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, …

KLASIFIKASI KEPUTUSAN PEMBELIAN SKINCARE DI TIKTOK SHOP BERDASARKAN FAKTOR IN…

Perkembangan TikTok Shop sebagai platform social commerce meningkatkan peran influencer dalam memengaruhi keputusan pembelian produk skincare. Namun, kompleksitas faktor influencer yang terlibat menyulitkan identifikasi pola keputusan pembelian secara sistematis. Penelitian ini bertujuan untuk mengevaluasi secara eksploratif penggunaan algoritma Decision Tree dalam mengklasifikasikan keputusan …

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…

ANALISIS POLA KECELAKAAN LALU LINTAS KENDARAAN BERMOTOR DI KOTA PALEMBANG TAH…

Penelitian ini bertujuan untuk menganalisis pola kecelakaan lalu lintas di Kota Palembang menggunakan pendekatan machine learning berbasis clustering. Data sekunder diperoleh dari catatan resmi Kepolisian Kota Palembang mencakup periode 2021–2024 dengan total 2.658 data dan 35 variabel awal. Setelah melalui proses prapemrosesan, dilakukan pembersihan data, penghapusan variabel yang tidak rele…

ANALISIS LOKASI RAWAN KRIMINALITAS PENCURIAN MOTOR PADA TAHUN 2021-2024 DI KA…

Penelitian ini bertujuan mengidentifikasi pola tingkat kerawanan kriminalitas pencurian kendaraan bermotor (curanmor) di Kabupaten Musi Banyuasin menggunakan pendekatan unsupervised learning. Empat algoritma clustering ini, yaitu K-Means, DBSCAN, Hierarchical Clustering, dan Gaussian Mixture Model digunakan untuk mengelompokkan data kejadian kriminal berdasarkan variabel jenis kendaraan, jumlah…

PENGEMBANGAN DIALOG ADAPTIF MENGGUNAKAN KECERDASAN BUATAN GENERATIF PADA GIM …

The use of generative artificial intelligence (AI) technology has brought breakthroughs in game development, particularly in the visual novel genre. This research aims to develop adaptive dialogue systems based on generative AI, which can enhance player experience by creating more dynamic and personalized interactions. The system is designed to produce more varied dialogues by leveraging genera…

SISTEM PENJADWALAN MATA PELAJARAN MENGGUNAKAN ANT COLONY OPTIMIZATION PADA MA…

In preparing the subject schedule, it must be done correctly because all teaching and learning activities are between teachers and students. So far, the subject scheduling process at MAN 3 Palembang is carried out manually so that clashes often occur between subjects and teachers who teach can teach in different classes at the same time resulting in the teaching and learning process being sligh…

PENGAMBILAN KEPUTUSAN AGEN CERDAS PADA GAME EDUKASI “CERITA RAKYAT TIMUN MA…

"Timun Mas Adventure: Learn & Leap" adalah permainan edukasi bergenre Endless Runner. Dalam gameplay, pemain menyelesaikan objektif dalam permainan ini memanfaatkan agen cerdas untuk NPC. Selain sebagai hiburan, game ini mendidik masyarakat tentang cerita rakyat Timun Mas. Penelitian ini menggunakan Finite State Machine (FSM) untuk menguji interaksi agen cerdas dengan pemain. Hasil pengujian me…

PENENTUAN JALUR TERBAIK UNTUK SISTEM TRANSPORTASI PINTAR MENGGUNAKAN METODE H…

Cities around the world, including the City of Palembang, are facing increasing challenges in terms of transportation management. Population growth, urbanization and continuous population mobility have led to increased traffic, congestion and challenges in achieving efficient mobility. So a research was carried out using various models and algorithms in the context of object recognition, vehicl…

LABELISASI OTOMATIS DAN SEGMENTASI CITRA JANTUNG JANIN MENGGUNAKAN DEEP LEARNING

Proses labelisasi manual pada citra USG merupakan tugas yang menantang dikarenakan memerlukan ketelitian tinggi dan waktu yang lama. Sehingga labelisasi otomatis dengan deep learning dapat menjadi solusi. Penelitian ini bertujuan untuk mengetahui performa segmentasi dan labelisasi otomatis dengan menggunakan deep learning. Data dari penelitian menggunakan pemeriksaan USG pada jantung janin berj…

EVALUASI USER ACCEPTANCE PLATFORM TOKOPEDIA MELALUI FRAMEWORK UTAUT3 DAN ANAL…

This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOv8 DENGAN AL…

Penelitian ini mengusulkan pendekatan hibrida untuk mendeteksi kemacetan lalu lintas dengan menggabungkan data visual dari CCTV, yang diproses menggunakan algoritma YOLOv8, dan data opini publik dari komentar Instagram, yang dianalisis menggunakan algoritma Gated Recurrent Unit (GRU). Dataset yang digunakan terdiri dari 7.680 citra berlabel dan 660 komentar media sosial. Hasil deteksi kendaraan…

KOMPARASI XGBOOST DAN LSTM DALAM PROSES KNOWLEDGE DISCOVERY BERBASIS ANALISIS…

Generative AI has provided real benefits in key sectors of the public sector. However, the rapid expansion of AI assistant services also raises concerns about whether newly released products can consistently meet user expectations, especially as negative experiences are increasingly expressed through public reviews. Its positive impacts encourage competitive rivalry among AI assistant product d…

KLASIFIKASI JENIS BUNGA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

ATechnological advances drive the need for accurate automatic classification systems, such as in flower type identification, which is still often done manually. This study aims to measure the performance of the DenseNet201 architecture in classifying five types of flowers (Daisy, Dandelion, Rose, Sunflower, and Tulip) using a Convolutional Neural Network (CNN). The model was developed with a fu…

CLUSTERING MENGGUNAKAN METODE K-MEDOIDS PADA ARTIKEL BERITA ONLINE BERBAHASA …

The rapid growth of Indonesian online news articles presents challenges in clustering based on content similarity. This study aims to develop a clustering system for online news articles using the k-medoids method. A total of 500 articles from Kaggle were processed through text preprocessing (case folding, tokenizing, stopword removal, and stemming), TF-IDF weighting, and clustering with k-medo…

PENCARIAN BAKAT (TALENT SCOUTINGI) RENANG PADA ANAK MENGGUNAKAN ALGORITMA K-N…

Swimming requires an objective and efficient talent identification system. This study develops a machine learning-based system using the K-Nearest Neighbors (KNN) algorithm to predict young athletes' potential based on anthropometric and motor skill data. The dataset consists of 50 normalized samples evaluated through K-Fold Cross Validation (K=5 and 10). Test results show the optimal configura…

ANALISIS SENTIMEN ULASAN RESTORAN PADA TRIPADVISOR MENGGUNAKAN MERTODE SELEKS…

Tripadvisor is a website that provides information about restaurants, user-generated restaurant reviews.data in the form of comment text. However, there are many features in review makes textual data ambiguous, thus causing difficulties sentiment analysis. To overcome this challenge, this research uses Information Gain feature selection method to reduce high features dimensions in sentiment ana…

PERBANDINGAN METODE PENINGKATAN KUALITAS CITRA MEDIS HISTOPATOLOGI UNTUK KLAS…

This study aims to enhance the dataset of lung cancer histopathological images. There is already exist CNN architecture for lung cancer classification, but only have accuracy of 71%. The dataset of lung cancer histopathological images suffers from poor color constancy and contrast due to variability in image capture, management, analysis, and data collection processes. To address these issues, …

PREDIKSI MORTALITAS PADA PASIEN INSTALASI PERAWATAN INTENSIF MENGGUNAKAN DEEP…

Mortality prediction for patients in intensive care units (ICUs) is crucial for care planning, resource allocation, and timely medical decision-making. To enhance the accuracy of these predictions, artificial intelligence (AI) technology has shown promising results. This study aims to develop deep learning methods to improve the accuracy of mortality predictions for ICU patients, addressing mis…

EXTRACTIVE SUMMARIZATION BERITA BERBAHASA INDONESIA MENGGUNAKAN LSTM

In the internet era, the vast amount of available information makes it challenging for readers to find relevant news and requires time to read entire documents to extract desired information. Therefore, summaries are needed to help readers extract and represent the most crucial information from news articles efficiently and effectively. This research focuses on developing an Extractive Summariz…

IMPLEMENTASI ALAT PENGUKUR TEKANAN DARAH BERAT BADAN DAN TINGGI BADAN UNTUK S…

Health is a fundamental aspect that every individual must pay attention to in order to maintain an optimal quality of life. Regular monitoring of bodily conditions serves as a preventive measure to detect potential health issues at an early stage, allowing for timely and appropriate intervention. With the advancement of digital technology, the integration of the Internet of Things (IoT) into he…

KLASIFIKASI ARITMIA PADA SINYAL FETAL ECG BERBASIS DEEP LEARNING

Fetal Electrocardiogram (ECG) is a type of signal that reflects the electrophysiological activity of the fetal heart. The non-invasive abdominal electrode method is employed to obtain fetal EKG signals. Classification was conducted between normal and arrhythmia categories using two main approaches, which are autoencoder-Deep Neural Network (DNN) and Convolutional Neural Network (CNN). The autoe…

KLASIFIKASI KUALITAS UDARA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) DI…

Ogan Komering Regency (OKI) is one of the regencies in South Sumatra Province which is prone to forest fire cases. The higher the level of forest fires that occur, the higher the level of air pollution that occurs. For this reason, it is necessary to accurately measure and classify air quality levels every day. This research aims to classify air quality in Ogan Komering Ilir Regency using the K…

PERANCANGAN SISTEM LATERAL CONTROL AUTONOMOUS VEHICLE BERBASIS FUZZY LOGIC CO…

This research analyzes the application of the Fuzzy Logic Controller (FLC) type-2 for Autonomous vehicle steering control, using input values in the form of error and delta error from the difference between the output produced by the primary controller and the steering angle value obtained from the calculation of the pulse encoder installed on the steering wheel. This data is then processed thr…

PERINGKASAN TEKS BERITA DALAM BAHASA INDONESIA SECARA ABSTRAKTIF MENGGUNAKAN …

News is a form of information published to the public, allowing for a better understanding of the world around them. The advancement of internet technology has significantly increased the growth of Indonesian-language news sites and created a surge in information availability. Reading the entire news article takes a lot of time and makes it difficult to receive all the information quickly and a…

DETEKSI JALAN DAN OBJEK BERBASIS KAMERA DAN DEEP LEARNING SECARA REALTIME SEB…

Autonomous electric vehicle adalah sebuah kendaraan yang secara otomatis dapat mengatur arah kendaraan berjalan dengan menggunakan sensor seperti kamera sebagai input steering angle pada autonomous electric vehicle. Input steering angle diperoleh dari hasil pendeteksian jalan dan objek pada sekitar autonomous electric vehicle. Pada penelitian ini, dataset yang digunakan terdiri menjadi 7 kelas …

ANALISA KEPADATAN KENDARAAN MENGGUNAKAN METODE DECISION TREE DAN PENENTUAN JA…

Penelitian ini bertujuan untuk dapat menerapkan algoritma CH dalam menentukan jalur terbaik dan menganalisa penyebab penentuan jalur terbaik berdasarkan kondisi beberapa jalan di Kota Palembang. Penelitian ini menggunakan YOLOv8 untuk perhitungan kendaraan pada rekaman CCTV, DT digunakan untuk memprediksi kondisi jalan, dan algoritma CH untuk penentuan jalur terbaik. Variabel yang digunakan seb…

ANALISIS SENTIMEN ULASAN APLIKASI MYXL PADA GOOGLE PLAY STORE MENGGUNAKAN NAI…

The growth of internet users in Indonesia, reaching 221 million in 2024, has significantly impacted the digital sector, including operator service applications such as myXL. This application facilitates user access to telecommunication services, yet discrepancies between user ratings and comments are often found. Therefore, sentiment analysis is needed to more accurately evaluate user satisfact…

ARTIFICIAL INTELLIGENCE: Mengupas Rekayasa Kecerdasan Tiruan

Edition

1

ISBN/ISSN

978-623-01-0293-6

Collation

xxxvi, 564 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

006.3 Rob a

OPTIMASI FUZZY TSUKAMOTO DALAM MENENTUKAN PREDIKSI HASIL TINGKAT RISIKO PENYA…

Heart disease is a common health problem. If not treated promptly, heart disease can have various impacts on a person's health, even causing death. To be able to prevent heart disease early, a method is needed that can determine whether a person is at risk of heart disease or not. This study can provide information about the risk of heart disease by determining predictions using the Fuzzy Tsuka…