PENERAPAN METODE TOPSIS DALAM MENENTUKAN PEMILIHAN KARTU PRABAYAR HANDPHONE GOBAL SYSTEM FOR MOBILE (HP GSM)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Masitha Masitha ◽  
Irfan Sudahri Damanik ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Support ◽  
Support System ◽  
Solution Method ◽  
Ideal Solution ◽  
Active Period ◽  
Data Packets ◽  
A Value ◽  
Policies And Programs ◽  
Topsis Technique ◽  
Selection Of

Prepaid Card is a card that can only be used if there is a nominal number of pulses or data packets first. This card has an active period that varies depending on the policies and programs of each provider. Many card users are still confused about choosing a prepaid card that is good for use, so they really need information that can be used as a reference in choosing a prepaid card. In this study conducted to analyze a selection of prepaid cards using the TOPSIS (Technique For Order of Preference By Similarity To Ideal Solution) method in determining alternative choices for all prepaid card users, using several assessment criteria, namely: Cost (C1), Feature Completeness (C2), Signal (C3), Promotion / Advertising (C4), and Service Quality (C5). And also by using 6 alternatives, namely: Telkomsel (A1), Axis (A2), IM3 (A3), XL (A4), US (A5), and 3 (A6). And the results of this study were ranked first, namely: 3 (A6) as the first rank with a value of 0.5286 followed by XL (A4) with a value of 0.5238 as the second rank, and Telkomsel (A1) with a value of 0.5027. IM3 (A3) with a value of 0.4988, Axis (A2) with a value of 0.4765, then the last US (A5) with a value of 0.1905. It is hoped that this research can provide a better input to all prepaid card users.Keywords: TOPSIS, decision support system, pematang siantar, prepaid card

scholarly journals Analisis Pemilihan Marketplace Terbaik pada Masa Pandemi COVID-19 Menggunakan Metode Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) dan Weighted product (WP)

2021 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Zahra Wafda Syamila ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Online Media ◽  
Ideal Solution ◽  
Weighting Method ◽  
A Value ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
Topsis Technique

Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.

scholarly journals Sistem Pendukung Keputusan Untuk Menentukan Sanksi Pelanggaran Siswa Menggunakan Metode TOPSIS

2021 ◽  
Vol 1 (1) ◽  
pp. 81-88
Author(s):  
Rita Ratna Sari ◽  
Nurwati Nurwati ◽  
Elly Rahayu
Keyword(s):  
Decision Support ◽  
Programming Language ◽  
Support System ◽  
Solution Method ◽  
Student Discipline ◽  
Application Software ◽  
Ideal Solution ◽  
The World ◽  
Order Preference ◽  
Topsis Technique

Abstract:All students in the world of education in the learning process are not separated from the various rules and regulations that apply or are implemented by the school and it is mandatory to be obeyed by every student. With this, it is intended that every student knows about discipline. At SMP Negeri 1 Bosar Maligas presence, tidiness, personality and order are aspects of discipline which are used as references to measure the level of student discipline. The mechanism for measuring the level of discipline of each student is measured manually, namely by accumulating points of violations committed by students, then determining the sanctions that will be given. The purpose of this study is to analyze and design a decision support system to determine the level of discipline and sanctions for student violations using the TOPSIS (Technique Order Preference by Similarity To Ideal Solution) method and implement the system to assist counseling teachers in monitoring student discipline levels, and can be effective and efficiently find the number of points of violation committed by students. The system is designed using the MySQL database, PHP programming language, and Macromedia Dreamweaver application software. Keywords: Discipline, TOPSIS, Macromedia Dreamweaver, Hypertext PrePocessor, Decision Support Systems.  Abstrak: Semua siswa di dalam dunia pendidikan  dalam proses belajar tidak ada yang  terlepas dari berbagai tata tertib dan peraturan yang berlaku atau di jalankan oleh sekolah dan memang wajib harus di taati oleh setiap siswa. Dengan adanya hal tersebut bertujuan supaya setiap siswa mengetahui tentang kedisiplinan.  Di SMP Negeri 1 Bosar Maligas kehadiran, kerapian, kepribadian dan ketertiban  merupakan aspek kedisiplinan yang dijadikan sebagai acuan untuk mengukur tingkat kedisiplinan siswa. Mekanisme pengukuran tingkat  disiplin dari masing-masing siswa diukur dengan cara manual, yaitu dengan mengakumulasi point pelanggaran yang dilakukan siswa, kemudian ditentukan sanksi yang akan diberikan. Tujuan dari penelitian ini untuk menganalisis dan merancang sistem pendukung keputusan untuk menentukan tingkat kedisiplinan dan sanksi pelanggaran siswa menggunakan metode TOPSIS (Technique Order Preferenceby Similarity ToIdeal Solution) dan mengimplementasikan sistem tersebut untuk membantu guru BK dalam memantau tingkat kedisiplinan siswa, dan dapat dengan efektif dan efesien mencari jumlah point pelanggaran yang di lakukan oleh siswa.Sistemdi rancang menggunakan database MySQL,bahasa pemrograman PHP, dan software aplikasi macromedia dreamweaver. Kata Kunci :Kedisiplinan, TOPSIS, Macromedia Dreamweaver, PHP, Sistem Pendukung Keputusan.

scholarly journals Sistem Penunjang Keputusan Pemilihan Guru Terbaik dengan Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Studi Kasus: SDN Bendungan Hilir 01 Pagi Jakarta Pusat

2017 ◽  
Vol 2 (2) ◽  
pp. 89
Author(s):  
Hendri Ardiansyah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique

Tugas utama guru adalah mendidik; mengajar; membimbing; mengarahkan; melatih; menilai; dan mengevaluasi peserta didiknya. Guru berprestasi adalah guru yang memiliki kemampuan melaksanakan tugas; keberhasilan dalam melaksanakan tugas; memiliki kepribadian yang sesuai dengan profesi guru dan memiliki wawasan kependidikan. Sistem pendukung keputusan atau Decision Support System (DSS) merupakan suatu sistem yang dapat membantu dalam pengambilan keputusan pada sebuah organisasi atau perusahaan dengan menerapkan metode yang sesuai dengan bidang keputusan yang diambil; Pengambilan keputusan secara manual tanpa bantuan SPK akan menghasilkan penilaian yang tidak objektif dan tidak tepat. Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) merupakan salah satu metode pengambilan keputusan multi kriteria dengan menerapkan bobot nilai pada setiap kriterianya. Pemilihan metode TOPSIS ini dibandingkan dengan metode SPK yang lain yaitu metode ini menggunakan prinsip bahwa alternatif yang terpilih harus mempunyai jarak terdekat dari solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Sistem yang dibuat memungkinkan pihak sekolah untuk menentukan aspek penilaian berdasarkan kriteria sesuai dengan kebutuhan dari sekolah tersebut sehingga lebih fleksibel. Sistem pendukung keputusan dengan metode TOPSIS ini diharapkan dapat membantu dalam pemilihan guru terbaik.

Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Dengan Metode Analytical Hierarchy Process

2018 ◽  
Vol 6 (1) ◽  
pp. 75-84
Author(s):  
Adnan Zaki ◽  
Didik Setiyadi ◽  
Fata Nidaul Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Application Programming Interface ◽  
A Value ◽  
Application Programming ◽  
Hierarchy Process ◽  
Selection Of

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

Recommendation Decision Support System Smartphone Selection By Method Web-Based Simple Additive Weighting (SAW)

2020 ◽  
Vol 9 (2) ◽  
pp. 213
Author(s):  
I Nengah Aryadi Suputra ◽  
I Gusti Agung Gede Arya Kadyanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Communication Technology ◽  
Support System ◽  
Web Based ◽  
Simple Process ◽  
A Value ◽  
Wide Range ◽  
Simple Additive Weighting ◽  
Selection Of

Smartphones are already a must-have communication technology to make it easier to live your daily life. However, with so many choices can make consumers confused in determining the appropriate choice. The Simple Additive Weighting (SAW) method can help in the simple process that can be applied to decision-making cases such as in smartphone selection recommendations with a wide range of attributes. In the case of this study, the results were obtained that the Realme X3 Superzoom smartphone scored the highest preference with a value of 22. With this research, it is hoped that this decision support system can help potential consumers to more easily consider in the selection of smartphones that suit their wishes or needs

scholarly journals Penerapan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Perangkat Pribadi

2020 ◽  
Vol 5 (2) ◽  
pp. 195
Author(s):  
Amalia Khansa ◽  
Fauziah Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
A Value ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
The Many

Along with the rapid development of technology, many types of laptops and smartphones have sprung up. The many types on the market can make consumers confused in choosing products. The decision support system for choosing this personal device uses the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The basic concept of this method is to find the weighted sum of the performance ratings for each alternative for all attributes. In the results of manual and system calculations, the SAW and TOPSIS methods produce the same ranking. In the SAW method, the highest-ranking of laptops is obtained by Acer Swift 3 (SF314-56G) with a value of 0.977 and on smartphones, the highest score is obtained by the Samsung Galaxy M51 with a value of 1. In the TOPSIS method, the highest-ranking is obtained by a laptop with a value of 0.9507 and a smartphone with a value of 1.Keywords:Notebook; SAW; Decision Support System; Smartphone; TOPSIS.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH USAHA WARALABA MAKANAN MENGGUNAKAN METODE TOPSIS

2013 ◽  
Vol 5 (2) ◽  
pp. 61-68
Author(s):  
Meri Azmi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Ideal Solution ◽  
Shortest Distance ◽  
Multiple Attribute ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Topsis Technique

Large number of franchises that will be selected as well as indicators of many criteria, it is necessary to build a decision support system that will help decide which franchise to choose. The model used in the decision support system is a Multiple Attribute Decision Making (MADM) and to perform calculations on the case MADM method in finding the best alternative based on the criteria specified use traditional methods TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to perform the calculations. TOPSIS method is chosen as the method is based on the concept that the best alternative was chosen not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution.

scholarly journals TOPSIS Method Application in Choosing The Most-Sale POS Cashier Machine Stuffs and Tools in PT. Mahadana Wikasita

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Rani Irma Handayani ◽  
Normah Normah ◽  
Deni Wironoto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Test Results ◽  
Topsis Method ◽  
A Value ◽  
Order Preference ◽  
One Year ◽  
A Company

PT. Mahadana Wikasita is a company engaged in the sale of machine goods and pos cashier tools. In order to face business competition there are some problems that often arise regarding the sale of goods. PT. Mahadana Wikasita is lacking in monitoring the goods sold, what items consumers need and the storage of data is less effective, so the company can not determine exactly which goods to buy. Therefore, a decision support system is needed that can help solve this problem. In this research, the decision support system used is by Techinique for Order Reference by Similarity to Ideal Solution (TOPSIS) which consists of seven stages using several criteria such as price, type, quality and customer interest. In the test results calculated using the Method For Order Preference bySimiliarity to Ideal Solution (TOPSIS) it can be concluded that the highest value is kios Pakmo mobile cashier application package with a value of 0.920, can be interpreted as the best selling item for one year.

scholarly journals Sistem Pemilihan Smartphone Berdasarkan Spesifikasinya Pada Mahasiswa Sistem Informasi Universitas Tanjungpura Menggunakan Metode Simple Additive Weighting (SAW)

2021 ◽  
Vol 2 (3) ◽  
pp. 329
Author(s):  
Renny Puspita Sari ◽  
Bayu Saputra
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
University Student ◽  
Performance Rating ◽  
A Value ◽  
Student Information ◽  
Simple Additive Weighting ◽  
Selection Of

Current technology is often used by all groups, one of which is students in the Information Systems department at Tanjungpura University. One of the technologies used is a Smartphone which is a tool for students to communicate with each other even during the current pandemic, Smartphones are used for learning as well and each Smartphone has its own specifications that make it superior to other Smartphones, of course with the number of Smartphones circulating in the market. will be confused in making the selection, thus the decision support system to choose a Smartphone based on the specifications is made for the purpose of assisting in the selection of the Smartphone. The Simple Additive Weighting (SAW) method is used to complete the decision support system for Smartphone Selection During the Pandemic for the Tanjungpura University Student Information System which uses weighted summation for each performance rating for each alternative. In this study, the results of the calculations obtained from the survey are Samsung S21 5G with a value of 73.75, Iphone 11 64GB with a value of 48.75, Vivo Y17 with a value of 81.25, Asus ROG Phone 5 with a value of 80, Oppo A92 and with a value. 96.

scholarly journals Analisis Decision Support System Perbandingan Metode Smarter dan Saw Dalam Menentukan Pemilihan Staff Pegawai Terbaik Laboratorium Komputer

2021 ◽  
Vol 5 (2) ◽  
pp. 495
Author(s):  
Nandri Marsan Sitinjak ◽  
Muhammad Zarlis ◽  
Roslina Roslina
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Method Comparison ◽  
Comparison Method ◽  
Advantages And Disadvantages ◽  
A Value ◽  
And Performance ◽  
Alternative Choice ◽  
Selection Of

The best employees will make an agency to increase in its operations and can develop rapidly. However, relations on the part of an agency are still not optimal in selecting the best staff. Therefore, human resource management is needed in an agency with the selection of the best employee staff to spur staff morale in improving operations, dedication and performance in an agency, so that it becomes better, namely by creating a Decision Support System in selecting the best staff employees by using the Smarter and Saw method comparison method. The Smarter and Saw method is a decision-making method using multiplication to determine the value of a criterion, where the value for each criterion must be determined in advance with the weight of each criterion concerned. By utilizing the advantages and disadvantages of each method, the comparison of this method is able to give a value of 79.5 for the Smarter method, 93 for using SAW. Decision support systems using this comparison method can assist in the selection of the best employees and provide an alternative choice of ranking results

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