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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknik Elektro Lembaran Ilmu Kependidikan Media Ilmu Keolahragaan Indonesia Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Sainteknol : Jurnal Sains dan Teknologi ELINVO (Electronics, Informatics, and Vocational Education) CESS (Journal of Computer Engineering, System and Science) Edu Komputika Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Cyber Security dan Forensik Digital (CSFD) Jurnal Teknik Informatika (JUTIF) Jurnal Energi Baru dan Terbarukan Electron: Jurnal Ilmiah Teknik Elektro Jurnal Rekayasa elektrika Jurnal Pengabdian Dinamika
Feddy Setio Pribadi
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Nursing Public Health Social Sciences Veterinary

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Pengembangan Intelligent Electrocardiograph Portable untuk Pemantauan Detak Jantung: Systematic Literature Review Hardi, Septian Akbar Noor Wahyu; Aviando, Rizqi; Pribadi, Feddy Setio; Aprilianto, Rizky Ajie
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.59003

Abstract

Kesehatan jantung menjadi faktor penting yang harus diperhatikan, terutama pada orang yang melakukan aktivitas fisik tinggi, seperti atlet. Untuk meningkatkan identifikasi dini penyakit jantung dan mengurangi bahaya kematian mendadak, perangkat elektrokardiogram (EKG) cerdas portabel telah banyak diusulkan untuk mendeteksi aktivitas jantung secara real-time. Penelitian ini bertujuan untuk memberikan informasi tentang klasifikasi sinyal jantung dengan memanfaatkan Filter Infinite Impulse Response (IIR) untuk menghilangkan noise sinyal dan Random Forest yang berguna untuk mengkategorikan masalah jantung secara cepat dan akurat. Referensi yang dirujuk, dipetakan berdasarkan sistematic literature review menggunakan metode preferred reporting items for systematic reviews and meta-analyses (PRISMA). Berdasarkan hasil ulasan yang telah dilakukan, terbukti EKG portable dengan filter IIR terbukti mampu membersihkan sinyal yang didukung dengan algoritma Random Forest untuk klasifikasi sehingga menghasilkan tingkat akurasi yang baik.
Soybean Collect Recommender Based on Distance and Productivity Cluster Using K-means Clustering and Simple Addictive Weighting Method Ningtyas, Mega Wahyu; Pribadi, Feddy Setio
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.53208

Abstract

Soybeans are an essential agricultural product that is one of the primary food sources in Indonesia, such as tempeh, tofu, soy milk, soy sauce, and other preparations. However, production yields, harvested land area, and soybean productivity in each district or city in Central Java Province vary widely. Differences in soybean productivity in each area are due to production factors such as area, use of fertilizers, seeds, and labor. This study tries to provide recommendations for soybean harvesting based on the distance and productivity of an area using K-means clustering and the simple addictive weighting method. In the Central Java Province, 35 regions will be divided into four clusters: the first with high productivity, the second with medium productivity; the third with low productivity; and the fourth with very low productivity. Additionally, based on the fourth cluster clustering results, it will be advised to take soybeans from other clusters by taking the closest distance and cluster members into account. According to the research, four clusters have formed: the first has five members, the second has fourteen, the third has nine, and the fourth has seven. The fourth cluster, which consists of seven members who do not grow soybeans, is advised to buy soybeans from the following regions: Kendal Regency, Klaten Regency, Magelang Regency, Batang Regency, and Brebes Regency.
Co-Authors Adhistya Erna Permanasari Adiastoro, Mahendra Agus Suryanto Akbar, Dawam Muhammad Akbar, Dawam Muhammad Al Kindi, Bilal Alam, Mohammad Mahruf Alfian Nur Rahmad, Alfian Nur Alkindi, Muhammad Faizal Ananda, Briska Putra Andriano, Niko Andriyani, Ririn Anggraini Mulwinda Aprilianto, Rizky Ajie Arundaya, Adil Arvina Rizqi Nurul’aini Ati Zuhrotal Afifah, Ning Imas Aviando, Rizqi Awang Harizka, Awang Daniel Happy Putra Djuniadi , Djuniadi Djuniadi Djuniadi Eko Supraptono Fahreza, Rizqy Achmad Faqih, Faiq Mananul Febriantika, Febriantika Hardi, Septian Akbar Noor Wahyu Hesti Wahyu Nugroho, Hesti Wahyu Hirroe Wijaya Ani Kesuma, Hirroe Wijaya Ani Iqbal Iqbal Irwan Irwan Karnisih, Karnisih Kitnas Dian Purwitasari, Kitnas Dian Ningtyas, Mega Wahyu Nurul'aini, Arvina Rizqi Octavianti Paramita Paramita, Octavianti Pongoh, Arthur Gregorius Prima Astuti Handayani Putri, Melinia Rahmahani Rizky Ajie Aprilianto Rusiyanto Rusiyanto, Rusiyanto Samsudin Anis Setiawan Sariyoga, Setiawan Sri Haryono Sri Haryono Sri Sukamta Sri Suning Kusumawardani Sunarno Sunarno Suryanto, Agus Ulfah Mediaty Arief Uswatun Hasanah Wiujianna, Atri Yanuar Arif Pramana