Simple Additive Weighting Research Articles

Optimasi Seleksi Penerima Beasiswa di Sekolah Menengah Kejuruan: Pendekatan Strategis dengan Metode Simple Additive Weighting (SAW)

This study aims to address issues in the scholarship recipient selection process at vocational high schools (SMK). The main challenge lies in the limited availability of scholarships, necessitating careful selection. The objective of this research is to implement the Simple Additive Weighting (SAW) method as a solution to enhance the structure, efficiency, and objectivity of the selection process. The SAW method is used as the primary approach, which involves steps such as determining criteria, assigning preference weights, and ranking alternatives. The data used includes a sample of 5 scholarship candidates from SMK N 1 Hiliran Gumanti, with criteria divided into benefits and costs. The results of the selection of scholarships demonstrate the success of SAW in providing the rankings according to predefined criteria. The conclusion of this research highlights the effectiveness of the SAW method in delivering objective rankings to scholarship candidates. The final results can help the selection team determine the best scholarship recipients. The implementation of SAW is expected to create a more structured and efficient selection system at SMK, opening opportunities for improved educational access for financially needy students.

DECISION SUPPORT SYSTEM IN IMPROVING THE QUALITY OF BANJARMASIN TOURISM, GET TOUR APPLICATION USING THE SAW METHOD

Tourism is an activity that is liked by many people, even tourism is one of the important needs, especially regarding socio-economic activities which are seen as having good prospects in the future. In South Kalimantan, especially the city of Banjarmasin, there are many good tourist attractions such as the historical mosque of Sultan Suriansyah, Siring Park, Banjarmaisn City, and culinary tours of Arab villages. Of the tourist attractions that have been mentioned, tourists are still confused in determining tourist attractions because there are many places and a lack of information about tourist attractions in South Kalimantan. From this description, a Decision Support System (DSS) or Decision Support System (DSS) was created to determine tourist attractions in South Kalimantan called the Get Tour application. In addition to displaying information about tourist attractions, this application also displays information on tourist attractions in the form of a map. The results of calculations in the application are in accordance with the formula and expected results based on several criteria, namely distance, parking area, the first special criteria, the second special criteria and the third special criteria using the Simple Additive Weighting (SAW) method.

Validasi Dokumen Pengajuan Kredit Nasabah Menggunakan Metode Simple Additiveweighting dan Rapid Application Development

Applying for credit to purchase goods is now very easy, just attach it personal and supporting data documents, your credit application can be approved in a matter of hours. These submission documents must have valid criteria and information prospective customer data, and fast and accurate validation methods are carried out in doing so document verification and validation. The Simple Additive Weighting method is used for validating documents and verification is carried out by checking the source of the document issued. This method, out of 100 credit applications that are approved, has a level success reached 97% and only 3% of customers experienced credit problems.

Decision Support System for Selection of The Best Doctor at Ahmad Brahim Hospital Using the Simple Additive Weighting (SAW) Method

The selection of the best doctors at the Ahmad Brahim hospital was not only done once, but the selection of the best health workers at the Ahmad Brahim hospital was also carried out, but the selection of the best health workers was still done manually by the health department. Therefore, to help speed up the research process, a website-based decision support system was created to select the best doctors to provide rewards with several methods that can be used. One of the methods used in making decisions is simple additive weighting (SAW) which is done by weighting each of the criteria used. Decision support website created using the PHP and MYSQL programming languages for data storage. This study has criterion 3, namely absence, attitude and diligence then have 7 alternatives, the 7 alternatives have 4 ratings 1 where the average assessment is the same as the absence score 0.45, the attitude value is 0.35 and the diligence value is 0.12 with a total value of 1 so those who get the first rank score are dr. Audi Pirade, dr. Kesatria Putra Abadi, dr. Nurfitri Rahmani Awaliyah and dr. Riska Ruswanti. Then the second rank is dr. Christi Angelia Arung Labi with an absence score of 0.45, an attitude value of 0.35 and a diligence value of 0.12 with a total of 0.92

Application of the saw method for employee selection system in the PT Pinus Merah Abadi

PT Pinus Merah Abadi is a company engaged in the sales and distribution business with a distribution network spread throughout Indonesia, both through traditional and modern channels. Currently PT Pinus Merah Abadi carries out the employee selection process on average 2 (two) times a year with a total of 50-60 job applicants. The assessment process when selecting employees uses multiple criteria, namely assessment during psychological tests, competency tests and interviews. The employee selection process still has several problems, including subjectivity in the assessment process and it takes a long time because it is done manually, resulting in the decision making process being slow. Based on these problems, research is needed as a system innovation in making decisions regarding the selection or selection of new employees at PT Pinus Merah Abadi applies a simple additive weighting method based on six criteria, namely: test, education, age, experience, readiness and expertise. As a result, this system can help make it easier for HRD to select employees based on the highest ranking results.

Decision Support System for KIP Universitas Global Jakarta Scholarship Recipients Using the Simple Additive Weighting (SAW) Method

In accordance with the explanation of article 76 UU No.12 Tahun 2012 about Higher Education. In article 76 Paragraph 1 Explained that, "The Government, Local Government, and/or Universities are obliged to fulfill the rights of economically disadvantaged students to be able to complete their studies by academic regulations". As for those who were accepted, only 61,067 participants were. They are scattered in various colleges. Based on the technical guidelines for the implementation of the KIP Kuliah 2021 selection for the Education Financing Service Center of the Direktorat Jenderal Pendidikan Tinggi Kementerian Pendidikan dan Kebudayaan Republik Indonesia, several criteria must be met by prospective students. The results of the absolute requirements are then re-selected in the form of academic ability tests and interviews conducted to capture assistance so that they are right on target. Based on the number of prospective enthusiasts who register, the registration process takes a lot of time, starting from the selection process for completeness of documents, and academic potential tests, to interviews. In its implementation, choosing prospective students who are by the criteria requires more time and allocation of human resources, so this research is expected to make it easier for universities to monitor the activities of KIP Kuliah recipient students and make it easier to evaluate students on the results of the scores that have been obtained

Pemeringkatan Kinerja Dosen pada Perguruan Tinggi Swasta Menggunakan Algoritma Simple Additive Weighting

The Tri Dharma of Higher Education is an obligation for lecturers while carrying out their duties as lecturers at higher education institutions, the implementation of which is regulated in Law Number 20 of 2003 concerning the National Education System. The Tri Dharma of Higher Education is a lecturer's obligation, including Education and Teaching, Research and Development, and Community Service. Lecturers need Support and motivation to implement quality Tri Dharma, especially at "X" Private Universities. Providing rewards or awards can motivate lecturers to give their best performance to Tri Dharma. Student feedback is also needed as evaluation material for lecturers to measure their teaching abilities. Rewarding lecturers can be done by ranking lecturer performance, especially at private universities. The SAW (Simple Additive Weighting) algorithm ranks lecturer performance through the criteria of education and teaching, research, community service, and student feedback. An assessment of several subcriteria presents each criterion. The normalized scoring matrix is ​​the ranking preference. From the results of data processing on lecturer performance and feedback from students, with a sample of 25 lecturers, a ranking score was obtained on a scale of 0 to 1, where a score of 1 is the highest ranking. The lecturer performance ranking process involves lecturers, students, and the Study Program Management Unit. A lecturer performance rating information system is needed to facilitate all actors' involvement in the lecturer performance rating process and provide valid and timely rating results to stakeholders.

Evaluation of business strategies based on the financial performance of the corporation and investors' behavior using D-CRITIC and fuzzy MULTI-MOORA techniques: A real case study

Revealing the complex relationship between corporation-chosen strategies and financial performance is crucial in navigating today's dynamic business landscape. This research delves into the profound impact of business strategies on both corporation performance and investors' behavior, seeking to identify the strategy that yields the highest returns and efficiency for the corporation and its beneficiaries (investors, loan-holders, and stock-holders). This study proposes a multi-criteria decision-making (MCDM) model that integrates the distance correlation-based criteria importance through inter-criteria correlation (D-CRITIC) weighting method with multi-objective optimization on the basis of ratio analysis plus full multiplicative form (MULTI-MOORA) technique to evaluate the business strategies of corporations (i.e., defenders, analyzers, reactors, and prospectors). Notably, fuzzy MULTI-MOORA methodology is employed to account for uncertainty, addressing vague, imprecise, and ambiguous input and knowledge. This study is implemented on a real case of the Tehran Stock Exchange on a sample of eighty companies from 2017 to 2021. The study's results underscore the medium analyzers strategy as the optimal alternative among various business strategies, assuming the maximization of benefits for all beneficiaries, and simultaneously specify a prevalent preference for analyzer strategies within Iran's economic landscape. To validate the proposed method, the findings are compared to the other MCDM techniques such as technique for order performance by similarity to ideal solution (TOPSIS), multi-objective optimization on the basis of simple ratio analysis (MOOSRA), simple additive weighting (SAW), viekriterijumsko kompromisno rangiranje (VIKOR), and Taxonomy. Additionally, applying principal component analysis (PCA) as a visualization approach demonstrates the satisfactory performance of the proposed framework. Beyond its scientific contributions, this research holds practical managerial applicability, providing actionable insights for informed decision-making across various fields.

Determining the Quality of Laying Parent Duck Seeds Using the SAW Method

The selection of laying ducks on a farm is an important step for the continuity of activities in it. Increasing the selection of laying ducks requires quality standards to measure its success. This increase uses a simple additive weighting (saw) method in a decision support system. The increase in the selection of laying ducks is based on several criteria that have been applied, including the age of the ducks, the weight of the ducks, the shape of the duck feathers, and the shape of the duck wings. The results of this study indicate that the proposed model can be used properly in carrying out the selection of parent ducks for laying eggs. The SAW method is able to produce decisions in the form of the best alternative that can be used to assist decision makers. so that it can assist in the selection of broodstock ducks in an ordinary or intensive farm.

Penentu Industri Kecil Unggulan Dikabupaten Muaro Jambi Menggunakan Metode Simple Additive Weghting (SAW)

Small and Medium Industries (IKM) have an important role in economic development. Muaro Jambi Regency is one of the districts in Jambi Province whose people are engaged in small and medium industrial businesses (IKM). This is inseparable from the important role of the Muaro Jambi Regency Government in supporting the development of small and medium industries (IKM). SMEs in Muaro Jambi Regency are grouped into 5 groups, namely craft SMEs, chemical and building materials SMEs, metal and electronics SMEs, food SMEs, and clothing SMEs. Of these 5 groups, it is necessary to know which group of IKM is growing widely both in terms of the number of IKM, number of workers, investment value and production value. The aim of this research is to find out and analyze which small and medium industrial groups (IKM) are superior in Muaro Jambi district and help simplify the process of selecting superior SMEs in Muaro Jambi district. The analytical model used to determine priorities for leading small and medium industries in Muaro Jambi district is the SAW (Simple Additive Weighting) model. The SAW model is used to formulate a weighted sum of priorities for the performance ranking of each alternative on all attributes, while the system design method uses the System Prototyping method. The result of this research is the SPK system with the SAW model which shows that the leading small and medium industries in Muaro Jambi district selected based on predetermined criteria are the Chemical and Building Materials industry with a total of 0.813

Penerapan Metode Simple Additive Pada Sistem Pendukung Keputusan Untuk Pemilihan Handphone

The choice of mobile phone is an important decision in today's information technology era. In this context, the application of the Simple Additive method in the decision support system (DSS) becomes relevant to assist users in choosing a mobile phone that suits their needs and preferences. The Simple Additive method provides a simple yet effective framework for combining diverse criteria for evaluating mobile options. This study aims to develop SPK based on the Simple Additive method to improve accuracy and efficiency in the decision-making process of mobile phone selection. Through data analysis and system testing, it is hoped that the results of this research can make a positive contribution to the development of decision support systems for mobile phone selection. The purpose of this study is to implement an Android-based decision support system to assist users in choosing a mobile phone that suits their needs. Data collection is in the form of interviews and literature studies. This Mobile Selection Decision Support System was built with the help of Simple Additive Weighting in choosing mobile phones based on user needs and MySQL as a data storage. This Decision Support System for Mobile Selection was tested using black box testing successfully and system validation got results that were in accordance with the brand and specifications of the Mobile Phone. This Mobile Selection Decision Support System is expected to make it easier for users to choose the mobile phone needed.

Optimization of new fire department location using an improved GIS algorithm for firefighters travel time estimation

PurposeThe rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the optimal locations for new fire stations, to improve service quality and maximize service coverage within the specified time.Design/methodology/approachThis paper proposes a method for precisely calculating travel time that integrates delay time caused by traffic lights, intersections and congestion. The study highlights the importance of precise calculation of travel time in order to provide a more accurate understanding of the service area covered by the fire stations. The proposed method utilizes network analysis in ArcGIS, the analytical hierarchy process (AHP) and simple additive weighting (SAW) to accurately calculate travel time and to identify the best locations for new fire stations. The identification of new site was based on service safety, service quality, service costs and demographic factors and applied to the Sleman district in Indonesia.FindingsThe results showed that the total area covered by old and new fire stations decreased from 61% to 31.8% of the study area when the adjusted default speed scenario was implemented.Practical implicationsThe results indicated that the default speed scenario could provide misleading information about the service area, while the adjusted default speed scenario improved service quality and maximized service coverage.Originality/valueThe proposed method provides decision-makers with an effective tool to make informed decisions on optimal locations for new fire stations and thus enhance emergency response and public safety.

Mapping Groundwater Potential (GWP) in the Al-Ahsa Oasis, Eastern Saudi Arabia Using Data-Driven GIS Techniques

Searching for new sources of water is becoming one of the most important aspects of scientific research, especially in areas prone to drought, like Saudi Arabia. The study aim was to delineate groundwater potential zones within the Oasis of Al-Ahsa, in Saudi Arabia’s eastern region, and to identify the optimum factors that control the availability of groundwater zones. This was achieved through examining the effect of ten environmental variables on groundwater recharge, namely: slope, topographic wetness index (TWI), land cover (LC), elevation, lineament density (Ld), drainage density (Dd), rainfall, geology, and soil texture. The variables were prepared from a variety of data sources, including spatial data (i.e., DEM and Landsat-8 image), in addition to other complementing data sources for appropriate parameters extraction. Two weighted overlay methods were used, namely the simple additive weight (SAW) as well as the optimum index factor (OIF) in order to categorize the optimal set of parameters for computing GWP and identifying its zones. Two GWP maps were obtained and validated through comparison with the locations of existing wells at GWP zones. The study findings have assured the cogency of the SAW map, where it was found that nearly 45–48% of the resultant zones were characterized as in the “moderate” class, whereas around 21–37% of the entire zones area were classified within the “high” class. The soil texture parameter was determined as being the most influencing parameter for GWP mapping followed by the “geology” parameter; however, the “lineament density” (Ld) was the least important factor. Furthermore, the OIF method has facilitated the identification of the optimal parameter combination for delineating groundwater potential (GWP) zones, which included “Ld”, “land cover”, and “TWI”. The study findings and methodology can serve as a potential model for other similar regions, supporting sustainable water resource management locally as well as globally.

Developing Islamic Mall Index based on Maqasid Framework

This research aims to analyze and try to build a maqasid sharia-based mall index. This research uses Simple Additive Weighting (SAW) method to assess the extent to which maqashid syariah index is achieved. The results show that Aeon Mall has a lower weight compared to Cibinong City Mall. The difference in the empowerment index of the two malls lies in the indicators of hifzunnafs, hifzuaql, and hifzubiah. Aeon Mall excels in the hifzuaql indicator, while Cibinong City Mall excels in the hifzunnafs and hifzubiah indicators. Based on the results of this study, it can be concluded that to find out that a mall can be said to be sharia compliant not only seen from one factor, but seen from several Maqasid Syariah indicators. This indexation can be considered in the future for measurements/calculation of the same object.

Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia

The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.

What is Islamic Hotel? A Simple Additive Weighting Method

Halal tourism or halal industry is a tourism concept that focuses on the maqosid sharia values in it which are usually divided into: Hifdz Addin (religion), Hifdz nafs (soul), Hifdz aql (reason), Hifdz nasl (offspring), and hifdz Bi'ah (environment).Indonesia was awarded the first rank in the field of the best halal tourist destinations in the world according to the Global Muslim Travel Index (GMTI) 2023 report. The method used in this research uses qualitative methods. In this qualitative method will use the SAW (Simple Additive Weighting) method commonly known as the weighted summation method. This method is carried out with the type of data here carried out qualitatively which makes two research objects namely Noor In and Harris Hotel lodging. In interviews and recording methods through the web, newspapers, and journals, the results of the above research are data on the assessment of maqasid sharia indicators in sentul area hotels. Of these two hotels consist of harris hotel and Noor In inn. We get a reverse comparison of various aspects of maqasid sharia indicators in the fields of hifdz maal and hidz nashl. The first object is the Noor-In inn which has a value of 0.8333 and explains that this value gets the highest accreditation, namely A because it has a value between 0.75 - 1. While the second object is the Harris Sentul hotel which has a value of 0.3889 and states that this value has a maqaosid sharia accreditation of C or Fair maqosid sharia because it has between 0.25 - 0.49.

Implementation of a Decision Support System with a Simple Additive Weighting Method for the Selection of Quality Bird Breeder

Indonesia is a country blessed with abundant natural resources, one of which is the diverse variety of chirping birds that captivate the attention of many. The high demand for these birds has led to a decline in the population of wild chirping birds due to increased illegal capture. To address this issue, bird breeding programs have been implemented. The selection of superior quality chirping birds will determine the offspring produced. Superior quality bird brooders can also increase the selling price of the resulting chicks. Therefore, the determination of superiorquality bird breeders is very crucial for decision makers who are related in this case are chirping bird breeders. If it is not done properly and accurately, the wrong selection of chirping birds often results in various problems. Some of the problems that arise include the results of tillers that have low quality to the difficulty of selling livestock produced tillers. Decision-making models can be used to help chirping bird breeders make decisions. The Simple Additive weighting (SAW) method is expected to be able to help overcome the problems encountered. The purpose of this study was to create a decision-making system for the selection of superior quality chirping birds. It is hoped that there will be no mistakes in the selection of chirping birds.

IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING (SAW) IN THE DECISION SUPPORT SYSTEM FOR DETERMINING THE ADMISSION OF NEW STUDENTS TO POLITEKNIK SERUYAN

The determination of new student admissions is a crucial process for every higher education institution. To enhance efficiency and objectivity in decision-making, the implementation of the Simple Additive Weighting (SAW) method has been carried out in the decision support system of Politeknik Seruyan. The SAW method is utilized to calculate and assign weights to relevant criteria in the selection of new prospective students.
 This research elaborates on the implementation process of SAW within the decision support system of Politeknik Seruyan. Data pertaining to prospective students, including entrance exam scores, academic achievements, and other relevant factors, are collected and processed using the SAW method. The outcomes of these calculations provide rankings for prospective students based on their degree of conformity with the criteria established by the polytechnic.
 The results of this research demonstrate that the use of the SAW method in the process of selecting new student admissions has improved efficiency, objectivity, and transparency in decision-making. With the existence of a SAW-based decision support system, Politeknik Seruyan can make more accurate decisions in accepting new students in accordance with the criteria and educational objectives set by the institution.
 The implementation of the SAW method in the decision support system contributes positively to enhancing the quality of new student admissions at Politeknik Seruyan, which, in turn, will impact the development of education and the improvement of student achievements in the future

Using the Simple Additive Weighting (SAW) Multi-Criteria Analysis Methodology for Selecting the Optimal Strategy for Creating a Production Alliance

The aim of the study is to adapt the method of multi-criteria analysis of alternatives SAW (simple additive weighing), as considered in both domestic and foreign publications, for the possibility of creating a production alliance of «Chumak» PJSC; to carry out an assessment of the prospects for the use of such a methodology in domestic practice; further, an identification of its strengths and weaknesses; outlining the main aspects of using strengths and minimizing weaknesses in Ukrainian business practice. The article is devoted to the issue of creation of production alliances among Ukrainian enterprises in order to overcome the consequences of russian aggression, stimulate innovative processes in the management of operational activities of enterprises and further creation of strategic alliances for mutual promotion and sale of goods and services, i. e. affiliate marketing. The methodology of multi-criteria analysis of alternatives SAW (simple additive weighing) was used stage by stage to select the optimal strategy for creating a production alliance. For this purpose, the problematic issue of advanced analysis has been identified, a system of alternatives, criteria for evaluating alternatives and a system for determining assessments of criteria based on qualitative and quantitative indicators has been formed. An integrated grading scale has been developed. A quantitative assessment of alternatives according to the proposed criteria has been carried out. The Altman model and the financial stability coefficient are applied as criteria for alternatives. A matrix of decisions has been built, its normalization has been implemented by certain weighting coefficients of criteria. Based on the calculations, a possible order of alternative options for creating a production alliance between «Chumak» PJSC and enterprises operating in the food market of Ukraine has been derived. The relevance of the problem of forming a strategic alliance is attested, given the presence of different approaches to choosing partners and the impossibility of allocating a single correct approach to determining groups of criteria without adapting to each individual industry.

Effect of microwave heating on sensory quality assessment of butterfly pea (Clitoria ternatea L.) flower using simple additive weighting

Drying of butterfly pea flowers is necessary to extend its shelf life and to use it in various functional food products, such as various types of drinks and foods, as well as natural colouring materials. Currently, the use of butterfly pea flowers in functional drinks is growing in various regions, including Indonesia. This research aims to determine butterfly pea flowers’ microwave power and drying time based on sensory analysis using the SAW (simple additive weighting) method. The hedonic test was also conducted to assess the level of preference of panellists for steeping butterfly pea flower tea based on pre-set parameters to obtain the tea preferences. Panellists perform sensory assessments determined based on a numerical scale of 1-7, where value 7 is strongly like, value 6 is like, value 5 is somewhat like, value 4 is neutral, value 3 is somewhat dislike, value 2 is dislike, and value 1 is strongly dislike. The results showed that the level of preference for alternative treatment to sensory quality, consisting of criteria of colour, flavour, taste, and aftertaste, it was known that alternative treatment with rank 1 was obtained at 180 watts microwave power treatment and drying time for 17 minutes.