scholarly journals Decision Support Systems in Identifying Silungkang Songket Motifs Using the AHP Method

2020 ◽  
Author(s):  
Putri Humairoh Putri Humairoh ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Making Process ◽  
Ahp Method ◽  
Identification Process ◽  
Weight Value ◽  
Speed Up ◽  
Hierarchy Process ◽  
Proper Analysis ◽  
Process Method

Songket Silungkang is a traditional weaving product made with special tools and is the creation of weavers from the Silungkang area. Songket has various types of motifs that are currently popular in Indonesia. So that it becomes a consideration for songket enthusiasts to get information about the songket motif. In this case, a proper analysis is needed to speed up the identification process in determining the Silungkang songket motif. Therefore we need a model that can describe all computerized systems that support the decision-making process. The decision support system using the Analytical Hierarchy Process method assesses each motive with the criteria and changes in the weight value. The criteria used in identifying Silungkang songket motifs are the type of material, the shape of the motif and the color of the motif. This study produces a matrix of yield weight, with the highest value of 90.0%. So that from the final results of the calculation, it can be identified that the most popular songket Silungkang motif at the INJ Songket Store is the pucuak rabuang motif. This is useful for facilitating decision making related to the identification of Silungkang songket motive in the future

scholarly journals Sistem Pendukung Keputusan dalam Identifikasi Motif Songket Silungkang Menggunakan Metode AHP

2021 ◽  
pp. 7-12
Author(s):  
Putri Humairoh ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Decision Making Process ◽  
Identification Process ◽  
Weight Value ◽  
Speed Up ◽  
Hierarchy Process ◽  
Proper Analysis ◽  
Process Method

Songket Silungkang is a traditional weaving product made with special tools and is the creation of weavers from the Silungkang area. Songket has various types of motifs that are currently popular in Indonesia. So that it becomes a consideration for songket enthusiasts to get information about the songket motif. In this case, a proper analysis is needed to speed up the identification process in determining the Silungkang songket motif. Therefore we need a model that can describe all computerized systems that support the decision-making process. The decision support system using the Analytical Hierarchy Process method assesses each motive with the criteria and changes in the weight value. The criteria used in identifying Silungkang songket motifs are the type of material, the shape of the motif and the color of the motif. This study produces a matrix of yield weight, with the highest value of 90.0%. So that from the final results of the calculation, it can be identified that the most popular songket Silungkang motif at the INJ Songket Store is the pucuak rabuang motif. This is useful for facilitating decision making related to the identification of Silungkang songket motive in the future.

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

PERANCANGAN APLIKASI PENDUKUNG KEPUTUSAN PENENTUAN PASANGAN TERBAIK DALAM PANDANGAN ISLAM DENGAN METODE AHP

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Dwi Suci Anggraini
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Decision Making Process ◽  
Human Beings ◽  
Ahp Method ◽  
Weight Value ◽  
Hierarchy Process

Couples / soul mates have been determined by God the Almighty, humans are created in pairs and all humans must have been determined to live mate depending on the efforts of the man himself. Because of that we as human beings who want to endeavor and strive.         Therefore, a Decision Support System (DSS) is needed which can overcome problems in choosing the best partner. The method used in the Decision Support System (SPK) is the Analytical Hierarchy Process (AHP) method because it is appropriate for the decision-making process and can determine the weight value of each attribute, then proceed with a ranking process that will select the best alternative from a number of the best alternatives.                 Islam provides solutions and signs in choosing a mate, one of which is endeavor. Efforts and praying to Allah SWT in this way are good and true Decision Making.Keywords: SPK, AHP, Pair, Best

scholarly journals Decision Support System for Tourist Attractions Recommendation in Sidoarjo Using Profile Matching Method and Analitycal Hierarchy Process Method

2020 ◽  
Vol 4 (2) ◽  
pp. 215-217
Author(s):  
Yurissa Mumtaz
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Predictor Variable ◽  
Tourist Attraction ◽  
Ahp Method ◽  
Matching Method ◽  
Tourist Attractions ◽  
Profile Matching ◽  
Hierarchy Process ◽  
Process Method

The problem that is often faced by tourists is choosing a tourist attraction that suits the needs that are desired, and in accordance with the budget. This study aims to facilitate tourists in determining tourist attractions that suitable with standard criteria. This research compares the Profile Matching and AHP methods in the best process of decision making, from several articles reviewed. The Profile Matching method assumes an ideal predictor variable and fits the criteria. Meanwhile, the AHP method carries out simultaneous analysis and is mutually integrated between its parameters. The results of this research answer the needs of domestic and foreign tourists in determining the desired tourist attractions as needed.

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 Decision support system for selecting tourist attractions using fuzzy analytic hierarchy process

2021 ◽  
Vol 10 (3) ◽  
pp. 1252-1261
Author(s):  
Christa Bire ◽  
Daniel Kasse ◽  
Rio Bire
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Tourist Attractions ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.

scholarly journals Penerapan Metode AHP Dan TOPSIS Untuk Mengevaluasi Pemohon Kredit Suku Cadang Motor Suzuki (Studi Kasus : PT. Riau Jaya Cemerlang Pekanbaru)

2016 ◽  
Vol 7 (2) ◽  
pp. 115-128
Author(s):  
Mursalim Mursalim ◽  
Mardainis Mardainis
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Economic Value ◽  
Decision Making Process ◽  
Requirements Gathering ◽  
Long Time ◽  
Methods Analytical ◽  
Hierarchy Process

Abstrak- Dalam pemberian kredit kepada pelanggan banyak hal perlu dipertimbangkan agar keputusan yang diambil tidak salah. Biasanya dilakukan pengumpulan beberapa persyaratan administrasi serta melakukan penilaian terhadap jaminan seperti aset yang dimiliki, nilai ekonomi dan beberapa pertimbangan lainnya, sehingga proses pengambilan keputusan butuh waktu lama. Dalam penelitian ini dibangun suatu sistem pendukung keputusan untuk menentukan pemberian kredit kepada konsumen dengan menerapkan dua metode yaitu Analytical Hierarchy Process (AHP). Kata kunci: AHP, Kredit, Suku Cadang Abstract- In granting credit to customers a lot of things need to be considered so that the decisions are not wrong. Usually done some administrative requirements gathering and assessment of collateral as assets, economic value and some other considerations, so that the decision-making process takes a long time. In this study constructed a decision support system for determining lending to consumers by applying two methods: Analytical Hierarchy Process (AHP. Keywords: AHP, Credit, Parts.

scholarly journals Estimating Suitable Starch Extraction from Mango Seeds Using Analytical Hierarchy Process (AHP) Method

2020 ◽  
Vol 1010 ◽  
pp. 471-476
Author(s):  
Nur'Aishah Ahmad Shahrim ◽  
Norshahida Sariffudin ◽  
Hafizah Hanim Mohd Zaki ◽  
Ahmad Zahirani Ahmad Azhar
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Extraction Method ◽  
Extraction Methods ◽  
Decision Making Process ◽  
Distillation Method ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Mango Seed ◽  
Hierarchy Process

The mango seed was extracted to starch via distillation, alkaline, sedimentation and centrifugation methods. Based on the analysis, different starch extraction methods resulted in different proximate composition, physicochemical, morphological, structural, functional and thermal properties of starch. As such, it is necessary to choose a suitable starch extraction method to fabricate starch-based film for packaging application. Therefore, in this study, Analytic Hierarchy Process (AHP) method was applied for performing the decision-making process. Based on the AHP method, it was found that, the best alternative for starch-based films is distillation method.

scholarly journals Implementation of AHP and SAW Methods for Optimization of Decision Recommendations

2021 ◽  
Vol 4 (1) ◽  
pp. 254-265
Author(s):  
Deborah Kurniawati ◽  
Febri Nova Lenti ◽  
Rudi Wahyu Nugroho
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Decision Makers ◽  
Ahp Method ◽  
Basic Difference ◽  
Criteria Weights ◽  
The Difference ◽  
Hierarchy Process ◽  
Final Calculation

Differences in interest in decision making are one of the things that must be facilitated in decision support applications. The most basic difference of interest in decision making is the difference in the weight of the importance of each criterion used. Each decision maker has their own interest in the criteria used. If these differences can be facilitated properly, the resulting decision recommendations can be optimal, in this case more in line with the interests of the users. The model is designed using the Analytical Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods, using 5 criteria. The final result of the AHP method is in the form of criteria weights that are in accordance with the interests of decision makers and in accordance with the consistency of the comparisons that have been given. The resulting weight will be used in the final calculation of SAW, namely in the calculation of alternative weights. By using AHP, the weight of the criteria becomes more subjective according to the interests of decision makers. Thus, the resulting alternative recommendations become more optimal because they are in accordance with the needs of decision makers.

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