Browsing P - Computer Sciences and Information Technology by Title
Now showing items 1-20 of 61
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A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT
(International Conference on Education 2014 (ICEdu14), 2014)This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ... -
A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT
(International Conference on Education 2014 (ICEdu14), 2014)This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ... -
Applications to determine the shortest tower BTS distance using Dijkstra algorithm
(AIP Publishing, 2016-10-19)Telecommunications Tower or so-called BTS (Base Transceiver System) Toweris one of the main components in the network infrastructure that has experienced an increase in the number of construction.Telecommunications tower ... -
The Artificial Neural Networks (ANN) for Batik Detection Based on Textural Features
(EAI publisher, 2019)The problem in this research is the difficulty in distinguishing batik motifs from non-batik motifs for people who do not understand batik motifs. The classification of batik motifs can be done by processing digital images ... -
Assessment of Teacher Performance Using Technique For Other Preference By Similarity To Ideal Solution (TOPSIS)
(IEEE, 2018-10-17)Teacher performance assessment is intended to create a professional teacher. Every teacher is a professional in his or her field and in recognition of their work performance, teacher performance assessment should be done ... -
Augmented Reality Peripheral Performance: Light Intensity, Distance, Occlusion and Marker Testing
(2021)Augmented Reality peripherals (ARP) that use marker detection objects have developed rapidly and are implemented in various forms to support the activities of everyday human life. The challenge that is currently being faced ... -
A backpropagation neural network algorithm in agricultural product prices prediction
(IEEE, 2021-05-17)The price of chili is one of the food commodities that can affect the inflation rate. Its uncertain price and even increasing at certain times will negatively impact society and state. The price offer for chili is still ... -
Certain Factor Analysis for Extra Pulmonary Tuberculosis Diagnosis
(IEEE, 2017-09-19)Tuberculosis is an infectious disease that is easily transmitted through the air. Tuberculosis mostly attacks the lungs, but this disease can also attack other organs called extrapulmonary. The Extra pulmonary tuberculosis ... -
Comparing performance of Backpropagation and RBF neural network models for predicting daily network traffic
(2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI), 2015-03-26)The predicting daily network traffic usage is a very important issue in the service activities of the university. This paper present techniques based on the development of backpropagation (BP) and radial basis function ... -
Comparison Between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities
(International Conference on Management Science and Engineering Management ICMSEM 2017, 2017-06-29)A network traffic utilization in order to support teaching and learning activities are an essential part. Therefore, the network traffic management usage is requirements. In this study, analysis and clustering network ... -
Comparison of ANN Back Propagation Techniques in Modelling Network Traffic Activities
(1st International Conference on Science and Technology for Sustainability (ICosTechs), 2014)In this paper, we demonstrated a method used for forecasting the daily network traffic activities by using artificial neural network (ANN) with back propagation (BP) algorithms. We used the inputs and outputs of data from ... -
Comparison of TCP Variants in Long Term Evolution (LTE)
(2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE) - Universitas Negeri Malang, 2017-10-07)Transmission Control Protocol (TCP) is one of the protocols that work in the OSI (Open System Interconnection) modeling transport layer. TCP was designed more for wired networks. However, to meet the need for rapid development ... -
Comparison of Two Methods Between TOPSIS and MAUT In Determining BIDIKMISI Scholarship
(IEEE, 2018-10-17)Bidikmisi is one of the scholarships provided to students in universities, including Mulawarman University. To get the scholarship, students must meet the requirements and standards set by the government. The problem is ... -
Customer trust of online shopping using social media
(IOP Conf. Series: Materials Science and Engineering 403, 2018-09-14)Recently, people have tendency to purchase goods from online stores. This study aims to determine the level of students trust in social media online stores. In this descriptive qualitative study, data and information ... -
Dayak Onion (Eleutherine palmifolia (L) Merr) as An Alternative Treatment in Early Detection of Dental Caries using Certainty Factor
(IEEE, 2021-01-13)Dayak onion plants are traditionally used by the Dayak tribe as a medicinal plant to treat dental caries. This plant contains compounds that can inhibit the growth of bacteria that cause dental caries. The public has not ... -
Decision Making of Banana Varieties Based on Land in Samarinda Using ELECTRE Method
(Advances in Intelligent Systems Research (AISR), volume 144 - Atlantis Press, 2017-11-30)Indonesia is an agrarian country, a country with fertile soil and rich in nutrients so that a lot of land that can be used as agricultural land for a variety of plants one of which is a banana plant. Banana is a plant that ... -
Decision Support System For New Employee Recruitment Using Weighted Product Method
(IEEE / Universitas Diponegoro, 2017)Companies need new employees that are expected to meet the assessment of each criteria. The criteria set by the company is expected to become a quality standard for the employee's own personal progress. One of the problems ... -
Decision Support System For New Employee Recruitment Using Weighted Product Method
(IEEE, 2016-10-19)Companies need new employees that are expected to meet the assessment of each criteria. The criteria set by the company is expected to become a quality standard for the employee's own personal progress. One of the problems ... -
Decision Support System of Direct Cash-Village Fund Recipients Using Multi Attribute Utility Theory
(IEEE, 2021-12-29)Direct Village Fund Cash Assistance (BLT-Dana Desa) is a form of assistance from the government in the form of cash to poor families in villages sourced from the Village Fund to reduce the impact of the COVID-19 pandemic. ... -
Department Recommendations for Prospective Students Vocational High School of Information Technology with Naïve Bayes Method
(IEEE / Universitas Diponegoro, 2016)The selection of the appropriate department in Vocational High School gives the big difference of the ability in thinking for the students. Most students tend to follow their friends in choosing the departments so that the ...