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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika UNIKA Santo Thomas Etika Demokrasi Kurawal - Jurnal Teknologi, Informasi dan Industri JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal E-Komtek Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) IJCOSIN : Indonesian Journal of Community Service and Innovation eProceedings of Engineering Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen
Aulia Desy Nur Utomo
Institut Teknologi Telkom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Kurawal - Jurnal Teknologi, Informasi dan Industri

 1 
PENGARUH IMPLEMENTASI ALGORITMA DECISION TREE TERHADAP AKURASI SISTEM PENAKARAN AIR MENGGUNAKAN SENSOR WATER FLOW YF-S401 Yasin, Feri; Desy Nur Utomo, Aulia; Parga Zen, Bita
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 8 No 2 (2025): Jurnal Kurawal Volume 8, Nomor 2, October 2025
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v8i2.1231

Abstract

This study discusses the development of a microcontroller-based water dispensing system by comparing two approaches: the conventional method and the decision tree algorithm. The system was tested on various volume variations and analyzed in terms of error and accuracy. The results show that the conventional method produced an average error of 20.5%, particularly high at smaller volumes. In contrast, the decision tree algorithm achieved an average error of only 2.0% and consistently maintained accuracy above 98%. Therefore, the decision tree algorithm proves to be superior in improving the accuracy and reliability of the automatic water dispensing system.
Co-Authors Abimanyu Abimanyu Aditya Wijayanto Ahmad Ashari Ahmad Ashari Andi Prademon Yunus Anggi Zafia Aulia Sholichah Iman Nurchotimah Bita Parga Zen Cahyo Prihantoro Dany Candra Febrianto Dimas Dwi Priyono Dimas Dwi Priyono Dimas Fanny Hebrasianto Permadi Fajaruloh, Wahyu Farhan Ilham, Afif Felix Barus, Fransiskus Fera Agurini Feri Yasin Henri Tantyoko Ipam Fuaddina Adam Iqsyahiro Kresna A Khasanah, Dian Ratu Ayu Uswatun Moh Thoriq Afif Muhammad Agung nugroho Muhammad Rivai, Bramansyah Novantoro, Setiawan Dwi Putri Ginting, Betania Setyoko, Yoso Adi Siagian, Claudia Angelita T Heru Nurgiansah Wibowo, Fahrudin Mukti Yasin, Feri Yesy Diah Rosita Yoso Adi Setyoko Zulfian, Lutfi