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All Journal Jurnal ULTIMATICS Jurnal PkM MIFTEK Engineering Science Letter
Rahmi, Murni Lestari
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering 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.
Hospital Virtual Tour Website Design Using Multimedia Development Life Cycle Kurniadi, Dede; Rahmi, Murni Lestari; Nurhaliza, Nabila Putri
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.3832

Abstract

In 2023, Indonesia recorded 3,155 hospitals spread across the country, comprising 2,636 general and 519 specialized hospitals. Although the number is significant, not all community members have easy, direct access to hospitals. To overcome this challenge, virtual tour technology has emerged as a relevant solution to facilitate access to information and increase the transparency of hospital services. This project aims to develop a virtual tour website for Medina Hospital in Garut Regency. The project uses a systematic development method known as the Multimedia Development Life Cycle (MDLC), which includes stages from concept to distribution. The resulting website allows users to explore various hospital areas, such as the Main Building, Emergency Room, Tulip Building, and Chemotherapy Poly, through a virtual 360-degree panoramic view. Additionally, building and floor selection features are designed to make it easy for users to navigate. This website is also equipped with a chatbot feature that helps users find the location of a specific room and video tutorial guides that provide instructions for using the website. The results of the black box test show that the website functions well without any significant technical problems, so it is ready for public use. This website is expected to increase accessibility and convenience for users in obtaining information about the facilities and rooms available at Medina Hospital.
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 Nurhaliza, Nabila Putri Ramadhan, Adam Putra Safari, Muhamad Ikhsan Safitri, Andriani Shudur, Syifaus Wandani, Anggi Zirzis, Yogie Wahyudin