scholarly journals PENGEMBANGAN SOFTWARE APLIKASI KOMPUTER BERBASIS EXPERT SYSTEM TECHNOLOGY DALAM PEMBELAJARAN AKUNTANSI

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Annisa Ratna Sari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Human Resources ◽  
Educational Process ◽  
Business Activity ◽  
System Technology ◽  
Modern Learning ◽  
Learning By Reading ◽  
Business Sectors ◽  
It Expert

PENGEMBANGAN SOFTWARE APLIKASI KOMPUTER BERBASIS EXPERT SYSTEM TECHNOLOGY DALAM PEMBELAJARAN AKUNTANSIThe rapid growth of technology causes a lot of changes in education, teaching process and business sectors. Accounting plays an important role in business activity. To provide competent human resources in educational accounting, it needs instructional innovations using the advance of information and technology. Using Expert System Technology as an accounting educational media is an example for it. Expert system is one subset of Artificial Intelligence which can be used for decision making or problem solving with an expert based knowledge. This article is intended to discuss about Accounting, Modern Learning, Expert System Technology, the Design of Expert System Technology, and the Use of Expert System Technology in Accounting Learning. By reading this article, everyone who related to educational process, is expected to make a quality improvement in accounting learning by using educational technology.

scholarly journals SISTEM PAKAR UNTUK MENGIDENTIFIKASI PERILAKU DAN KEPRIBADIAN SISWA PADA SMK NEGERI 2 TANGERANG

2019 ◽  
Vol 16 (2) ◽  
pp. 85-92
Author(s):  
Fifit Alfiah ◽  
Muhammad Arba Adnandi ◽  
Allyufi Fazril Rasyidin
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Problem Solving ◽  
Human Resources ◽  
Student Teachers ◽  
Student Behavior ◽  
Learning Activities ◽  
Improve Quality ◽  
And Behavior ◽  
Guidance Teachers

The number of problems in learning activities such as the personality and behavior of students who are less good towards the teacher and there is still many students who are confused in their personality in deciding to continue their studies with a department in accordance with their education or personality. So the author aims to create one expert system that can help counseling and student teachers in determining personality and good behavior for students who are not good or to determine in continuing college studies with one of the knowledge that can help humans in making decisions, namely expert systems. Expert system (Expert System) is a part of artificial intelligence that contains knowledge and experience that is input into the knowledge base. In designing this expert system, the author uses a forward chaining technique because problem-solving is done by collecting data and then drawing a conclusion. The results of this expert system are able to help psychology or Counseling Guidance teachers in analyzing student behavior to improve quality human resources by testing the diagnosis of student behavior and personality with expert system applications to produce solutions that meet their needs with a percentage above 90%.

scholarly journals Expert system for applying coagulant in water treatment: case study in Nobres (Brazil)

2018 ◽  
Vol 13 (4) ◽  
pp. 832-840
Author(s):  
Ricardo Augusto Moraes Zaque ◽  
Welitom Ttatom Pereira da Silva ◽  
Aldecy de Almeida Santos
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Water Treatment ◽  
Human Resources ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Turing Test ◽  
Aluminium Sulphate ◽  
Mato Grosso

Abstract In most Brazilian municipalities, the water supply comes from surface water sources, requiring infrastructure and human resources, especially water treatment. Where infrastructure and human resources are lacking, auxiliary methods and/or substitutes are valuable. The aim of this work was to develop an expert system (ES) to determine and apply coagulant dosing, in real time, in a water treatment plant (WTP). The ES was developed and evaluated at the WTP in Nobres, Mato Grosso (MT) state, Brazil. It is called AIASD (artificial intelligence for aluminium sulphate dosage) and was validated using the Turing test. It can determine and apply coagulant dosing in water treatment. AIASD contributed successfully to WTP operations in Nobres and other WTPs; making decisions and applying the coagulant dosing necessary for water treatment.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

konsep dasar, proses dan ruang lingkup administrasi pendidikan

2020 ◽  
Author(s):  
Tri Lestari Agus Murianti
Keyword(s):  
Human Resources ◽  
Learning Process ◽  
Educational Administration ◽  
Educational Process ◽  
Education Administration ◽  
Educational Goals ◽  
Educational Goal ◽  
Knowledge And Skills ◽  
Joint Activities ◽  
Broad Scope

Education is a process of learning and learning both in terms of knowledge and skills. From a number of sources that researchers studied, researchers can deduce from education and education administration with a broad scope. Education and education administration have the same goals and functions, namely achieving an educational goal that can benefit society and the nation. This education also serves to create intelligent students, noble character, good personality and skills that can be useful to help other communities. Educational administration and education are very related, because they are very dependent. Educational administration is all processes and joint activities that must be carried out by someone related to educational tasks. If an education without education administration is accompanied by it will not be achieved an educational goal that is good for the welfare of society. From every educational process there is a need for educational administration. The purpose of both is very clear. With this education, can improve human resources for the progress of a nation. As we know now there are still many obstacles that occur in some areas for the implementation of a learning process and learning, this is influenced by several factors. With these obstacles, a teacher must be able to provide education and education administration to all students. The science of education administration is very useful for the community and students. Administration is not only about finance but also about skills and bookkeeping and has goals in accordance with educational goals.

Robot Teaching, Pedagogy, and Policy

2020 ◽  
pp. 787-803
Author(s):  
Elana Zeide
Keyword(s):  
Artificial Intelligence ◽  
Analytical Methods ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning Systems ◽  
Policy Decisions ◽  
Public Discussion ◽  
Teaching Pedagogy ◽  
Do So

This chapter looks at the use of artificial intelligence (AI) in education, which immediately conjures the fantasy of robot teachers, as well as fears that robot teachers will replace their human counterparts. However, AI tools impact much more than instructional choices. Personalized learning systems take on a whole host of other educational roles as well, fundamentally reconfiguring education in the process. They not only perform the functions of robot teachers but also make pedagogical and policy decisions typically left to teachers and policymakers. Their design, affordances, analytical methods, and visualization dashboards construct a technological, computational, and statistical infrastructure that literally codifies what students learn, how they are assessed, and what standards they must meet. However, school procurement and implementation of these systems are rarely part of public discussion. If they are to remain relevant to the educational process itself, as opposed to just its packaging and context, schools and their stakeholders must be more proactive in demanding information from technology providers and setting internal protocols to ensure effective and consistent implementation. Those who choose to outsource instructional functions should do so with sufficient transparency mechanisms in place to ensure professional oversight guided by well-informed debate.

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

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