scholarly journals PEMILIHAN DISTRIBUTOR OLEH CV. SINAR MATAHARI PARIAMAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS DAN GOAL PROGRAMMING

2017 ◽  
Vol 6 (4) ◽  
pp. 64
Author(s):  
Fitria Sarah ◽  
Dodi Devianto ◽  
Bukti Ginting
Keyword(s):  
Goal Programming ◽  
Analytical Hierarchy Process ◽  
Consistency Ratio ◽  
Hierarchy Process

Abstrak. Dalam perindustrian hubungan antara produsen dan konsumen tidak bisadipisahkan dengan distributor karena distributor memiliki tugas menyalurkan produkyang dihasilkan produsen kepada konsumen. Jika peran distributor kurang optimal makaproses pendistribusian barang kepada konsumen pun kurang maksimal. Penelitian inibertujuan untuk menyelesaikan kasus pemilihan distributor dengan studi kasus di CVSinar Matahari Pariaman Sumatera Barat. Metode yang digunakan untuk permasalahanini yaitu metode Analytical Hierarchy Process untuk pembobotan dan metode Goal pro-gramming untuk optimasi. Kriteria dan alternatif distributor ditentukan oleh CV SinarMatahari dimana terdapat empat kriteria dan lima alternatif distributor dengan bobotkriteria Permodalan (0.066), Kelayakan Gudang (0.548), Armada Pengiriman (0.151)dan Tenaga Kerja (0.236) dengan nilai Consistency Ratio antarkriteria dan semua al-ternatif 0.1 . Dari lima alternatif pilihan tersebut diperoleh 1 distributor yang palingdirekomendasikan yaitu Kandidat 3 disusul dengan prioritas rekomendasi distributorlainnya yaitu Kandidat 4, 2, 1 dan 5.Kata Kunci: Analytical hierarchy process, distributor, Goal programming

scholarly journals Analisis Pemilihan Calon Penerima Beasiswa Daerah Dengan Metode Analytical Hierarchy Process Dan Profile Matching (Studi Kasus:

2018 ◽  
Vol 7 (2) ◽  
pp. 23
Author(s):  
Lukman Bachtiar ◽  
Kusrini Kusrini
Keyword(s):  
Analytical Hierarchy Process ◽  
Consistency Ratio ◽  
Profile Matching ◽  
Secondary Factor ◽  
Hierarchy Process

Sistem pendukung keputusan (SPK) dengan metode Analytical Hierarchy Process (AHP) menguji nilai Consistency Ratio (CR) menentukan kelayakan tatanan perbandingan derajat kepentingan tiap-tiap kriteria. Pemrosesan metode AHP ini sampai menghasilkan nilai Prioritas tiap-tiap persyaratan. Jika nilai CR telah layak maka dapat dilanjutkan ke tahap pencarian solusi dengan metode Profile Matching (PM) untuk menyeleksi calon penerima beasiswa. Nilai Prioritas tiap-tiap persyaratan dari metode AHP kemudian dikelompokkan oleh metode PM ke dalam grup Core Factor dan grup Secondary Factor berdasarkan urutan descending nilai Prioritas. SPK ini dipakai oleh bagian Kemahasiswaan untuk menyeleksi para mahasiswa untuk diusulkan ke Bagian Kesra kabupaten dalam program Beasiswa Gerbang Mentaya. Keluaran pertama SPK berupa rincian perhitungan AHP mendapatkan nilai CR dengan konfirmasi apakah sudah dapat melakukan pencarian solusi ataukah masih harus menata kembali tatanan nilai-nilai perbandingan derajat kepentingan tiap-tiap persyaratan. Keluaran kedua memuat rincian pemrosesan PM menilai persyaratan para mahasiswa. Keluaran terakhir berupa daftar para mahasiswa yang benar-benar layak diusulkan menerima beasiswa berdasarkan seleksi penilaian, seleksi status warga tetap kabupaten, dan status tidak sedang menerima beasiswa dari pihak lain, yang kemudian diusulkan oleh bagian Kemahasiswaan kepada Bagian Kesra Kabupaten Kotawaringin Timur.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JENIS TANAMAN PANGAN BERDASARKAN KANDUNGAN TANAH MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DENGAN ALGORITMA GENETIKA

Compiler ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Yuliani Indrianingsih ◽  
Winda Susyanti Naibaho
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Test Results ◽  
Consistency Ratio ◽  
Hierarchy Process

Samosir regency is a from North Sumatera province which dominantly people is live on agriculture. The most of the farmers using autodidact learning to determining the types of plants that will be process the appropriate with their land, where farmers just learn from their experiences and exchange opinion with another farmers. Based of the problem, the system will be built by Analytical Hierarchy Process (AHP) with Genetic Algorithm. The result of the testing from method Analytical Hierarchy Process (AHP) obtained result with consistency ratio values < 0,1, which is -0,5936 while the result of the testing from Genetic Algorithm obtained value of the fitness is 157,25. Based on the test results, it can be concluded that the method Analytical Hierarchy Process (AHP) obtained the result more consistent with the value of consistency ratio should be < 0,1, so it will be easier to making decision, while on the analysis of Genetic Algorithm, obtained result are probabilistic as always having random process, so that decision making can not be consistent. So, Decision Support System to determination of plants based by contents of soil which are good and suitable is method Analytical Hierarchy Process (AHP).

scholarly journals Proposed Method for Supplier Selection

2020 ◽  
Vol 13 ◽  
pp. 376-394
Author(s):  
Agus Ristono ◽  
Tri Wahyuningsih ◽  
Eko Junianto
Keyword(s):  
Network Model ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Pairwise Comparison ◽  
Pairwise Comparisons ◽  
Chain Process ◽  
Ahp Method ◽  
Pairwise Comparison Matrix ◽  
Consistency Ratio ◽  
Hierarchy Process

The use of the Analytical Hierarchy Process (AHP) is frequent in supplier selection. First, AHP is a pairwise comparison between criteria. If the pairwise comparisons are inconsistent, the result is invalid. Thus, the process of comparing criteria must be repeated continuously until valid results are obtained. This process takes time and costs so it is considered inefficient. This research proposes the application of the Hamilton chain process into the pairwise comparison matrix. One criterion is symbolized as a knot, while the arc is symbolized as the pairwise comparison value between the two nodes or the connected criterion. In the network model of the AHP method, each node is connected to all other nodes without exception. Whereas in the proposed method, each criterion or node is compared only once. That said, avoiding inconsistencies can be made. The consistency ratio result of the proposed method is found to be consistent

scholarly journals Selection of an optimal method for the preparation of dual loaded flavono polymeric nanoparticle using analytical hierarchy process

2014 ◽  
Vol 3 (4) ◽  
pp. 247-253 ◽  
Author(s):  
Senthil Kumar Chinnamaruthu ◽  
Mohan Sellappan
Keyword(s):  
Analytical Hierarchy Process ◽  
Polymeric Nanoparticles ◽  
Pharmaceutical Journal ◽  
Relative Importance ◽  
Optimal Method ◽  
Consistency Ratio ◽  
Comparison Matrix ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Pair Wise Comparison Matrix

In this study, analytical hierarchy process was used to select an optimal method for the preparation of dual loaded flavono polymeric nanoparticles. Analytical hierarchy process involves structuring multiple choice criteria into a hierarchy, assessing the relative importance of criteria, comparing alternatives for each criterion and determining an overall ranking of the alternatives. Hierarchy model was developed with the goal in the first level, 10 criteria in the second level and methods for the preparation of polymeric nanoparticles in the third level. To assess the relative importance of criteria, all criteria were compared with each other using Saaty’s scale. To compare the methods, all the methods for the preparation of polymeric nanoparticles were compared with each other for each criterion using Saaty’s scale, which leads to the formation of pair-wise comparison matrixes and consistency ratio was calculated for the each pair-wise comparison matrix. The study result showed that the consistency ratio of each pair-wise comparison matrix were well within acceptable limits. Of 10 criteria, reproducible results received the maximum overall priority weight followed by desirable size. Of 10 methods, nanoprecipitation method received the maximum overall priority weight followed by supercritical fluid technology. Analytical hierarchy process has identified reproducible results as criteria preference and nanoprecipitation as an optimal method for the preparation of dual loaded flavono polymeric nanoparticles. The study concludes that the analytical hierarchy process has played a vital role in selecting an optimal method for the preparation of dual loaded flavono polymeric nanoparticles.DOI: http://dx.doi.org/10.3329/icpj.v3i4.18264 International Current Pharmaceutical Journal, March 2014, 3(4): 247-253 

scholarly journals Pengembangan Critical Success Factor (CSF) untuk Menunjang Kinerja Pejabat Pembuat Komitmen (PPK) dalam Pembangunan Jembatan Ketapang di Banyuwangi

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Tugiman Tugiman ◽  
Bambang Syairudin
Keyword(s):  
Analytical Hierarchy Process ◽  
High Technology ◽  
Success Factor ◽  
Successful Implementation ◽  
Critical Success Factor ◽  
Consistency Ratio ◽  
Complex Problems ◽  
Critical Success ◽  
Hierarchy Process

Bridge Project is a very complex work with high technology. In the project’s execution there are to many problem, such as delays of implementation, overpayment and other failures. It is necessary to develop of critical success factor (CSF) to support the performance of committing officer (PPK) in the execution of it’s duties and responsibilities in the implementation of the bridge project. The purpose of this study to identify the factors that are relevant to get an idea of the perception of CSF. The method used to solve complex problems in this study using analytical hierarchy process (AHP).The results of this study, the factors that affected the successful implementation of the bridge project, is the ability of the PPK in making self-estimated price (HPS) with the value (0,038), the ability of consultants to assist and provide guidance to the contractor in the licensing value ratio consistency (0,002) and the ability contractor in making the first project handover (PHO) value consistency ratio (0.001). The conclusion is that three factors are veryaffected to support the performance of committing officer (PPK) in the execution of bridge project.

scholarly journals A Novel Approach Integrating Intuitionistic Fuzzy Analytical Hierarchy Process and Goal Programming for Chickpea Cultivar Selection under Stress Conditions

Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1288
Author(s):  
Ilknur Karacan ◽  
Ozlem Senvar ◽  
Ozlem Arslan ◽  
Yasemin Ekmekçi ◽  
Serol Bulkan
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytical Hierarchy Process ◽  
Generic Structure ◽  
Intuitionistic Fuzzy ◽  
Novel Approach ◽  
Cultivar Selection ◽  
Hierarchy Process ◽  
Chickpea Cultivars

Chickpea (Cicer arietinum L.) is a quite high nutrient and widespread legume that is consumed globally. Similar to many plants, chickpea is sensitive to environmental stresses. The major goal of the breeders is to achieve the most tolerant cultivars. This study aims to determine the tolerance level of chickpea cultivars against cold and drought stresses. The cultivars in the scope of this study are the ones that are officially identified and grown in Turkey. Ranking alternatives according to multiple criteria is difficult and requires a systematic approach. Thus, a coherent multi criteria decision making (MCDM) methodology is proposed in order to ease the ranking process. The methodology includes integration of intuitionistic fuzzy analytical hierarchy process (IF-AHP) with group decision making (GDM) and goal programming (GP). This integration presents a robust ranking according to criteria that are appraised by talented experts. Applying the methodology to the data, results in the order of chickpea cultivars with regard to their cumulative tolerance to cold and drought stresses. Diyar 95 spearheads this list with its utmost performance. The main contribution of this study is the proposition of the powerful MCDM approach with systematic procedure for the ranking process of cultivars. The proposed methodology has a generic structure that can be applied to various stress problems for different plants.

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