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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Algoritma Jurnal Kalibrasi STRATEGIC JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MANAJERIAL JMM (Jurnal Masyarakat Mandiri) Indonesian Journal of English Language Teaching and Applied Linguistics Business Innovation and Entrepreneurship Journal Scope: Journal of English Language Teaching Jurnal Wacana Ekonomi Elsya : Journal of English Language Studies Khazanah Sosial Jurnal Teknik Informatika (JUTIF) Didaktika: Jurnal Kependidikan Khazanah Akademia Indonesian Journal of EFL and Linguistics Jurnal PkM MIFTEK Jurnal Algoritma Jurnal Kalibrasi Bandung Conference Series: Economics Studies Engineering Science Letter Journal of Knowledge Management Jurnal Mitra Teknik Industri Indonesian Journal of English Language Teaching and Applied Linguistics
Hilmi Aulawi
Institut Teknologi Garut
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Engineering Science Letter

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RMSProp Optimizer and KAN Method-Based CNN on Rupiah Banknote Classification for Visually Impaired Kurniadi, Dede; Rahmi, Murni Lestari; Balilo Jr, Benedicto B.; Aulawi, Hilmi
Engineering Science Letter Vol. 4 No. 02 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00936

Abstract

The visually impaired refers to individuals who experience a loss of visual function. Approximately 4 million people, or about 1.5% of Indonesia's total population, are visually impaired. They rely on their sense of touch to recognize banknote denominations in financial transactions. However, damaged banknotes often hinder identification and increase the risk of fraud. Therefore, this study aims to develop a rupiah banknote denomination classification model to assist them in conducting independent transactions. The researchers developed a CNN-KAN model with the RMSProp optimizer using a private dataset comprising 800 images of Rupiah banknotes with denominations of IDR 1,000, IDR 2,000, IDR 5,000, IDR 10,000, IDR 20,000, IDR 50,000, IDR 75,000, and IDR 100,000 from the 2016, 2020, and 2022 emission years. The dataset encompasses variations in image perspectives, lighting conditions, and the physical state of banknotes, including both intact and damaged ones, with up to 30% of the samples comprising damaged banknotes. Data augmentation techniques were implemented to improve data diversity. The dataset was then utilized for training and testing with different split ratios: 50:50, 60:40, 70:30, 80:20, and 90:10. Performance evaluation was conducted using loss, accuracy, precision, recall, and AUC-ROC metrics. Experimental results indicate that the CNN-KAN model with the RMSProp optimizer achieved optimal performance. In the 90:10 data split scenario, the model achieved 100% accuracy, precision, and recall, with an AUC-ROC of 1 and a loss of 0.008. Therefore, the CNN-KAN model with the RMSProp optimizer has been proven effective for implementing Rupiah banknote denomination detection for the visually impaired in an automated system.
Co-Authors Abdu Syobir Abdusy Syakur Amin Ade Sutedi Agi Ferdiansyah Sunarya Ahmad Dzulfikar, Bilal Aisyah, Risa Al Faujan, Septian Kiki Al Fisimar, Farhan Alpin Nurzaman Andri Ikhwana Andriyas Kurniawan, Wahyu Angga Syaeful Azhar Anjas Ninda Hantari Ariyan Hendriatama Putra Saridi Asri Mulyani Aulia Malik Ayu Latifah Bajuri, Ahmad Balilo Jr, Benedicto B. Dahman, Muhamad Dede Kurniadi Deni Sahroni Dewi Rahmawati DEWI RAHMAWATI Dian Kusma Noria Dini Destiani Siti Fatimah Dini Riska Anggraeni Eko Walujodjati Faujani, Zidan Ahmad Fikar Raysona, Mochamad Firmansyah, Ara Fitrin Rawati Suganda Gilang Nur Akbar Hamdani, Nizar Alam Hatta Jayawardhana Holisoh, Iis Iman Sudirman Imat Sutarman Iqbal Try Maulana Kadarsah Suryadi Kustian Arisandi Fajar Latif, A. Abdul Misbah Syahbudin, Muhammad Khoirul Muhamad Faisal Muhammad Syauqi Mubarok, Muhammad Syauqi Nabhani, Irfan Neng Rita Nurjanah Nurhaliza, Nabila Putri Nursa'diah, Rifania Sapta Oktavia, Rahmi Zachra Rahmi, Murni Lestari Rajesri Govindaraju Ramadhani, Reski Rani Andriani, Rani Reski Ramadhani Revy Ardiansyah Ridwan Jauhari Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rina Kurniawati Rina Kurniawati Rinda Cahyana Rinrin Rubianti Risa Aisyah Robiyatul Adawiyah Isni Putri Rospita S, R Tita Ruari, Elgi Muhamad Rustandi Rustandi, Rustandi Sabila Rismawati Saepul Jamil, Alwis Santoso, Bambang Tri Sheila Nur Sheilawati Sopian Sopian Sri Rahayu Sukonoya, Muhammad Fajar Sunarya, Agi Ferdiansyah Suseno, Novie Susanti Taofik Slamet Taptajani, Dedi Sa'dudin Ulfa, Risma Liyana Vizay Vicky Pratama Wahyu Andreas Kurniawan Wahyu Andriyas Kurniawan Yadi Ahmad Fauzi Yanti Yogi Permana Yogi Teguh Herdiansyah Yusep Senjani