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ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI GOJEK MENGGUNAKAN LONG SHORT TERM …
his study aims to analyze user sentiment toward the Gojek application using the Long Short-Term Memory (LSTM) method. Review data was obtained through scraping the Gojek application service, resulting in a dataset that was then classified into positive and negative sentiment categories. The data underwent class balancing using the undersampling technique, followed by a pre-processing stage that…
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- xiv, 19 hlm.; ilus.; 29 cm
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- T1957132026
ANALISIS SENTIMEN ULASAN FILM INTERNET MOVIE DATABASE (IMDB) MENGGUNAKAN BIDI…
The large and unstructured volume of IMDb movie review data makes it difficult to map the opinions of the audience manually. Therefore, this study aims to develop a sentiment analysis system using BERT to classify IMDb movie reviews into positive and negative categories. The data used is secondary data amounting to 50,000 English-language data. This research stage includes pre-processing of tex…
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- xix, 182 hlm.; ilus.; tab.; 29 cm.
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- T2010632026
DAMPAK INVESTASI ASING DI KEK SEI MANGKEI TERHADAP HUBUNGAN EKONOMI INTERNASI…
This study aims to analyze the impact of foreign investment in the Sei Mangkei Special Economic Zone (SEZ) on Indonesia's international economic relations. The Sei Mangkei SEZ, located in Simalungun Regency, North Sumatra, was developed by providing various fiscal and non-fiscal facilities to attract foreign investors and encourage national economic growth. This study uses a descriptive qualita…
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- xviii, 127 hlm.; ilus.; 29 cm
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- T1956402026
IMPLEMENTASI KOMUNIKASI PEMASARAN DIGITAL PALTV DI INSTAGRAM DALAM MODEL PESO
ABSTRAK Perkembangan media digital telah mendorong perubahan signifikan dalam strategi komunikasi pemasaran, khususnya pada industri media lokal yang dituntut untuk beradaptasi dengan pergeseran perilaku konsumsi audiens. Media sosial, terutama Instagram, menjadi salah satu platform strategis dalam membangun citra, meningkatkan interaksi, serta mempertahankan eksistensi media lokal. Penelitian …
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- xiv, 93 hlm.; ilus.; 29 cm
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- T1949712026
PREDIKSI VOLUME TOTAL TRANSAKSI HARIAN ETHERIUM MENGGUNAKAN METODE XGBOOST
The development of blockchain technology has increased cryptocurrency transaction activities, especially Ethereum, whose daily transaction volume is highly fluctuating. This condition makes transaction volume prediction important for understanding network activity patterns. This study aims to develop a prediction model for daily Ethereum transaction volume using the XGBoost Regressor algorithm.…
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- xv, 99 hlm.; ilus.; tab.; 29 cm.
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- T2012582026
PERAN UNWTO (UNITED NATIONS WORLD TOURISM ORGANIZATION) DALAM PENGEMBANGAN PA…
erikut adalah ketikan ulang dari dokumen pada image_d5154e.jpg: The COVID-19 pandemic had a significant impact on the global tourism sector, with Turkey experiencing a drastic decline in 2020. In this context, UNWTO as the UN specialized agency for tourism plays a strategic role in facilitating tourism sector recovery. The programs implemented by UNWTO include Tourism Recovery Tracker to monito…
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- vi, 96 hlm.; ilus.; tab.; 29 cm.
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- T2007342026
HUBUNGAN KEBUTUHAN CONTINUOUS RENAL REPLACEMENT THERAPY (CRRT) DENGAN MORTALI…
Background: Acute Kidney Injury (AKI), the most serious complications in critically ill patients admitted to the Intensive Care Unit (ICU). Under these conditions, the required renal replacement therapy modality that can be performed in the ICU is Continuous Renal Replacement Therapy (CRRT). However, the mortality rate remains high in patient with CRRT. This study aims to analyze the relationsh…
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- xix, 210 hlm.; ilus.; 29 cm
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- T1955432026
ASSOCIATION BETWEEN SERUM VITAMIN D LEVELS AND SEPSIS SEVERITY IN THE INTENSI…
Background: An excessive inflammatory response and dysregulation of the immune system in severe sepsis may progress to septic shock and increase mortality. Vitamin D plays an important role in immune modulation. This study aimed to analyze the association between vitamin D levels and sepsis severity and to determine the cut-off point of vitamin D associated with the risk of septic shock in ICU …
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- xvii, 210 hlm.; ilus.; 29 cm
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- T1956162026
COMPARISON OF THE EFFECTIVENESS OF PARACETAMOL–KETOROLAC AND PARACETAMOL–…
Background: Postoperative pain in laparotomy patients poses a significant clinical challenge due to extensive tissue trauma and systemic inflammatory response. Non-opioid multimodal analgesia has become the primary strategy to optimize pain control while minimizing opioid use. A direct comparison between paracetamol–ketorolac and paracetamol–ketamine combinations for postoperative pain mana…
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- xiii, 37 hlm.; ilus.; 29 cm
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- T1956152026
PENGEMBANGAN INSTRUMEN PENILAIAN BERBASIS CASE METHOD UNTUK MENGUKUR KEMAMPUA…
This study aimed to produce a case method-based assessment instrument to measure students’ critical thinking skills. The subjects of this study were Grade XI students of SMA Negeri 1 Indralaya Utara. The method used was Research and Development (R&D) with the ADDIE model. Data collection techniques included interviews, walkthroughs, questionnaires, and observations, while data were analyzed u…
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- xix, 192 hlm.; ilus.; tab.; 29 cm.
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- T2008772026
REPRESENTASI CULTURAL POWER INDONESIA DALAM AJANG MISS SUPRANATIONAL TAHUN 2024
This study aims to analyze how Indonesia's cultural power is represented in the Miss Supranational 2024 pageant as part of a cultural diplomacy strategy and the strengthening of soft power at the global level. This research employs a qualitative approach using a descriptive method through a literature review of documents, academic sources, and data related to the Miss Supranational pageant and …
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- xvi, 71 hlm.; ilus.; tab.; 29 cm.
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- T2009662026
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMARTWATCH MENGGUNAKAN VIKOR DENGAN OPTI…
The development of wearable technology has increased the use of smartwatches as devices that support daily activities and health monitoring. However, the large number of product choices with conflicting specifications and technical criteria makes the smartwatch selection process complex. This study aims to develop a web-based Decision Support System (DSS) for smartwatch selection by integrating…
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- xv, 126 hlm.; ilus.; tab.; 29 cm.
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- T2010422026
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI DANA DI GOOGLE PLAY STORE MENGGUNA…
This research aims to develop an automated sentiment analysis model using a hybrid method of Random Forest (RF) and Support Vector Machine (SVM) to evaluate DANA application user reviews on the Google Play Store. A total of 50,001 secondary review data from Kaggle were used in this study, partitioned into 80% training data and 20% testing data. The analysis process includes text preprocessing a…
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- xvii, 106 hlm.; ilus.; tab.; 29 cm.
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- T2008192026
EFEKTIVITAS PENAMBAHAN RESVERATROL TERHADAP KADAR TRANSFORMING GROWTH FACTOR-…
Background: Diabetic kidney disease (DKD) is driven by oxidative stress, inflammation, and profibrotic signaling, with transforming growth factor-β (TGF-β) as a key mediator. This trial assessed whether adjunct resveratrol improves serum TGF-β, albuminuria, and glomerular filtration rate (GFR) in adults with DKD. Methods: In a double-blind, randomized, placebo-controlled trial (October 2025…
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- xi, 139 hlm.; ilus.; tab.; 29 cm.
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- T2011262026
MODEL PERMINTAAN SKINCARE BERLABEL HALAL (STUDI KASUS MAHASISWA DI KOTA PALEM…
This study aims to analyze the effect of price, income, religiosity, perception, and product quality on the demand for halal-labeled skincare (a case study of students in Palembang City). This study used primary data from 100 respondents through a non-probability sampling method with an accidental sampling approach. The data were analyzed using multiple linear regression analysis with the assis…
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- xx, 151 hlm.; ilus.; tab.; 29 cm.
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- T2010402026
PEMODELAN 3D FASIES PADA INTERVAL RESERVOAR FORMASI TALANG AKAR DI LAPANGAN …
This study was conducted at the “KRG” Field to understand the reservoar characteristics through facies log interpretation, sequence stratigraphic analysis, and 3D facies distribution modeling. The study is important because reservoar heterogeneity and facies distribution influence hydrocarbon potential estimation and field development planning. Regionally, analyses using well log data from …
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- xviii, 85 hlm.; ilus.; tab.; 29 cm.
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- T2008802026
ANALISIS RISIKO KESELAMATAN DAN KESEHATAN KERJA (K3) PADA PROYEK PEMBANGUNAN …
The construction project of the Sport Center Building and Parking Building at Kejaksaan Tinggi Sumatera Selatan is a multistory building project with a high level of complexity and potential occupational safety and health hazards at every stage of the work. This study aims to analyze occupational safety and health risks quantitatively using hazard identification, risk assessment, and determinin…
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- xviii, 179 hlm.; ilus.; 29 cm
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- T1950502026
ANALISIS SENTIMEN MASYARAKAT PADA KOMENTAR INSTAGRAM TERHADAP PROGRAM PEMERIN…
Sustainable development is the main focus of local governments in their efforts to improve community welfare, particularly through the achievement of Sustainable Development Goals (SDGs). One of these goals, SDG 6 (Clean Water and Sanitation), emphasizes the importance of access to clean water and proper sanitation for all. This study aims to analyze public sentiment towards the Palembang City …
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- xviii, 55 hlm.; ilus.; 29 cm
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- T1949112026
KLASIFIKASI TALENT SCOUTING RENANG MENGGUNAKAN HYBRID BACKPROPAGATION DAN ALG…
Conventional talent scouting systems for potential swimming athletes still rely on subjective assessments by coaches, potentially leading to bias and measurement errors. To address this issue, this study developed a Hybrid Backpropagation–Genetic Algorithm-based classification system to identify potential athletes based on distance specialization. The data used consisted of 100 potential athl…
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- xxxv, V-15, 163 hlm.; ilus.; 29 cm
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- T1950762026
FAKTOR YANG MEMPENGARUHI KEGAGALAN PEMBUATAN PRODUK PADA PRAKTIK LAS BUSUR (S…
This study aimed to identify the factors influencing product manufacturing failures in Shielded Metal Arc Welding (SMAW) practice at the Mechanical Engineering Education Study Program, Universitas Sriwijaya. This research employed a quantitative descriptive method with 46 students selected using proportional random sampling. Data were collected through questionnaires and documentation and analy…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T2009752026
DIPLOMASI INDONESIA MELALUI NCB INTERPOL DALAM PENYELAMATAN KORBAN TPPO DI MY…
Tindak Pidana Perdagangan Orang (TPPO) merupakan kejahatan transnasional yang mengancam keamanan manusia dan memerlukan kerja sama lintas negara dalam penanganannya. Penelitian ini bertujuan menganalisis diplomasi Indonesia melalui National Central Bureau (NCB) Interpol dalam penyelamatan korban TPPO di Myanmar pada tahun 2024–2025. Penelitian menggunakan metode kualitatif deskriptif dengan t…
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- xvi, 110 hlm.; ilus.; tab.; 29 cm.
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- T1998632026
SIKAP SISWA SMP TERHADAP PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING MATERI …
This study aims to describe students' attitudes towards learning with a deep learning approach on algebraic forms at SMP Negeri 17 Palembang. This study is a descriptive study with 33 students of class VII.9 at SMP Negeri 17 Palembang as subjects. Data collection techniques used were questionnaires and interviews. The questionnaires were tested for validity and reliability. The results showed t…
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- xii, 136 hlm.; ilus.; 29 cm
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- T1950212026
PERBANDINGAN LOGISTIC REGRESSION DAN XGBOOST DALAM KLASIFIKASI KONDISI MENTAL…
Accurate mental state identification is important across various fields, and EEG is a biomedical signal widely used for this purpose as it can directly and non-invasively record brain electrical activity. However, the complex, nonlinear, and high-dimensional characteristics of EEG signals require effective classification methods. This study aims to implement and compare the performance of Logis…
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- xiv, 108 hlm.; ilus.; tab.; 29 cm.
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- T2010352026
IMAGE CAPTIONING BERBASIS DEEP LEARNING PADA CITRA REUMATOLOGI
The advancement of medical imaging technology has produced increasingly complex data that require fast and accurate analysis. However, the interpretation of medical images still requires considerable time, relies heavily on medical professionals, and is prone to interpretation errors. Therefore, this study aims to develop an Image Captioning system capable of automatically generating descriptio…
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- xvii, 106 hlm.; ilus.; tab.; 29 cm.
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- T2009632026
PENGEMBANGAN RAG DOMAIN-ADAPTIVE HUKUM INDONESIA MELALUI FINE TUNING LLM BERB…
This study develops NusantaraLaw, a Domain-Adaptive Retrieval-Augmented Generation (RAG) system for Indonesian law via QLoRA fine-tuning of the Qwen 3.5 9B model on a national legal corpus. A dataset of 6,502 instruction-response pairs was curated from eight official legal sources and validated by two legal experts via Stratified Random Sampling (250 samples, margin of error 6.96 percent). Four…
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- xix, 266 hlm.; ilus.; tab.; 29 cm.
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- T2009102026
DETEKSI KERUSAKAN JALAN MENGGUNAKAN YOLOV11 DAN SLICING AIDED HYPER INFERENCE
This study investigates automated road damage detection by combining the YOLOv11 algorithm with the Slicing Aided Hyper Inference (SAHI) approach on the multinational RDD2022 dataset, covering four damage categories: Longitudinal Crack (D00), Transverse Crack (D10), Alligator Crack (D20), and Pothole (D40). Ten YOLOv11 training experiments and eleven SAHI hyperparameter configurations were cond…
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- xvi, 148 hlm.; ilus.; tab.; 29 cm.
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- T2008822026
IMAGE CAPTIONING BERBASIS DEEP LEARNING PADA CITRA JANTUNG ANAK
Diagnosis of congenital heart disease in children, namely Atrial Septal Defect (ASD), Atrioventricular Septal Defect (AVSD), and Ventricular Septal Defect (VSD), is hindered by the limited availability of cardiologists in interpreting echocardiography images, necessitating an automated system based on artificial intelligence. This study implements and evaluates a deep learning-based image capti…
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- xvi, 112 hlm.; ilus.; tab.; 29 cm.
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- T1999602026
GENERATIVE AI BERBASIS DEEP LEARNING PADA ANALISIS CITRA ULTRASONOGRAFI
Ultrasound (USG) image analysis for detecting Congenital Heart Disease (CHD), such as Atrial Septal Defect (ASD), Ventricular Septal Defect (VSD), and Atrioventricular Septal Defect (AVSD), is still limited by the scarcity of clinical datasets. This study evaluates three Generative Adversarial Network (GAN) architectures, namely Deep Convolutional GAN (DCGAN), Wasserstein GAN with Gradient Pena…
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- xiv, 103 hlm.; ilus.; tab.; 29 cm.
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- T2009922026
PERBANDINGAN ANTARA EARLY CORD CLAMPING DAN DELAYED CORD CLAMPING TERHADAP LU…
Background: Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality globally, particularly in developing countries. As part of strategies aimed at preventing and managing PPH, the timing of umbilical cord clamping is an important component of active management of the third stage of labor and may influence both maternal and neonatal outcomes. Early cord clamping a…
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- xx, 110 hlm.; ilus.; tab.; 29 cm.
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- T2004132026
AKURASI PENILAIAN RISIKO PERDARAHAN AWHONN DALAM MEMPREDIKSI PERDARAHAN PASCA…
Background: Postpartum hemorrhage (PPH) accounts for 25% of annual maternal deaths. Postpartum risk assessment tool for PPH from The Association of Women's Health, Obstetric, and Neonatal Nurses (AWHONN) can predict PPH from maternal admission status, although the use of the tool has not been studied in Palembang. Objective: This study aims to examine the role of AWHONN risk assessment tool in …
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- xxi, 141 hlm.; ilus.; tab.; 29 cm.
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- T2009932026
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