Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Belaid Bouikhalene
Sultan Moulay Slimane University

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
AHP and TOPSIS applied in the field of scientific research Mohamed El Mohadab; Belaid Bouikhalene; Fahd Ouatik; Said Safi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1382-1390

Abstract

Scientific research is a major issue for universities because it ensures its innovation and productivity, but to ensure the proper functioning of universities, the decisions-makers need powerful tools to assist them in this process. Multi criteria decision making (MCDM) may present an appropriate asset for this area especially with the analytical hierarchy process (AHP) which presents a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales.
Digital agriculture based on big data analytics: a focus on predictive irrigation for smart farming in Morocco Loubna Rabhi; Noureddine Falih; Lekbir Afraites; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp581-589

Abstract

Due to the spead of objects connected to the internet and objects connected to each other, agriculture nowadays knows a huge volume of data exchanged called big data. Therefore, this paper discusses connected agriculture or agriculture 4.0 instead of a traditional one. As irrigation is one of the foremost challenges in agriculture, it is also moved from manual watering towards smart watering based on big data analytics where the farmer can water crops regularly and without wastage even remotely. The method used in this paper combines big data, remote sensing and data mining algorithms (neural network and support vector machine). In this paper, we are interfacing the databricks platform based on the apache Spark tool for using machine learning to predict the soil drought based on detecting the soil moisture and temperature.
Development of a Decision-Making System for Sultan Moulay Slimane University in Beni Mellal, Morocco Abdellah Amine; Rachid Ait Daoud; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp469-477

Abstract

The issue dealt with in this article is to develop a decision-making information system related to the digital environment of the University work. We propose to model the data within the university in order to transform a system of information into a decision-making information system, that is based on the trades databases oriented toward the actors. A decision-making information is a system that allows the decision makers of the university to have relevant information and powerful analytical tools to help them take the right decision at the right time.
A functional framework based on big data analytics for smart farming Loubna Rabhi; Noureddine Falih; Lekbir Afraites; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 3: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i3.pp1772-1779

Abstract

Big data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using internet of things sensors (soil and crops sensors, drones, and meteorological stations), analyzed and used for decision-making. In the era of internet of things (IoT) tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional framework to model the decision-making process in digital and connected agriculture.
JADE Multi-agent Middleware Applied to Contribute to Certificate Management of Students Fatiha Aityacine; Badr Hssina; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp176-181

Abstract

In this article, we present a multi-agent approach that aims to design, modeling and implementation of an application "smart school". Indeed Several institutions adopt the computerized management of education to meet the needs of students using multi-agent systems. They have the ability to act simultaneously in a shared environment. The purpose of this approach is to automate some administrative services of education, based on the theory of distributed artificial intelligence (DAI) and multi-agent systems (MAS). This multi-agent application integrates entities called agents that cooperate and communicate them to perform specific tasks. Our system is based on the middleware JADE (Java Agent DEvelopment Framework) used for the implementation and agents management. This model based on multi-agent systems is tested on the personal data of an experiment conducted with the students of Sultan Moulay Slimane University in Beni Mellal.
Efficiency Comparaison and Evaluation between Two ETL Extraction Tools Abdellah Amine; Rachid Ait Daoud; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp174-181

Abstract

In the prospects of making an array of onboard decision support in a public university, we present a comparison between two ETL extraction tools from a production database containing student information.For the implementation we use Pentaho and Sql Server tools and we illustrate the application on the case of Sultan Moulay Slimane University inBeniMellal, Morocco.
Design of intelligent agent on Moodle to automate the learning assessment process Elhoucine Ouassam; Nabil Hmina; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i3.pp1665-1672

Abstract

Assessment is a key element in today’s School system, whether face-to-face or distance learning, as it helps students understand their learning and get feedback on their progress. In addition, distance learning assessment is becoming increasingly popular as it is convenient for students with busy schedules who cannot attend face-to-face assessments. In this paper, we focus on the use of intelligent agents on the Moodle platform to improve the assessment process of distance learning. We present three contributions that aim to improve the developed models: firstly, the digitisation of assessment to collect, store and analyse data; secondly, the adoption of a multi-agent skills assessment environment to automate some assessment tasks; thirdly, the adoption of the leadership and management development (LMD) programme to improve the continuous training of learners by offering greater flexibility, adaptability and relevance to their needs. 
Co-Authors Abdellah Amine Badr Hssina Elhoucine Ouassam Fahd Ouatik Fatiha Aityacine Lekbir Afraites Loubna Rabhi Mohamed El Mohadab Nabil Hmina Noureddine Falih Rachid Ait Daoud Said Safi