Criterium Decision Plus Research Articles

A Novel CSAHP Approach to Assess the Priority of Maintenance Work Outsourced by a Metro Company

To lower maintenance costs and improve a metro company’s competitiveness, this research came up with an innovative technique using a considering sensitivity and analytic hierarchy process (CSAHP). Along with interviews with managers and workers at the Taipei Rapid Transit Corporation, this study was able to undertake quantitative analysis. To determine which subsystems and metro lines should be prioritized for outsourcing based on the CSAHP framework, we used the criterium decision plus (CDP) program. This research adds to the existing body of knowledge by advancing the existing analytic hierarchy process (AHP) technique and recommending the CSAHP strategy for assessment. According to the findings, the power supply system was the most in need of outsourcing, followed by air conditioning, firefighting, and elevator systems. When considering which of the four metro lines to outsource first, the blue line came out on top, followed by the red, green, and brown lines. By prioritizing the outsourcing of the power supply system as a result of this research, the Taipei Rapid Transit Corporation may cut the system’s maintenance expenditures from USD 1.57 million to USD 1.33 million, saving 15% on maintenance costs. Applying these findings can improve the economic benefits of outsourced maintenance for the Taipei Rapid Transit Corporation.

Penataan Ruang Provinsi Dki Jakarta Ditinjau Dari Aspek Keamanan, Kenyamanan, Produktif, Dan Berkelanjutan

DKI Jakarta is the capital of the country which is an example for cities in big cities in Indonesia. Various factors in accordance with the Law No.26 of 2007 Article 3 governance to implement the national territory that is safe, comfortable, productive and sustainable. The research method used for AHP (Analytic Hirarchy Process) process with Expert Choice and AHP (Analitic Hirarchy Process) with CDP (Criterium Decision Plus). In this study, AHPIC to determine the value of each factor affecting the spatial DKI Jakarta with modeling structure. The criteria are determined by three aspects, ecological aspects and social aspects. While the subcriteria can be seen in each criterion. There are three alternatives, namely MRT (Mass Rapid Transit), flood handling with BKB (West Canal Flood) and BKT (East Canal Flood), and Eco-city. In line with AHP, look for influencing aspects in spatial planning, namely the ecological aspect of 0.540. This is the most important aspect to realize a sustainable spatial, followed by economic aspects with quality improvement for aspects. Arranging good governance in this case good governance is also needed for the creation of progress and welfare of society.

Multi-criteria decision model for assessing groundwater pollution risk in the urban-rural interface of Mar del Plata City (Argentina).

In developing countries, conflict between the objectives of environmental policies and those focused on economic development, a low availability of human resources and infrastructure, and the lack of continuity and incentives, contribute to the inability to successfully implement environmental policies. Moreover, in these countries, population growth in the peri-urban areas has resulted in serious water pressures, poor water management, and severe non-point source pollution. The aim of this paper is to implement a procedure of aquifer pollution risk assessment for identifying priority areas in an urban-rural interface based on multi-criteria decision tools. In this sense, a multi-criteria decision model was designed, in terms of environmental and socio-economic criteria and sub-criteria relevant to water resource management, by using the software Criterium Decision Plus 4.0. This model was applied to the northwestern peri-urban area of Mar del Plata City, Argentina, which is embedded in the second most important fruit-horticultural belt of the country. Here, groundwater is the only source of water supply. The proposed decision model allowed establishing a ranking of priority areas for defining action guidelines in order to minimize the risk of pollution of the aquifer. Aquifer pollution hazard criterion mainly contributes to alternatives classified as very high priority whilst in the case of low and very low priority classes, social vulnerability criterion mostly influences the final results. The first alternatives will require an intervention in a short-term time horizon, and the last ones must be monitored in order to avoid their shift to a worse environmental condition.

Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services

This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (ZIF_VS) in Portugal, is used to test and demonstrate this potential. The landscape extends over 14,388 ha, representing 1976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple-criteria method within a web-based decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multicriteria decision analysis (MCDA) was performed with the Criterium DecisionPlus (CDP) component of the Ecosystem Management Decision Support (EMDS) system to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific stands were optimal for the unit. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated in order to rank several efficient solutions in a Pareto frontier and generate a consensual solution.

Aplikasi Sistem Pendukung Keputusan Guru Terbaik Berdasarkan Kinerja dengan Metode Analytical Hierarchy Process (AHP)

Abstract— Teacher is professional educator who have the duty, function, and important role in educating the nation. In order for the functions and duties inherent in the functional position of teacher conducted in accordance with the applicable rules, it is necessary to assess the performance of teacher who guarantee a quality learning process. Determine the performance of teacher can encourage an increase in the quality of education and increase motivation and professionalism of teacher in performing the tasks. The headmaster made 15 criteria to determine the best teacher, namely: attendance, discipline rules, responsibility and productivity, social interaction, motivation and self-development, innovative, responsive and initiative, flexibility in other tasks, communication, teamwork, honesty, friendly and polite, aesthetic dress, effective in using the gadget, cleanliness and tidiness class. To determine the performance of the teacher, then one decision that can be done using the Analytical Hierarchy Process (AHP). With the decision making is expected to choose an effective teacher performance. Determination of the teacher's performance is further processed by the criterium Decision Plus (CDP). The results of this study are the order of 4 of the best teachers at Yayasan Lentera Insan.

PENATAAN SISTEM DRAINASE DI PRONA 1 KELURAHAN PEMURUS BARU KOTA BANJARMASIN

Prona 1 is a residential area which consist of a series of traditional houses called “Rumah Panggung” in swamp area. Eventhough the houses have long and high form but in this swamp area flood and and puddle are happen a lot in Prona 1. This observation process initiated by spreading questionaire to find out about the people’s participation, identify and evaluate the current condition of drainage infrastructure in Prona 1, calculating how severe the damage in swamp area such as lot filling activity, lot hedging and blocking the water access toward water absorption under the high house (rumah panggung), based on those datas will be found out theswamp damage level and plan of drainage building in each sub system. After that we set the calculation of budget plan to build the drainage building. Next step is every variables on each sub system are being calculaterd by using AHP method with Criterium Decision Plus verse 3.0 to determine which sub system has highest priority to built its drainage system. The observation result shows that the participation of people in Prona 1 of drainage function and system is in quite high level. Prona 1 is lack of drainage building, most of it are water channel in various condition since there was no drainage system planning when the neighbourhood built. The damage level in swamp area like lot-filling can be considered as low, although there are many lot-filling, and most of them are for public facility. In the plan, it i needed to provide a channel in lot which have been hedged and blocked from water access and install the water channel in it. Sub system which its drainage system need to be built in prior is Sub System 3 next is SS2, SS5, SS1 and SS4.Keyword: drainage system, swamp area damage, rumah panggung

APLIKASI ANALITYCHAL HIERARCHY PROCESS (AHP) DALAM PENENTUAN ALTERNATIF PENGELOLAAN LINGKUNGAN INDUSTRI KOMPONEN ALAT BERAT BERBASIS PARTISIPASI DAN KEMITRAAN MASYARAKAT

As a company engaged in the industrial sector by producing certain components and localized in an industrial area, there will be an impact on the environment. These impacts can be positive in the form of employment, reducing dependence on imported heavy equipment, increase in foreign exchange due to reduced imports and increased exports, increased government revenue from taxes, public facilities improvement and supporting infrastructure, and opening up opportunities for other related industries. These impacts can also be negative in the form of environmental degradation such as noise disturbance, dust, and micro climate change, and changes in social and cultural conditions surrounding the industry. This research was conducted to support increasing effectiveness and efficiency of corporate management, by determining alternative forms of managing the heavy industrial equipment components environment (PLIKAB)-based on participation and society partnerships. The determination of alternative uses analytical hierarchy process (AHP) with the help of the Criterium Decision Plus v3.04 software. These results indicate that according of experts, the environmental management of industrial waste heavy equipment components must consider the technological aspects of its management. This can be seen from the weighting of each element that indicates the technology element has the greatest weight, which is 0.456. Besides that, elements of human resources is also quite important (weight 0.289) as the manager and the supporting policies (0.140) as a boost to management regulations. Aspect Capital (0.075) and marketing (0.042) is currently not perceived as barriers. While the most influential actor in the management is the company (0.451), other stakeholders have enough role is the community (0.234). Jababeka (0.211) and cooperative business (0.104) has a smaller role in the management. The purpose element in relative management has a weight that is relatively balanced with elements of revenue (0.336) is the primary consideration in determining management strategies, although it should not ignore the aim of maintaining environmental quality (0.299), the purpose of minimizing conflict (0.194), and the purpose of increasing competitiveness (0.170). The best alternative for the management of industrial waste components of the heavy equipment is to form managers based on partnerships by different stock ownership (0.791). It is considered much better than by forming managers based on partnerships by the same stock (0.209). Key words : heavy equipment industry, management, environment, analitycal hierarchy process (AHP)

Site Selection of Ecotourism Development

This paper discusses the application of Criterium Decision Plus program in decision making process for selection of ecotourism development area. The selection was build based on some variable collected from stakeholders which were constructed in hierarchy system and be evaluated by an expert to decide the potential location using pairwise comparison. The result showed that for ecotourism development, the significance factor is government policy; the importance actor is government; the importance goal is increasing income and priority location is coastal area. Keywords : Ecotourism, Decision Making

EMDS 3.0: A modeling framework for coping with complexity in environmental assessment and planning

The Ecosystem Management Decision Support (EMDS) system is an application framework for knowledge-based decision support of ecological assessments at any geographic scale. The system integrates state-of-the-art geographic information system (GIS) as well as knowledge-based reasoning and decision modeling technologies to provide decision support for a substantial portion of the adaptive management process of ecosystem management. EMDS 3.0 is implemented as an ArcMap® extension and integrates the logic engine of NetWeaver® to perform landscape evaluations, and the decision modeling engine of Criterium DecisionPlus® for evaluating management priorities. Key features of the system’s evaluation component include abilities to (1) reason about large, abstract, multi-faceted ecosystem management problems, (2) perform useful evaluations with incomplete information, (3) evaluate the influence of missing information, and (4) determine priorities for missing information. A key feature of the planning component is the ability to determine priorities for management activities, taking into account not only ecosystem condition, but also criteria that account for the feasibility and efficacy of potential management actions. Both components include powerful and intuitive diagnostic features that facilitate communicating the explanation of modeling results to a broad audience.