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Analisis TCP Cubic dan Simulasi untuk Menentukan Parameter Congestion Window dan Throughput Optimal pada Jaringan Nirkabel Ad Hoc Ary Firnanda; Teuku Yuliar Arif; Syahrial Syahrial
Jurnal Rekayasa Elektrika Vol 13, No 2 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.865 KB) | DOI: 10.17529/jre.v13i2.4874

Abstract

Ad hoc wireless network performance often declines caused the onset of congestion on the process of sending data. TCP Congestion Control used to solve these problems. TCP Cubic is one variant TCP Congestion Control. This research was conducted with the test and compare between variable value b=0.2 with the value of the variable b to be used in ad hoc wireless networks. This research was conducted with the experimental method using network simulation software NS-3. The results showed that the value of variable b is the right on ad hoc wireless network with packet loss by 5% to generate optimal congestion window max is b=0.5 and the average throughput optimal is b=0.1
Kombinasi Waktu Sinkronisasi dan Nilai Salt untuk Peningkatan Keamanan pada Single Sign-On Rizal Munadi; Zuhar Musliyana; Teuku Yuliar Arif; Afdhal; Syahrial
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.358 KB)

Abstract

Single sign-on (SSO) is a session authentication process that allows a user to login by using user registered identity and password in order to access appropriate applications. The authentication process takes the user in to login for all the applications they have been given rights to and eliminates further prompts when they switch applications during a particular session. Its implementation will provide a reduction of password burden to access many applications for every login process. Ease of access through a single account needs to be addressed carefully to ensure the authentication credentials that are not scattered and known by others. Currently, there are several open source SSO authentication methods available. However, the use of existing authentication methods is still vulnerable to attack, such as Man-In-The-Middle. In this study, SSO authentication algorithm using One-Time Password (OTP) is proposed using a combination of time synchronization and salt value. These combinations are used to verify user session while accessing any application with SSO mechanism. The results show that the proposed OTP algorithm can handle SSO authentication process in good fashion and also protect from Man-In-The-Middle Attack.
Decision tree method to classify the electroencephalography-based emotion data Teuku Muhammad Mirza Keumala; Melinda Melinda; Syahrial Syahrial
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.750

Abstract

Electroencephalography (EEG) data contains recordings of brain signal activity divided into several channels with different impulse responses that can be used to detect human emotions. In classifying emotions, EEG data needs to be parsed or signal processed into values ​​that can help recognize emotions. Research related to electroencephalography has been carried out previously and has experienced success using the Fuzzy C-Means, Multiple Discriminant Analysis, and Deep Neural Network methods. This study was conducted to classify human emotions from electroencephalography data on 10 participants. Each participant carried out 40 trials of testing using the Power Spectral Density (PSD) and Discrete Wavelet Transform (DWT) methods at the initial stage of classification and the Decision Tree method as the final method that can improve the accuracy of the two methods at the initial stage of classification. The results of this study were the finding of 2 participants (3 trials) who were unmatched from a total of 10 participants (400 trials), which were analyzed using the decision tree method. The decision tree method can correct this error and increase the classification result to 100%. The DWT method is used as a reference in the classification of emotions, considering that the DWT method has an output of arousal and valance values ​​. In contrast, the PSD method only has a combined output.
Analisis TCP Cubic dan Simulasi untuk Menentukan Parameter Congestion Window dan Throughput Optimal pada Jaringan Nirkabel Ad Hoc Ary Firnanda; Teuku Yuliar Arif; Syahrial Syahrial
Jurnal Rekayasa Elektrika Vol 13, No 2 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i2.4874

Abstract

Ad hoc wireless network performance often declines caused the onset of congestion on the process of sending data. TCP Congestion Control used to solve these problems. TCP Cubic is one variant TCP Congestion Control. This research was conducted with the test and compare between variable value b=0.2 with the value of the variable b to be used in ad hoc wireless networks. This research was conducted with the experimental method using network simulation software NS-3. The results showed that the value of variable b is the right on ad hoc wireless network with packet loss by 5% to generate optimal congestion window max is b=0.5 and the average throughput optimal is b=0.1
SIKAP GURU DAN PESERTA DIDIK TERHADAP PELAKSANAAN PRAKTIKUM KIMIA DI LABORATORIUM SMA SE- KOTA LHOKSEUMAWE Putri Ramadhani; Syahrial Syahrial
Jurnal Ilmiah Mahasiswa Pendidikan Kimia Vol 7, No 2: JIMPK Juli-Desember 2022
Publisher : Universitas Syiah Kuala

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Abstract

Metode pembelajaran yang ditekankan pada kurikulum 2013 adalah metode pembelajaran praktikum. Pelaksanaan praktikum dapat berlangsung dengan maksimal apabila sarana dan prasarana di laboratorium memadai dan sesuai dengan standar yang telah ditentukan. Selain itu sikap guru dan peserta didik juga sangat berpengaruh untuk menunjang pelajaran praktikum. Sikap teliti, disiplin dan bertanggung jawab merupakan sikap dasar yang harus dimiliki oleh guru dan peserta didik agar tercapainya tujuan pembelajaran praktikum. Tujuan dalam penelitian ini adalah untuk mengetahui sikap guru dan peserta didik terhadap pelaksanaan praktikum kimia di SMA se-Kota Lhokseumawe. Penelitian ini dilakukan melalui jenis penelitian survei dengan metode deskriptif. Penelitian ini melibatkan 9 sekolah dengan total guru sebanyak 21 orang dan 90 peserta didik. Data penelitian dikumpulkan melalui observasi sekolah, kuesioner sikap guru dan peserta didik. Hasil penelitian menunjukkan bahwa 6 sekolah di kota lhokseumawe sudah memeliki fasilitas laboratorium kimia yang memadai dan 3 lainnya masih dalam proses perbaikan. Kuesioner sikap guru yang meninjau sikap teliti, disiplin dan bertanggung jawab secara keseluruhan menampilkan hasil jumlah data keseluruhan lebih besar dari kuartil 3 (Q3) dan lebih kecil dari skor maksimal yaitu 1092 1266 1365. Dalam kondisi ini maka sikap guru menunjukkan sikap positif terhadap pelaksanaan praktikum. Sama halnya dengan hasil yang diperoleh dari kuesioner peserta didik yaitu Q3 X skor maksimal yaitu 4320 4984 5400 yang menunjukkan sikap positif terhadap pelaksanan praktikum. Maka dalam kondisi seperti ini, pelaksanaan praktikum di SMA Se Kota Lhokseumawe berlangsung dengan baik.Kata Kunci: sikap, guru, peserta didik, laboratorium, praktikum
Application of the Savitzky-Golay filter in multi-spectral signal processing Syahrial Syahrial; Melinda Melinda; Junidar Junidar; Safrizal Razali; Zulhelmi Zulhelmi
Sriwijaya Electrical and Computer Engineering Journal Vol. 1 No. 1 (2024): Sriwijaya Electrical and Computer Engineering Journal
Publisher : Control and Computational Intelligent System (CoCIS) Research Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62420/selco.v1i1.5

Abstract

Multi-spectral signals are the result of the interaction between electromagnetic energy and the test material, which is then displayed by the signal fluctuation pattern of the test material. Signal fluctuations are inaccuracies in the peak amplitude of a signal caused by noise in the data. This fluctuation pattern reflects the properties of the test material, especially in this case H2O. To overcome this problem, it is necessary to use the right filter to smooth the signal and reduce the noise in the data so that the fluctuation pattern obtained is clearer and more accurate. This research involves the segmentation of HF fluctuation patterns, followed by the application of a Savitzky-Golay filter for signal smoothing. Signal quality is assessed objectively by calculating the Signal to Noise Ratio (SNR) and Mean Square Error (MSE). The research results show that the Savitzky-Golay filter succeeded in reducing noise and producing clearer fluctuation patterns. The SNR value varies, with the largest value reaching 16.6146 dB, and the smallest value being 3.0171 dB. This research contributes to a new method, namely the Savitzky-Golay adaptive filter, to identify multi-spectral signal fluctuation patterns more effectively, thereby enabling more accurate identification of fluctuation patterns. Apart from that, this research also provides insight into the characteristics of H2O which can be identified through fluctuation patterns, especially in certain segments with high amplitude. This method has potential for applications in various fields, especially in precise multi-spectral signal analysis.
Dual-Domain Temporal–Spatial Denoising Approach for Autism Spectrum Disorder EEG Signals Based on Stationary Wavelet Transform and SPHARA Cut Siti Azola Syiva; Melinda Melinda; Syahrial Syahrial; Imam Fathur Rahman; Souvik Das; M. Ary Heryanto
Journal of Computing Theories and Applications Vol. 3 No. 4 (2026): JCTA 3(4) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.15875

Abstract

Electroencephalography (EEG) signals are highly susceptible to noise and artifacts, which can degrade analysis accuracy, particularly in Autism Spectrum Disorder (ASD) studies. Therefore, effective preprocessing is required to improve signal quality prior to further analysis. This study proposes an integrated EEG preprocessing pipeline that combines a Finite Impulse Response (FIR) band-pass filter (0.5–70 Hz) with notch filtering and detrending, followed by temporal denoising using the Stationary Wavelet Transform (SWT) with the Daubechies 4 mother wavelet and spatial filtering based on SPHARA. This dual-domain approach is designed to address both temporal and spatial noise in multichannel EEG signals. Experimental results demonstrate that the proposed FIR combined with SWT and SPHARA pipeline consistently outperforms single-domain preprocessing methods, achieving a maximum Signal-to-Noise Ratio (SNR) of 31.93 dB. The proposed method also produces the lowest Mean Absolute Error (MAE) (16.81 µV) and Standard Deviation (SD) (0.75 µV), indicating high signal stability with minimal amplitude distortion. Root Mean Square Error (RMSE) values remain stable within the range of 29.5–592.3 µV, with a minimum RMSE of 29.5 µV, demonstrating effective noise suppression while preserving signal energy. These results confirm that integrating temporal and spatial preprocessing significantly improves EEG signal quality and supports more reliable EEG analysis for ASD-related studies.
Comparison Of Machine Learning Algorithms For Rice Production Prediction Abdul Karim; Yuwaldi Away; Syahrial; Roslidar; Jeperson Hutahaean; William Ramdhan; Yessica Siagian
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7453

Abstract

Rice production forecasting plays an important role in supporting future agricultural planning, food supply management, and food security. Accurate yield prediction allows governments and farmers to estimate production outcomes and develop appropriate strategies to maintain stable food availability.This study addresses this gap by comparing four regression-based machine learning models: Random Forest, XGBoost, Support Vector Regression (SVR), and Artificial Neural Network (ANN). All models were trained and tested using the same dataset to ensure a fair evaluation. Model performance was measured using the coefficient of determination (R²). The results show that Random Forest achieved the best performance (R² = 0.963), followed by XGBoost (R² = 0.959). In contrast, SVR (R² = -0.064) and ANN (R² = -2.417) performed poorly, indicating limited predictive capability. Overall, these findings suggest that ensemble-based methods, particularly Random Forest and XGBoost, are more reliable and effective for rice production forecasting compared to SVR and ANN.
Penyuluhan Pemanfaatan Parental Control untuk Internet Ramah Anak di Posyandu Desa Labuy Aceh Besar Ernita Dewi Meutia; Al Bahri Al Bahri; Syahrial Syahrial; Fahri Heltha; Risdaneva Risdaneva
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 2, No 1 (2025)
Publisher : Universitas Syiah Kuala

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Abstract

AbstrakTingginya penetrasi telepon pintar di Indonesia, yang mencapai 194,26 juta pengguna atau sekitar 89% dari total populasi, berdampak langsung pada meningkatnya akses terhadap internet, termasuk oleh anak-anak. Sayangnya, tingginya akses ini belum diimbangi dengan regulasi batas usia maupun kesadaran orang tua terhadap dampak negatif konten digital yang tidak layak, seperti kekerasan, pornografi, dan ujaran kebencian. Untuk mengatasi permasalahan tersebut, tim pengabdi melakukan kegiatan penyuluhan kepada orang tua di Posyandu Desa Labuy, Kabupaten Aceh Besar, mengenai dampak negatif internet serta pelatihan penggunaan aplikasi parental control untuk menyaring konten dan membatasi akses anak terhadap internet. Kegiatan ini bertujuan meningkatkan peran serta orang tua dalam mengawasi penggunaan gawai oleh anak, serta membentuk lingkungan digital yang lebih aman dan ramah anak. Kata kunci: pengabdian masyarakat, parental control, konten internetAbstract The high penetration of smartphones in Indonesia, which has reached 194.26 million users or around 89% of the total population, has had a direct impact on increasing access to the internet, including by children. Unfortunately, this high access has not been balanced by age limit regulations or parental awareness of the negative impacts of inappropriate digital content, such as violence, pornography, and hate speech. To overcome this problem, the community service team conducted outreach activities for parents at the Labuy Village Integrated Health Post, Aceh Besar Regency, regarding the negative impacts of the internet as well as training in the use of parental control applications to filter content and limit children's access to the internet. This activity aims to increase the role of parents in supervising their children's use of gadgets, as well as creating a safer and more child-friendly digital environment.Keywords: community service, parental control, internet content