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Analisis Perbandingan Kinerja Ekualisasi Zero Forcing dan MMSE pada FBMC-OQAM HENDRY, JANS; ISNAWATI, ANGGUN FITRIAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 3 (2019): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i3.600

Abstract

ABSTRAKKebutuhan layanan data pada teknologi 5G sangatlah tinggi. FBMC sebagai solusi dari kelemahan yang ada di OFDM menjadi teknologi yang digunakan pada komunikasi 5G. Pada OFDM, penggunaan ekualisasi sudah sangat banyak dilakukan penelitiannya dan menunjukkan hasil yang bervariasi tergantung dari jenis ekualisasi yang digunakan. Beberapa jenis ekualisasi yang digunakan pada modulasi OFDM antara lain Zero Forcing dan MMSE. Pada penelitian ini, beberapa variasi ekualisasi tersebut diterapkan pada FBMC dan dianalisis perbandingan kinerjanya. Penggunaan modulasi Offset-QAM yang dipadukan dengan FBMC mempunyai fungsi sebagaimana cyclic prefix pada OFDM (CP-OFDM) yakni untuk mengurangi inter symbol interference (ISI). Hasilnya menunjukkan bahwa nilai BER pada FBMC yang menggunakan ekualisasi MMSE pada SNR 5 dB mempunyai nilai sebesar 0,2941 sedangkan BER pada FBMC yang menggunakan ekualisasi ZF sebesar 0,2875. Nilai SER untuk ZF sebesar 0,5514 dan untuk MMSE sebesar 0,5391. Kapasitas kanal Hal ini menunjukkan bahwa kinerja FBMC dengan menggunakan ekualisasi MMSE lebih baik dibanding Zero Forcing.Kata kunci: FBMC, Offset-QAM, ekualisasi, Zero Forcing, MMSE ABSTRACTThe needs of data service on 5G technology is extremely necessary. FBMC as a solution over OFDM's drawbacks becomes the technology that is used in 5G communication. In OFDM technology, various equalisation methods have been used and final result highly depends on which method being used. Some of equalisation methods used in OFDM modulation are Zero Forcing (ZF) and MMSE. In this research, those equalisation methods were used on FBMC modulation and the performances were analyzed. The use of Offset-QAM modulation combined with FBMC actually functioning like Cyclic Prefix on OFDM which is to reduce Inter Symbol Interference (ISI). The result shows that BER value on FBMC that used MMSE equalisation when SNR 5 dB equals to 0.2941 whereas BER value on FBMC that used ZF equals to 0.2875. The value of SER on ZF is 0.5514 and MMSE is 0.5391. Channel Capacity calculation also shows that FBMC performance with MMSE is better than Zero Forcing.Keywords: FBMC, Offset-QAM, equalization, Zero Forcing, MMSE
IMPLEMENTASI MOVING AVERAGE FILTER UNTUK KOREKSI KESALAHAN SENSOR PENGUKUR KEDALAMAN AIR RIFANTI, UTTI MARINA; PUJIHARSONO, HERRYAWAN; SETIAWAN, ANDRI; HENDRY, JANS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 2 (2020): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektro
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i2.432

Abstract

ABSTRAKAspek utama yang membedakan sensor satu dengan yang lainnya adalah tingkat akurasinya. Pada penelitian ini, dibuat sistem untuk menurunkan tingkat deviasi untuk meminimalisir kesalahan hasil pengukuran pada sensor berbiaya murah. Sensor yang digunakan adalah sensor tekanan udara BMP180. Sensor tersebut digunakan untuk mengukur kedalaman berdasarkan tekanan udara dalam air. Moving Average Filter (MAF) digunakan untuk membuang pencilan data, sehingga didapatkan data yang lebih relevan yang kemudian digunakan untuk melakukan curve fitting. Kemudian dilakukan analisis regresi linear untuk menghasilkan persamaan yang berfungsi sebagai pengoreksi data terekam dari sensor tersebut. Pengujian sistem dilakukan melalui beberapa skenario lalu diambil persamaan yang menghasilkan nilai Mean Square Error (MSE) yang paling kecil. Berdasarkan hasil penelitian, diperoleh kesimpulan bahwa MAF mampu meningkatkan akurasi data hingga mencapai 99.12%.Kata kunci: sensor BMP180, koreksi kesalahan, regresi linear, moving average filter, mean square error ABSTRACTThe main aspect that distinguishes sensors from one another is the level of accuracy. In this study, a system was developed to reduce the level of deviation to minimize the measurement error on low-cost sensors. The sensor used is the air pressure sensor, BMP180. Then this sensor is used to measure water depth based on air pressure in water. The Moving Average Filter (MAF) method is used to get rid of outliers of data, to obtain more relevant data for curve fitting. Then a linear regression analysis is performed to produce a function as a correction of recorded data from the sensor. System testing is carried out through a number of scenarios and then the equation is chosen with the smallest Mean Square Error (MSE). Based on this research, MAF increases data accuracy up to 99.12%.Keywords: sensor BMP180, error correction, linear regression, moving average filter, mean square error
Sistem deteksi ketepatan pembacaan surah al-Kautsar berbasis kata menggunakan mel frequency cepstrum coefficient dan cosine similarity Jans Hendry; Aditya Rachman; Dodi Zulherman
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 1, Year 2020 (January 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.8.1.2020.27-35

Abstract

In this study, a system has been developed to help detect the accuracy of the reading of the Koran in the Surah Al-Kautsar based on the accuracy of the number and pronunciation of words in one complete surah. This system is very dependent on the accuracy of word segmentation based on envelope signals. The feature extraction method used was Mel Frequency Cepstrum Coefficients (MFCC), while the Cosine Similarity method was used to detect the accuracy of the reading. From 60 data, 30 data were used for training, while the rest were for testing. From each of the 30 training and test data, 15 data were correct readings, and 15 other data were incorrect readings. System accuracy was measured by word-for-word recognition, which results in 100 % of recall and 98.96 % of precision for the training word data, and 100 % of recall and 99.65 % of precision for the test word data. For the overall reading of the surah, there were 15 correct readings and 14 incorrect readings that were recognized correctly.
Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case Jans Hendry; Isnan Nur Rifai; Yoga Mileniandi
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 1, Year 2021 (January 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2020.13858

Abstract

The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single-channel source separation problem of the Non-negative Matrix Factorization (NMF) framework. The result shows that NMF-DGT is better than NMF-STFT according to Signal-to-Interference Ratio (SIR), Signal-to-Artifact Ratio (SAR), and Signal-to-Distortion Ratio (SDR). In the supervised scheme, NMF-DGT has a SIR of 18.60 dB compared to 16.24 dB in NMF-STFT, SAR of 13.77 dB to 13.69 dB, and SDR of 12.45 dB to 11.16 dB. In the unsupervised scheme, NMF-DGT has a SIR of 0.40 dB compared to 0.27 dB by NMF-STFT, SAR of -10.21 dB to -10.36 dB, and SDR of -15.01 dB to -15.23 dB.
Seleksi Fitur Terhadap Performa Kinerja Sistem E-Nose untuk Klasifikasi Aroma Kopi Gayo Budi Sumanto; Denting Romantika Java; Wahyu Wijaya; Jans Hendry
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.406 KB) | DOI: 10.30812/matrik.v21i2.1495

Abstract

Tujuan dari penelitian ini adalah mengoptimasi kinerja system E-Nose dengan melakukan seleksi fitur untuk memperoleh kombinasi fitur yang terbaik dalam mengklasifikasi aroma jenis kopi arabika Gayo. Kopi ini merupakan salah satu kopi spesial dari Indonesia yang berasal dari Provinsi Aceh. Berbagai faktor dapat mempengaruhi hasil akhir kopi salah satunya pada proses pengolahan pasca panen diantaranya teknik proses kering (drying) dengan metode Natural dan Wine. Perbedaan metode pengolahan pasca panen ini dapat mempengaruhi aroma kopi yang dihasilkan dari setiap kopi yang memiliki aroma dan cita rasa yang khas. Penerapan sistem Electronic Nose (E-Nose) dapat diaplikasikan untuk mengklasifikasi aroma yang berbeda dari jenis kopi Gayo natural dan Gayo wine, namun kesamaan respon sensor dan banyaknya data menyebabkan kurang spesifik dan menurunkan performa kinerja sistem. Implementasi seleksi fitur dapat diterapkan pada proses klasifikasi dengan menggunakan metode Support Vector Machine (SVM) berdasarkan jumlah galat Sum of Absolute Errors (SAE) untuk mendapatkan kombinasi fitur terbaik sehingga mendapatkan kinerja sistem yang lebih optimal. Hasil penelitian ini mendapatkan 5 fitur terbaik dengan nilai akurasi sebesar 93,33%, presisi sebesar 93,33% dan sensitivitas sebesar 93,33%.
Implementasi Filter Pre-Emphasis untuk Transmisi Sinyal Audio pada Sistem Komunikasi FBMC-OQAM Anggun Fitrian Isnawati; Jans Hendry
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.885 KB)

Abstract

High speed data transmision demands broader bandwidth. This has an effect towards the limitation of frequencies spectrum allocation as well as interference. To solve this, multi carrier modulation is one of choices. Having better power spectral density compared to OFDM, the FBMC-OQAM has been chosen as the multi carrier modulation. The FBMC is equipped with Poly Phase Network filter, makes it able to achieve better PSD. Frequently used filter, which is pre-emphasis, is popular in speech processing that is possibly able to be extended in use. Pre-emphasis is also accompanied with de-emphasis filter, which is similar to FBMC. Pre-emphasis filter suppresses low frequency magnitudes and emphasizes higher frequency. By assuming that noise presents in higher frequency, an approachment to protect audio signal by itself is proposed. Random noise is broadband signal where frequencies can have ranges from lower to higher with smaller magnitudes compared to signal. By providing slots in audio higher frequency and magnitudes, random noise occupied those slots with relatively weak magnitudes then sent through the air. At the receiver, a de-emphasis filter invert the process to restore signal by de-emphasizing higher frequency and removing noise as well. The result shows better BER with this approachment. For example, when Eb/No was 13 dB, BER with and without pre-emphasis are approximately 0.0184 dB and 0.0187 dB, consecutively. It means there was 250 bits or approximately 32 points has been corrected. It shows that pre-emphasis can work along with PPN FBMC filter to gain better BER values.
Analysis of Position Angle of Arrival in Multipath Fading Channel using Correlated Double Ring Channel Model for VANET Communications Jans Hendry; Anggun Fitrian Isnawati; Wahyu Pamungkas
JURNAL INFOTEL Vol 10 No 2 (2018): May 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i2.372

Abstract

Correlated Double Ring channel modeling in the mobile to mobile communication system (M2M) and vehicular based communication system was pointed out. This modeling required the transmitter and receiver were randomly moving and surrounded by scatterers in a static ring. The scatterers’ positions were placed randomly at the radius of the ring of transmitter and receiver. Received signals were measured based on complex envelope parameters. Two signals propagation scenarios were implemented, they were signals of Rayleigh and Rician distributed. In order to calculate the Rayleigh and Rician complex envelope values, there were some parameters involved which were Angle of Arrival (AoA) and velocity of transmitter and receiver that created Doppler effects. The effects of AoA parameter were investigated towards envelope complex values of Rayleigh and Rician according to predetermined various velocities and scatterers’ positions were divided into four positions criteria. The simulation result shows that for scheme 2 at velocity 40 m/s, distribution magnitude for Rayleigh is 0,1 and Rician is 0,5. It concludes that Rician distribution always outperforms Rayleigh distribution for all predetermined velocities and this scheme give the largest magnitude over all. This is because of the closest distance between scatterers of transmitter and receiver. Also, certain velocities range over all scatterers’ positions, the magnitude of Rayleigh and Rician complex envelope have similar graphic tendency.
Performance Analysis of Fetal-Phonocardiogram Signal Denoising Using The Discrete Wavelet Transform Ipam Fuadina; Jans Hendry; Dodi Zulherman
JURNAL INFOTEL Vol 11 No 4 (2019): November 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i4.458

Abstract

The obligation for comprehensive fetal heart rate investigation had driven to improve the passive and non-invasive diagnostic instruments despite the USG or CTG method. Fetal phonocardiography (f-PCG) utilizing the auscultation method met the above criteria, but its interpretation frequently disturbed by the presence of noise. For instance, maternal heart and body organ sounds, fetal movements noise, and ambient noise from the environment where it is recording are the noise that corrupted the f-PCG signal. In this work, the use of discrete wavelet transforms (DWT) to eliminate noise in the f-PCG signal with SNR as the performance parameters observed. It was observing the effect of changes in wavelet type and threshold type on the SNR value. The test was carried out on f-PCG data taken from physio.net. Initial SNR values ranged from -26.7 dB to -4.4 dB; after application of DWT procedure to f-PCG, SNR increased significantly. Based on the test results obtained, wavelet type coif1 with the soft threshold gave the best result with 11.69 dB in SNR value. The coif1 had a superior result than other mother wavelets that use in this work, so the fPCG signal analysis for fetal heart rate investigation suggested to use it.
Underwater Data Transmission Using Frequency Shift Keying (FSK) Modulation with Bit Rate of 2400 bps Slamet Indriyanto; Anggun Fitrian Isnawati; Jans Hendry; Ian Yosef Matheus Edward
Buletin Pos dan Telekomunikasi Vol. 18 No. 1 (2020): June 2020
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.2020.180102

Abstract

Underwater acoustic communication is a technology that uses sound or acoustic waves and water as its propagation medium. This technology has been used in various fields, such as underwater wireless sensor networks, underwater monitoring system, and surveillance systems. An acoustic modem is required to facilitate communication between nodes. In this paper, an underwater acoustic modem using Frequency Shift Keying (FSK) modulation has been designed. This modulation is widely used because of its reliability and simple design. FSK modem was designed using M=2 level or known as Binary FSK (BFSK) with 40 kHz mark frequency and 43 kHz space frequency. This study tested data packets sending and its error rate against the distance variation. Testing for 70-bit data resulted in 1% error at 100 cm distance and 37% error at 170 cm distance. When compared with the previous testing at 1200 bps which resulted in 0% and 35% error, it can be seen that error at 1200 bps is better than at 2400 bps, but the data transmission was better at 2400 bps. Addition to the number of bits sent and distance has an influence on the error value, i.e. the greater the distance and the amount of data sent, the greater the error value.
Multimedia Transmission Technique for Smart Ambulance with multi-carrier OFDM in a V2V and V2I Channel model using Software Defined Radio Technology Wahyu Pamungkas; Anggun Fitrian; Solichah Larasati; Ari Endang Jayati; Elfira Nureza Ardina; Jans Hendry
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.5030

Abstract

This research explores the implementation of a cutting-edge Software Defined Radio (SDR) framework to transmit multimedia files that can be assumed to be medical data in smart ambulances. The system utilizes multi-carrier Orthogonal Frequency-Division Multiplexing (OFDM) across V2V and V2I channels. The research is based on the notion that adaptive real-time communication is essential for the uninterrupted supply of key patient data to medical facilities and vehicles in transit, in order to address the problems posed by high mobility and dynamic environmental conditions. A comprehensive SDR system has been constructed and assessed in comparison to conventional communication mechanisms, demonstrating notable advancements in data accuracy and uninterrupted transmission. Our system successfully established stable connections in V2I channels, even in the presence of environmental obstacles. It maintained average power levels of approximately 32.074 dBm and a Peak-to-Average Power Ratio (PAPR) of 1.037 dB. These results indicate a constant signal envelope that promotes optimal signal transmission with excellent fidelity. In V2V scenarios, we successfully maintained data integrity with a low Peak-to-Average Power Ratio (PAPR) of 3.316 dB, even while vehicles were moving at a speed of 20 km/h. Additionally, we secured a high likelihood (94.5%) that the signal power remained close to the average, showing the robustness of our system against Doppler effects and signal dispersion. Text transmissions experienced errors when subjected to a Doppler shift of 20 km/h, which impacted the decoding of the received text. Similarly, image transmissions revealed limitations in bandwidth, as a transmitted image of 3640 KB was received with a degraded 4 KB. This emphasizes the importance of implementing effective error handling and recovery mechanisms. The results illustrate the efficacy of the suggested system in maintaining a high Quality of Service (QoS), offering proof of the effectiveness of contemporary wireless communication technologies in improving emergency medical services and setting new standards in smart ambulance capabilities.