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All Journal Jurnal Teknologi Elektro JHP17 (Jurnal Hasil Penelitian) INTEGER: Journal of Information Technology Jurnal Elementer (Elektro dan Mesin Terapan) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Elsains : Jurnal Elektro Jurnal Riset Rekayasa Elektro Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang BERNAS: Jurnal Pengabdian Kepada Masyarakat SinarFe7 Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Masyarakat Indonesia Jurnal Pengabdian Masyarakat Bhinneka Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Aris Heri Andriawan, Aris Heri
Universitas 17 Agustus 1945 Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Penggunaan Citra sebagai Penyuluhan Masyarakat yang Berada di Rawan Terjadi Bencana Tanah Longsor Ridho’i, Ahmad; Sidiq, Nujhad; Sarya, Gede; Andriawan, Aris Heri
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 1 (2025): Bulan September
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i1.333

Abstract

Landslides are a serious threat in various regions of Indonesia, causing material losses and casualties. Communities residing in landslide-prone areas often have a low level of understanding and awareness regarding disaster risks and their mitigation. Therefore, this community service aims to implement and evaluate the effectiveness of using imagery as an innovative and easily understandable outreach medium for communities in landslide-prone areas. Conventional, verbally-oriented outreach methods are often less effective in conveying technical information to the general public, especially given varying literacy levels. This community service adopts a descriptive qualitative approach with case studies in several villages in Ponorogo, East Java, identified as landslide-prone areas. Data was collected through participant observation, in-depth interviews with community representatives and village officials, and Focus Group Discussions (FGDs). The imagery used in this service includes aerial photographs, disaster-prone maps, and visual illustrations of landslide mechanisms, early warning signs, and relevant evacuation and mitigation steps. These images were then integrated into interactive outreach materials and presented in engaging formats, such as infographics, posters, and visual presentations.
Peningkatan Kualitas Sinyal Elektrokardiogram dengan Filter Adaptif Recursive Least Squares Santoso, Santoso; Hartayu, Ratna; Slamet, Puji; Andriawan, Aris Heri; Setyadjit, Kukuh; Cahyono, Mochammad Irfan; Jabaruddin, Abdul
INTEGER: Journal of Information Technology Vol 10, No 2 (2025): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v10i2.7775

Abstract

This paper presents a comparative analysis of two adaptive filtering algorithms, namely Least Mean Square (LMS) and Recursive Least Square (RLS), for denoising electrocardiogram (EKG) signals contaminated with Gaussian noise. A five-second EKG signal was extracted from a PhysioNet database and artificially corrupted by additive white Gaussian noise. The noisy signal was then processed using both LMS and RLS filters, where parameter tuning was applied to each algorithm to optimize performance. The evaluation metrics used in this study include Mean Squared Error (MSE) and Signal-to-Noise Ratio (SNR). Experimental results demonstrate that the LMS filter achieved its best performance at a learning rate (μ) of 0.01, resulting in an MSE of 0.1218 and an SNR of 4.18 dB. In contrast, the RLS filter provided superior results with a forgetting factor (λ) of 0.99, achieving an MSE of 0.1179 and an SNR of 4.32 dB. These findings indicate that while RLS outperforms LMS in terms of signal recovery accuracy, LMS remains advantageous in computational simplicity and is more suitable for real-time applications. The comparative analysis suggests that the choice between LMS and RLS should consider the trade-off between denoising performance and computational efficiency, especially in portable or embedded biomedical devices.
Co-Authors Al Mursyid, M.Hawarul Aini Angga Dwi Atmoko Ayusta Lukita Wardani Balok Hariadi, Balok Cahyono, Mochammad Irfan Dheny Jatmiko, Dheny Faturrochman, Muhammad Reza Gede Sarya, Gede Guntara, Iqbal Hariz, Muhammad Amsyaril Hartayu, Ratna Imam Suri Tauladan Ivan Maulana, Ade Izzah Aula Wardah Jabaruddin, Abdul Khomariah, Nuril Esti Kukuh Setyadjit, Kukuh Mangkurat, Brandon Bayu Masrunik, Endah Muhammad, Reyhan Ihsan Prenata, Giovanni Dimas Puji Slamet Puji Slamet, Puji Reza Sarwo Widagdo Ridho’i, Ahmad Ridho’i, Ahmad Santoso SANTOSO SANTOSO Shidiq, Nujhad Sidiq, Nujhad Stiadjit, Kukuh Subekti Yuliananda, Subekti Sunarto, Rizqi Kusumawardana Tamtama, Yusuf W, Izzah Aula Wahyuono, Sri Wardah, Izzah Aula