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Penerapan K-Means Clustering untuk Segmentasi Pelanggan
Fathoni Dwi Atmoko
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Vol 3
, No 2
(2025)
Public transportation, with Transjakarta as its main pillar, requires a deep understanding of customer behavior to improve service quality and maintain loyalty. This study aims to segment Transjakarta customers using data mining techniques, specifically the K-Means Clustering algorithm, based on the RFM (Recency, Frequency, Monetary/Value) behavioral model. 37,900 rows of raw transaction data were processed into a clean database, resulting in 1,917 unique customers for analysis. The RFM metrics...
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Klasifikasi Instrumen Musik dari Sinyal Audio menggunakan ResNet
Fathoni Dwi Atmoko
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 5
(2024)
This study presents the implementation of Transfer learning using the ResNet-18 architecture for classifying 10 musical instrument categories based on visual representations of audio signals. The audio waveform is transformed into image-like inputs appropriate for CNN processing, accompanied by data augmentation and ImageNet-standard normalization. ResNet-18 is utilized due to its efficient feature extraction capability enabled by residual blocks, which help overcome vanishing gradient issues. T...
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Prediksi Harga Rumah dengan Regresi Linier
Fathoni Dwi Atmoko
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 1
, No 2
(2023)
Property price determination is a complex challenge influenced by various factors, thus requiring an effective method for accurate prediction to support investment decision-making. In the current digital era, conventional approaches are being replaced by data-driven and artificial intelligence methods, where Linear Regression remains a popular choice due to its simplicity and effectiveness in modeling linear relationships. This study aims to analyze the relationship between the physical characte...
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