Interactive Computer-based System Research Articles

Analysis and Development of a Decision Support System for Selection of Prospective KIP Scholarship Recipients

Global Institute of Technology and Business Campus (Global Institute) is one of the campuses that organizes the KIP (Kartu Indonesia Pintar) scholarship program. This program aims to increase access to education for children from disadvantaged families and provide them with financial support. The research methods used are needs analysis, system design, and prototype implementation. This research collects data from various sources, including personal data of prospective scholarship recipients, academic data, family income data, and other relevant factors. The data collected is then analyzed using appropriate decision making methods, such as the Analytical Hierarchy Process (AHP) and TOPSIS methods. A Decision Support System is an interactive platform that helps make decisions efficiently and effectively in the process by presenting alternatives resulting from data processing, information, and the design of interactive computer-based models or systems. This platform provides support to decision makers in utilizing data and models to overcome unstructured problems.

SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN LOKASI PENDIRIAN HOTEL BARU BERBASIS ANALYTICAL HIERARCHY PROCESS (AHP) DI KABUPATEN KULON PROGO

Decision Support Systems or Decision Support Systems (DSS) are defined as interactive computer-based systems, which help decision makers to use data and models to solve unstructured problems. Decision Support Systems are interactive computer systems that can provide alternative solutions for decision makers, so decisions can be made more quickly and accurately.
 In an effort to speed up the decision-making process and avoid the subjectivity of the resulting decisions a decision support system is needed that aims to assist job management as decision makers in deciding the right location to establish new hotels through the selection process using the Analytical Hierarchy Process (AHP) model.
 This system is expected to assist management in comparing value criteria, applying pairwise comparison matrices to get the weight of each criterion both local and global criteria. The AHP method is chosen because this method can carry out multi-objective measurements and several criteria, according to the requirements in the decision for the establishment of new hotels that rely on criteria.

Mobile Devices and Sensors for an Educational Multimedia Opera Project.

Interactive computer-based music systems form a rich area for the exploration of collaborative systems where sensors play an active role and are important to the design process. The Soundcool system is a collaborative and educational system for sound and music creation as well as multimedia scenographic projects, allowing students to produce and modify sounds and images with sensors, smartphones and tablets in real time. As a real-time collaborative performance system, each performance is a unique creation. In a comprehensive educational project, Soundcool is used to extend the sounds of traditional orchestral instruments and opera singers with electronics. A multidisciplinary international team participates, resulting in different performances of the collaborative multimedia opera The Mother of Fishes in countries such as Spain, Romania, Mexico and the USA.

Rekomendasi Tempat Wisata Menggunakan Metode TOPSIS Pada Dinas Kebudayaan Dan Pariwisata Kota Gorontalo

Decision-making is experienced by the Tourism Office, which must make recommendations for tourist attractions in Gorontalo Province. Decision-making that combines quantitative and qualitative elements can be assisted by a decision support system (SPK). According to its understanding, SPK is an interactive computer-based system that helps decision-makers use data and various models to solve unstructured problems. This subjectivity usually occurs to reduce the complexity of the decision-making process due to many alternatives. If in the decision-making process for tourist attraction recommendations, users can be assisted by a computerized decision support system that provides desired recommendations for tourist attractions. To calculate the consideration of this tourist attraction in the decision support system can use the topsis method with criteria such as Tourist cost, Time of visit, Age, Type of attraction, Mileage, Facilities, Beauty, and Safety. The method used in this study is the TOPSIS Method because it is based on its concept that the best alternative has the shortest distance from the positive ideal solution and the longest distance from the Negative ideal solution.

Decision Making System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency

The Village Apparatus is one of the important parts in the framework of running the Village government as referred to in the Law of the Republic of Indonesia No. 6 of 2004. The appointment of Village apparatus is carried out by the Village Head as stated in the Law of the Republic of Indonesia Number 6 of 2014. The problem is that the selection of village apparatus is still done manually or has not been systemized and has the opportunity to cause errors in the selection of village apparatus. For this reason, it is necessary to have a system that can make it easier for village heads to find references for systematically selecting village officials. Decision Support System (DSS) is an interactive computer-based system, which helps decision makers utilize data and models to solve unstructured and semi-structured problems (Turban, Liang and Aronson, 2005). On this basis, researchers are interested in conducting research with the title "Decision Support System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency" with the calculation method that will be used is Simple Additive Weight (SAW). It is hoped that this system can help facilitate the Village Head in determining the best candidate for his Village Apparatus.

Sistem Pendukung Keputusan Penentuan Lokasi Toko Terbaik Pada PT. Sumber Alfaria Trijaya Menggunakan Metode Analytical Hierarchy Process

Decision Support System is an interactive computer-based system that helps decision making by utilizing data and models to solve unstructured problems. Basically, DSS is designed to support all stages of decision making, from identifying problems, selecting relevant data, determining the approach used in the decision-making process, to evaluating the selection. AHP is a decision support model developed by Thomas L. Saaty. This decision support model will describe complex multi-factor or multi-criteria problems into a hierarchy, the hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, followed by the level of factors, criteria, sub criteria, and so on down to the last level of alternatives. With a hierarchy, a complex problem can be broken down into groups which are then arranged into a hierarchical form so that the problem will appear more structured and systematic. In order to compete with several similar companies, PT. Sumber Alfaria Trijaya must be able to provide optimal service not only for consumers, but also for staff and employees in order to work optimally. To be able to answer these challenges, the technology used must be able to balance the need for it. Because this company is engaged in retail, problems will arise either in the store, in the warehouse or in the system used. With a hierarchy, a complex problem can be broken down into groups which are then arranged into a hierarchical form so that the problem will appear more structured and systematic.

Sistem Pendukung Keputusan Dalam Menentukan Kepala Bengkel Terbaik Menggunakan Metode AHP dan WSM

The selection of workshop heads requires an interactive computer-based system that helps decision makers to use data and various models in solving structured problems. One of the selections for the Head of the Workshop is the Decision Support System. Decision Support System is an interactive information system that provides information, modeling and manipulating data. There are many methods used in making decisions in every important data in the form of the number of units per year, the number of services per year, the number of sales of spare parts per year, years of service and discipline, one of which is the AHP and WSM method. AHP is a functional hierarchy with human perceptual input, WSM is a general model, it has been used for different applications such as robotics, processors, and others. The AHP method is used to find the criteria for selecting the best workshop head and the WSM method is used to find the final result of the selection of the workshop head. The results show that the best workshop heads will get rewards in the form of traveling abroad with their families. Thus, the results of the designed system will assist the Company in conducting the selection process for the best workshop heads. however, the calculation only produces the largest value which will be selected as the best alternative

SISTEM PENGAMBILAN KEPUTUSAN UNTUK REKOMENDASI PEMBELIAN PRODUK DENGAN MENGGUNAKAN METODE FUZZY MCDM (Studi Kasus PT. Nerangi Sarana Karya)

Decision support systems are interactive computer-based systems that help decision makers to use data and models to solve unstructured problems. Decision support systems (DSS) combine the intellectual resources of individuals with computer capabilities to improve decision quality.
 
 Nerangi Sarana Karya is a company engaged in the engineering sector, in its daily activities PT. Nerangi Sarana Karya carries out production activities, in support of production activities it requires a lot of tools in the form of tools, if these tools run out it will hamper production activities, the purchasing department is responsible if the tools run out, in this implementation the purchasing part is difficult determine the decision to purchase the product because the tools needed have a large number, different sizes and many more criteria.
 
 This system functions to recommend product purchases by analyzing or calculating several products with several criteria so that they can be ranked in order from top to bottom, the top one has the highest calculation that can be recommended..

Analisis Data Sistem Informasi Geografis Rumah Tidak Layak Huni (RTLH) Menggunakan Metode Fuzzy Logic

Houses and other types of housing are things that cannot be separated from the needs of human life. The house function as a place to refuge, a place to live, and to gather with family. Proper housing is the basic need of all people who will strengthen the family, as the main pillar of the nation's strength, at the same time acting as a bastion against various health risks. The properness of a house for family housing becomes the basis for the growth and development of a better family life. Roofs, floors, and walls (aladin) are indicator data of whether a house is proper or not at the time of the survey. An adaptive, flexible and interactive computer-based system is used to solve unstructured problems so the more valuable decisions can be produced. This study describes how to process data using fuzzy logic methods. The expected result is to support the decision whether or not a house is feasible are in accordance with the facts and location data in the field. To determine which housing are categorized as severely damaged, moderate and lightly damaged by using the fuzzy logica method with roof, floor and wall variables as input variables so that local governments will find it easier to sort work priorities in the short, medium and long term

Fuzzy Multiple Attribute Decision Making Approach for Determining The Best Vocational High School

Vocational High School has its charm for prospective students. Graduates have ready-to-work capability based on the skills needed in the workplace. Decision-Making System using Fuzzy Multiple Attribute Decision Making with Weighted Product method as the best SMK determinant method is an interactive computer-based system that can help decision-makers to find the best alternative based on predetermined criteria. In this case, the proposed alternative is to determine the best Vocational High School based on the criteria by finding the weight value for each attribute. The criteria needed in decision making are Facility, Accreditation, Quality, Student (Non-Academic Achievement), Cost, Human Resources Teacher.

Revolutionizing Education through Artificial Intelligence: Fuzzy Multiple Attribute Decision Making Approach for Determining the Best Vocational High School

Vocational High School has its own charm for prospective students. Graduates have ready-to-work capability based on the skills needed in the workplace. Decision Making System using Fuzzy Multiple Attribute Decision Making with Weighted Product method as the best vocational high school determinant method is an interactive computer-based system that can help decision makers to find the best alternative based on predetermined criteria. In this case the intended alternative is to determine the best vocational high school based on the criteria by finding the weight value for each attribute. The criteria needed in decision making namely facility, accreditation, quality, student (non-academic achievement), cost, human resources teacher.

RuleRS: a rule-based architecture for decision support systems

Decision-makers in governments, enterprises, businesses and agencies or individuals, typically, make decisions according to various regulations, guidelines and policies based on existing records stored in various databases, in particular, relational databases. To assist decision-makers, an expert system, encompasses interactive computer-based systems or subsystems to support the decision-making process. Typically, most expert systems are built on top of transaction systems, databases, and data models and restricted in decision-making to the analysis, processing and presenting data and information, and they do not provide support for the normative layer. This paper will provide a solution to one specific problem that arises from this situation, namely the lack of tool/mechanism to demonstrate how an expert system is well-suited for supporting decision-making activities drawn from existing records and relevant legal requirements aligned existing records stored in various databases.We present a Rule-based (pre and post) reporting systems (RuleRS) architecture, which is intended to integrate databases, in particular, relational databases, with a logic-based reasoner and rule engine to assist in decision-making or create reports according to legal norms. We argue that the resulting RuleRS provides an efficient and flexible solution to the problem at hand using defeasible inference. To this end, we have also conducted empirical evaluations of RuleRS performance.

SISTEM APLIKASI PENGELOLAHAN DATA KOMPLAIN UNTUK MENGUKUR KUALITAS KINERJA UNIT PDE BERBASIS WEB DI RSUD

Decision Support Systems (DSS) are interactive computer-based system, which helps decision-makers to use the data and models to solve unstructured problems. Decisions can be taken by right (time and objective) and can be accounted for if it is supported by a system without doing individual aspects of the decision itself as well as the context of the problems faced.Thus the authors will take advantage of the application system pengelolahan complaint of data to measure performance web-based EDI unit. This system which will bridge the gap between students and the concentration of the majors to be taken with the help of the head of the study program. Decision Support System for Determination of Concentration Programs are designed using the programming language PHP and Mysql data base. And system design using CMS as decision support in determining the concentration of the majors to be taken in studying at the Faculty of Economics, University of the Free Pasuruan. Students are no longer confused / scared wrong in taking decisions for determination majors is to be retrieved

The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

Computer Based E-Healthcare Clinical Systems

Over the years, interactive computer-based systems have provided crucial support to clinics, hospitals and other health-based centers. These systems have continued to influence the manner in which clinical tasks are organized and fulfilled in terms of performing tests, diagnosis procedures, treatment methods, as well as storing, analyzing and accessing patient and staff information. At the present time, the computer-based systems used in healthcare settings of high standards are the result of joint efforts of clinicians, software developers and clinical informaticians hence triggering the outcome of the desired system to outdo that of existing applications. Major concerns arise in designing clinical application including data privacy, minimal bias offered by a system (i.e. in terms of searching and decision-making), a user friendly GUI and an efficient integration of the new system with the existing standard applications at the health based setting being considered. In this paper, we provide a comprehensive survey on the existing research work on computer based E-Healthcare applications for clinicians highlighting both the challenges and benefits of such applications which would be of value to both patients and clinicians.

GIS Fuzzy Expert System for the assessment of ecosystems vulnerability to fire in managing Mediterranean natural protected areas

A significant threat to the natural and cultural heritage of Mediterranean natural protected areas (NPAs) is related to uncontrolled fires that can cause potential damages related to the loss or a reduction of ecosystems. The assessment and mapping of the vulnerability to fire can be useful to reduce landscape damages and to establish priority areas where it is necessary to plan measures to reduce the fire vulnerability. To this aim, a methodology based on an interactive computer-based system has been proposed in order to support NPA's management authority for the identification of vulnerable hotspots to fire through the selection of suitable indicators that allow discriminating different levels of sensitivity (e.g. Habitat relevance, Fragmentation, Fire behavior, Ecosystem Services, Vegetation recovery after fire) and stresses (agriculture, tourism, urbanization). In particular, a multi-criteria analysis based on Fuzzy Expert System (FES) integrated in a GIS environment has been developed in order to identify and map potential “hotspots” of fire vulnerability, where fire protection measures can be undertaken in advance. In order to test the effectiveness of this approach, this approach has been applied to the NPA of Torre Guaceto (Apulia Region, southern Italy). The most fire vulnerable areas are the patch of century-old forest characterized by high sensitivity and stress, and the wetlands and century-old olive groves due to their high sensitivity. The GIS fuzzy expert system provides evidence of its potential usefulness for the effective management of natural protected areas and can help conservation managers to plan and intervene in order to mitigate the fire vulnerability in accordance with conservation goals.

Taxonomy of interactive computer-based visualisation systems and content for the mining industry – part 2

This is the second paper of a series authored by a collaboration of international researchers. It develops taxonomy for computer-based virtual reality simulators of relevance to the mining industry. A summary is presented of simulator types implemented in the industry, and continuums are used to explain concepts and issues that affect simulator development and integration. The paper classifies simulators and demonstrates that there are potentially many simulator formats still to be realised and implemented by the mining industry. Simulator issues that are often overlooked such as human factors, cognitive load and development costs and their impact on the development of sustainable simulator technologies are considered in some detail. Barriers to development and integration are mentioned, and the need for industry to engage with university-level research and develop a uniform and integrated approach are discussed. Finally, a brief case study is presented and conclusions are drawn about the current status and sustainability of simulator development in the mining industry.

Evaluating the Effectiveness of a Mobile Location-Based Intervention for Improving Human-Computer Interaction Students' Understanding of Context for Design

With the ubiquity of interactive computer-based systems, designers are challenged to ensure the effectiveness and efficiency of their designs for a variety of different environments and user activities. To achieve this, designers need to have a comprehensive understanding of the relevant contexts and of the people for whom they are designing systems. Therefore, in helping students learn how to become proficient and innovative designers and developers, it is crucial to get them out of the classroom and into the environments in which their designs will be used. In this paper we describe an app designed to provide location-based hints and formative feedback to students to aid their understanding of the context. The results show an improvement in scores and quality of assessed work completed with the support of the app and a positive response from students regarding its usability and pedagogic utility. The paper also considers the challenges of conducting an ecologically valid study of such interventions in a higher education setting.

The Decision Support System for Hierarchical Portfolio Management

Securities investment in the capital market is one of the key factors in the socialism economic system.In order to optimize the return on investment, investors will build portfolio of their securities. The decision support system is intentionally developed for investment to select the securities in the Thai stock market, from a properly diversified stock portfolio, by using multi-criteria decision making technique. The hierarchical methods like AHP make complex decisions become easy make it easy in multi-criteria chosen. The system lets the user to create a rating for each criterion, calculates a relative weight to each criterion and then ranks securities listed on the stock market. Finally, the top rank security are collected to the portfolio. For further study, a decision support system for the capital investment planning and analysis to resolve, how much securities, bonds, gold, properties, and cash in hand needed to be invested, will be developed. involving an interface between the individual and computer, from problem formulation to solution (4). The proposed decision support system is developed for investment decision-making to select the securities in the Thai stock market, from a properly diversified stock portfolio. The multi-criteria selection which is applied to optimize the return on investment is financial ratio including: operating profit margin, debt to equity, price earnings ratio, and price to book value. The measurement of these ratios is usually used for indicating the performance of the enterprises. An interactive computer-based system includes three major parts: database; model base; and user interface.

Will Decision-Support Systems Be Widely Used for the Management of Plant Diseases?

Decision-support systems (DSSs) are interactive computer-based systems that help decision makers solve unstructured problems under complex, uncertain conditions. Experimental use of DSSs has resulted in improved disease suppression and lowered risks of crop damage. In many cases, it has also led to the use of smaller quantities of active substances, as compared with standard spraying practices. Hundreds of DSSs have been developed over the years and are readily available and affordable. However, most farm managers do not use them as part of their integrated pest management (IPM) practices. Since the mid-1980s, the author of this paper, together with numerous colleagues, has developed DSSs and decision rules for the management of diseases in a variety of crops, including extensive crops, such as wheat, sunflower, and pea; semi-intensive crops, such as pear, chickpea, cotton, and tarragon; and intensive crops, such as tomato, potato, cucumber, sweet pepper, carrot, and grapevine. Some of these systems were used widely, but others were not. This experience may allow us to draw general conclusions regarding the use of DSSs and decision rules. Possible explanations for the widely varying acceptance rates are presented, and the effects of anticipated changes in the agribusiness sector on the future use of DSSs are discussed.