SAW Method Research Articles

Spatial Data Modeling on GIS for Classification of Measles-prone Region Using Multiple Attribute Decision Making

Indonesia is a country that has a tropical climate, so that many typical tropical climate diseases emerge. This disease is caused by viruses and parasites that breed during the dry season or the rainy season. One typical tropical disease is measles. This paper discusses the geographical information system (GIS) technology by analyzing spatial data modeling to determine the classification of measles-prone areas based on immunization status coverage using the Simple Additive Weighting (SAW) and Weight Product Model (WPM) method. Some parameters are used consist of immunization status data for multiple attribute decision making (MADM), diseases preventable by immunization (PD3I), epidemic and nutritional status of infants. The SAW and WPM method in modeling spatial data analysis processes data according to the parameters to determine the scale in comparing all alternative data on the scope of classification of immunization status areas, namely: good, average, fair and poor. The test results with the Cohen's Kappa Method Consistency Test (MCT) is obtained an average coefficient of 0.41 for consistent measurements for the chosen method. It can be concluded that the two measurements using the SAW and WPM methods have a moderate for the strength of agreement category, for using in spatial data modeling on the GIS for classification of measles prone regions using MADM. Keywords: GIS, Spatial data modeling, MADM, SAW, WPM, Cohen's Kappa, Tropical diseases, Measles.

E- TRACER STUDY BASED ON EXPERT SYSTEMS (A CASE STUDY AT AMIK INDONESIA)

Tracer Study is one method used by several universities, especially in Indonesia to get feedback from alumni. The feedback obtained from these alumni is needed by the university in their efforts to improve and develop the quality and education system. The aim of this study was to develop an e-tracer study that made it easier for AMIK Indonesia's campuses to monitor their graduates and develop intelligent system-based e-tracer studies. Broadly speaking, this study uses data collection methods through literature studies, interviews and observations. While research design uses experiments because it produces products that are decision support systems. The method used to support this research is the FMADM method using the SAW method calculation and the design method used is the waterfall method, which is a systematic and partial software development approach that starts at the level and progress of the system in all analyzes, designs, codes, tests, and maintenance. From the results of the study, it can be concluded that the tracker study was built with the Codeigniter and NODE framework. JS uses supporting programming languages such as HTML, CSS, Jquery, JavaScript, JSON, AJAX, Bootstrap as media in interface design. Whereas PHP as server-side and MySQL as database. while the method used for testing the application is White Box Testing and the Black Box method.

ANALISIS DAN PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN DENGAN SIMPLE ADDITIVE WEIGHTING (SAW) PADA DINAS SOSIAL, KEPENDUDUKAN DAN PENCATATAN SIPIL PROVINSI JAMBI

There are so many programe is given by goverment to tackle proverty. One of them is Program KeluargaHarapan (PKH). But, data of beneficiery receiver is not suitable yet as something that hope. The reason is notoptimal act of determining status. Although, beneficiery receiver is not on target. Application prototypeplanner system to support final decision for PKH beneficiery receiver is used to take decision is SimpleAddictive Weighting System (SAW). It wears Use Case Diagram, Activity Diagram, and Class Diagram asmodel of system planner. Which is result assessment is done by system. That have two measurment, properor not proper. SAW Method is choosen because of this method can determine quality grade each atribute.Then, continue with rank process will do to select best alternative from a lot of alternatives. Such as; poorfamily which is include proper category based on some criterias is defineted. With that rank process,assesment will be appropriate because based on criteria grade and quality grade that determine alternative. Itwill get proper result. The result will be come holder for Social, Population, and Civil Registrationdepartment in Jambi Province. The assesment can be used to measure poor family that proper to get PKHbeneficiery. Which is this data will be given to the Ministry of Social Services of Indonesia Republic later. Itbecome proper data for goverment to give the PKH beneficiery is on the target.

INVESTIGATION OF DIGITAL RETAIL COMPANIES FINANCIAL PERFORMANCE USING MULTIPLE CRITERIA DECISION ANALYSIS / SKAITMENINĖS MAŽMENINĖS PREKYBOS ĮMONIŲ FINANSINĖS VEIKLOS TYRIMAS TAIKANT DAUGIAKRITERIUS SPRENDIMŲ ANALIZĖS METODUS

Digital retail (online retail or e-commerce) sector is continuously expanding its stake in the global economy each year. According to the statistics, online retail share of the total global retail sales takes approximately 11.9% in 2018 and is expected to reach 17.5% at the end of 2021. The same pattern of rapid growth was noticed more than 18 years ago when a burst of dot-com bubble crashed many of the internet-based online shopping companies. “Growth over profits” mentality and overestimated perception of the magnitude of online sales resulted in a superficial understanding of the business’ financial performance. Because of that, it is highly necessary to analyze and adequately evaluate the financial performance of digital retail companies. Thus, the purpose of this article is to investigate the top 4 digital retail companies’ financial performance by applying multiple criteria decision analysis (MCDA) TOPSIS and SAW methods to demonstrate that sales turnover is not the only and the prime measure to evaluate the successful company’s financial performance.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMA PROGRAM KELUARGA HARAPAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

The problem of poverty in Indonesia is the challenge facing the government from time to time, poverty is a complex problem that requires special handling and programs. In the Social and Manpower Office of Pasaman Barat Regency, especially in the field of empowerment, there is a community welfare program, namely the delivery of the Hope Family Program (PKH) assistance. In making decisions the selection of PKH recipients is time constrained because quite a lot of data that is processed or selected by employees is still done manually. The selection process that was not open resulted in several problems in the Social and Manpower Office of Pasaman Barat Regency and within the community itself. Among these problems is the delay in the distribution of expected family funds previously budgeted. The delay makes the people who need these funds constrained in handling the problems they face. This SAW method requires decision makers to determine the weight for each attribute. The total score for alternatives is obtained by summing all the results of multiplication between ratings (which can be compared across attributes). The rating of each attribute must be dimension free in the sense that it has passed the normalization process of the previous matrix. Data relating to PKH recipients is of course very necessary. To meet the needs of PKH recipients, a system is needed. The system must be able to be relied upon to process data into useful information in both routine and strategic decision making. The Application of Decision Support System Program for Family Hope Program (PKH) can help the Social and Manpower Office in determining whether a person is eligible for PKH assistance. Feasibility Results Recipients are based on predetermined criteria.

THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

Research on Supplier Evaluation in a Green Supply Chain

The supplier is considered to be attractive under green supply chain management; supplier evaluation is also confronted with a serious challenge. Based on this background, this paper studies green supplier evaluation and selection with weights unknown in hesitant fuzzy sets and presents evaluation indexes by the DEMATEL method. On the basis of the Euclidean distance, hesitancy degree is used to construct the improved type signed distance. At last, the paper calculates relative closeness to rank green suppliers by the improved TOPSIS method and compares the results of the traditional algorithm and SAW method. The result of the example shows that the algorithm has practicability and a dipartite degree.

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

New solutions and techniques for developing country policies are used under real conditions. The present study aims to propose a new approach for evaluating and ranking the European countries by using the interrelation between two groups of criteria, associated with the Human Development Index (HDI) and the World Internal Security and Police Index (WISPI). HDI and its components rank countries by value and detail the values of the components of longevity, education and income per capita. WISPI focuses on the effective rendering of security services and the outcome of rendered services. The priority of criteria is determined in the descending order of their correlation values with other group criteria. The criteria weights are set simultaneously for both groups by applying the weight balancing method WEBIRA. The methodology based on minimising sum of squared differences of the weighted sums within groups is used. Finally, the generalised criteria measuring the level of the country are calculated using the SAW method. Cluster analysis of the countries was carried out and compared with MCDM results. The study revealed that WEBIRA ranking of countries is basically consistent with the results of cluster analysis. The proposed methodology can be applied to develop the management policy of the countries, as well as to their evaluation and ranking by using various indices, criteria and procedures. The results of this research can also be used to reveal national policy choices, to point out government policy priorities.

Application of Simple Additive Weighting Method to Determine Outstanding School Principals

The principal is a teacher who is given an additional assignment to be a leader in a school, the task of the principal can regulate, control and empower the community in the surrounding area, selection of outstanding school principals, so far both the school and Kuantan Singingi District Education Office determine the outstanding headmaster does not have an application that can simplify the work in calculating the weight value to determine the principals who are pretending, the assessment carried out so far is only manual, the application of the SAW method is used to select the best alternative from a number of alternatives - each participant will be ranked from highest to lowest. The results obtained from this study are that the system built can facilitate selection, so the selection process becomes more effective, efficient and transparent.

Identification of Sundep, Leafhopper and Fungus of Paddy by Using Fuzzy SAW Method

Identification of Sundep, Leafhopper and Fungus of Paddy by Using Fuzzy SAW Method

Perbandingan Metode Saw Dan Topsis Dalam Pemilihan Tujuan Wisata Di Jawa Barat

The activities of diverse, dense flurry of making people want to refresh eliminate tired from the busy daily routine. One way is to make a tour. Determine the purpose of there desirability is not easy. Prior to the goal, first seeking information about the area to be visited, then comparing and selecting the appropriate criteria. To assist visitors in finding a tourist holiday destination then it takes a computer-based system. This system can be used for decision making for tourist visitors to search for a tourist destination. The required criteria are the location, costs, transportation, distance, time of visit, and facilities. This study compares the author Saw and Topsis method, where that method showed results perangkingan not always the same because there is a different algorithm and value weighting scale differences. The purpose of this method is to help visitors who would tour the West Java in choosing the right attractions in accordance with his wishes. The research indicates that based on the method of Saw, the code (A3) with a value of 0.80 with the tourist attractions of the Park is designated as the primary option mekarsari on attractions in Indonesia. Whereas, the calculation using Topsis method in the code (A5) Goa Buniayu to the first option with a value of 0.59.

The Fuzzy SAW Method and Weights Determined Based on Fuzzy Entropy

The paper presents a new approach to the fuzzy SAW method, which uses fuzzy entropy. It allows to identify the best alternative by the application FSAW method if decision makers use fuzzy numbers or linguistic variables. Moreover, the presented method allows to avoid subjectivity and imprecision caused by incomplete knowledge, judgments, opinions and preferences of decision makers.

Sistem Pendukung Keputusan Kelompok Untuk Menentukan Penerima AGC Award Menggunakan Metode Simple Additive Weighting dan Borda

PT. Astra International continues to develop into one of the leading group of companies in Indonesia. Currenty its manages six core business namely, automotive, financial, services, heavy equipment, mining, agro-business, infrastructure, logistics, and information techonology. In its operations can bring various impact on enviroment quality, such as the avalaibility of natural resources (water, energy and materials), waste generated in the form of solid, fluid, and air. Therefore ESR Division carry out an assessment of the subsidiary programs to minimize the impact. In this research using SAW method to support the decision making of individual decision, and Borda method to support the group decision making and to determine AGC Award recipient. The decision support system model proposed in this study has proven to solve problems that require individual or group decision-making processes.

A Study on the impact of multiple methods of the data normalization on the result of SAW, WED and TOPSIS ordering in Healthcare Multi-attributtes Decision Making Systems based on EW, ENTROPY, CRITIC and SVP weighting approaches

Objectives: To study the impact of the seven normalization methods on the results of ranking using three ranking methods and based on four objective methods. It is,furthermore, analyzes the characteristics of eighty four integrated approaches for multi-attribute decision making (MADM) problems. Methods/Statistical Analysis: Definitely, the proposed combinations of ranking approaches are developed based on the TOPSIS, the Simple Additive Weighting and Weighted Euclidian distance ranking methods and based on the equal weight, Entropy, The Criteria Importance Through Inter-criteria Correlation and Statistical variance procedure objective weighting methods, through the implementation of seven normalization techniques’ namely the Weitendorf’s, Korth’s, Nikamp’s, Unitization, Quotient Transformation (Q-T) - R, Q-T mean, and Q-T-PSK normalization methods. Absolutely, the whole proposed approaches are applied to the field of healthcare decision making in Yemen respectively. The Pearson Correlation Coefficient (PCC), Change and the overall level of change in the positions of the alternatives are used to compare the impact of the selected normalization methods on the result of ranking obtained by all ranking approaches. Findings: The result shows that the normalization formula influences the result of the ranking using both TOPSIS and SAW methods, but the level of the impact is changed by the changing of the objective method. It also, offers that the choice of normalization formula doesn’t influence the result of the ranking using WED method. In this study, high and very high numerical correlation coefficients between places in the different rankings are observed. Deferent changes in the positions, and in the overall level of change in case of particular governorates are also observed. The normalization methods are ordered by its impact on the result of the ranking for each weighting method used with each ranking one. Application: The ordering of the normalization methods by its impact on the ranking’s results obtained using SAW and TOPSIS and based on deferent types of weighting methods must be taken into consideration while solving related MADM problem. And, the ordering results of these methods in our study give some recommendations for amending this problem. Keywords: Euclidian Distance, Impact of the Data Normalization Methods, Weighted Euclidean Distance, SAW, TOPSIS

A Comparative Study of Problem Solving Methods in Decision Support Systems

Decision Support System (DSS) as one of the disciplines related to decision making both by individuals and companies in general, has been widely applied in various fields such as health, education, energy and business. There are several choices of methods related to decision support systems that have been used globally. The selection of suppliers as one of the important agendas in a company requires a decision support system so that the selected supplier is the best according to the criteria set by the company. In this study several DSS methods are used to solve supplier selection problems. In addition, this study conducted a comparison of the three methods in the DSS, namely WSM, SAW and WP in the case of supplier selection. The main contribution of this article is to compare some DSS methods that have not been studied before. As a result, there are two of the three methods that have the same sequence of results, namely the SAW and WP methods. Where in both methods the A2 alternative has the highest value of 0.875 for SAW and 0.84 for WP results. While very different results are obtained using WSM calculations.

Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC

The functioning of each traffic system depends to a great extent on the way the rail transport system operates. Taking into account the aspect of market turbulence and the dependence on adequate delivery when it comes to freight transport and traffic in accordance with a yearly Timetable in passenger traffic, transport policies are changing with time. Therefore, this document is considering the railway management models on the territory of Bosnia and Herzegovina. For the purpose of evaluating these models, a new hybrid model has been applied, i.e. the model which includes a combination of the Delphi, SWARA (Step-Wise Weight Assessment Ratio Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. In the first phase of the study, the criteria ranking was determined based on 16 expert grades used in the Delphi Method. After that, a total of 14 decision-makers determined the mutual criteria impact, which is a prerequisite for the application of the SWARA Method used to determine the relative weight values of the criteria. The third phase involves the application of the MABAC Method for evaluating and determining the most suitable variant. In addition, a sensitivity analysis involving the application of the ARAS, WASPAS, SAW and EDAS methods has been performed, thus verifying the previously obtained variant ranking.

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers.
 The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient.
 The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

Evaluation of Wastewater Treatment Performances for Municipalities by Using MCDM Methods: Case Study in Turkey

Reusing of the wastewater has a vital importance because of limited natural water resources all around the world. Recycled wastewater can be used in many areas such as agriculture, industry, cleaning etc. Treatment of wastewater is one of the important tasks of metropolitan municipalities. The aim of this study is to evaluate the performances of wastewater treatment services provided by the metropolitan municipalities in Turkey using a hybrid approach using Entropy, SAW, MOORA and TOPSIS methods. In the scope of the study, four criteria have been considered as the ratio of the municipal population served by the treatment plant to the total population, the ratio of the municipal population served by the sewerage system to the total population, treatment rate of discharged water, increase rate of treated water in treatment plants. A case study has been conducted in Turkey and the metropolitan municipalities have been ranked depending on their performance. Aydin Metropolitan Municipality as the highest municipality and Kahramanmaraş Metropolitan Municipality as the lowest municipality have been determined. In Western cities performance is high, performance goes down as it goes east.

Poverty level grouping using SAW method

Poverty is social gap problem for some people with below average income level but in Pringsewu district the poverty rate is significantly decreased so it is expected to increase the potential of Pringsewu region to be better, in increasing the potential of the region it needs a system that is expected to assist in determination of poverty level in sub district in Pringsewu by data clustering and ranking from every subdistrict in Pringsewu Regency using SAW method. Therefore, we are interested to build an application of Poverty Grouping in Pringsewu region in the form of Poverty Index of the last few years, existing data is expected to be a reference to increase the potential of the area by reducing the poverty rate every year. It is expected that the data obtained can be a reference of the government in reducing poverty level in subdistrics in Pringsewu District.

TRADISI INTELEKTUAL ISLAM DI INDONESIA ABAD VII-XXI M

The intellectual tradition of Islam evolved through three periods of classical times, medieval times and modern times. These three ages have different characteristics and methods of developing Islamic intellectual traditions, although the classical period has a strong influence on the development of Islamic intellectual traditions in later ages. This paper is put forward as an attempt to provide a proper understanding and meaning, how Islam is an integral part of the intellectual development of Muslims better known as Islamic intellectual traditions and is still going on today especially in Indonesia. Seeks to describe and demonstrate Islam has an important role in building an intellectual tradition that begins through teaching in cottages and / or boarding schools. The method put forward in this paper is descriptive method with analytical approach. The classical age contributes to the development of intellectuality by placing a growing method of teaching and education practiced from the time of Prophet Muhammad SAW methods of writing, writing and rote. The Middle Ages contributed to the emergence of institutions that helped and expanded the Islamic intellectual tradition. Modern era is a struggle of Indonesian Islamic intellectual tradition, which gave birth to two groups of young people and the elderly. Young people prioritize the importance of renewal of thought in the realm of Islamic understanding, with the method of restoring Islam in its place through the understanding of Islamic teachings that remove the taqlid side and purify the teachings of Islam
 Keywords: Islamic Intellectual Tradition Indonesia,