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ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI TOKOPEDIA MENGGUNAKAN ALGORITMA RA…
Dalam beberapa tahun terakhir, pertumbuhan e-commerce di Indonesia menunjukkan peningkatan yang signifikan, menjadikan ulasan konsumen sebagai acuan utama dalam menilai kualitas layanan dan pengalaman pengguna. Tokopedia, sebagai salah satu platform e-commerce terbesar, menerima jutaan ulasan yang merefleksikan opini serta pengalaman pelanggan terhadap berbagai produk dan layanan. Karena berben…
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- xvi, 88 hlm.; ilus.; tab.; 29 cm.
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- T1895122025
PENERAPAN ALGORITMA RANDOM FOREST DAN K-NEAREST NEIGHBORS DALAM MEMPREDIKSI G…
Earthquakes occur due to the impact of volcanic activity in mountainous areas. Sumatra Island is one of the islands that has earthquake activity that occurs quite frequently, especially in the South Sumatra region. This research aims to get accurate results based on the best algorithm in predicting earthquakes in Southern Sumatra to determine the prediction of earthquakes in Southern Sumatra us…
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- xiv, 105 hlm.; ilus.; 29 cm
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- T1521082024
ANALISIS KLASIFIKASI KEKASARAN PERMUKAAN PADA PROSES MILLING CNC BAJA S45C ME…
Applying machine learning to the CNC milling process reduces costs and saves time while optimizing surface roughness. When used to develop CNC milling processes, machine learning can minimize machine downtime, optimize CNC machinery, forecast tool wear, simulate cutting forces, maintain CNC machinery, keep an eye on milling operations, and forecast surface quality. Random Forest is the machine …
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- xii, 80 hlm.; ilus.; tab.; 29 cm
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- T1477852024
APLIKASI METODE RANDOM FOREST CLASSIFIER PADA NILAI KEKASARAN PERMUKAAN BAJA …
Artificial Intelligence (AI) is a program designed to enable machines to think like humans. The utilization of AI by industry is not limited to the telecommunications sector but extends to the manufacturing field, where machine learning is employed in milling machines to classify surface roughness classes. This is particularly done for the Ra value, which is the industry standard for surface ro…
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- ix, 57 hlm.; ilus.; tab.; 29 cm
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- T1477102024
IMPLEMENTASI METODE RANDOM FOREST DALAM KLASIFIKASI KEKASARAN PERMUKAAN BAJA …
Product quality is often associated with surface roughness values. Surface roughness can determine whether a product can meet quality standards or not. It is important to determine the right and optimal parameters, so as to achieve good surface roughness quality. Therefore, to improve the effectiveness of machining performance, a method is needed that can optimize the results of roughness quali…
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- xx, 50 hlm.; ilus.; tab.; 29 cm
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- T1472772024
DETEKSI SERANGAN SMURF ATTACK MENGGUNAKAN ALGORITMA RANDOM FOREST
This final project focuses on detecting smurf attacks to be categorized as normal data or attacks. The smurf attack data packet is an ICMP packet, so in this study the focus is on the ICMP protocol. In making the dataset taken on the local network and divided into two datasets, namely normal datasets, and attack datasets. In performing detection, using ICMP message format in order to recognize …
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- x, 41 hlm. : ilus. ; 29 cm
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- T527502021
IDENTIFIKASI HAMA DAN PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE RANDOM …
The rate of increasing national demand for corn is not matched by the rate of corn production. Pests and diseases are one of the factors that cause corn production to decline. To solve the problem, early identification of pests and diseases of corn crops is required. This study aims to identify pests and diseases in corn crops using digital image processing techniques in the form of RGB colors …
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- xvi, 76 hlm,: ilus.; 29 cm
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- T518312021
PENGKLASIFIKASIAN TINGKAT OBESITAS MENGGUNAKAN METODE NAIVE BAYES DAN RANDOM …
Obesity is a disease of excess body fat that is abnormal in adipose tissue. Obesity in Indonesia has experienced a significant increase, Basic Health Research in 2018 said the population aged 18 years or over of obesity increased from 14.8% to 21.8%. Obesity can cause complication such as heart disease and stroke, which are the leading cause of death in the world. Therefore, it is quite importa…
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- xiii, 118 hlm. : ilus. ; 29 cm
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- T509922021
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