221 articles
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Dwi Januarita, Fauzan Romadlon
Published: 24 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.349

Abstract:Websites for educational institutions is a form of information services that can be accessed online. One of the information services in educational institutions is library information system. This research focused on Institut Teknologi Telkom Purwokerto as s object of library information system implementation (dlibrary). Corresponding with library strategy to become â??user friendlyâ?, library of Institut Teknologi Telkom Purwokerto has provided information that follows user requirements and understanding. The one of user satisfaction for accessing the â??dlibraryâ? is the provided quality information system. This research uses Webqual Method. Webqual method is a method for measuring the quality of information from a web. This research is done by taking the perspective of the users about the information quality of the website. Data are used 95% significance level and the result on the dimensions of information quality (usability quality, information quality, and service interaction quality) has significant influence toward user satisfaction. It indicates that the content of the â??dlibraryâ? information are accurate, complete, understandable, relevant and present information in accordance with the needs of the user
Andrita Ceriana Eska
Published: 24 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.353

Abstract:This paper focused at communication system with multipath effects at building environment. The frequency that used for the communication system was 47 GHz. That frequency possibly used for higher bandwidth at communication system. The condition of communication propagation that used was downlink direction. Mobile station placed at track or street with buildings environment condition. This research analysis was based on transmitter power variation, bandwidth variation, and modulation threshold variation. That analysis produced signal to noise ratio value that was obtained from bandwidth variation and transmitter power variation. The transmitter power variation that used was consists of 0.01 Watt, 0.1 Watt, and 1 Watt. Threshold variations for communication modulation that used was consist of 16 QAM and 64 QAM. As the result such as bandwidth variation showed widened of bandwidth then more decreasing of signal to noise ration value, and more increasing of transmitter power then also more increase of signal to noise ratio value
Achmad Rizal Danisya, Rendy Munadi, Sofia Naning Hertiana
Published: 1 February 2018
JURNAL INFOTEL, Volume 10, pp 1-6; doi:10.20895/infotel.v10i1.350

Abstract:The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.
Andika Elok Amalia, Gregorius Airlangga, Afandi Nur Aziz Thohari
Published: 1 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.344

Abstract:Utilization of image processing technology is now widely used in the health of one of them to help radiologist to analyze MRI (Magnetic Resonance Imaging), CT Scan and Mammography. Image segmentation is a process intended to get the objects contained in the image by dividing the image into several areas that have similarity attributes on an object with the aim of facilitating the analysis process. The amount of data available from each patient is increasing and the larger the image size is a new challenge to keep the process accurate but can run fast. Research on the segmentation of medical images have been done but still few that combine with parallel computing. In this research, the implementation of K-Means clustering on the image of mammography result using two way computation that is serial and parallel. The results show that parallel computing gives average performance execution time faster up to twice.
Binarti Fauziah Fitriani, Heroe Wijanto, Agus Dwi Prasetyo
Published: 1 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.333

Abstract:SAR (Synthetic Aperture Radar) is a remote sensing system using radar for high resolution image capture. The use of different frequency bands on SAR, will result different effect of image. The higher frequency used, the higher resolution of resulting image. The lower frequency used, the higher penetration ability. Therefore, using dual band antenna on the SAR system can improve the data collection and information of the target, also reduce its size. This study designs dual band antennas at 1.27 GHz (L-Band) and 3 GHz (S-Band) frequencies. To obtain the characteristics, the antenna is designed by slotted patch technique and using proximity coupled feeding. As a result, by using dielectric FR4 Epoxy with relative permittivity 4,6, the antenna working at frequency 1.27 GHz with return loss -25.131 dB, VSWR 1.1201, and bandwidth (return loss ? -10 dB) 19.9 MHz. While at 3 GHz work frequency return ross is -16.802 dB, VSWR 1.3381, and bandwidth (return loss ? -10 dB) 125.3 MHz.
Rifki Amiruddin, Budi Syihabuddin, Yuyu Wahyu
Published: 1 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.331

Abstract:The power amplifier which is designed by using BJT (Bipolar Junction Transistor) has a larger power consumption, hence in this research, the FET GaAs p-HEMT MMG15241H is used. The power amplifier designed in this research uses microstrip-based and works at the middle frequency of 1.27 GHz. This research yielded a power amplifier which works at the bandwidth with a range frequency of 1.265 – 1.275 GHz, a gain result of 20.02 dB, and input return loss result of -24.45 dB.
Rima Dias Ramadhani, Agus Priyanto, Muhammad Fajar Sidiq
Published: 1 February 2018
JURNAL INFOTEL, Volume 10; doi:10.20895/infotel.v10i1.343

Abstract:Clustering is a technique used to classify data into clusters based on their similarities. K-means is a clustering algorithm method that classifies the objects based on their closest distance to the cluster center to the groups that have most similarities among the members. In addition, K-means is also the most widely used clustering algorithm due to its ease of implementation. However, the pro cess of selecting the centroid on Kmeans still randomly. This results K-means is often trapped in local minimum conditions. Genetic algorithm is used in this research as a metaheuristic method where the algorithm can support K-means in reaching global optimum function. Besides, the stratified sampling is also used in this research, where the sampling functions by dividing the population into homogeneous areas using stratification variables. The validation value of the proposed method with iris dataset is 0.417, while the K-means is only 0.662.
Betha Nurina Sari, Hendi Permana, Kardo Trihandoko, Asep Jamaludin, Yuyun Umaidah
Published: 30 November 2017
JURNAL INFOTEL, Volume 9; doi:10.20895/infotel.v9i4.336

Abstract:This research is aimed to build a model for predicting rice productivity level in Karawang district. The prediction using Bayesian Networks allowed three stages, pre-processing of data, implementation and evaluation stages. Pre-processing is transformation of numerical data into nominal data by using two scenarios, using threshold mean and discretization. Implementation stage is to apply Bayesian Networks algorithm, that is through structure learning process and parameter learning. The learning process of structures and parameters on bayesian networks using CaMML 1.41 software. Evaluation of Bayesian Networks performance in predicting rice productivity with confusion matrix, ie calculating prediction accuracy and log loss. The experiment results show the satisfactory results, the accuracy above 90%. The best model generated from pre-processing using the data discretization and 5-year training and 1-year testing data. This explain that the selection techniques of pre-processing and the technique of dividing the training data and testing the data affect the results of the performance evaluation of the structure of Bayesian Networks.
Irma Amelia Dewi, Asep Nana H, Safira Dwi Aryanti P
Published: 24 November 2017
JURNAL INFOTEL, Volume 9, pp 443-453; doi:10.20895/infotel.v9i4.330

Abstract:Strip Packing Problem (SPP) is a problem that appears in the laying of a pattern of regular or irregular objects in a container of a certain size. One of the cases in SPP is usually experienced by garment companies in mass-producing clothing. The problem that arises is how to lay the patterns of clothing on the fabric in order to obtain optimization in use of materials and to reduce excess fabric remnants. One of the methods used for this SPP problem is using A* Algorithm. Each pattern of the clothing model is calculated and measured from the smallest to the largest. Then the pattern is mapped on a cloth of a certain size. The process repeated until it reaches the specified quantity. In this research only focus of mapping to achieve the efficiency of material usage. Clothes model tested is women's clothing: long & short sleeveless shirts, long pants and long skirts. Patterns are made in the form of Scalable Vector Graphics (SVG). From the test result, the efficiency of material usage reaches 68%, it is influenced by the mapping factor from the smallest quantity to the largest iteratively so as to allow the existence of empty space between unused patterns.
Rudy Ariyanto, Cahya Rahmad, Ahmadi Yuli Ananta, Dika Rizky Yunianto
Published: 20 November 2017
JURNAL INFOTEL, Volume 9, pp 436-442; doi:10.20895/infotel.v9i4.314

Abstract:Automation of AC and lamps is done to save energy used in everyday. In the development of AC and lamps automation need to implement a device that has the maximum function with a minimal price. Raspberry Pi is a device or module with a low price that can perform wireless communication without the help of other modules. In the development of air AC and lamps automation also required a method that is able to control the flame AC and lamps. The application of the fuzzy method can be done to collect the space state information obtained from the sensor to determine the flame of the AC and the lamps automatically. Therefore, this research proposes development of AC and lamps automation using Raspberry Pi and Fuzzy. Automation of AC and lamps using Raspberry Pi which apply Fuzzy method can save energy up to 47,22% in case of AC and 57,62% for lamps lumenation.
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