Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
    See More
  • General Material Designation
    See More
  • Location
    See More
  • Language
    See More
Found 4 from your keywords: subject="Analisis Sintimen--An...
cover
PERBANDINGAN ALGORITMA KLASIFIKASI DALAM MENGANALISIS KONSISTENSI PEMILIHAN J…
Comment Share
Rizkyllah, Anabel Fiorenza

Choosing a college major that is consistent with a student's high school background is a crucial factor in supporting academic achievement and career preparation. This study focuses on a comparative analysis of the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms in evaluating the consistency of college major selection. This study used processed data from 636 students for an…

Edition
-
ISBN/ISSN
-
Collation
xv, 104 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1895852025
cover
PENERAPAN ADASYN UNTUK MENANGANI DATA IMBALANCE DALAM PERBANDINGAN KINERJA SV…
Comment Share
Epriyanti, Nadia

The rapid growth of digital applications has heightened the need to understand user perceptions more thoroughly, particularly through sentiment analysis of user-generated reviews. In practice, sentiment classification often faces challenges related to class imbalance, especially when neutral reviews are significantly fewer than positive or negative ones. This imbalance can limit a model’s abi…

Edition
-
ISBN/ISSN
-
Collation
xvi, 93 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1895872025
cover
ANALISIS SENTIMEN PADA APLIKASI JMO MOBILE DALAM PERBANDINGAN KINERJA SUPPORT…
Comment Share
Mariska, Inneke Via

JMO Mobile is a digital service application that enables the public to access employment-related information and benefits. User reviews serve as a valuable resource for evaluating service quality, yet systematic sentiment analysis on this application remains limited. This study aims to classify the sentiment of user reviews and compare the performance of Support Vector Machine (SVM) and Random …

Edition
-
ISBN/ISSN
-
Collation
xv, 93 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1895382025
cover
ANALISIS SENTIMEN PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKOPEDIA NYEMIL.S…
Comment Share
Demetria, Putri

Penelitian ini bertujuan menganalisis sentimen pelanggan terhadap ulasan produk pada toko Nyemil.Saji di Tokopedia menggunakan metode Support Vector Machine (SVM). Permasalahan utama yang melatarbelakangi penelitian adalah adanya ketidaksesuaian antara isi ulasan teks dan rating bintang yang menyulitkan evaluasi kualitas produk secara objektif. Data dikumpulkan melalui web scraping dan diproses…

Edition
-
ISBN/ISSN
-
Collation
xviii, 113 hlm.; ilus.; tab.; 29 cm.
Series Title
-
Call Number
T1895222025