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Jana Utama
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jana.utama@email.unikom.ac.id
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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
Klasifikasi Citra Biji Arbila di Kabupaten Kupang menggunakan k-Nearest Neighbor berdasarkan fitur Warna dan Tekstur Fanggidae, Adriana; Dwitala, Allen Miquel; Polly, Yulianto Triwahyuadi; Koten, Bernadete B.
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 2 (2024): TELEKONTRAN vol 12 no 2 Oktober 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i2.14207

Abstract

Arbila (Phaseolus lunatus L.) is a type of food legume belonging to the Fabaceae (Leguminosae) family. Arbila can be categorized into two groups: those that are safe for human and animal consumption, and those that are not consumable due to their hazardous cyanide acid concentrations. Variants of Arbila seeds exhibit similarities in color and texture, which can lead to misidentification during manual sorting by the community. Therefore, there is a need for the development of a system that can assist the public in identifying different types of Arbila seeds. This study utilizes three color features based on the HSV (Hue, Saturation, and Value) model and four texture characteristics based on the GLCM (Gray Level Co-Occurrence Matrix) model as input parameters for classifying Arbila seed types. The applied method is k-NN (k-Nearest Neighbor). A total of 600 image data points were collected from 10 different types of Arbila seeds. Experiments were conducted with various k values in the k-NN method, specifically k values of 1, 3, 5, 7, and 9, while also applying the K-Fold Cross-Validation method with 10 folds to assess the system's performance. The results indicate that the maximum average accuracy achieved is 89.33% at k = 1, while the lowest average accuracy recorded is 79.33% at k = 9.
Optimasi Kualitas Jaringan 4g Lte Menggunakan Metode Physical Tuning Rahmadila, Cintya Dwi
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 2 (2024): TELEKONTRAN vol 12 no 2 Oktober 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i2.12310

Abstract

The development of the 4G LTE network is increasing as the number of users increases every year. Therefore, the increase in the number of users must be accompanied by an increase in cellular telecommunications network infrastructure. The problems that cause the network to decline are the extent ofservice coverage (coverage) and the level of network service quality (quality). In this research, the 4G LTE network quality design uses a physical tuning method located in the Aia Pacah area, because the coverage area is still not good, causing interference. The research began by collecting 4G LTE signal data using the drive test method to determine network quality and analyzing it using tems discovery software and optimizing using Atoll software. The data processing process displays several basic parameters of the 4G LTE network, namely RSRP, SINR, and THROUGHPUT. The results of measuring the quality of the 4G LTE network in the Aia Pacah area before optimization of the KPI standard results showed that the RSRP value increased from 56.46% to 65%, the SINR decreased from 96.2% to 89.1% and the THROUGHPUT experienced a a decrease from a value of 88.3% to 78.5%.
Prototype Web-Based Surveillance and Management Reporting System for Public Street Lighting Santika, Maria Enggar; Wirayuda, Samuel Tristan; Setyawan, Lukas Bambang
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 2 (2024): TELEKONTRAN vol 12 no 2 Oktober 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i2.14111

Abstract

The growing global population and rapid urbanization have escalated the demand for smart city technologies that promote sustainability and efficient resource management, particularly through IoT-based data processing systems. Efficient urban infrastructure management, such as public street lighting, is crucial to meet these demands. However, many local governments continue to rely on manual inspections, which are inefficient and costly, underscoring the need for automated, real-time monitoring solutions that improve reliability and reduce operational expenses. This research presents a system that automates streetlight control based on predefined schedules and reports any malfunctions to a central database. The system leverages an Arduino Nano as the main controller, an RTC (Real-Time Clock) for timing, a GSM Shield SIM900 for communication, and solar panels as an energy source. Experimental results demonstrate that the lighting system operates reliably according to the specified schedule. Experimental results show that the lighting system operates according to the specified schedule and the SIM900 module sends data from the sensors to the website in real-time.
PROTOTYPE OF COOKING OIL VISCOSITY MEASURING INSTRUMENT USING LASER BEAM AND LIGHT DEPENDENT RESISTOR (LDR) Firmansyah, Dudi Adi
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.14451

Abstract

Cooking oil, especially palm oil, is one of the highest commodities produced and consumed by Indonesia. Throughout 2022, Indonesian people consumed 20.9 million tons of palm cooking oil. With the recent emergence of cooking oil dispensers, a regulation, method, or tool is needed to measure the quality of cooking oil stored in cooking oil dispensers. One of the factors that determines the quality of cooking oil is thickness or viscosity. The viscosity or thickness of cooking oil is greatly influenced by the temperature of the palm oil. Therefore, a prototype tool for measuring cooking oil viscosity was created using a laser module and a Light Dependent Resistor (LDR) sensor. This tool is based on a falling ball viscometer, where time recording is assisted by an internal timekeeper on the Arduino Uno. The results of testing the measuring instrument prototype at temperatures of 29 °C to 45 °C showed that the accuracy was more than 95.82% and the precision average is 94.73%. This prototype displays the viscosity measurement results on the I2C 16x2 LCD in Pa.s units and has a push button to hold the measurement result value.
Aplikasi Sensor Cahaya (BH1750) pada Tanaman Anggrek menggunakan ESP 32 Berbasis IoT rahma, diana mauli
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.14476

Abstract

Sunlight plays an important role in the photosynthesis process of orchid plants for optimal growth. Cymbidium orchid plants, for example, require a range of sunlight intensity between 3500 lux to 4000 lux (B.V., 2023). When sunlight intensity is low, the photosynthesis process will inhibit orchid plant growth and flower formation (Sudarso et al., 2020). Therefore, it is important to ensure proper light intensity so that orchid plants can grow well. Based on these problems, researchers created a monitoring system and light intensity control system in the smart garden for orchid plants. The device used is an IoT-based ESP32 microcontroller, allowing users to monitor conditions anytime and anywhere via an internet connection. The light sensor used is BH1750 to monitor the intensity of sunlight in the orchid plant area. Blynk is used as an interface to connect the smartphone and the installed hardware. Through Blynk, IoT system developer can control ESP32 in real-time through internet connection. This automation system will work automatically to control the roof and lights based on the input parameters. This research successfully developed the BH1750 sensor application to automate light intensity on orchid plants using ESP32, with monitoring through the Blynk application. Based on the test results, the average accuracy is 99.11%, the average precision is 99.26%, and the average error is 0.15%. Keywords : Blynk, Sunlight, ESP32, IoT, BH1750 Sensor
A Design and Implementation of Carbon Monoxide Toxic Gas Monitoring Device Based on Esp32 Master-Slave Using Fuzzy Logic Method in UNY Welding Workshop Sony, Arya
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.14905

Abstract

Lack of awareness of welding workshop workers towards Occupational Health and Safety (K3) is a serious and high-risk problem for them. The danger of CO gas emissions from the welding process can cause serious toxic exposure that has the potential to cause long-term health and disease risks. Regulation of the Minister of Manpower Number 5 of 2018 concerning the Limitation of CO Gas Exposure of 25 ppm for 8 working hours per day. Workers are required to use Personal Protective Equipment (PPE) if the gas levels exceed the specified limits. This study discusses the problems in welding workshops by utilizing the MQ-135 gas sensor with the ESP32 microcontroller. The output of this tool is a 16x2 LCD screen to provide written warnings, a buzzer to provide sound warnings, and a DC fan controlled using fuzzy logic to neutralize the air in the welding area. The system works with a Master - Slave topology so that data transmission is carried out wirelessly which makes the layout of the tool more flexible. The results of the study indicate that the Air Quality Control Tool with the MQ-135 sensor using the ESP32 microcontroller has been designed efficiently. The ESP32 performed very well, achieving a 100% success rate for the required functions, although there was a small error rate of 17.71% compared to the Carbon Monoxide Alarm as a comparison. Testing showed good effectiveness, with communication between the master and slave devices taking an average of only 0.21 seconds. The ESP32's network connectivity quality achieved a 100% success rate over a wide range of distances and in the presence of obstacles.
Perancangan dan Implementasi Sistem Monitoring Amonia, Suhu, dan Kelembaban Pada Kandang Ayam Close House Berbasis Internet of Things Rizaldi, falhan Febrian
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.15242

Abstract

The poultry industry with a closed-house system has experienced rapid growth, but controlling air quality, especially ammonia (NH3) gas, remains a challenge for farmers. In this research, the authors successfully designed and implemented an IoT-based monitoring system to monitor the air quality of chicken coops in real-time. The system is capable of measuring ammonia levels, temperature, and humidity. The system consists of three parts: node, master, and gateway. In the node section, there are MQ-135 and DHT11 sensors to measure ammonia, temperature, and humidity. Data processing from the sensors uses an ESP32 microprocessor and LoRa E32 module. The measurement results of the sensor are displayed on an LCD and website using Internet of Things technology. The results of this study show that this system is effective in monitoring ammonia levels, temperature, and humidity, thus helping farmers maintain air quality in coops and increase productivity. With this tool, farmers can monitor coop conditions in real-time and take necessary actions.
Studi Komparasi Pengaruh Lebar Pita Axial ratio Menggunakan Variasi Radiator Pada Antena Mikrostrip Rusdiyanto, Dian
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.15262

Abstract

Polarization is a significant parameter in microstrip antennas that can be shaped based on the radiating element (radiator) with specific characteristics. This research focuses on designing antennas using radiator variations to obtain polarization parameters such as axial ratio. The axial ratio bandwidth (ARBW) values produced by each antenna model are analyzed. The antenna radiator has a rectangular base shape using an FR4 substrate with a dielectric constant of 4.6 and a thickness of 1.6 mm, operating at a frequency of 2450 MHz. The radiating element has a stub as a structural variable to achieve impedance matching, and this variable does not affect the axial ratio value. From the basic rectangular shape, the antenna radiator is modified using the truncated corner method, which involves cutting the corners of the radiating element. The truncated corner models consist of triangular, circular, and square shapes. Simulation results show that the square truncated corner model has the largest ARBW value of 150.3 MHz, while the triangular and circular shapes have ARBW values of 103.1 MHz and 118.8 MHz, respectively. The best axial ratio value at the resonant frequency is achieved by the triangular truncated corner shape. These results indicate that the difference in radiator shape affects the axial ratio value and ARBW.
SIMPATIKA: Sistem Pemantauan Kelembaban Tanah dan Suhu Pada Budidaya Mangga di Desa Sumberjaya Karawang Kurniawan, Teguh
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.15563

Abstract

Mango production in Sumberjaya Village has decreased, which has led to a decline in the income of the mango farming community. This research aims to help Sumberjaya Village farmers increase mango production by providing information on land suitability for effective cultivation. The designed system uses YL-69 soil moisture sensor and DHT22 temperature sensor to detect land environmental conditions. Tests were conducted on 3 different land areas, each with ten test points 6 meters apart according to the standard of mango seedling planting. Results show that the device is able to identify soil conditions in five categories: very dry, dry, moderately moist, moist, and wet. The “moist” category (61-80%) was identified as the optimal condition for planting mango seedlings. The ambient air temperature ranges from 24°C-30°C, suitable for mango cultivation. Variations in soil moisture even within one area are likely due to factors such as rainfall and differences in soil structure and texture. The tool is able to provide information to farmers regarding the condition of the land, enabling better decision-making in mango cultivation. With this simple design, it is hoped that this technology can continue to be developed to support the sustainability of agriculture in Sumberjaya Village and surrounding areas.
Prototipe Alat Ukur Densitas BBM Pertalite Berdasarkan SK DIRJEN MIGAS No. 486 Tahun 2017 Gianto, Gianto
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 1 (2025): TELEKONTRAN vol 13 no 1 April 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i1.15821

Abstract

The increasing use of pertalite fuel oil (BBM) directly implies a higher risk of fraud. Therefore, it is necessary to conduct quality testing of pertalite fuel, one of which is density testing. In the density testing of fuel at gas stations, the conventional method is generally still used, which involves manually using a hydrometer and thermometer, and then converting it to the standard temperature of 15°C using the ASTM 53B table. This research is designed to develop a prototype of a pertalite fuel density measuring device to accelerate the duration of density testing. This prototype is designed using a 1 kg load cell sensor, a DS18B20 sensor, and a 300 ml measuring cup integrated with an Arduino UNO. Where, using a push button as a tare button and output in the form of 2 LEDs and a 20x4 I2C LCD, using the mass and volume comparison method. The accuracy and precision of the prototype were obtained at 96,88% and 99,41%, with an average testing duration of 41 s to 56 s faster than the conventional method, which averages 125 s. This prototype was calibrated using standard M1 class weights, thermocouples, and a 25 ml pycnometer. The calibration results of the 1 kg load cell sensor showed an accuracy and precision of 99,72% and 99,98%, respectively, while the calibration results of the DS18B20 sensor showed an accuracy and precision of 99,18% and 99,27%, respectively.

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