerce) is growing rapidly led to the assumption of behavioral changes prior to making a purchase. Consumer behavior models are 5 phases from needs identification, information search, alternative evaluation, purchase decision, and post-behavior. This model is phases of before and after purchase including online purchasing behavior. Product information has spread on the internet in the form of blogs, web commerce, or other. Buyer candidate need a lot of time to search product information from previous users. Therefore, we need web as a bridge that can bring together the information from experienced users and the need of product from buyer candidate. The concept of crowdsourcing is the right solution to be that bridge web.This study aimed to find the crowd sourcing model of product review and rating based on consumer behavior model. Research methods include surveys, interviews and literature studies. Results of the research is a crowd sourcing model of web of product review and rating using the concept of a mixed service oriented system.This concept is a blend of Software-Based Services (SBS) and Human-Provided Services (HPS). The design of this model can be applied in the development of web-based crowdsourcing]]>
<![CDATA[Predict of Lost Time at Traffict Lights Intersection Road Using Image Processing ]]>
<![CDATA[Yoyok Heru Prasetyo Isnomo]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[There are three lamps in traffic lights, green, red, and amber. The amber lamp is a sign for driver as preparing to move when they are stopping because the red lamp turn on, and as emptying vehicles when the phase of traffic lights turn on green, and the moment is called as lost time. Generally, the amber time is regulated manualyl and constant, but the fact that lost time is not constant. By using CCTV IP IR we can determine speed of vehicle, so we can calculate lost time in real time. The sequence of method is used in this paper to predict and determine speed of vehicle : formulation determination to convert distance on image into actual distance in unit meter; pattern recognition of vehicles, in this research using previous research; time depth determination of the first capturing traffic until the second capturing; speed calculation of each vehicles types, and average of vehicles speed; calculation of lost time. The result of the algorithm aplying show that system can predict the speed of the vehicle, by using velocity formulation the system can determine lost time in automatically.]]>
<![CDATA[Questions Classification Software based on Bloom’s Cognitive Levels using Naive Bayes Classifier Method ]]>
<![CDATA[Muhammad Fachrurrozi]]>;
<![CDATA[Lidya Irfiyani Silaban]]>;
<![CDATA[Novi Yusliani]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[Questions Classification is one way to know how the student understanding some lessons. Those questions can be collected and classified based on cognitive Bloom level. Bloom Cognitive Level organized question in groups that represents contents of those questions. Words contained in every question have certain meaning and can be used as base to determine category of question. This study aims to classify amounts of questions based on cognitive Bloom level with Naive Bayes Classifier method. According to Bloom's taxonomy of cognitive level divided into six levels of the Knowledge (C1), Comprehension (C2), Application (C3), Analysis (C4), Synthesis (C5), and Evaluation (C6). In this study, questions classified into 3 classes based on cognitive Bloom level, Knowledge (C1), Comprehension (C2), Application (C3). The amount of collective data used for training process is 240 questions. Result of this study generates accuracy of 75 % from 60 question samples tested. Susceptibility often occured because of same vocabularies from each categories, thus cause mistakes in classification.]]>
<![CDATA[Building a Spatio-Temporal Ontology for Artifacts Knowledge Management ]]>
<![CDATA[Nurul Fajrin Ariyani]]>;
<![CDATA[Daniel Oranova Siahaan]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[The knowledge that embedded in a historical artifact can have multidimensional information, such as time (temporal) and place (spatial) dimension. The temporal dimension indicates when the artifact had been used in the past, while spatial dimension points the location of people who had been using it at the time. Both of these information provide a general overview of the civilization conditions at the artifacts time. In most cases, the spatio-temporal information that attached to an artifact can be used to furnish the missing information of the other artifacts. If the museum managers are able to connect artifacts based on their spatio-temporal information, presenting artifacts historical value to visitors will be more continuous and complete. However, this kind of management needs could not be facilitated by any existing conventional database systems today. The author proposed an ontology approach for storing artifacts’ spatio-temporal information in digital form. This ontology is equipped with rules to perform reasoning thus spatio-temporal information among artifacts could be connected automatically. The result shows that the spatio-temporal ontology can be implemented in order to complete information linkage among the artifacts.]]>
<![CDATA[Decision Support on Supply Chain Management System Using Apriori Data Mining Algorithm ]]>
<![CDATA[Eka Widya Sari]]>;
<![CDATA[Ahmad Rianto]]>;
<![CDATA[Siska Diatinari Andarawarih]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[Stock availability and stock completeness is important thing for a shop. Because of that, management process for stock managing is necessary to avoid stock flooding the same product or demand less by consumer. System also help manager to selling optimization high demand product. To solve this problem, need a system that help people to make decision about what kind and how much product should be available for next specific period. Apriori algorithm used to decide relationship between one product and the others. Apriori also used to decide what kind of product is high number of selling to customer. This information is very useful to do supply chain for each product. Criteria that used for determining solution on this system are transaction minimum support, product selling combination and number of selling product. Output resulted by system is alternative solution as percentage selling product and combination of selling product in one transaction. Minimum transaction used for system test is 1000 transaction with 50 kind of product.]]>
<![CDATA[Object Recognation Based On Genetic Algorithm With Color Segmentation ]]>
<![CDATA[Evy Poerbaningtyas]]>;
<![CDATA[Zusana Eko Pudyastuti]]>
<![CDATA[ IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014 ]]>
Publisher : <![CDATA[IC-ITECHS ]]>
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<![CDATA[To be able to sort out the optimum color on an observed object is something that is very important, for example in detecting the tumor. An area which has already exposed to the tumor can be identified from the photo. Doctors typically analyze and predict the result of a photo based on their experience, but the doctors can read the photo without predicting the outcome when they use a tool that is able to distinguish color degradation. Thus, creating an artificial intelligence system can help in making a decision. A combination of generic algorithm and image processing is used to optimize color segmentation in detecting an object. In the case of color segmentation of an object, it was found that the spectrum of each color is different one to another. The color differences could be clear, unclear, or almost similar which can be used in detecting and grouping the color differences optimally.]]>
