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A Systematic Literature Review: Analyzing Service Quality Through User Reviews Using Machine Learning Approaches
Riset Ilmu Manajemen Bisnis dan Akuntansi
Vol 3
, No 2
(2025)
This research conducted a systematic literature review of studies related to analyzing service quality based on user reviews with a machine learning approach. A total of 15 international and national journals were analyzed to identify challenges, methods, and trends in research in this aspect. The review results show that Natural Language Processing (NLP) and Sentiment Analysis techniques are the dominant approaches, with machine learning models such as Deep Learning, Naive Bayes, and Support Ve...
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Sentiment Analysis of KAI Access App Customer Reviews to Improve Customer Service Using Natural Language Processing
Riset Ilmu Manajemen Bisnis dan Akuntansi
Vol 3
, No 2
(2025)
This research analyzes user sentiment reviews of the KAI Access application from Google Play Store to improve customer service at PT Kereta Api Indonesia. The study uses a Natural Language Processing (NLP) approach with the Latent Dirichlet Allocation (LDA) algorithm to extract main topics from 10,000 reviews collected from April 2024 to April 2025. Analysis results show 40.7% positive sentiment reviews and 49.3% negative. After data preprocessing through case folding, normalization, tokenizatio...
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Optimalisasi Keuntungan Penjualan Produk UMKM ‘Batagor Bandung Tarakan’ Dengan Metode Simpleks dan POM-QM
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 2
(2025)
This study aims to optimize sales profit at the MSME Batagor Bandung Tarakan by applying the Simplex method in linear programming, supported by the POM-QM for Windows software. Profit optimization plays a crucial role in strategic decision-making, particularly in determining the optimal daily production quantities to enhance operational efficiency, maximize the use of raw materials, and meet market demand effectively. The Simplex method was chosen for its ability to solve linear optimization pro...
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