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

Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Helda Yunita

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

2021 ◽  
Vol 20 (2) ◽  
pp. 232
Author(s):  
I Putu Agus Priska Suryana ◽  
Nyoman Pramaita ◽  
Made Sudarma

Intisari— Decision Support Systems dapat mendukung dalam mengambil keputusan untuk memecahkan kasus-kasus tidak terstruktur dan kompleks. Dalam tiap pengambilan sebuah keputusan akan selalu menghasilkan suatu pilihan akhir. Pada penerapan Sistem pendukung keputusan sering menggunakan metode Analytical Hierarchy Process (AHP). AHP dapat memecahkan kasus kompleks dimana kriteria yang diambil cukup banyak. Selain penerapan DSS, penulis juga menganalisis pengaruh penerapan Decision Support Systems pada suatu lembaga menggunakan Simple linear regression. Simple linear regression digunakan untuk mengetahui pengaruh variabel bebas terhadap variabel terikat. Dari beberapa review penelitian yang ada di Indonesia telah banyak yang menerapkan metode Analytical Hierarchy Process (AHP) untuk membantu dalam proses pendukung keputusan. Lembaga/ organisasi tersebut bergerak, dibidang Akademik, Swasta, Rumah Sakit, Pariwisata, dan Pemerintah. Penelitian ini mendapatkan hasil evaluasi pengembangan sistem AHP berbasis dekstop menjadi paling dominan dengan angka 58% dimana pada project pemerintahan menjadi yang terbanyak 48 %. Kata Kunci : Decision Support Systems, Analytical Hierarchy Process, AHP, Information System, Simple linear regression


Author(s):  
Agus Salim ◽  
Baginda Oloan Lubis

Rice is one of the staple foods of society in general, the need for rice supply is increasing every year. The increasing population in the Jababeka area is a threat to staple food supplies. To determine the selection of Rice Brands, it takes rice criteria in order to determine the best quality of rice, and increase sales. So that it can meet consumer needs for rice. In the selection of rice brands at CV Beras Alami  uses a voting system, this is clearly less valid in its election because it is subjective. Analytical Hierarchy Process (AHP) method is used as a method for decision making, as a solution in selecting rice brands in CV Beras Alami. The Expert Choice application is used as a support system to facilitate the selection of rice brands that are in demand by consumers. The results can be known during the 2018 period that rice is widely consumed is Garuda Utama.


2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Eka Wulansari Fridayanthie ◽  
Ahmad Azhar Alfiansyah

In the selection of Honda Honda motorcycles, of course consumers want to get the best and right choice. On CV. Darmin Motor Tangerang City has a factor in the assessment. This assessment is based on criteria and alternatives such as price, design, product quality and other brands of Honda Motorcycle. Almost every consumer wants a matic motorcycle that is affordable, fuel efficient and comfortable to use. This decision support system uses the method (AHP) as a process in determining the best matic motorbikes. This can be useful to facilitate a decision-making related to a problem of selecting Honda Motorcycle so that there will be many criteria and alternatives for consumers. In this study, data acquisition was obtained from the results of the questionnaire. The data that has been obtained is processed using Microsoft Excel so ftware and expert choice software. The results of the study using the Expert Choice Software application showed that the first rank was Beat Sport CBS with a value of 0.514 or 51.4% next Vario 125 CBS with a value of 0.300 or 30.0% and ranked last 0.187 or 18.7%.


2018 ◽  
Vol 6 (1) ◽  
pp. 75-84
Author(s):  
Adnan Zaki ◽  
Didik Setiyadi ◽  
Fata Nidaul Khasanah

Abstract   Supported technology development with the development of software or hardware that is increasingly going forward will be much helpful in facilitating decision-making. Sometimes in doing decision-making still do not subjectively based on criteria which should be specified. As an example of the educational units of the current difficulty in decision making the selection of the students Excel in school, that is because still use conventional means which allow the existence of a subjective assessment. Hence the need for a system which can help in making decisions objectively based on the criteria specified to determine the best students. Decision support method used to determine the best students namely Hierachy Process Analytical method (AHP) using five criteria, i.e. the value of the report, the list of attendance, spiritual attitude, social attitudes and skills. In making this application, using the PHP programming language to manipulate data in the database and build the Application Programming Interface (API) and Javascript to process data on the side of the user interface and uses MySQL as the database. This research has succeeded in designing a decision support system is the selection of the best students who objectively and accurately by the method of Analytical Hierarchy Process web-based. The result of the decision support system showed that of the 10 selected alternative, alternative 7 (A7) getting the best students ranked first with a value of 0.184, next is an alternative 5 (A5) with a value of 0.170.   Keywords: AHP, Decision Support System, Selection Of The Best Students   Abstrak   Perkembangan teknologi yang didukung dengan perkembangan software maupun hardware yang semakin maju akan banyak membantu dalam mempermudah pengambilan keputusan. Terkadang dalam melakukan pengambilan keputusan masih dilakukan secara subjektif tidak berdasarkan kriteria-kriteria yang seharusnya ditentukan. Sebagai contoh dari satuan pendidikan saat ini kesulitan dalam pengambilan keputusan pemilihan siswa berprestasi di sekolah, hal tersebut dikarenakan masih menggunakan cara konvensional yang memungkinkan adanya penilaian secara subyektif. Oleh karena itu perlu adanya suatu sistem yang dapat membantu dalam pengambilan keputusan secara objektif berdasarkan kriteria-kriteria yang telah ditentukan untuk menentukan siswa terbaik. Metode pendukung keputusan yang digunakan untuk menentukan siswa terbaik yaitu metode Analytical Hierachy Process (AHP) dengan menggunakan lima kriteria, yaitu nilai rapor, daftar kehadiran, sikap spiritual, sikap sosial dan ketrampilan. Dalam pembuatan aplikasi ini, menggunakan bahasa pemrograman PHP untuk mengolah data di database dan membangun Application Programming Interface (API) dan Javascript untuk mengolah data di sisi user interface serta menggunakan MySQL sebagai database. Penelitian ini telah berhasil merancang sistem ini pendukung keputusan pemilihan siswa terbaik yang objektif dan akurat dengan metode Analytical Hierarchy Process berbasis web. Hasil dari sistem pendukung keputusan menunjukkan bahwa dari 10 alternatif yang dipilih, alternatif 7 (A7) memperoleh peringkat pertama siswa terbaik dengan nilai 0,184, selanjutnya adalah alternatif 5 (A5) dengan nilai 0,170.   Kata kunci: AHP, Pemilihan Siswa Terbaik, Sistem Pendukung Keputusan


2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.


SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Eva Zuraidah

Tourism is currently very potential to be developed as a source of local income by providing information both online and offline to the community so that regional income increases. Bali is one of the tourist destinations in Indonesia which is visited by many local and foreign tourists. The island of Bali has many interesting sights consisting of natural attractions, royal festivals, culinary tours, traditional markets, and museums. There are many criteria that must be considered, so through this recommendation system, tourists can find out what places are in Bali they will visit. One of the problems of decision making with many criteria and attributes in the selection of attractions is to provide detailed decisions that refer to the scale of weight possessed. Decision support systems provide priority results of attractions that are suitable for every traveler. Traveling is very important because with tourism we can eliminate fatigue due to activity during the day. The selection of the right tourist attraction also affects this, so it is necessary to choose the right tourist attraction. This study focused on the application of multi-attribute decision making (MADM) to decision support systems (SPK) using preferred organizational methods for enrichment and evaluation (Promeethe). When a traveler fills out a questionnaire, he must be consistent with the answers to get the best results based on his willingness and characteristics. This research uses descriptive analysis method that presents a summary of the results of surveys and interviews of tourists who want to choose Bali tourist attractions according to costs, security, natural beauty, facilities, and infrastructure and location.


2021 ◽  
Vol 4 (1) ◽  
pp. 254-265
Author(s):  
Deborah Kurniawati ◽  
Febri Nova Lenti ◽  
Rudi Wahyu Nugroho

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Mochammad Sobandi Dwi Putra ◽  
Septi Andryana ◽  
Fauziah ◽  
Aris Gunaryati

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942.


2021 ◽  
Vol 5 (2) ◽  
pp. 149-160
Author(s):  
Nehemia Hadiwijaya ◽  
Jenie Sundari

Abstract-Supplier selection is one of the important things in purchasing activities for companies. Supplier selection is a multi-criteria problem which includes quantitative and qualitative factors. One method that can be used for supplier selection is the AHP (Analytical Hierarchy Process) method. The problems that will be discussed in this study are: (1) how is the order of priority criteria and sub-criteria in the selection of suppliers at PT Garuda Hidrotive International? (2) which supplier / supplier should PT Garuda Hidrotive International choose based on the AHP method? The sampling technique uses judgment sampling because the AHP method requires dependence on a group of experts according to the types of specialists involved in decision making. Based on the results of the analysis, the advice that can be given is, if the company will develop a partnership with suppliers, the company is preferred to choose supplier X as a supplier food chemical for the company because supplier X is the best supplier that has the highest overall value. With this partnership, the supply chain performance between suppliers and companies will be better and can facilitate the overall production activities. 


Author(s):  
M. MAHAPUTRA HIDAYAT ◽  
SYARIFUL ALIM ◽  
DHANU BUDI PANGESTU

For the selection of employees, there are usually many factors in fulfilling the assessment in order to get a maximum target. Especially in the field of call centers, it is required to have qualified skills which can solve problems complained of by customers. So that as a call center who receives incoming calls or can be called inbound calls, it must be the key to solving problems and be able to convey good suggestions. However, to get the value of the agent so that its performance is good, there are parameters that must be achieved, namely acd call, acd time, aux time, available time, staffed time and agent skill. best. By doing this, the monitoring system is very easy and more efficient to find out which agents are underperforming or agents who have reached the performance target. For this reason, an application with a case study was created in order to achieve the maximum target. This application will greatly help the team, namely Teamleader, Taber, Spv, Manager as they play an important role in evaluating agents in their performance.


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