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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
KLASIFIKASI PENYAKIT HEPATITIS MENGGUNAKAN TEACHING-LEARNING BASED OPTIMIZATI…
Hepatitis is one of the global health problems with a persistently high incidence rate and the potential to cause serious complications if not detected early. Meanwhile, the use of laboratory data for machine learning-based diagnosis still faces challenges such as missing values, imbalanced class distribution, and the limited application of optimal combinations of feature selection methods and …
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- xvi, 151 hlm.; ilus.; 29 cm
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- T1957692026
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
KLASIFIKASI JENIS BAKTERI CITRA MIKROSKOPIS MENGGUNAKAN CONVOLUTIONAL NEURAL …
Identifying bacteria traditionally takes 24–72 hours and is prone to human error. With bacterial infections and antimicrobial resistance causing over 1 million deaths annually, faster and more accurate methods are urgently needed. This study compares two deep learning models, ResNet-50 (a classic CNN) and ConvNeXt-Tiny (a modern CNN) for classifying microscopic bacteria images using the DIBaS…
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- xvi, 108 hlm.; ilus.; 29 cm
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- T1955792026
SISTEM REKOMENDASI PEMILIHAN LAPTOP MENGGUNAKAN KOMBINASI METODE ROC DAN MOORA
The increasing demand for laptops in the digital era is often not aligned with the ease of choosing the right specifications due to the vast variety of brands and features available in the market. This research aims to develop an objective Decision Support System (DSS) for laptop selection by integrating the Rank Order Centroid (ROC) method for criteria weighting and Multi-Objective Optimizatio…
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- x, 68 hlm.; ilus.; 29 cm
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- T1956342026
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 PERBANDINGAN ALGORITMA A* DAN JUMP POINT SEARCH DALAM PENCARIAN JALU…
Digital game development requires efficient pathfinding algorithms. This study compares A* and Jump Point Search (JPS) in a hill-climbing adventure game based on Roblox. The three-dimensional terrain was converted into a 181x209 uniform-cost two-dimensional grid with a cell size of 4 Roblox units. Both algorithms were implemented in Roblox Studio using Lua and the octile distance heuristic for …
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- xvii, 94 hlm.; ilus.; tab.; 29 cm.
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- T2010512026
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
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
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
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
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OPERATOR SELULER TERBAIK DI KELURAHAN TI…
Mobile network operator services play a crucial role in fulfilling the internet needs of the public. However, the large number of available options and the variety of packages often make it difficult for users to choose a suitable operator. This issue is experienced by students as newcomers in Timbangan Village, North Indralaya District, due to limited information regarding the quality of opera…
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- xxvii, VI-2 hlm.; ilus.; 29 cm
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- T1950302026
KLASIFIKASI TALENT SCOUTING RENANG MENGGUNAKAN HYBRID DECISION TREE DAN ALGOR…
Talent Scouting in sports is a systematic process of finding, identifying, and evaluating individuals who show potential for achievement from an early age, so that their talents can be developed through a tiered training program to achieve optimal performance. The use of classification methods is one effective solution to support this process. Classification is the main method in machine learni…
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- xxiii, 61 hlm.; ilus.; 29 cm
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- T1949882026
ANALISIS SENTIMEN PADA ULASAN APLIKASI MYPERTAMINA MENGGUNAKAN INDOBERT
The implementation of the MyPertamina application as a means of distributing subsidized fuel has triggered various responses from the public. User reviews on the Google Play Store platform serve as a vital data source that can be utilized to analyze public satisfaction. This study aims to classify the sentiment of MyPertamina application user reviews into positive and negative classes using the…
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- xxi, V-16 hlm.; ilus.; 29 cm
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- T1936142026
DETEKSI EKSPRESI MATEMATIKA PADA CITRA DOKUMEN DIGITAL MENGGUNAKAN ARSITEKTUR…
Scientific digital documents often contain crucial information presented in the form of isolated mathematical expressions. Conventional Convolutional Neural Network (CNN)-based object detection methods, such as Faster R-CNN and YOLO, generally rely on manual components like anchor boxes and Non-Maximum Suppression (NMS) processes, which limit the model's flexibility regarding complex visual str…
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- xvii, V-4 hlm.; ilus.; 29 cm
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- T1934092025
SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN PEMAIN PADA SIMULASI GAME HONKAI STAR …
Honkai Star Rail adalah sebuah game populer yang dikembangkan oleh Hoyoverse dengan sistem pertarungan turn-based RPG. Turn-based RPG dijalankan dengan penentuan giliran dilakukan setelah karakter menyelesaikan aksinya dan pemain harus memilih aksi disetiap giliran. Fuzzy logic merupakan salah satu dari metode pengambilan keputusan yang menggunakan nilai linguistik sebagai input dan memberikan …
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- xviii, VI-1 hlm.; ilus.; tab.; 29 cm
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- T1937802026
ANALISIS PENGARUH VARIASI RUANG WARNA PADA FITUR CLAHE TERHADAP KLASIFIKASI P…
Automatic classification of eye diseases (cataract, glaucoma, and diabetic retinopathy) is often constrained by low contrast and illumination bias in retinal fundus images. This research aims to analyze the effect of the Contrast Limited Adaptive Histogram Equalization (CLAHE) method on color space variations to improve the accuracy of the EfficientNet-B0 deep learning architecture. The evaluat…
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- xvi, 123 hlm.; ilus.; tab.; 29 cm.
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- T2003162026
KLASIFIKASI GANGGUAN TIDUR BERDASARKAN KONDISI FISIOLOGIS DAN GAYA HIDUP MENG…
Sleep disorders negatively impact rest quality and daily productivity. This study develops a classification model for sleep disorders using Machine Learning based on physiological conditions and lifestyle factors. The dataset consists of 15,000 records from Kaggle with balanced distribution across three categories: Healthy, Insomnia, and Sleep Apnea. Four algorithms were tested: Decision Tree, …
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- xi, 140 hlm.; ab.; 29 cm.
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- T1941242026
EKSTRAKSI FRASA KUNCI UNSUPERVISED MDERANK ARSITEKTUR MULTI-SKOR DAN FUSI PER…
Pertumbuhan eksponensial publikasi ilmiah menuntut adanya sistem temu kembali informasi yang efisien. Ekstraksi Frasa Kunci memegang peran fundamental dalam meringkas isi dokumen untuk keperluan pengindeksan dan peringkasan. Metode unsupervised berbasis embedding yang ada saat ini, seperti MDERank, memanfaatkan perturbasi semantik untuk mengidentifikasi frasa kunci namun sering kali mengabaika…
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- xix, V-15 hlm.; ilus.; 29 cm
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- T1935942026
CLUSTERING DATA GAJI KARYAWAN DI INDONESIA MENGGUNAKAN ALGORITMA KNN
Salary is an important aspect in the employment sector as it reflects job value and employee welfare. Along with the rapid growth of salary data availability, effective analytical methods are required to transform raw data into meaningful information. However, salary data are often complex and unlabeled, making direct analysis difficult. This study aims to group salary data using the K-Means al…
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- xvi, 83 hlm.; ilus.; 29 cm
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- T1932292026
SISTEM PENGAMBILAN KEPUTUSAN PEMBERIAN PINJAMAN PADA NASABAH BARU MENGGUNAKAN…
The process of assessing loan eligibility for new prospective customers at PT. Woori Finance Indonesia, Palembang 1 Branch, is still conducted manually, which may lead to inaccurate decisions and inefficiency. This study develops a decision support system based on the Fuzzy Sugeno method to improve efficiency and objectivity in the selection of new customers. The system uses three main paramete…
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- xiii, I-9 hlm.; ilus.; 29 cm
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- T1932502026
KLASIFIKASI TALENT SCOUTING RENANG MENGGUNAKAN HYBRID LOGISTIC REGRESSION DAN…
Talent identification (Talent Scouting) in swimming is a crucial stage in long-term athlete development; however, selection processes that rely on subjective judgment may lead to bias. This study aims to develop a more objective classification model for identifying potential swimming athletes using a Machine Learning approach. The dataset consists of 100 records with 13 variables, including ant…
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- xiii, 130 hlm.; ilus.; tab.; 29 cm.
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- T1931432026
SIMPLIFIKASI TEKS MENGGUNAKAN MODEL BART-BASE
Accessibility to scientific information is often hampered by complex language structures and diction, making it difficult for the general public to understand. This study aims to develop an automatic text simplification system using the fine-tuning method on the Pre-Trained Language Model BART-base to convert complex texts into simpler ones without reducing their main meaning. Using the WikiLar…
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- xvi, 130 hlm.; ilus.; tab.; 29 cm.
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- T1931672026
SISTEM REKOMENDASI SELEKSI PENERIMA MAKANAN TAMBAHAN UNTUK PENCEGAHAN STUNTIN…
Stunting remains a significant health problem in Indonesia, particularly among toddlers. The government has attempted to prevent stunting through various programs, one of which is the Supplementary Feeding Program (PMT) for toddlers. However, in practice, the distribution of PMT assistance is often not well-targeted due to the lack of an adequate support system. This study aims to develop a Dec…
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- viii, 234 hlm.; ilus.; 29 cm
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- T1919612026
ANALISIS SENTIMEN TERHADAP ULASAN APLIKASI MOBILE JKN BERBASIS INDOBERT
Mobile JKN is a digital innovation by BPJS Kesehatan designed to simplify access to National Health Insurance (JKN) services. However, user reviews on the Google Play Store indicate technical barriers affecting participant satisfaction. This study aims to analyze user sentiment using the IndoBERT model, a transformer-based architecture pre-trained on billions of Indonesian words to accurately r…
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- xvii, 146 hlm.; ilus.; tab.; 29 cm.
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- T1930602026
TRANSFORMASI ORIENTASI TEKS BALON PERCAKAPAN VERTIKAL PADA CITRA MANGA BERBAH…
Text in Japanese manga speech balloons is typically written vertically, whereas modern OCR technology is optimized for horizontal text. As a result, standard OCR engines like EasyOCR struggle to accurately read vertically oriented manga text. To address this issue, a method is proposed that uses character detection and text orientation transformation to improve OCR accuracy on vertical text. Sp…
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- xv, 104 hlm.; ilus.; tab.; 29 cm.
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- T1930522026
PERBAIKAN KUALITAS CITRA BAWAH AIR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (…
Underwater images suffer from degradation caused by light refraction and suspended particles, resulting in the appearance of noise, color casts, low contrast, and loss of fine details, hindering further vision tasks like object detection. This study implements Residual U-Net Model, incorporating Residual blocks onto each convolutional block in the encoder side to improve feature extraction and …
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- xiv, 103 hlm.; ilus.; tab.; 29 cm.
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- T1929542026
PENGARUH TEKNIK OVERSAMPLING DALAM KLASIFIKASI BAHASA DAERAH MENGGUNAKAN METO…
Regional language classification is one of the challenges in natural language processing due to the limited amount of data and the high lexical similarity among languages. This condition leads to data imbalance, particularly in minority classes, which can negatively affect model performance. This research aims to analyze the impact of oversampling techniques on the performance of the Long Short…
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- xv, 202 hlm.; ilus.; tab.; 29 cm.
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- T1929762026
PENDETEKSIAN SAMPAH BAWAH AIR MENGGUNAKAN METODE YOU ONLY LOOK ONCE DENGAN IN…
Plastic waste in aquatic ecosystems is a pressing global issue; however, underwater monitoring is often constrained by environmental conditions such as limited lighting and the small visual appearance of objects. Although the You Only Look Once (YOLO) algorithm excels in real-time detection, it still faces limitations in accurately detecting small objects. Therefore, this study aims to implemen…
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- xx, 143 hlm.; ilus.; tab.; 29 cm.
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- T1930022026
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