PENERAPAN INDOBERT EMBEDDING DAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) UNTUK…

Hate speech on social media is a serious issue that can trigger discrimination and social conflict, highlighting the need for an automated classification system to identify different types of hate speech. This study aims to develop an Indonesian hate speech classification system by combining IndoBERT embeddings as text representations and Support Vector Machine (SVM) as the classification algor…

ANALISIS KONFIGURASI BIPLOT ELEMEN-ELEMEN CUACA MENGGUNAKAN ANALISIS PROCRUST…

Changes in weather elements can affect various sectors such as agriculture, economy, tourism, and disaster mitigation, especially in tropical regions such as Pagar Alam Municipality. This study aims to analyze weather elements in Pagar Alam in 2020, 2021, and 2022 using biplot analysis and comparing biplot configurations using Procrustes analysis. Weather elements include Tmax (Maximum temperat…

PERBANDINGAN BIPLOT INDIKATOR KEPENDUDUKAN DI INDONESIA TAHUN 2020, 2023, DAN…

Indonesia is the fourth most populous country in the world after India, China, and the United States. This condition creates various challenges in resource management and national development, especially in equal access to education, health, and public welfare. This study aims to compare population indicators in Indonesia in 2020, 2023, and 2024. The data matrix includes birth and mortality rat…

ANALISIS SENTIMEN KOMENTAR PENGGUNA TERHADAP LAYANAN PAYLATER DI PLATFORM X M…

The rapid growth of digital financial services in Indonesia has accelerated the adoption of PayLater features across various online transaction platforms. This trend has led to diverse public opinions and sentiments, particularly on social media platform X (Twitter). This study aims to analyze public sentiment toward PayLater services and compare the performance of the Bidirectional Long Short-…

PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACE…

Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The res…

PENERAPAN METODE LONG SHORT-TERM MEMORY (LSTM) UNTUK PREDIKSI PRODUKSI MINYAK…

Oil production prediction is a crucial component of operational planning and strategic decision-making in the upstream oil and gas industry. This study applies the Long Short-Term Memory (LSTM) method to model and predict oil production using daily historical data from PT Pertamina Hulu Rokan Regional 1 Zona 4 Limau Field for the period January 1, 2022, to July 31, 2025. Data processing steps i…

KNOWLEDGE DISCOVERY DALAM KOMPARASI ALGORITMA ENSEMBLE BOOSTING PADA KLASIFIK…

Good water quality is one of the leading indicators in supporting the life of living things. However, pollution from industrial, domestic, and agricultural waste has resulted in a decline in water quality, which has the potential to cause environmental and health problems. Rapid technological advancements have made machine learning algorithms a viable alternative for classifying water quality. …

KNOWLEDGE DISCOVERY DALAM MEMPREDIKSI SKOR SUSTAINABLE DEVELOPMENT GOALS (SDG…

SDGs score prediction is important in assisting the planning and evaluation of policies to achieve these global targets. This study aims to compare the performance of several regression algorithms in predicting the SDGs score: Polynomial Regression, Support Vector Regression, Random Forest Regression, and Gradient Boosting Regressor. The dataset used consists of data on country names, years, SD…

PERBANDINGAN ALGORITMA KLASIFIKASI DALAM MENGANALISIS KONSISTENSI PEMILIHAN J…

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…

PENERAPAN ADASYN UNTUK MENANGANI DATA IMBALANCE DALAM PERBANDINGAN KINERJA SV…

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…

ANALISIS SENTIMEN PADA APLIKASI JMO MOBILE DALAM PERBANDINGAN KINERJA SUPPORT…

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 …

EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…

The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…

IMPLEMENTASI INDOBERT UNTUK ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP ULASAN …

Aspect-Based Sentiment Analysis (ABSA) has become a crucial approach for extracting detailed opinions from user-generated content, especially in the healthcare domain. This study analyzes public sentiment toward hospital services in Indonesia using IndoBERT, fine-tuned on 2.448 reviews collected from Google Reviews and Instagram. Sentiment labels were automatically assigned with a pre-trained I…

PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …

Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…

ANALISIS SENTIMEN PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKOPEDIA NYEMIL.S…

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…

ASPECT-BASED SENTIMENT ANALYSIS DAN KNOWLEDGE EXTRACTION UNTUK EVALUASI PERSE…

The rapid growth of digital wallet usage in Indonesia has raised concerns regarding user security and account protection. This study evaluates user sentiment related to the security features of the DANA digital wallet by applying Aspect Sentiment Classification (ASC), a subtask of Aspect-Based Sentiment Analysis (ABSA). A total of 4,846 security-related reviews were collected using keyword-base…

IMPLEMENTASI ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI PENJUALAN MOTOR DOMES…

Motorcycle sales in Indonesia continue to fluctuate in both domestic and export markets, creating the need for sales prediction to support decision-making in the automotive industry. This study aims to predict domestic and export motorcycle sales using the linear regression algorithm supported by the RapidMiner application. The data were obtained from the Indonesian Motorcycle Industry Associat…

Metodologi Penelitian Kualitatif ANALISIS DATA

Edition

1

ISBN/ISSN

978-979-769-304-6

Collation

xiii,315hlm.;21cm

Series Title

-

Call Number

001.42 Emz a

PENGELOLAAN dan ANALISIS DATA KESEHATAN (Dilengkapi Uji Validasi dan Rehabili…

Edition

-

ISBN/ISSN

978-602-95997-6-3

Collation

viii, 176 hlm.; illus.; 24 cm.

Series Title

-

Call Number

310 Riy p

ANALISIS KEPUASAN PEMUSTAKA TERHADAP APLIKASI MOBILE DIARY SUMSEL DI DINAS PE…

This research concerns the analysis of user satisfaction with the South Sumatra Mobile Diary application at the South Sumatra Library Service. The purpose of this study was to determine user satisfaction with the South Sumatra Mobile Diary application. This study uses the End user computing satisfaction (EUCS) method. A research method to measure satisfaction with an information system. This me…

ANALISIS PERBANDINGAN PENGALAMAN PENGGUNA PADA APLIKASI OVO DAN LINKAJA MENGG…

Technological developments have brought changes to every aspect of human life, including financial matters. In recent years, people must be very familiar with the term digital wallet. A digital wallet is an electronic application that can be used to pay for transactions online. No card and no cash, users only need to bring their smartphone. There are many digital wallet applications in Indonesi…

ANALISIS TINGKAT KEPUASAN MAHASISWA TERHADAP KUALITAS PELAYANAN KESEHATAN KLI…

Increasing the number of people in the use of health facilities will force an agency to maximize the services it provides. Poor service quality is one of the obstacles in calculating the level of service user satisfaction. This study was conducted to determine how much the level of student satisfaction with services at UPT. Sriwijaya University Health Clinic and which dimensions have a dominant…

ANALISIS FAKTOR-FAKTOR PENERIMAAN E-WALLET MENGGUNAKAN METODE UNIFIED THEORY …

Technology is currently developing very quickly, one of which is the payment transaction system. The transaction service that people use to make payments is ShopeePay. Based on the results of a survey from InsightAsia entitled Consistency That Leads: E-wallet Industry Outlook 2023, the research shows the results that ShopeePay is in fourth place for e-wallet applications that are widely used in…

ANALISIS RISIKO KESEHATAN LINGKUNGAN KANDUNGAN TIMBAL (Pb) DALAM SAYUR KUBIS …

One of the causes of lead contamination in vegetables is the effect of pesticide spraying on vegetables which leaves residues on the vegetables. Lead that contaminates vegetables can have health problems if it enters the human body. This study aims to analyze the magnitude of the health risks caused by the consumption of lead-contaminated cabbage in Suban Ayam Village. This study used a quantit…

STUDI KELAYAKAN BISNIS

Edition

1

ISBN/ISSN

979-3289-38-4

Collation

x, 184 hlm.: 23 cm.

Series Title

-

Call Number

650.028 Sof s

SWAM INTELLIGENCE KOMPUTASI MODERN UNTUK OPTIMASI dan BIG DATA MINING

Edition

-

ISBN/ISSN

978-602-6232-51-9

Collation

xxvi, 262 hlm; 21 cm

Series Title

-

Call Number

005.262 Suy s

BELAJAR ALAT ANALISIS DATA DAN CARA PENGOLAHANNYA DENGAN SPSS: PRAKTIS DAN MU…

Edition

-

ISBN/ISSN

978-602-6948-11-3

Collation

x, 222 p. ; 23 cm

Series Title

-

Call Number

005.55 Pri b

METODA PENGUMPULAN DAN TEKNIK ANALISIS DATA

Edition

1

ISBN/ISSN

978-979-29-7024-1

Collation

326 hlm; 23 cm.

Series Title

-

Call Number

001.42 Har m

FUNGSI STATISTIKA untuk Menganalisis Data

Edition

-

ISBN/ISSN

978-623-00-0795-8

Collation

x, 190 hlm.: ilus.; 21 cm

Series Title

-

Call Number

001.422 Kus f

ANALISIS DATA PADA BIDANG KESEHATAN

Edition

1

ISBN/ISSN

978-602-425-001-0

Collation

ix, 249 hlm.; ilus.; 20cm

Series Title

-

Call Number

613.011 Has a