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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Jurnal Teknologi dan Sistem Komputer Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Telematika Journal of Robotics and Control (JRC) Best Journal (Biology Education, Sains and Technology) Society: Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal INFOTEL Buletin Pos dan Telekomunikasi
Dodi Zulherman
Institut Teknologi Telkom
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences

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Klasifikasi Sinyal EEG pada Sistem BCI Pergerakan Jari Manusia Menggunakan Convolutional Neural Network Rahmat Widadi; Bongga Arif Widodo; Dodi Zulherman
Techno.Com Vol 19, No 4 (2020): November 2020
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v19i4.4119

Abstract

Pemanfaatan sistem Brain-Computer Interface (BCI) sebagai penghubung pikiran manusia dengan peralatan eksternal sangat bergantung pada keakuratan pengklasifikasian dan pengidentifikasian sinyal EEG khususnya gerak motor imagery. Kesuksesan deep learning, sebagai contoh Convolutional Neural Network (CNN), dalam proses klasifikasi pada berbagai bidang berpeluang untuk diimplementasikan pada klasifikasi gerak motor imagery. Pengimplementasian CNN untuk klasifikasi sinyal EEG motor imagery (MI-EEG) gerakan jari tangan diperkenalkan dalam tulisan ini. Rancangan sistem klasifikasi terdiri dari dua bagian yaitu convolution layer dan multilayer perceptron yang diimplementasikan menggunakan Python 3.7 dengan library TensorFlow 2.0 (Keras). Pengujian rancangan sistem dilakukan terhadap lima subjek dari data MI-EEG 5F dengan frekuensi pencuplikan 200 Hz. Pengujian melibatkan Kfold-cross validation dan analisis pada confusion matrix. Berdasarkan hasil pengujian, peningkatan ukuran kernel menghasilkan peningkatan rata-rata akurasi sistem. Sistem dengan akurasi terbaik diperoleh pada rancangan dengan jumlah kernel 50 sebesar 51,711%. Rancangan sistem menghasilkan kinerja yang melebihi hasil penelitian yang menjadi rujukan utama.
Analisis Perancangan Jaringan Fiber To The Home Area Jakarta Garden City (Jakarta Timur) dengan Metode Link Power Budget dan Rise Time Budget Fahrudin Rosanto; Dodi Zulherman; Fauza Khair
Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Vol 2, No 1 (2017): Mei 2017
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Peningkatan kebutuhan bandwidth yang lebar dan kecepatan transfer data yang tinggi mendorong pengembangan jaringan berbasis serat optik hingga ke layanan rumahan (Fiber To The Home) seperti kawasan hunian Jakarta Garden City. Perancangan jaringan Fiber To The Home (FTTH) berbasis Gigabit Passive Optical Network (GPON) mengikuti standar ITU-T dengan proses perancangan jaringan menggunakan Google Earth dan OptiSystem kemudian penghitungan link power budget dan rise time budget, dan pengukuran kinerja berdasarkan spektrum sinyal elektrik dan spektrum optik. Berdasarkan hasil perhitungan didapatkan nilai link budget rata-rata 22 dBm, margin daya 3 dBm dan rise time budget untuk downstream menggunakan bit rate 2,488 Gbps sebesar 0,27 ns. Upstream menggunakan bit rate 1,244 Gbps sebesar 0,25 ns. RF Spectrum Analyzer dan Optical Spectrum Analyzer menampilkan grafik siyal optik dengan puncak sebesar -19,94 dBm dan grafik sinyal elektrik, nilai sebesar -66,44 dBm. Semua parameter pengukuran menghasilkan nilai yang memenuhi standar jaringan FTTH berdasarkan ITU-T.
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.
Perbandingan Real-Valued dan Complex Wavelet Transform pada Denoising Sinyal Fetal-Phonocardiograms Dodi Zulherman; Jans Hendry; Ipam Fuadina Adam
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1485.976 KB) | DOI: 10.22146/jnteti.v9i1.144

Abstract

Monitoring of Fetal Heart Rate (FHR) in the pregnancy period commonly uses the Doppler-based instruments despite having several disadvantages, such as high-cost and complexity of the monitoring system. Implementation of the passive and non-invasive method based on fetal phonocardiogram (fPCG), the acoustic recording of fetus cardiac signal, can be used as a potentially economical long-term monitoring device for diagnosis. Because the interference signal from the maternal women exists, the matured denoising technique was needed to implement the fPCG method to diagnose the fetus' well-being condition. The denoising system based on Dual-tree Complex Wavelet Transforms (DTCWT) was proposed in this paper. The proposed method was evaluated using Signal to Noise Ratio (SNR). Based on the experiment result from 37 fPCG signals from physio.net, the DTCWT system performance was compared with the Discrete Wavelet Transform (DWT). There were 24 CWT’s denoised fPCG signals that have successfully outperformed DWT’s SNR. DTCWT has also reduced the noises in the range of 30 Hz–80 Hz. Also, it emphasized the existence of dominant frequencies in the range of 60 Hz–65 Hz.
EEG Signal Classification of Motor Imagery Right and Left Hand using Common Spatial Pattern and Multilayer Perceptron Back Propagation Synatria Subekti; Rahmat Widadi; Dodi Zulherman
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1404

Abstract

The number of people with disabilities is increasing, so it requires bionic devices to replace human motor functions. Brain-Computer Interface (BCI) can be a tool for the bionic device to communicate with the brain. Signal brain or Electroencephalogram (EEG) signal need to classify to drive the corresponding bionic device. This research goal is to classify the imagination of the right and left-hand movements based on the EEG signal. The system design in this research consists of EEG channel selection using Finite Impulse Response (FIR) filter, feature extraction using Common Spatial Pattern (CSP), and classification using Multilayer Perceptron Back Propagation (MLP-BP). The data used a secondary dataset from BCI Competition IV (2b) with 9 research subjects. The research scenario is carried out by trying to use several variations in the number of hidden layer nodes on each EEG channel. Based on the test, the best accuracy for MLP-BP is 68.7% using 24 nodes in the alpha channel.
KLASIFIKASI SINYAL PHONOCARDIOGRAM MENGGUNAKAN METODE SHORTTIME FOURIER TRANSFORM DAN SUPPORT VECTOR MACHINE Faqih Amatya Hendrayan; Dodi Zulherman; Rahmat Widadi
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 13, No 2 (2022): JURNAL SIMETRIS VOLUME 13 NO 2 TAHUN 2022
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v13i2.6595

Abstract

Penggunaan phonocardiogram (PCG) dalam mengekstraksi informasi-informasi secara elektronik membutuhkan analisis sinyal yang kompleks. Namun, PCG memiliki keunggulan bersifat non invasif dan hemat dibandingkan dengan electrocardiogram (EKG). Tujuan penelitian ini mengembangkan sebuah perangkat klasifikasi untuk alat bantu diagnosis berdasarkan metode shorttime fourier transform (STFT) untuk ekstraksi fitur dan support vector machine (SVM) untuk klasifikasi. Kinerja sistem yang telah dirancang menggunakan dataset sekunder, dengan jumlah 2.141 sinyal PCG yang terdiri dari 1958 normal dan 183 abnormal. Pengujian kinerja menggunakan beberapa variasi rancangan, yaitu Hamming, Hanning, dan Blackman window pada STFT dan variasi kernel serta nilai C parameter pada SVM. Berdasarkan hasil pengujian variasi jenis window pada STFT, membuktikan bahwa nilai terbaik didapatkan oleh Hamming window dengan nilai sensitifitas 62.24%, spesitifitas 89.47%, area under ROC curve (AUC) 0.75, serta akurasi sebesar 65.62%. Hasil dari variasi C parameter sebesar 1000 pada proses klasifikasi mendapatkan hasil evaluasi kinerja terbaik pada masing-masing kernel, nilai AUC pada kernel linear sebesar 0.73, 0.78 pada kernel polynomial, dan 0.83 pada kernel radial basis function (RBF). Penelitian ini membuktikan bahwa penggunaan Hamming window pada ekstraksi fitur dan nilai C parameter 1000, serta variasi kernel RBF pada klasifikasi sebagai bentuk model terbaik sistem PCG berbasis STFT dan SVM.
Peningkatan Keterampilan Teknologi Guru TK Melalui Pelatihan Microsoft Word Muhammad Fajar Sidiq; Dodi Zulherman; Ipam Fuaddina Adam; Trihastuti Yuniati; Amalia Beladinna Arifa
Society : Jurnal Pengabdian Masyarakat Vol 2, No 5 (2023): September
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v%vi%i.343

Abstract

This community service initiative is designed with the primary aim of providing training in the use of Microsoft Word to Kindergarten (TK) teachers in an effort to enhance their technological skills. The workshop aims to offer support to TK teachers in developing their competence in operating this word-processing software, which plays a crucial role in the modern education landscape. The background of this community service initiative reflects the educational transformation that has taken place in recent years. In this digital era, information technology and communication play an increasingly significant role in the learning process. Therefore, TK teachers need to have a strong understanding of relevant digital tools, with Microsoft Word being one of them. This workshop serves as a platform for TK teachers to comprehend and master various features and functions of Microsoft Word, ranging from basic to advanced levels. The importance of this workshop is also reflected in its potential positive impact. With TK teachers becoming more proficient in using Microsoft Word, they will be able to create more engaging, interactive, and relevant learning materials for children in today's digital age. This will enhance the learning experiences of TK students and provide a stronger foundation for their digital literacy development in the future. Furthermore, the workshop creates opportunities for TK teachers to share knowledge and experiences, strengthening collaborative networks among them. By sharing best practices in the use of Microsoft Word, they can support each other in their efforts to improve the quality of early childhood education. The workshop is expected to result in a significant improvement in the technological skills of TK teachers and, in turn, enrich the learning experiences of their students.
Analisis Unjuk Kerja Rancangan Jaringan Fiber To The Home Area Jakarta Garden City dengan Metode Eye-Diagram Dodi Zulherman; Fahrudin Rosanto; Fauza Khair
JURNAL INFOTEL Vol 9 No 3 (2017): August 2017
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v9i3.238

Abstract

Dalam tulisan ini, kami merancang jaringan akses fiber to the home berbasis gigabit passive optical network (FTTH-GPON) pada area Jakarta Garden City. Pemodelan rancangan menggunakan GoogleEarth dan OptiSystem. Rancangan yang kami usulkan menggunakan kecepatan downstream 2,4 Gbps dan upstream 1,2Gbps. Kami mengamati kesesuaian unjuk kerja rancangan terhadap standar FTTH-GPON yang dikeluarkan oleh ITU-T. Kami menggunakan metode perhitungan link power budget dan risetime budget dalam perancangan jaringan FTTH. Berdasarkan hasil pengamatan didapatkan link budget sebesar 22 dB dengan margin daya sebesar 3 dB, risetime budgetd downstream sebesar 0,27 ns, dan risetime upstream sebesar 0,25 ns. Pengukuran unjuk kerja rancangan menggunakan metode eye-diagram yang menampilkan jitter, distorsi, signal-to-noise ratio (SNR), nilai Q-factor dan nilai BER. Pengukuran unjuk kerja dengan menggunakan power masukan 5 dBm dan panjang gelombang 1490 nm menghasilkan jitter sebesar 16,7 ps, distorsi sebesar 1,07µ a.u., SNR sebesar 6,87, Q Factor sebesar 21,249 dan BER sebesar 1,9 x 10-99. Berdasarkan hasil pengamatan dan analisis terhadap hasil tersebut, rancangan jaringan FTTH pada area Jakarta Garden City yang kami usulkan telah memenuhi standar ITU-T untuk penggunaan layanan internet kecepatan tinggi.
Performance Comparison of Dispersion Compensation Schemes Using DCF in DWDM Optical Network Fauza Khair; Dodi Zulherman; Fahmi Fahmi
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.v10i2.362

Abstract

The dense wavelength division multiplexing (DWDM) system enhances bandwidth capacity for long-haul communications system, but the system performance is affected by a chromatic dispersion especially in the high bitrate communication caused by different refractive index in pulse propagation for optical link. Using the Dispersion compensating fiber (DCF) can compensate for the positive dispersion in the optical link because it has negative dispersion value and can reduce the effect of the chromatic dispersion. We look for the suitable DCF scheme in our DWDM System using 16 channels with bitrate 40 Gbps per channel, channel spacing 200 GHz and optical link length 300 km and discuss the system performance to compensate dispersion in DWDM systems with the optical launch power variation. Based on the result, the system with the symmetrical scheme with optical power launch had the best performance with BER 8.33 × 10-86 and Q-factor 19.572. Optical power launch had the effect to the system performance, the optical power launch 0 dBm in the all DCF scheme was not meet with ITU-T standard for optical link. In sequentially Q-factor of the pre-compensating, post compensating, and symmetrical compensating fiber schemes is 6.007, 6.209, and 6.608 which are not meet the ITU-T standard that Q-factor has to more than 7.20. The increasing optical power launch improved the system performance for all DCF scheme. In sequentially Q-factor of the symmetrical scheme with input power 0 dBm, 2 dBm, 4 dBm, 6 dBm, 8 dBm, and 10 dBm is 6.680, 8.510, 10.724. 13.340, 16.319, 19.572. This work obtains that the system with symmetrical compensating fiber more suitable than pre-compensating fiber and post-compensating fiber and the system with high optical launch power has better performance than low power.
Comparative Analysis of Erbium Doped Fiber Amplifier (EDFA) and Raman Optical Amplifier (ROA) in Nonlinear-CWDM System Dodi Zulherman; Fahmi Fahmi; Sri Utami; Tri Heru Santoso; Satria Adi Nugroho
JURNAL INFOTEL Vol 10 No 3 (2018): August 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i3.378

Abstract

The massive demands for high-rate application drove the telecommunication service to use large bandwidth capacity. The Coarse Wavelength Division Multiplexing (CWDM), common use in Metro-WDM, can be a solution to provide large bandwidth in optical communications. In a communications system, there are attenuation and nonlinear effect decreasing the system performance. To overcome the limitation imposed by electrical regeneration to maintain system performance, a means of optical amplification was sought. In this paper presents the comparison of two competing technologies emerged: Erbium Doped Fiber Amplifier (EDFA) and Raman Optical Amplifier (ROA) to overcome the attenuation in the nonlinear system. We designed the CWDM system using 8 channels with 20 nm channel spacing and 60 km length. The result was conducted by varying the optical power launch using -8, -6, -4, -2, 0, 2, 4, and 6 dBm. Based on the result of the research, Raman amplification can maintain the BER and the Q-factor that meet the ITU-T standard for all optical power launch value, but EDFA can maintain those for optical power launch more than 0 dBm. In addition, the received power in Raman amplification larger than that received in EDFA. In conclusion, a CWDM system using ROA amplifier prefer to use for the system than using the EDFA amplifier.
Co-Authors Aditya Rachman Amal, Muhammad Alwi Adnan Amalia Beladinna Arifa Andriani, Rizki Anggun Fitrian Isnawati Bongga Arif Widodo Fahmi Fahmi Fahmi Fahmi Fahrudin Rosanto Fahrudin Rosanto Fahrudin Rosanto, Fahrudin Faqih Amatya Hendrayan Fauza Khair Firdaus, Hardiansyah Fuadina, Ipam Hendry, Jans Ipam Fuaddina Adam Ipam Fuadina Ipam Fuadina Adam Jans Hendry Nasution, Nurromsyah Nurromsyah Nasution Olivian Bagas Pratama Rahmat Widadi Rifani Auliana Rina Mardiati, Rina Rosita, Erlia Santoso, Tri Heru satria adi nugroho Satria Adi Nugroho Setiawan, Aan Eko Sidiq, Muhammad Fajar Sri Utami Sri Utami Subekti, Triyono Synatria Subekti Tri Heru Santoso Trihastuti Yuniati Triyono Subekti Yoanda Alim Syahbana Yokota Yasunari