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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
PENGEMBANGAN CHATBOT UNTUK KESEHATAN MENTAL DI ERA GENERASI Z MENGGUNAKAN FRA…
Generation Z is the largest demographic group in Indonesia and is increasingly vulnerable to mental health challenges. This study develops and evaluates a mental health chatbot using the Rasa framework and Natural Language Processing (NLP) to provide initial support for Generation Z. The chatbot was developed following the Rational Unified Process (RUP) methodology and integrated with the Teleg…
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- xvi, 84 hlm.; ilus.; tab.; 29 cm.
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- T1906862025
PENGENALAN PRODUK E-COMMERCE BERBASIS GAMBAR SECARA OTOMATIS MENGGUNAKAN CONV…
E-commerce has become a key pillar of the digital economy, supported by broad internet access and modern technology. However, text-based searches often cause difficulties, especially for products with complex descriptions. This study develops an automatic image-based e-commerce product recognition system using Convolutional Neural Network (CNN) with the VGG16 architecture. The Fashion Product I…
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- x, 111 hlm.; ilus.; 29 cm
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- T1919602026
REKOGNISI WAJAH PADA CITRA BERESOLUSI RENDAH MENGGUNAKAN ARCFACE DENGAN RESTO…
This study addresses the challenge of face recognition in low-resolution images captured by Unmanned Aerial Vehicles (UAVs). We propose an integrated pipeline that utilizes Generative Facial Prior-Generative Adversarial Network (GFPGAN) for image restoration and ArcFace as a feature extractor. The system was evaluated on the DroneFace dataset across varying distances and heights, comparing Cosi…
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- xvii, 131 hlm.; ilus.; tab.; 29 cm.
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- T1923372026
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…
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- xvi, 138 hlm.; ilus.; tab.; 29 cm.
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- T1923222026
ANALISIS KLASIFIKASI TINGKAT KEMISKINAN DENGAN ALGORITMA XGBOOST: STUDI KASUS…
Poverty remains a critical issue in Banyuasin Regency, South Sumatra, with a poverty rate of 9.31% in 2024, exceeding the national average of 8.47%. This study develops a poverty classification model using the XGBoost algorithm with SUSENAS 2024 data from Banyuasin Regency. The research employs 16 socioeconomic variables as features, with poverty status determined based on the Banyuasin poverty…
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- xvi, 155 hlm.; ilus.; tab.; 29 cm.
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- T1923102026
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBASIS PLATFORM GAME DIGITAL (RO…
This research is driven by the global perception of mathematics as a challenging subject that frequently induces anxiety among students, particularly at the secondary level. Digital Game-Based Learning (DGBL) has emerged as a proven strategy to significantly enhance student motivation and engagement. Digital platforms such as Roblox offer technological flexibility, allowing educators and studen…
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- xxii, VI-1 hlm.; ilus.; 29 cm
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- T1911902025
ANALISIS SEBARAN TOPIK ARTIKEL ILMIAH MENGGUNAKAN INDOBERT DAN K-MEANS
The significant increase in the number of scientific articles published along with advances in science and technology poses challenges in managing and organizing articles to support the efficiency of literature analysis. This research aims to develop a scientific article topic distribution analysis system by utilizing the IndoBERT model and the K-Means algorithm. The dataset used comes from 12 …
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- xviii, 75 hlm.; ilus.; 29 cm
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- T1629752024
PENERAPAN METODE LONG-SHORT TERM MEMORY DAN FASTTEXT PADA KLASIFIKASI UJARAN …
Hate speech on digital platforms poses a serious threat to social cohesion as it can lead to discrimination, conflict, and violence. This highlights the importance of developing automated detection systems to mitigate its impact and create safer digital spaces. To address this challenge, this study aims to develop a hate speech classification model in the Indonesian language using the Long Shor…
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- x, 83 hlm,; ilus.; 29 cm
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- T1629192024
KLASIFIKASI CITRA AKSARA HIRAGANA KUZUSHIJI MENGGUNAKAN SUPPORT VECTOR MACHIN…
Kuzushiji is a cursive writing style used in various classical Japanese manuscripts. Over time, this script has become difficult for modern readers to interpret. This condition encourages the need for research on the automatic classification of characters written in this style to support the study and understanding of classical Japanese texts. This study applies the Support Vector Machine (SVM)…
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- xv, 126 hlm.; ilus.; tab.; 29 cm.
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- T1903442025
IMAGE CAPTIONING UNTUK GENERASI PRA-DIAGNOSIS RADIOLOGI MENGGUNAKAN ARSITEKTU…
General vision-language models often face domain shift issues when applied to medical imaging. This study compares the performance of a general model (BLIP) against a medically pre-trained model (MedBLIP) for Chest X-ray reporting using the IU X-Ray dataset. Through quantitative metrics and expert pulmonologist validation, MedBLIP consistently outperformed BLIP, achieving a BLEU-4 of 0.0789, RO…
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- xv, 122 hlm.; ilus.; tab.; 29 cm
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- T1900742025
IMPUTASI DATA MEDIS HATI KRONIS MENGGUNAKAN ALGORITMA K- NEAREST NEIGHBORS IM…
Medical data related to chronic liver disease often contain missing values that can reduce the quality of data analysis and the accuracy of predictive models. Handling missing values properly is essential to ensure optimal classification performance. This study aims to apply and evaluate the K-Nearest Neighbor (KNN) Imputation method to address missing values in a medical dataset of liver cirrh…
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- xiii, 101 hlm.; ilus.; tab.; 29 cm
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- T1901092025
ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X MENGENAI PINJAMAN ONLINE DENGAN PER…
The rapid development of technology and social media has transformed the way people express their opinions on various issues, including online loan services. Application X has become a primary platform for users to openly share their views. This study aims to analyze user sentiment toward online loan services by comparing the performance of the XGBoost and Random Forest algorithms. From an init…
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- xiii, 87 hlm.; ilus.; tab.; 29 cm
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- T1901022025
KLASIFIKASI TULISAN TANGAN ARAB DENGAN HYBRID MOMENT INVARIANT-BACKPROPAGATIO…
This study presents a comparative analysis of Arabic handwritten character classification using the Hybrid Moment Invariant–Backpropagation (HMI-BP) and Convolutional Neural Network (CNN) approaches. The morphological complexity of Arabic script and the high variability in writing styles among writers demand models capable of distinguishing visually similar characters. The Arabic Handwritten …
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- xv, 139 hlm.; ilus.; tab.; 29 cm
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- T1899432025
KLASIFIKASI DIABETIK RETINOPATI DIABETES MELITUS MELALUI CITRA FUNDUS RETINA …
Diabetic retinopathy (DR) is a major complication of diabetes mellitus, characterized by damage to the retinal blood vessels and a high risk of blindness, particularly among individuals of productive age. Early detection of DR is essential, as the disease often presents no noticeable symptoms in its initial stages but can progress to permanent vision impairment if left untreated. This study aim…
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- xvii, 158 hlm.; ilus.; tab.; 29 cm
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- T1900622025
IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK
3D object coloring is an important stage in digital design and animation, but this process often takes a long time and tends to be monotonous. This research aims to develop a Blender add-on called AutoColorize, designed using Python to automate the coloring process. The add-on is equipped with features to generate color palettes and apply colors to selected objects. The test results show that u…
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- xiv, 67 hlm.; ilus.; 29 cm
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- T1632352024
OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTI…
Air is one of most importants thing in the world for all people, animals and plants. That’s why to check and maintain the air quality is one option to maintenance the world’s life. There are many way to check and maintain or even to predict the air polutions, and in this case i will use Fuzzy Inference System Mamdani. Not only with Fuzzy Inference System Mamdani, I will also optimize that w…
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- xvii, 67 hlm.; ilus.; 29 cm
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- T1631632024
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