Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
    See More
  • General Material Designation
    See More
  • Location
    See More
  • Language
    See More
Found 7 from your keywords: subject="Program Magister Ilmu...
cover
KLASIFIKASI KECOCOKAN TANAMAN DENGAN PARAMETER DATA PH DAN KELEMBABAN TANAH M…
Comment Share
Pratama, Yogi Tiara

Terdapat peningkatan penggunaan kemajuan teknologi khusunya dalam bidang kecerdasan buatan dan Internet of Things (IoT). Penggunaan kecerdasan buatan dalam bidang pertanian seperti Internet of Things (IoT) dapat mengoptimalkan hasil panen petani, misalnya aplikasi pemantauan Ph dan Kelembahan yang membuat petani mengatahui nilai Ph dan Kelembaban secara real time dan menampilkan tanaman apa yan…

Edition
-
ISBN/ISSN
-
Collation
xiv, 58 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1579962024
cover
SISTEM REKOMENDASI COLLABORATIVE FILTERING MENGGUNAKAN KOMBINASI METODE CLUST…
Comment Share
Annisa, Siti

A recommendation system helps collect and analyze user data to generate personalized recommendations for users. A recommendation system for movies has been implemented, considering the vast number of available films and the difficulty users face in finding movies that match their interests. One popular recommendation method is Collaborative Filtering (CF). Although widely applied, CF still has …

Edition
-
ISBN/ISSN
-
Collation
xiii, 87 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1579472024
cover
DETEKSI STRUKTUR JANTUNG PADA ANAK DENGAN VIDEO ULTRASOUND MENGGUNAKAN DEEP L…
Comment Share
Pratama, Jimiria

Medical imaging, such as ultrasound, is widely used in various diagnoses and medical treatments due to its advantages, including being a comfortable, non-invasive procedure, radiation-free, affordable, and capable of real-time observation. Therefore, the application of deep learning is expected to be used for object detection in children's hearts. This study employs YOLOv5, YOLOv7, and YOLOv8 m…

Edition
-
ISBN/ISSN
-
Collation
xvii, 103 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1582912024
cover
SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN ARSITEKTUR RESVNET
Comment Share
Syafira, Dian Ramadhani

The use of retinal images on the eye fundus is becoming an important tool in the medical world, especially for the diagnosis of eye diseases. Segmentation of blood vessels in retinal images is one of the important steps in medical analysis to detect and diagnose various eye diseases, such as diabetic retinopathy, glaucoma, and macular degeneration. Using the ResVNet method, segmentation is perf…

Edition
-
ISBN/ISSN
-
Collation
xviii, 151 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1598012024
cover
ANALISIS KLASIFIKASI SHELLCODE DENGAN MACHINE LEARNING BERBASIS KLASIFIKASI B…
Comment Share
Semendawai, Jaka Naufal 

Internet dapat menghubungkan satu orang dengan orang lain dengan menggunakan perangkat masing-masing. Internet sendiri memiliki dampak positif dan negatif. Salah satu contoh dampak negatif dari internet adalah adanya malware yang dapat mengganggu atau bahkan membunuh perangkat atau penggunanya; itulah mengapa keamanan cyber diperlukan. Banyak metode yang dapat digunakan untuk mencegah atau mend…

Edition
-
ISBN/ISSN
-
Collation
xiv, 165 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1595182024
cover
ANALISIS PENERAPAN E-ELECTION DALAM PEMILU DI INDONESIA
Comment Share
Widhiarso, Dytha Ananda

E-democracy has become a solution for implementing the democratic process supported by information technology, which in its application has several models that can be used. One form of implementing democracy is the General Election (Pemilu). The part of e-democracy that focuses on the general election process is known as e-election. Elections in Indonesia itself are carried out in two ways, nam…

Edition
-
ISBN/ISSN
-
Collation
xviii, 95 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1509352024
cover
KLASIFIKASI KANKER PAYUDARA MENGGUNAKAN METODE CONVULATIONAL NEURAL NETWORK D…
Comment Share
Idawati, Idawati

Breast cancer is one of the leading causes of death among women worldwide. Early detection of breast cancer is crucial to increase the chances of recovery. This study aims to develop a breast cancer classification system using the Convolutional Neural Network (CNN) method with ResNet-50 and VGG-16 architectures. The data used in this study are breast ultrasound images obtained from a public dat…

Edition
-
ISBN/ISSN
-
Collation
xv, 69 hlm.; ilus.; 29 cm
Series Title
-
Call Number
T1513252024