Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan <table style="height: 707px;" width="750"> <tbody> <tr> <td align="top"> <p>&nbsp; <img src="/public/site/images/janautama/cover_web.png" width="417" height="567"><br>&nbsp;&nbsp;&nbsp;</p> </td> <td style="width: 12px;">&nbsp;</td> <td align="top"> <p><strong><small><strong>Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan mempublikasikan makalah-makalah hasil penelitian, studi kepustakaan maupun tulisan ilmiah yang terkait dengan bidang telekomunikasi, kendali atau elektronika terapan yang ditulis dengan kaidah-kaidah penulisan ilmiah yang baik dan benar. Terbit dua kali dalam setahun</strong></small><small>.</small></strong><em><strong>&nbsp;</strong></em></p> <p><small>Specific topics of interest include (but are not confined to):</small></p> <ul> <li class="show"><small><em>Sistem dan Elektronika (Signal, System and Electronics)</em></small></li> <li class="show"><small><em>Pengolahan Isyarat Digital (Digital Signal Processing)</em></small></li> <li class="show"><small><em>Sistem Robotika (Robotic Systems) (I'lam)</em></small></li> <li class="show"><small><em>Pengolahan Citra (Image Processing) </em></small></li> <li class="show"><small><em>Instrumentasi Biomedis (Biomedical Instrumentation) </em></small></li> <li class="show"><small><em>Mikro elektronika (Micro Electronics) </em></small></li> <li class="show"><small><em>Embedded Systems </em></small></li> </ul> </td> </tr> </tbody> </table> <p>&nbsp;</p> <p><small>Any submitted paper will be reviewed by reviewers. Review process employs double-blind review that the reviewer does not know the identity of the author, and the author does not know the identity of the reviewers.</small></p> <p><strong>Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan </strong>indexed by:</p> <p><strong><a title="google scholar" href=";as_sdt=0%2C5&amp;q=TElekontran&amp;btnG=" target="_blank" rel="noopener"><img src="/public/site/images/janautama/googlescholar13.png"></a><a title="Sinta" href="" target="_blank" rel="noopener"><img src="/public/site/images/janautama/Sinta1.png"></a><a title="garuda" href="" target="_blank" rel="noopener"><img src="/public/site/images/janautama/Garuda2.png"></a><a title="crossref" href="" target="_blank" rel="noopener"><img src="/public/site/images/janautama/crossref.png"></a><a title="DIMENSIONS" href="" target="_blank" rel="noopener"><img src="/public/site/images/janautama/Dimensions2.png"></a></strong><a title="SIS" href="" target="_blank" rel="noopener"><img src="/public/site/images/janautama/IndexSIS1.png"></a></p> en-US <p><img src="/public/site/images/janautama/CC_BY_SA1.png"><br>&nbsp;This work is licensed under a <a style="text-decoration: none;" href="" target="_blank" rel="noopener">Creative Commons Attribution-ShareAlike 4.0 International license</a>.</p> (Jana Utama) (Jana Utama) Sat, 10 Apr 2021 12:09:20 +0700 OJS 60 Analisa Elemen Multiarms Resonator Open Loop Pada Band-Pass Filter Mikrostrip Yang Bekerja Di Frekuensi EHF <p><em>The use of bandpass filters is commonly used but the use of specifications varies depending on needs, in this case the microstrip bandpass filter is expected to observe the multiarms characteristics of the open loop resonator on the performance of the bandpass filter for EHF frequencies. The design of this microstrip bandpass filter uses a multiarms open loop resonator design where at the beginning of the simulation stage uses only 1 arm with patch width, arm spacing, feeder line width and patch length based on trial and error. The final simulation results are obtained with a connector distance of 2 mm and a distance of 1 mm between arms with a value of S11 = -13.8 dB and S21 = -2.8 dB at a frequency of 30.8 GHz based on the simulation results. The filter has been successfully fabricated but cannot be measured because the frequency is too high and the measuring instrument cannot measure the frequency</em></p> M. Reza Hidayat, Difa Dwi Juliantara Sukmawan ##submission.copyrightStatement## Sun, 28 Feb 2021 00:00:00 +0700 Sistem Pendeteksi Kecelakaan Kendaraan Bermotor Menggunakan Arduino Dan Smartphone Android <p><strong><em>Abstract</em></strong><em> - Many motor vehicle accidents occur in Indonesia. One of the factors causing the high number of accidents is the large number of motorized vehicle users. Accident reporting is currently still hampered by reporting. This research creates an accident reporting system that is fast and automatic to a web server. This study aims to create a system that can report accident locations. Next, the preparation of the machine condition status detection device. And the web server receives the coordinates of the crash site. This system combines an android smart phone with an Arduino microcontroller. In this research, the voltage sensor is used to overcome the motor vehicle battery voltage. Machine condition data transmission status from device to android smart phone using bluetooth HC-05. Accelerometer and GPS sensors on android smartphones are used to check acceleration and location coordinates during an accident. This study uses 4 vehicle conditions while moving. Vehicle traveling normally, sudden brake, front collision and side collision. The speed limit value used in this study is 19.04 m / s2 or 1.94 g. Based on the research results, when the vehicle is running normally there is no significant change in the value of acceleration. In a sudden brake condition, the Y axis of the acceleration sensor decreases in value until the acceleration value is negative. In the hit-front condition, the Y-axis value has increased significantly. Meanwhile, in a side hit condition, the value of the X and Y axes has increased significantly. The front and side crash conditions were tested 10 times each. Front hit conditions were identified as accidents by 80%. While the side hit condition was identified as an accident as much as 100%</em><em>.</em></p> <p><strong><em>Keywords:</em></strong><em> sensor, accelerometer, accident, GPS, Android smart phone.</em></p> <p>&nbsp;</p> Mochammad Taufiq Ardiansyah Amir, Yusrila Yeka Kerlooza ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 Logistic Area Detection System On Unmanned Aerial Vehicle For Plantation Area <p><em>Since the initial planting of oil palm in Indonesia in 1849 until 2019, the area of ​​oil palm plantations has experienced an increasing development. Indonesia is one of the largest palm oil production commodities in the world. So we need a technological innovation for monitoring a very large area in an efficient time. The technology that is suitable for monitoring and searching for logistics areas is to use unmanned aerial vehicle (uav) because searches can be carried out in the air which is not constrained by difficult ground access. The choice of fixed wing drone is better than multirotor drones due to its low power consumption and large area of ​​exploration. The focus of this research is to find a logistics area for fertilizers in plantations. The logistics area being sought is a tarp in the shape of an orange box with a size of 2x2 m. In the search mission for the logistics area, the main method used is the HSV color scale limitation. To maximize the process of observing the logistics area, a system is needed to maximize the frame computation speed in detecting the logistics area so as not to decrease the frame rate displayed. The logistics area detection test uses one HSV parameter to test the reliability of the detection system in finding a logistics area. The test was carried out in the morning at 08.00 until noon at 15.00. Based on the test results, it can be concluded that the computational speed in detecting the logistics area is 25 fps and the detection system can detect the logistics area with a brightness intensity range of 24710 lux to 41530 lux with 1 HSV parameter.</em></p> Refinda Fazar Muslim ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 The speech signal based learning system for persons with disabilities using Matlab <p><em>The purpose of this research is to create a learning system for blind people based on speech signals using Matlab software. Blind people often have difficulty operating on a computer, so an operator is needed to help operate it. For blind people it will be easier to do everything to operate a computer if there is an application that can operate in accordance with the orders of the blind person. Simulations are made using the Euclidean distance method and Mel-Frequency Cepstral Coefficients (MFCC) which will facilitate the human voice recognition system which was previously stored in the database. In this study, a software was made to help blind people for computer-based learning by designing various questions using audio so that blind people simply answer in a voice. The author uses the matlab software to make the software to be used. Then the results of the blind people are matched with the answers previously provided in the database.</em></p> nurul aisyah jafar ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 Design of Reporting System Status of Repair on Conveyor with Case Studies at PT. Pupuk Kujang <p><em>A conveyor or conveyor belt is a tool that is widely used in various industries. Generally, conveyors are used as a means of conveying industrial materials from point A to point B for processing. This research is focused on making a conveyor protection system in the industry which is useful for providing information on the location of the repair status of conveyor belts. This tool adds safety to the existing pull cord switches on the conveyor. This tool serves to provide a sign or node where the repair status occurs on the conveyor. This tool will send an emergency signal in the form of serial addressing, and the signal will be sent to the operator's computer so that the operator can find out the location of the conveyor repair. The target of this test is that this tool can be used at PT Pupuk Kujang which has 3 conveyor lines. In this study, the data transmission distance using the RS-485 can be successfully carried out with a distance of 2453m without defects, when it exceeds that distance the signal will be disabled and even the data cannot be transmitted. The average data delivery time from the 3 line conveyors is 1047.7 ms. The final result of this research is that this tool can send a repair location signal when used to handle case studies of conveyors at PT Pupuk Kujang.</em></p> Rezky Candra Nugraha, Yusrilla Yeka Kerlooza ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 Perancangan Dan Implemetasi Kalman Filter pada Sistem Estimasi Posisi Roket Elektrik <p><em>Kompetisi Muatan Roket Indonesia (KOMURINDO) is an competition organized by Indonesian National Institute of Aeronautics and Space (LAPAN). One of the categories of the competition is the Wahana Sistem Kendali, this category has the theme “The design of electric rocket with an Electric Ducted Fan (EDF) propulsion system and control system to reach target horizontally”. Inthis category each participant need to design an electric rocket using EDF propulsion system that can take off autonomously from launcher rail to reach the target 25m wide 200m away from launcher. The target coordinates is fix. Navigation system based on waypoint needed to guide electric rocket fly to the target. This paper aims is to create a position estimation system using multi GNSS receiver and Kalman Filter algorithm to increase accuracy and precission of position data. In this paper, two same GNSS receiver is used. Implementation of the position estiomation system considering its weight effect to electric rocket center of gravity and size of payload room. Position estimation system is tested in wide open area, the system is carried from start point of reference line 200 meter away from start. The reference line coordinates data is taken from google maps with distance between coordinates is 1 meter. Based on the experimental data, concluded that position estimation system increase accuracy of data by 3-30%.</em></p> Rizqi Gunawan, didit andri jatmiko ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 Metoda Convolutional Neural Network (CNN) untuk Pendeteksi Tangga pada Alat Pemandu Arah bagi Penyandang Tunanetra <p>Alat indra merupakan hal yang penting bagi kehidupan manusia. Salah satunya, yaitu mata sebagai indra penglihatan. Manusia yang memiliki keterbatasan dalam indra penglihatan dapat disebut penyandang tunanetra. Penyandang tunanetra akan mengalami kesulitan apabila harus berjalan tanpa mengetahui kondisi sekitar, termasuk ada tidaknya sebuah tangga. Alat pemandu arah bagi penyandang tunanetra ini, dapat memandu arah dan memberi informasi kepada penyandang tunanetra melalui suara. Alat ini juga dapat memberi peringatan kepada penyandang tunanetra apabila terdapat sebuah tangga. Metode yang digunakan untuk dapat mendeteksi tangga, yaitu metode <em>convolutional neural network</em> (CNN). Berdasarkan hasil pengujian yang telah dilakukan untuk mendeteksi tangga dengan menggunakan metode cnn ini, alat ini berhasil mendapatkan akurasi rata-rata sebesar 93%.</p> Nadaa Resti Fauziyya ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700 Control And Monitoring System of Humadity, Temperature, and pH in the Compost Fertilizer Decomposition Process with Fuzzy Logic Control <p><strong><em>Abstract - </em></strong><em>One way of processing organic waste is to make it compost by breaking down food scraps such as vegetables, leftover fruits, dry or wet leaves that are piled up in a composter. One of the applications of technology in the compost decomposition process is the Internet of Things (IoT) which can provide important information such as humidity levels, temperature and pH as a reference for composting success which can be monitored at any time. Maintain the critical success parameter conditions by implementing a control system built using the fuzzy logic control (FLC) method which is able to stabilize the determining parameters during the composting process. The measurement results through the YL-69 humidity sensor readings showed good results even though there was an average error of 2.95%. The reading of the ds18b20 temperature sensor is very accurate, where the error value is 0%. Meanwhile, pH sensor readings have an average error of 0.728%, meaning that these sensors can be categorized as good which have a high degree of accuracy because the average error is &lt;3%. The overall test was carried out for 30 days with varying humidity, temperature and pH levels. The compost produced with the help of a system designed to meet the Quality Standards for Compost Fertilizer has a humidity level of 50.35%, a temperature of 25 ℃ and a pH of 6.7, and has a blackish color and smells of soil.</em></p> <p><em>&nbsp;</em></p> <p><strong><em>Keywords :</em></strong><em> Organic Waste, compos fertlizer, , Fuzzy Logic Control, monitoring, Internet of things</em></p> Sandi . ##submission.copyrightStatement## Sat, 10 Apr 2021 00:00:00 +0700