scholarly journals Analisa Prioritas Faktor Kontinuitas Bisnis Industri Pelayaran Indonesia Menggunakan Analytic Network Process (ANP)

Rekayasa ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 104-111
Author(s):  
Ade Supandi ◽  
Arief Daryanto ◽  
Bunasor Sanim ◽  
Luky Adrianto
Keyword(s):  
Risk Management ◽  
Business Processes ◽  
Analytic Network Process ◽  
Business Continuity ◽  
Shipping Industry ◽  
Management Function ◽  
Sea Transportation ◽  
Network Process ◽  
Directorate General ◽  
Data Analytic

Kejadian ketidakamanan pelayaran di perairan Indonesia oleh Pembajakan dan Perampokan. Dalam insiden (2007-2018) di mana kerugian dilaporkan, kehilangan kargo adalah yang paling umum (33%), diikuti oleh bagian-bagian mesin (15%) dan barang tidak aman (4%). Sementara dari 27 insiden yang dilaporkan pada 2018, tidak ada yang dicuri hanya dalam 10 insiden (37%). Kerugiannya tentu tidak kecil dan mengancam kelangsungan bisnis perusahaan. Penelitian ini dilakukan dari Juni 2018 hingga Desember 2018. Penelitian dilakukan pada perusahaan pelayaran di Jakarta, badan keamanan laut, Direktorat Jenderal Perhubungan Laut dan TNI AL. Data dan fakta dikumpulkan dengan menggunakan kuesioner dan diuji dengan teknik analisis data Analytic Network Process (ANP). Hasilnya sebagai berikut: Fungsi Manajemen Risiko dengan prioritas 0,39092 adalah kriteria dengan prioritas tertinggi. Kemudian berturut-turut mempertahankan proses bisnis dengan prioritas 0,27899, Dokumentasi 0,18325 dan Pengawasan Manajemen dengan prioritas 0,14684. Dari hasil tersebut, kami dapat merekomendasikan bahwa faktor yang paling penting untuk kelangsungan bisnis industri pelayaran adalah Fungsi Manajemen Risiko.Priority Analysis of Indonesia's Delivery Industry Continuity Factors Using Analytic Network Process (ANP)ABSTRACTThe incidence of shipping insecurity in Indonesian waters by piracy and robbery. In incidents (2007-2018) where losses were reported, cargo loss was the most common (33%), followed by engine parts (15%) and unsafe goods (4%). While of the 27 incidents reported in 2018, none were stolen in only 10 incidents (37%). The loss is certainly not small and threatens the company's business continuity. This research was conducted from June 2018 to December 2018. The research was conducted on shipping companies in Jakarta, marine security agencies, the Directorate General of Sea Transportation and the Indonesian Navy. Data and facts were collected using a questionnaire and tested with the Analytic Network Process (ANP) data analysis techniques. The results are as follows: The Risk Management function with a priority of 0.39092 is the criteria with the highest priority. Then maintain business processes with priority 0.27899, Documentation 0.18325 and Management Supervision with priority 0.14684. From these results, we can recommend that the most important factor for the continuity of the shipping industry business is the Risk Management Function.Keywords: Shipping Industry, Business Continuity, Analytic Network Process

scholarly journals A Fuzzy-Based Decision Support Model for Risk Maturity Evaluation of Construction Organizations

Algorithms ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 115
Author(s):  
Mohammadjavad Arabpour Roghabadi ◽  
Osama Moselhi
Keyword(s):  
Risk Management ◽  
Model Development ◽  
Analytic Network Process ◽  
Maturity Model ◽  
Decision Support Model ◽  
Construction Organizations ◽  
Management Processes ◽  
Network Process ◽  
Risk Maturity ◽  
Maturity Evaluation

Risk maturity evaluation is an efficient tool which can assist construction organizations in the identification of their strengths and weaknesses in risk management processes and in taking necessary actions for the improvement of these processes. The accuracy of its results relies heavily on the quality of responses provided by participants specialized in these processes across the organization. Risk maturity models reported in the literature gave equal importance to participants’ responses during the model development, neglecting their level of authority in the organization as well as their level of expertise in risk management processes. Unlike the existing models, this paper presents a new risk maturity model that considers the relative importance of the responses provided by the participants in the model development. It considered their authority in the organization and their level of involvement in the risk management processes for calculating the relative weights associated with the risk maturity attributes. It employed an analytic network process (ANP) to model the interdependencies among the risk maturity attributes and utilizes the fuzzy set theory to incorporate the uncertainty associated with the ambiguity of the responses used in the model development. The developed model allows the construction organizations to have a more accurate and realistic view of their current performance in risk management processes. The application of the developed model was investigated by measuring the risk maturity level of an industrial partner working on civil infrastructure projects in Canada.

scholarly journals A NEW HYBRID FUZZY CYBERNETIC ANALYTIC NETWORK PROCESS MODEL TO IDENTIFY SHARED RISKS IN PPP PROJECTS

2016 ◽  
Vol 20 (4) ◽  
pp. 409-426 ◽  
Author(s):  
Alireza VALIPOUR ◽  
Nordin YAHAYA ◽  
Norhazilan MD NOOR ◽  
Abbas MARDANI ◽  
Jurgita ANTUCHEVIČIENĖ
Keyword(s):  
Risk Management ◽  
Process Model ◽  
Expert Knowledge ◽  
Analytic Network Process ◽  
Risk Allocation ◽  
Public And Private ◽  
Complex Process ◽  
Allocation Criteria ◽  
Network Process ◽  
Public And Private Sector

A proper risk management strategy is essential in property management. For controlling and reducing risks on Public-Private Partnership (PPP) project, risk allocation is a major component of PPP risk management. Identifying appropriate shared risks and optimal risk allocation in a structured way is a complex process. The aim of this study is to develop a quantitative approach for equitable risk allocation with attention to identifying dependencies between risk allocation criteria and barriers. The paper presents an approach in the form of a hybrid Fuzzy method and Cybernetic Analytic Network Process (CANP) model for identifying shared risks. The approach involves the use of Fuzzy sets to convert linguistic principles and experiential expert knowledge into systematic quantitative analysis and the CANP to solve the problem of dependency and feedback between criteria and barriers as well as selection of shared risks. A case study is presented to demonstrate the use of the model in selecting shared risks. The study involves development of 10 criteria and 8 barriers. Finally, of 40 significant risks, 14 risks are successfully allocated between the public and private sector in Iranian PPP projects.

scholarly journals Analisis Manajemen Risiko Startup pada Masa Pandemi COVID-19 Menggunakan COBIT® 2019

2021 ◽  
Vol 8 (3) ◽  
pp. 635
Author(s):  
Dio Febrilian Tanjung ◽  
Aulia Oktaviana ◽  
Aris Puji Widodo
Keyword(s):  
Information Technology ◽  
Risk Management ◽  
Qualitative Method ◽  
Business Processes ◽  
Business Continuity ◽  
Business Success ◽  
It Risk Management ◽  
Corporate Business ◽  
A Company ◽  
It Risk

<p>Perkembangan <em>startup </em>berbasis teknologi informasi (TI) semakin meningkat dewasa ini. Sebagai penunjang keberhasilan bisnis perusahaan, TI memiliki risiko yang timbul di berbagai keadaan terutama di era pandemi COVID-19. Salah satu alternatif yang dapat dimanfaatkan untuk mengelola dan menjamin usaha yang lebih kondusif dan kredibel yaitu manajemen risiko yang tepat. Hal ini karena manejemen risiko menjadi hal yang penting pada bisnis dalam meningkatkan keuntungan dan mempertahankan kontinuitas bisnis, terutama dalam kondisi pandemi COVID-19. Pembahasan manajemen risiko TI secara umum sudah cukup banyak, namun penelitian manajemen risiko dalam menghadapi masa pandemi perlu dipertimbangkan. Hal ini dikarenakan pada masa pandemi ini, TI menjadi salah satu kunci agar bisnis dapat bertahan dan memenangkan kompetisi. Selain itu, pandemi COVID-19 termasuk dalam kasus luar biasa yang belum pernah terjadi dalam kurun waktu ratusan tahun, sehingga secara teknis risiko dari pandemi ini termasuk dalam risiko yang tidak terpikirkan sebelumnya oleh perusahaan. Tujuan penelitian ini untuk mengidentifikasi kondisi implementasi manajamen dan ancaman risiko terhadap proses bisnis pada sebuah perusahaan <em>startup </em>terutama di masa pandemi. Penelitian ini menggunakan metode kualitatif dengan mengacu pada COBIT® 2019 fokus domain DSS04 <em>Manage Continuity </em>dengan melakukan observasi awal terhadap kondisi perusahaan dan wawancara terhadap pemangku kepentingan perusahaan. Hasil penelitian menunjukkan bahwa perusahaan telah melakukan penyesuaian terhadap kebutuhan bisnis selama masa pandemi COVID-19 untuk memastikan keberlangsungan bisnis. Namun dalam pelaksanaannya belum ada pengukuran <em>risk management</em> untuk mengontrol apakah manajemen risiko yang dijalankan sudah tepat, sehingga diperlukan penerapan COBIT® 2019 dalam tata kelola bisnis perusahaan.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>The development of information technology (IT) based startups is increasing nowadays. To support the company's business success, IT has risks arising from various circumstances, especially in the era of the COVID-19 pandemic. One alternative that can be used to manage and ensure a conducive and credible business is proper risk management. This is because risk management is important for businesses in increasing profits and maintaining business continuity, especially in the conditions of the COVID-19 pandemic. There is a lot of discussion about IT risk management in general, but research on risk management in dealing with the pandemic needs to be considered. This is because during this pandemic, IT is one of the keys for businesses to survive and win the competition. In addition, the COVID-19 pandemic is included in an extraordinary case that has not occurred in hundreds of years, so that technically the risks from this pandemic are included in risks that were not thought of before by the company. The purpose of this study is to identify the conditions of management implementation and risk threats to business processes at a company startup, especially during the pandemic. This study uses a qualitative method with reference to COBIT® 2019 focused on the DSS04 Manage Continuity domain by conducting initial observations of the company's condition and interviews with company stakeholders. The results show that the company has made adjustments to business needs during the COVID-19 pandemic to ensure business continuity. However, in practice there is no risk management measurement to control whether the risk management is carried out properly, so it is necessary to implement COBIT® 2019 in corporate business governance.</em></p><p><em><strong><br /></strong></em></p>

Quantification of Corporate Performance Using Fuzzy Analytic Network Process

2014 ◽  
pp. 385-413
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Business Processes ◽  
Measurement Model ◽  
Analytic Network Process ◽  
Future Performance ◽  
Proposed Model ◽  
Network Process ◽  
Multi Attribute Decision Making ◽  
Definition Of

Performance Measurement (PM) is a combination of a company’s characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.

Identifying and Analyzing Risks and Responses for Risk Management in Information Technology Outsourcing Projects Under Fuzzy Environment

2014 ◽  
Vol 13 (06) ◽  
pp. 1283-1323 ◽  
Author(s):  
Homa Samadi ◽  
Salman Nazari-Shirkouhi ◽  
Abbas Keramati
Keyword(s):  
Risk Factors ◽  
Information Technology ◽  
Risk Management ◽  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Point Of View ◽  
Project Risk ◽  
Best Response ◽  
Network Process ◽  
Information Technology Outsourcing

Due to ever-increasing trend in outsourcing information technology projects in today's competitive world, the risk management in information technology outsourcing (ITO) projects is a challenging issue. Hence, this paper reviews and extracts present corresponding risks by literature review to implement risk management in ITO. After reviewing a number of frameworks in the literatures related to prioritizing of extracted risk factors, a new framework is presented to determine the priority of them. Because of network structure of the proposed framework and multi-dimensional nature of the project risk, the fuzzy analytic network process (fuzzy ANP) is applied to prioritize risk factors. Also, since identifying and prioritizing of risk factors cannot necessarily meet the organization's needs related to the project risk, the ways to respond to these factors are evaluated. For this purpose, responses to the five highest ranked risk factors are considered. Prioritization of responses to these risk factors is done by applying fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) based on four criteria: quality, cost, time, and scope. Results, achieved from experts' judgment, show that the risk factor "Supplier's lack of expertise with an IT operation" is the most significant. Also, the best response for this factor, is "Review of monetary value and volume of suppliers' contracts prior to their selection" according to experts' point of view. In addition, a sensitivity analysis is carried out for validating the results.

Quantification of Corporate Performance Using Fuzzy Analytic Network Process

2017 ◽  
pp. 606-637 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Business Processes ◽  
Measurement Model ◽  
Analytic Network Process ◽  
Future Performance ◽  
Proposed Model ◽  
Network Process ◽  
Multi Attribute Decision Making ◽  
Definition Of

Performance Measurement (PM) is a combination of a company's characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.

scholarly journals Evaluasi Kinerja Organisasi Publik Dengan Menggunakan Pendekatan Balanced Scorecard dan Analytic Network Process

2016 ◽  
Vol 6 (2) ◽  
pp. 124
Author(s):  
Adi Mora Tunggul ◽  
Rizal Isnanto ◽  
Oky Dwi Nurhayati
Keyword(s):  
Performance Evaluation ◽  
Balanced Scorecard ◽  
Business Processes ◽  
Performance Metrics ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Public Organizations ◽  
Analytical Network Process ◽  
The Balanced Scorecard ◽  
Network Process

Balanced scorecard is a strategic business management method that links performance evaluation to vision and strategies using a multidimensional set of financial and nonfinancial performance metrics. This study examined both quantitative data for the proposed Analytic Network Process method. The purpose of this research is to build a model that combines the Balanced Scorecard approach and Analytical Network Process to assist in the performance evaluation of public organizations tax services. Balanced Scorecard concept is applied to determine the hierarchy of the financial perspective, customer perspective, internal business processes, and learning and growth perspective as well as their respective performance indicators of public organizations and then Analytical Network Process used to tolerate vagueness and ambiguity of information and built an information system that is applied to facilitate the performance evaluation process. The study provides recommendations to the management of public organizations regarding the tax service strategy to improve the performance of public organizations.

Analytic Network Process Approach to Risk Allocation of EPC Projects Case Study: Gas Refinery EPC Projects in Iran

2014 ◽  
Vol 567 ◽  
pp. 654-659
Author(s):  
Alireza Valipour ◽  
Hadi Sarvari ◽  
Yahaya Nordin ◽  
Md Noor Norhazilan ◽  
Seyed Meysam Khoshnava
Keyword(s):  
Risk Management ◽  
Significant Variation ◽  
Construction Projects ◽  
Analytic Network Process ◽  
Process Approach ◽  
Risk Allocation ◽  
Allocation Criteria ◽  
Network Process ◽  
Gas Refinery

Risk allocation is the most significant factor in risk management. Earlier research has shown that risk allocation is essential to achieve success in construction projects. Risk allocation may fail to be achieved due to lack of a mechanism for joint risk management. Successful optimal risk allocation requires one to identify and evaluate the risk allocation criteria, which interact and overlap with each other and can lead to significant variation in the decision outcome in risk allocation. This study aims to allocate the risks in EPC projects using the analytic network process (ANP) method. The ANP approach is preferable in identifying the problems of interdependence and feedback among various criteria factors. The method utilizes data that are collected through a literature review, interviews, and a questionnaire distributed to EPC project experts. The results have shown that 12 risks are allocated to the developer, 9 risks are shared between developer and contractor, and 12 risks are allocated to the contractor. In conclusion, ANP is found to be suitable in analyzing the feedback and interdependencies among risk allocation criteria.

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