Article Per Year (5 Year)
p-Index From 2021 - 2026
3.461
P-Index
This Author published in this journals
All Journal Jurnal EECCIS Jurnal Teknologi Elektro Techne : Jurnal Ilmiah Elektroteknika Jurnal Teknik Elektro dan Komputer TRIAC Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal of Electrical Engineering and Computer (JEECOM) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) SinarFe7 Jurnal Penelitian Journal of Mechanical and Electrical Technology Blend Sains Jurnal Teknik Fuse-teknik Elektro Jurnal Informatika dan Teknik Elektro Emitor: Jurnal Teknik Elektro
Wahyu Dirgantara
Departement Of Electrical Engineering, Faculty Of Engineering, University Of Merdeka Malang Jl. Terusan Raya Dieng No. 62-64 Malang, 65146
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal EECCIS

 1 
Sistem Peringatan Dini untuk Deteksi Kebakaran pada Kebocoran Gas Menggunakan Fuzzy Logic Control Wahyu Tara Dirgantara; Hadi Suyono; Onny Setyawati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 11 No. 1 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1034.568 KB) | DOI: 10.21776/jeeccis.v11i1.402

Abstract

Abstract—Fire accidents, due to the leakage of LPG gasses, should be avoided; therefore a systsem that can anticipate the accident is necessary. A system consisting of two sensors and three actuators is designed. MQ5 sensor served as a gas sensor to detect gas concentration of 200 – 10000 ppm. LM35 sensor served as a temperature sensor in range of -55–140. Output system consisted of a buzzer and two fans. System  measurement is performed by modeling a cube for three conditions. The results show that the system created using fuzzy logic control can work on three conditions: 45 ppm is detected at 30.49 (no leakage gas), 70 ppm is detected by increasing temperature up to 31.49 (no leakage gas), leakage gas of 1200 ppm caused the decreased of the temperature to 28.13.
Deteksi Sleep Apnea Menggunakan Metode Decision Tree dengan Fitur Statistik RR Interval Subairi, Subairi; Permatasari, Delila Cahya; Dirgantara, Wahyu; Surya Akbar Gumilang, Yandhika; Zahroya J.M.F. , Isvine; Haitsam, Haitsam
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 16 No. 3 (2022)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v16i3.1603

Abstract

Obstructive sleep apnea (OSA) atau sleep apnea adalah gangguan tidur langka yang memerlukan penggunaan sinyal aktivitas listrik, biasa disebut sebagai elektrogram (ECG), untuk dideteksi. Sinyal ECG terdiri dari bentuk gelombang, durasi, ritme bentuk gelombang, dan orientasi sinyal, yang dapat digunakan ahli jantung untuk mengevaluasi kondisi jantung pasien. Tujuan dari penelitian ini adalah untuk mendeteksi sleep apnea menggunakan dataset ECG yang ada. Sistem pendeteksi sleep apnea ini diharapkan mampu mendeteksi gangguan pada pasien secara dini dan membantu dokter mendiagnosis pasien secara lebih akurat dan cepat sehingga dapat memberikan penanganan lebih lanjut. Penelitian ini mengusulkan bagaimana mendeteksi sleep apnea dengan perangkat lunak dengan menggunakan parameter statistik dari sinyal interval RR dalam dataset sinyal ECG dan kemudian mengklasifikasikannya menggunakan metode DecisionTree. Proses deteksi sleep apnea yang peneliti usulkan menggunakan interval RR dan proses decision tree memiliki tingkat akurasi 99,5%.
Co-Authors Agus Suprapto Aloysius Gonzaga Lai Boro Amin, Muchammad Fahrul Andreas Mario Yamlean Andreas Mario Yamlean Anggara Trisna Nugraha Ardiansyah, Nur Ficky Aries Boedi Setiawan Arifuddin, Rahman Arya Sobhita, Rama Awi, Fransiskus Belicoy Benyamin, Sam Darto, Darto Delila Cahya Permatasari Dicky Kurniawan Dwi Arman Prasetya Eko Wahyu Prasetyo Elta Sonalitha Elta Sonalitha Elta Sonalitha Fairuz Iqbal Maulana Fathoni, Moh. Alif Firdaus Firdaus Hadi Suyono Haitsam, Haitsam Hari Fitria Windi Hastatimur, Dinar Wulan Hidayatulail, Basitha Febrinda Hidayatulloh, Fajar Suryansyah Iqbal Maulana, Fairuz Jehamat, Caecilia E. Alfita Kurniawan, Dicky Minggu, Desyderius Nachrowie Nachrowie Nachrowie Nachrowie Nachrowie, Nachrowie Nambo Hidetaka Nara Agata Abiwindraya Novaliandra, Yuki Onny Setyawati Permatasari, Delila Cahya Putri Intan Hafsari1, Rizky Rabi, Abd Rabi’, Abdur Rahman Arifuddin Romadhon, Rifki Hari Sam Benyamin Sari, Resi Dewi Jayanti Kartika Sirait, Millenia Zwi Sabatina Subairi Subairi Sucahyo, Febrianto Eko Sumarahinsih, Andrijani Suriyanto, M Wahyuni, Dinar H S Yamlean, Andreas Mario Yandhika Surya Akbar Gumilang Yatipai, Maksi Yohanes U D Sipul Yulius Malo Zahroya J.M.F. , Isvine