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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. …
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- xvi, 74 hlm.; ilus.; tab.; 29 cm.
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- T1895992025
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…
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- xiv, 83 hlm.; ilus.; tab.; 29 cm.
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- T1895962025
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…
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- xv, 104 hlm.; ilus.; tab.; 29 cm.
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- T1895852025
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…
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- xvi, 93 hlm.; ilus.; tab.; 29 cm.
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- T1895872025
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 …
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- xv, 93 hlm.; ilus.; tab.; 29 cm.
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- T1895382025
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…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1895342025
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…
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- xv, 100 hlm.; ilus.; tab.; 29 cm.
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- T1895862025
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…
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- xv, 98 hlm.; ilus.; tab.; 29 cm.
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- T1895732025
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…
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- xviii, 113 hlm.; ilus.; tab.; 29 cm.
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- T1895222025
KNOWLEDGE DISCOVERY ANALISIS PERBANDINGAN MODEL MACHINE LEARNING DALAM PREDIK…
Peningkatan volume sampah perkotaan menuntut sistem pengelolaan yang lebih efisien dan berbasis data, khususnya dalam perencanaan pengumpulan sampah harian. Permasalahan utama dalam prediksi volume sampah adalah kompleksitas hubungan non-liniar antar variabel serta keterbatasan penelitian yang membandingkan kinerja berbagai algoritma machine learning secara komprehensif. Penelitian ini bertujua…
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- xii, 105 hlm.; ilus.; tab.; 29 cm.
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- T1895002025
EVALUASI USER ACCEPTANCE PLATFORM TOKOPEDIA MELALUI FRAMEWORK UTAUT3 DAN ANAL…
This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …
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- xiii, 30 hlm.; ilus.; tab.; 29 cm.
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- T1895462025
ANALISIS RISIKO KESEHATAN LINGKUNGAN PAJANAN PARTICULATE MATTER 10 (PM10) PAD…
Seberang Ulu I sub-district is the entrance or connector between Palembang City and Ogan Ilir Regency which is busy with vehicle traffic. One of the emissions that vehicles produced that is dangerous to health is Particulate Matter 10 (PM10). Therefore, this research purposeful the environmental health risk analysis of PM10 exposure to street sweepers in Seberang Ulu I District of Palembang Cit…
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- xii, 133 hlm.; ilus.; 29 cm
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- T1516022024
STRATEGI KESANTUNAN BERBAHASA PADA DEBAT CAPRES DI INDONESIA TAHUN 2024 DAN I…
This research aims to describe the form of language politeness strategies and the characteristics of verbal and non-verbal language politeness strategies in the first presidential debate in 2024. In addition, this research aims to analyze the implications for Indonesian language learning. This research uses ethnographic method. The data collection techniques used in the research are listening t…
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- x, 52 hlm.; ilus.; 29 cm
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- T1578422024
ANALISA ERGONOMI FAKTOR FISIK LINGKUNGAN DAN POSTUR KERJA DENGAN METODE RAPID…
A sewing machine is a mechanical or electromechanical device that plays a role in the sewing process. Nowadays, especially in the field of expertise such as clothing manufacturing, sewing machines are one of the important equipment. This study aims to evaluate the risk of body position and work environment of sewing operators using the Rapid Entire Body Assessment (REBA) method. This method hel…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1532952024
ANALISIS REGRESI SPASIAL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KASUS HI…
HIV/AIDS cases in an area may be influenced by the adjacent areas. Analysis of factors affecting HIV/AIDS cases can be done through classical Linear Regression. However, spatial regression analysis is a more suitable method to use if location is taken into account. The purpose of this research is to perform a spatial regression analysis on the HIV/AIDS cases in Indonesia in 2021. Spatial depend…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1530092024
PENGGUNAAN TASK CENTERED SYSTEM DESIGN DALAM INTERFACE SISTEM INFORMASI DATA …
Perkembangan teknologi informasi dan komunikasi saat ini telah berkembang dengan pesat, hal tersebut mendorong pemerintah untuk menyediakan layanan berbasis digital, termasuk dalam pengelolaan data demografi kependudukan. Penelitian ini bertujuan untuk menerapkan metode Task-Centered System Design (TCSD) dalam merancang Sistem Informasi Data Demografi Kabupaten Muara Enim. Metode TCSD dipilih u…
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- xv, 70 hlm.; ilus.; tab.; 29 cm.
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- T1894502025
ANALISIS KOMPARASI KINERJA INDOBERT FINE-TUNED DAN HYBRID SUPPORT VECTOR MACH…
The low rating of the BeOne HRIS application on the Google Play Store indicates user dissatisfaction that requires strategic evaluation through automated sentiment analysis. This study aims to compare the effectiveness of a transformer-based Deep Learning model, namely IndoBERT Fine-tuned, against a hybrid approach that combines IndoBERT as a feature extractor with a Support Vector Machine (SVM…
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- xvi, 109 hlm.; ilus.; tab.; 29 cm.
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- T1894522025
KNOWLEDGE DISCOVERY BERDASARKAN ANALISIS SENTIMEN TERHADAP PERSEPSI PUBLIK TE…
Generative Artificial Intelligence (GenAI) has developed rapidly with various applications that facilitate content production but raise concerns regarding ethics, privacy, and copyright. Public perception of this technology is crucial to understand as it influences social acceptance and the direction of policy development. This study aims to map public sentiment toward GenAI on the social media…
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- xv, 106 hlm.; ilus.; tab.; 29 cm.
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- T1894282025
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…
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- xvii, 101 hlm.; ilus.; tab, 29 cm
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- T1894112025
ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…
Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…
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- xvi, 131 hlm.; ilus.; tab, 29 cm
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- T1893632025
KNOWLEDGE DISCOVERY: ANALISIS SENTIMEN DAN EMOSI WHATSAPP BUSINESS DENGAN MAC…
WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…
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- xvi, 83 hlm.; ilus.; tab, 29 cm
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- T1894142025
KNOWLEDGE DISCOVERY MENGGUNAKAN ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA UL…
The rapid growth of mobile banking in Indonesia underscores the need for secure and innovative digital financial services. However, studies that compare user experiences across multiple applications within the same bank remain limited. To address this research gap, we analyze BCA’s two primary applications, BCA Mobile and myBCA, which serve millions of users in Indonesia. Data collected from …
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- xvii, 97 hlm.; ilus.; tab, 29 cm
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- T1892802025
KNOWLEDGE DISCOVERY MELALUI ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN PENG…
BYOND by BSI is the latest application developed from BSI Mobile by Bank Syariah Indonesia as part of its digital banking transformation. The quality of this application can be evaluated through user reviews on the Google Play Store; however, the large volume of reviews creates challenges in extracting meaningful information. This study applies an Aspect-Based Sentiment Analysis (ABSA) approach…
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- xvii, 96 hlm.; ilus.; tab, 29 cm
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- T1893962025
ANALISIS KOROSI AISI 1020 DAN ALUMINIUM 1050 PADA LINGKUNGAN AIR LINDI AKIBAT…
This research analyzes the corrosion of Low Carbon Steel AISI 1020 and Aluminum 1050 in a leachate environment with various soaking times. Corrosion is the process of damaging metal materials due to chemical or electrochemical reactions with the environment. In this research, low carbon steel and aluminum specimens were immersed in water contaminated with waste from the Sukawinatan landfill, Pa…
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- xii, 50 hlm.; ilus.; 29 cm
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- T1533682024
ANALISA POSTUR KERJA DENGAN MENGGUNAKAN METODE RAPID ENTIRE BODY ASSESSMENT (…
This research aims to analyzing and assessing body posture when making fish crackers and work risks using the Rapid Entire Body Assessment (REBA) score, this study evaluates and assesses body posture and work risks when kneading fish crackers. There were three subjects studied in this research: the first employee was 28 years old, the second employee was 39 years old who had experience, and the…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1585062024
ANALISIS KEPUASAN PENGGUNA PADA PLATFORM E-HEALTH MENGGUNAKAN ENSEMBLE LEARNI…
The SATUSEHAT application, developed by Indonesia’s Ministry of Health, is a vital digital public service that combines health and technology to promote national development. To assess its impact, this study evaluates public satisfaction with SATUSEHAT by analyzing over 30,000 user feedback from the Google Play Store. Specifically, the research seeks to compare the effectiveness of single and…
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- xvii, 85 hlm.; ilus.; tab, 29 cm
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- T1893722025
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…
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- x, 10 hlm.; ilus.; tab, 29 cm
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- T1886572025
ANALISIS WACANA BERBASIS KORPUS PADA KOMENTAR YOUTUBE CHANNEL KOMPAS TV CUPLI…
The writing is entitled "Corpus-Based Discourse Analysis on Kompas Tv YouTube Channel Comments Video Clip of Megawati Soekarno Putri's Speech at the PDIP National Working Meeting II". This writing aims to analyze the discourse contained in the comments column of a video content that was controversial, namely video footage of Megawati's speech at the PDIP National Working Meeting II using corpus…
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- xvii, 66 hlm.; ilus.; 29 cm
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- T1513382024
FUNGSI PENGGUNAAN DISFEMISME DALAM TWITTER @SOSMEDKERAS MENGENAI KRITIKAN KEP…
ABSTRACT This language research was conducted with the aim of describing the function of dysphemism usage in Twitter @sosmedkeras regarding criticism of Virgoun using Zollner's dysphemism function, namely to belittle or express insults, to show dislike, to strengthen or sharpen insults, to provide a negative depiction of political opponents, both views, attitudes, and achievements, to express a…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1575082024
ANALISIS KELAYAKAN USAHA MIKRO KECIL MENENGAH (UMKM) BASO ACI AYAM SUWIR SNAC…
This research discusses the feasibility analysis of Micro Small and Medium Enterprises (MSME) Kayuagung District Ogan Komering Ilir Regency, South Sumatra. The objectives of this research are: (1) To describe the process of making Baso Aci Ayam Suwir Snackduta. (2) To describe the MSME Baso Aci Ayam Suwir Snackduta based on legal, management, market and marketing and environmental aspects. (3) …
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- ix, 74 hlm.; ilus.; 29 cm
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- T1577002024
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