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All Journal Jurnal Riset Informatika Jurnal Inovasi Bisnis Manajemen dan Akuntansi
Azzah, Aini
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Pengaruh Kualitas Pelayanan dan Promosi Terhadap Keputusan Pembelian pada Minimarket Alfamart Sahid Sudirman, Jakarta Pusat Azzah, Aini; Ety Nurhayaty
Jurnal Inovasi Bisnis Manajemen dan Akuntansi Vol. 3 No. 2 (2025): JIBMA : Jurnal Inovasi Bisnis Manajemen dan Akuntansi
Publisher : PT. Karya Inovatif Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65255/jibma.v3i2.161

Abstract

Competition in the retail business in Indonesia is getting tougher. To stay competitive, retail businesses must ensure that they always provide good service to remain the choice of consumers. This study aims to analyze whether service quality and promotion have an influence on consumer purchasing decisions at Minimarket Alfamart Sahid Sudirman. This research uses quantitative methods. The population in this study were consumers of Alfamart Sahid Sudirman, the research sample consisted of 100 respondents selected using random sampling technique. Data collection was carried out using a questionnaire, while data analysis was carried out using multiple linear regression methods assisted by SPSS version 26.Based on the results of this study that service quality partially has a positive and significant effect on purchasing decisions, promotion partially has a positive and significant effect on purchasing decisions. Service quality and promotion simultaneously influence purchasing decisions at Alfamart Sahid Sudirman Minimarket, Central Jakarta. Thus, it can be concluded that service quality and promotion have a significant influence, both partially and simultaneously on consumer purchasing decisions at Minimarket Alfamart Sahid Sudriman, Central Jakarta
TRANSFER LEARNING WITH EFFFICIENTNET-B0 FOR CAT BREED CLASSIFICATION: A COMPARATIVE EVALUATION OF OPTIMIZERS Azzah, Aini; Salamun Rohman Nudin
Jurnal Riset Informatika Vol. 8 No. 1 (2025): Desember 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.569 KB) | DOI: 10.34288/jri.v8i1.417

Abstract

Cats are widely kept as companion animals and exhibit substantial breed level variation in appearance and behavior that influences their care. This study develops a lightweight, image based classifier for identifying twelve common cat breeds using transfer learning on the EfficientNet-B0 backbone. Experiments contrasted four optimization algorithms (SGD, AdaGrad, RMSProp, and Adam) to identify the training strategy that balances convergence speed and generalization. Model effectiveness was measured with confusion matrix analysis and common classification indicators (accuracy, precision, recall, and F1-score). The best performing setup, EfficientNet-B0 fine tuned with the Adam optimizer attained 92% training accuracy, 89% validation accuracy, and 88% on the held out test partition. Subsequently, we integrated the trained model into a Flask web application, backed by an SQLite database, and conducted black-box testing to assess its functional reliability. All system functions met specifications and runtime predictions corresponded closely to ground truth labels. This platform provides a rapid and accurate tool for cat owners and enthusiasts to identify breeds in real-world scenarios, highlighting the usefulness of transfer learning in a streamlined web based implementation.
Co-Authors Nurhayaty, Ety SALAMUN ROHMAN NUDIN