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MODIFIKASI ALGORITMA STEMMING SASTRAWI MENGGUNAKAN RULE PRECEDENCE DAN PREFIX…
Text pre-processing is increasingly important in the era of rapidly growing digital information One of the important stages in text processing is stemming, which aims to convert words to their basic form by cutting off certain prefixes or suffixes. The Indonesian stemming algorithm that is often used is Sastrawi. To improve the accuracy and efficiency of the stemming process, this research modi…
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- xiii, 88 hlm.; ilus.; 29 cm
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- T1421442024
ANALISIS DATA TRANSAKSI UNTUK MENENTUKAN POLA PEMBELIAN KONSUMEN DI TAMKEN RE…
Penelitian ini menerapkan algoritma FP-Growth untuk menganalisis Pola Pembelian Konsumen di Tamken Resto & Cafe di Palembang. Dengan fokus pada FP-Tree dan Association Rules, analisis dilakukan pada 9.371 data transaksi, menghasilkan 341 pola pembelian dengan minimum support 0,25% dan minimum confidence 50%. Pentingnya FP-Tree dan Association Rules terlihat dalam kemampuannya memberikan keterka…
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- xiii, 82 hlm.; ilus.; 29 cm
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- T1422372024
PERBANDINGAN PERFORMA ALGORITMA DECISION TREE C4.5 DAN RANDOM FOREST UNTUK DE…
Diabetes is a chronic disease with a continuously increasing global prevalence. Early detection poses a major challenge because symptoms often appear only when the condition is already severe. The classification of diabetes plays a crucial role in recognizing the disease early to allow for faster and more accurate interventions. According to data from the World Health Organization in 2020, over…
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- xv, 160 hlm.; ilus.; tab.; 29 cm.
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- T1769052025
DETEKSI KEMIRIPAN DOKUMEN MENGGUNAKAN METODE DOCUMENT CLUSTERING K-MEANS CLUS…
Detection, is an action or process of identifying the presence of something that is concealed. This research aim to develop a software that can be used to detect the similarity between thesis using the K-Means Clustering method, which is one of the simplest and popular unsupervised machine learning algorithms. In this research the detection is done on 56 documents using the silhouette method to…
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- xvii, 105 hlm.; ilus.; 29 cm
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- T1418682023
OPTIMASI VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) DENGAN MENGGUNAKAN…
The problem of vehicle scheduling and route optimization in food product distribution is a complex logistical challenge, especially when considering customer time window constraints and vehicle capacity. This study aims to implement a combination of Ant Colony Optimization (ACO) and Nearest Neighbor (NN) to solve the Vehicle Routing Problem with Time Windows (VRPTW) in the distribution system o…
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- xiii, 99 hlm.; ilus.; tab.; 29 cm.
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- T1768012025
OPTIMASI VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) DENGAN PENDEKATAN …
Product distribution is an important part of the supply chain, as the timeliness of delivery has a significant impact on customer satisfaction and operational efficiency. This study aims to optimize delivery routes in the context of the Vehicle Routing Problem With Time Windows (VRPTW) problem, which is a distribution scheduling problem that considers the customer service deadline and the maxim…
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- xiii, 90 hlm.; ilus.; tab.; 29 cm.
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- T1767632025
SISTEM TANYA JAWAB LAYANAN PT ASABRI (PERSERO) MENGGUNAKAN METODE RULE BASED
Information about services at PT Asabri is still less touched by participants. This is due to the lack of human resources, especially customer service in serving participants. To overcome these problems, a question and answer system is needed to get more interactive information in order to help customer service in carrying out their duties. In this research, the system developed uses the rule- …
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- xi, 120 hlm.; ilus.; 29 cm
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- T1417812024
KLASIFIKASI SAPI TERNAK NORMAL DAN TERINFEKSI LUMPY SKIN DISEASE MENGGUNAKAN …
Lumpy Skin Disease (LSD) is a contagious disease in cattle that causes significant losses in the livestock sector, making early detection crucial. This study aims to classify cattle into normal and LSD-infected categories using the Convolutional Neural Network (CNN) method with the ResNet50 architecture. The dataset consists of 4000 images, divided into 80% training data, 10% validation data, a…
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- xiv, 83 hlm.; ilus.; tab.; 29 cm.
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- T1767482025
KLASIFIKASI PENYAKIT PADA SALURAN PENCERNAAN MENGGUNAKAN METODE CONVOLUTIONAL…
Diseases of the digestive tract are significant health issues that require quick and accurate diagnosis to enable effective treatment. This study aims to develop a classification model for digestive tract diseases using the Convolutional Neural Network (CNN) method with the InceptionV3 architecture. The model is evaluated using the 5-Fold Cross-Validation approach to enhance generalization and …
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- xiii, 83 hlm.; ilus.; tab.; 29 cm.
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- T1767432025
PENERAPAN FITUR SISTEM PENGADUAN LAYANAN TERINTEGRASI e-PPT UNTUK MENINGKATKA…
The study developed an integrated complaint system linked to e-PPT at Sriwijaya University’s Faculty of Computer Science using the Waterfall method, CodeIgniter3, MySQL. The system supports three user roles with features like complaint submission, status tracking, and role-based management. Testing showed all features functioned well, with UAT results averaging above 4.5. The system improves …
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- xv, 883 hlm.; ilus.; tab.; 29 cm.
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- T1762902025
PENERAPAN FITUR SISTEM INFORMASI LAYANAN PENGAJUAN LEGALISIR IJAZAH TERINTEGR…
Manual diploma legalization services at the Faculty of Computer Science, Sriwijaya University face obstacles such as long queues, inefficient processes, and the risk of errors and document forgery. This study develops a web-based information system that is integrated with e-PPT and utilizes QR Codes to verify the authenticity of documents. This system makes it easier for alumni to apply for leg…
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- xv, 93 hlm.; ilus.; tab.; 29 cm.
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- T1761352025
PENERAPAN COGNITIVE WALKTROUGH UNTUK EVALUASI GAME EDUKASI “AYO BELAJAR MEN…
Educational games have become one of the effective learning media to enhance learning interest, especially among children. In this study, we developed an educational game titled (Let’s Learn About Fruits ) to provide an interactive and enjoyable learning experience. The game was designed using Construct 2, and the development process followed the Prototyping method, enabling design iterations…
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- v, 103 hlm., ilus., tab.; 29 cm
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- T1753112025
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN EKSTRAKSI FITUR MFCC D…
Music is an important part of human life and continues to evolve with the advancement of information technology. The diversity of music genres that emerge due to differences in instruments, rhythm, technique, and lyrics presents a unique challenge in accurately classifying genres. This study aims to develop a music genre classification system using the Convolutional Neural Network (CNN) method …
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- xiv, 87 hlm.; ilus.; tab.; 29 cm.
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- T1761612025
EFFICIENTNET-B3 PADA METODE CONVOLUTIONAL NEURAL NETWORK UNTUK KLASIFIKASI CI…
Early and accurate classification of skin diseases is critical given the high global prevalence WHO estimates nearly 900 million cases worldwide, with dermatitis as the most common and the uneven distribution of dermatological expertise. EfficientNet-B3 within a Convolutional Neural Network (CNN) framework was therefore investigated for multiclass classification of skin disease images. A second…
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- xiii, 118 hlm.; ilus.; tab.; 29 cm.
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- T1761402025
KLASIFIKASI SINYAL ELEKTROENSEFALOGRAM (EEG) UNTUK MENGENALI JENIS EMOSI MENG…
Human emotion recognition can be done through facial expressions, voice, body posture, and physiological signals. However, these approaches tend to be subjective as individuals may consciously hide or manipulate their emotional expressions. As a more objective method, electroencephalogram signals can provide a more accurate understanding of a person's emotional state. In this regard, this resea…
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- xiv, 129 hlm.; ilus.; tab.; 29 cm.
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- T1759832025
KLASIFIKASI CITRA KUE TRADISIONAL MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NET…
Traditional cake image classification aims to recognize various types of cakes based on visual features, thereby assisting in the effort to introduce traditional cakes. Indonesian traditional cakes hold significant cultural value that must be preserved while also presenting substantial potential in supporting tourism through culinary tourism. This study develops a classification model based on …
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- x, 96 hlm.; ill.; tab.; 29 cm.
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- T1699962025
KLASIFIKASI EMOSI PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNING INDOBERT
The increasing use of social media has led to significant growth in Indonesian text data, creating complexity in emotion identification and classification tasks. To address this challenge, this study develops an emotion classification system using the fine-tuning method on the IndoBERT model. This research aims to classify emotions in Indonesian text using IndoBERT fine-tuning. The study utiliz…
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- xvi, 136 hlm.; ill.; tab.; 29 cm.
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- T1699922025
PENGELOMPOKKAN ARTIKEL ILMIAH MENGGUNAKAN MULTIBERT DAN K-MEANS
The publication rate of scientific articles has significantly increased over time. This presents a challenge for journal administrators and academics in organizing and sorting these articles to align with the journal's scope. This study aims to address this issue by developing a scientific article clustering system utilizing MultiBERT as the data representation model and K-Means for cluster ide…
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- xii, 65 hlm.; ill.; tab.; 29 cm.
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- T1699162025
KEMIRIPAN SEMANTIK DOKUMEN TUGAS AKHIR TERHADAP ONTOLOGI BIDANG ILMU INFORMAT…
The increasing number of multidisciplinary undergraduate theses in Informatics field presents challenges in categorizing these documents accurately. This study develops a system to measure the semantic similarity of final project documents to the ontology of Informatics using the Wu Palmer method as a solution to this problem. This method utilizes ontology tree structures and taxonomic depth to…
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- xiii, 80 hlm.; ill.; tab.; 29 cm.
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- T1699172025
KLASIFIKASI VARIETAS BERAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN AR…
Rice consists of various varieties withdistinctmorphological characteristics, yet manual classification remains subjective and reliant on expert judgment. This study develops an automated rice variety classification system using the Convolutional Neural Network (CNN) method with the MobileNetV2 architecture. The dataset includes 75,000 images of five rice varieties, divided into 70% training, 5…
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- xvi, 100 hlm.; ilus.; tab.; 29 cm.
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- T1757572025
PERBANDINGAN PERFORMA METODE NAIVE BAYES DAN SUPPORT VECTOR MACHINE DALAM K…
Music genre classification has become a research topic that is gaining increasing attention, especially with the emergence of digital music platforms. One of the relevant features extracted from audio signals and capturing important characteristics of sound is MFCC, which is widely recognized as an effective technique. This study applies Naive Bayes and SVM algorithms for classification on a co…
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- xvi, 79 hlm.; ilus.; 29 cm
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- T1632702024
MPLEMENTASI OPENAI API UNTUK PEMBANGKITAN SOAL KUIS PADA QUIZ GAME SEJARAH
Quiz games serve not only as entertainment but also as educational media. However, manually creating varied questions, especially for production-level digital quiz games, requires significant resources. This research attempts to address this challenge by implementing GPT-3.5, through the OpenAI API, as a question generation system for quiz game question banks within the domain of history. The s…
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- xv, 40 hlm.; ilus.; 29 cm
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- T1632872024
KLASIFIKASI TUBERKULOSIS PADA CITRA CHEST X-RAY MENGGUNAKAN CONVOLUTIONAL NEU…
Tuberculosis is still one of the infectious diseases that causes high mortality rates worldwide. Early detection using Chest X-Ray images is very important in the effort to treat this disease. However, manual interpretation of X-ray results performed by doctors can cause differences in diagnosis. This study aims to classify tuberculosis in Chest X-Ray images by implementing three Convolutional …
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- xiv, 64 hlm., ilus., tab.; 29 cm
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- T1750112025
KLASIFIKASI KATARAK PADA CITRA MATA MENGGUNAKAN ARSITEKTUR VGGNET
Cataract is the leading cause of blindness, including in Indonesia, with 1.6 million reported cases. Early detection is crucial, yet access to eye healthcare remains limited, especially in remote areas, and is further hindered by economic constraints and a shortage of ophthalmologists. This study develops a cataract classification model based on fundus images using VGG-16 and VGG-19 architectur…
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- xiv, 176 hlm.; ilus.; tab.; 29 cm.
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- T1726282025
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI IPUSNAS DI GOOGLE PLAYSTORE DENGAN…
Digital libraries, such as iPusnas, have become essential solutions for improving access to reading materials in the digital era. User reviews of the iPusnas application on the Google Play Store contain valuable information that can be utilized to enhance services and guide application development. This study aims to develop a sentiment analysis system for user reviews of the iPusnas applicatio…
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- xvi, 159 hlm.; ilus.; tab.; 29 cm.
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- T1725252025
TOPIC MODELLING DAN TOPIC GENERATION PADA REVIEW GAME STEAM DENGAN FINE-TUNIN…
This study aims to develop and evaluate a Topic Modelling and Topic Generation system using user review data from the Steam platform. The research utilizes the BERTopic model to cluster reviews into topics in an unsupervised manner, and the Qwen2.5 Large Language Model to generate more informative topic representations. Various algorithm combinations covering embedding, dimensionality reduction…
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- xvii, 184 hlm., ilus., tab.; 29 cm
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- T1750592025
FINE-TUNING MODEL BERT UNTUK NAMED ENTITY RECOGNITION
A sentence can contain various named entities with important meanings, such as names of people, locations, organizations, and time expressions. However, extracting this information manually requires significant time and resources. Named Entity Recognition (NER) offers an automated solution that improves the efficiency of this task. One method for developing an NER system is by using BERT, a tra…
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- xvii, 128 hlm., ilus., tab.; 29 cm
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- T1751502025
ANALISIS SENTIMEN TIKTOK SHOP PADA TWITTER MENGGUNAKAN METODE SUPPORT VECTOR …
TikTok Shop, as a social commerce feature in the TikTok application, has become a popular shopping platform in Indonesia. However, government regulations prohibiting direct transactions on social media forced TikTok to stop this service from October 4 until it reopened on December 12, 2023, after establishing a partnership with Tokopedia. This incident triggered various public opinions. This se…
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- xvi, 78 hlm., ilus., tab.; 29 cm
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- T1677192025
KLASIFIKASI JUDUL BERITA PALSU MENGGUNAKAN METODE BIDIRECTIONAL ENCODER REPRE…
This research aims to classify fake news headlines in Indonesian as an initial step in detecting and reducing the spread of misinformation. Headlines are often the first element read and have strong potential to shape public opinion, especially when they contain negative or sensational narratives. Unlike previous studies that analyze full news content or focus only on political news, this study…
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- xiii, 120 hlm.; ilus.; tab.; 29 cm.
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- T1723602025
ANALISIS SENTIMEN ULASAN APLIKASI SPOTIFY DI GOOGLE PLAY STORE MENGGUNAKAN MO…
Spotify, with 574 million active users and 226 million premium subscribers across 184 countries as of Q3 2023, represents a significant force in music streaming. While Google Play Store ratings provide initial app quality indicators, they fail to capture comprehensive user experiences. This research employs Bidirectional Encoder Representations from Transformers (BERT) to conduct sentiment anal…
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- xviii, 125 hlm.; ilus.; tab.; 29 cm.
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- T1723592025
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