scholarly journals Untangling decision tree and real options analyses: a public infrastructure case study dealing with political decisions, structural integrity and price uncertainty

2018 ◽  
Vol 37 (1) ◽  
pp. 24-43 ◽  
Author(s):  
M. van den Boomen ◽  
M. T. J. Spaan ◽  
R. Schoenmaker ◽  
A. R. M. Wolfert
Keyword(s):  
Decision Tree ◽  
Real Options ◽  
Structural Integrity ◽  
Price Uncertainty ◽  
Public Infrastructure ◽  
Political Decisions

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 Hegemonic Distortions: The Securitisation of the Insurgency in Thailand's Deep South

2019 ◽  
Vol 7 (2) ◽  
pp. 209-232
Author(s):  
Nicole Jenne ◽  
Jun Yan Chang
Keyword(s):  
External Environment ◽  
Southeast Asian ◽  
Deep South ◽  
Internal Security ◽  
Current Period ◽  
Security Challenges ◽  
Islamist Terrorism ◽  
Political Decisions

AbstractThe conflict between the Thai state and the Malay-Muslim insurgency in the country's Deep South is one of Southeast Asia's most persistent internal security challenges. The start of the current period of violence dates back to the early 2000s, and since then, a significant number of studies exploring the renewed escalation have been published. In this study, we argue that existing scholarship has not adequately accounted for the external environment in which political decisions were taken on how to deal with the southern insurgency. We seek to show how the internationally dominant, hegemonic security agenda of so-called non-traditional security (NTS) influenced the Thai government's approach to the conflict. Building upon the Copenhagen School's securitisation theory, we show how the insurgency became securitised under the dominant NTS narrative, leading to the adoption of harsh measures and alienating discourses that triggered the escalation of violence that continues today. The specific NTS frameworks that ‘distorted’ the Thai state's approach of one that had been informed solely by local facts and conditions were those of anti-narcotics and Islamist terrorism, albeit in different ways. Based on the findings from the case study, the article concludes with a reflection on the role of the hegemonic NTS agenda and its implications for Southeast Asian politics and scholarship.

scholarly journals Does Tenure Security Reduce Disaster Risk? A Comparative Study of the Nairobi Settlements of Kibera and Kawangware

2021 ◽  
Author(s):  
Rónán McDermott ◽  
Pat Gibbons ◽  
Dalmas Ochieng ◽  
Charles Owuor Olungah ◽  
Desire Mpanje
Keyword(s):  
Structural Integrity ◽  
Disaster Risk ◽  
Comparative Case Study ◽  
Complex Relationship ◽  
Tenure Security ◽  
Household Level ◽  
Urban Informal Settlements ◽  
The Relationship

AbstractWhile scholarship suggests that improving tenure security and housing significantly reduces disaster risk at the household level within urban settings, this assertion has not been adequately tested. Tenure security can be conceived as being composed of three interrelated and overlapping forms: tenure security as determined by legal systems; de facto tenure security; and tenure security as perceived by residents. This article traces the relationship between tenure security, the quality of housing, and disaster risk on the basis of a mixed methods comparative case study of the settlements of Kawangware and Kibera in Nairobi. Although the findings suggest that owner-occupancy is associated with the structural integrity of dwellings to a greater extent than tenantship, no association was found between the length of occupancy by households and the structural integrity of the dwelling. Moreover, tenantship is not found to be closely associated with fires and flooding affecting the dwelling as extant scholarship would suggest. Formal ownership is linked with greater investment and upgrading of property with significant implications for disaster risk. Our findings highlight the complex relationship between tenure security and disaster risk in urban informal settlements and provide impetus for further investigation.

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.

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.

Implementation of Decision Tree for Maintenance Policy Decision Making - A Case Study in Semiconductor Industry

2012 ◽  
Vol 591-593 ◽  
pp. 704-707 ◽  
Author(s):  
Siew Hong Ding ◽  
Teing Tien Goh ◽  
Pei Sze Tan ◽  
Siew Ching Wee ◽  
Shahrul Kamaruddin
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Failure Mechanism ◽  
Semiconductor Industry ◽  
Policy Decision ◽  
Decision Making Process ◽  
Maintenance Policy ◽  
Machine Performance ◽  
Policy Decision Making

Suitable maintenance policy implemented in particular machine able to improve the machine performance as well as the product quality. However, selecting a suitable maintenance policy is a vital and hard work because it has to be decided from analysis of various criteria including failure mechanism and resources limitation. Thus, decision tree is suggested in this paper to provide assistance for maintenance crew in conducting a systematic and efficient decision making process in determining the suitable maintenance policy. In the end of the paper, a case study in semiconductor industry is conducted to illustrate the practicability of developed decision tree.

scholarly journals Residual Life Assessment of Electricity Pylons – A Case Study

2009 ◽  
Vol 413-414 ◽  
pp. 219-228 ◽  
Author(s):  
John R. Maguire
Keyword(s):  
Structural Integrity ◽  
Residual Life ◽  
Life Assessment ◽  
Original Design ◽  
Integrity Assessment ◽  
Specific Safety ◽  
Residual Life Assessment ◽  
Independent Assessment ◽  
Overhead Power Line

This case study describes a structural integrity assessment of a 220 kV overhead power line. The line comprises 70 pylons over a distance of approximately 30 km, predominantly in a valley location. The pylons are spaced at intervals of approximately 400 m and each pylon is approximately 32 m in height. The line was originally constructed in the 1950’s, approximately 50 years prior to the requested structural integrity assessment. This paper describes the independent assessment that was carried out. The review established site-specific safety factors at the time of original design and construction; at the time of the review (2007), accounting for the possible presence of the “Thomasstahl” steel; and in the future, at the anticipated end of pylon life (in 2012).

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