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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Ganendra: Majalah IPTEK Nuklir Jurnal Teknik Elektro Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Jurnal EECCIS Teknofisika Seminar Nasional Informatika (SEMNASIF) Jurnal Kajian Informasi & Perpustakaan JURNAL NASIONAL TEKNIK ELEKTRO Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknik Informatika (JUTIF) Warta LPM
Nazrul Effendy
Departemen Teknik Nuklir Dan Teknik Fisika Fakultas Teknik, Universitas Gadjah Mada
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Physics Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Forest quality assessment based on bird sound recognition using convolutional neural networks Nazrul Effendy; Didi Ruhyadi; Rizky Pratama; Dana Fatadilla Rabba; Ananda Fathunnisa Aulia; Anugrah Yuwan Atmadja
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp4235-4242

Abstract

Deforestation in Indonesia is in a status that is quite alarming. From year to year, deforestation is still happening. The decline in fauna and the diminishing biodiversity are greatly affected by deforestation. This paper proposes a bioacoustics-based forest quality assessment tool using Nvidia Jetson Nano and convolutional neural networks (CNN). The device, named GamaDet, is a portable physical product based on the microprocessor and equipped with a microphone to record the sounds of birds in the forest and display the results of their analysis. In addition, a Google Collaboratorybased GamaNet digital product is also proposed. GamaNet requires forest recording audio files to be further analyzed into a forest quality index. Testing the forest recording for 60 seconds at an arboretum forest showed that both products could work well. The GamaDet takes 370 seconds, while the GamaNet takes 70 seconds to process the audio data into a forest quality index and a list of detected birds.
Radial basis network estimator of oxygen content in the flue gas of debutanizer reboiler Shafanda Nabil Sembodo; Nazrul Effendy; Kenny Dwiantoro; Nidlom Muddin
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp3044-3050

Abstract

The energy efficiency in the debutanizer reboiler combustion can be monitored from the oxygen content of the flue gas of the reboiler. The measurement of the oxygen content can be conducted in situ using an oxygen sensor. However, soot that may appear around the sensor due to the combustion process in the debutanizer reboiler can obstruct the sensor’s function. In-situ redundancy sensors’ unavailability is a significant problem when the sensor is damaged, so measures must be made directly by workers using portable devices. On the other hand, worker safety is a primary concern when working in high-risk work areas. In this paper, we propose a software-based measurement or soft sensor to overcome the problems. The radial basis function network model makes soft sensors adapt to data updates because of their advantage as a universal approximator. The estimation of oxygen content with a soft sensor has been successfully carried out. The soft sensor generates an estimated mean square error of 0.216% with a standard deviation of 0.0242%. Stochastics gradient descent algorithm with momentum acceleration and dimension reduction using principal component analysis successfully improves the soft sensors’ performance.
Co-Authors Abiyu Fadhilah, Muhammad Zhafran Abrar, Haidar Alghazian Adnan Syarafi Ashfahani Agus Arif Al Birru, Muhammad Ismail Alfa Antariksa Ananda Dwi Mahendra Ananda Fathunnisa Aulia Anugrah Yuwan Atmadja Arditya Yulinggar Awang Noor Indra Wardana Beta M.G.S Birru, Muhammad Ismail Al Dana Fatadilla Rabba Dewi, Wulan May Kusuma Didi Ruhyadi Eko David Kurniawan Endro Basuki Faisal Budiman Faisal, Amir Fajar Sidik Permana Faridah Faridah Faridah Faridah Febry Wikatmono Febry Wikatmono Fikri Nur Muhammad I Nym Kusuma Wardana I Nyoman K.Wardana Intan Putri K Jihan Dhiya Faridah Kenny Dwiantoro Khoerul Anwar Kraton, Danang Wahyu Lebukan, Dirga Eka Putra M. Haekal Hasan M. Heikal Hasan Masrul Solichin Maulana Zein, Rhendiya Muhammad Agha Nandan Suteresna Nidlom Muddin Nopriadi Nopriadi Nor Agny Susetyo Utami Prihanto, Surya R Mochammad Affan Bagus Satria Rachmawati, Isti Dian Ridwan Herdiawan Rizky Pratama Rohaya, Siti Satria, R Mochammad Affan Bagus Shafanda Nabil Sembodo Sihana Sihana Sihana Sihana Singgih I Kurniawan Solekhah, Tiara Yosianti Sri Sadono Subagja Subagja Syifaun Nafisah Taufik Taufik Teuku Lukman Nur Hakim Tsanya, Nukman Tsaqib Vandy Achmad Yulianto Wardana, A.N.I. Wardaya, Tiar Candra