scholarly journals SELECTION OF KOARMADA III PATROLING SHIP IN NORTH MALUKU SEA USING ANALYTIC NETWORK PROCESS METHOD

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 151
Author(s):  
Supartono Supartono ◽  
Joko Purnomo ◽  
Bambang Ispri Bandono ◽  
Habiby Achmad

The geographical location of the North Maluku region and the extent of the sea that is difficult to reach by thesecurity forces to cause this area prone to illegal fishing, illegal loging, illegal entry, smuggling guns and liquor.The water traffic situation in this region is also very dense, almost every time we can see the ship that passesthrough this line especially in ALKI III, both merchant ships, passenger vessels, and vessels Fishermen can alsobe encountered there. This is what led to the province of North Maluku to be very vulnerable and provideopportunities to be utilized by people and other criminal acts to commit abuses in the North Maluku waters. Tomaximize marine security operations in North Maluku, the TNI AL at the Koarmada operations staff need tothink about and perform a mature calculation in the selection of patrol boats. This research uses the method ofAnalytic Network Process (ANP) because ANP is one method that can represent the level of interests of variousparties by considering the interconnectedness between criteria and sub-criteria that exist. The assignment ofpatrol vessels has three criteria, namely tactical, technical and economic. Processing of this selection data usingSuper decision software for ANP calculation. The results showed that the highest priority was KRI Tatihu-853 of0.851923, then the second priority for KRI Albakora-857 of 0.089943, then the third priority for KRI Madidihang-855 of 0.020778, then the fourth priority for KRI Layaran-854 by 0.016319, then fifth priority for KRI Sura-802 of0.010707, and the last sixth priority is KRI Kerapu-812 for 0.010329.Keywords: Maluku Utara, Ship Selection, ANP.

2020 ◽  
Vol 7 (3) ◽  
pp. 460
Author(s):  
Noven Lukito Hadi Saputro ◽  
Raditya Sukmana

There are various methods in which zakat management organizations carry out fundraising activities. The most common methods are direct and indirect fundraising. This study aims to select the most dominant fundraising activities for zakat management organizations in East Java. This study uses a qualitative approach with the Analytic Network Process method. This study uses the BOCR model (Benefit, Opportunity, Cost, Risk). The results of this study found that the most dominant alternative in East Java is Direct Fundraising, with a priority value of 37.90% (W = significant). Then, the second alternative is digital fundraising (25.11%, W = significant) and the third alternative is indirect fundraising (17.12%, W = significant).Keywords: Fundraising Activities, Zakat Management Organizations, Analytic Network Process


2018 ◽  
Vol 10 (9) ◽  
pp. 23-31 ◽  
Author(s):  
Noor Alam Hadiwijaya ◽  
◽  
Hamdani Hamdani ◽  
Andri Syafrianto ◽  
Zaidir Tanjung

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.


2021 ◽  
Vol 14 (2) ◽  
pp. 62-70
Author(s):  
Huda Yaseen ◽  
Hafeth I. Naji

Construction projects are of a special nature affected by many factors, which makes them exposed to multiple risks that may lead to the abandonment of projects. Recently, the Iraqi construction sector is facing a number of problems. Abandoned construction projects are one of the most common and dangerous problems in the construction industry in Iraq, with their negative effects on stakeholders, the economy, and the environment due to the lack of sufficient financial and administrative capabilities to complete construction projects, which is reflected in exceeding the time limit for the completion of projects. The aim of this research is to use the analytic network process (ANP) technique to choose the best form of Public-Private Partnership (PPP) contracts to fund abandoned projects in Iraq. using a questionnaire survey to determine the most criteria and alternatives for selecting appropriate financing for the abandoned project. The results shown final weight of the Build-Own-Operate (BOO) contract from ANP is 0.533, which is the best form of PPP contract among the alternatives proposed to fund the project.


Author(s):  
Ayman M. Zakaria Eraqi ◽  
Usama Hamed Issa ◽  
Mary A. A. Elminiawy

Developing informal settlements has become an important issue for improving urban structures in developing countries. An Informal Settlements Development Fund (ISDF) was presented to Egypt for supporting urban, economic, social and environmental plans. Development plans do not clearly take into account population priorities or satisfaction criteria. Furthermore, evaluating several alternatives was based on usual statistical methods that cannot deal with multiple criteria or complex problems, leading to imprecise results. Nowadays, adding value to the developed area, restoring cost, and studying social and economic plan impacts on the population, represent high priorities. In this study, a model concerns the optimal decision evaluation for multi-criteria in informal settlements development was proposed. Five clusters (criteria) were identified and included the efficiencies of urban structure, economic, social, and environmental, in addition to population satisfaction. Twenty one internal factors represented in nods were categorized under the five clusters and affecting proposed four alternatives. The model depended on the Analytic Network Process (ANP) technique which is used to support multi-criteria decision making. ANP was selected for its capability to deal with complex problems, create dependencies and feedbacks as well as use the relative weights of all interactions. This technique confirms a logical decision and accurate prediction amongst numerous alternatives. The model was validated and applied to an informal settlements area as a case study in Egypt. The results supported to use first alternative by 38.20%, while the ISDF results selected the third alternative. Moreover, the detailed analysis emphasized that the first alternative was more balanced between the social elements and the direct economic requirements of the population, while the third alternative tended to achieve restoring cost despite its negative social effects. Lastly, the proposed model can be used appropriately in similar cases to improve informal settlements.


2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.


2020 ◽  
Vol 12 ◽  
pp. 184797901989931 ◽  
Author(s):  
Soontorn Lancharoen ◽  
Poonpong Suksawang ◽  
Thanakorn Naenna

This study contributes to the promotion of healthcare information integration and readiness assessment of the factors impacted by quality improvement in hospital performance, which is beneficial for developing the healthcare industry because errors or integrated information can significantly affect the safety of patients and their confidence in the healthcare system. This research method is proposed to identify and confirm capability factors after readiness assessment with empirical testing, and the data were collected from hospitals in Thailand. An analytic network process was used as a tool for calculating and testing the readiness assessment of the integrated information results. The results show factor improvement of information integration and effects on the performance of hospitals in the healthcare industry. Three capability factors were found to have a significant impact on information integration and hospital performance. The model analysis suggests that the identified capability factors (organizational, group and individual) should be improved with regard to information integration, which is used to evaluate performance in the healthcare industry, and this risk assessment may be useful in other relevant industries.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.


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