HUBUNGAN KECERDASAN EMOSIONAL DENGAN KEMAMPUAN PENYESUAIAN DIRI MAHASISWA RAN…

Self-adjustment is an important factor for overseas students in facing social and academic challenges. Emotional intelligence is considered one of the factors that support self-adjustment. This study aims to determine the relationship between emotional intelligence and self-adjustment among overseas students in the Guidance and Counseling Department at Sriwijaya University. This study used a qu…

EVALUASI TINGKAT KESADARAN DAN KEPATUHAN MAHASISWA PENDIDIKAN TEKNIK MESIN UN…

Awareness and compliance with Occupational Health and Safety (OHS) in the machining laboratory are of primary concern. This study evaluates the level of awareness and compliance among students of the Mechanical Engineering Education program at UNSRI regarding OHS, using a qualitative approach through interviews, observations, and document analysis, involving 12 student respondents and 4 faculty…

IMPLEMENTASI KOMBINASI ARSITEKTUR TRANSFORMER DAN BIDIRECTIONAL LONG SHORT-TE…

Abnormalities in the electrocardiogram (ECG) signal may be an early indication of a heart rhythm disorder. A method that can be used to identify these abnormalities is to classify heartbeats into five classes: non-ectopic beat (N), supraventricular ectopic beat (S), ventricular ectopic beat (V), fusion beat (F), and unknown beat (Q). This study proposes a combination of Transformer and BiLSTM a…

IMPLEMENTASI ARSITEKTUR LONG SHORT-TERM MEMORY (LSTM) DAN TRANSFORMER UNTUK M…

Cyberbullying is a form of bullying carried out via social media. Early detection of cyberbullying on social media is crucial for quickly and accurately identifying tweets that contain elements of bullying. This study proposes a combination of the Long Short-Term Memory (LSTM) and Transformer architectures. LSTM is used to select key features within the text, while the Transformer is used to ca…

PENERAPAN KOMBINASI AUGMENTASI EDA, BACK TRANSLATION, DAN BERT UNTUK MENINGKA…

User reviews of telemedicine services contain important information reflecting user satisfaction and perceptions, which are categorized into three labels: negative, neutral, and positive. Automated sentiment analysis can help categorize reviews to evaluate service quality more efficiently. Gated Reccurent Unit (GRU) requires a large dataset so that the model can optimally recognize patterns. Th…

MODIFIKASI YOU ONLY LOOK ONCE-CLS DENGAN BACKBONE EFFICIENTNET UNTUK KLASIFIK…

Oil palm is a strategic global commodity that plays an important role in the global vegetable oil supply. Its productivity is often disrupted by leaf attacks such as dryness, fungal disease, magnesium deficiency, and scale insects. Early detection is necessary to prevent the spread of pests and minimize losses. Manual diagnosis by agronomists is time-consuming and inefficient on a large plantat…

MODIFIKASI ARSITEKTUR PIX2PIX GAN DAN GENERATOR U-NET DENGAN RESIDUAL BLOCK D…

The scarcity of medical image datasets often poses a major challenge in training deep learning models for the early detection of Diabetic Retinopathy (DR). This study aims to address this issue through data augmentation techniques using a modified Pix2Pix GAN architecture to generate synthetic retinal images along with their semantic groundtruth. The proposed modification focuses on two main co…

Communication Quotient: Kecerdasan Komunikasi dalam Pendekatan Emosional dan …

Edition

1

ISBN/ISSN

978-979-692-088-4

Collation

xvi, 500 hlm. : ilus. ; 25 cm

Series Title

-

Call Number

153.6 Pem c

HUBUNGAN KECERDASAN EMOSIONAL DENGAN PERILAKU KONSUMTIF PADA SISWA KELAS XI S…

This study aims to examine the relationship between emotional intelligence and consumptive behavior among eleventh-grade students at SMA Negeri 7 Palembang. This research uses a quantitative approach with a correlational method. The population in this study consisted of 350 students, with a sample of 187 students determined using the Slovin formula through random sampling technique. Data collec…

PENGEMBANGAN BUMPER VIDEO ETNOGRAFIS INTERAKTIF BERBANTUAN ARTIFICIAL INTELIG…

This study aims to develop an interactive ethnographic video bumper assisted by Artificial Intelligence on the Fine Arts material of recognizing shapes and mixing colors for fourth grade elementary school students. The results of the student needs analysis obtained a score of 89.5% in the Very Need category. Furthermore, the results of the teacher needs analysis obtained a score of 84.5% in the…

PERAMALAN HARGA MINYAK MENTAH DI PASAR GLOBAL BERBASIS MODEL LONG SHORT TERM …

Crude oil price forecasting plays an important role in supporting economic decision-making, as oil price fluctuations directly affect global stability. This study employs a Long Short-Term Memory (LSTM) model to predict West Texas Intermediate (WTI) crude oil prices, with a focus on the influence of the hyperparameters lookback and the number of epochs on model performance. The findings indicat…

MODEL ARTIFICIAL NEURAL NETWORK UNTUK MEMPREDIKSI JAMUR DI UDARA DALAM RUANGA…

Kualitas udara dalam ruangan di kawasan wetland berpotensi meningkatkan pertumbuhan jamur akibat kondisi lembap, yang dapat berdampak pada kesehatan pernapasan. Penelitian ini bertujuan mengembangkan model Artificial Neural Network (ANN) untuk memprediksi konsentrasi jamur udara dalam ruangan serta menganalisis faktor lingkungan, karakteristik rumah, dan perilaku penghuni yang berpengaruh. Stud…

PENGARUH PENGGUNAAN ARTIFICIAL INTELLIGENCE (AI) CHATGPT DALAM PEMBELAJARAN T…

In the era of society 5.0, the rapid development of digital technology, particularly artificial intelligence, has brought significant changes to the field of education. One of these innovations is AI ChatGPT, which enables learning to become more interactive and personalized and has the potential to enhance students' learning interest. However, its use also raises concerns, such as dependency a…

KOMPARASI MODEL ENSEMBLE DAN ALGORITMA MACHINE LEARNING UNTUK MEMPREDIKSI PEN…

Studi ini membandingkan performa sembilan algoritma machine learning dalam memprediksi penyakit jantung dengan menggunakan dataset berasal dari tahun 1988 dan terdiri dari empat basis data: Cleveland, Hungary, Swiss, dan Long Beach sebanyak 1025 data. Dataset yang digunakan mencakup fitur-fitur medis yang mencerminkan keadaan fisiologis, hasil pemeriksaan klinis, dan faktor risiko kardiovaskula…

PERBANDINGAN KINERJA NAIVE BAYES, SUPPORT VECTOR MACHINE DAN RANDOM FOREST UN…

Perkembangan teknologi finansial mendorong peningkatan penggunaan mobile banking, termasuk BRImo milik Bank Rakyat Indonesia (BRI). Namun, ulasan pengguna di Google Play Store menunjukkan berbagai keluhan seperti kesulitan login, error sistem, dan transaksi gagal. Penelitian ini bertujuan menganalisis sentimen pengguna BRImo menggunakan tiga algoritma pembelajaran mesin, yaitu Naive Bayes, Supp…

Kiat Melatih Konsentrasi Pikiran Anak; 101 Permainan yang Mudah dan Menyenangkan

Edition

1

ISBN/ISSN

978-979-062-245-6

Collation

xii, 194hlm.;ilus.;25cm

Series Title

-

Call Number

155.4 She k

PENGEMBANGAN MODEL PENERJEMAHAN BAHASA INGGRIS KE BAHASA JAWA MENGGUNAKAN LST…

One of the main challenges in English to Javanese machine translation is the model's difficulty in capturing contextual relationships between words, especially in complex sentences. Without an Attention Mechanism, the model tends to be unable to focus on the relevant parts of the source sentence during the translation process. This study aims to develop a Neural Machine Translation (NMT) model …

KECERDASAN NATURALIS ANAK USIA DINI DITINJAU DARI PERILAKU EKSPLORASI LINGKUN…

Naturalistic intelligence in early childhood refers to the ability to recognize and understand the natural environment. This study aims to describe children's naturalistic intelligence based on environmental exploration behavior in Taman Pesona Bangka Housing Area, Sungailiat District, Bangka Regency. The study used a descriptive quantitative approach with 30 children aged 3–7 years as the sa…

IQ-GPM: Kualitas Kecerdasan Intelektual Generasi Pembaru Masa Depan

Edition

-

ISBN/ISSN

978-602-203-581-7

Collation

xvii, 317 hlm. ; 26 cm.

Series Title

-

Call Number

331.11 Mar i

PENGEMBANGAN MODEL SEGMENTASI UNTUK MENGIDENTIFIKASI KARDIOMEGALI PADA CITRA …

Penelitian ini bertujuan mengembangkan metode deteksi dan segmentasi otomatis citra jantung janin berbasis deep learning untuk mendukung identifikasi dini kelainan jantung, khususnya kardiomegali, pada citra ultrasonografi (USG). Analisis citra USG sering menghadapi kendala seperti kualitas citra yang rendah, tingkat noise yang tinggi, serta batas anatomi yang kurang jelas, sehingga proses iden…

SOFT VOTING ENSEMBLE LEARNING YOLO DENGAN FINETUNING CNN RESNET, EFFICIENTNET…

The rapid advancement of computer vision and deep learning has greatly improved image classification performance. However, maintaining consistent accuracy across diverse datasets and visual conditions remains challenging. This study proposes a soft voting ensemble learning approach for image classification using three fine-tuned Convolutional Neural Networks (CNNs): ResNet, EfficientNet, and De…

KOMBINASI ARSITEKTUR TRANSFORMER DAN GATED RECURRENT UNIT (GRU) DALAM ANALISI…

Telemedicine services are healthcare services and the exchange of medical information conducted remotely through Information and Communication Technology. Service providers need to adapt to ongoing developments in order to meet user needs and expectations. One of the efforts to support this development is by analyzing user satisfaction or perceptions using sentiment analysis methods. This study…

ANALISIS SENTIMEN PADA ULASAN APLIKASI MYPERTAMINA MENGGUNAKAN INDOBERT

The implementation of the MyPertamina application as a means of distributing subsidized fuel has triggered various responses from the public. User reviews on the Google Play Store platform serve as a vital data source that can be utilized to analyze public satisfaction. This study aims to classify the sentiment of MyPertamina application user reviews into positive and negative classes using the…

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…

HUBUNGAN POLA ASUH DEMOKRATIS DENGAN KECERDASAN EMOSIONAL ANAK USIA (5-6) TAH…

The parenting pattern applied by parents in educating children is one of the factors that can influence the development of children's emotional intelligence. In Sumber Rejo Village, parents' knowledge about parenting styles and the importance of stimulating children's emotional intelligence is very limited. There are some children who are aggressive and whose emotional intelligence is not well …

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…