scholarly journals Sistem Pemilihan Pegawai Terbaik Kantor Camat Siantar Timur Menggunakan AHP

2019 ◽  
Vol 1 ◽  
pp. 378
Author(s):  
Mhd. Alamin ◽  
Eka Irawan ◽  
Jaya Tata Hardinata
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Employee Selection ◽  
Management Systems ◽  
Ahp Method ◽  
Knowledge Based ◽  
Efficiency And Effectiveness ◽  
Computer Based ◽  
Hierarchy Process ◽  
Support Decision Making

This study aims to build a decision support system that has the ability to analyze in selecting the best employees in the EAST SIANTAR CUP OFFICE using the Analytical Hierarchy Process (AHP) method. Employees can be compared one to the other from assessment factors and alternatives so that they can give the output of priority intensity values in producing a system that gives an assessment to each employee. This study aims to determine the best employees in the EAST SIANTAR MESSAGE OFFICE. Decision support systems are computer-based information systems (including knowledge-based knowledge management systems) that are used to support decision making in an organization, institution, agency or company. In the process of recruiting the best employees there are several factors that become an assessment, namely from Responsibility, Diligent, honesty and discipline. For the sake of work efficiency and effectiveness, appropriate decision making is needed which aims to build an analysis capability for the best employee selection

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

scholarly journals PENENTUAN MAHASISWA BERPRESTASI DENGAN METODE AHP DI STMIK PELITA NUSANTARA

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Sadar Budi Wibowo ◽  
Murni Marbun
Keyword(s):  
Foreign Language ◽  
Superior Performance ◽  
Student Selection ◽  
Ahp Method ◽  
Knowledge Based ◽  
Performance Abilities ◽  
Computer Based ◽  
Hierarchy Process ◽  
Support Decision Making

<p>Being an outstanding student has criteria according to the awarding institution. There are special requirements that must be met by the participants of outstanding student selection. The assessment component in STMIK Pelita Nusantara is the cumulative Achievement Index (GPA), scientific writing, superior performance / abilities, foreign language skills, and personality. Decision support systems (DSS) are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or company. The determination of outstanding students includes unstructured problems because they have different criteria. With the Analytical Hierarchy Process (AHP) method, a criterion will be compared to other criteria in terms of how important it is to achieving goals with other criteria. The results of the assessment weight are two, namely achievement and not achieving. Of the 10 students who were categorized as achievers, after the application of the AHP calculation, Anas Prasetyo obtained it Value = 2.76 and Ari Kurniawan = 2.57. Students are in the category of Achievement.</p>

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

Decision-Making Support Systems

2005 ◽  
pp. 759-765 ◽  
Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Knowledge Based Systems ◽  
Executive Information Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Decision Making Support

Decision-making support systems (DMSS) are specialized computer-based information systems designed to support some, several or all phases of the decision-making process (Forgionne et al., 2000). They have the stand-alone or integrated capabilities of decision support systems (DSS), executive information systems (EIS) and expert systems/knowledge based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits for decision makers in real applications.

scholarly journals IMPLEMENTASI ANALYTICAL HIERARCHY PROCESS DALAM MENENTUKAN TINGKAT KEPUASAN PELAYANAN E-KTP (STUDI KASUS KANTOR CAMAT PAGAR MERBAU)

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Eka Wiyanti ◽  
Anita Sindar
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Government Agencies ◽  
Community Satisfaction ◽  
Ahp Method ◽  
Multicriteria Problems ◽  
Identity Card ◽  
Computer Based ◽  
Hierarchy Process ◽  
Server System

<p>The implementation of the service of making E-KTP (Electronic Identity Card) in some areas has problems such as data filling, fingerprint recording, retina, photo taking, the reason for blank E-KTP blanks and the bureaucratic structure of E-KTP publishing is often problematic because of the server system . Government agencies in the Pagar Merbau District Head Office do not know specifically the level of community satisfaction in managing the E-KTP. SPK application is used in decision making. The SPK application uses a flexible, interactive, and adaptable CBIS (Computer Based Information System) developed to support solutions to specific, unstructured management problems. The Analytical Hierarchy Process (AHP) method is a method of decision making in solving multicriteria problems. From the AHP calculation, the final result is obtained with the condition that if the value is ≥ 0.4, then the information is Satisfactory Service if &lt;0.4, then the information is Poor Service.</p>

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.

scholarly journals Sistem Pendukung Keputusan Untuk Seleksi Penerimaan Asisten Laboratorium Menggunakan Metode AHP

Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Helda Yunita
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Analytical Hierarchy Process ◽  
Support Systems ◽  
Ahp Method ◽  
Complex Problems ◽  
Laboratory Assistant ◽  
Hierarchy Process ◽  
Selection Of

INTISARISistem Pendukung Keputusan (SPK) merupakan suatu sistem yang mendukung suatu instansi dalam pengambilan keputusan untuk suatu permasalahan dengan tujuan sebagai alat bantu untuk memperluas kapabilitas dalam pengambilan keputusan. Pendukung keputusan pada dasarnya merupakan suatu hasil dari beberapa alternatif terbaik yang terpilih sesuai dengan berbagai macam kriteria. Salah satu metode sistem pendukung keputusan yaitu metode Analyitical Hierarchy Process (AHP) yang merupakan metode untuk melakukan pengambilan keputusan secara ilmiah dan rasional untuk memberikan solusi terhadap masalah kriteria yang kompleks dalam berbagai alternative dengan melakukan perhitungan dari perbandingan permasing – masing kriteria. Melalui metode AHP ini dapat diketahui hasil dari nilai para calon asisten laboratorium yang telah dihitung sesuai dengan kriterianya.Kata kunci—Sistem Pendukung Keputusan (SPK), Analytical Hierarchy Process (AHP), seleksi calon asisten laboratorium.ABSTRACTDecision support systems ( DSS ) is a system that supports an agency in decision-making to a problem with the destination as a tool to expand the decision making capabilities. Basicly, a decision support systems is a selection of some of the best alternative options from some criteria. A method of decision support systems is Analyitical Hierarchy Process ( AHP ) is a method to make decisions scientifically and rationally to provide solutions to complex problems in a variety of criteria alternatives. With this Analytical Hierarchy Process ( AHP ) method can be show the result from values of laboratory assistant candidate that calculate from their criteria.Keywords—Decision Support Systems (DSS), analytical hierarchy process (AHP), candidate laboratory assistant selection

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 Decision Support System of The People's Business Credit Method Using Analytical Hierarchy Process at Bank Syariah Mandiri Kc. Lubuk Pakam

2020 ◽  
Vol 2 (1) ◽  
pp. 120-123
Author(s):  
Dhini Andika ◽  
Penda Sudarto Hasugian
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Data Transformation ◽  
Ahp Method ◽  
Final Grade ◽  
Business Conditions ◽  
Hierarchy Process

Decision support system (DSS) system that can help someone in making decisions that are accurate and right on target. Many problems can be solved by using the SPK. One of them is Determining the eligibility of customers receiving the People's Business Credit (KUR). There are Several methods that can be used in building a DSS, Including Analytical Hierarchy Process (AHP). The application of the AHP method to the decision support system of people's business credit through a number of processes of data transformation starts from Determining the priority scale of each criterion, to getting the final grade and ranking. In Determining the eligibility of KUR recipient customers, there are Several criteria that are the basis for decision making, Including Credit Status, Productive Business, Business Conditions, Collateral and Collectibility.

scholarly journals Integration of Multi-Criteria Decision Support with Infrastructure of Smart Services for Sustainable Multi-Modal Transportation of Freights

2021 ◽  
Vol 13 (9) ◽  
pp. 4675
Author(s):  
Dalė Dzemydienė ◽  
Aurelija Burinskienė ◽  
Arūnas Miliauskas
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Intelligent Systems ◽  
Operative Management ◽  
Smart Services ◽  
Knowledge Based ◽  
Management Processes ◽  
Analysis Of Alternatives ◽  
Information And Communication ◽  
Computer Based

The problems of developing online decision support systems concern the complexity of the transportation management processes, the multi-dimensionality of data warehouses (DWs), and the multi-criteria of decision making. Such issues arise in the management processes by supporting them with adaptable information and communication infrastructure for the management of the freight’s transportation processes. Our research domain involves the assurance of infrastructure for the provision of smart services for the operative management of multi-modal transportation of freights under the conditions of the heterogeneity of communication channels and multi-criteria decision support. The complexity of managing multi-modal transportation processes raises some problems for ensuring the infrastructure for finding more optimal management solutions by the requirements of green development. This research aims to develop the approach for providing the infrastructure of intelligent smart services for adaptable implementation in management processes of online multi-modal freight transportation. The objectives are forwarded to construct the multi-criteria decision-making components and integrate them into the multi-layered, computer-based information management of intelligent systems. We present the steps of extension of the structure of the knowledge-based system with a multi-criteria decision support method, and the possibilities to work under the conditions of wireless networks and the recognition of context-aware situations. The results are demonstrated for the analysis of alternatives by assessing the multi-modal transportation corridors between the East and West regions of Europe, and the opportunities to evaluate them for more effective managerial perspectives under sustainable development requirements.

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