Jurnal Infotel (Sekolah Tinggi Teknologi Telematika Telkom Purwokerto)
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392 research outputs found
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Time complexity in rejang language stemming
Full text linkStemming is the process of separating the root word from an affixed word in a sentence by separating the base word and affixes which can consist of prefixes (prefixes), insertions (infixes), and suffixes (suffixes). Between one language and another, there are differences in the algorithm, especially the stemming process, in morphology. The time complexity of the Rejang algorithm is determined based on the affix group. To find out the time complexity of the stemming algorithm in the Rejang language using the method of making a digital word dictionary of the Rejang language, studying and analyzing the morphology of the Rejang language, making the Rejang language stemming algorithm based on the results of the Rejang language morphology analysis, analyzing the algorithm's performance and calculating the time complexity of the stemming results. The result of this research is to produce an efficient and effective Rejang Language stemming algorithm, where efficiency is indicated by the algorithm's time complexity of O(log n), and the effectiveness is shown from the results of accuracy of 99% against the test of 9000 affixed words. This accuracy value indicates that the over stemming and under stemming processes are 1%. Test results on 15 text documents with an average stemming failure rate of 1%
Power control scheme using particle swarm optimization method in resource allocation process on D2D underlaying communication
Full text linkFast growing number of cellular telecommunication technology resulting on the increasing number of the user equipment. This condition increased the eNodeB load. To overcome this problem, the device-to-device (D2D) underlaying communication is introduced. In underlaying scheme, the D2D user equipment (DUE) will do the communication process using the same radio resources with the conventional cellular user equipment (CUE). To avoid a severe interference between these two types of user in the system, a good resource allocation is needed. In this work, a power control scheme using particle swarm optimization (PSO) is proposed, to manage the transmit power on each user on the system. The power control scheme take place after the greedy scheduling algorithm, after all user is given a resource block (RB) to do the communication process. The power transmit for each user is managed to reach a better system capacity, and to reduce the power consumed in one communication process. From the simulation, the PSO power control can improve the sumrate and spectral efficiency up to 12.97% and 3.38% respectively. The PSO power control also can reduce the power consumed by the system up to 8.84%. The fairness happens among the CUEs also can be maintained, despite of the decreasing fairness among DUEs
Development of mobile billing application system for PAMDES water meter data logging
Full text linkAlong with the growth of Sindangsari's population, the water requirement in this village has increased. So, the drinking water company (PAMDES) in this village must be able to manage the available water to meet the necessities of public life. Now, the water company is still collecting and recording water meters manually. It is very risky to consider the water condition in the village because an officer can make a human error while recording the water meter's value. When the water meter recorder is damaged, the officer estimates the water meter's value. An application is needed to manage bills and record water meters to avoid this in previous studies using the Internet of Things (IoT) or mobile applications that must be sent online to the server in real-time. This solution is not suitable for the internet condition in Indonesia, which is not evenly distributed to remote villages. This study proposes to use a mobile application that can store data on mobile devices. When the internet connection is unavailable, it can be sent later when it is available again. In this study, data obtained that the condition of the meter recorder from 672 customers, 37 water meters recorder is damaged. In addition, water meter data is also obtained for the following month's bill and data on average water usage of 10,661m3 per month. With these data, it is found that the minimum water requirement is 10,661 m3 per month. It is hoped that the application for billing management and recording of PAMDES water meters in Sindangsari village, Cikoneng sub-district, Ciamis district can help increase PAMDES management capacity
Optimal planning on-grid power system for 2200VA household sector by considering economic criteria
Full text linkThis study discusses efforts to model solar grid systems by considering economic and regulatory factors in system design. The Hybrid Optimization of Multiple Electric Renewables software is used to evaluate the economic viability of the on-grid PV technology that provides 2200VA of power in the household sector. Optimal costs are assessed from Net Present Cost (NPC) which is a cost analysis to determine investment feasibility based on interest rates and fees in the coming years and Break Even Point (BEP) which is the point where expenditure and income are balanced. The simulation results show that in the project period of 25 years the installation of on grid PV power system has an NPC that is 20% lower than the PLN network power supply with a BEP value lower than 15 years. The lowest NPC and BEP values were obtained from the installation of 7 PV panels with 300Wp capacity connected to the PLN network. This system is able to save electricity costs by IDR 23,060,260 compared to the use of 100% electricity from the State Electricity Enterprise grid. This system is worthy of being an economic tool for providing electricity services throughout the year and meeting rising energy demands in the household sector
Analisis Kebutuhan dan Perancangan Antarmuka Aplikasi Kolaborasi Penelitian Menggunakan User Experience Design Process
No full textIn conducting collaborative research involving more than one researcher, a system is needed that can improve the performance of researchers in various ways. This study captures the challenges faced by researchers in collaborative research and defines the requirements for collaborative research systems needed to address these challenges. From the analysis of the needs obtained, the researchers designed a collaboration application interface. Collaboration applications are needed to facilitate communication between researchers, search for articles, share publications, and other applications. The distribution of questionnaires and interviews were conducted to obtain the requirements needed for the development of a collaboration system. This research informs system developers to support the development of collaborative systems. In this study, the level of need for a research collaboration system in the university environment will be analyzed along with an analysis of its needs and the design of the user interface.Dalam melakukan penelitian kolaborasi yang melibatkan lebih dari satu peneliti, dibutuhkan sebuah sistem yang dapat meningkatkan kinerja peneliti dalam berbagai hal. Studi ini menangkap tantangan yang dihadapi oleh peneliti dalam penelitian kolaboratif serta mendefenisikan persyaratan untuk sistem kolaborasi penelitian yang dibutuhkan untuk mengatasi tantangan tersebut. Dari analisis kebutuhan yang didapatkan, peneliti merancang antarmuka aplikasi kolaborasi. Aplikasi kolaborasi dibutuhkan untuk memudahkan komunikasi antar peneliti, pencarian artikel, berbagi publikasi, dan aplikasi lainnya. Penyebaran kuesioner dan wawancara dilakukan untuk mendapatkan persyaratan yang dibutuhkan untuk pengembangan sistem kolaborasi. Penelitian ini menginformasikan kepada pengembang sistem untuk mendukung pengembangan sistem kolaborasi. Pada penelitian ini, akan dianalisis tingkat kebutuhan sistem kolaborasi penelitian di lingkungan universitas beserta analisis kebutuhannya serta perancangan antarmuka pengguna
Human height and weight classification based on footprint using gabor wavelet and K-NN methods
Full text linkHeight and weight are parameters to identify a person, especially for a forensic. To identify height and weight is usually done manually. In addition to manually using height measuring devices and scales, you can also use information related to the foot length. There is a relationship between height and foot length can be expressed in the correlation coefficient (r) as same as for weight. Therefore, in this study, a system for measuring human height and weight based on images of the footprint is implemented on Android. The methods used in this study are Gabor Wavelet and k-Nearest Neighbor (k-NN). The simulation results generate the best accuracy of 75%. The system can also used to categorize the ideal body level according to the Body Mass Index (BMI). The system is able to process images with an average computation time of 8.92 seconds.
 
Frequency domain analysis of MFCC feature extraction in childrenโs speech recognition system
Full text linkAbstract โThe research on speech recognition systems currently focuses on the analysis of robust speech recognition systems. When the speech signals are combined with noise, the recognition system becomes distracted, struggling to identify the speech sounds. Therefore, the development of a robust speech recognition system continues to be carried out. The principle of a robust speech recognition system is to eliminate noise from the speech signals and restore the original information signals. In this paper, researchers conducted a frequency domain analysis on one stage of the Mel Frequency Cepstral Coefficients (MFCC) process, the Fast Fourier Transform (FFT), in children's speech recognition system. The FTT analysis in the feature extraction process determined the effect of frequency value characteristics utilized in the FFT output on the noise disruption. The analysis method was designed into three scenarios based on the value of the employed FFT points. The differences between scenarios were based on the number of shared FFT points. All FFT points were divided into four, three, and two parts in the first, second, and third scenarios, respectively. This study utilized children's speech data from the isolated TIDIGIT English digit corpus. As comparative data, the noise was added manually to simulate real-world conditions. The results showed that using a particular frequency portion following the scenario designed on MFCC affected the recognition system performance, which was relatively significant on the noisy speech data. The designed method in the scenario 3 (C1) version generated the highest accuracy, exceeded the accuracy of the conventional MFCC method. The average accuracy in the scenario 3 (C1) method increased by 1% more than all the tested noise types. Using various noise intensity values (SNR), the testing process indicates that scenario 3 (C1) generates a higher accuracy than conventional MFCC in all tested SNR values. It proves that the selection of specific frequency utilized in MFCC feature extraction significantly affects the recognition accuracy in a noisy speech