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Jana Utama
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INDONESIA
TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan
ISSN : 23032901     EISSN : 26547384     DOI : -
Jurnal Telekontran merupakan wadah yang menampung penelitian, gagasan dan pemikiran dari para peneliti dalam bidang teknik elektro kususnya bidang telekomunikasi, kendali, dan elektronika terapan.
Arjuna Subject : -
Articles 193 Documents
Rancang Bangun Software Defined Radio (SDR) pada Frekuensi Multiband 88 MHz sampai dengan 800 MHz untuk Sistem Penerima Audio berbasis Raspberry Heroe Wijanto; Budi Herdiana; Yudha Eko Bimantoro
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.233 KB) | DOI: 10.34010/telekontran.v7i2.1749

Abstract

Abstract – Technology radio communication is currently developing, initially SDR (Software Defined Radio) is used by amateur radio to communicate , but with the presence of the SDR technology will have a major influence on technological development in the field of radio communication. SDR technology can replace several devices in a certain frequency range and mode, especially on military tactical equipment, so that it has a light weight, smaller dimensions and is reconfigurable in addition to this (multiband). In the future this technology will be very necessary to overcome various kinds of obstacles in many of these things. Because of that Software Defined Radio (SDR), problems in the technology platform can be easily other than that in terms of education its use can facilitate learning about the system general radio communication. Keywords : Software Defined Radio (SDR), reconfigurable, multiband
Perancangan Telehomecare System dengan Interface Web Meylanie Olivya; Ratna Sari
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.185 KB) | DOI: 10.34010/telekontran.v7i2.1750

Abstract

Abstract – Introduced by the Ontario Telemedicine Network, the telehomecare program provides monitoring of patient parameters and training sessions. Telehomecare is a sub-field of telehealth that influences the delivery of health services to patients who use telecommunications technology and is often accelerated with long-distance patient distance in realtime. Telehomecare offers improved access to home care at lower costs and promises unique opportunities for home care patient empowerment and improved care outcomes. The telehomecare method that is designed is that there are various sensors that are used to find out biomedical data, the data is then converted by the sensor to a certain amount and sent to the process section, after processing the data is sent to the webserver with an intermediate wifi module that was previously connected to the internet, on the webserver the measured data can be observed through the website. The main purpose of making this telehomecare system is to make health monitoring tools that can be easily accessed through the website, used in patients who have conditions must be under intensive supervision at home. Data monitored is body temperature, pulse, body position using input from temperature sensors, pulsemeter sensors and accelerometer sensors. In this tool using microcontrollers, namely Arduino Uno and Esp 8266 W-iFi module (NodeMCU) which have been programmed to send sensors input data to the web server data sent to the web server will be displayed in a website interface. The database used as a webserver on this system is Firebase, because it is a realtime database. The results obtained from this study, for reading the desired health parameters can be read, were temperature sensor readings that reached 99.29%, and pulsemeter sensor readings which reached 99.178%. Keywords : Telehomecare, Website, Arduino Uno, NodeMCU, Webserver.
Smart Greenhouse System On Paprican Plants Based On Internet of Things Sandi Pamungkas
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.955 KB) | DOI: 10.34010/telekontran.v7i2.2277

Abstract

Abstract - Greenhouse method is one of several methods that are very popular to be applied to various types of plants, especially paprika plants. In essence the conditions that must be very guarded in a greenhouse are conditions in the environment such as temperature, air humidity, soil moisture and water pH value. But it is unfortunate that the condition still cannot be monitored properly so that the plants still cannot be maximized. Therefore a smart greenhouse system was created. This smart greenhouse system is a system that later has a function to measure the parameters needed by plants, especially paprika plants such as temperature & humidity, soil moisture, water pH and watering. The purpose of this research is to design a system for monitoring the condition of a plant in a greenhouse, so that later the maintenance for future paprika plants will be more controlled when compared to plants grown outside a greenhouse. In a smart greenhouse system it uses several types of electronic components including DHT-22 sensors, capacitive soil moisture sensors, and pH sensors. The data sent by each sensor will then be sent to thingspeak which we can access anywhere from the smartphone or laptop. For the value of a good temperature for paprika plants is estimated to be 270C to 290C while for the value of good air humidity for paprika plants is in the number 70 relative humidity (RH) to 85 relative humidity (RH) while for the value of soil moisture that is good for paprika plants is in range 70 relative humidity (RH) to 85 relative humidity (RH) and for the pH value of water that is good for paprika plants is in the numbers 6 to 6.5. .Keyword : smart greenhouse, smartphone, DHT-22 sensor, soil moisture sensor, pH sensor, thingspeak, paprika plant.
Algoritma Perencanaan Jalur Kendaraan Otonom di Lingkungan Perkotaan dari Sudut Pandang Filosofi Kuhn dan Filosofi Popper Muhammad Aria
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1123.944 KB) | DOI: 10.34010/telekontran.v7i2.2627

Abstract

Autonomous vehicles can be useful to improve safety, efficiency, accessibility and convenience of transportation. One important task that must be carried out by autonomous vehicles is to do path planning through a dynamic urban environment where there are other vehicles and pedestrians. According to Kuhn's philosophy, a science has its own life cycle. The science life cycle consists of the birth phase, the proof phase and the acceptance phase of the new science into what is called normal science. Likewise with the scientific development of path planning algorithms, path planning algorithms for autonomous vehicles are still being researched and developed by various researchers. New studies continue to be conducted in an effort to find pathway planning techniques that can be generally accepted, so that the algorithm will become a normal science. According to Popper's philosophy, each proposed algorithm must be tested using the principle of falsification to determine whether the proposed technique can eventually become a normal science or not. So this paper aims to provide an overview of the scientific cycle of planning autonomous vehicle lanes. This paper also aims to compare the latest research on path planning algorithms for autonomous vehicles in urban areas. In comparing these algorithms, the principle of Popper's falsification will be used. The comparison results presented in this paper will help gain insight into the advantages and disadvantages of each algorithm, and will also help to choose the algorithm used in the design of autonomous vehicle systems. Keywords ­: Autonomous vehicles, path planning algorithms, urban environment, Khun’s scientific cycles, Popper’s falsification
Algoritma Ant Colony Optimization untuk Optimasi Penjadwalan Mata Kuliah Meiton Boru
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.677 KB) | DOI: 10.34010/telekontran.v7i2.2632

Abstract

The purpose of this study is to optimize the the lecturing schedule using the Ant Colony Optimization (ACO) algorithm. The method developed will find an optimal solution of lecturing schedule where there are some limitations that must be considered. These limitations include being a lecturer or a class that can only be scheduled to lecture a maximum of two times in a row. Another limitation is that two adjacent level may not be scheduled at the same time, because there is a possibility that students will repeat a lecture. The third limitation is that there should be no lecturers or classes that conduct lectures with too high a frequency one day. And the fourth limitation is the alternative time where lecturers can teach will be limited due to other activities that must be carried out by the lecturer. So that the course scheduling case can be solved using the ACO algorithm, a graph is made where each node is the name of the course that must be scheduled. The path created by the ants from the initial node to the end node will contain the order of courses that must be carried out one week. Based on the test results, the ACO algorithm has succeeded in scheduling courses involving 38 subjects, 4 class forces, 6 recovery locations and 12 lecturers supporting the courses. The scheduling solution obtained has a fitness value of 0.0092. Where there are no lecturers who have a high teaching frequency one day, but there are 12 class schedules that cause a class to follow a high frequency of lectures. And there are 4 courses scheduled to be close together. This final performance is considered quite good and shows that ACO has been successfully used to optimize course scheduling.
Simulator Edukatif untuk Pembelajaran Algoritma Rapidly-exploring Random Tree (RRT) Eka Setia Nugraha
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.362 KB) | DOI: 10.34010/telekontran.v7i2.2651

Abstract

Abstract - This paper presents the design and use of educational simulators to assist in teaching motion planning material using the Rapidly-exploring Random Tree (RRT) algorithm. This simulator is made using Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW). In this educational simulator also made several variations of the RRC, namely RRT*, bi-RRT and RRT biased. The advantage of this simulator is that each subprocess of the RRT algorithm can be visualized so that it will help improve understanding in learning this algorithm. The parameters of the RRT algorithm can also be easily modified so that they can be observed for the output performance of the RRT. Simulator performance testing is done by comparing its implementation in several existing benchmark cases. Because one of the important things in the path planning algorithm is about computational time, making this simulator software has been streamlined in order to obtain minimal system computing time. Using one of the benchmark cases in path planning, the RRT algorithm is designed to be able to arrange a path in 185 milliseconds, whereas if using the RRT* algorithm, the path planning can be completed in 1273 milliseconds. One of the ways to minimize this computation time is by minimizing overhead on subVI programs. Subhead overheads are minimized by making them subroutines. Therefore, the design of this simulator also avoids the use of functions in LabVIEW which cannot be used as subroutines. Using this simulator is expected to help students to get a better understanding of the motion planning algorithm using RRT. Keywords ­: Motion planning, Rapidly-exploring Random Tree, simulators, RRT variations, process visualization
Tuning Parameter pada Pengendali Logika Fuzzy menggunakan Algoritma Ant Colony Optimization Adriana Fanggidae
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.887 KB) | DOI: 10.34010/telekontran.v7i2.2661

Abstract

The Ant Colony Optimization (ACO) algorithm can be applied in tuning parameters in a Fuzzy Logic Controller (FLC) to control the water level of the process tank. Fuzzy input and output consists of seven membership functions, namely large positive (PB), medium positive (PM) and small positive (PS), zero (Z), small negative (NS), medium negative (NM) and large negative (NB) ). First, the initial FLC parameter is searched, then a graph is generated where the values ​​of the FLC parameter are determined in the range of values ​​between 0 and 1.5 times the initial parameter value. ACO algorithm is used to improve the value of the FLC parameter in order to obtain better performance. The expected controller performance is to minimize the maximum surge (overshoot) and rise time. This system is implemented using the LabVIEW program. Water level data is obtained using a potentiometer sensor. The output from the FLC is connected to the stepper motor to regulate the discharge of water input to the process tank. The test results obtained overshoot and a small rise time, for example, for setpoint 8, the system output performance has an overshoot of 2.5% and a rise time of 8909 ms. ACO algorithm succeeded in increasing system performance compared to system performance if using initial parameters. This increase in performance is due to the ACO algorithm acting as a local search algorithm which will look for better system performance around its initial parameter values. This research successfully demonstrated that the ACO algorithm can be used to do tuning from FLC parameters.
Studi Performansi Algoritma Perencanaan Jalur diantara PRM, RRT, RRT* dan Informed-RRT Nelci Dessy Rumlaklak; Yelly Y Nabuasa; Tiwuk Widiastuti
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 7 No 2 (2019): TELEKONTRAN vol 7 no 2 Oktober 2019
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (568.832 KB) | DOI: 10.34010/telekontran.v7i2.2701

Abstract

This paper will discuss a comparative performance review of several path planning algorithms. This study compares five well-known path planning algorithms, namely the Probabilistic Roadmap (PRM), Rapidly-exploring Random Tree (RRT), RRT* and Informed-RRT* algorithm. Testing is done through simulation based experiments using python. The test was conducted using several existing benchmark cases, namely narrow, maze, trap and clutter environment. The optimality criteria compared are path costs, computational time and the total number of nodes in the tree needed. The results of this study will provide information to readers about which algorithm is most suitable for use in user applications where there are several working parameters to be optimized. The findings have been summarized in the conclusion section. Keywords ­: Motion planning, PRM, RRT, RRT*, Informed-RRT*
Pengembangan Modul dan Trainer Mikrokontroler Wildan Zulfikar Djunaedi; Bobi Kurniawan
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol 8 No 1 (2020): TELEKONTRAN vol 8 no 1 April 2020
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.96 KB) | DOI: 10.34010/telekontran.v8i1.3062

Abstract

Abstract Teaching and learning process is a very important element in the world of Education, one's level of competence to compete in the world of work can be supported by a good teaching and learning process as well as adequate facilities. The latest technology has many benefits that are very useful for daily life such as microcontroller technology, wireless technology or IoT (Internet of Things). The design of the trainer is based on the needs of the Vocational School which includes basic modules and communication modules so that they can be used for more interactive programs. Testing basic modules such as LEDs, push buttons, servo motors, dc motors, stepper motors, relays, LCDs, sensors (distance, temperature and PIR) each program can run well, as well as communication modules that are tested using a desktop program run well. Feasibility testing is done by giving questionnaires to 12th grade vocational students, data processing is done using a Likert scale, from 3 categories given through the questionnaire for the aspect of "Quality of Content and Purpose" has a percentage of 80.5% included in the category of strongly agree, for aspects of " Learning Quality "has a percentage of 80.1% included in the category of strongly agree, and for the aspect of" Technical "has a percentage of 78.5% included in the category agreed. Based on the acquisition of the percentage above, it can be concluded that the trainers designed are acceptable to vocational students. Keyword ­: trainer, microcontroller, VHS, technology, wireless
Perancangan Dan Implemetasi Sensor GPS Pada Sistem Navigasi Multirotor Firdaus, Ramadan; Jatmiko, Didit Andri
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 8 No. 1 (2020): TELEKONTRAN vol 8 no 1 April 2020
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.858 KB) | DOI: 10.34010/telekontran.v8i1.3069

Abstract

An autonomous navigation system is a system that is needed by robots to be able to move without human assistance, a drone is a type of flying robot that can move without a pilot in it. Autononomous navigation system on a drone is built by several sensors connected to a microcontroller to be processed into attitudes and movements of the drone to be able to navigate in accordance with the desired program. GPS can be used by a drone to find out the location of a drone on the surface of the earth because GPS can receive signals emitted by satellites and turn them into a location point that has value. Every part of the earth's surface is now almost reachable by satellite signals, so each location on the earth has different longitude and latitude coordinates. By using GPS, an autonomous system can be designed for drones to be able to move from one point on the surface of the earth to another point or the so-called waypoint system. In this autonomous navigation system made a long-distance navigation system for hexacopter drones, this system is made to determine the precision of the GPS sensor when used to navigate from one location to another. In carrying out its mission, the drone will be given several waypoints containing longitude and latitude values ​​that must be achieved by the hexacopter in running the mission. In research, the results show that a GPS-based navigation system can make navigation drones enter the desired area within a radius of 1 meter from the coordinates (setpoint) entered with the number of satellites obtained by GPS is 24 satellites, and out of a radius of 1 meter when the number of satellites is received are 19 satellites.

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