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<![CDATA[Numerical Simulation of MEMS Technology Integrated in a Small-Caliber Projectile ]]>
<![CDATA[Dede Tarwidi]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.21.73
<![CDATA[In this paper, numerical simulation of small-caliber projectile during external ballistic is presented. This work is aimed to find safe location to install microelectromechanical system (MEMS) inside a small-caliber projectile based on history and distribution of temperature. The MEMS technology is applied to increase performance of the projectile and it must be protected from damage due to high temperature during internal and external ballistic. Heat conduction equation in cylindrical domain is used to describe transient temperature of smallcaliber projectile. Finite element method with the appropriate boundary conditions is adopted to solve the heat conduction equation and to obtain temperature distribution inside projectile. Numerical results show that heat transfer behavior of the projectile at any point is greatly affected by the value of thermal conductivity of material while the external convection does not significantly affect to the heat distribution. The maximum temperatures obtained from temperature history are below threshold value of MEMS damage that is 71℃. The MEMS technology can be installed anywhere inside the projectile except at the rear surface of the projectile which experienced friction with the inner surface of gun barrel during internal ballistics.]]>
<![CDATA[Fuzzy Latent-Dynamic Conditional Neural Fields for Gesture Recognition in Video ]]>
<![CDATA[Intan Nurma Yulita]]>;
<![CDATA[Mohamad Ivan Fanany]]>;
<![CDATA[Aniati Murni Arymurthy]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.22.124
<![CDATA[With the explosion of data on the internet led to the presence of the big data era, so it requires data processing in order to get the useful information. One of the challenges is the gesture recognition the video processing. Therefore, this study proposes Latent-Dynamic Conditional Neural Fields and compares with the other family members of Conditional Random Fields. To improve the accuracy, these methods are combined by using Fuzzy Clustering. From the result, it can be concluded that the performance of Latent-Dynamic Conditional Neural Fields are lower than Conditional Neural Fields but higher than the Conditional Random Fields and Latent-Dynamic Conditional Random Fields. Also, the combination of Latent-Dynamic Conditional Neural Fields and Fuzzy C-Means Clustering has the highest. This evaluation is tested in a temporal dataset of gesture phase segmentation.]]>
<![CDATA[Recommendation of Information Architecture Design on Higher Education Institution Website Using Card Sorting Approach on Goal-Directed Design Method ]]>
<![CDATA[Mira Kania Sabariah]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.21.79
<![CDATA[From the beginning of its discovery, website has been improving its function, one of which is as publication media. Also in the world of education, most of higher education institution employ the website to publish their school and to offer related information to their user. However, many disputes come to the user when using the website due to lack of both usability standard and information architecture design. Thus, this research focuses on a standard of information architecture design which is user-oriented to improve 5 aspects of website usability of the institution. Card sorting is used to arrange the information architecture in line with user expectation while goal-directed design functions to design user interface based on user’s goal. The conducted test is Usability Test which has formerly been undertaken on the research. The usability value of students and their parents who use higher education institution website designed by Card Sorting Method can be improved to 71.2% which is higher than the average standard. That is means, user involvement in defining the information architecture is very important for website usability can be achieved.]]>
<![CDATA[Upwelling Solution Prototype Using Wireless Sensor Network ]]>
<![CDATA[Novian Anggis Suwastika]]>;
<![CDATA[Sidik Prabowo]]>;
<![CDATA[Bayu Erfianto]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.22.128
<![CDATA[One of the problems in the freshwater fisheries sector is the phenomenon of upwelling can occur anytime without warning signs, especially in lakes and lake. This problem causes a failed harvest and fish farming business owners suffered a great loss due to the death of fish in large numbers. Upwelling caused by toxic substances results increased nitrification from fish feces and remaining fish feed deposited at the bottom of the Lake and rises to the surface quickly. Ammonia (NH3) in the form of ionized causing no fish that are on the surface of the Lake is not enough oxygen to meet the needs of hemoglobin, so cannot bind oxygen or lack of dissolved oxygen (DO). The condition causes the death of the fish very much. This research built a monitoring system to monitor the condition of the temperature at the surface and at the underwater of the lake and to monitor DO levels to check the possibility of upwelling. Temperature sensor and DO sensor connect with microcontroller and . The results of experiment system on the area fish farms (karamba) and not the area fish farms, obtained the test results are accurate and real time.]]>
<![CDATA[Levenberg-Marquardt Neural Network for Eye States Detection Based on Electroencephalography Data ]]>
<![CDATA[Untari Novia Wisesty]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.21.72
<![CDATA[The eye state detection is one of various task toward Brain Computer Interface system. The eye state can be read in brain signals. In this paper use EEG Eye State dataset (Rosler, 2013) from UCI Machine Learning Repository Database. Dataset is consisting of continuous 14 EEG measurements in 117 seconds. The eye states were marked as “1†or “0â€. “1†indicates the eye-closed and “0†the eye-open state. The proposed schemes use Multi Layer Neural Network with Levenberg Marquardt optimization learning algorithm, as classification method.  Levenberg Marquardt method used to optimize the learning algorithm of neural network, because the standard algorithm has a weak convergence rate. It is need many iterations to have minimum error. Based on the analysis towards the experiment on the EEG dataset, it can be concluded that the proposed scheme can be implemented to detect the Eye State. The best accuracy gained from combination variable sigmoid function, data normalization and number of neurons are 31 (95.71%) for one hidden layer, and 98.912% for two hidden layers with number of neurons are 39 and 47 neurons and linear function.]]>
<![CDATA[Conversational Recommender System with Explanation Facility Using Semantic Reasoning ]]>
<![CDATA[Nur Rahmawati]]>;
<![CDATA[zk abdurahman baizal]]>;
<![CDATA[Mahmud Imrona]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2016.21.64
<![CDATA[Conversational recommender system is system that provides dialogue as user guide to obtain information from the user, in order to obtain preference for products needed. This research implements conversational recommender system with knowledge-based in the smartphone domain with an explanation facility. The recommended products are obtained based on the functional requirements of the user. Therefore, this study use ontology model as a knowledge to be more flexible in finding products that is suitable with the functional requirements of the user that is by tracing a series of semantic based on relationships in order to obtain the user model. By exploiting the relationship between instances of user models, the explanation facility generated can be more natural. Our filtering method uses semantic reasoning with inference method to avoid overspecialization. The evaluation show that the performance of our recommender system with explanation facilities is more efficient than the recommendation system without explanation facility, that can be seen from the number of iterations. We also notice that our system has accuracy of 84%.]]>
<![CDATA[Weather Forecasting in Bandung Regency based on FP-Growth Algorithm ]]>
<![CDATA[Farida Nur Khasanah]]>;
<![CDATA[Fhira Nhita]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 4 No. 2 (2018): December 2018 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2018.42.203
<![CDATA[Weather change is one of the things that can affect people around the world in doing activities, including in Indonesia. The area of Indonesia, especially in Bandung regency has a high intensity of rainfall, compared with other regions. The people of Bandung Regency mostly have livelihoods in the fields of industry and agriculture, both of which are closely related to the effects of weather. Weather prediction is used for reference, so the future of society can prepare all possible weather before the move. One method of data mining used to predict weather is the association rule method. In this method there is Frequent Pattern Growth (FP-Growth) algorithm, this algorithm is used to determine the pattern of linkage between attribute weather with rainfall. The result of the FP-Growth algorithm is an association rule, the result of the algorithm rules is then used as reference for data entry in the classification process, where the process is done to get the forecast based on the rainfall category to obtain maximum accuracy. The highest performance result of FP-Growth from the result of rules based on its confidence value is 92%.]]>
<![CDATA[Price Prediction of Chili Commodities in Bandung Regency Using Bayesian Network ]]>
<![CDATA[Putri Nuvaisiyah]]>;
<![CDATA[Fhira Nhita]]>;
<![CDATA[Deni Saepudin]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 4 No. 2 (2018): December 2018 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2018.42.204
<![CDATA[Chili is one of the agricultural commodities consumed by Indonesian people. Market data in recent years show that chili prices tend to fluctuate as supply and demand changes. One of the impacts of chili price changes for farmers is the production cost is higher than the selling price. In addition to supply and demand changes, the weather is also indicated as a factor of price changes due to the weather being considered by farmers to grow chili. Price prediction is needed to determine the condition of chili prices in the future to help farmers in making decisions to plant at the right time. One method that can be used to make prediction is Data Mining classification method. In this paper, Bayesian network algorithm was used as Data Mining classification method to predict the price of chili commodity in Bandung Regency based on weather information and classified the price into economic class and not economic class. The result shows that the prediction model obtained by the Bayesian Network gives a system’s performance for precision and recall that is 1 and 0.94 respectively with average accuracy of 85.5% in classifying the price.]]>
<![CDATA[Increasing Feature Selection Accuracy through Recursive Method in Intrusion Detection System ]]>
<![CDATA[Andreas Jonathan Silaban]]>;
<![CDATA[Satria Mandala]]>;
<![CDATA[Erwid Mustofa Jadied]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 4 No. 2 (2018): December 2018 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2018.42.216
<![CDATA[Artificial intelligence semi supervised-based network intrusion detection system detects and identifies various types of attacks on network data using several steps, such as: data preprocessing, feature extraction, and classification. In this detection, the feature extraction is used for identifying features of attacks from the data; meanwhile the classification is applied for determining the type of attacks. Increasing the network data directly causes slow response time and low accuracy of the IDS. This research studies the implementation of wrapped-based and several classification algorithms to shorten the time of detection and increase accuracy. The wrapper is expected to select the best features of attacks in order to shorten the detection time while increasing the accuracy of detection. In line with this goal, this research also studies the effect of parameters used in the classification algorithms of the IDS. The experiment results show that wrapper is 81.275%. The result is higher than the method without wrapping which is 46.027%.]]>
<![CDATA[Wind Wave Prediction by using Autoregressive Integrated Moving Average model : Case Study in Jakarta Bay ]]>
<![CDATA[Didit Adytia]]>;
<![CDATA[Alif Rizal Yonanta]]>;
<![CDATA[Nugrahinggil Subasita]]>
<![CDATA[ International Journal on Information and Communication Technology (IJoICT) Vol. 4 No. 2 (2018): December 2018 ]]>
Publisher : <![CDATA[School of Computing, Telkom University ]]>
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DOI: 10.21108/IJOICT.2018.42.300
<![CDATA[Prediction of wind wave is highly needed to support safe navigation, especially for ship. Besides that, loading and unloading activities in a harbour, as well as for design purpose of coastal and offshore structures, data of prediction of wave height are needed. Based on its nature, the wind wave has random behaviour that is highly depending on behaviour of wind as the main driving force. In this paper, we propose a prediction method for wind wave by using Autoregressive Integrated Moving Average or ARIMA. To obtain historical data of wind wave, we perform wave simulation by using a phase-averaged wave model SWAN (Simulating Wave Near Shore). From the simulation, time series of wind wave is obtained. The prediction of wind wave is performed to calculate forecast of 24 hours ahead. Here, we perform wind wave prediction in a location in Jakarta Bay, Indonesia. We perform several combination of ARIMA model to obtain best fit model for wind wave prediction in the location in Jakarta Bay. Results of prediction show that ARIMA model give an accurate prediction especially for short term prediction.]]>
