A hybrid multi-criteria decision-making and system dynamics approach in vulnerability analysis of TNI-POLRI power

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Decision Science Letters Pub Date : 2022-01-01 DOI:10.5267/j.dsl.2022.6.004
B. Yulianto, I. G. Sudjatmiko, A. Octavian, I. Putra
{"title":"A hybrid multi-criteria decision-making and system dynamics approach in vulnerability analysis of TNI-POLRI power","authors":"B. Yulianto, I. G. Sudjatmiko, A. Octavian, I. Putra","doi":"10.5267/j.dsl.2022.6.004","DOIUrl":null,"url":null,"abstract":"This study analyzes the vulnerability of the power relations between the Indonesian National Armed Forces and the Indonesian National Police (TNI-Polri power relations) post-1998 Reform. This article employed exploratory sequential mixed methods in answering the research problem. Analytical Hierarchy Process (AHP) and System Dynamics methods were utilized in the study. Based on the research results, the variables of Socio-Economic (SE) Vulnerability and Adaptive Capacity (AC) have the highest weight value of 0.329. Meanwhile, the variable of Institutional Vulnerability has the lowest weight, 0.142. Overall, the vulnerability value of TNI-Polri power relations post-1998 Reform was still in the Low Vulnerability category with a value of 1,699 (33.97%). The vulnerability value of TNI-Polri power relations in the next five years will increase from a score of 1.66 in 2022 to 1.74 in 2027 so that it will increase by 5% with the same category level, namely Low Vulnerability. This study is expected to strengthen TNI-Polri power relations in maintaining national political stability.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":"86 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Science Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5267/j.dsl.2022.6.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

This study analyzes the vulnerability of the power relations between the Indonesian National Armed Forces and the Indonesian National Police (TNI-Polri power relations) post-1998 Reform. This article employed exploratory sequential mixed methods in answering the research problem. Analytical Hierarchy Process (AHP) and System Dynamics methods were utilized in the study. Based on the research results, the variables of Socio-Economic (SE) Vulnerability and Adaptive Capacity (AC) have the highest weight value of 0.329. Meanwhile, the variable of Institutional Vulnerability has the lowest weight, 0.142. Overall, the vulnerability value of TNI-Polri power relations post-1998 Reform was still in the Low Vulnerability category with a value of 1,699 (33.97%). The vulnerability value of TNI-Polri power relations in the next five years will increase from a score of 1.66 in 2022 to 1.74 in 2027 so that it will increase by 5% with the same category level, namely Low Vulnerability. This study is expected to strengthen TNI-Polri power relations in maintaining national political stability.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
TNI-POLRI电力脆弱性分析的多准则决策与系统动力学混合方法
本研究分析1998年改革后印尼国家武装部队与印尼国家警察权力关系(TNI-Polri权力关系)的脆弱性。本文采用探索性顺序混合方法来回答研究问题。采用层次分析法(AHP)和系统动力学方法进行研究。从研究结果来看,社会经济脆弱性(SE)和适应能力(AC)的权重值最高,为0.329。制度脆弱性变量的权重最低,为0.142。总体而言,1998年改革后的政法权力关系脆弱性值仍处于低脆弱性类别,为1699(33.97%)。未来五年,TNI-Polri权力关系的脆弱性值将从2022年的1.66分增加到2027年的1.74分,即在相同的类别水平下,脆弱性将增加5%,即Low vulnerability。本研究可望在维护国家政治稳定中,强化TNI-Polri权力关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
期刊最新文献
Time series prediction of novel coronavirus COVID-19 data in west Java using Gaussian processes and least median squared linear regression Determinants of woodcraft family business success Analytical evaluation of big data applications in E-commerce: A mixed method approach A two-stage SEM-artificial neural network analysis of the organizational effects of Internet of things adoption in auditing firms A novel crossover operator for genetic algorithm: Stas crossover
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1