Rancang Bangun Aplikasi Peramalan Jumlah Penumpang Menggunakan Long Short-Term Memory (LSTM)
Pelayanan publik seperti transportasi publik erat kaitannya dengan kepuasan
penggunanya. Busway DKI Jakarta adalah salah satu transportasi publik yang pertama di …
penggunanya. Busway DKI Jakarta adalah salah satu transportasi publik yang pertama di …
Aplikasi Pendeteksian Bentuk Gestur Tangan Dalam Bahasa Isyarat: Hand Gesture Detection Application in Sign Language
J MEDELLU, A Sambul… - Jurnal Teknik …, 2022 - ejournal.unsrat.ac.id
The communicant is a liaison between 2 things aiming to be able to understand each other.
Communication is very closely related to living creatures such as humans who are always …
Communication is very closely related to living creatures such as humans who are always …
Forecasting Model of Onions in Sumbawa District
Sumbawa Regency as the second largest shallot producing area in NTB certainly
contributes to food security in Sumbawa Regency in particular and in Indonesia in general …
contributes to food security in Sumbawa Regency in particular and in Indonesia in general …
Implementation of Long Short-Term Memory Network for Predicting The Cocoa Crop Yield
AL Maukar, LQN Arrosyadi - Jurnal Sistem Teknik Industri, 2024 - talenta.usu.ac.id
Forecasting models with high accuracy become more important during uncertain conditions,
such as climate change, that could have a high effect. The forecast model's accuracy in …
such as climate change, that could have a high effect. The forecast model's accuracy in …
Application of the LSTM Algorithm in Predicting Urea Fertilizer Production at IIB Plant PT. Pupuk Sriwidjaja Palembang
A Awaludin, F Ferdiansyah, A Andri… - J-SAKTI (Jurnal Sains …, 2023 - tunasbangsa.ac.id
Abstract PT. Pupuk Sriwidjaja Palembang is a pioneer of fertilizer manufacturers in
Indonesia. One of the plants at PT. Pupuk Sriwidjaja Palembang, namely the IIB urea plant …
Indonesia. One of the plants at PT. Pupuk Sriwidjaja Palembang, namely the IIB urea plant …
[PDF][PDF] Performance analysis of lstm and xgboost models optimization in forecasting crude palm oil (cpo) production at palm oil mill (pom)
K Aqbar, RA Supomo - International Journal of Computer Applications - researchgate.net
This research aims to test and compare the performance of LSTM (Long Short-Term
Memory) and XGBoost (eXtreme Gradient Boosting) prediction models in forecasting the …
Memory) and XGBoost (eXtreme Gradient Boosting) prediction models in forecasting the …
Makassar City Air Pollution Forecast in 2045
Air pollution is a problem for all countries in the world, especially for urban areas, because
most sources of air pollution are in urban areas. In 2019, it was predicted that ambient air …
most sources of air pollution are in urban areas. In 2019, it was predicted that ambient air …
[PDF][PDF] Prediksi Nilai Ekspor Pulp di Indonesia Mengunakan Metode Long Short Term Memory
DT Silaen, AASH Simanjuntak, K Tarigan… - … Informatika dan Komputer, 2023 - core.ac.uk
Ekspor pulp merupakan kegiatan ekonomi penting bagi perusahaan dan pemerintah, yang
membutuhkan informasi akurat mengenai permintaan pasar dan strategi bisnis yang tepat …
membutuhkan informasi akurat mengenai permintaan pasar dan strategi bisnis yang tepat …
Peramalan Permintaan Sepatu Sandal pada UMKM Mulyaharja Kota Bogor
S Irawan, AR Sinaga, A Kartinawati… - Go-Integratif: Jurnal …, 2024 - journal.unsika.ac.id
UMKM merupakan salah sektor penting untuk mendukung pertumbuhan ekonomi. Di
tengah persaingan yang semakin ketat, pelaku usaha perlu menerapkan strategi yang …
tengah persaingan yang semakin ketat, pelaku usaha perlu menerapkan strategi yang …