ASOSIASI PEMBELIAN BARANG KERIPIK DAN KERUPUK MENGGUNAKAN ALGORITMA APRIORI

MSMEs need to understand consumer behavior and improve business efficiency through transaction data analysis. This research focuses on purchasing patterns for chips and crackers products using the Apriori algorithm on transaction data for Rizan 858 Snack MSMEs. The transaction data includes 200 transactions recorded between October 2023 and May 2024. The analysis process was conducted in severa…

PERBANDINGAN ARSITEKTUR CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT…

Lettuce (Lactuca sativa L.), is a commodity crop that is frequently consumed around the world. During cultivation, lettuce often faces challenges such as diseases that can cause losses. Classification of diseases on lettuce leaves is an important challenge in maintaining the quality and quantity of crop yields.. This study compares the performance of Convolutional Neural Network (CNN) and Visio…

ANALISIS SENTIMEN PANDANGAN PUBLIK MENGENAI MOBIL LISTRIK MENGGUNAKAN ADASYN …

Climate change and air pollution drive the search for environmentally friendly solutions, such as electric cars. Although they offer benefits like reduced emissions and energy efficiency, public acceptance varies depending on factors like price, infrastructure, and environmental awareness. This study employs the Support Vector Machine (SVM) algorithm as a machine learning model and the ADASYN m…

PERBANDINGAN ALGORITMA XGBOOST, LIGHTGBM DAN RANDOM FOREST UNTUK KLASIFIKASI …

Emotion recognition based on Electroencephalogram (EEG) signals has become an intriguing research field in human-computer interaction and medical applications with the potential to provide deep insights into patients' mental conditions. This study aimed to compare the performance of three machine learning algorithms, XGBoost, LightGBM, and Random Forest, in classifying EEG signals for emotion r…

SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGOR…

The development of music streaming platforms has created a "paradox of choice" phenomenon, where the abundance of music options makes it difficult for users to find songs that match their preferences. This research develops a music recommendation system using Content-Based Filtering method and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to address this issue. The study aims to …

KLASIFIKASI BERBASIS ONTOLOGI UNTUK DOKUMEN TUGAS AKHIR DENGAN METODE PEMBOBO…

The classification of undergraduate thesis documents is a crucial process for organizing and categorizing student research into appropriate fields of study. This research develops an ontology-based document classification system for final projects by integrating the FastText word embedding method to improve classification accuracy. The system utilizes BidangIlmuInformatika.owl ontology as a kno…

KLASIFIKASI HURUF DAN ANGKA PADA BAHASA ISYARAT MENGGUNAKAN METODE CONVOLUTIO…

Sign language is one of the communication media that can be used by deaf people, however the use of sign language is not only be utilized by the one who disabled on it, but also can be learned and used by normal people. Classification of signals uses a convolutional neural network (CNN) algorithm which is capable of obtaining important features from each image without human assistance. In addit…

PREDIKSI HARGA GETAH KARET MENGGUNAKAN ALGORITMA MULTILAYER PERCEPTRON (MLP).

Harga getah karet merupakan harga komoditas hasil pertanian yang memiliki inflasi secara signifikan dari permintaan dan produksi yang tidak menentu di setiap saat, oleh sebab itu harga getah karet mengalami fluktuasi karena adanya pengaruh kondisi perekonomian global. Prediksi harga getah karet sangat penting untuk membantu para petani maupun pihak yang berkaitan mengetahui harga karet dunia ya…

KLASIFIKASI JENIS SAMPAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK.

Indonesia ranks second in contributing the largest amount of plastic waste to the global oceans, producing approximately 64 million tons of plastic waste annually, with around 3.2 million tons reaching the oceans and 85,000 tons of plastic bags discarded on land. Waste sorting plays a crucial role in waste management, enabling more efficient handling by allocating it appropriately to landfills …

PREDIKSI JUMLAH WISATAWAN MANCANEGARA DI INDONESIA MENGGUNAKAN METODE FUZZY T…

Tourism is an attractive sector for foreign tourists to visit or vacation in a country. A high number of foreign tourist visits indicates that the country has a strong attraction in terms of tourism, but the number of foreign tourist visits each period fluctuates. Predictions of the number of foreign tourists are very important to be used as information in making decisions and planning appropri…

KLASIFIKASI INTENT MENGGUNAKAN SOFTMAX DAN KLASIFIKASI ENTITAS MENGGUNAKAN CO…

This research aims to develop a Chatbot Intent Classification and Entity Classification on the RASA Framework using the Softmax and Conditional Random Field methods. In the process of creating a chatbot, there are several problems that often arise, one of which is the low accuracy of entity classification and intent classification, which causes the chatbot to not perform as expected. These prob…

MATEMATIKA TEKNIK UNTUK PERGURUAN TINGGI

Edition

Revisi

ISBN/ISSN

978-979-3784-79-3

Collation

xvi, 853 hlm

Series Title

-

Call Number

004.0151 Rat m

PENERAPAN ALGORITMA DIJKSTRA PADA PENCARIAN RUTE DESTINASI WISATA DI KOTA PAG…

Pagar Alam City is located at the foot of Mount Dempo, South Sumatra Province, Indonesia. Because its location in the mountainous area, it makes the atmosphere in the city was very cool and stores many natural attractions that have its own beauty for tourists to visit the city. The amount of ignorance of tourists about the locations of tourist destinations, the lack of resources about the locat…

PENGUJIAN ALGORITMA K-MEANS DALAM KL ASTERISASI DATA PERSEDIAAN OBAT DI KLINI…

Sahabat Mandiri Clinic has a goal, namely to improve the quality of health services for the general public. However, the current problem is that the current drug layout arrangement is not grouped by category of level of behavior in sales, but is only arranged in alphabetical order. In this case, a grouping of drug layouts will be carried out based on the category of level of sales behavior so t…

PREDIKSI JUMLAH PENDUDUK MENGGUNAKAN ALGORITMA BACKPROPAGATION

Population prediction is carried out in an effort to determine the population in the future. Because the population in the future is not easy to know with certainty, this research predicts the population using artificial neural networks with the backpropagation algorithm, because it can project the population in the future based on time series data in previous periods. The advantage of the back…