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INDONESIA
PROCEEDING IC-ITECHS 2014
Published by Sekolah Tinggi Informatika dan Komputer Indonesia Malang
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education
Arjuna Subject : -
Articles 235 Documents
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Questions Classification Software based on Bloom’s Cognitive Levels using Naive Bayes Classifier Method Novi Yusliani, M. Fachrurrozi, Lidya Irfiyani Silaban,
PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014
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Abstract

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 Blooms 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.
News Sentiment Analysis Using Naive Bayes And Adaboost Daniati, Erna
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Abstract

Most of the data that exists today is in the form of digital data. If we sell shares or writea book even sell products online, it always involves an electronic devices. Since the paper transactions is occurred in digital form, a lot of data are available to be analyzed. One of data or information in digital form is information about the news. Information provided by the news providers website contains a variety of things such as economics, politics, sports, and the others. The news has a variety of interesting patterns to be analyzed. The pattern can be used to predict the sentiment which contained in a few words, phrases, or sentences from a paragraph of news. This research discusses about sentiment analysis to the word or phrase which is used as test data to produce several classes such as positive, negative, and neutral sentiment. The method that used to weighting is using TFIDF word, then labeling of sentences is using sign numbers multiplication. Next, training and testing are using Naive Bayes method with a combination of AdaBoost.
Implementation of Accurate Accounting Information Systems To Mid-Scale Wholesale Company Adi Suryaputra P., Aloysius A. P. Putra ,
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Abstract

Company with medium scale has a problem in the recording business processes andfinancial reporting. With the increasing number of their transactions, it is not possible if it should always be handled manually. The purpose of this research is to determine the method of ACCURATE accounting information system implementation at mid-scale wholesale companies and to analyze the factors that influence the decision of a mid-scale wholesale company adopts accounting information systems for their business process. The method used in this research is by conduct a literature study and apply the method of implementation on the three mid-scale wholesale company. The authors formulate a right method of ACCURATE accounting information system implementation applied to mid-scale wholesale company, which through the process of needs analysis, setup database, and training. The authors also analyze and find the factors that influence a mid-scale wholesale companys decision to adopt an accounting information systems in the company, which is the background of the owner of the company, in addition to other factors such as price, time, and the scale and complexity of an accounting information system.
Software Requirements Specification Of Database Roads And Bridges In East Java Province Based On Geographic Information System Dwanoko, Yoyok Seby
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Abstract

Database of Road  and  Bridge-based  Geographic  Information  System  (DJJ-SIG) isresented in this paper is a system designed to manage data and information across the roads and bridges in East Java that is used by the government as the information society. In essence, DJJ-SIG allows users who have access rights to view, add, edit and delete data roads and bridges that can be managed online dynamic web based. DJJ-SIG to manage the data that consists  of  identifying  track  roads,  general  data,  the data  segment    and  the data  bridge traversed every road. This paper presents a software requirement  Specification which is based on the needs of users are involved in the system with a case  study in Dinas Bina Marga East Java.
Active Noise Cancellation for Underwater Environment Using Raspberry Pi Hari Wahjuningrat S, R. Henggar B., Nanang Syahroni, Widya Andi P. ,
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Abstract

Noise can interfere activities both on land and in the underwater environment. In thispaper we propose a noise cancellation system using ANC (Active Noise Control) techniques to reduce acoustic noise signal using Raspberry Pi, to receive an amplitude and phase of the noise signal, calculate each sampled signal using normalised least means square (NLMS), and finally it will produce a replica of the transmitled noise by shifting the phase noise at 180°, through the speaker in real-time environment so that the signal noise can be reduced and decrease. The system is designed using Matlab and Simulink, the model is compiled   for Raspberry Pi board as the hardware target. Raspberry Pi is a small computer so it make a system more efficient. The experimentation results shows that ANC can work in an optimal mode in delay=5 and filter length=64 and can reduce noise level until 0,894 dB in underwater environment and maximal reduction level in 2 Khz frequency. The system can influence in around the system and reduce the signal level about 1,97 dB in 10 cm depth, and 1,02 dB in 40 cm depth.
Pengolahan Data Indeks Kepuasan Masyarakat (Ikm) Pada Balai Besar Pengembangan Budidaya Air Tawar (Bbpbat) Sukabumi Dengan Metode Weight Average Index (Wai) Yanti Nurkhalifah, Iwan Rizal Setiawan ,
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Abstract

Community satisfaction index use as a benchmark to assess the level of quality ofservice in the form of a questionnaire which must be done collectively, unified, focused, and consistent  as  a  reference  to  determine  the  level  of  performance  of  the  service  unit  of government agencies in order to achieve the expected quality. in the use of data processing application  CSI  is  still  use  evenly,  one  of  them  in  the  center  freshwater  aquaculture development ( CFAD ) Sukabumi, the application is still not use, the data of the respondents and the data is still conventional CSI. so that by the time the data were collected may appear many errors such as data loss, tucked, or a mistake when entering values. so that the resulting information about agency services to the community are not appropriate. to produce an appropriate and accurate information is required CSI questionnaire data processing application, which use in the data collection phase of the respondents and the CSI data is easily and accurately. the questionnaire data processing can perform processing CSI although the data is still not reached the maximum number specified. the amount of data that has been processed will be displayed on the information in the form of percentage and value of the level of quality of service agencies.
DESIGN AND DEVELOPMENT OF SIGHT-READING APPLICATION FOR KIDS Trianggoro Wiradinata, Christina Theodora Loman ,
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Abstract

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.
Optical Character Recognition for Indonesian Electronic Id-Card Image Widodo, Sugeng
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Abstract

The need for data from the e-ID card is important, especially as a complement to otherinformation on a computer application system. To retrieve the data from Indonesian ID card to be inserted into the computer application system, it can be done by taking images using such a camera or a scanner, because there is no tool that can be used to retrieve digital data stored on the card. In this way, the image is stored, and can not be used to perform further processing such as data search. OCR is used to convert image data into text, and then the text will be mapped into the database. Image pre-processing done by bileveling, RLSA, and then perform image recognition using template matching.
Interviewer BOT Design to Help Student Learning English for Job Interview Zamah Sari, M. Junus, M. Sarosa, Martin Fatnuriyah, Mariana Ulfah Hoesny,
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Abstract

To improve skills in English conversation when seeking job in employment interviewsession 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.
Developing Computer-based Educational Game to support Cooperative Learning Strategy Handriyantini, Eva
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Abstract

Game is one of learning media which can be used as a part of learning strategy inschool nowadays. Learning strategy using game can be more effective for students especially for developing mathematical skills of primary school students. Educational game development can use Waterfalls model, where development phases can be adjusted to be in accordance with the development needs of educational games. Educational games have teaching material therefore they can be used to support learning strategy in classroom.

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