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Ekstraksi Ciri Epilepsi pada rekaman EEG berdasarkan ciri rata-rata, standardeviasi dan kurtosis Siswandari Noertjahjani; Aisyah Lahdji; Zainal Muttaqin; Yuriz Bakhtiar
Prosiding Seminar Nasional Unimus Vol 2 (2019): Tantangan Implementasi Hasil Riset Perguruan Tinggi untuk Industrialisasi
Publisher : Universitas Muhammadiyah Semarang

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Epilepsi didefinisikan sebagai suatu sindrom yang ditandai oleh gangguan fungsi otak yang bersifat sementara dan paroksismal, yang memberi manifestasi berupa gangguan, atau kehilangan kesadaran, gangguan motorik, sensorik, psikologik, dan sistem otonom, serta bersifat episodik. Penyakit epilepsi yang tidak ditangani segera dapat merusak otak. Pendukung diagnosis epilepsi adalah dengan menggunakan EEG. Untuk membedakan pola sinyal EEG epilepsi dan normal diperlukan suatu ciri untuk masing masing pola. Ciri yang akan dipakai untuk mewakili sinyal EEG berasal dari 3 ciri statistik yaitu rata-rata, standar deviasi dan kurtosis dengan 11 elektroda FP1 (Front Polar 1), FP2 (Front Polar 2), F7 (Frontal), F3, Fz, F4, F8, T3 (Temporal), T6, P3, P4 (Parietal 4).Hasil menunjukkan nilai standar deviasi pada penyandang epilepsi lebih tinggi dari pada ciri rata- rata dan kurtosis yaitu nilai tertinggi diatas 500. Kata Kunci : rata-rata, standar deviasi, kurtosis, epilepsi

Increasing the Efficiency of Electrical Load Calculations Using the Gauss-Seidel Method with Fuzzy Logic Hendriansyah, Hendriansyah; Siswandari, Noertjahjani; Aris, Kiswanto; Muhammad, Sam'an
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 8, No 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.24729

Improving the accuracy of electric load calculations is a significant task in power system analysis, particularly when dealing with fluctuating loads. Despite its simplicity, the Gauss-Seidel method has historically had trouble handling rapidly changing loads. This paper introduces a novel hybrid approach that increases load computation accuracy and efficiency by fusing fuzzy logic with the Gauss-Seidel method. Fuzzy logic is used in this method to forecast load changes based on previous and present data, which makes load adjustments more precise and faster. The results demonstrate how much better this hybrid technique is than the conventional ones, with accuracy rising from 60% to 84% and efficiency rising by 35%. This makes it an excellent choice for contemporary power systems

Analisis Komparatif Metode Gauss-Seidel dan Gauss-Jordan pada Rangkaian Penyearah Gelombang Penuh dengan Filter Kapasitor Hendriansyah, Hendriansyah; Andini, Rizka; Noertjahjani, Siswandari
Prosiding Seminar Nasional Unimus Vol 7 (2024): Transformasi Teknologi Menuju Indonesia Sehat dan Pencapaian Sustainable Development G
Publisher : Universitas Muhammadiyah Semarang

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Penelitian ini menganalisis performa rangkaian penyearah gelombang penuh dengan filter kapasitormenggunakan dua metode numerik: Gauss-Seidel dan Gauss-Jordan. Metode Gauss-Seidel yang bersifatiteratif dipilih karena kemampuannya untuk mencapai konvergensi dalam kondisi tertentu, sementarametode Gauss-Jordan menggunakan eliminasi langsung untuk solusi yang lebih cepat. Simulasi dilakukanuntuk mengevaluasi tegangan dan arus pada node rangkaian, dengan perbandingan hasil antara keduametode yang menunjukkan kelebihan dan kekurangan masing-masing. Hasil menunjukkan bahwa metodeGauss-Seidel lebih akurat pada iterasi lebih lanjut, dengan error relatif yang menurun hingga 0,79% padanode ??, yang mencerminkan pendekatan konvergensi yang baik.Kata Kunci: Penyearah Gelombang Penuh, Filter Kapasitor, Gauss-Seidel, Gauss-Jordan

Analysis of the Application of Linear Interpolation and Quadratic Interpolation in Electrical Distribution Performance Siswandari Noertjahjani; Syafiq Abdul Zaki; Aris Kiswanto
International Journal of Informatics and Computation Vol. 6 No. 2 (2024): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v6i2.84

The electricity distribution network is an important component that distributes electricity from substations to end consumers. Monitoring voltage across the network is critical, but direct measurement at all points is often impractical due to resource limitations. This research uses linear interpolation and quadratic interpolation to estimate stress at unmeasured points. Voltage measurement data at several points is used as a basis for interpolation. With the help of MATLAB, the voltage at unmeasured points can be estimated quickly and accurately. The results of the interpolation of distance on electricity consumption show that electricity consumption decreases as distance increases. At a distance of 5 km (Ds. Galih), electricity consumption was recorded at 1,237.5 kWh, while at a distance of 15 km (Ds. Triharjo) electricity consumption was reduced to 1,232.5 kWh. Furthermore, at a distance of 25 Km (Wungurejo District), electricity consumption was recorded at 1,227.5 kWh, and at a distance of 35 Km (Tejorejo District) electricity consumption decreased again to 1,222.5 kWh. This method enables more comprehensive monitoring of network performance, helps identify areas that require special attention, and supports decisions in network maintenance and repair. In conclusion, linear interpolation is an effective method for estimating voltages in electrical distribution networks, making an important contribution to improving the reliability and efficiency of electrical power distribution. Assists in monitoring and analyzing the performance of the electricity distribution network, thereby enabling more targeted maintenance and repair actions.

Analysis of Multi-Loop Electrical Circuits Using Gaussian Elimination and Gauss-Jordan Methods on MATLAB Platform Ibrahim, Maulana; Noertjahjani, Siswandari
MEDIA ELEKTRIKA Vol 18, No 1 (2025): Vol 18, No 1 (2025)
Publisher : PSRE UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/me.v18i1.18548

Multi-loop electrical circuit analysis represents a significant challenge in electrical engineering that requires solving complex linear equation systems. This research aims to evaluate the effectiveness of Gaussian Elimination and Gauss-Jordan methods in solving linear equation systems generated from multi-loop electrical circuit analysis using MATLAB platform. The study employs a descriptive quantitative approach by analyzing a 3-loop circuit consisting of six resistors and three voltage sources (V₁ = 8V, V₂ = 4V, V₃ = 12V). The application of Kirchhoff's laws generates a 3×3 linear equation system that is solved using both elimination methods. MATLAB implementation demonstrates that both methods produce identical solutions with current values I₁ = 2.695A, I₂ = 2.043A, and I₃ = 1.560A. The Gaussian Elimination method is more efficient for small to medium systems as it only requires forward elimination and back substitution, while the Gauss-Jordan method offers better solution transparency by forming a reduced row echelon form (RREF) matrix that allows direct solution reading without additional substitution processes. Implementation on the MATLAB platform provides significant advantages in terms of computational efficiency, calculation accuracy, and ease of result visualization. This research proves that both methods can be effectively applied to electrical circuits with high complexity levels and provides important contributions to the development of multi-loop electrical circuit analysis methods with systematic and structured numerical approaches.

Increasing the Efficiency of Electrical Load Calculations Using the Gauss-Seidel Method with Fuzzy Logic Hendriansyah, Hendriansyah; Siswandari, Noertjahjani; Aris, Kiswanto; Muhammad, Sam'an
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.24729

Improving the accuracy of electric load calculations is a significant task in power system analysis, particularly when dealing with fluctuating loads. Despite its simplicity, the Gauss-Seidel method has historically had trouble handling rapidly changing loads. This paper introduces a novel hybrid approach that increases load computation accuracy and efficiency by fusing fuzzy logic with the Gauss-Seidel method. Fuzzy logic is used in this method to forecast load changes based on previous and present data, which makes load adjustments more precise and faster. The results demonstrate how much better this hybrid technique is than the conventional ones, with accuracy rising from 60% to 84% and efficiency rising by 35%. This makes it an excellent choice for contemporary power systems

Representasi Distribusi Energi EEG Multi-Channel untuk Deteksi Aktivitas Epilepsi Menggunakan SVM Siswandari Noertjahjani; Ratih Sari Wardani; Aris Kiswanto
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13713

Deteksi epilepsi berbasis electroencephalogram (EEG) menghadapi tantangan berupa ketidakseimbangan kelas, data leakage, dan variasi sinyal antarpasien. Penelitian ini mengusulkan representasi distribusi energi EEG multikanal menggunakan Support Vector Machine (SVM) dengan kernel Radial Basis Function (RBF). Dataset CHB-MIT dipreproses dan disegmentasi menjadi window berdurasi 2 detik dengan overlap 25%. Setiap window direpresentasikan oleh 23 fitur energi domain waktu dan 23 fitur Power Spectral Density (PSD) metode Welch, sedangkan energy map berukuran 23 × 16 digunakan sebagai visualisasi distribusi energi kanal–waktu dan bukan sebagai masukan model. Evaluasi dilakukan menggunakan independent file-wise testing, grouped file-wise 5-fold cross-validation, dan patient-wise Leave-One-Subject-Out (LOSO). Untuk mencegah data leakage, pembagian data dilakukan pada tingkat file atau pasien sebelum segmentasi, sedangkan undersampling dan standardisasi hanya diterapkan pada data pelatihan. Hasil file-wise testing menunjukkan akurasi 93,247%, sensitivitas 98,387%, F1-score 42,958%, dan ROC-AUC 0,9880. Pada evaluasi LOSO, akurasi, sensitivitas, dan F1-score menurun menjadi 78,071%, 51,909%, dan 20,550%, yang menunjukkan adanya inter-subject variability. Uji Mann–Whitney menunjukkan perbedaan distribusi energi yang signifikan antara kelas seizure dan non-seizure (p = 2,1804 × 10⁻¹⁴⁰). Metode ini efektif untuk deteksi antarfile pada pasien yang sama, namun masih memerlukan validasi lintas pasien dan dataset eksternal untuk meningkatkan kemampuan generalisasi. Kata kunci: CHB-MIT, deteksi epilepsi, distribusi energi EEG, patient-wise LOSO, SVM.

RANCANG BANGUN PROTOTYPE ISOLATOR POLIMER RESIN EPOKSI DENGAN PENGISI (FILLER) RICE HUSK ASK (RHA) DAN SILANE MENGGUNAKAN SISTEM PENGUJIAN KEKUATAN ELEKTRIK DAN MEKANIK Pramana Djaya Samudra; Moh Toni Prasetyo; Siswandari Noertjahjani
MEDIA ELEKTRIKA Vol 18, No 2 (2025): Vol 18, No 2 (2025)
Publisher : PSRE UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/me.v18i2.19045

Pemakaian bahan isolasi pada jaringan transmisi atau distribusi tenaga listrik menjadi sangat penting di era globalisasi dan kemajuan saat ini. Karena jenis bahan isolasi mempengaruhi kekuatan isolator, maka pemilihan bahan isolasi haruslah tepat. Penelitian ini bertujuan untuk mengembangkan isolator polimer yang lebih efektif. Penelitian ini menggunakan bahan dasar DGEBA (Diglycidyl Eather of Bisphenol A) dan MPDA (Metaphenylene Diamine) dan pengisi (filler) silane dan abu sekam padi atau RHA (Rice Husk Ash). Kandungan silika yang ada pada abu sekam padi ini yaitu 75,24%. Pada penelitian ini menganalisis sudut kontak, arus bocor, dan kekuatan mekanik tarik isolator. Penelitian ini menggunakan IPT (Inclined Plane Tracking) yang sesuai dengan standart IEC 587:1984 dengan menggunakan kontaminan NH4Cl. Dari penelitian ini semakin besar pengisi (filler) pada isolator maka hasil sudut kontak isolator akan semakin besar. Pada hasil arus bocor semakin besar pengisi maka waktu penjejakan akan semakin tinggi. Pada hasil uji tarik menggunakan RTV 20 karena dari hasil uji arus bocor terbaik dengan waktu penjajakan paling lama. Hasil dari sudut kontak terbaik didapat pada RTV 20 dengan rata-rata 94,385°. Hasil waktu penjejakan polimer terbaik diperoleh RTV 20 dengan waktu 77.092 detik. Hasil tegangan tarik maksimal diperoleh RTV 20 sebesar 18.53 N/mm2 (MPa). Hasil dari penelitian ini menunjukkan nilai optimal pada seluruh pengujian didapat pada kode sampel RTV 20 dengan komposisi DGEBA dan MPDA 30 gram dan filler abu sekam padi dan silane 20 gram dikarenakan mempunyai arus penjejakan tertinggi.

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