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…

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…

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…

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 …

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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 …

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…

DETEKSI HATE SPEECH DAN ABUSIVE LANGUAGE DALAM KOMENTAR SOSIAL MEDIA X MENGGU…

Social media has become an important platform for users to interact, share opinions, and share information. However, it increases the risk of spreading harmful content such as hate speech and abusive language, which harms individuals and the online environment. This research aims to classify hate speech and abusive language using the Support Vector Machine method. The data used in this research…

ANALISIS KINERJA KEYBART DAN TRANSFORMER UNTUK KEYPHRASE GENERATION PADA DATA…

Keyphrase play an important role in applications such as information retrieval, text summarization, recommendation systems, and indexing of scientific documents. However, the automated process of generating key phrases still faces major challenges, especially when faced with complex English scientific articles rich in technical terms. Transformer-based generative approaches often produce phrase…

KLASIFIKASI LEVEL ROASTING PADA BIJI KOPI MENGGUNAKAN ALGORITMA CONVOLUTIONAL…

Coffee roasting is the process of roasting coffee beans to bring out the aromas and flavors locked inside the beans. Roasted coffee beans are initially green in color which is then roasted in a certain temperature and time which causes the color to change to brown. This research aims to classify the roasting level of coffee beans using convolutional neural network (CNN) algorithm with ResNet50V…

DETEKSI KEBAKARAN BERDASARKAN VIDEO MENGGUNAKAN MASK R-CNN

Fire is one of the disasters that can cause great losses, both in terms of loss of life and economic loss. Fast and accurate fire detection is the main key to prevent fires from getting bigger and out of control. This study aims to develop a fire detection system using a video camera that can provide fire information as quickly as possible. This fire detection system uses Mask R-CNN model to de…

PREDIKSI WAKTU JASA SERVICE PT. GOBEL DHARMA NUSANTARA MENGGUNAKAN DECISION TREE

PT. Gobel Dharma Nusantara (GDN), a subsidiary of the Gobel Group providing service for Panasonic products, handles an average of 8,000 transactions per month. A prediction system is therefore necessary to help analyze this data effectively. This research aims to build a time prediction system using the Classification and Regression Tree (CART) algorithm to predict service patterns based on his…

PERBANDINGAN FUZZY INFERENCE SYSTEM TSUKAMOTO DAN MAMDANI DALAM MEMPREDIKSI T…

Stunting is a growth disorder in toddlers characterized by a height below the age-standard due to chronic nutritional deficiencies. This study aims to design and compare prediction models for stunting levels using two Fuzzy Inference System (FIS) methods: Tsukamoto and Mamdani. The data used comes from the secondary dataset "data set clustering gizi" obtained from Kaggle, consisting of 495 todd…

KLASIFIKASI BERITA HOAX BAHASA INDONESIA MENGGUNAKAN METODE LSTM (LONG SHORT …

Hoax news poses a serious threat in the current digital environment as it harms society by disseminating false and misleading information. Detecting hoax news is essential to maintain the integrity of information, prevent the spread of misinformation, and safeguard public safety. This research adopts a classification approach to hoax news based on LSTM (Long Short-Term Memory) with the utilizat…

KLASIFIKASI SMS MENGGUNAKAN METODE SELEKSI FITUR MUTUAL INFORMATION (MI), ALG…

Communication media such as SMS (Short Message Service) is now rarely used, but SMS is still needed because it can still be useful for users in receiving information. However, problems arise due to fraudulent messages. Thus, SMS classification becomes important by using the Synthetic Minority Oversampling Technique (SMOTE) method which can balance unbalanced data, Mutual Information (MI) which …

DETEKSI KATA KASAR DALAM LIRIK LAGU BERBAHASA INGGRIS MENGGUNAKAN MODEL BERT

Music plays a significant role through digital streaming platforms, while concerns about offensive language in lyrics, especially among young listeners, require attention. This study develops a BERT-based model to detect offensive language in English song lyrics. The dataset comprises 3,598 lyrics, divided into training 2,878 data, validation 360 data, and test 360 data. Experiments tested 12 p…

PREDIKSI JUMLAH PRODUKSI KERTAS A3 MENGGUNAKAN ALGORITMA PROPHET

The era of globalization has driven intense competition among businesses, forcing them to become smarter in fulfilling customer demand. One strategy adopted by companies is using machine learning to predict customer demand. This study focuses on the use of the Prophet algorithm developed by Meta or Facebook and published in 2017. The Prophet algorithm is resilient to missing data, changes over …

PENGEMBANGAN CHATBOT MENGGUNAKAN BERT UNTUK LAYANAN BANTUAN TERKAIT PRODUK APPLE

Edition

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ISBN/ISSN

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Collation

xviii, 68 hlm.; tab.; 29 cm.

Series Title

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Call Number

T1734232025

OPTIMASI STRATEGI PEMILIHAN PEMAIN SEPAK BOLA PADA PRO EVOLUTION SOCCER 2017 …

This study aims to optimize the process of selecting football players in the PES 2017 game using genetic algorithms. The optimization is conducted to identify the best combination of players based on the average player ratings over a season, thereby maximizing team performance in the game. The methodology employed in this research is experimental, utilizing the application of genetic algorithms…

KLASIFIKASI UJARAN KEBENCIAN DI MEDIA SOSIAL APLIKASI X MENGGUNAKAN RANDOM FO…

Classification is one of the fields of Natural Language Processing that automates the classification of text into one or more appropriate categories based on its content by building a model using training data. This study aims to classify hate speech tweets on application X using Random Forest and Synthetic Minority Oversampling Technique (SMOTE). The Random Forest approach is used because of i…

ANALISIS KINERJA MODEL T5 DAN BART DALAM KEYPHRASE GENERATION PADA DATASET AR…

Keyphrase Generation is a task in Natural Language Processing that aims to extract keyphrases that represent the main content of a document. The increase in the number of scientific publications has made the manual annotation process inefficient and prone to subjectivity. Therefore, Automated Keyphrase Generation (AKG) has become a relevant approach to support more efficient scientific informat…