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 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 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

Site selection for landfill gas extraction plant by fuzzy analytic hierarchy process and fuzzy analytic network process in the city of Najafabad, Iran

2017 ◽  
Vol 28 (7) ◽  
pp. 763-774 ◽  
Author(s):  
Mohammad Saeed Khademalhoseiny ◽  
Mozhgan Ahmadi Nadoushan ◽  
Hadi Radnezhad
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Network Process ◽  
Biogas Plant ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process ◽  
The City ◽  
Fuzzy Analytic Network Process ◽  
Selection Of

For the selection of the suitable place for the construction of sanitary landfill and biogas plant in the city of Najaf Abad, this study used fuzzy analytic hierarchy process, fuzzy analytic network process, and geographic information system. In this research, factors such as slope, aspect, geology, land use, biomass, and distance from groundwater, electricity network, protected areas, and roads were used as the most important criteria for site selection of biogas plant. The results of weighting and overlaying the maps of different criteria showed that based on the analytic network process, the best place selected for the establishment of biogas reactor was located in the southwest and based on analytic hierarchy process, the best places are located in the south and southwest of the study area. Suggested places, which are the best for the establishment of biogas plant, are located in barren lands of Najaf Abad. Moreover, according to the result, it is found that 10% and 11% of the study area are highly suitable based on fuzzy analytic hierarchy process and analytic network process methods, respectively. The results showed that the usage of fuzzy analytic hierarchy process, fuzzy analytic network process as multi-criteria decision-making methods in combination with geographic information system are suitable for selecting the best place for landfill and biogas plant.

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 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 Talent demand and urban development in city A

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Ouya Hao ◽  
Ningzhou Li ◽  
Xianhong Wang
Keyword(s):  
Neural Network ◽  
Urban Development ◽  
Analytic Hierarchy Process ◽  
Bp Neural Network ◽  
Analytic Hierarchy ◽  
The People ◽  
Hierarchy Process ◽  
The City

The introduction of talent programs is one of the key programs in many cities in recent years. In order to “encourage and enrich the people and innovate the city”, cities such as Beijing, Shanghai, Wuhan, Chengdu, Xi’an and Shenzhen are using various attractive policies to compete for talents. Based on this, this paper uses BP neural network and analytic hierarchy process to model and analyze the talent demand of A-City and the development of the city. 

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