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NAMED ENTITY RECOGNITION (NER) PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNI…
Pengolahan dokumen tekstual sering kali membutuhkan identifikasi informasi penting seperti nama orang, tempat, dan lembaga, namun proses manual memakan waktu dan kurang efisien. Named Entity Recognition (NER) menjadi solusi otomatis untuk tugas ini, tetapi penerapannya dalam bahasa Indonesia menghadapi tantangan seperti variasi dialek dan struktur linguistik yang kompleks. Penelitian ini menggu…
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- xvi, 107 hlm.; ilus.; 29 cm
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- T1619942025
SISTEM CHATBOT INFORMASI WISATA DI KOTA PALEMBANG MENGGUNAKAN MODEL LONG SHOR…
The rapid development of information technology has led to various innovations that simplify human activities, including the search for information through intelligent search engines such as Google, Bing, and Yahoo. However, the abundance of information available on the internet, especially related to tourism, often makes it difficult for users to find accurate and reliable information. Therefo…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1620032024
OPTIMASI ALGORITMA SUPPORT VECTOR MACHINE (SVM) DENGAN PARTICLE SWARM OPTIMIZ…
X (Twitter), with 237.8 million daily active users mostly aged 18 to 29, has become one of the largest and most influential communication platforms in the world. However, despite its potential as a tool for information sharing and interaction, X (Twitter) also presents major challenges in terms of online behavior. One of the main problems that has emerged is the rise of hate speech, which can d…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1621972024
KLASIFIKASI GENRE MUSIK MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATASET…
As music genres diversify and online music libraries grow, the need for automated, accurate genre classification has become essential for efficient music organization and recommendation. In this research, we developed a music genre classifier using a custom Convolutional Neural Network (CNN) trained on mel-spectrogram images derived from the GTZAN dataset. The GTZAN dataset is a widely used ben…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1619952024
ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN APLIKASI DANA DI GOOGLE PLAY STO…
DANA is an Indonesian financial technology company that provides infrastructure to support digital wallets in the modern era. With the DANA app, users can store money and make payments without using cash or cards, both for online and offline transactions, with speed, convenience, and guaranteed security. Although offering various conveniences, the DANA app still receives a variety of reviews fr…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1620222024
PEMBANGKITAN PARAFRASA MENGGUNAKAN METODE TRANSFORMER
Paraphrase generation is a part of text generation or Natural Language Generation (NLG) that aims to create paraphrased sentences with a different words or structure from the input sentence without altering its original meaning. This research builds a paraphrase generation system using the Transformer method. The results of the study indicate that the paraphrase generation model was successfull…
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- xviii, 111 hlm.; ilus.; 29 cm
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- T1620062024
DETEKSI OBJEK LIGHTWEIGHT LOW IMAGE MENGGUNAKAN ARSTITEKTUR YOLOv5.
Object detection is the process of identifying and localizing a specific object in an image or video that aims to recognize the presence and position of the object specifically. This technology has various applications in daily life, such as face detection to open smartphones. However, a major challenge in object detection is the camera's sensitivity to light intensity. In low lighting conditio…
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- xii, 133 hlm.; ilus.; 29 cm
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- T1619852024
KLASIFIKASI EMOSI MULTI-LABEL PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNIN…
The rapid growth of social media interactions in Indonesia has generated a massive volume of text data containing diverse emotional expressions. The linguistic complexity and contextual richness of the Indonesian language make emotion identification and classification a challenging task. To address this issue, this study develops a multi-label emotion classification system by applying fine-tuni…
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- xiv, 111 hlm.; ilus.; tab.; 29 cm.
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- T1855742025
ANALISIS KINERJA MODEL KEYPHRASE GENERATION BERBASIS PARADIGMA ONE2SET PADA A…
The rapid growth of digital content makes online news management increasingly challenging, as vast document streams demand compact representations of core information. Keyphrases provide concise lexical surrogates for main topics and support indexing, retrieval, and summarization, yet limited annotations motivate automatic systems that can predict both present and absent keyphrases. This study …
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- xviii, 187 hlm.; ilus.; tab.; 29 cm.
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- T1855472025
OTOMATISASI PLAYER CHARACTER PADA PERMAINAN ULAR DIGITAL DENGAN RINTANGAN ACA…
Player character requires a user to control its movements. The automation of a player character aims to create an agent capable of replacing the user. Deep Q-Learning (DQL) is one of the reinforcement learning algorithms commonly employed for automating player characters. This study implements the automation of a player character while introducing random obstacles into the game environment. The…
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- xv, 98 hlm.; ilus.; tab.; 29 cm.
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- T1849152025
KLASIFIKASI EMOSI TEKS SINGKAT MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM)
Short text messages, such as those found on social media and messaging platforms, often reflect the emotional expressions of users. Emotion clasification in these texts has significant potential for applications such as sentiment analysis and content personalization. This study aims to develop a short text emotion clasification model using the Long Short-Term Memory (LSTM) method. The dataset u…
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- xiii, 73 hlm.; ilus.; tab, 29 cm
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- T1806512025
VEHICLE ROUTING PROBLEM WITH TIME WINDOWS DENGAN PENDEKATAN FIREFLY ALGORITHM…
The distribution of goods in the food and beverage industry often faces challenges related to vehicle capacity limitations and customer time windows. This issue can be modeled as a Vehicle Routing Problem with Time Windows (VRPTW). To obtain an efficient solution, this study proposes a hybrid approach by combining the Nearest Neighbor (NN) heuristic for initial solution construction and the Fir…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1852892025
KLASIFIKASI SPESIES BURUNG MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Indonesia, with its high biodiversity, is home to 1,539 bird species, some of which have morphological similarities that make manual identification challenging.This research aims to develop a bird species classification model in Indonesia using a Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture to improve identification accuracy and speed. The model was trained using 10 …
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- xvi, 120 hlm.; ilus.; tab.; 29 cm.
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- T1852372025
PENINGKATAN KUALITAS CITRA DENGAN METODE RETINEX UNTUK DETEKSI WAJAH PADA CIT…
Facial images captured under low-light conditions often suffer from visual degradation, including low contrast, inadequate brightness, and loss of important details, which negatively impact face detection accuracy. This study aims to enhance the quality of low-light images using the Retinex method as a preprocessing step and to evaluate its effect on the performance of the YOLOv5 face detection…
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- xvii, 71 hlm.; ilus,; tab, 29 cm
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- T1835652025
KLASIFIKASI TREN TUGAS AKHIR MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA UNIVE…
The final project is a critical component of higher education, particularly in computer science and informatics, which continues to evolve rapidly, influencing the direction of academic research. This study aims to classify the trends in final project topics among students of the Informatics Engineering Program at Universitas Sriwijaya during the 2019–2023 period using the Latent Dirichlet Al…
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- xv, 138 hlm.; ilus.; tab.; 29 cm.
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- T1845932025
PEMBANGKITAN TINGKAT BANTUAN ADAPTIF PADA PERMAINAN PEMBELAJARAN PEMROGRAMAN …
Educational games require an adaptive assistance level system to adjust the level of help provided according to the player's ability. This study aims to develop an adaptive assistance level system based on fuzzy logic using the Mamdani and Sugeno methods, with inputs including stars, completion, and time. The system was implemented using the Python programming language and tested with 1,000 sim…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1812992025
PEMBANGKITAN TEKS BANTUAN OTOMATIS DAN PENGUKURAN KEPUASAN PEMAIN PADA PERMAI…
Penelitian ini membahas mengenai game edukasi pemograman dengan bantuan adaptif. Game ini memiliki puzzle yang harus di selesaikan dengan memasukkan algoritma yang tepat. Demi memunculkan bantuan yang ccok dengan pemain dibutuhkan algoritma FUZZY LOGIC untuk menentukan bantuan mana yang akan di keluarkan. Pengujian yang dilakukan pada penelitian ini merupakan pengujian untuk mendapatkan data ke…
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- xvi, 175 hlm.; ilus.; tab.; 29 cm.
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- T1812902025
SISTEM PENDETEKSIAN EMOSI MULTI-WAJAH MENGGUNAKAN METODE CONVOLUTIONAL NEURAL…
This research aims to develop and implement a real-time multi-face detection and emotion recognition system. The Haar Cascade method is used in the face detection stage to identify the position of faces in the image, while the Convolutional Neural Network (CNN) is used in the emotion classification stage based on the detected faces. The datasets used include FDDB for face detection testing and …
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1832632025
ANALISIS SENTIMEN TERKAIT APLIKASI CHATGPT MENGGUNAKAN BERT DAN RNN
ChatGPT has become one of the most popular artificial intelligence tools worldwide, but its rapid adoption has also generated diverse user reactions and reviews. Understanding these perceptions is important for evaluating and improving service quality. Sentiment analysis is a suitable approach to explore such opinions. This study employs BERT (Bidirectional Encoder Representations from Transfor…
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- xvi, 98 hlm.; ilus.; tab.; 29 cm.
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- T1798522025
ANALISIS SENTIMEN ULASAN E-COMMERCE SHOPEE TERKAIT FITUR COD DENGAN MENGGUNAK…
The rapid development of e-commerce in Indonesia has driven significant changes in people's shopping patterns, with Shopee as one of the most popular platforms. One of the superior features offered is Cash on Delivery (COD), which provides a sense of security for users in making transactions. However, this feature also raises various responses that are reflected in user reviews of the COD featu…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1797632025
KLASIFIKASI SAMPAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN)
Effective waste management is a major challenge in maintaining environmental cleanliness and sustainability. One important step is waste separation, such as distinguishing between organic and inorganic waste. Organic waste, such as food scraps and dry leaves, can be processed into compost or environmentally friendly energy. Meanwhile, inorganic waste, such as plastic, glass, and metal, can be r…
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- xiii, 104 hlm.; ilus.; tab.; 29 cm.
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- T1801462025
KLASIFIKASI ARAH PERGERAKAN INDEKS HARGA SAHAM GABUNGAN DI BURSA EFEK INDONES…
The Indonesian stock market as a strategic investment instrument with high volatility requires an accurate prediction system to minimize investor losses and increase profits. The technical and fundamental analysis methods that have been used have limitations, such as reliance on historical data and lack of consideration for external factors. With technological advancements, machine learning alg…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1796112025
PENGEMBANGAN GAME DOODLE DENGAN PENILAIAN GAMBAR OTOMATIS MENGGUNAKAN MODEL CNN
In the era of artificial intelligence (AI) development, the integration of machine learning technology in games continues to advance. This study aims to develop a Convolutional Neural Network (CNN) model that functions as an automatic evaluation agent for doodle images in a drawing game. The CNN model is trained using the Google Quick Draw dataset to recognize images created by players. Evaluat…
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- xv, 96 hlm.; ill.; tab.; 29 cm.
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- T1733502025
PREDIKSI POLYCYSTIC OVARY SYNDROME (PCOS) PADA CITRA ULTRASONOGRAFI MENGGUNAK…
Polycystic Ovary Syndrome (PCOS) is a common endocrine system disorder affecting women of reproductive age and a leading cause of infertility. Early detection is crucial to prevent long-term complications, and ovarian ultrasonography images have emerged as an effective non-invasive tool in supporting PCOS diagnosis. This study aims to compare and optimize the performance of Convolutional Neural…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1795772025
KLASIFIKASI SHORT MESSAGE SERVICE (SMS) SPAM MENGGUNAKAN SUPPORT VECTOR MACHI…
Short Message Service (SMS) is still used as a communication medium for promotions, notifications, and official information. However, SMS is also prone to misuse in the form of spam that can be disruptive and potentially deceive users. To address this issue, an accurate SMS spam and ham classification system is needed. This study developed an SMS spam classification system using SVM and ANN wit…
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- xxii, 549 hlm.; ilus.; tab.; 29 cm.
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- T1794212025
KLASIFIKASI KESEHATAN MENTAL BERDASARKAN UNGGAHAN MEDIA SOSIAL MENGGUNAKAN TF…
Mental health is a critical issue in global public health, especially in the digital era where individuals often express their psychological conditions through social media posts. This study aims to develop a multi-class classification model to detect mental health conditions based on social media text using TF-IDF (term frequency–inverse document frequency) for feature extraction and XGBoost…
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- xiii, 97 hlm.; ilus.; tab.; 29 cm.
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- T1793732025
SENTIMEN ANALISIS KOMENTAR INSTAGRAM PADA AKUN MATA NAJWA MENGGUNAKAN METODE …
Instagram is one of the most popular social media platforms that is not only used to share pictures and videos, but also as a means of discussion on various social, political and cultural issues. One of the most active and influential accounts in Indonesia is the Mata Najwa account, which often triggers public discussion through the comments section. The large number of incoming comments create…
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1788862025
KLASIFIKASI KOMPOSISI MAKANAN UNTUK DETEKSI ALERGEN PENYAKIT ECZEMA MENGGUNAK…
Eczema, or Atopic Dermatitis, is a skin condition often triggered by certain allergens in food. The increasing prevalence of eczema requires a solution to help individuals prone to allergies recognize potential allergens in packaged food products. This study aims to develop a food composition classification system to detect allergens that may trigger eczema using the Long Short-Term Memory (LST…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1627252024
SISTEM TANYA JAWAB EKSTRAKTIF PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNIN…
The abundance of digital information in today's era makes the extraction of relevant information a major challenge, especially in Indonesian, which has unique linguistic characteristics. As an effort to overcome this challenge, this study develops an extractive question-answering system for Indonesian text by fine-tuning the IndoBERT model, which enables the system to extract specific parts of …
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- xvii, 61 hlm.; ill.; tab.; 29 cm.
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- T1735832025
PENGEMBANGAN SISTEM PENDETEKSI PENYAKIT TANAMAN PADA CITRA DAUN MENGGUNAKAN A…
Detection of plant diseases through visual observation of leaves manually has several limitations and takes a long time. This research develops an Android application-based plant disease detection system that can identify plant diseases through leaf images using the Convolutional Neural Network (CNN) algorithm. The dataset used in this research comes from Kaggle Disease Classification, which co…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1627762024
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