Prediction of Plantation Crop Production Based on Environment Using Linear Regression and Single Exponential Smoothing Methods | Sari | International Journal of Engineering, Science and Information Technology

About The Authors

Marlina Sari
Universitas Malikussaleh
Indonesia

Department of Informatics, Faculty of Engineering

Dahlan Abdullah
Universitas Malikussaleh
Indonesia

Department of Informatics, Faculty of Engineering

Maryana Maryana
Universitas Malikussaleh
Indonesia

Department of Informatics, Faculty of Engineering

User

ARTICLE TEMPLATE

TOOLS

CONTACT US

CURRENT INDEXING

VISITOR STATISTICS

SUPPORT BY

ISSN BARCODE

Keywords Activity, City, Transportation, Analytical Hierarchy Process Augmented Reality, Mediscan, Interactive Media, Health Education BERT, Classification, Online Game, Sentiment Analysis Big Data, E-Learning, Adaptive Learning, Synergy Platform, Literature Review CNN, ROI, Smartphone, Coffee Beans CNN-RNN, Hate Speech, Regularization, LSTM. Classification, Sentiment Analysis, Convolutional Neural Network, Deep Learning Economic Feasibility, NPV, BCR, IRR Information Systems, Complaints, Platforms, Office Land Transportation Statistics, Road Conditions, GRDP, Car, Motorcycle Repair Land Transportation, GDP Regional, Construction, Road Length Maintenance, Architectural, Mechanical, Electrical and Comfort Metavers, Marketing Universe, Bibliometric, Scientific Mapping Prototype, Seismicity Mitigation, Flats, Structures Road, Service Level, Regression, Manokwari, Alternative Sea Transportation, GDP, Regional Sea Transportation, Real Estate GRDP, Flow of Goods, Passenger Visits Setiawan Soil, Cement, Bearing Capacity, Terzaghi Method, Meyerhoff Method Steel Structure, Bracing, Shearwall, Fundamental Period, Base Shear WhatsApp, EFL Classroom, Students Learning Performance

Information

Journal Content
Browse

Download this PDF file

Article Metrics

Abstract view : 0 times

Refbacks

There are currently no refbacks.

Copyright (c) 2025 Marlina Sari, Dahlan Abdullah, Maryana

International Journal of Engineering, Science and Information Technology (IJESTY) eISSN 2775-2674

Published by Department of Information Technology, Universitas Malikussaleh, Indonesia

Editor E-mail: journalijesty@gmail.com

The works in IJESTY Journal are licensed under a Creative Commons Attribution- 4.0 International Public License (CC - BY 4.0).