scholarly journals Sistem Pendukung Keputusan Pemilihan Atlet Panahan Menggunakan Metode Analitycal Hierarchy Process Berbasis Web

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Eka Bayu Bimantara ◽  
Arief Budiman ◽  
Pradityo Utomo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Test Results ◽  
Priority Vector ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

Decision Support System is a system was used to help getting making decisions on a problem, such as  selecting students in  the archery sports that will be face to a championship event such as SEA GAMES (South East Games). In Decision Support System there are many methods that can be used, one of them is Analitycal Hierarchy Process method. Analitycal Hierarchy Process method is one of the more efficient decision-making methods because the data is very detailed, all the criteria and alternatives will be compared one by one. The calculation used to solve a problem uses multiplication to relate the preference value, where the value for each criteria and alternative must be searched for eigen / priority vector first, after it is proved consistency using RI table (ratio index), if the result of verification is less than 10% (0.1) then it is consistent and the calculation can be continued, but if the verification result is more than 10% (0.1) then the calculation is considered inconsistent and needs to be repeated from the beginning. This support system uses a web base, where the data entered will be saved into the MySQL database. The test results of the Student Selection Selection Decision Support System Using Analitycal Hierarchy Process Method Based Web get results as expected on the Black Box. So it can be concluded an accurate percentage of system success of 100%.Keywords : Decision Support System, Black Box, Analitycal Hierarchy Process, The Selection Of  Athlete.

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 Application of Analytical Hierarchy Process Method in Laptop Selection

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1603-1607
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Ahp Method ◽  
Hewlett Packard ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

The process of selecting a laptop must be based on the capabilities and needs of the buyer. Buyers are faced with a large selection of laptop brands with various specifications, based on that we can make a decision support system aimed to help buyers select a laptop that fits the criteria of Style, Reability and Price, and takes alternatives Samsung, HP and Lenovo. This study used Analytical Hierarchy Process (AHP) method. Obtained results from Samsung, HP (Hewlett-Packard) and Lenovo.

scholarly journals Design of Decision Support System Selection of Beach Tourism Object in GunungKidul using Fuzzy AHP Method

2018 ◽  
Vol 6 (2) ◽  
pp. 12
Author(s):  
Yudi Istianto ◽  
Bambang Sugiantoro
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytical Hierarchy Process ◽  
Beach Tourism ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

The tourism industry is currently one of the important assessments for a certain region. Gunungkidul has a lot of of beach tourism potentials until visitors are confused to choose the right beach. The purpose of this research is to analyze and apply Fuzzy Analytical Hierarchy Process method in calculating the selection of beach tourism object in Gunungkidul with eight main criteria into a website.Multi Criteria Decision Making (MCDM) is a decision-making method to establish the best alternative of a number of alternatives based on several criteria that will be considered. One method of MCDM is the Fuzzy Analytical Hierarchy Process method. Fuzzy Analytical Hierarchy Process is a method of developing Analytical Hierarchy Process (AHP), which can describe unclear decisions and minimize uncertainty on AHP. Fuzzy approach, especially triangular fuzzy number to AHP scale, is expected to minimize uncertainty so that expected result was obtained more accurately.The decision support system for choosing a beach resort in Gunungkidul has been successfully built by applying the Fuzzy Analytical Hierarchy Process method. The calculation of Fuzzy Analytical Hierarchy Process method with the same computer result with manual calculation. The testing system was done using Black Box method by testing Alpha and Betha. From the results of system testing, it was known that the average result of the overall function score was 104 which was on rating scale 97.51 - 120 (Very Good).

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

The Decision Support System in Selecting The Characteristics of Coffee By Using Analytic Hierarcy Process Method

2020 ◽  
Vol 6 (2) ◽  
pp. 60-63
Author(s):  
Novrini Hasti ◽  
Riswan Fitriyandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Adequate Understanding ◽  
The Common ◽  
Hierarchy Process ◽  
Process Method

This study is to determine whether the characteristics of coffee flavor can be implemented into a decision support system. In this study, the problem is the difficulty in finding coffee experts with adequate understanding and knowledge of coffee. The purpose is to implement Analytic Hierarchy Process (AHP) method to determine the characteristics of coffee flavor and to transfer the knowledge about the taste of coffee to coffee lovers. The expected results are to assist in making a decision support system application in selecting the characteristics of coffee, so that it can provide the advice to the common consumers who want to enjoy and the knowledge about the coffee itself as well.

scholarly journals Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Muhammad L O Mardin ◽  
Achamad Fuad ◽  
Hairil K Sirajuddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Utility Theory ◽  
Selection Process ◽  
Housing Prices ◽  
Multi Attribute Utility Theory ◽  
Selection Decision ◽  
The City ◽  
Selection Of

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

scholarly journals Metode Analitycal Hierarchy Process (AHP) Untuk Penilaian Karyawan Terbaik Pada DTPeduli Bekasi

2019 ◽  
Vol 7 (1) ◽  
pp. 79-90
Author(s):  
Irnawati Rasyid ◽  
Heri Kuswara ◽  
Anna Mukhayaroh
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ahp Method ◽  
Ability To Work ◽  
Weight Value ◽  
Hierarchy Process ◽  
Process Method ◽  
Work Responsibility

Abstract   In the Assessment of Best Employees, DTPeduli Bekasi still uses a system whose criteria are still not clear in its value weighting and are still based on estimates from the leadership of the company. Moreover, the best employee assessment can be used as a reference for giving rewards / bonuses to employees. Therefore, a decision support system is needed for the process of selecting the best employees. This decision support system, can determine the calculated value of all criteria. This system uses the Analitycal Hierarchy Process (AHP) method where this method is a method that can solve the problem of decision making based on many criteria. The DTPeduli Bekasi study has 13 criteria, namely Loyalty, Ability to work, Responsibility, Obedience, Honesty, Cooperation, Work Initiative, Communication, Discipline and attendance, and Appearance can be collaborated using the Analitycal Hierarchy Process method so that the linkages between criteria make the process of appraising employees best becomes easy.   Keywords: AHP, Criteria, Weight Value and Best Employee Assessment   Abstrak   Dalam Penilaian Karyawan Terbaik DTPeduli Bekasi masih meggunakan sistem yang kriterianya masih belum jelas pembobotan nilainya dan masih berdasarkan perkiraan dari pimpinan perusahaan. Terlebih lagi penilaian karyawan terbaik bisa digunakan sebagai acuan untuk pemberian reward/bonus kepada karyawan. Oleh karena itu diperlukan sistem pendukung keputusan untuk proses pemilihan karyawan terbaik tersebut. Sistem pendukung keputusan ini, dapat menentukan nilai perhitung terhadap semua kriteria. Sistem ini menggunakan metode Analitycal Hierarchy Process (AHP) dimana metode ini merupakan metode yang dapat menyelesaikan masalah pengambilan keputusan berdasarkan banyak kriteria. Pada studi DTPeduli Bekasi memiliki 13 kriteria yaitu Kesetiaan, Kemampuan akan pekerjaan, Tanggung jawab, Ketaatan, Kejujuran, Kerja sama, Inisiatif kerja, Komunikasi, Disiplin dan kehadiran, dan Penampilan dapat dikolaborasikan menggunakan metode Analitycal Hierarchy Process sehingga keterkaitan antara kriteria menjadikan proses penilaian karyawan terbaik menjadi mudah.   Kata kunci: AHP, Kriteria, Nilai Bobot dan Penilaian Karyawan Terbaik

scholarly journals Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

2018 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
Razqa Lathif Pradana ◽  
Dwi Purwanti ◽  
Arif Arfriandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic System ◽  
National Level ◽  
Black Box ◽  
Black Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

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