Implementasi Algoritma Neural Network dalam Memprediksi Tingkat Kelulusan Mahasiswa

2020 ◽  
Vol 4 (2) ◽  
pp. 286
Author(s):  
Ridwan Ridwan ◽  
Hendarman Lubis ◽  
Prio Kustanto
Keyword(s):  
Neural Network ◽  
Image Data ◽  
Two Dimensions ◽  
Quality Of Education ◽  
The Neural Network ◽  
Neural Network Algorithm ◽  
Student Graduation ◽  
The Government ◽  
Value Of Accreditation

Higher education institutions are demanded to be quality education providers. One of the instruments used by the government to measure the quality of education providers is the number of graduates. The higher the graduation level, the better the quality of education and this good quality will positively influence the value of accreditation given by BAN-PT. Therefore, in this study the researchers provided input for research conducted at Bhayangkara Jakarta Raya University to predict student graduation rates using the Neural Network algorithm. Neural Network is one method in machine learning developed from Multi Layer Perceptron (MLP) which is designed to process two-dimensional data. Neural Network is included in the Deep Neural Network type because of its deep network level and is widely implemented in image data. Neural Network has two methods; namely classification using feedforward and learning stages using backpropagation. The way Neural Network works is similar to MLP, but in Neural Network each neuron is presented in two dimensions, unlike MLP where each neuron is only one dimensional in size. The prediction accuracy obtained is 98.27%.

Using neural network model to estimate the rental price of residential properties

2019 ◽  
Vol 24 (2) ◽  
pp. 217-230
Author(s):  
Olalekan Shamsideen Oshodi ◽  
Wellington Didibhuku Thwala ◽  
Tawakalitu Bisola Odubiyi ◽  
Rotimi Boluwatife Abidoye ◽  
Clinton Ohis Aigbavboa
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Predictive Accuracy ◽  
Content Type ◽  
The Neural Network ◽  
Residential Properties ◽  
African Context ◽  
Neural Network Algorithm ◽  
The Government

Purpose Estimation of the rental price of a residential property is important to real estate investors, financial institutions, buyers and the government. These estimates provide information for assessing the economic viability and the tax accruable, respectively. The purpose of this study is to develop a neural network model for estimating the rental prices of residential properties in Cape Town, South Africa. Design/methodology/approach Data were collected on 14 property attributes and the rental prices were collected from relevant sources. The neural network algorithm was used for model estimation and validation. The data relating to 286 residential properties were collected in 2018. Findings The results show that the predictive accuracy of the developed neural network model is 78.95 per cent. Based on the sensitivity analysis of the model, it was revealed that balcony and floor area have the most significant impact on the rental price of residential properties. However, parking type and swimming pool had the least impact on rental price. Also, the availability of garden and proximity of police station had a low impact on rental price when compared to balcony. Practical implications In the light of these results, the developed neural network model could be used to estimate rental price for taxation. Also, the significant variables identified need to be included in the designs of new residential homes and this would ensure optimal returns to the investors. Originality/value A number of studies have shown that crime influences the value of residential properties. However, to the best of the authors’ knowledge, there is limited research investigating this relationship within the South African context.

The Optimization of Wire Bonding Parameters and Quality Prediction Model Based on Neural Network

2012 ◽  
Vol 542-543 ◽  
pp. 976-980 ◽  
Author(s):  
Xiao Dan Guan ◽  
Gang Chen ◽  
Wan Lei Liang
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Structural Parameters ◽  
Wire Bonding ◽  
Quality Prediction ◽  
Bonding Quality ◽  
Bonding Parameters ◽  
The Neural Network ◽  
Neural Network Algorithm

In this article, the parameters affecting the quality of wire bonding are analyzed by orthogonal testing with the methods of variance analysis and F tests. By analyzing the results, parameters that have a major impact on the quality of wire bonding are optimized. Because the relationship is complicated and non-linear between the impacting parameters and bonding quality, this article introduces a neural network algorithm of BPNN to build a model describing it. The structural parameters of the neural network are identified and a quality prediction model of wire bonding is established in this article. The model is validated, the results show that this proposed model has higher precision and it can accurately reflect the trends of the bonding quality indicators.

scholarly journals University as an analogue of the neural network

2021 ◽  
Vol 258 ◽  
pp. 07056
Author(s):  
Ibragim Suleimenov ◽  
Akhat Bakirov ◽  
Guliyash Niyazova ◽  
Dina Shaltykova
Keyword(s):  
Neural Network ◽  
Effective Means ◽  
Peer Education ◽  
Quality Of Education ◽  
University Graduates ◽  
Abrupt Increase ◽  
University System ◽  
The Neural Network ◽  
The University

A mathematical model is proposed, which allows to estimate the number of successful university graduates based on parameters characterizing the effectiveness of vertical (lectures, seminars) and horizontal (peer education) training. It is shown that with low effectiveness of vertical learning, an effective means of improving the quality of education in general is the targeted formation of horizontal groups within which information is exchanged. It is shown that with extremely low quality of vertical learning, the behavior of the “university” system is characterized by phase transitions: with a smooth increase in the parameter characterizing the intensity of horizontal learning, there is an abrupt increase in the number of successful graduates. It has been established that with the existence of pronounced links between individual lecture courses, the “university” system becomes an analogue of a neural network.

Prediction of Arrival of Archipelago Tourists and Abroad Based on Regions Using Neural Network Algorithm Based on Genetic Algorithm

2018 ◽  
Vol 1 (2) ◽  
pp. 75
Author(s):  
Mohamad Ilyas Abas ◽  
Alter Lasarudin
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Good Method ◽  
Tourist Attractions ◽  
The Neural Network ◽  
Tourism Sector ◽  
The World ◽  
Network Method ◽  
Neural Network Algorithm ◽  
The Government

Tourists are an integral part of the world of tourism. Generally tourists visit to see the diversity of an area. In Gorontalo, several tourist attractions have been visited by domestic and foreign tourists. This is certainly a large amount so that it can help improve economic growth in Gorontalo from the tourism sector. Therefore the need for knowledge of the number of tourists for the coming year. So that, it can provide an analysis of the consideration of the decision to the government to be able to prepare steps in building the economy of the tourism sector. The number of tourists can be made a prediction using the method in data mining namely the Neural Network. Neural Network is a good method for predicting non-linear datasets such as number of tourists. with the Neural Network method it can be done. Not only that, Genetic Algorithm will be used to optimize the parameters of the Neural Network so that it can increase the accuracy value that can be measured with the Root Mean Square Error (RMSE) value. The results of this study indicate that the value of RMSE for domestic tourist data as follows: Gorontalo City: 0.116, Gorontalo Regency: 0.220, Boalemo: 0.073, Pohuwato: 0.142, Bone Bolango: 0.078, North Gorontalo: 0.093. For foreign tourists, Gorontalo City: 0.117, Gorontalo Regency: 0.178, Boalemo: 0.075, Pohuwato: 0.099, Bone Bolango: 0.124, North Gorontalo: 0.155.

Strategi Penyelenggaraan Diklat Dan Ujian Sertifikasi Keahlian Pengadaan Barang/ Jasa Pemerintah Di Lingkungan Pemerintah Kabupaten Magelang

2017 ◽  
Vol 24 (1) ◽  
pp. 87-106
Author(s):  
Wiharyanto Wiharyanto
Keyword(s):  
Education And Training ◽  
Test System ◽  
Civil Servants ◽  
Quality Of Education ◽  
Alternative Formulation ◽  
Computer Assisted ◽  
Certification Exams ◽  
The Government ◽  
And Training

The study aims to analyze about the low graduation and certification exam training participants of the procurement of goods / services of the government and its contributing factors, and formulate a strategy of education and training and skills certification exams procurement of goods / services of the government. Collecting data using the method of study documentation, interviews, and questionnaires. Is the official source of information on the structural and functional Regional Employment Board, as well as the participants of the training and skills certification exams procurement of goods / services of the government in Magelang regency government environment. Analysis using 4 quadrant SWOT analysis, to determine the issue or strategic factors in improving the quality of education and training and skills certification exams procurement of government goods / services within the Government of Magelang regency. The results show organizer position is in quadrant I, which is supporting the growth strategy, with 3 alternative formulation strategies that improve the quality of education and training and skills certification exams procurement of government goods / services, and conducts certification examination of the procurement of government goods / services with computer assisted test system (CAT). Based on the research recommendations formulated advice to the organizing committee, namely: of prospective participants of the training and skills certification exams procurement of goods / services the government should consider the motivation of civil servants, is examinees who have attended training in the same period of the year, the need for simulation procurement of goods / services significantly, an additional allocation of training time, giving sanction to civil servants who have not passed the exam, the provision of adequate classroom space with the number of participants of each class are proportional, as well as explore the evaluation of education and training and skills certification exams procurement of goods / services for Government of participants.

scholarly journals A Method of Ore Blending Based on the Quality of Beneficiation and Its Application in a Concentrator

2021 ◽  
Vol 11 (11) ◽  
pp. 5092
Author(s):  
Bingyu Liu ◽  
Dingsen Zhang ◽  
Xianwen Gao
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Industrial Test ◽  
Modeling Method ◽  
Daily Work ◽  
Production Site ◽  
Neural Network Algorithm ◽  
The Relationship ◽  
Ore Dressing

Ore blending is an essential part of daily work in the concentrator. Qualified ore dressing products can make the ore dressing more smoothly. The existing ore blending modeling usually only considers the quality of ore blending products and ignores the effect of ore blending on ore dressing. This research proposes an ore blending modeling method based on the quality of the beneficiation concentrate. The relationship between the properties of ore blending products and the total concentrate recovery is fitted by the ABC-BP neural network algorithm, taken as the optimization goal to guarantee the quality of ore dressing products at the source. The ore blending system was developed and operated stably on the production site. The industrial test and actual production results have proved the effectiveness and reliability of this method.

Construction of first-class university course based on artificial intelligence and neural network algorithm

2020 ◽  
pp. 1-12
Author(s):  
Yingli Duan
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Vocational Training ◽  
Network Algorithms ◽  
Teaching Efficiency ◽  
Neural Network Algorithm ◽  
Solid Foundation ◽  
University Level ◽  
University Course

Curriculum is the basis of vocational training, its development level and teaching efficiency determine the realization of vocational training objectives, as well as the quality and level of major vocational academic training. Therefore, the development of curriculum is an important issue. And affect the school’s teaching capacity building. The analysis of the latest developments in the main courses shows that there are some deviations or irrationalities in the curriculum in some colleges and universities, and the general problems of understanding the latest courses, such as lack of solid foundation in curriculum setting, unclear direction of objectives, unclear reform ideas, inadequate and systematic construction measures, lack of attention to the quality of education. This paper explains the rules for the establishment of first-level courses, clarifies the ideas and priorities of architecture, and explores strategies for building university-level courses using knowledge of artificial intelligence and neural network algorithms in order to gain experience from them.

MAPPING QUALITY OF PAUD AND PNF ACCREDITATION IN KULONPROGO DISTRICT, YOGYAKARTA

2021 ◽  
Vol 4 (3) ◽  
pp. 954-969
Author(s):  
Royati
Keyword(s):  
Case Study Research ◽  
Qualitative Approach ◽  
Quality Of Education ◽  
Study Research ◽  
Accreditation Program ◽  
Mapping Analysis ◽  
The Government

AbstractAccreditation is one of the governments to improve the quality of education. Likewise, to ensure the quality of education at the PAUD and PNF levels, the government held an accreditation program. However, it still has issues that need to be resolved. This study aims to identify and describe the problems of accreditation and quality mapping in the Education Office of Kulonprogo Regency. This research uses a qualitative approach and type of case study research. Based on the results of this research, in mapping the quality of accreditation in PAUD and PNF in Kulonprogo Regency, the first activity carried out was to conduct a quality mapping analysis of each institution. And the results show that the average standard kindergarten, KB, Pos PAUD, LPK and PKBM institutions that must be supervised strictly is the standard of financing. After conducting the analysis, a workshop was conducted with the Dikpora and all PAUD and PNF heads. Keywords: Quality mapping, accreditation, PAUD, PNF.

scholarly journals Manajemen Keuangan Madrasah yang Bersumber dari Masyarakat

At-Turats ◽  
2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Khoirul Anam
Keyword(s):  
Financial Management ◽  
Educational Institution ◽  
National Development ◽  
Quality Of Education ◽  
Islamic School ◽  
Islamic Schools ◽  
School Committee ◽  
The Government ◽  
Improve Access

Indicator of Indonesian’s national development is the quality of education. Islamic school’s funding is an important instrument to improve access, quality, and competitiveness of educational institution. Islamic schools education funding source are joint responsibility of the government and the community. Community-sources funding is managed by the Islamic school committee and supervised by the internal supervisor. Moreover, the financial management was carried out with the following mechanism: submitting the proposal from the Islamic school to the committee, approving the proposal, disbursement process, and then reporting the agenda to the Islamic school committee. Therefore, the committee’s internal supervisor is controlled every 6 months. In addition, the following barriers come from the parents and student.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM PROVINSI, DAN TINGKAT PENDIDIKAN TERHADAP PENGANGGURAN TERBUKA DI INDONESIA

Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 162
Author(s):  
Syurifto Prawira
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Education Level ◽  
Quality Of Education ◽  
Wage System ◽  
Negative Effect ◽  
The Government

This study aims to analyze the effect of economic growth, provincial minimum wage, and education level on open unemployment rate in Indonesia in 2011-2015, either simultaneously or partially. Using panel data with Fixed Efect Model (FEM) approach and using secondary data of 33 provinces in Indonesia. The model estimation results show that the variable of economic growth, provincial minimum wage, and education level simultaneously have significant effect on open unemployment rate in Indonesia. While the partial variable of economic growth has a negative effect but no significant effect on the unemployment rate. The provincial minimum wage variable is partially positive and significant to the unemployment rate. The variable of educational level also have positive and significant effect to unemployment rate. The government is expected to pay serious attention to economic growth, minimum wage system, improving the quality of education, the issue of availability of employment opportunities. Keyword: Economic Growth, Wage, Education, and Unemployment

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