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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Media Statistika Jurnal Ilmiah Teknologi dan Rekayasa ELKHA : Jurnal Teknik Elektro Jurnal Teknologi Rekayasa Mesin Media Mesin: Majalah Teknik Mesin Jurnal Rekayasa Mesin Turbo : Jurnal Program Studi Teknik Mesin Journal of Energy, Mechanical, Material and Manufacturing Engineering JTERA (Jurnal Teknologi Rekayasa) Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Kreativitas PKM TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Infotekmesin Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Applied Sciences and Advanced Technology International Journal of Marine Engineering Innovation and Research Jurnal Bakti Masyarakat Indonesia Teknosains : Jurnal Sains,Teknologi dan Informatika jurnal syntax admiration Madaniya Journal of Community Development Logic : Jurnal Rancang Bangun Dan Teknologi Jurnal INFOTEL Jurnal Keamanan Nasional ABDIKOM Jurnal Polimesin
James Julian
Department Of Mechanical Engineering, Faculty Of Engineering, Universitas Pembangunan Nasional Veteran Jakarta
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Journal : Jurnal INFOTEL

 1 
Design of machine learning-based water quality prediction system with recursive feature elimination cross-validation James Julian; Annastya Bagas Dewantara; Fitri Wahyuni
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.977

Abstract

Lack of clean water has become a problem in the world, and it is estimated that by 2025 there will be 2.8 billion people who will experience a shortage of clean water. The high demand for clean water and the limited water sources with proper potency is one of the main reasons for the need for a device capable of measuring the potability level of water that is flexible to carry and does not require high costs in the manufacturing process. In this paper, the design of machine learning-based potability devices with recursive feature elimination with cross-validation (RFECV) is carried out as a guide in making the design of a water potability detection system, and the results obtained from RFECV with the Random Forest (RF) algorithm have a higher accuracy value. 15.71% better than the RF model, 6.85% better than the Support Vector Machine (SVM) model, and 8.57% better than the Artificial Neural Network (ANN) model trained without RFECV. The water potability prediction system's design selection is based on feature elimination results in the RFECV process. It is based on a literature review on device selection. The proposed water potability detection system consists of ESP32 as the primary computing device, electrochemical spectroscopy-based Al/PET sensor to detect sulfate values with a sensitivity of 0.874 Ω/ppm, PH4502C as a pH measuring instrument with an accuracy of up to 98.10%, WD-35802-49 electrode. as a device for measuring hardness in water with a measurement range of 0.4 – 40,000 ppm, a total dissolved solids sensor to determine the solids content in water with an accuracy of up to 97.80%, as well as a carbon-based sensor for measuring chloramines with a reading capacity of 186 nA/ppm.
Co-Authors Achmad Zuchriadi Ade Fikri Fauzi Adhitama, Bima Rakha Adi Winarta, Adi Akmal, Reza Najmi Aldi Anggara, Rizki Anggara, Rizki Aldi Anggie Topan Wijaya Annastya Bagas Dewantara Anton Prabowo Armadani, Elvi Wijaya Armansyah Armansyah Armansyah Armansyah Armansyah Bagas Dewantara, Annastya Billad, Rayhan Fariansyah Budiarso Budiarso, Budiarso Bunga, Nely Toding Demo Putra Demo Putra Desta Sandya Prasvita Dewantara, Annastya Bagas Dwi Yulia Handayani Elvi Armadani Elvi Armadani Elvi Ermadani Faiz Daffa Ulhaq Farha, Auditya Fathin Madhudhu Fathin Muhammad Mahdhudhu Fauzi, Ade Fikri Ferdyanto Ferdyanto, Ferdyanto Firdaus, Talitha Fatiha Fitri Wahyuni Fitri Wahyuni Fitri Wahyuni Fitri Wahyuni Fourlando, Rainer Samuel Gunasti, Nabilah Dwi Hadinata, Tri Hapidzha, Putty Harinaldi . I Wayan Marlon Managi I Wayan, Marlon Managi Idris Marbawi Iskandar, Waridho Junaedi, Thomas Juri Saedon Kasih Prihantoro Lomo Mula Tua Lumbantoruan, Regina Lumbantoruan, Regina Natalindah Madhudhu, Fathin Muhammad Mahdhudhu, Fathin Muhammad Marbawi, Idris Miftahul Jannah Mirza Fauzan Lukiano Mufti Ahmad Fadilah Nandy Putra Naufal, Ridwan Daris Nisa, Rasya Aulia Nathania Nisa, Raysa Oktavia, Nana Triana Parker Stefan, Parker Patrick, Juan Prabowo, Anton Dwi Prakoso, Lukman Yudho Prasetyo, Eko Andi Purba, Riki Hendra Putty Fauthyda Zahra Hapidzha Ramadhani, Rifqi Rasya Aulia Nathania Nisa Reda Rizal Revan Difitro, Revan Ridwan Daris Naufal Rifqi Ramadhani Riki Hendra Purba Riki Purba Rivai, Mokhammad Bahtiar Rizki Aldi Anggara Rizki Aldi Anggara Rizki Anggara, Rizki Rudy Sutanto Saphira Anggraita Siswanto Sari, Rena Satria, Muhammad Fari Sedeq, Khalees Siswanto, Saphira Anggraita Toding Bunga, Nely Topan, Anggie Wijaya Tri Hadinata Tua, Lomo Mula Tulus Hidayat Yusanto Ulfa Hanifah Nurhaliza Ulhaq, Faiz Daffa Waridho Iskandar Waridho Iskandar Yuliana, Sekar Zackharia Rialmi