scholarly journals DECISION TREE C4.5 ALGORITHM FOR TUITION AID GRANT PROGRAM CLASSIFICATION (CASE STUDY: DEPARTMENT OF INFORMATION SYSTEM, UNIVERSITAS TEKNOKRAT INDONESIA)

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Heni Sulistiani ◽  
Ahmad Ari Aldino
Keyword(s):  
Decision Tree ◽  
Classification Model ◽  
Grant Program ◽  
C4.5 Algorithm ◽  
Long Time ◽  
The Right ◽  
Short Time ◽  
Tuition Fee

In pandemic era, almost everyone struggles for their life. College students are such example. They have difficulty in paying tuition fee to continue their study. Based on this problematic situation, Universitas Teknokrat Indonesia grants the students who have good academic performance with tuition fee aid program. Many variables used for determining the grant made it hard to make a decision in a short time or even takes very long time. To make it easier for management to decide who is the right student to get grant, it needs classification model. The purpose of this study is the classification of grant recipients by using decision tree C4.5 algorithm. That can determine whether a potential student can be accepted as an awardee or not. Then, the results of the classification are validated with ten-fold cross validation with an accuracy, precision and recall with the score of 87 % for all part. It means the model perform quite well to be implemented into system.

Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Microsoft Excel ◽  
Customer Data ◽  
Data Mining Techniques ◽  
C4.5 Algorithm ◽  
Marketing Costs ◽  
Excel Format ◽  
Data Mining Application

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future

scholarly journals Leadership Style, Ethics, and Strategy in Indonesian Navy - Case Study: Leadership of Rear Admiral Agung Prasetiawan, M.AP, (2017-Present) Commander of Kolinlamil

2017 ◽  
Vol 7 (4) ◽  
pp. 121
Author(s):  
Faurna Lusiani Pakpahan ◽  
Hady Efendy
Keyword(s):  
Leadership Style ◽  
Main Task ◽  
Organizational Goals ◽  
Important Thing ◽  
Long Time ◽  
Organization Leadership ◽  
Military Institution ◽  
The Right

In an organization, leadership in an organization exists from a long time ago to the present, and leadership is a very important thing. A leader must use the right style to lead the organization he leads. The leader must also have good ethics in leading the organization and use appropriate strategies, so that organizational goals can be achieved. The purpose of this paper is to find out how much influence of leadership style, ethics and strategy what is used by an organization leader in a military institution that is Navy at Tanjung Priok Command Military Traffic (Kolinlamil) Jakarta, to be able to achieve organizational goals under leadership of Rear Admiral Agung Prasetiawan, M.AP. Kolinlamil is the main command in coaching and operations, which in the field of guidance of Kolinlamil is directly under the head a navy staff (Kasal), while the field of operations is directly under the Commander of the Indonesian Military (TNI). Kolinlamil is a military institution whose main task is to shift military or civilian forces from one area to another based on existing rules and orders.

scholarly journals Sistem Informasi Geografis Risiko Kemunculan Rip Current Menggunakan Decision Tree C4.5

2016 ◽  
Vol 10 (2) ◽  
pp. 195
Author(s):  
Made Leo Radhitya ◽  
Agus Harjoko
Keyword(s):  
Decision Tree ◽  
Rip Current ◽  
Evaluation Result ◽  
Average Recall ◽  
C4.5 Algorithm ◽  
F Measure

One of the dangers that occur at the beach is rip current. Rip current poses significant danger for beachgoers. This paper proposes a method to predict the rip current's occurence risk by using decision tree generated using C4.5 algorithm. The output from the decision tree is rip current's occurrence risk. The case study for this research is the beach located at Rote Island, Rote Ndao, Nusa Tenggara Timur. Evaluation result shows that the accuracy is 0.84, and the precision is 0.61. The average recall value is 0.68 and the average F-measure is 0.59 in the range 0 to 1.

scholarly journals Hypnotic Metaphor аs a Discursive Mechanism of Speech Influence (a Case Study of Psychological Trainings by Natalia Grace)

2020 ◽  
pp. 50-58
Author(s):  
Elena A. Kozlova ◽  
Keyword(s):  
Mirror Neurons ◽  
Right Hemisphere ◽  
Object Code ◽  
Metaphorical Thinking ◽  
Psychotherapy Session ◽  
Basic Layer ◽  
The Right ◽  
And Linguistics

The article deals with the concept of hypnotic metaphor in psychiatry and linguistics and explores its application in the situation of public teaching discourse. The right-hemisphere mechanisms of perception are considered in order to detect sensory images, represented in the universal object code, since the processes of mastering the facts, which are based on similarity, adjacency, imagery, take place in the right hemisphere. The connection of mirror neurons with metaphorical thinking is assumed. The classification of metaphor types in psychotherapeutic literature is given. The article analyzes the performance of modern speaker-coaches, given as lectures, trainings, conversations and designed to effectively change the emotional mood and categorical constructs of listeners. Otherwise, listeners simply will not buy tickets for these events. It is concluded that modern lecture trainings are a kind of group psychotherapy session. Information is fed in a ‘live stream’ of right-hemisphere mechanisms involving mirror neurons. Coach rhetoric is a system of metaphors that are archetypes of consciousness and are part of the basic layer of the conceptual framework.

scholarly journals Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

2020 ◽  
Vol 1 (2) ◽  
pp. 68-72
Author(s):  
Hananda Hafizan ◽  
Anggita Nadia Putri
Keyword(s):  
Decision Tree ◽  
Nutritional Status ◽  
Public Health Service ◽  
Children Under Five ◽  
Under Five ◽  
C4.5 Algorithm ◽  
Decision Tree Method ◽  
Nutritional Status Of Children ◽  
Tree Method

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.

scholarly journals Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2067
Author(s):  
Nilsa Duarte da Silva Lima ◽  
Irenilza de Alencar Nääs ◽  
João Gilberto Mendes dos Reis ◽  
Raquel Baracat Tosi Rodrigues da Silva
Keyword(s):  
Decision Tree ◽  
High Efficiency ◽  
Rating Scale ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Environmental Efficiency ◽  
Classification Model ◽  
Bayes Algorithm ◽  
J48 Decision Tree

The present study aimed to assess and classify energy-environmental efficiency levels to reduce greenhouse gas emissions in the production, commercialization, and use of biofuels certified by the Brazilian National Biofuel Policy (RenovaBio). The parameters of the level of energy-environmental efficiency were standardized and categorized according to the Energy-Environmental Efficiency Rating (E-EER). The rating scale varied between lower efficiency (D) and high efficiency + (highest efficiency A+). The classification method with the J48 decision tree and naive Bayes algorithms was used to predict the models. The classification of the E-EER scores using a decision tree using the J48 algorithm and Bayesian classifiers using the naive Bayes algorithm produced decision tree models efficient at estimating the efficiency level of Brazilian ethanol producers and importers certified by the RenovaBio. The rules generated by the models can assess the level classes (efficiency scores) according to the scale discretized into high efficiency (Classification A), average efficiency (Classification B), and standard efficiency (Classification C). These results might generate an ethanol energy-environmental efficiency label for the end consumers and resellers of the product, to assist in making a purchase decision concerning its performance. The best classification model was naive Bayes, compared to the J48 decision tree. The classification of the Energy Efficiency Note levels using the naive Bayes algorithm produced a model capable of estimating the efficiency level of Brazilian ethanol to create labels.

scholarly journals Discriminating Developing versus Nondeveloping Tropical Disturbances in the Western North Pacific through Decision Tree Analysis

2015 ◽  
Vol 30 (2) ◽  
pp. 446-454 ◽  
Author(s):  
Wei Zhang ◽  
Bing Fu ◽  
Melinda S. Peng ◽  
Tim Li
Keyword(s):  
Decision Tree ◽  
Air Temperature ◽  
North Pacific ◽  
Western North Pacific ◽  
Temperature Anomaly ◽  
Relative Vorticity ◽  
Precipitation Rate ◽  
C4.5 Algorithm ◽  
Air Temperature Anomaly

Abstract This study investigates the classification of developing and nondeveloping tropical disturbances in the western North Pacific (WNP) through the C4.5 algorithm. A decision tree is built based on this algorithm and can be used as a tool to predict future tropical cyclone (TC) genesis events. The results show that the maximum 800-hPa relative vorticity, SST, precipitation rate, divergence averaged between 1000- and 500-hPa levels, and 300-hPa air temperature anomaly are the five most important variables for separating the developing and nondeveloping tropical disturbances. This algorithm also unravels the thresholds of the five variables (i.e., 4.2 × 10−5 s−1 for maximum 800-hPa relative vorticity, 28.2°C for SST, 0.1 mm h−1 for precipitation rate, −0.7 × 10−6 s−1 for vertically averaged convergence, and 0.5°C for 300-hPa air temperature anomaly). Six rules are derived from the decision tree. The classification accuracy of this decision tree is 81.7% for the 2004–10 cases. The hindcast accuracy for the 2011–13 dataset is 84.6%.

scholarly journals Determinants of job seekers to select recruitment agency for new job vacancies

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Phan Xuan Binh ◽  
Nguyen Minh Ha
Keyword(s):  
Third Party ◽  
Job Seekers ◽  
Employment Agency ◽  
Sustained Competitive Advantage ◽  
Recruitment Sources ◽  
Job Vacancy ◽  
Long Time ◽  
Local Companies ◽  
The Right ◽  
Short Time

The most important determinant of organizational effectiveness is the ability to attract, hire, and develop capable talent. The ability to attract and retain superior employees can lead to sustained competitive advantage for organizations. This is difficult due to the shrinking availability of qualified labor. The use of recruitment agency (RA) or employment agency allows human resource departments to target and identify quality candidates with more efficiency. RA, kind of consultancy, is normally understood as third party recruiter that finds jobs for people seeking them and finds people to fill particular jobs3 . Some RA focus their efforts on executive, managerial, and professional positions (white and yellow collar workers). These firms are split into two groups: (1) contingency firms that charge a fee only after a candidate has been hired by a client company and (2) retainer firms that charge a client a set fee whether or not the contracted search is successful. Most of RA in Vietnam apply contingency basis. Majority of foreign and big local companies use RA as one of the key recruitment sources to attract middle to senior level employees despite there is maybe higher expenses of this source than using other recruitment sources in some extents below: • The job vacancy is top confidential and recruiter cannot launch the public recruitment • The vacancy requires very short time to fill • The limited staffing resources of recruiting department or • The limited candidate pool in some industries or function which may cause very long time to fill the vacancy or to find out the right candidate.

scholarly journals PENERAPAN ALGORITMA C4.5 UNTUK PENENTUAN KELAYAKAN PEMBERIAN KREDIT (Studi Kasus : Koperia - Koperasi Warga Komplek Gandaria)

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Teguh Budi Santoso ◽  
Dela Sekardiana
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Classification Model ◽  
Decision Tree Classification ◽  
C4.5 Algorithm ◽  
Credit Worthiness ◽  
Loan Amount

<p><em>Current credit giving in KOPERIA (Koperasi Warga Komplek Gandaria) is still based on an objective process. Difficulties in determining the feasibility of giving credit are often experienced by cooperative managers, so that problems arise in the cooperative is a default payment of credit installments of customers in KOPERIA. This study aims to form a decision tree classification model to determine the customer's credit worthiness. In this study the application of C4.5 Algorithm, based on the Sets and Attributes used in this study, namely, the amount of income divided into 2 categories&gt; 5 million and 3-5 million, the amount of balance divided into three, namely&gt; 3 million, 1-3 million and &lt;1 Million, The Loan Amount is divided into three, namely 1-4 Months, 5-8 months, and 9-12 Months and Requirements with attributes of Business Capital, buying goods and others. In this study determine the appropriate root nodes, the classification results using C4.5 Algorithm shows that the accuracy of 97.5% is obtained, based on the results obtained shows that the c4.5 algorithm is suitable to be used to determine the feasibility of lending customers to KOPERIA.</em></p><p><strong><em>Keywords</em></strong><em>: Data Mining, C4.5 Algorithm</em><em>, loan feasibility</em></p>

scholarly journals Penerapan Algoritma C4.5 Untuk Penerimaan Siswa Baru Pada SMA Al-Azhar Medan

2018 ◽  
Vol 2 (2) ◽  
pp. 130
Author(s):  
Dedek Indra Gunawan Hts
Keyword(s):  
High School ◽  
Decision Tree ◽  
Selection Process ◽  
School Facilities ◽  
Admission Process ◽  
Good School ◽  
C4.5 Algorithm ◽  
Long Time ◽  
Good Reputation

Schools with good reputation are very concerned about the admission selection process. Al-Azhar Medan High School is very concerned about this admission process. Every year many parents register their children to enter Al-Azhar High School Medan. Besides having good school facilities the teachers also have good competencies. The number of students who register makes the selection process take a long time. The C4.5 algorithm is one algorithm that changes the fact that is quite large into a decision tree. This algorithm is expected to be able to solve problems that occur in Al-Azhar High School Medan.

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