https://ejournal.st3telkom.ac.id/index.php/infotel/issue/feed JURNAL INFOTEL 2022-04-05T01:37:21+00:00 Danny Kurnianto dannykurnianto@ittelkom-pwt.ac.id Open Journal Systems <h2>About Jurnal INFOTEL</h2> <table border="0"> <tbody> <tr> <td><img src="http://ejournal.st3telkom.ac.id/public/site/images/journaladmin/cover_infotel.png" alt="telecommunication journal" width="180" height="250"></td> <td valign="top" align="justify"> <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="https://docs.google.com/forms/d/1z8am_OQpUPdDtX93QYcSzv6J5tCd3xoAAN5TWCdNqxU/edit?usp=sharing"><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> https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/729 Using Field Experiments to Analyze Changes in Electronic Data Capture Adoption Decisions 2022-03-30T06:22:04+00:00 Irwan Susanto irwansusanto_yk@ittelkom-pwt.ac.id <p>Lacovou presented research results in a framework that describes the role of the determinants of technology, organization, and environment simultaneously influencing the innovation adoption decision-making process. The Lacovou framework is an extension study of the Tornatzky framework. Tornatzky's framework addresses three determinants that influence innovation adoption. Unfortunately, Lacovou did not present how the decision process took place. Decisions can be rational or irrational. Ajzen and several other studies defined rational decisions as decisions based on considered information or for a reason as. Previous research had not revealed empirically the rational calculation process in making innovation adoption decisions. Innovation adoption is someone's choice when he/she perceive the benefit and feel appropriate the innovation and will use or intend to use it. This study intends to reveal how the process of rational calculation in the decision-making adoption of innovations through the field experiment method. This study also reveals whether the decision of Small Medium Enterprises (SMEs) to adopt Electronic Data Capture (EDC) is rational. Research analysis using descriptive analysis method. The results show that the rational calculation process can be observed through the field experiment method. The shift in decisions represented by changes in the data on the number of subjects who make adoption decisions illustrate the rational calculation process. The results show that the decision of SMEs in adopting EDC is mostly rational. The yields of this field experiment- research was confirming Lacovou framework. The research illustrates the simulation of the effect of a combination of perceived benefits, organizational readiness, and environmental factors simultaneously</p> <p>&nbsp;</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/735 Performance of the K-Nearest Neighbors Method on Identification of Maize Plant Nutrients 2022-03-30T07:39:59+00:00 Bain Khusnul Khotimah bain@trunojoyo.ac.id <p>Maize is one kind of commodity consumption in domestic as well as export that has high economic value. However, the low productivity is caused by the main factor, namely the decreased level of soil fertility, so that it has the same effect on crop yields<strong>. </strong>These problems require the application of technology with the K-Nearest Neighbor (KNN) method. The method of study is based on 17 signs of nutrient deficiencies with Minkowski distance calculation process, calculation of deficiency of soil nutrients based on the value of K determined. The test results of the research use K = 75 to get an accuracy of 92.40. Comparative analysis of the K-nearest neighbor (K-NN) and NB methods by looking for the closeness between the criteria for new cases and old case criteria based on the criteria for the closest cases. The results showed that the K-Nearest Neighbor (K-NN) Algorithm had a better accuracy value than NB.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/706 Analysis of Greedy Perimeter Stateless Routing Protocol Network Simulation using Bird Flocking Algorithm 2022-03-30T08:07:17+00:00 Doan Perdana doanperdana@telkomuniversity.ac.id Albion Apta Zaim aaptazaim@gmail.com Alfin Hikmaturokhman alfin@ittelkom-pwt.ac.id Ananda Irsyad anandairsyad00@gmail.com Nindy Ayu Marthaliana namarthaaa@gmail.com <p>The purpose of this study is to simulate the GPSR protocol network on NS3 using the bird flocking algorithm and to analyze the comparison of performance measurements obtained from the simulation results. The Greedy Perimeter Stateless Routing network was simulated using NS-3 in this simulation. The simulation area is created in length, width. The distance between nodes is 50 meters and is simulated in an area of 1000m x 300m for 30 seconds and 802.11 MAC protocol is used. This simulation was successfully implemented in finding the location of the nearest node using the GPSR protocol with the PSO / BFA algorithm. The number of nodes used in the simulation is 150 nodes and 2 nodes, so it can be concluded that the performance of Quality of Service (QoS) is greatly affected by the number of nodes and the algorithm used in the simulation.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/748 Optimum Polarization Configuration of Planar Circular Patch MIMO Antenna 2022-03-30T08:18:50+00:00 Rina Pudji Astuti rinapudjiastuti@telkomuniversity.ac.id Eva Lucky Wijaya rinapudjiastuti@telkomuniversity.ac.id Trasma Yunita rinapudjiastuti@telkomuniversity.ac.id Harfan Hian Ryanu rinapudjiastuti@telkomuniversity.ac.id <p>Multiple Input Multiple Output (MIMO) is a key technology that plays an important role in achieving the 5G requirement due to its capability to increase channel capacity. However, the increase of channel capacity is influenced by several aspects such as mutual coupling. Many methods are done to decrease the mutual coupling effect such as polarization arrangement of the MIMO antennas. This study on the polarization arrangement of a circular patch MIMO antenna at 3.5 GHz was performed. Four elements of the MIMO antenna are arranged with several polarization configurations both in Co-Polarization and Cross-Polarization. Both simulation and measurement results showed that MIMO with Co-Polarization has a slightly wider bandwidth equal to 295.25 MHz compared to Cross-Polarization with a bandwidth of 274.63 MHz, due to better return loss performed by the former. However, from the mutual coupling perspective, it is observed that MIMO with Cross-Polarization can reduce the mutual coupling from -17.6676dB into -22.462 dB compared to Co-Polarization with the same element distance.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/740 Frequency Domain Analysis of MFCC Feature Extraction in Children’s Speech Recognition System 2022-03-30T08:34:31+00:00 Risanuri Hidayat risanuri@ugm.ac.id <p>Abstract —The 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.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/750 Decision Tree Method to Classify the Electroencephalography-based Emotion Data 2022-03-30T08:52:13+00:00 Teuku Muhammad Mirza Keumala mirza21@mhs.unsyiah.ac.id Melinda Melinda melinda@unsyiah.ac.id Syahrial Syahrial Syahrial@unsyiah.ac.id <p>Electroencephalography (EEG) data contains recordings of brain signal activity divided into several channels with different impulse responses that can be used to detect human emotions. In classifying emotions, EEG data needs to be parsed or signal processed into values ​​that can help recognize emotions. Research related to electroencephalography has been carried out previously and has experienced success using the Fuzzy C-Means, Multiple Discriminant Analysis, and Deep Neural Network methods. This study was conducted to classify human emotions from electroencephalography data on 10 participants. Each participant carried out 40 trials of testing using the Power Spectral Density (PSD) and Discrete Wavelet Transform (DWT) methods at the initial stage of classification and the Decision Tree method as the final method that can improve the accuracy of the two methods at the initial stage of classification. The results of this study were the finding of 2 participants (3 trials) who were unmatched from a total of 10 participants (400 trials), which were analyzed using the decision tree method. The decision tree method can correct this error and increase the classification result to 100%. The DWT method is used as a reference in the classification of emotions, considering that the DWT method has an output of arousal and valance values ​​. In contrast, the PSD method only has a combined output.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/736 Temperature Control System on Greenhouse Effect Gaplek Dryer 2022-03-30T09:03:38+00:00 Bandiyah Sri Aprillia bandiyah@telkomuniversity.ac.id Brahmantya Aji Pramudita bandiyah@telkomuniversity.ac.id Prisma Megantoro prisma.megantoro@ftmm.unair.ac.id <p>Gaplek is a processed product of cassava that requires a drying process to remove the water content in cassava. Solar thermal energy can be used for the drying process of gaplek by using a greenhouse effect drying system. However, the greenhouse effect drying system using solar thermal energy is very dependent on weather conditions and temperature that is difficult to control. Therefore, a temperature control system is proposed in this study by utilizing Pulse Width Modulation (PWM) to control the exhaust fan speed. Thus, the temperature can be maintained according to the drying standard of processed cassava products. In this study, a temperature control system has been successfully created that is able to maintain the temperature in the drying room according to the drying standard, namely at a temperature of 50℃ to 60℃ when tested in three different locations, namely, Sukamaju Village, Kaligunting Village, and Sumberejo Village which have shown optimal drying temperature.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/727 Development of Quadcopter for Atmospheric Data Collection 2022-03-30T11:31:45+00:00 Wayan Suparta wayan@itny.ac.id Trie Handayani wayan@itny.ac.id <p>This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P, BME280 sensors, and several modules (DS3231 Real-Time Clock (RTC),&nbsp; micro SD card, and 16×2 LCD). Our vehicle with a total weight of 1 kg can fly into space and maneuver to an altitude of more than 200 meters in an average of 10 minutes. Atmospheric conditions such as air temperature, relative humidity, air pressure, altitude, and precipitable water vapor can be measured and logged properly from drones. By this development, the system can be applied in the future to detect or measure weather extremes, air pollution, or monitoring aerial topography automatically when equipped with gas sensors and cameras, respectively.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/725 An implementation of smart agriculture for optimizing growth using sonic bloom and IoT integrated 2022-03-30T11:39:29+00:00 Mia Galina miagalina@president.ac.id Cutifa Safitri citra@gmail.com Iksan Bukhori iksan@gmail.com Arthur Silitonga arthur@gmail.com Antonius Suhartomo antonoius@gmail.com <p>This paper proposes the implementation of IoT-based agriculture monitoring with audio growth (sonic bloom) to optimize the growth of plants and harvest. Sonic bloom is a technology that combines high-frequency sound waves from living things, nature or music, and organic nutrients, which aims to make plants grow more optimally so that they can increase productivity. The method’s main advantage is implementing an innovative IoT monitoring hybrid with audio growth systems to boost the plantation growth and maximize the yield. Our experiment in 10 planters using chilies, has proven the proposed procedure. This work is backed up with literature studies of the audio growth (sonic bloom) in IoT technologies. To validate our findings, four parameters were measured through different sensors such as light sensors, temperature, humidity, and soil moisture. It was found that the proposed method can achieve significant results against the comparison in terms of plant heights and new sprouts for the harvest.</p> 2022-02-26T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/772 Front Matter 2022-04-05T01:37:05+00:00 Nur Ghaniaviyanto Ramadhan ghani@ittelkom-pwt.ac.id <p>JURNAL INFOTEL</p> 2022-04-04T00:00:00+00:00 ##submission.copyrightStatement## https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/774 Back Matter 2022-04-05T01:37:21+00:00 Nur Ghaniaviyanto Ramadhan ghani@ittelkom-pwt.ac.id <p>JURNAL INFOTEL</p> 2022-04-04T00:00:00+00:00 ##submission.copyrightStatement##