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All Journal Jurnal PkM MIFTEK Engineering Science Letter
Rahmi, Murni Lestari
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences Other

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OPTIMALISASI PLATFORM DIGITAL SEBAGAI SARANA PEMASARAN UMKM DI DESA BANJARSARI Cahyadi, Ujang; Wandani, Anggi; Hidayatullah, Irfan; Maulana, Helmi; Berliana, Lyan; Rahmi, Murni Lestari; Nurapipah, Nisa; Saputra, Rizki; Apriansyah, Randi; Safari, Muhamad Ikhsan; Shudur, Syifaus; Safitri, Andriani; Muti, Muhammad Hafash Al; Fauziah, Fitria Nurhaliza; Muhaemin, Algi; Ramadhan, Adam Putra; Hakim, Muhammad Luqmanul; Imanulloh, Agil Nazhar; Zirzis, Yogie Wahyudin; Daud, Ridwan Muhammad; Nasrullah, M. Nabil Naufal
Jurnal PkM MIFTEK Vol 5 No 1 (2024): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.5-1.1512

Abstract

In the current digital era, the emergence of technology and high business competition makes MSMEs compete with their competitors. Conventional marketing strategies are no longer enough to win the competition. Unfortunately, there are still many MSMEs that have not been able to optimize digital platforms as a marketing tool, especially MSMEs in Banjarsari Village. Therefore, Group 3 KKN students prepared a work program for Micro, Small and Medium Enterprise Development in Banjarsari Village. The aim is to provide assistance and assistance as well as understanding the importance of digital marketing to expand market reach. The results achieved are that MSMEs in Banjarsari Village have an Online Shop as a means of marketing products online and facilitating communication and transactions with consumers.
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 Aminuyati Apriansyah, Randi Balilo Jr, Benedicto B. Berliana, Lyan Cahyadi, Ujang Daud, Ridwan Muhammad Dede Kurniadi Fauziah, Fitria Nurhaliza Helmi Maulana Hidayatullah, Irfan Hilmi Aulawi Imanulloh, Agil Nazhar Luqmanul Hakim Muhaemin, Algi Muti, Muhammad Hafash Al Nasrullah, M. Nabil Naufal Nurapipah, Nisa Ramadhan, Adam Putra Safari, Muhamad Ikhsan Safitri, Andriani Shudur, Syifaus Wandani, Anggi Zirzis, Yogie Wahyudin