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All Journal JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Journal of Physics: Theories and Applications INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Artono Dwijo Sutomo
Departement Of Physics, Faculty Of Maths And Natural Sciences, Universitas Sebelas Maret, Jl. Ir. SUtami 36A, Kentingan, Jebres, Surakarta 57126, Indonesia
Astronomy Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Physics

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Model Deteksi Netting pada Permainan Bola Voli Esti Nurani; Artono Dwijo Sutomo; Nuryani Nuryani
JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Vol 3, No 1 (2018)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (108.454 KB) | DOI: 10.25273/jupiter.v3i1.2382

Abstract

Pemodelan sistem deteksi netting pada permainan bola voli telah dilaksanakan. Sistem ini bahan utamanya yaitu copper foil, yang digunakan sebagai net warna putih. Prinsip kerja dari sistem deteksi netting adalah mendeteksi sentuhan tangan dan menghitung nilai kapasitansi yang diperoleh dari sentuhan tersebut. Sistem dilengkapi dengan Arduino UNO untuk mengolah data kapasitansi copper foil dan sentuhan tangan. Sistem deteksi telah diuji dengan memvariasi resistor sehingga didapat nilai resistor tepat yang digunakan. Nilai resistor pada rangkaian sistem deteksi adalah 1M Ω. Nilai tersebut digunakan dalam rangkaian untuk menguji sistem deteksi dengan berbagai kondisi. Hasil pengujian sensor menunjukkan bahwa sistem deteksi tidak berpengaruh terhadap bola dan rambut. Nilai kapasitansi yang didapat dalam pengujian sistem deteksi digunakan untuk menentukan batas menyalakan LED. Nilai batas kapasitansi yaitu 1000 nF. Sistem deteksi telah diuji dan bekerja dengan baik.
The influence of AC driving current on magnetoimpedance in [Ni80Fe20/Cu]x/Cu/[Ni80Fe20/Cu]6-x multilayers Dian Afif Rusydan; Ismail Ismail; Artono Dwijo Sutomo; Utari Utari; Budi Purnama
Journal of Physics: Theories and Applications Vol 5, No 1 (2021): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v5i1.52259

Abstract

The phenomenon of magnetoimpedance in the multilayer configuration of [Ni80Fe20/Cu]x/Cu/[Ni80Fe20/Cu]6-x with x = 1, 2, and 3 has been successfully investigated. The electrodeposition method used for the multilayer film preparation on the meander pattered of Cu PCB. The obtained multilayer samples were evaluated the MI effect at room temperature with a frequency of 100 kHz. Here, the MI effects were evaluated for a variation of the AC driving current i.e. IAC = 4 mA, 8 mA, 12 mA, 16 mA, and 20 mA. The MI measurement results show that the multilayer x = 3 has the largest MI ratio and the multilayer with x = 1 was the smallest one. It is indicated that interlayer coupling contributes to the MI effect.  Whereas the skin depth also confirms to contribute the MI ratio that showed the MI ratio increase with the increase of the IAC.
Effect of multilayer structure parameters on magnetoimpedance ratio with low frequency measurements Vina Oktaria; Candra Tirta Putra; Artono Dwijo Sutomo; Utari Utari; Budi Purnama
Journal of Physics: Theories and Applications Vol 4, No 1 (2020): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v4i1.44694

Abstract

The magneto-impedance of the NiFe thin films is experimentally dependent on their structure. The multilayer structures of [NiFe/Cu]4 and [NiFe/Cu]2/Cu/[NiFe/Cu]2 on the meander structure PCB Cu substrate in this study were deposited using the electrodeposition method. The frequency was varied in order to determine its effect on the magneto-impedance ratio. The results of the magneto-impedance characterization measurement showed that the maximum MI ratio in the multilayer [NiFe/Cu]4 structure was 6.82% while in [NiFe/Cu]2/Cu/[NiFe/Cu]2 was 3.08% with a frequency of 100 kHz. The increase in the MI ratio in the low frequency range indicates that the MI ratio depends on the structure of the layer which is affected by the permeability of the magnetic material.
Deteksi Kantuk Menggunakan Jaringan Saraf Tiruan Radial Basis Function dan Particle Swarm Optimization dengan RR Interval Elektrokardiogram Ariefah Shalihah; Nuryani Nuryani; Artono Dwijo Sutomo
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 10, No 01 (2020): IJAP Volume 10 ISSUE 01 YEAR 2020
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (181.849 KB) | DOI: 10.13057/ijap.v10i01.39648

Abstract

Sistem deteksi kantuk dirancang menggunakan Elektrokardiogram (EKG) dengan Jaringan Saraf Tiruan Radial Basis Function dan Particle Swarm Optimization (JST RBF-PSO). Karolinska Sleepiness Scale (KSS) menjadi acuan tingkat kantuk yang dikelompokkan menjadi kelas terjaga dan kelas mengantuk. Sistem ini menggunakan algoritma Pan-Tomkins untuk menentukan interval RR dari EKG. Fitur yang digunakan adalah 15 parameter fitur statistik. Pelatihan dan pengujian data menggunakan JST RBF-PSO dengan metode validasi silang. PSO digunakan untuk mengoptimasi parameter utama JST RBF yaitu bobot, pusat dan lebar. Sistem deteksi kantuk ini diuji menggunakan DROZY Database. Hasil penelitian menunjukkan akurasi sistem ini pada segmentasi 40 detik, jumlah neuron 150 dan 15 fitur statistik sebesar 88,36%.
Pengembangan Sistem Deteksi Kantuk Menggunakan Pengklasifikasi Random Forest pada Sinyal Elektrokardiogram nuryani nuryani; Khoirun Nisak; Artono Dwijo Sutomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1253.633 KB) | DOI: 10.22146/jnteti.v10i3.1469

Abstract

Drowsiness is suggested as the most frequent factor in traffic and manufacture accidents. Therefore, a system which can early detect drowsiness is important for an effort to reduce accident number. This article presents a new method for drowsiness detection. The method uses electrocardiogram (ECG) and a Random Forest. Features of normal-to-normal interval (NNI) from ECG for the input of the detection system are investigated. The features include NNI characteristics in terms of time domain i.e the statictics of NNI, and in terms of frequency domain i.e. NNI signal characteristics in VLF until HF band. The level of drowsiness is categorized using Karolinska Sleepiness Scale (KSS) becoming two groups i.e. drowsy and awake. Classification algorithm used is the detection is Random Forest. In the Random Forest, the effect of the number of estimator and maximum feature to the detection performance is evaluated. The detection system is tested using data of drowsy study. The test show that the detection system performs 94.61%, 96.67% and 91.67% in terms of accuracy, sensitivity and specificity, respectively.
Co-Authors Ariefah Shalihah Budi Purnama Budi Purnama Candra Tirta Putra Dian Afif Rusydan Esti Nurani Ismail Ismail Khoirun Nisak Nuryani Nuryani Nuryani Nuryani nuryani nuryani Utari Utari Utari Utari Vina Oktaria