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This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into training data (80%) and test data (20%) to build and evaluate the model. The training results showed that the model was able to predict the risk of arrhythmia with a Mean Squared Error (MSE) value of 0.15 and a coefficient of determination (R²) close to 1. Evaluation using a confusion matrix showed an accuracy of 76.19%, precision of 82.80%, recall of 76.19%, and F1 score of 72.70%. These results prove that linear regression can be used as an initial approach in the early detection of arrhythmias non-invasively in the elderly. This study provides a foundation for the development of ECG data-based clinical decision support systems and suggests future exploration of more complex models and integration with real-time monitoring technologies.

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.

Selecting the right supplier is a critical aspect of supply chain management, especially in a retail business like Parfume Corner, which relies on product quality, availability, and on-time delivery. This study aims to implement the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method as a multi-criteria decision-making approach to determine the best perfume supplier. The VIKOR method was chosen because of its ability to handle conflicts between criteria and produce optimal compromise solutions. The evaluation criteria used include product quality, price, on-time delivery, after-sales service, and flexibility in negotiations. Data were collected from five potential suppliers through observation, interviews, and historical transaction documents. The analysis results showed that one supplier obtained the lowest VIKOR index score, thus being determined as the best compromise solution. The implementation of the VIKOR method proved effective in providing objective and transparent recommendations, which can support Parfume Corner's strategic decisions in building long-term partnerships with reliable suppliers. This approach can also be adapted by similar businesses to improve procurement efficiency and quality. The test results obtained were that in the expert test a Good value was obtained, namely 80%, while in the system test a Very Good conclusion was obtained, namely 100%.

Decision Support System (SPK) can be used to select the best college in this journal, the author uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method which is expected to be a solution for consideration for prospective new students who want to pursue higher education. From the calculation results, it is found that the highest result value from the calculation formula can be used to be the best choice in choosing a college for prospective students. With confusion matrix accuracy reaching 90%.  

Kemajuan dalam bidang kecerdasan buatan, khususnya teori multi-agen, memberi harapan baikpada pemodelan proses perencanaan strategis. Pada domain ini, kemampuan mengajukan agen kognitifnyata yang bekerja untuk menyelesaikan masalah memungkinkan pemrosesan masalah yang lebihkompleks dan tidak terstruktur. Artikel ini menjelaskan kerangka umum untuk membangun distributedstrategic decision support system (DSDSS) yang menggabungkan kemajuan dalam pembuatan keputusanterdistribusi dan kecerdasan buatan terdistribusi. Dilanjutkan dengan penjelasan sistem kooperatif danterdistribusi dengan dua fitur khusus: campur tangan pemakai sebagai agen manusia dalam formulasijawaban, dan pengetahuan strategis serta pengetahuan domain terdistribusi pada agen-agen yangberkomunikasi lewat blackboard dan penyampaian pesan

Decision support system of credit giving is a computer-based information system that can be used as a tool for manager of the credit department to decide received  whether or not the loan application that submitted by customers. In the decision support system of credit giving uses principles of assessment called the 5 C. The 5 C are character, capacity, capital, collateral,  dan condition. Principles of  the 5 C will be taken for credit giving consideration. While preference for the weighting of criteria using Analytical Hierarchy Process. Overall, the existing process on the decision support system  of  credit giving is manager assigned the criteria, sub criteria, sub-sub criteria and the score. Then manager give preference of criteria to generate criteria weights. The data has been inputted by manager is used by staff of credit department  to perform the assessment so that can be produced a credit decision is received or rejected.

Decision Support System couple the intellectual resource of individuals with the capabilities of the computer to improve the quality of decision. It's a computer based support system for management decision makers who deal with semi-structured problem. An integrated decision support system for use in an machine mollen product has been developed. It incorporates a linear Programming model that represents the contribution optimal and optimizes the production water pump and mollen machine. An optimization model is performed using a management scient model called linear programming approach in older to determine media selection. To use this model, the DSS needs ti interface with another software. Mathematical Programming is a technique used in mathematical models, particularly optimization models, to assist in decision making. The Simplex Method is "a systematic procedure for generating and testing candidate vertex solutions to a linear program." (Gill, Murray, and Wright, p. -137) It begins at an arbitrary corner of the solution set. At each iteration, the Simplex Method selects the variable that will produce the largest change towards the minimum (or maximum) solution. The  development of computer programs to be used as Decision Support Systems involves several tasks such as mathematical modeling, technical and data collection and development of a user friendly interface.

A university as an educative institution needs an assessment for the programs it has. In order to conduct such assessment , some components need to be assessed based on the internal and external factors. It is necessary to establish a decision support system toward the performance of the department. It can help the decision maker to know the condition occurred in this department. 'l he assessment of the study program's performance for evaluating can be done by underlining the components that will be assessed by making the model. The model which is prepared by applying some rules, stated in accreditation board, will be used as a reference in performance assessment for  Diploma III program. By applying a model toward the assessment criteria from the related department, it will help us to get the result. The achieved result is in form of the total score from the assessment, the score is devided into 5 class excellent, very good, good, sufficient and poor. Consequently, the report of resulting assessment can be to determine some steps to improve or maintain the recent achievement. By applying the decision support system of the department’s performance , it allow a decision maker to be able to monitor the department or the study program.

Multinational Corporation is company that operated in many products, markets and cultural, because they, have many company’s branch in foreign. So Multinational Corporation need Global Information System for coordinating their company's branch. Global Information System can connect between everyone involved decision making. Coordinating can done more effective and efficient with Global Information System, because Global Information System can give coordinating's support unlimited time and place.

Decision support systems based on fuzzy logic may be used to solve problems to find optimum solution on  fuzziness environmental. The differences with old decision support system is we can find optimum solution that more realities, because in fuzzy logic not use absolute  truthful right or false. Goal of this article is how to construct model base on decision support system based on  fuzzy logic.

The meaning of data and informations, most of people sometimes think as same as. But really, it's difference. This passage explain their differences. Also, the passage shows the steps for producing information in three major operations : input, process, and output. Besides this, for many decades, information grew up very fast and very easy. So we know about DSS (Decision Support Systems), EIS (Executive Information Systems, ES (Expert Systems), etc. And then, the writer give an example for information evolution in personnel systems