FORMULASI KRIM TABIR SURYA EKSTRAK ETANOL DAN FRAKSI DAUN SAMAK (SYZYGIUM URC…

Sun exposure can cause damage to the skin due to ultra violet (UV) radiation. Excessive and prolonged exposure to sunlight can damage the skin layer and can cause negative health effects Additional protection is needed to reduce the transmission of UV rays to the skin and is known as a sunscreen agent. Samak leaf (Syzygium urceolatum (Korth.) Merr. & L.M.Perry) has the potential as a sunscreen …

PENGARUH PUPUK NPK DAN KOMPOS TANDAN KOSONG KELAPA SAWIT TERHADAP KANDUNGAN N…

Tomato plants are a type of plant that can grow on various types of soil, one of which is Ultisol. In order to produce good growth and yield, cherry tomato plants require complete nutrients, both macro and micro with a balanced composition supplied from organic and inorganic fertilizers. The application of organic fertilizers combined with inorganic fertilizers can increase plant productivity a…

ANALISIS FUNDAMENTAL DAN RETURN SAHAM PERUSAHAAN SEKTOR INFRASTRUKTUR DI INDO…

Penelitian ini dilakukan untuk mengetahui analisis fundamental dan return saham perusahaan sektor infrastruktur di Indonesia. Metode penelitian yang digunakan adalah metode penelitian kuantitatif. Sampel pada penelitian ini sebanyak 90 dari Perusahaan sektor infrastruktur yang terdaftar sejak periode tahun 2018-2022. Hasil dari uji t menunjukkan bahwa Current Ratio dan Debt To Equity Ratio berp…

DOMINASI MASKULIN TERHADAP PEREMPUAN DALAM WEB SERIES LITTLE MOM

Llittle mom is an Indonesian drama webseries that tells the story of the teenage love life of Yuda and Naura who are experiencing ups and downs in their relationship. In this series there are several scenes that show how the domination of a man can be affect for the relationship. This research aims to analyze the male dominance of women through Yuda and Naura’'s relationship in the webseries …

REPRESENTASI KEKERASAN PADA ANAK DALAM FILM KOREA (Analisis Semiotika Model R…

Child abuse is an act against morals and the law. Miss Baek is a film from South Korea, which tells the story of a girl who experiences violence from her parents, causing physical scars and trauma. The purpose of this study is to determine the representation of violence against children in the movie Miss Baek. Data was obtained through observation, documentation and literature study with Qualit…

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…

Perhitungan struktural pada gedung bertingkat

Edition

-

ISBN/ISSN

978-634-010-342-7

Collation

xiv, 108 hlm.; 23 cm

Series Title

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Call Number

624.17 Mus p

ANALISIS SPASIAL DETERMINAN KEMATIAN IBU DI KABUPATEN MUARA ENIM TAHUN 2020-2022

Penggunaan layanan cloud telah menjadi semakin populer dalam beberapa tahun terakhir, memicu peningkatan permintaan terhadap sumber daya cloud computing yang lebih besar dan efisien. Hal ini menimbulkan tantangan baru dalam mengelola beban kerja yang semakin kompleks dan beragam. Penelitian ini bertujuan untuk memvalidasi efektivitas metode load balancing MTBLB (Multi-time Based Load Balancing)…

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…

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…

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, …

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…