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Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control was published by Universitas Muhammadiyah Malang. journal is open access journal in the field of Informatics and Electrical Engineering. This journal is available for researchers who want to improve their knowledge in those particular areas and intended to spread the knowledge as the result of studies. KINETIK journal is a scientific research journal for Informatics and Electrical Engineering. It is open for anyone who desire to develop knowledge based on qualified research in any field. Submitted papers are evaluated by anonymous referees by double-blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully within 4 - 8 weeks. The research article submitted to this online journal will be peer-reviewed at least 2 (two) reviewers. The accepted research articles will be available online following the journal peer-reviewing process.
Articles by issue : Vol 3, No 2, May-2018
12
Articles
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Paragraph Selection Methods Using Feature-Based on Segment-Based Clustering Process Using Paragraphs for Identifying Topics on Indication Detection of Plagiarism System

Akbi, Denar Regata, Rosyadi, Arini Rahmawati

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

In segment-based clustering, the paragraphs selection as a dataset in the clustering process has a very important role. This is because the paragraph used as the dataset can affect the clustering result. This research uses paragraph selection using feature-based method which aims to optimize the clustering process conducted in the previous research. Based on the evaluation results using Silhouette Coefficient and Sum Square Errors evaluation methods to find the proper k value, it is found that with the utilization of Feature-based method, better results can be acquire compared to the evaluation result from the previous research.

Monitoring Fuel Oil Based Radio Frequency Identification (RFID) Client

Septiantono, Dezar, Zulfatman, Zulfatman, Priyanto, Budhi

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Original Source | Check in Google Scholar | Full PDF (473.707 KB)

Abstract

Motorcycles are a means of transportation which plays an important role in peoples lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driver‚??s identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.¬†

Integrated Information System Teaching Plan in College Using FAST Method and Twitter Bootstrap

Indra Astutik, Ika Ratna, Rosid, Mochamad Alfan

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

AbstractTeaching plan is one of the obligations that must be made by lecturer before conducting any lecture because teaching plan will be used by lecturer as a reference in determining Learning Outcomes (LO) and providing recovery materials in each semester. Unfortunately, there are still many existing teaching plans in College which are still manually developed. Thus, they may undermine head courses and Institute of Educational Development Study and Majors to perform learning monitoring and evaluation in the department.This research developes a system application which facilitates lecturer in managing teaching plan recovery and facilitates the Institute of Educational Development Study and Majors in evaluating the learning effectiveness, the suitability of the teaching journal and the achievement of Learning Outcomes. The system is developed using FAST method (Framework for the Application of System Thinking) and designed using a responsive Twitter Bootstrap template. The information generated system can also be used to support the cccreditation of Program Study. The testing process in this system uses blackbox testing to check the stability of the deployed system. The result of the test shows that all functions in the system runs perfectly, and the lecturers are more easily managing the Teaching plan, and the head of the Department can evaluate the suitability of the Teaching plan with teaching journal.

Emotion Sound Classification with Support Vector Machine Algorithm

Arifin, Chabib, Junaedi, Hartanto

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

Speech one of the biometric characteristic owned by human being, as well as fingerprint, DNA, retina of the eyes and so not the two human beings who have the same voice. Human emotion is a matter that can only be predicted through the face of a person, or from the change of facial expression but it turns out human emotions can also be detected through the spoken voice. Someone emotion are happy, angry, neutral, sad, and surprise can be detected through speech signal. The development of voice recognition system is still running at this moment. So that ini this research, the analysis of someone emotion through speech signal. Some related research about the sound aims to have process of identity recognition gender recognition, Emotion recognition based on conversation. In this research the writer does research on the emotional classification of speech two classes started from happy, angry, neutral, sad and surprise while the used algorithm in this research is SVM (Support Vector Machine) with alghoritmMFCC (Mel-frequency cepstral coefficient)for extraction where it contains filter process that adapted to human‚??s listening. The result of the implementation process of both algorithms gives accuracy level ashappy=68.54%, angry=75.24%, neutral=78.50%, sad=74.22% and surprise=68.23%.

Extraction of Eye and Mouth Features for Drowsiness Face Detection Using Neural Network

Fitrianingsih, Elis, Setyati, Endang, Zaman, Luqman

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Original Source | Check in Google Scholar | Full PDF (626.909 KB)

Abstract

Facial feature extraction is the process of searching for features of facial components such as eyes, nose, mouth and other parts of human facial features. Facial feature extraction is essential for initializing processing techniques such as face tracking, facial expression recognition or face shape recognition. Among all facial features, eye area detection is important because of the detection and localization of the eye. The location of all other facial features can be identified. This study describes automated algorithms for feature extraction of eyes and mouth. The data takes form of video, then converted into a sequence of images through frame extraction process. From the sequence of images, feature extraction is based on the morphology of the eyes and mouth using Neural Network Backpropagation method. After feature extraction of the eye and mouth is completed, the result of the feature extraction will later be used to detect a person‚??s drowsiness, being useful for other research.

Functional Requirement Design for Optimizing Tourism Promotion of DKI Jakarta based on Descriptive Research Method

Wastam, Jumail, Prasetya, Eka Budhy, Latifah, Retnani

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

This study presents data collected as sample from two places of tourism spots, TMII and MONAS. Furthermore, additional data has also been collected from public places such as campuses to support current data collection. The data is collected in order to recognize the visitors‚?? responses according to their tourism information needs in preparing their traveling activities. Descriptive research method adopted using self-designed questionnaires focusing on ‚??what‚?Ě is applied to investigate the questions which are related with the topic of the study. The results of data analysis would be referred as foundation in designing the system functionalities required to develop an application for the future development. Furthermore, more data is observed from some data resources such as Central Bureau of Statistics (BPS) of DKI Province and Global Destination Cities Index to recognize the performance of DKI Jakarta in receiving visitors within the last three years compared to other cities in some neighboring countries such as Bangkok, Kuala Lumpur and Singapore. Thirty respondents are involved in the study to identify what potential information which can be explored. The information which is related to visitors‚?? travel preparation becomes imperative to be analyzed to optimize the tourism promotion. Descriptive research method helps researchers in obtaining data on functional needs according to the current state of society, in the scope of travel activities and preparations. The system design viewed from the functional needs shows what people can do based on the results of the analysis.

Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic

Pratama, Rido Octa, Effendy, Machmud, Zulfatman, Zulfatman

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

Solar energy is energy which can be harnessed conveniently and free. However, its conversion result may not be easily obtained. Based on the previous research, solar power plant is a source of renewable energy, utilizing solar energy. Solar power plant converts solar energy into electricity using Photovoltaic (PV) or solar cells. Even though solar power plant is considered as better energy alternative, it presents problems and weaknesses. In this case, the problems are related to insufficient power generation with low power efficiency, high oscillation and very slow power tracking. Hence, in order to solve these problems, Maximum Power Point Tracking (MPPT) has been utilized. Combination method of P&O-fuzzy and IC-fuzzy is employed to its design. Moreover, combined algorithm may result better power from conventional algorithm due to appropriate performance of duty cycle according to system design, with efficiency result of 79%-85.6%, tracking in searching output power of 0,0055s - 0,008s, low oscillation and maximum power generated by combined algorithm of 1028 watt.

Comparative Analysis of Tracking Objects Using Optical Flow and Background Estimation on Silent Camera

Supriyatin, Wahyu, Ariestya, Winda Widya, Astuti, Ida

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

Tracking and object is one of the utilizations on the field of the computer vision application. Object tracking utilization as a computer vision in this study is used to identify objects which exist within a frame and calculate the number of objects passing within a frame. The utilization of computer vision in various fields of application can be used to solve the existing problems. The method used in object tracking is by comparison between optical flow estimation method with background method. The test is conducted by using a still camera for both methods by making changes to the parameter values used as a reference. The results of the tests, conducted on the three video objects by comparing the two methods show a Total Recorded Time better than those of the background estimation method, being smaller than 100 seconds. Testing both methods successfully identifies the object tracking and calculates the number of passing cars.

Front and Back Matter Volume 3 Number 2

Waskito, Adhitya Dio

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

ROI Based Post Image Quality Assessment Technique on Multiple Localized Filtering Method On Kinect HD Sensor Mobile Robot

Wardani, Kholilatul, Kurniawan, Aditya

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

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Abstract

 The ROI (Region of Interest) Image Quality Assessment is an image quality assessment model based on the SSI (Structural Similarity Index) index used in the specific image region desired to be assessed. Output assessmen value used by this image assessment model is 1 which means identical and -1 which means not identical. Assessment model of ROI Quality Assessment in this research is used to measure image quality on Kinect sensor capture result used in Mobile HD Robot after applied Multiple Localized Filtering Technique. The filter is applied to each capture sensor depth result on Kinect, with the aim to eliminate structural noise that occurs in the Kinect sensor. Assessment is done by comparing image quality before filter and after filter applied to certain region. The kinect sensor will be conditioned to capture a square black object measuring 10cm x 10cm perpendicular to a homogeneous background (white with RGB code 255,255,255). The results of kinect sensor data will be taken through EWRF 3022 by visual basic 6.0 program periodically 10 times each session with frequency 1 time per minute. The results of this trial show the same similar index (value 1: identical) in the luminance, contrast, and structural section of the edge region or edge region of the specimen. The value indicates that the Multiple Localized Filtering Technique applied to the noise generated by the Kinect sensor, based on the ROI Image Quality Assessment model has no effect on the image quality generated by the sensor.