Application Of Support System Research Articles

Sistem Pendukung Keputusan Pemilihan Perpanjangan Kontrak Kerja Karyawan dengan Metode SMART

Contract employees are one of the growing HR needs in the industry. The rapid need for contract employees makes HR leaders with the support of information systems still have difficulty in deciding the extension of contract employees according to their wishes. The research objective is a computerized program that is used to determine and evaluate special actions to determine the extension of contract employees using the Simple Multi Attribute Rating Technique (SMART) and Knowledge Data Discovery (KDD) methods. The research problem is to analyze and take into account the assessment of employees in carrying out their work through several criteria, then given the weighting, normalizing the weights, finally giving the parameter values ​​for each criterion. The system development method uses SDLC, the result of which is the application is a DSS that can decide through multiple criteria, while the criteria used are: discipline, attitude, potential and ability, work results and supporting factors. Research contributions assist the manufacturing resources department in determining the extension of contract employees. The output of the research is the application of a decision support system for the extension of contract employees, further research on the development of other DSS that can develop the company's human resource need.

Decision support system for employee recruitment optimization

In a production process, various production factors can affect the resulting performance. Employees, as a factor of production, play an important role in the production process, so it is necessary to get a high-quality workforce. In this regard, the recruitment process is very important, so it needs to be carried out strictly and thoroughly. The problem that is often encountered in the recruitment process is that applicant files are still handled manually, which allows errors to occur in the recruitment process. This error will impact the resulting performance because the industry has employees who do not fit the criteria. Therefore, a Decision Support System is needed in the recruitment process so that decision-making can be done quickly and accurately, reducing errors. This research aimed to find a decision support system application in employee recruitment. The recruitment process can be faster, more precise, and optimal because we get prospective employees who fit the required criteria. The method used to achieve the research objectives was the Analytical Hierarchy Process (AHP) to develop weights or priorities. The results obtained in this study were an application that shows the ranking of accepted prospective employees based on assessments in the recruitment process. In addition, the test results showed that 95% of the application could meet the Usability and Efficiency characteristics, and 70% meet the overall characteristics.

Implementasi Metode Weighted Product dan SMART Dalam Menentukan Lokasi Usaha Strategis Bagi Pelaku UMKM

In the business world, choosing the right business location is one of the main things that must be considered, the problem that occurs is choosing a business location that is not right for the business actors themselves. Therefore, an application is needed that helps business actors to determine the location. strategic for the business they are involved in. In this research, a decision support system application was made to make it easier for business actors to determine the location according to the criteria. Decision support applications are considered effective enough to create a ranking in determining strategic locations for business actors. The Weighted Product and SMART methods using 7 alternative data shows that the two methods produce data that is accurate and suitable when applied as a ranking for selecting business locations. The 2 methods have an elective execution score and the results of the weight values applied to each technique.

Sistem Pendukung Keputusan e-voting Seleksi Pemimpin menggunakan Metode Analytical Hierarchy Process

Elections for the leaders of the Student Executive Board are held every year. e-voting is one of the most important components and forms of democracy. The result of voting is always dissatisfaction from voters. To become a candidate for the Head of BEM, a selection process is required. When choosing a Student Executive Board Leader, there are several criteria that must be met by prospective candidates. The issue of selecting leaders was also discussed by Andi Rosano in choosing the Village Head. The difficulty for voters is to get a leader candidate who has advantages in different fields. Because of that, a decision support system is needed to assist voters in determining the leader of the Student Executive Board. The Decision Support System using the Analytical Hierachy Process Method can assist voters in selecting candidates for the Student Executive Board leaders. Methodology This research was carried out using a 2 (two) method approach, namely a field study conducted by means of interviews with the student affairs section that takes care of the election of the Student Executive Board Leader and literature study to collect information related to decision support systems using the Analytical Hierarchy Process method. The results of the research are in the form of a Decision Support System application using the AHP Method to assist the committee in getting the right results

PENERAPAN METODE PROFILE MATCHING DAN FUZZY SAW DALAM MENENTUKAN SEKOLAH MADRASAH IBTIDAIYAH TERBAIK

Currently the Office of the Ministry of Religion Kab. Langkat has not yet used the system to make decisions related to the Selection of the Best Madrasah Ibtidaiyah. Previously, the community only asked neighbors to find out whether the madrasa was the best or not. The problem that occurs in the community is that there is no effective data to prove whether the madrasa is the best or not. For this reason, we need a system that can assist the Ministry of Religion in making decisions regarding the selection of the best primary school by providing alternative choices by considering several elements of each of the predetermined criteria. As for the results of the study: The decision support system application that was built can provide decisions in selecting the best primary school.

Sistem Pendukung Keputusan Pemberian Kredit pada Koperasi Karyawan Aneka Pangan Nusantara Menggunakan Metode SAW

Giving credit is an effort made by cooperatives to provide loans to members by utilizing the funds they have. In granting credit, cooperatives need to study and calculate appropriately so that there are no mistakes in decision making. The Aneka Pangan Nusantara Purwakarta Employee Cooperative is a cooperative engaged in various business fields, such as shops, savings and loans, and various businesses. Based on the results of interviews that have been conducted with Mr. Tendi Rismawan as Administrator, it is known that in making credit decisions at the Aneka Pangan Nusantara Purwakarta Employee Cooperative, it is still carried out directly by the Chairman, Treasurer, and Sie. Savings and Loans cooperative. As a result, if many members apply for loans, the decision-making process becomes ineffective and efficient and can create opportunities for errors to occur, therefore a system is needed that can assist in making decisions. Decision Support System (DSS) is a computer-based information system that helps decision makers to make quick and accurate decisions on a semi-structured problem. DSS in this study used the Simple Additive Weighting (SAW) method. The SAW method was chosen because it can give the highest priority to members who apply for loans. The dataset in this study consisted of 3 criteria and 16 alternatives. The results showed that those who were entitled to a credit loan were Suprianto and Jimmi Oktavianus. The application of a decision support system using the SAW method can provide solutions based on predetermined criteria to determine the priorities and priorities of members who apply for loans in providing credit

SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PEMENANG LELANG TENDER PROYEK MENGGUNAKAN METODE PERBANDINGAN EKSPONENTIAL PADA KANTOR DINAS PEKERJAAN UMUM TIMOR TENGAH UTARA

Tenders or auctions in the construction industry are often held, either public or open or closed depending on the owner and the project to be carried out. Tenders or auctions are needed because in the implementation of a project, both government projects and private projects, the owner expects the best bid for the project. A tender committee is an organization established and endorsed which is responsible for the successful auction of a tender. The tender or auction in the north middle Timor regency is held every year after the local government proposes the project procurement in the budget session with the DPR. Project procurement is proposed at the hearing in the form of the location and amount of the project budget, during the budget session. The amount of budget proposed by the government can be reduced and the project procurement can be canceled unilaterally by the DPR, after the budget session is over and the project procurement has been approved, the project will be posted on the LPSE (Electronic Procurement Service) website of north middle Timor regency. In determining the tender winner, at the final determination stage, is still done manually so there are a lot of cheats and frequent human errors, therefore an application is needed to assist and facilitate decision-making in determining the winner of the project tender. This research produces a decision support system application to determine the winner of the project tender that can assist the committee in determining decision-making using the Exponential Comparison Method. The result of the system implementation is that the system can assist and facilitate decision-making in determining the project tender winner. The decision support system for determining the winner of this project tender can assist the committee in determining decision-making using the Exponential Comparison Method. Measuring the accuracy of determining the project tender winner between the Public Works Agency ranking with the Exponential Comparison Method (MPE) algorithm ranking, obtained an accuracy rate of 100%, so that the Exponential Comparison Method algorithm is feasible to be implemented in making a decision support system for determining project tender winners at the office North Middle Timor Regency Public Works.
 

Towards automated risk prediction of persistent pain: Exploring psychosocial factors from electronic health records after breast cancer surgery.

The aim of this study was to describe what psychosocial factors associated with postoperative persistent pain can be found in electronic health records of patients with breast cancer, and which of these factors that may be used in the development of a decision-support system algorithm to better support health professionals in their clinical work. A qualitative descriptive study. A retrospective electronic health record review was done using manual semantic annotation. A set of 101 records of patients with breast cancer were selected by computerized random sampling. The data were analysed with deductive content analysis. A total of 337 different expressions describing psychosocial factors associated with postoperative persistent pain were identified from the documentation done in the electronic health records. These regarded psychological strength and resilience, social factors, emotional factors, anxiety, sleep-related factors and depression. No records were found dealing with pain catastrophizing. Although psychosocial factors associated with postoperative persistent pain were documented in the electronic health records, documentation about such factors was not found in all patient's records, nor was the documentation done in a systematic manner. The findings show that there is potential to use electronic health records as information source in the development of decision-support system algorithms to better support nurses in the identification of patients at risk of developing postoperative persistent pain. However, the documentation quality needs to be acknowledged in the application of decision support systems, which are built on information extracted from electronic health records. Future work is needed to standardize documentation practices and assess the comprehensiveness of the documentation.

Redefinition creative and inventive design support system: DX application design process

Although DX initiatives have been mandated since the 2010s, the design of digital information systems can be influenced by business and technology aspects and have a significant impact on the attractiveness of services, but there is not enough design science research in this area. In addition, the design of information systems often consists of multiple people with diverse capabilities, and methods that effectively utilize diverse perspectives are needed to design attractive solutions.The authors are conducting research on the application of support systems in engineering (CDSS) to methodologies that support design (conceptual design) in the information systems field. Based on the results of applying CDSS to the digital field, this paper defines a new CDSS methodology that incorporates new "storytelling" and "digital business strategy" in the problem understanding phase to derive solutions to human and economic requirements. We will also incorporate World Cafe as a team discussion method into the storytelling and define CDSS for DX application design process.

SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK PEMILIHAN MEKANIK TERBAIK PADA PT GEMILANG BERLIAN INDAH

This study aims to analyze the application of a decision support system on the selection of the best mechanics at PT. Brilliant Beautiful Diamonds. In the assessment process for the selection of the best mechanic, there is no definite system in the assessment so that the process is not optimal and takes a long time. To overcome this problem, it is necessary to renew the existing mechanical selection system, one of the steps taken is to implement a decision support system. The analytical method used in this study is the Simple Additive Weighting (SAW) method which is a weighted summation method of performance ratings on each alternative on all attributes. There are several criteria taken from the selection of the best mechanics, namely Standard Operating Procedure (SOP), performance, responsibility, discipline, cooperation, and skills. The results of this study can be concluded that this system can be used as an auxiliary application for the best mechanical recommendations quickly and efficiently.

Application of Clinical Decision Support Sys-tem Based on Artificial Intelligence in Hepatocellular Carcinoma

Application of Clinical Decision Support Sys-tem Based on Artificial Intelligence in Hepatocellular Carcinoma

CpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, is a vital application of a computer-assisted clinical decision support system. It can help clinicians extract critical information effortlessly for clinical decision-making by comprehending and answering questions from biomedical text data. While recent advances in bio-MRC consider text data from resources such as clinical notes and scholarly articles, the clinical practice guidelines (CPGs) are still unexplored in this regard. CPGs are a pivotal component of clinical decision-making at the point of care as they provide recommendations for patient care based on the most up-to-date information available. Although CPGs are inherently terse compared to a multitude of articles, often, clinicians find them lengthy and complicated to use. In this paper, we define a new problem domain – bio-MRC on CPGs – where the ultimate goal is to assist clinicians in efficiently interpreting the clinical practice guidelines using MRC systems. To that end, we develop a manually annotated and subject-matter expert-validated benchmark dataset for the bio-MRC task on CPGs – cpgQA. This dataset aims to evaluate intelligent systems performing MRC tasks on CPGs. Hence, we employ the state-of-the-art MRC models to present a case study illustrating an extensive evaluation of the proposed dataset. We address the problem of lack of training data in this newly defined domain by applying transfer learning. The results show that while the current state-of-the-art models perform well with 78% exact match scores on the dataset, there is still room for improvement, warranting further research on this problem domain. We release the dataset at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/mmahbub/cpgQA</uri> .

Analysis of decision support system for determining industrial sub-district using DEMATEL-MABAC methods

This paper aims to create a decision support system (DSS) application for determining industrial locations in Serang Regency, with mathematical calculations using the DSS (Decision Support System) hybrid method namely Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Multi-Attributive Border Approximation Area Comparison (MABAC). The DEMATEL method is used to obtain the criteria weights of each criterion and the MABAC method is used to rank the determination the best industrial sub-districts. The data used are primary data, namely interviewing interviewees to calculate the weight of the criteria and secondary data, namely the official website data of Central Bureau of Statistics. Then, the process and results of the DEMATEL-MABAC calculation method are implemented with a python-based desktop application. The results of this method indicate that the location of Cikeusal District in Serang Regency is the right location to be used as an industrial location with the criteria and alternative function values ​​of 0.193.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBYEK WISATA TERBAIK DI KABUPATEN SRAGEN DENGAN METODE WEIGHTED PRODUCT

Sragen Regency Tourism Object is one of the places for recreation with family. Sragen Regency has many beautiful and diverse tourist attractions, making it difficult for people to determine the best tourist attraction. The criteria that are in great demand by the public are: Location, Facilities, Tickets and Security. This requires the Head of the Tourism Office to be able to make decisions in determining the best tourism objects. The purpose of this research is to make a Decision Support System Application for the Selection of the Best Tourist Attractions in Sragen Regency by using the Weighted Product Algorithm Method. This method was chosen because it has the ability to rank to determine the best alternative based on all criteria and weights. Data was collected by means of interviews, observations and literature studies. System design is made with Context Diagram, HIPO, DAD and ERD. This application was developed with PHP language and MySQL database. The results of the tests carried out on the functionality test were good and the validity test results were 100% valid. The implementation results obtained by the best tour is Ndayu Park with the highest score of 0.0852.

Implementasi Metode MAUT dalam Sistem Pendukung Keputusan Seleksi Penerimaan Stock Keeper Restoran dengan Pembobotan Rank Order Centroid

In a restaurant that is running well, of course, it requires the best quality human resources. One of the human resources that is needed by a restaurant is a stock keeper. Stock keeper restoration is needed to ensure that supplies are maintained properly. The selection process for receiving stock keepers is still carried out conventionally so that the selection process is sometimes not appropriate in accepting the best stock keepers. In determining the selection of restaurant stock keepers, there are several criteria, namely work experience, education, ability to operate Microsoft, attitude, communication, psychological test, interview, personal vehicle and age. Because of these problems, a system is needed that can assist in obtaining reliable and targeted recommendations. The application of a decision support system in this study is used by implementing the Multi-Attribute Utility Theory (MAUT) and ROC methods where these methods are very helpful in producing the best weight and preference values ​​from alternative data and criteria so as to get the final result, namely the best restaurant stock keeper recommendations the Alternative A5 with a score of 1,005 on behalf of Lollymoci

Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode Profile Matching

SMA Negeri 4 Sarolangun is a public school located in Mandiangin, Sarolangun Regency. As an educational institution, the role of the teacher is so important in transforming educational inputs. Therefore, to ensure the quality of teachers in teaching and learning activities (KBM) at school, SMA Negeri 4 Sarolangun conducts teacher performance assessments. Teacher performance appraisal is useful to motivate teachers to continue to improve their quality. In selecting the best teachers, the principal and staff experienced difficulties because they were assessed conventionally by assessing one that was included in the form of an assessment. In order for the selection to truly reflect and reduce subjectivity and to produce fast and precise information, a Decision Support System application for Scholarship Admissions is needed which is built using the Profile Matching method, using the Visual Basic.Net 2008 programming language and database using Microsoft Access 2007. The design The system was created using object-oriented modeling tools, namely Use Cases, Activity Diagrams, and Class Diagrams. With the construction of this new system, it is hoped that it can help the performance of the Student Affairs Section while speeding up the process of evaluating teacher work at SMA Negeri 4 Sarolangun

Mini Thesis Supervisor Recommender System Using Simple Additive Weighting Algorithm : A Case Study of Universitas Internasional Batam

Currently, the selection if thesis supervisors in Faculty of Computer Science at Universitas Internasional Ba-tam is done based on direct consideration of the supervisor candidate’s competence, functional, and education. However, this thesis supervisor selection process is not very effective if the student doesn’t know a suitable supervisor for the topic of the thesis they have chosen. Therefore, a decision support system is required to determine the thesis supervisor so that the thesis submitted by student is match with the competence of the thesis supervisor candidate. The primary goal of this research is to create a decision support system application that can assist in determining the thesis supervisor. The Research and Development (R&amp;D) technique was employed in this study, with the Simple Additive Weighting (SAW) decision making approach and the ADDIE model for the development process. Lecturer data was collected by distributing questionnaires. Based on the result of SAW calculations, it was found that alternative 7 (A7) and alternative 4 (A4) were the best alternative. From the result of testing on application, the application was able to provide recommendations for thesis supervisors to users based on the calculation using SAW Method. Future research may try to use or combine other decision-making methods, such as AHP or Apriori.

Decision Support System for Industry Machine Maintenance Using Weight Product (WP) Method

Machine maintenance management is one of the important aspects in every industry. Implementation of machine maintenance management requires the management of various types of data such as machine age, machine condition and so on. Data management with the help of a decision support system will help improve the effectiveness and efficiency of machine maintenance management. In making the right and correct decisions, it is necessary to have decision support. Without machine maintenance management, it can harm the industry because the machine maintenance schedule cannot be determined optimally, and the costs incurred by repair, maintenance and production cessation activities cannot be determined directly. Therefore, the industry needs a decision support system that is able to improve the efficiency of its machine maintenance management. This research focuses on the design and development of a machine maintenance decision support system application using the weighted product (WP) method. Weighted product (WP) method is one of the multi criteria decision making methods used to determine the final decision by using several criteria. This method can provide a reliable methodology that helps to organize the most optimized result in the presence of many different opportunities, parameters, and constraints. Research method used in this study is the Web Engineering Method. This system is developed by using PHP programming language and MySQL as a database. This system is expected to increase the effectiveness and efficiency of machine maintenance management.

Sistem Pendukung Keputusan Kenaikan Jabatan Karyawan PT. Indomarco Prismatama Menggunakan Metode Simple Multi-Ttribute Rating Technique

The promotion of employees at PT Indomarco Prismatama is still done manually, so it is possible if decision making is done subjectively by only looking at certain aspects. weights that have been determined by the company. The method used in decision making is the SMART method, with this method we can find out which employees are included in the weights and criteria for promotion at PT Indomarco Prismatama. The existence of problems at PT Indomarco Prismatama requires a Decision Support System in determining employee promotions. The system development method uses quantitative and qualitative models as well as the PHP programming language, native php and MySQL database. The final result in this research is the establishment of a Decision Support System for Employee Promotion at PT Indomarco Prismatama. With this website-based SMART method, it can determine which employees are worthy of consideration and have not been selected to choose the best one in occupying the position. After the decisions obtained in the decision support system application, the system will display the results of the decisions that have been taken.Keyword : Decision Support System, SMART Method (Simple Multi Attribute Rating Technique), Quantitative and Qualitative Method

Decision Support System of Salt Points Grouping Using K-Means Method

Madura Island is known as Salt Island. Madura has always been one of the major contributors to the national salt production. However, the resulting salt production has not been able to meet the needs of national salt and salt for public consumption. There are 4 salt producing districts in Madura, namely Sampang, Bangkalan, Sumenep and Pamekasan. There are several factors that affect the low productivity of salt, including weather and climate, undeveloped technology, inadequate means and infrastructure for smallholder salt production, and marketing of people’s salt is still on a local scale. The purpose of this study is to create and design a decision support system application for grouping salt ponds to increase the productivity and economy of the Madurese community, especially salt farmers in Sampang and Bangkalan districts. The method used for grouping salt ponds is the K-Means Clustering method. This method can divide or partition salt pond data into several clusters according to the characteristics of each data. The grouping of salt ponds is based on several criteria data, namely land area, land status, labor, capital, production, profit, education, and experience of salt farmers. The results of this study resulted in 3 clusters for salt ponds with high productivity (C1) of 46%, medium productivity (C2) of 31% and low productivity (C3) of 23%.