JURNAL INFOTEL 2020-12-02T08:07:43+00:00 Danny Kurnianto Open Journal Systems <h2>About Jurnal INFOTEL</h2> <table border="0"> <tbody> <tr> <td><img src="" alt="telecommunication journal" width="180" height="250"></td> <td align="justify" valign="top"> <div style="background-color: #ebfeec; border: 1px solid #bae481; border-radius: 5px; text-align: justify; padding: 10px; font-family: sans-serif; font-size: 14px; margin-left: 10px;">Jurnal INFOTEL is a scientific journal published by Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) of Institut Teknologi Telkom Purwokerto, Indonesia. Jurnal INFOTEL covers the field of <strong>informatics, telecommunication, and electronics</strong>. First published in 2009 for a printed version and published online in 2012. The aims of Jurnal INFOTEL are to disseminate research results and to improve the productivity of scientific publications. Jurnal INFOTEL is published quarterly in February, May, August and November. <strong>Starting in 2018, Jurnal INFOTEL uses English as the primary language..</strong></div> </td> </tr> </tbody> </table> <h4><strong><span style="text-decoration: underline; color: #ff0000;">Call for Editors and Reviewers</span></strong></h4> <div style="text-align: justify;"> <p>We invite researchers, scientists, and practitioners to become editors or reviewers in Jurnal INFOTEL. If you are interested, please send us information about yourself, such as your full name, education and degree, affiliation, Scopus ID, orcid ID or other researcher ID, and the area of expertise. Send your biodata via the link below.</p> <p><a href=""><strong>Register for Editor and Reviewer</strong></a><br>Thank you.</p> <h4><strong>Important For Authors</strong></h4> <p>Reminder for all the authors, you are expected to submit papers that:<br> 1. are original and have not been submitted to any other publication.<br> 2. have at least 15 references with 80% of scientific Journals.<br> 3. use references published on the last 5 years.<br> 4. structured using IMRaD format.<br> 5. use template specified by Jurnal INFOTEL.<br> 6. use reference manager e.g. Mendeley or others when managing the references.<br>Thank you</p> <p>&nbsp;</p> </div> Navigating Bitcoin Panic-Selling using Linear Approach 2020-12-02T08:07:43+00:00 Agi Prasetiadi <p>COVID-19 affects significant human activity around the globe, including Bitcoin prices. The Bitcoin price is well known for its volatility, so it is not a big shocker when the panic-selling occurs during the pandemic. However, the mechanism to cope with these breakouts, especially the bearish one, is contentious. The experts give numerous advice with different conclusions in the end. It is also the same with Machine Learning. Various kernels show different results regarding how the price will move. It depends on multiple factors from the window size, how the data is being preprocessed, to the algorithm used. This paper inspects the best combination that various machine learning can offer with linear approach to navigate the price prediction based on its depth interval, window size, the distance of prediction steps until the algorithms itself. The result shows that simple machine learning can herd 99.715% profit even during the bearish breakout.</p> 2020-11-28T00:00:00+00:00 ##submission.copyrightStatement## Accuracy Analysis of K-Nearest Neighbor and Naïve Bayes Algorithm in the Diagnosis of Breast Cancer 2020-12-02T07:48:19+00:00 Irma Handayani Ikrimach Ikrimach <p>In the medical field, there are many records of disease sufferers, one of which is data on breast cancer. An extraction process to fine information in previously unknown data is known as data mining. Data mining uses pattern recognition techniques such as statistics and mathematics to find patterns from old data or cases. One of the main roles of data mining is classification. In the classification dataset, there is one objective attribute or it can be called the label attribute. This attribute will be searched from new data on the basis of other attributes in the past. The number of attributes can affect the performance of an algorithm. This results in if the classification process is inaccurate, the researcher needs to double-check at each previous stage to look for errors. The best algorithm for one data type is not necessarily good for another data type. For this reason, the K-Nearest Neighbor and Naïve Bayes algorithms will be used as a solution to this problem. The research method used was to prepare data from the breast cancer dataset, conduct training and test the data, then perform a comparative analysis. The research target is to produce the best algorithm in classifying breast cancer, so that patients with existing parameters can be predicted which ones are malignant and benign breast cancer. This pattern can be used as a diagnostic measure so that it can be detected earlier and is expected to reduce the mortality rate from breast cancer. By making comparisons, this method produces 95.79% for K-Nearest Neighbor and 93.39% for Naïve Bayes</p> 2020-11-29T00:00:00+00:00 ##submission.copyrightStatement## Evaluation of the e-Learning Utilization as a Learning System in Higher Education Institution 2020-12-02T08:05:42+00:00 Uswatun Hasanah Susilahudin Putrawangsa Syahroni Hidayat Danang Tejo Kumoro <p>This study aims to evaluate the use of technology to support teaching and learning activities. E-learning has been applied by lecturers and students to teach subject. The purpose of this evaluation is to measure the success of the use of STMIK Bumigora e-learning by using Technology Acceptance Mode (TAM) approach, which is an approach that can explain user behavior towards the use of technology. Evaluation of the use of e-learning is formulated into a model based on the TAM model, while SEM (Structural Equation Modelling) is used for data analysis. Based on the measurement analysis in this study, it was found several factors that most influenced the effectiveness of the implementation of e-learning, namely the usage tutorial for users, ICT facilities related to the Ease of accessing the internet network. While the structural analysis, it was discovered, factors attitude towards the use and perception of usefulness is strongly correlated to the actual use factors. Mean, the actual use is a real condition of the use of e-learning measured by the frequency and duration of time in the use of the technology which is influenced by the user's belief in accepting the existence of e-learning in STMIK Bumigora and user beliefs related to the benefits when using it. Therefore, attitudes toward the use and perception of usefulness are the main determining factors in measuring the frequency and duration of time of e-learning use.</p> 2020-09-27T00:00:00+00:00 ##submission.copyrightStatement## Performance Analysis of CRC-Polar Concatenated Codes 2020-12-02T07:49:07+00:00 Lydia Sari Masagus M. Ikhsan Assiddiq U.P. Syah Alam Indra Surjati <p>Polar code has been proven to obtain Shannon capacity for Binary Input Discrete Memoryless Channel (BIDMC) and its use has been proposed as the channel coding in 5G technology.&nbsp; However, its performance is limited in finite block length, compared to Turbo or LDPC codes.&nbsp; This research proposes the use of various CRC codes to complement Polar codes with finite block length and analyses the performance based on Block Error Rate (BLER) to <em>E<sub>s</sub>/N</em><sub>0</sub> (dB).&nbsp; The CRC codes used are of degrees 11 and 24, with 3 different polynomial generators for each degree. The number of bits in the information sequence is 32. The list sizes used are 1, 2, 4, and 8. Simulation results show that the concatenation of CRC and Polar codes will yield good BLER vs E<sub>s</sub>/N<sub>0 </sub>performance for short blocks of codeword, with rates 32/864 and 54/864.&nbsp; Concatenating CRC codes with Polar codes will yield a BLER performance of 10<sup>-2</sup> with E<sub>s</sub>/N<sub>0</sub> values of -9.1 to -7.5&nbsp; dB when CRC codes of degree 11 is used, depending on the SC list used. The use of CRC codes of degree 24 enables a BLER performance of 10<sup>-2</sup> with E<sub>s</sub>/N<sub>0</sub> values of -7 to -6 dB when the SC list used is 1 or 2.&nbsp; The use of CRC codes of degree 24 combined with SC list with sizes 4 or 8 will improve the BLER performance to 10<sup>-2</sup> with E<sub>s</sub>/N<sub>0</sub> values of -8 to -7.5 dB</p> 2020-09-27T00:00:00+00:00 ##submission.copyrightStatement## Doppler Shift Effect at The Communication Systems with 10 GHz around Building 2020-12-02T08:03:39+00:00 Andrita Ceriana Eska <p>This research described about Doppler shift effect for the communication systems. The mobile station moved with variation velocity around the buildings environment. That mobile station was influenced with Doppler shift at the communication systems. The frequency communication was used 10 GHz. The utilization for that frequency was influenced by the atmospheric attenuation. This research was analysis consist of propagation with LOS and NLOS condition, mobile station velocity variation, height buildings variation, and transmitter power variation. The result from this research was described frequency maximum at Doppler shift, coherence time, and signal to noise ratio. More increase Doppler shift of coherence time caused signal noise ratio to be decrease.</p> 2020-11-25T00:00:00+00:00 ##submission.copyrightStatement## Design and Implementation of Boost Voltage Doubler for Maximum Power Point Tracker Application Using STM32F1038CT 2020-12-02T07:49:35+00:00 Laras Triefena Leonardus H. Pratomo Slamet Riyadi F. Budi Setiawan <p>Photovoltaic is an absolute device in solar power plan system. To obtaine maximum power of photovoltaic, a DC-DC converter with maximum power point tracker (MPPT) algorithm is required. In general, solar power plant application used two-stage converter : the first stage is boost DC-DC converter and the second stage is multilevel inverter. In fact, boost DC-DC converter is usually implemented singly which causes many boost DC-DC converters to be implemented in solar power plant application. Voltage doubler type boost DC-DC converter proposed in this paper is to simplify the circuit so that there is only one converter in solar power plant application. The principle of this converter is a combination of two conventional boost converter which are integrated into one, so that the power circuit and control circuit form become simpler. This proposal is verified through computation simulation and hardware design using the STM32F1038CT microcontroller for the final verification. The&nbsp; efficiency algorithm of the simulation is&nbsp; 99.7% and hardware experimental is 85.65%.</p> 2020-11-25T00:00:00+00:00 ##submission.copyrightStatement##