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All Journal Jurnal Teknologi Elektro JHP17 (Jurnal Hasil Penelitian) Elsains : Jurnal Elektro Journal of Applied Electrical Engineering BERNAS: Jurnal Pengabdian Kepada Masyarakat Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Teknik Informatika dan Elektro (JURTIE) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal FORTECH
Puji Slamet, Puji
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Pengembangan Filter Adaptif Berbasis Least Mean Square untuk Pengurangan Noise pada Sinyal Elektrokardiogram Setyadjit, Kukuh; Santoso, Santoso; Hariz, Muhammad Amsyaril; Muhammad, Reyhan Ihsan; Slamet, Puji; Andriawan, Aris Heri; Hartayu, Ratna
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7539

Abstract

Electrocardiogram (ECG) signals are often affected by various types of noise, such as electromagnetic interference, patient body movement, and disturbances from other medical devices, which can degrade the signal quality and hinder accurate detection of heart disorders. This study aims to compare the performance of various filters in reducing noise in ECG signals, focusing on the Highpass-Lowpass filter and the Least Mean Square (LMS) adaptive filter. The testing was conducted using metrics such as Mean Squared Error (MSE), Signal-to-Noise Ratio (SNR), average amplitude, total error, and computation time. The experimental results show that the LMS filter provides the best results, with an MSE value of 0.0045, SNR of 21.5 dB, and total error of 4.78, indicating its ability to produce a cleaner signal compared to the Highpass-Lowpass filter. The LMS filter also demonstrates good computational efficiency, with a time of 0.102 seconds. With its ability to dynamically adjust filter parameters, the LMS filter proves effective in reducing both low and high-frequency noise in ECG signals. This study shows that the LMS filter can be effectively applied to process ECG signals contaminated by noise and contributes to improving the accuracy of heart disorder diagnosis
UPAYA PENINGKATAN PRODUKTIVITAS DAN PEMASARAN PRODUK FROZEN FOOD Herlina, Herlina; Slamet, Puji; Ramadhan, Gilang; Maulana Ibrahim, Khusnul
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 4 No. 5 (2019)
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Sari Nikmat’s Frozen food UKM located in Malang, East Java faces problems in the process of refining refined sugar that is included in frozen donut packaging products. The process of refining refined sugar so far has been carried out manually by workers using plastic spoons and put into plastic clips. The process makes the dose is not precise and more varied. The next problem, the packaging owned by Sari Nikmat’s Frozen food UKM is the same size while there are many requests from customers to make large sized packaging. The Sari Nikmat’s Frozen food UKM have not yet thought about how to design large sized packaging. In terms of marketing, Sari Nikmat UKM has several distributors, the majority of which are in housing, the UKM wants to make a banner design as a promotional medium for the availability of Sari Nikmat frozen food products at the distributor’s location. As a proposal for the completion of this Community Partnership Program is the procurement of digital scales that can increase the productivity and precision of packaging refined sugar, making packaging designs for larger sizes, and making banner designs for information on product availability to be installed at several distributors.
Analisa Keandalan Transformator Distribusi Menggunakan Weibull Distribution di Wilayah ULP Rungkut Kota Surabaya Adi Satrio, Aisahdan; Slamet, Puji; Sarwo Widagdo, Reza
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v2i2.203

Abstract

The reliability of the electric power system is very important in the continuity of the supply of electrical energy to the load. One of the important parts in the electric power system is the transformer. Maintaining the reliability of the transformer is an effort to make electrical energy channeled properly. For this reason, efforts are needed to evaluate whether the transformer is in good condition or not by using the Weibull distribution. By looking at the average failure rate, the MTTF value is used as a benchmark for reliability. It is based on the number of disturbances that cause the transformer to fail to operate. The results of the reliability analysis with the Weibull distribution on distribution transformers in the Rungkut ULP area during the time span from 2019, 2020, 2021 obtained an average failure rate of 18.321894% per year, with an MTTF value of 0.054579 per year, so the value reliability obtained 0.981. So according to Croanbach alpha, this value belongs to a very reliable level.
Co-Authors Adi Satrio, Aisahdan Aris Heri Andriawan, Aris Heri Balok Hariadi, Balok Basyarach, Niken Adriaty Gatut Budiono Gilang Ramadhan Hapzi Ali Hariz, Muhammad Amsyaril Hartayu, Ratna Herlina Herlina Imam Suri Tauladan Kukuh Setyadjit, Kukuh Lukito Afandy, Lukito Afandy Maulana Ibrahim, Khusnul Medika, Aditya Surya Muhammad, Reyhan Ihsan Noufanda, Yudo Farrel Prenata, Giovanni Dimas Reza Sarwo Widagdo ridhoi, achmad RR. Ella Evrita Hestiandari Santoso Sarwo Widagdo, Reza Wahid, Muhammad Nur Wijayanto, Viky