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All Journal International Journal of Electrical and Computer Engineering Medical Journal of Indonesia REKAYASA International Journal of New Media Technology Jurnal ULTIMA Computing Indonesian Journal of Electrical Engineering and Computer Science Indonesian Community Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Makara Journal of Technology

Shabrina, Nabila Husna

Universitas Multimedia Nusantara, Indonesia

Author-ID : 926284

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Simulation of Digital Radio Mondiale (DRM) Coverage Prediction – A study case with Radio Republik Indonesia (RRI) Nabila Husna Shabrina
IJNMT (International Journal of New Media Technology) Vol 4 No 1 (2017): IJNMT International Journal of New Media Technology
Publisher : Universitas Multimedia Nusantara

In this paper, DRM is applied for simulating coverage prediction in Radio Republik Indonesia (RRI). The proposed method is developed by simulating high frequency propagation from RRI Pro 3 transmitter with VOACAP online software. The simulation is undertaken in some different conditions. The variation of antenna type and transmitter power are observed in the simulation. The time of propagation also discussed to predict the coverage. The result shows that the variation of parameter influences the coverage result of DRM propagation in HF band. Changing the antenna type and time of propagation will make impact in the range of coverage while adding power transmitter gives insignificantly effect to the range of coverage. Keywords—DRM, Prediction Coverage, VOACAP REFERENCES [1] ITU R-REP-BS.2144-2009-PDF-E, “Planning parameters and coverage for Digital Radio Mondiale (DRM) broadcasting at frequencies below 30 MHz”, 2009. [2] M. J. Bradley, “Digital Radio Mondiale: System and Receivers”,Roke Manor Research Ltd, UK, 2003 [3] G. Prieto, I. Pichel, D. Guerra, P. Angueira, J.M. Matias, J.L. Ordiales, A. Arrinda, “Digital Radio Mondiale: Broadcasting and Reception”, IEEE Press, 2004. [4] DRM Features, available under http://www.drm.org [5] “Digital Radio Mondiale (DRM); System Specification,” European Telecommunication Standards Institute (ETSI), ETSI TS 101980, 2001. [6] D. Setiawan, “Alokasi Frekuensi, Kebijakan dan Perencanaan Spektrum Indonesia”, Departemen Komunikasi dan Informatika, 2010. [7] P.A Bradley, Th Dambold, P.Suessmann, “Propagation model for HF Radio Service Planning”, HF Radio Systems and Techniques, Conference Publication No 474 0 IEE, 2000. [8] J.J. Carr, “Practical Antenna Handbook 4th Edition”, McGraw Hill, 1990. [9] J.M Matias et al, “DRM (Digital Radio Mondiale) Local Coverage Tests Using the 26 Mhz Broadcasting Band”, IEEE Transactions on Broadcasting, Vol. 53, No. 1, August 2007. [10] C. A. Balanis, “Antenna Theory Analysis and Design”, 2nd ed, John Wiley & Sons, 2005. [11] Keputusan Direktorat Jendral Pos dan Telekomunikasi Nomor 85/DIRJEN/1999, “Spesifikasi Teknis Perangkat Telekomunikasi, Persyaratan Teknis Perangkat Radio Siaran”, Jakarta, 1999.

Literature Review: Metode Komputasi Numerik untuk Analisis Gelombang Elektromagnetik Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (2017): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

This paper reviews the conceptual background and some application of numerical computational method for electromagnetic waves. In this literature review, our discussion is limited to Finite Element Method (FEM), Finite Difference Time Domain (FDTD) Method, and Method of Moment (MoM). Definition and characteristic of each method is explained, including the theoretical principles along with strength and weakness for every method. The method for solving electromagnetic problems can be selected based on the object’s shape, researcher’s domain concerned, and Maxwell equation associated with the problem. By reading this paper, readers will not only grasp the theoretical explanation but also gain the big picture of each numerical computational method. Indeks Terms— FEM, FDTD, MoM, Numerical Computational Method

Analisis Pola Radiasi Antena Dipole pada aplikasi Wireless Sensor Networks di Industrial Site Nabila Husna Shabrina; Samuel Samuel
Ultima Computing : Jurnal Sistem Komputer Vol 10 No 2 (2018): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

In industry 4.0, a complex system was needed to automatically control and communicate between devices. One component that often used in industrial automation is Wireless Sensor Networks (WSN), which is worked by transmitting the data needed through electromagnetic waves. The electromagnetic propagation in industrial process encounter challenges which caused by reflection or scattering from the object inside the industrial site. Therefore, in this research, the author will conduct a simulation to determine the characteristic of electromagnetic propagation in industrial site. The simulation was done by simulating antenna dipole with frequency 2.4 GHz in the simple 3D industrial site consist of some component. The result shows that simulating antena dipole in industrial site will affect the characteristic of the antena such as gain, directivity, and S parameter.

Analisis Keefektifan Penggunaan Filter FIR dan IIR pada Sinyal Pernapasan EMGdi dengan Simulasi MATLAB Christopher Leonard; Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Medical instrumentations are used to retrieve and record signal data in the patient’s body such as respiratory signals. The data from the respiratory signal is able to diagnose the patient’s respiratory health. Unfortunately, in retrieving signal data, there are noises that interfere with the required signal information. In this article, the signal input will be filtered with two types of filter (FIR filter with window method and IIR filter with pole-zero placement method or bilinear transformation method) and compared their effectiveness to reduce or eliminate the noise signal. Both filters have a cut-off frequency of 50 Hz. The outputsignal shows that the noise ECG signal is more effective to be eliminated with an IIR filter because of its characteristic filter. Therefore, the IIR filter is morerecommended being used in medical instrumentation for its effectiveness and minimum hardware required.

Pengaplikasian Face Recognition 3 Dimensi Untuk Keamanan Jason Adrian Mahalim; Muhamad Aliefian Rahmatulloh; Muhamad Rizky Febrianto; Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Face recognition is one of the biometric categories which uses face as the identifier. Currently, there are two versions of face recognition, 2 dimensional and 3 dimensional. This research uses 3 dimensional face recognition, and the goal for this research is for comparing the accuracy between 2 dimensional and 3 dimensional face recognition, analyze the performance of 3 dimensional face recognition, and applying 3dimensional face recognition for security measure, namely for automatic door lock using face recognition. Face Alignment Network used as the method for this 3 dimensional face recognition. This research prove that 3 dimensional face recognition have better accuracy than its predecessor, however some weakness is also found in this research, i.e. image resolution, lighting of the photo, angle of the face when the photo taken will govern the accuracy of the 3 dimensional face recognition and 3 dimensional face recognition can’t differentiatebetween twins brother faces.Key word : Face recognition, accuracy

Analisis Aplikasi Filter FIR dan Filter IIR dalam Pra-pemrosesan Sinyal Elektroensefalografi Caroline Caroline; Nabila Husna Shabrina; Melania Regina Ao; Nadya Laurencya; Vanessa Lee
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Abstract – Electroencephalography (EEG) is a method used to analyze brain activities, detect abnormalities in brain, and diagnose brain-related disease. To extract information from EEG signal, preprocessing steps such as Fast Fourier Transform (FFT), filter, and wavelet decomposition will be needed. This paper primarily focuses on implementation of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter design in EEG signal preprocessing in MATLAB software. The result of the simulation indicates that each filter design implemented in EEG preprocessing has different performance and side effect toward signal processing parameters such as phase distortion, amplitude ratio, and processing time. Filter design type implementation also affect power and entropy calculation result. Keywords – EEG, FIR filter digital, IIR filter digital, Wavelet Decomposition, GUI-MATLAB

Perbandingan Pola Sinyal Penyakit Myocardial Infarction dengan Jantung Normal Menggunakan Metode Wavelet Symlet Markus Aminius Gilbert; Nabila Husna Shabrina; Andre Wijaya; Jeremy Pratama Wijaya
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

On the signal of healthy human cardiography and people with myocardial infarction contain a lot of noise. For this reason, it is necessary to process the appropriate signal so that the information contained by the signal can be detected easily. Stages of research include data search, pre-processing, signal processing with the denoise Wavelet Symlet method, and qualitative comparison of cardiographic signal patterns resulting from normal human signal processing with myocardial infarction. To eliminate noise on ECG signals, the denoise method using Wavelet Symlet is proven to be better than the Finite Impulse Response (FIR) Hamming Windows filter. MATLAB is one of the software options that can be used in processing cardiographic signals with denoise Wavelet Symlet method, proven to have a fairly high reliability based on qualitative analysis. This trial also proved that the pattern of human cardiographic signals with myocardial infarction disorders was quite random and and differed from one patient to another. However, slower heart rate patterns, greater amplitude, and abnormalities in the P, T signal and stretching Q-S distances can be a reference for diagnosing someone with myocardial infarction.

Emotion Recognition using Convolutional Neural Network in Virtual Meeting Environment Nabila Husna Shabrina; Julando Omar; Akmal Nusa Bhakti; Axel Patria
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2108

This study is done in order to propose an Emotion Recognition System that uses Convolutional Neural Network in a Virtual Meeting Environment to detect non-verbal feedback that emerge when communicating. This study starts with the training process of the CNN model with version 2.3.0 of tensorflow-gpu library, along with FER-2013 dataset, where only 80% of the data is used as the training set, and the other 20% is used as the test set. The model is trained for 430 epochs that results in 73.86% rate of accuracy with a loss of 1.42. In the classification process, a Haar-Cascade Classifier algorithm is used to detect faces within an image that has been inputted using OpenCV. Next the already developed model is used to predict the image that has been pre-processed. Based on the results shown, it can be concluded that the study has provided satisfactory results and is expected to help in understanding non-verbal input given when communicating and among other various things.

Hand Gesture Detection for Sign Language using Neural Network with Mediapipe Arsheldy Alvin; Nabila Husna Shabrina; Aurelius Ryo; Edgar Christian
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2109

The most popular way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems. However, hand gesture-based systems have seen low adoption among end-users primarily due to numerous technical hurdles in detecting in-air gestures accurately. This paper presents Hand Gesture Detection for American Sign Language using K-Nearest Neighbor with Mediapipe, a framework developed to bridge this gap. The framework learns to detect gestures from demonstrations, it is customizable by end-users, and enables users to interact in real-time with computers having only RGB cameras, using gestures.

Comparison of FIR Window Filter Variation Results on Pink Noise Audio John Christopher; Nabila Husna Shabrina; Cindy Cornelia; Yoel Zakhary
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v14i1.2120

IIR and FIR filters are the most used digital signal filters. The application of each filter type depends on the needs of the user. IIR filters are generally used for applications with limited memory. In comparison, FIR filters are usually used for applications where the linear phase is essential. In this study, the implementation of FIR filters on pink noise audio samples was observed. Various FIR window method filters such as rectangular, hamming, hanning, and Blackman will be compared. Each type of filter will have a different filter order due to computing the frequency cut-off point for each filter. The comparisons were made by observing the gain response, the time domain signal, the frequency response, and the phase response. The results indicated that the Hanning window method is a better filter because it produces low delay and good attenuation. Things to be considered in designing FIR filters are fluctuations in frequency response and phase shift. Alterations on cut-off points on the filters and delay usage can be deployed for some improvement

Co-Authors Achmad Munir Aditya Satyagraha Agnes Stephanie Harahap Agus Rizal Ardy Hariandy Hamid, Agus Rizal Ardy Hariandy Akmal Nusa Bhakti Akrom, Akrom Andre Wijaya Ardiles Akyuwen Arsheldy Alvin Aurelius Ryo Axel Patria Bakti, Akmal Nusa Christopher Leonard Cindy Cornelia Edgar Christian Fahmy Rinanda Saputri gibran, kahlil Gideon K.F.H. Hutapea Hardi Nusantara Hobara, Yasuhide Imamul Masyhudi Irmawati Jason Adrian Mahalim Jeremy Pratama Wijaya John Christopher Julando Omar Kanza Amanda Markus Aminius Gilbert Melania Regina Ao Melissa Indah Fianty Miranda, Monik Ediana Monica Pratiwi Muhamad Aliefian Rahmatulloh Muhamad Rizky Febrianto Nadya Laurencya Natalia Angeline Nusantara, Hardi Samuel Samuel Siwi Indarti Suwito Casande Vanessa Lee Wang, Aurelius Ryo Yoel Zakhary

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