scholarly journals Implementation of a fuzzy decision support system for selection of hand tractor assembly suppliers

2022 ◽  
pp. 44-52
Author(s):  
Denny Utomo ◽  
Pratikto Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
Fuzzy Method ◽  
Selection Of

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order. A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system

scholarly journals Sistem Pendukung Keputusan Pemilihan Tanaman Obat untuk berbagai Macam Penyakit Menggunakan Metoda FUZZY di Toko Miswar Flora (Studi Kasus : Penyakit Demam)

2019 ◽  
Vol 11 (2) ◽  
pp. 109
Author(s):  
Dian Gustina ◽  
Karno Diantoro
Keyword(s):  
Decision Support ◽  
Medicinal Plants ◽  
Decision Support System ◽  
Dengue Fever ◽  
Support System ◽  
Identification Problems ◽  
Fuzzy Method ◽  
The Right ◽  
Existing Data ◽  
Selection Of

Dengue Fever is a disease that often attacks the community. Sufferers of Dengue Fever are increasing every year. In this case natural treatments are still widely found drugs that can cure Dengue Fever and Typhoid Fever (tipes), to produce which medicinal plants are good, and examples according to Dengue Fever and Typhoid disease (typhus) still experience trouble. To overcome the selection of the right medicinal plants, a decision support system was created using Fuzzy Logic, Fuzzy Mamdani using Matlab system test aids. The method used in decision making is the fuzzy method. The method is because the fuzzy method can be used in making multi-criteria decisions and quite well in solving identification problems that require many criteria. On the results of testing existing data obtained data by comparison between data and processes in the matlab application, the valid level of application testing is 94.4%. Based on the results of the test carried out in this study, the Decision Support System is expected to help the community to determine the symptoms that arise so that it can be known about the fever between dengue fever and typhoid (typhus) so that the selection of medicinal plants is appropriate and can be used.

scholarly journals Preliminary Study of Web Based Decision Support System to Select Manufacturing Industry Suppliers

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Denny Trias Utomo ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Complex Problem ◽  
Web Based ◽  
Management Framework ◽  
Artificial Intelligence Technology ◽  
Selection Of

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.

scholarly journals Analisis Metode Analytic Hierarchy Process Dalam Sistem Pendukung Keputusan Pemilihan Taruna Berprestasi

2021 ◽  
Vol 5 (1) ◽  
pp. 344
Author(s):  
Lisda Juliana Pangaribuan ◽  
Tiara Sylvia ◽  
Liber Tommy Hutabarat
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Language Proficiency ◽  
Support System ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
High Achieving Students ◽  
Hierarchy Process ◽  
Selection Of

Process of selecting outstanding cadets is a multi-criteria problem, so get objectively achieving cadets, a decision support system with multiple criteria is needed. As an appreciation for achievement, a few universities provide scholarships for high achieving students. However, a few universities choose outstanding students based only on GPA. This study aims to analyze the application of the Analytic Hierarchy Process (AHP) method in the Decision Support System for the selection of cadets so that objectively achieving candidates can be determined. Because the number of prospective cadets with many achievements, Random Index (IR) value is obtained from IR table > 15. This study uses 4 criteria, namely the GPA criteria with eigenvectors = 0.111, Scientific works with eigenvectors = 0.563, extracurricular (Achievement) with eigen vector = 0.246 Foreign language proficiency with eigenvector = 0.08. From the research results obtained the value of CR = -0,987 <= 0.1, then the value of the comparison criteria is consistent. The results showed that there were differences in the ranking of outstanding cadets at the Medan Aviation Polytechnic according to the GPA and the AHP method

scholarly journals Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier

2020 ◽  
Vol 18 (2) ◽  
pp. 63
Author(s):  
Bayu Aji Setiyawan ◽  
Sri Siswanti ◽  
Muhammad Hasbi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Ahp Method ◽  
Validity Test ◽  
Application Program ◽  
Hierarchy Process ◽  
Selection Of

Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is useful for the selection of suppliers in Sukoharjo using the method of Analyitychal Hierarchy Process (AHP) and Simple Multi Attribute Rating Technique (SMART). Where AHP method to calculate the weight of the criteria and SMART method to calculate the supplier's alignment. With testing black box system is already running according to the function and for the results of the validity test get the test value results in the category very good with a percentage of 80%.

scholarly journals Implementasi Metode ANP-PROMETHEE Untuk Pemilihan Supplier (Studi Kasus PT. Lamongan Marine Industry)

2020 ◽  
Vol 10 (1) ◽  
pp. 36-45
Author(s):  
Mahad Wicaksono ◽  
Bayu Surarso ◽  
Farikhin Farikhin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Significant Influence ◽  
Supplier Selection ◽  
Raw Materials ◽  
Final Outcome ◽  
Promethee Method ◽  
Alternative Ranking

The selection of suppliers is essential to minimize the cost of procuring raw materials for production. This research is important to do in order to increase company profits and ensure the smooth production process. This study aims to select suppliers of shipbuilding raw materials of PT. LMI based on the best ranking order using the ANP-PROMETHEE method implemented in a decision support system. The variables used are 16 sub criteria and 6 alternatives. The ANP-PROMETHEE method is used because of its advantages in handling multi-criteria assessment based on subjective assumptions from decision makers. Stages of the study began with the ANP method to get the importance of weight then proceed to the calculation with the PROMETHEE method to get an alternative ranking. The results of this study is an application as a Decision Support System (DSS) that can help make supplier selection based on predetermined criteria. From the results of the study it was concluded that the ANP-PROMETHEE method can be implemented and is the right solution for supplier selection, ANP handles the problem of multiple objective decision making so that objectivity is maintained, while PROMETHEE handles the multi attribute decision making problem. Other conclusions are obtained that the PROMETHEE calculation has a more significant influence in determining the final outcome of an alternative ranking than the ANP. An input of ANP value is needed with a long number interval so that the results of the calculation of the Consistency Ratio (CR) approach the CR threshold (0.1) so that the ANP has a significant influence in determining the final outcome of an alternative ranking. The CR number that was tested was 0.0629 and proved unable to change the alternative ranking final results, when the CR number that was tested was 0.0993, it was proven to be able to change the alternative ranking final results.

scholarly journals FUZZY ANALYTICAL HIERARCHY PROCESS TOPSIS UNTUK SELEKSI PADA ANGGOTA PASKIBRAKA

2016 ◽  
Vol 3 (2) ◽  
pp. 156
Author(s):  
Jhondy Baharsyah ◽  
Muliadi Muliadi ◽  
Dwi Kartini
Keyword(s):  
High School Students ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Ahp ◽  
Assessment Process ◽  
Topsis Method ◽  
School Students ◽  
Team Members ◽  
Selection Of

<p align="center"><strong>Abstract</strong></p><p><em>Every year Indonesia to conduct the selection of students and high school students and above to be representative of their school as troops heritage flag raisers. During the assessment process for the selection of candidates for members Paskibraka done manually on paper and separate between the assessment criteria for the other criteria, then the assessment results are stored in the form of an excel file. To facilitate the assessment process then takes a decision support system for the selection of candidates for members Paskibraka by applying Fuzzy AHP TOPSIS. Fuzzy AHP TOPSIS method is a convenient method to solve the problem of multi-criteria taking into account the values of the existing criteria. Thus the necessary decision support system using Fuzzy AHP TOPSIS method, in order to help provide recommendations for the decision of selectors prospective team members Paskibraka.</em></p><p><strong><em>Keywords</em></strong><strong><em> </em></strong><em>: Fuzzy AHP TOPSIS, Decision Support Systems, Selection</em></p><p><em><br /></em></p><p align="center"><strong>Abstrak</strong></p><p><em>Setiap tahun indonesia melakukan seleksi siswa dan siswi sekolah menengah keatas untuk menjadi perwakilan sekolah mereka sebagai pasukan pengibar bendera pusaka (paskibraka). Selama ini proses penilaian untuk seleksi calon anggota paskibraka dilakukan secara manual di atas kertas dan terpisah antara penilaian untuk kriteria yang satu dengan kriteria yang lainnya, kemudian hasil penilaian tersebut disimpan dalam bentuk file excel. Untuk mempermudah proses penilaian tersebut maka dibutuhkan suatu sistem pendukung keputusan untuk seleksi calon anggota paskibraka dengan menerapkan metode Fuzzy AHP Topsis. Metode Fuzzy AHP Topsis merupakan salah satu metode yang mudah digunakan untuk menyelesaikan masalah multi kriteria dengan memperhitungkan nilai-nilai dari kriteria yang ada. Maka dari itu diperlukan sistem pendukung keputusan menggunakan metode Fuzzy AHP Topsis, supaya dapat membantu memberikan rekomendasi keputusan untuk tim penyeleksi calon anggota paskibraka.</em></p><p><strong><em>Kata kunci</em></strong><em> : </em><em>Fuzzy AHP Topsis, Sistem Pendukung Keputusan, Seleksi</em></p>

scholarly journals DECISION SUPPORT SYSTEM SELECTION OF THE BEST CITILINK AGENT CALL CENTER USING THE FUZZY AHP METHOD (Analytical Hierarchy Process)

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
M. MAHAPUTRA HIDAYAT ◽  
SYARIFUL ALIM ◽  
DHANU BUDI PANGESTU
Keyword(s):  
Decision Support ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Call Center ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
System Selection ◽  
Hierarchy Process ◽  
Selection Of

For the selection of employees, there are usually many factors in fulfilling the assessment in order to get a maximum target. Especially in the field of call centers, it is required to have qualified skills which can solve problems complained of by customers. So that as a call center who receives incoming calls or can be called inbound calls, it must be the key to solving problems and be able to convey good suggestions. However, to get the value of the agent so that its performance is good, there are parameters that must be achieved, namely acd call, acd time, aux time, available time, staffed time and agent skill. best. By doing this, the monitoring system is very easy and more efficient to find out which agents are underperforming or agents who have reached the performance target. For this reason, an application with a case study was created in order to achieve the maximum target. This application will greatly help the team, namely Teamleader, Taber, Spv, Manager as they play an important role in evaluating agents in their performance.

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