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Identifikasi Sel Acute Lymphoblastic Leukemia (ALL) pada Citra Peripheral Blood Smear Berdasarkan Morfologi Sel Darah Putih Suratin, Muhammad Dzikrullah; Rahmadwati, Rahmadwati; Muslim, Aziz
e-Jurnal Arus Elektro Indonesia Vol 1, No 3 (2015)
Publisher : e-Jurnal Arus Elektro Indonesia

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Abstract

Penelitian ini mengajukan sebuah sistem untuk melakukan identifikasi sel Acute Lymphoblastic Leukemia (ALL) pada citra sediaan apus darah berdasarkan ciri morfologi. Agoritma yang digunakan meliputi beberapa langkah: pra-pengolahan, segmentasi citra, perhitungan fitur dan klasifikasi. Algoritma K-means Clustering berdasarkan segmentasi warna digunakan untuk memisahkan citra apus darah menjadi empat daerah: latar belakang, nukleus WBC, sitoplasma WBC dan RBC. Nukleus yang tumpang tindih kemudian dipisahkan dengan mengaplikasikan metode Watershed Transform. Berdasarkan lima fitur morfologi yaitu area, perimeter, diameter, roundness dan compactness, citra apus darah diklasifikasikan menggunakan metode Support Vector Machine. Hasil penelitian ini didapatkan akurasi pengenalan sel ALL dan sel darah putih normal sebesar 95.45%.
PENGENALAN WAJAH SECARA REAL TIME MENGGUNAKAN METODE CAMSHIFT, LAPALCIAN of GAUSSIAN DAN DISCRETE COSINE TRANSFORM TWO DIMENSIONAL (LoGDCT2D) Sultoni, Sultoni; Dachlan, Hary Soekotjo; Mudjirahardjo, Panca; Rahmadwati, Rahmadwati
Network Engineering Research Operation [NERO] Vol 2, No 3 (2016): NERO
Publisher : Universitas Trunojoyo Madura

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Abstract

Penelitian pengenalan wajah sudah mulai berkembang beberapa dekade terakhir dan sudah banyak diaplikasikan terutama untuk sistem keamanan. Banyak metode yang bisa digunakan dalam pengenalan wajah, salah satunya adalah pengenalan wajah secara real time dengan menggunakan metode Camshift, Laplacian of Gaussian  dan Discrete Cosine Transforom Two Dimensional (LoGDCT2D). Berdasarkan hasil uji coba terhadap 10 orang dimana tiap-tiap orang diambil 10 citra wajah sebagai data pelatihan dengan berbagai posisi dan pose, kemudian dibandingkan dengan 100 frame  video  orang yang bersangkutan, menghasilkan akurasi yang cukup baik apabila dibandingkan dengan metode DCT2D dan Gabor Wavlet. Berdasarkan penelitian terdahulu akurasi dari DCT2D adalah sekitar 85,40% dan Gabor Wavlet memiliki akurasi 79,31% sedangkan LoGDCT2D memiliki tingkat akurasi sebesar 93,91%. Dilihat dari waktu komputasi juga masih cukup baik, dimana rata – rata waktu komputasi dari LoGDCT2D adalah 2,14 detik ini mengindikasikan bahwa dengan adanya penambahan filtering menggunakan LoG dapat meingkatkan akurasi pengenalan dan dengan waktu komputasi yang tetap stabil.Kata kunci: Pengenalan Wajah, Camshift, LoG, DCT2D, LoGDCT2D.
IMPLEMENTASI METODE ANFIS-MINKOWSKI UNTUK IDENTIFIKASI BIOMETRIK IRIS MATA MENGGUNAKAN IMAGE PROCESSING Anindita, Ruth Astari; Setyawati, Onny; Rahmadwati, Rahmadwati
Network Engineering Research Operation [NERO] Vol 3, No 1 (2017): NERO
Publisher : Universitas Trunojoyo Madura

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Dalam penerapan komunikasi nirkabel, peran antena sangat diperlukan karena antena berfungsi sebagai sarana untuk mengirimkan dan menerima gelombang elektromagnetik yang di dalamnya terkandung sinyal informasi yang dibutuhkan.  Perkembangan terkini dari komunikasi nirkabel membutuhkan karakteristik antena yang mempunyai bentuk relatif kecil, massa yang ringan dan mudah untuk difabrikasi. Antena mikrostrip merupakan salah satu jenis antena dengan karakteristik yang tepat akan kebutuhan tersebut. Namun antena mikrostrip memiliki kekurangan yaitu bandwidth yang sempit, efisiensi yang rendah, gain yang rendah, memiliki rugi hambatan, dan memiliki daya yang rendah. Untuk mengatasi kekurangan antena mikrostrip dapat dilakukan dengan cara menggunakan slot pada patch antena. Teknik penggunaan slot pada patch antena sering menggunakan bentuk huruf abjad. Teknik penggunaan slot dengan bentuk huruf abjad tersebut masih memiliki beberapa kekurangan antara lain, frekuensi yang dihasilkan bergeser dari frekuensi yang ditetapkan dalam perancangan, yaitu sebesar 2,4 GHz dan nilai gain yang dihasilkan juga masih berada dibawah nilai 3 dB. Dari beberapa kekurangan tersebut, maka diajukanlah suatu rancangan antena mikrostrip dengan penggunaan slot berbentuk E. Adapun alasan penggunaan slot berbentuk E karena bentuk E memiliki performa yang optimal dengan bandwidth yang tinggi, gain yang tinggi, dan return loss yang rendah dibanding dengan bentuk huruf abjad yang lain. Selain itu, bentuk E juga relatif sederhana dalam hal analisis geometri sehingga dapat dengan mudah diaplikasikan dalam perancangan dan pembuatan antena mikrostrip. Pada penelitian ini, akan digunakan metode Transmission Line dengan bantuan software simulasi CST Studio Suite Student Version. Hasil simulasi yang dilakukan menunjukkan nilai S11 sebesar -32,131 dB, VSWR sebesar 1,0507, dan gain sebesar 5,858 dB.Kata kunci :  Antenna, E-slot, Mikrostrip, Transmission Line
Optimized Active Learning for User’s Behavior Modelling based on Non-Intrusive Smartphone Ika Kusumaning Putri; Deron Liang; Sholeh Hadi Pramono; Rahmadwati Rahmadwati
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.94 KB) | DOI: 10.11591/ijece.v7i1.pp505-512

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In order to protect the data in the smartphone, there is some protection mechanism that has been used. The current authentication uses PIN, password, and biometric-based method. These authentication methods are not sufficient due to convenience and security issue. Non-Intrusive authentication is more comfortable because it just collects user’s behavior to authenticate the user to the smartphone. Several non-intrusive authentication mechanisms were proposed but they do not care about the training sample that has a long data collection time. This paper propose a method to collect data more efficient using Optimized Active Learning. The Support Vector Machine (SVM) used to identify the effect of some small amount of training data. This proposed system has two main functionalities, to reduce the training data using optimized stop rule and maintain the Error Rate using modified model analysis to determine the training data that fit for each user. Finally, after we done the experiment, we conclude that our proposed system is better than Threshold-based Active Learning. The time required to collect the data can reduced to 41% from 17 to 10 minutes with the same Error Rate.
LHCP four patches stack triangular truncated antenna using corporate feed microstrip-line for CP-SAR sensor Muhammad Fauzan Edy Purnomo; Vita Kusumasari; Rudy Yuwono; Rahmadwati Rahmadwati; Rakhmad Romadhoni; Azizurrahman Rafli; Yuyu Wahyu; Akio Kitagawa
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i5.pp4125-4134

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In this paper, we acquire the configuration of the left-hand circular polarization (LHCP) array four patches stack triangular truncated microstrip antenna. This construction use the basic corporate feed microstrip-line with modified lossless T-junction power divider on radiating patch for circularly polarized-synthetic aperture radar (CP-SAR) sensor embedded on unmanned aerial vehicle (UAV) with compact, small, and simple configuration. The design of circular polarization (CP) is realized by truncating the whole three tips and adjusting the parameters of antenna at the target frequency, f = 5.2 GHz. The results of characteristic performance and S-parameter for the LHCP array four patches stack antenna at the target frequency show successively about 9.74 dBic of gain, 2.89 dB of axial ratio (Ar), and -10.91 dB of S-parameter. Moreover, the impedance bandwidth and the 3 dB-Ar bandwidth of this antenna are around 410 MHz (7.89%) and 100 MHz (1.92%), respectively.
Classification of multiclass imbalanced data using cost-sensitive decision tree C5.0 M. Aldiki Febriantono; Sholeh Hadi Pramono; Rahmadwati Rahmadwati; Golshah Naghdy
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.088 KB) | DOI: 10.11591/ijai.v9.i1.pp65-72

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The multiclass imbalanced data problems in data mining were an interesting to study currently. The problems had an influence on the classification process in machine learning processes. Some cases showed that minority class in the dataset had an important information value compared to the majority class. When minority class was misclassification, it would affect the accuracy value and classifier performance. In this research, cost sensitive decision tree C5.0 was used to solve multiclass imbalanced data problems. The first stage, making the decision tree model uses the C5.0 algorithm then the cost sensitive learning uses the metacost method to obtain the minimum cost model. The results of testing the C5.0 algorithm had better performance than C4.5 and ID3 algorithms. The percentage of algorithm performance from C5.0, C4.5 and ID3 were 40.91%, 40, 24% and 19.23%.
RETRACTED: Sistem Penegakan Speed Bump Berdasarkan Kecepatan Kendaraan yang Diklasifikasikan Haar Cascade Classifier Muhammad Zulfikri; Erni Yudhaningtyas; Rahmadwati Rahmadwati
Techno.Com Vol 18, No 2 (2019): Mei 2019
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (790.016 KB) | DOI: 10.33633/tc.v18i2.2074

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Artikel dengan judul Sistem Penegakan Speed Bump Berdasarkan Kecepatan Kendaraan yang Diklasifikasikan Haar Cascade Classifier telah dilakukan pencabutan dari jurnal Techno.COM Vol. 18 No. 2 Mei 2019, pada tautan daring http://publikasi.dinus.ac.id/index.php/technoc/article/view/2074. Hal ini dikarenakan artikel sudah terbit pada Jurnal Teknologi dan Sistem Komputer Vol 7 No 1 Januari 2019. pada tautan daring https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13158Isi artikel yang dibuat adalah asli dibuat oleh yang bersangkutan, namun dikirim ke beberapa jurnal yang berbeda dengan waktu yang sama, sehingga waktu pemrosesan dan penerimaan artikel hampir sama, namun artikel telah dipublikasikan terlebih dahulu di Jurnal Teknologi dan Sistem Komputer Vol 7 No 1 Januari 2019 pada tautan daring https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13158. Maka bersama ini Jurnal Techno.COM mencabut artikel ini dari edisi Vol. 18 No. 2 Mei 2019. Artikel bersangkutan dapat diakses di URL yang telah disebutkan. 
Optical sensor based on dye-sensitized solar cell with tobacco chlorophyll Eka Maulana; Rahmadwati Rahmadwati; Sapriesty Nainy Sari; Akhmad Sabarudin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 4: August 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i4.12613

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Modified optical sensor based on dye-sensittized solar cell has been successfully fabricated to measure the number of light energy. The electric parameters as the sensor output were achieved from the light illuminance as the sensor input. The measured parameter from optical sensor according to the voltage and current output have been characterized to obtain the sensor performance. In this research, the modified sensor is customized from dye-sensitized solar cell with extracted tobacco chlorophyll dye as the photo-catalysator, photo-electrode of titanium dioxide and Iodine solution for redox reaction. The thick layer deposition with selected material is conducted using spin coating method of 1000 rpm. Based on the absorbance measurement, it shows that tobacco dye has the characteristics of visible light absorption in the wavelength of visible light spectra. The analytical result shows that the sensor has the wide linear characteristic in certain light illuminance and the increasing light intensity produces higher electrical parameter output both current and voltage. This sensor has potential prospect to be used as a light sensor and to be competitive fabrication cost.
Low Complexity Multi-User MIMO Detection for Uplink SCMA System Using Expectation Propagation Algorithm Alva Kosasih; Onny Setyawati; Rahmadwati Rahmadwati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.7365

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Sparse code multiple access (SCMA), which combines the advantages of low density signature (LDS) and code-division multiple access (CDMA), is regarded as one of the promising modulation technique candidate for the next generation of wireless systems. Conventionally, the message passing algorithm (MPA) is used for data detector at the receiver side. However, the MPA-SCMA cannot be implemented in the next generation wireless systems, because of its unacceptable complexity cost. Specifically, the complexity of MPA-SCMA grows exponentially with the number of antennas. Considering the use of high dimensional systems in the next generation of wireless systems, such as massive multi-user MIMO systems, the conventional MPA-SCMA is prohibitive. In this paper, we propose a low complexity detector algorithm named the expectation propagation algorithm (EPA) for SCMA. Mainly, the EPA-SCMA solves the complexity problem of MPA-SCMA and enables the implementation of SCMA in massive MU-MIMO systems. For instance, the EPA-SCMA also enables the implemantation of SCMA in the next generation wireless systems. We further show that the EPA can achieve the optimal detection performance as the numbers of transmit and receive antennas grow. We also demonstrate that a rotation design in SCMA codebook is unnecessary, which is quite rather different from the general assumption
IMPLEMENTASI METODE ANFIS-MINKOWSKI UNTUK IDENTIFIKASI BIOMETRIK IRIS MATA MENGGUNAKAN IMAGE PROCESSING Ruth Astari Anindita; Onny Setyawati; Rahmadwati Rahmadwati
Network Engineering Research Operation Vol 3, No 1 (2017): NERO
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (844.787 KB) | DOI: 10.21107/nero.v3i1.70

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