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All Journal Jurnal Ilmiah Teknik (JUIT) International Journal Management and Economic (IJME)
Sri Rahayu Puspita Sari
Gunadarma University
Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Rupiah Banknote Classification Using MobileNetV2 Based on Image Data Aditya Rizky Fajriansyah; Dina Agusten; Sri Rahayu Puspita Sari; Fauziah; Yuli Fitriyani; Mariza Wijayanti
Jurnal Ilmiah Teknik Vol. 5 No. 1 (2026): Januari: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i1.2461

Abstract

Visually impaired individuals often struggle to independently identify Indonesian rupiah denominations because banknotes share similar colors, patterns, and layouts, increasing the risk of errors during cash transactions. Purpose: This study aims to develop an offline, image-based banknote denomination recognition system on Android that can provide accessible assistance without relying on internet connectivity. Methodology: A quantitative experimental design was applied using a dataset of 4,340 banknote images covering 14 classes (seven denominations with front and back sides). The classifier was built with MobileNetV2 using transfer learning, supported by data augmentation and hyperparameter optimization, and evaluated using validation accuracy and F1-score. The trained model was converted to TensorFlow Lite and integrated into a Flutter-based Android application with text-to-speech output for user assistance. Findings: The proposed model achieved 96.20% validation accuracy with an average F1-score of 0.95, indicating strong performance for lightweight on-device inference. Implications: The system can be deployed in real time on smartphones to support inclusive and safer cash handling for visually impaired users, and it demonstrates the feasibility of offline deep learning for accessible financial technology. Originality: This study provides an end-to-end offline solution for Indonesian rupiah recognition that combines a lightweight deep learning model, on-device deployment, and text-to-speech feedback while distinguishing both sides of multiple denominations, offering practical value beyond approaches that depend on cloud inference or limited class coverage.  
THE EFFECT OF SERVICE QUALITY ON CONSUMER SATISFACTION AT TEH POCI PERUMNAS 1, BEKASI Ratih Fitri Yatun; Sri Rahayu Puspita Sari
International Journal Management and Economic Vol. 5 No. 2 (2026): May: International Journal Management and Economic
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijme.v5i2.3042

Abstract

The purpose of this study was to determine the partial and simultaneous influence of service quality on customer satisfaction at Teh Poci Perumnas 1, Bekasi. The data used were primary data, using a questionnaire distributed to 100 consumers of Teh Poci Perumnas 1, Bekasi. The sampling technique used was purposive sampling. The analytical tools used were validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple linear regression analysis, determinant test, f-test, and t-test. The results showed that the variables Reliability, Assurance, and Physical Evidence partially influenced Customer Satisfaction at Teh Poci Perumnas 1, Bekasi. Meanwhile, the variables Responsiveness and Empathy did not have a partial effect on Customer Satisfaction at Teh Poci Perumnas 1, Bekasi. The variables Reliability, Responsiveness, Assurance, Empathy, and Physical Evidence jointly influenced Customer Satisfaction at Teh Poci Perumnas 1, Bekasi.
Co-Authors Aditya Rizky Fajriansyah Dina Agusten Fauziah Mariza Wijayanti Ratih Fitri Yatun Yuli Fitriyani