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TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika
Published by Universitas Telkom
ISSN : 25021990     EISSN : 25022105     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Jurnal TEKTRIKA didekasikan untuk menjadi salah satu media publikasi dan diseminasi penelitian para akademisi, peneliti dan masyarakat umum dalam bidang keilmuan Telekomunikasi, Kendali, Komputer, Elektrik dan Elektronika. Jurnal ini diterbitkan oleh Fakultas Teknik Elektro Universitas Telkom Bandung mulai tahun 2016 ini dan merupakan kelanjutan dari jurnal JURTEL yang telah dipublikasikan sejak tahun 1997. Dengan demikian, topik yang dipublikasikan pada jurnal ini tentunya lebih luas cakupannya, yakni bidang Teknologi Elektro.
Arjuna Subject : -
Articles 145 Documents
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PENGEMBANGAN PENGENALAN AKTIVITAS MANUSIA UNTUK LANSIA BERDASARKAN NILAI AKSELEROMETER DAN FITUR STATISTIK Kahpiasa, Azzahra Nadya; Istiqomah, Istiqomah; Mukhtar, Husneni
TEKTRIKA Vol 8 No 1 (2023): TEKTRIKA Vol.8 No.1 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i1.6669

Abstract

Elderly people are those who are 60 years of age or older. Elderly people are more likely to fall due to age-related reductions in physiological processes, particularly bone and muscular functions. Falling is one of the symptoms that can be lethal. These effects may cause mortality if prompt medical assistance is not received due to the deterioration in numerous organ functions required to maintain body homeostasis. Previous studies have tested the Random Forest model from acceleration and gyroscope measurements to identify human activity. In this research, feature extraction was carried out utilizing variables such as maximum, minimum, mean, median, kurtosis, skewness, and variance that were obtained from the Acceleration data from accelerometer sensor in type IMU LSM9DS1. The Acceleration data include Acceleration X, Acceleration Y, Acceleration Z and Acceleration Magnitude. To evaluate the effectiveness of the Decision Tree model, cross-validation will be employed. The best feature extraction values were Magnitude Acceleration Variance, X Acceleration Maximum, Magnitude Acceleration Maximum, Z Acceleration Median, and Z Acceleration Variance, with a Decision Tree model accuracy rate of 99.8%. Key Words: Elderly, Fall, Tendency to Fall, Decision Tree, Statistical Feature
TTGO LORA ESP32: SOLUSI NIRKABEL UNTUK PROTOTIPE PENGENDALIAN PENGINJEKSI ARUS PADA METODE GEOLISTRIK Nurpadillah, Sifa; Susanto, Kusnahadi; Mukhtar, Husneni; Cahyadi, Willy Anugrah; Ikhsan, Akhmad Fauzi; Nurdin, Agung Ihwan; Razzak, Taufiq Abdul; Rahmawati, Dien
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6864

Abstract

Rock resistivity properties obtained using the geo-electric method are used to estimate subsurface soil structures and rock types in geophysical exploration. The data collection process using this geoelectrical method is often carried out in remote areas by installing current electrodes (AB) and potential electrodes (MN) up to 1.5 km away. The success of exploration is highly dependent on the current injection source used. The greater the current used, the deeper exploration that can be carried out. However, the required distance between AB and MN electrodes is getting further and the ABMN electrodes are connected by a cable. This causes the process of collecting data at further distances of electrodes to become more complex. This study discusses a current source prototype for geo-electric methods that can communicate wirelessly with TTGO LoRa ESP32 as a controller. This prototype provides three injection power options: full, medium, and low. Current injection is carried out on a dummy resistor, which acts as earth. When injecting current into the dummy resistor, current measurements obtained using the INA219 sensor gave very consistent measurement results because it had a relative error of < 1% (on 50 ? and 300 ? dummy resistors). When measuring a current of 0.0066 A, the relative error increases to 1.5%. But it still shows good consistency in the INA219 measurement results. In addition, the MAPE for all measurements is within < 10%, which means that the INA219 readings provide excellent results. Key Words: current injector, geo-electrical, INA219, voltage divider, TTGO LoRa.
DESIGN AND IMPLEMENTATION OF REAL-TIME NON-LINEAR DYNAMIC SIMULATION OF FIGHTER AIRCRAFT ON MULTICORE PROCESSOR Fathoni, Muhammad Faris; Sutiyo, Sutiyo
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6902

Abstract

Simulation is a system to imitate the operation of various kinds of real-world facilities or processes for training, behavior study or entertainment purposes. Some implementation of fighter aircraft simulation is done sequentially using FORTRAN and MATLAB / Simulink. On the other hand, a multicore (parallel) computer system has been in the personal computer environment, so the multicore computing paradigm should be considered. Intel Threading Building Blocks (TBB) library need to be utilized in multicore programming. This paper discusses the design and implementation of real-time nonlinear dynamic simulation of fighter aircraft on multicore processor. The aircraft model used in this study is F16 data. Implementation of the simulation code is written in C++ with Intel TBB, OpenGL, Open Scene Graph, and Open Dynamic Engine library. The testing results of non-linear dynamics simulation of fighter aircraft show that the speedup on an Intel Core 2 Duo processor is 1.1776 x for elevator doublet input (short period), while speedup on an Intel i7 is 1.5405 x for rudder doublet input (dutch roll). Key Words: multicore computing, real-time simulation, nonlinear dynamic, fighter aircraft model
ANALISIS PERFORMA KRIPTOGRAFI RSA PADA WINDOWS 11 DENGAN PYTHON DAN APLIKASI NZXT CAM Gunawan, Yusuf Atha; Yuda, Marutha Wira; Bintari, Salsabila Wahyu; Kardian, Aqwam Rosadi
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6930

Abstract

This research aims to analyze the performance of RSA cryptography on the Windows 11 operating system, implemented using Python and the NZXT CAM application. A quantitative approach was employed, utilizing a processor with specifications of 2.80GHz, 8 cores, and 16 GB RAM. Data were collected through the NZXT CAM benchmark application, measuring CPU and memory usage during RSA key generation, encryption, and decryption processes. The findings reveal a direct correlation between the length of the RSA key and both CPU load and the time required for cryptographic processes. It was found that longer RSA keys result in increased computational resource usage. For instance, a 1024-bit RSA key averages 10% CPU load and 53.1 MB memory, while a 2048-bit key increases to 11.6% CPU load and 53.4 MB memory. A 4096-bit key requires 10.6% CPU load with similar memory usage, but the processing time increases from 2.5 seconds to 27.7 seconds. The conclusion of this study provides significant insights for the development of security applications on Windows 11, particularly in balancing key length and resource usage. Further research is recommended to evaluate RSA performance on various hardware configurations. Key Words: RSA Cryptography, Windows 11, Python, NZXT CAM, Resource Utilization
HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA Putrada, Aji Gautama; Abdurohman, Maman; Perdana, Doan; Nuha, Hilal Hudan
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6973

Abstract

Human activity recognition (HAR) is a research field that focuses on detecting user activities and has wide applications. However, the problems that need to be solved are real-time constraints and imbalanced datasets due to different activity frequencies. Our research aims to apply classification integrated moving averages (CIMA) to HAR by evaluating its performance regarding real-time constraints and imbalanced datasets. We achieved the smartphone accelerometer dataset from Kaggle, which consists of several activities: walking, jogging, climbing, and descending stairs. We develop a general CIMA windowing algorithm with hyperparameters J and W. We benchmark CIMA with two state-of-the-art HAR methods: distributed online activity recognition system (DOLARS) and convolutional neural network (CNN). We conducted some imbalance and model size analysis. The test results show that, with J = 10 and W = 240, CIMA performs better than DOLARS and CIMA with recall, precision, and f1-score of 0.996, 0.993, and 0.994. We also prove that CIMA, assisted by quantization, has the smallest model size compared to the CNN and DOLARS model sizes. Finally, we demonstrate that CIMA performs well for imbalanced datasets, where CIMA’s recall on upstairs and downstairs activities is better than DOLARS and CNN, with values of 1.00 and 0.98, respectively. Key Words: classification integrated moving average, human activity recognition, smartphone, accelerometer, imbalanced dataset
PERBANDINGAN METODE FUZZY TIME SERIES MARKOV CHAIN DAN FUZZY TIME SERIES CHENG UNTUK PERAMALAN DATA INFLASI Martina, Annisa; Noor Sa’adah, Fuziani; Fatchul Huda, Arief
TEKTRIKA Vol 9 No 1 (2024): TEKTRIKA Vol.9 No.1 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i1.6914

Abstract

The value of inflation can determine decision-making for economic actors. Therefore, in order for entrepreneursto plan their business well, accurate inflation forecasting is necessary. Fuzzy Time Series (FTS) is a concept tosolve forecasting problems if historical data is formed into linguistic values. This method has advantages, namelythe calculation process does not require a complex system and is able to solve the problem of forecasting historicaldata in the form of linguistic values. Fuzzy Time Series Cheng (FTS-Cheng) method has a slightly differentmethod of determining intervals, while the interval determination in Fuzzy Time Series Markov Chain (FTS-MC)method is the same as other FTS methods. FTS-MC is a combined method of FTS with Markov chain stochasticprocesses. In this paper, we discuss forecasting inflation data using FTS-MC and FTS-Cheng methods. This studyuses monthly data on Indonesian inflation from January 2017 to December 2021. FTS-MC method has a MAPEvalue of 9.41% and FTS-Cheng method has a MAPE value of 32.25%. Based on the criteria for the accuracy ofMAPE, the forecasting value using FTS-MC method meets the very good forecasting results and the forecastingresults using FTSC method meet the sufficient forecasting results. Based on the MAPE value obtained, a betterforecasting method for the case study of Indonesian inflation data in 2017-2022 is FTS-MC method.
IMPLEMENTATION OF EXTRACT, TRANSFORM, LOAD (ETL) ON UNIVERSITY DATABASE USING STATE-SPACE PROBLEM Dharayani, Ramanti; Laksitowening, Kusuma Ayu; Yanuarfiani, Amarilis Putri
TEKTRIKA Vol 9 No 1 (2024): TEKTRIKA Vol.9 No.1 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i1.6952

Abstract

Extraction, Transformation, and Load (ETL) adalah salah satu proses dalam data warehouse yang mengumpulkan data dari berbagai sumber. ETL mengolah data mentah menjadi data yang bersih sesuai denganketentu-an data warehouse. Proses tersebut umumnya terdiri atas beberapa aktivitas dan membutuhkan waktuyang lama dan memori yang besar. Penelitian ini melakukan implementasi ETL dengan menggunakan workflowmasalah state-space pada kasus database universitas. Masalah state-space menggambarkan aliran proses ETL danmenemukan urutan aktivitas dalam proses ETL. Dari hasil uji ETL, rangkaian kegiatan diubah menggunakantransisi graf dan diperoleh hasil yang lebih optimal.
PENGARUH POLARISASI DIVERSITY TERHADAP BITRATE PADA OPENLTE SISTEM Nur, Levy Olivia; Karimafikri, Aisha Aulia; Sitorus, Saidhatul Munawaroh; Nurhaliza, Salwa
TEKTRIKA Vol 9 No 1 (2024): TEKTRIKA Vol.9 No.1 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i1.7038

Abstract

The main challenge for mobile wireless operators is to ensure that users consistently receive smooth and reliableservices. One of the crucial components in the development of wireless technology is the antena. The aim ofthis research is to understand the impact of polarization diversity on bitrate in the OpenLTE system. MultipleInput Multiple Output (MIMO) antenna system can enhance capacity and transmission speed in communicationsystems. OpenLTE features include a simple eNodeB with integrated Evolved Packet Core, tools for scanningand recording LTE signals based on GNU Radio. In this study, an analysis is conducted on the effects of MIMOantenna polarization arrangements using Co-Polarization and Cross-Polarization configurations. The researchindicates that the antenna configuration significantly influences the amount of bitrate and Signal to Noise Ratio(SNR) produced. The Cross-Polarization configuration can achieve a relatively high bitrate of 38 Mbps duringservice activities, compared to Co-Polarization, which only yields 28 Mbps in terms of birtare.
PERBANDINGAN ALGORITMA SOBEL, PREWITT, ROBERT, CANNY, KIRSCH, DAN LAPLACIAN OF GAUSSIAN DALAM DETEKSI TEPI PADA CITRA RONTGEN BATU SALURAN KEMIH Nugroho, Isaac Yeremia; Riti, Yosefina Finsensia; Wijaya, Ricky Junianto
TEKTRIKA Vol 9 No 2 (2024): TEKTRIKA Vol.9 No.2 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i2.8059

Abstract

Urinary stones are a medical condition that occurs when the bladder cannot expel all the urine it contains, causing minerals in the urine to precipitate and harden. Several methods can be used to diagnose urinary stones, one of which in X-ray imaging. The results of X-ray images are usually blurry and have low contrast, making it difficult to read the edges of objects int the images. Therefore, edge detection in used, and in this study, six edge detection algorithms are employed to sharpen the edges of objects in an image, resulting in images with clear and sharp object edges. This study compares six edge detection algorithms: Sobel, Prewitt, Robert, Canny, Kirsch, and Laplacian of Gaussian on X-ray images of urinary stones. The research methodology involves collecting a dataset, preprocessing, converting images to grayscale, segmentation, and implementing the algorithms. The results of the edge detection algorithms are measured using MSE (Mean Squared Error) and PSNR (Peak Signal-to-Noise Ratio). The results show that the Canny algorithm has the highest average MSE of 3801.45 and the lowest average PSNR of 12.78, while the Sobel algorithm produces the worst results with the lowest average MSE of 3254.95 and the highest average PSNR of 13.72.Key Words: urinary stones, edge detection, grayscale, segmentation, MSE, PSNR
IMPLEMENTASI DAN PERANCANGAN FAILOVER MENGGUNAKAN MODEL POOL PADA LAYANAN SMS BROADCAST Wicaksono, Ryan; Ibnugraha, Prajna Deshanta; Hamdani, Budhi
TEKTRIKA Vol 9 No 2 (2024): TEKTRIKA Vol.9 No.2 2024
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v9i2.8077

Abstract

The need to use multiple modems or what could be called multimodems is growing. Pool modems have the same working system as individual modems, only in the modem pool there are several modems placed in one box with the same power source. The modem pool can be configured to be able to broadcast SMS, because it has 8 ports, failover services can be used to broadcast SMS. Failover itself is a service where when one piece of hardware cannot perform its proper function, it will be transferred to the next piece of hardware so that the system continues to run as it should. The results of the design and implementation of failover to broadcast SMS to 30 numbers obtained a delay time of 5979 seconds, so that the average value of SMS sending was 199.3 seconds/SMS.

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