Problem Processing System Research Articles

Sistem Pendukung Keputusan Pemilihan Kepala Cabang SCO di JNE Menerapkan Kombinasi Metode Dematel dan Aras

The head of the SCO (Sales Counter Officer) branch is a person who has good experience, knowledge and skills to lead and process finances every day who offer products available from the goods delivery service at the JNE Ekpress company. The SCO branch head also plays a role in organizing and coordinating SCO workers on duty, starting from arranging shifts, taking work records, and minimizing losses caused by SCO input errors. Decision Support Systems are computer-based systems consisting of several components, namely language system components, knowledge system components and problem processing system components, which are interconnected with each other in making a decision. through the use of data and decision models in order to solve a problem. DEMATEL (Decision Making Trial And Evaluation Laboratory) aims to find direct (dependency) in a variable system. The Additive Ratio Assessment (ARAS) method is a method used for ranking criteria. In carrying out the ranking process, this method is very suitable for use in selecting candidates for SCO branch heads. Where the highest value is the best value of the final result. Based on the test results, it is known that Rahmad is a candidate who meets the criteria to become the new SCO branch head with a score of 0.957972 or 96%.

Sistem Pendukung Keputusan Pemilihan JSK di Ramayana Menerapkan Metode DEMATEL dan ARAS

JSK(Junior Supervisor cashier) is a person who has good experience, knowledge and skills to lead and manage finances every day. JSK also plays a role in regulating and coordinating cashiers on duty, starting from managing shifts, taking capital, and minimizing losses caused by cashiers. Decision Support System is a computer-based system consisting of several components, namely language system components, knowledge system components, and problem processing system components that are interrelated with one another, in making decisions through the use of data. -data and decision models in order to solve a problem. DEMATEL (Decision Making Trial And Evaluation Laboratory) aims to find direct (dependency) in a system of variables. The Additive Ratio Assessment (ARAS) method is a method used for ranking criteria, in carrying out the ranking process, the ARAS method has several steps that must be done to calculate and this method is very suitable for use in the selection of JSK candidates where the highest value is the best value of the final result

SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN KELUARGA HARAPAN KHUSUS LANSIA DENGAN MENERAPKAN VIKOR (STUDI KASUS: DESA PATUMBAK II)

The development of Indonesia's population at this time is very rapid so that Indonesia has many problems including poverty problems that occur in the midst of society. In dealing with these problems the government has a program with a form of social assistance known today as the Elderly Family Hope Program (PKH). In accordance with the Decree of the Director General of Social Protection and Security Number 26 / LJS / 12/2016 in terms of social assistance the Recipients are those that have been determined by the Director General of Social Family. As well as in the Distribution this assistance is distributed in four stages one Year. Decision Support System is a computer-based system consisting of several components, namely language system components, system components of knowledge, and problem processing system components that are interrelated with one another, in making decisions through the use of data. data and decision models in order to solve a problem. The VIKOR method where this method focuses on ranking and chooses from an alternative set and determines the solution to the problem of criteria that are constrained and can result in decision making as a final decision and the best ranking method is the lowest resultKeywords: Decision Support System, Vikor, Recipient of Family Hope Assistance

Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat (Jamkesmas) Menerapkan Metode MOORA

Decision support system as a computer-based system consisting of components, among other components of the language system (language), components of knowledge systems (knowledge) and components of the problem processing system (problem processing) which interact with each other, which helps decision making through the use of data and decision models to solve problems that are semi-structured and unstructured. This study uses the MOORA Method in determining who is entitled to become participants Jamkesmas based on criteria by using a formula that results more accurate and targeted.

The Negotiation Support System for High-Tech Virtual Enterprise

To solve the cooperation-conflict negotiation problems among the members of High-tech Virtual Enterprise (HTVE), High-tech Virtual Enterprise Negotiation Support System (HTVE-NSS) based on RIA architecture is put forward. According to the operation characteristics of High-tech Virtual Enterprise, in this system, the structure of High-tech Virtual Enterprise Negotiation Support System is designed, which consists of the problem processing system, the model base system and remote conference system. And HTVE-NSS adopts artificial intelligence technology to design problem processing system (PPS), and uses UML-Petri net to describe the process of model. The architecture of Negotiation Conference System based on Flex and RIA is designed and Red5 Streaming media server is introduced to support conference interaction, which effectively supports the way to solve the conflict between High-Tech Virtual Enterprises by negotiating.

Knowledge representation for problem processing in a decision support system

This paper examines the position and function of a “problem processing system” (PPS) in the context of a decision support system (DSS), and proposes a relatively complete framework for such a problem processing system. Using the concept of a “problem processing mode”, the paper introduces further research into the so-called “representation of procedural knowledge”, and presents a generalized structure for PPSs. This structure has been used in specific problem processing in a production-planning context.

A strategy for determining the optimal domain for knowledge based decision support systems

The objective of a knowledge based decision support system (KBDSS)_is to enhance the ability of decision makers to respond to opportunities/problems. The set of tasks for which the KBDSS can provide some assistance is called the domain of the KBDSS. The set of tools and rules which the KBDSS uses to help with those tasks is called the problem processing system (PPS) of the KBDSS. This paper presents a procedure for determining the optimal domain-PPS combination for a KBDSS. A specific application is provided to illustrate why the procedure is needed and how it works.

A fuzzy multiobjective programming algorithm in decision support systems

Multicriteria analysis is one of the analytical functions in the problem processing system of decision support systems (DSS). In this paper, an interactive and iterative fuzzy programming method for solving a quasi-optimization problem in complex decisions under constraints involving a multiple objective function is proposed. Comparing with an adapted gradient search method, a surrogate worth tradeoff method, and a Zionts—Wallenius method, an approximate preference structure is emphasized in the proposed method.

Conflicting experiences with DSS

The concept of DSS is clearly attracting a lot of interest. Although this should be welcomed, it does not signify that the concept is well-defined and well-established. Above, we may observe that empirical evidence on the effectiveness of DSS is not overwhelmingly positive, and is often conflicting. Many DSS focus on problem-solving, not on problem-identification. Many DSS are constructed around aggregated data, separated from primary, transaction processing data. However, it is shown in several studies that use of this type of data may be dangerous for decision-making. With regard to the model component of many decision-making. With regard to the model component ‘equation’ type. These models are only applicable under the assumption that the equations can be filled in and that they give a valid description of reality. This assumption seems to hold only in a very few case. A way out can be found in the application of models of the discrete event or ‘process’ type. A frequently encountered approach for the development of DSS is an evolutionary, step-wise one. However, such an approach is not necessarily converging. Especially personalized DSS demand a strong project management to avoid a chaos of hardware, software, personal files and models. Decentralization of decision-making and computing does not guarantee a better co-ordination of the workstations of individual information workers. We propose to use the concept DSS in a more narrow sense of an environment to support decision making, encompassing a language system, a knowledge system and a problem processing system. The language system is based on an object-oriented representation form. The problem processing system and the knowledge system bear heavily on the process type system specification.

Conceptual design of decision support systems utilizing management science models

A conceptual design for decision support systems (DSS) employing management science models is presented. The motivations for the research include a marked increase in the use of management science models in recent years and the limited success achieved to date in providing user-friendly model access to the decisionmaker, a capability which is essential to the basic notion of a decision support system. The design presented supports a “model management” approach to the problem, which is contrasted with the more common and traditional “meta-language” approach. Relevant software systems in the DSS include three physically and logically independent systems for data-base management, model-base management, and dialogue management, as well as a fourth coordinating entity, the problem processing system. Included are descriptions of the component parts that comprise the DSS conceptual model, discussions of associated personnel roles, operational considerations related to impiementability, and an illustrative example application.

Foundations of Decision Support Systems

The next section surveys some typical systems that have been developed to aid decision makers: from these a classification of decision support systems (DSS) is developed. The systems studied include a project management (PERT) package, a statistical package and a corporate planning system. The authors introduce three aspects for study in a DSS:a knowledge system, a language system and a problem processing system.

A Generalized Decision Support System Using Predicate Calculus and Network Data Base Management

In view of the growing prominence of corporate modeling, an important area of research concerns techniques for facilitating the design and utilization of models. In this paper we show how first-order predicate calculus can be used as a language for formally stating modeling knowledge. Furthermore, knowledge stated in this manner can be subjected to the resolution principle. The result is that application specific modeling knowledge need not be embedded in a computer program. Rather, it can be stored in a data base and utilized as needed by a problem processing system employing resolution techniques. Advantages of a decision support system taking an approach of this sort are considerable modeling flexibility, capacity for automating the model formulation and execution processes, and compatibility with a high-level user interface language.

FUTURE DIRECTIONS FOR DEVELOPING DECISION SUPPORT SYSTEMS*

AbstractA formal, generic description of decision support systems is introduced. This description views a decision support system as having three principal components: a language system, a knowledge system, and a problem processing system. Several systems that fit the generic decision support system idea, but are (for the most part) not the customary kinds of systems encountered in business applications, are described. The concepts and techniques employed in these systems can make important contributions to the emergence of more powerful business‐oriented decision support systems.