scholarly journals Sistem Tutorial Berbasis Kecerdasan Buatan Pada Proses Pengambilan Keputusan Perawatan dan Perbaikan Gitar

2019 ◽  
Vol 3 (1) ◽  
pp. 79-86
Author(s):  
Agusta Rakhmat Taufani ◽  
Harits Ar Ar Rosyid
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Repair Process ◽  
Musical Instrument ◽  
Certainty Factor ◽  
Maintenance And Repair ◽  
On Certainty ◽  
Total Percentage ◽  
The World

Guitar is a popular musical instrument in the world and is a metronome for every use in various music events and its correlation. As a metronome, the guitar must be well standardized on the quality of each part so that sound that comes in line with the user's expectations in this case is the guitarist. Damage to the guitar is something normal because of its intense use so it needs proper handling in the repair process. The easiest thing is to bring a broken guitar to the experts, but when there are not many guitar service experts or a long enough distance to reach it, then guitar repairs need to be done immediately. Therefore, it is necessary to develop a system that can act as a tutor in the maintenance and repair of guitars by utilizing artificial intelligence embedded in the system. With the help of artificial intelligence, it is expected that the system can assist in the decision making of guitar technicians in the process of making guitar repair decisions based on the symptoms that occur. Decision making used uses the certainty factor method based on certainty factors. After going through the equivalence partitioning testing process, in general this system produces a total percentage of 100% on the success of the item test by experts in the testing process of the 25 items tested. Thus the application meets the requirements for making the program, which is readable and valid.

scholarly journals Decentralization of Education Planning and Its Impact in Quality

2014 ◽  
Vol 3 ◽  
pp. 4-12
Author(s):  
Bhawani Prasad Mainali
Keyword(s):  
Decision Making ◽  
Basic Concept ◽  
Educational Quality ◽  
Quality Of Education ◽  
Policy Issues ◽  
Education Planning ◽  
The World ◽  
Decentralization Of Education

This article has attempted to present an overview of basic concept, rationale and trends of decentralization in education planning and to identity the major policy issues and challenges relating to educational quality in Nepalese context. Decentralization in education around the world has based on the assumption that the quality of education will improve by shifting a decision making and accountability closer to schools, class rooms and learners.Academic Voices, Vol. 3, No. 1, 2013, Pages 4-12 DOI: http://dx.doi.org/10.3126/av.v3i1.9979 

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

scholarly journals How Africa Should Engage Ubuntu Ethics and Artificial Intelligence

2020 ◽  
Vol 2 (4) ◽  
pp. 20-25
Author(s):  
Simon K. Langat ◽  
Pascal M. Mwakio ◽  
David Ayuku
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Society ◽  
Communitarian Ethics ◽  
Global Organization ◽  
The World ◽  
New Thinking ◽  
Long Time

Automation of human tasks has taken place for a long time now. Humans have in earlier periods dreamed of a world where machines capable of mimicking decision making would be created with some works of fiction describing in caricature, how machines would take over the human space in the world. Artificial intelligence has come to fruition in the last few decades following the development of fast computing capability and vast chip memory. Discussions of how the human space will look and feel when artificial intelligence have taken place at various levels of global organization geared towards ensuring that the new “thinking machines” do not rock human society in ways to render them obsolete. This article looks at the ethics of AI considering the issues that have been outlined by others in the light of communitarian ethics as seen in Africa. It describes the possible impact of thinking machines on society and how individuals would relate with each other and with AI systems.

Artificial Intelligence in Aviation Industries

2020 ◽  
pp. 1-35
Author(s):  
Tetiana Shmelova ◽  
Arnold Sterenharz ◽  
Serge Dolgikh
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Making ◽  
Unmanned Aircraft ◽  
Innovative Technology ◽  
Sociotechnical System ◽  
Air Traffic Controllers ◽  
High Degree ◽  
Difficult Situations

This chapter presents opportunities to use Artificial Intelligence (AI) in aviation and aerospace industries. The AI used an innovative technology for improving the effectiveness of building aviation systems in each stage of the lifecycle for enhancing the security of aviation systems and the characteristic ability to learn, improve, and predict difficult situations. The AI is presented in Air Navigation Sociotechnical system (ANSTS) because the activity of ANSTS, is accompanied by a high degree of risk of causing catastrophic outcomes. The operator's models of decision making in AI systems are presented such as Expert Systems, Decision Support Systems for pilots of manned and unmanned aircraft, air traffic controllers, engineers, etc. The quality of operator's decisions depends on the development and use of innovative technology of AI and related fields (Big Data, Data Mining, Multicriteria Decision Analysis, Collaboration Decision Making, Blockchain, Artificial Neural Network, etc.).

ARTIFICIAL INTELLIGENCE AND "PREDICTED JUSTICE": FOREIGN EXPERIENCE

Lex Russica ◽  
2019 ◽  
pp. 79-87
Author(s):  
P. N. Biryukov
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Relevant Information ◽  
Final Decision ◽  
Legal Information ◽  
The Right ◽  
Task Interpretation ◽  
Short Time ◽  
Analytical Tools

The paper deals with the problems of application of artificial intelligence (AI) in the field of justice. Present day environment facilitates the use of AI in law. Technology has entered the market. As a result, "predicted justice" has become possible. Once an overview of the possible future process is obtained, it is easier for the professional to complete the task-interpretation and final decision-making (negotiations, litigation). It will take a lot of work to bring AI up to this standard. Legal information should be structured to make it not only readable, but also effective for decision-making. "Predicted justice" can help both the parties to the case and the judges in structuring information, and students and teachers seeking relevant information. The development of information technology has led to increased opportunities for "predicted justice" programs. They take advantage of new digital tools. The focus is on two advantages of the programs: a) improving the quality of services provided; b) simultaneously monitoring the operational costs of the justice system. "Predicted justice" provides algorithms for analyzing a huge number of situations in a short time, allowing you to predict the outcome of a dispute or at least assess the chances of success. It helps: choose the right way of defense, the most suitable arguments, estimate the expected amount of compensation, etc. Thus, it is not about justice itself, but only about analytical tools that would make it possible to predict future decisions in disputes similar to those that have been analyzed.

MANAGEMENT TECHNICAL CONDITION OF TRANSPORT AND TECHNOLOGICAL MACHINES RUNNING INFORMATION AND TIPS SYSTEM DURING MAINTENANCE AND REPAIR

2016 ◽  
Vol 3 (1) ◽  
pp. 489-493
Author(s):  
Шапошников ◽  
Yu. Shaposhnikov ◽  
Орлов ◽  
R. Orlov
Keyword(s):  
Decision Making ◽  
Repair Process ◽  
Technical Condition ◽  
Technical State ◽  
Diagnostic Equipment ◽  
Maintenance And Repair ◽  
State Management ◽  
Generalized Information ◽  
Maintenance Work

The effectiveness of the control of a technical condition of transport and technological machines is achieved by the inclusion of information and advising systems in the process of maintenance and repair process. The completeness of the information on the technical condition of units and systems to determine the need for and volume of maintenance work and repairs. technical state management is based on generalized information on-board computer and diagnostic equipment, its optimization and decision-making.

The Absence of Narrative: Boredom and the Residual Power of Television News

1994 ◽  
Vol 4 (1-2) ◽  
pp. 25-40 ◽  
Author(s):  
Justin Lewis
Keyword(s):  
Decision Making ◽  
Television News ◽  
Conventional Wisdom ◽  
Public Understanding ◽  
The World ◽  
Residual Power

Abstract The article begins by arguing—against conventional wisdom—that one of the defining features of television news is the absence of narrative codes in its structure. Rather than raising the questions that it later resolves, television news has a disjointed structure that makes it hard to follow or comprehend. Viewers find it much more difficult, for this reason, to retain information from the news than from almost any other form of television. To understand the influence of television news, we must understand which elements this disjointed narrative encourages us to retain. These elements tend to involve oft-repeated sets of simple associations rather than any more complex histories. Indeed, the failure of news to communicate historical connections impoverishes the quality of decision making and public understanding by citizens who increasingly rely upon television news to provide information about the world.

Computational Statistics-Based Prediction Algorithms Using Machine Learning

2021 ◽  
pp. 64-80
Author(s):  
Venkat Narayana Rao T. ◽  
Manogna Thumukunta ◽  
Muralidhar Kurni ◽  
Saritha K.
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Predictive Models ◽  
Industrial Revolution ◽  
Computational Statistics ◽  
Market Risks ◽  
The World ◽  
Lasting Impression ◽  
Stock Values

Artificial intelligence and automation are believed by many to be the new age of industrial revolution. Machine learning is an artificial intelligence section that recognizes patterns from vast amounts of data and projects useful information. Prediction, as an application of machine learning, has been sought after by all kinds of industries. Predictive models with higher efficiencies have proven effective in reducing market risks, predicting natural disasters, indicating health risks, and predicting stock values. The quality of decision making through these algorithms has left a lasting impression on several businesses and is bound to alter how the world looks at analytics. This chapter includes an introduction to machine learning and prediction using machine learning. It also sheds light on its approach and its applications.

scholarly journals Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1374
Author(s):  
Juan M. Sánchez ◽  
Juan P. Rodríguez ◽  
Helbert E. Espitia
Keyword(s):  
Artificial Intelligence ◽  
Public Policy ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Agricultural Production ◽  
Public Policies ◽  
Search Process ◽  
Agent Based ◽  
The World ◽  
Decision Making Processes

The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.

scholarly journals MENINGKATKAN KETERAMPILAN SISWA DALAM PEMBELAJARAN DATABASE, MAIL SERVER DI SEKOLAH SMKN 9 SURAKARTA

2020 ◽  
Vol 2 (2) ◽  
pp. 164-168
Author(s):  
Luxman Aji Prakoso ◽  
Abu Qosim Almisfalah ◽  
Endra Arief Kurniawan
Keyword(s):  
Decision Making ◽  
Information System ◽  
Relevant Information ◽  
Management Systems ◽  
Teacher Strategies ◽  
Mail Server ◽  
The World ◽  
Database Program ◽  
Development Of Students

In improving the quality of student skills in the process of learning databases, mailserver at SMKN 9 SURAKARTA, schools not only depend on the quality of managers but also improvement of management systems and the development of students' ability to apply database concepts. Mastery of database concepts is very important in order to improve student skills and improve student creativity in developing websites and improving the quality or ability of students so they can compete in the world of work. The database is one of the important components in information systems, with the information system it will provide accurate, timely and relevant information for its users so that it can be used for decision making. Teacher strategies in improving Database skills at SMKN 9 SURAKARTA, in delivering the teacher's material, first explain and explain clearly and hatefully then give examples of outputs from the database program, so students will try to be more competitive and efficient and try to improve skills in learning databases the.

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