scholarly journals Sistem Pendukung Keputusan Untuk Menentukan Pemenang Tender Kontraktor Menggunakan Metode AHP (Studi Kasus Di Dinas Pekerjaan Umum Kabupaten Agam)

2016 ◽  
Vol 1 (2) ◽  
pp. 169
Author(s):  
Romi Hardiyanto ◽  
Rometdo Muzawi
Keyword(s):  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Decision Support Systems ◽  
Support Systems ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Data Analytic

Instisari - Pengambilan keputusan adalah tindakan memilih strategi bahwa seseorang percaya dalam memberikan  solusi  terbaik  pada  sesuatu  .  Tujuannya  adalah  untuk  membantu  seseorang  untuk membuat keputusan , dan dapat memberikan dukungan untuk pertimbangan . Untuk itu diperlukan suatu sistem pendukung keputusan dalam Sistem disebut Decision Support ( DSS ) , yang merupakan sistem informasi yang menyediakan informasi , pemodelan , dan memanipulasi data , Analytic Hierarchy Process ( AHP ) telah menjadi alat pengambilan keputusan yang paling banyak digunakan dalam berbagai bidang seperti perencanaan , memilih lokasi alternatif yang baik , sumber daya , menyelesaikan konflik , optimasi dan lain-lain . Kata Kunci  -  Decision Support Systems (DSS), AHP Methods, Alternative, Criteria, PHP, MySql

scholarly journals A multi-criteria assessment of decision support systems in educational environments

2021 ◽  
Vol 22 (2) ◽  
pp. 985
Author(s):  
Amjad Alowaigl ◽  
Khalil H. A. Al-Shqeerat ◽  
Mohammed Hadwan
Keyword(s):  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Decision Support Systems ◽  
Support Systems ◽  
Educational Environment ◽  
Analytic Hierarchy ◽  
Educational Environments ◽  
The Analytic Hierarchy Process ◽  
Past Experiences ◽  
Hierarchy Process

<span>Decision support systems (DSS) are useful business intelligence (BI) tools as they help managers in large organizations make the best out of many decisions. Decisions are based on various types of raw data, models, documents, knowledge, and past experiences. This paper examines numerous criteria of decision support systems in the educational environment. Two effective methods were discovered and applied in this research, the analytic hierarchy process (AHP) and simple multi-attribute rating technique (SMART). These methods were selected due to their abilities to deal with complex decisional environments in general and widely used in practice for the educational environment in specific. The performance of methods is compared using two datasets called xApi-Education and IPEDS datasets. The obtained results based on the measurement of space complexity showed the level of convergence and similarity between these two methods. However, the experiments show that the Simple Multi-Attribute Rating Technique outperformed the analytic hierarchy process in terms of accuracy, deviation, and time complexity measurement.</span>

scholarly journals Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ramzi Shawahna
Keyword(s):  
Decision Support ◽  
Electronic Health Records ◽  
Analytic Hierarchy Process ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Analytic Hierarchy ◽  
Health Records ◽  
Hierarchy Process

Abstract Background Electronic health records (EHRs) with embedded clinical decision support systems (CDSSs) have the potential to improve healthcare delivery. This study was conducted to explore merits, features, and desiderata to be considered when planning for, designing, developing, implementing, piloting, evaluating, maintaining, upgrading, and/or using EHRs with CDSSs. Methods A mixed-method combining the Delphi technique and Analytic Hierarchy Process was used. Potentially important items were collected after a thorough search of the literature and from interviews with key contact experts (n = 19). Opinions and views of the 76 panelists on the use of EHRs were also explored. Iterative Delphi rounds were conducted to achieve consensus on 122 potentially important items by a panel of 76 participants. Items on which consensus was achieved were ranked in the order of their importance using the Analytic Hierarchy Process. Results Of the 122 potentially important items presented to the panelists in the Delphi rounds, consensus was achieved on 110 (90.2%) items. Of these, 16 (14.5%) items were related to the demographic characteristics of the patient, 16 (14.5%) were related to prescribing medications, 16 (14.5%) were related to checking prescriptions and alerts, 14 (12.7%) items were related to the patient’s identity, 13 (11.8%) items were related to patient assessment, 12 (10.9%) items were related to the quality of alerts, 11 (10%) items were related to admission and discharge of the patient, 9 (8.2%) items were general features, and 3 (2.7%) items were related to diseases and making diagnosis. Conclusions In this study, merits, features, and desiderata to be considered when planning for, designing, developing, implementing, piloting, evaluating, maintaining, upgrading, and/or using EHRs with CDSSs were explored. Considering items on which consensus was achieved might promote congruence and safe use of EHRs. Further studies are still needed to determine if these recommendations can improve patient safety and outcomes in Palestinian hospitals.

scholarly journals ISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KENDARAAN DALAM MENDISTRIBUSIKAN ZAKAT, INFAK DAN SEDEKAH

CCIT Journal ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 268-275
Author(s):  
Emi Suryadi
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Analytic Hierarchy Process ◽  
Decision Support Systems ◽  
Analytic Hierarchy ◽  
The Poor ◽  
The People ◽  
Hierarchy Process ◽  
The City ◽  
Selection Of

Decision support systems into a solution in deciding the problem of various election BAZNAS vehicles in the city of Mataram. Various types of vehicles available in the office BAZNAS Mataram, this can help in the process of decision-support of various criteria and the selected alternative. The results of data collection and calculation processes Analytic Hierarchy Process (AHP) to get the value on which to base recommendations for the selection of vehicles in the city of Mataram BAZNAS namely deer with a total value of 0.4998097. The highest value is the value of the selected vehicle that can be used in distributing Zakat, Infak and Sedekah to various areas in the city of Mataram. The result of this decision in accordance with the calculation criteria and alternatives on which to base the selection of vehicles in the city of Mataram BAZNAS Office in choosing a vehicle. Zakat, Infakand Sedekah  distributed to the poor are earning less than the average and for the people of the poor and orphans so that it can be utilized for the welfare of society, especially in the city of Mataram.

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.

scholarly journals Decision Support Systems with AHP and SAW Method for Determination of Cattle with Superior Seeds

2016 ◽  
Vol 3 (2) ◽  
pp. 119-128
Author(s):  
Clarissa Amanda Josaputri ◽  
Endang Sugiharti ◽  
Riza Arifudin
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Body Condition Score ◽  
Animal Health ◽  
Animal Husbandry ◽  
Importance Value ◽  
Condition Score ◽  
Hierarchy Process

Department of Animal Husbandry and Fisheries of Semarang District is an institution in charge of livestock and animal health. Basically the Animal Husbandry Department has provided standardization for quality livestock cattle with superior seeds that usually can be judged or measured by various criteria.They are weight, age and value of BCS (Body Condition Score).They needed a system that could help the Department of Livestock and Fisheries of Semarang District in determining the electoral process cattle with superior seeds. In this research, the manufacture of Decision Support Systems in the determination cattle with superior seedsis using a combination of two methods is Analytical Hierarchy Process (AHP) and the Simple Addictive Weighting (SAW). In AHP will perform an importance value calculation criteria that will be paired up with an alternative to the SAW the next process is the sum of the weight from performance rating of all the attributes to each alternative, a ranking conducted to determine the result of cattle with superior seeds. Suggestions on this system, can be developed further by combining other methods to determine the recommendation that more effective.

scholarly journals Decision Support System Budget Allocation Fund Village With AHP method (Analytic Hierarchy Process) In the village of beehive

2020 ◽  
Vol 2 (1) ◽  
pp. 53-62
Author(s):  
Ilham Pramuja Nasution ◽  
Arjon Samuel Sitio
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Budget Allocation ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
The Village

The budget allocation of a village fund is very important and take big effect to village progress Because the office to distribute the tax result for village development. But, that allocation is not accurately. Therefore there was design a system to support a decision a budget allocation of village funds by using an Analytical Hierarchy Process (AHP) method. This research done to the make-easy an office village in budgeting is the allocation of village funds. An method of Analytical Hierarchy Process (AHP) is one of a method known as important as the highest level. An AHP method is look for the best alternative

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