scholarly journals Sistem Pendukung Keputusan Penggunaan Uang Elektronik Untuk Belanja Retail Dengan Metode Topsis

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Sefrika Sefrika Sefrika
Keyword(s):  
Qr Code ◽  
Ideal Solution ◽  
Electronic Money ◽  
The Public ◽  
Shortest Distance ◽  
Order Preference ◽  
Speed Up ◽  
Negative Ideal Solution ◽  
Retail Shopping ◽  
Selection Of

Pertumbuhan penggunaan uang elektronik di Indonesia turut andil dalam menciptakan cash less society atau masyarakat yang minim menggunakan uang tunai yang berperan dalam mengurangi penggunaan uang cetak di Indonesia. Penggunaan uang elektronik yang mudah dengan menggunakan mesin EDC atau Scan QR Code memudahkan masyarakat dan merchant untuk melakukan transaksi dengan efisien, mengurangi antrian, mempercepat proses pembayaran dan lebih aman. Penelitian ini bertujuan membantu pengguna untuk memilih kriteria yang ditawarkan dari uang elektronik yang dapat digunakan sebagai metode pembayaran khususnya belanja retail. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) merupakan salah satu metode pengambilan keputusan multikriteria yang didasarkan pada konsep bahwa alternatif yang terbaik tidak hanya memiliki jarak terpendek dari solusi ideal positif tetapi juga memiliki jarak terpanjang dari solusi ideal negatif. Hasil penelitian menunjukkan bahwa sistem pendukung keputusan dengan metode TOPSIS dapat digunakan untuk membantu pelanggan dalam memutuskan pemilihan uang elektronik berdasarkan kriteria yang ditawarkan. Hasil penelitian mendapatkan nilai preferensi akhir sebesar 0,84 dari kriteria C2 dan C3. Kriteria tersebut adalah Terdapat promo, diskon, cashback (C2) dan Mengurangi penggunaan uang tunai (cashless) (C3). The growth in the use of electronic money in Indonesia has contributed to creating a cash less society or a society that uses minimal cash which has a role in reducing the use of printed money in Indonesia. The easy use of electronic money by using EDC machines or QR Code Scan makes it easy for the public and merchants to conduct transactions efficiently, reduce queues, speed up the payment process and be safer. This study aims to help users to choose the criteria offered from electronic money that can be used as a method of payment, especially retail shopping. TOPSIS is one of the multi-criteria decision making methods based on the concept that the best alternative not only has the shortest distance from the positive ideal solution but also has the longest distance from the negative ideal solution. The results showed that the decision support system with the TOPSIS method can be used to assist customers in deciding the selection of electronic money based on the criteria offered. The results obtained a final preference value of 0.84 from the C2 and C3 criteria. These criteria are There are promos, discounts, cashback (C2) and Reducing the use of cash (cashless) (C3).

scholarly journals Sistem Pendukung Keputusan Pemilihan Instrumen Investasi Bagi Individu Dengan Metode Topsis

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Enok Tuti Alawiah ◽  
Sefrika Sefrika ◽  
Martua Hami Siregar
Keyword(s):  
Mutual Funds ◽  
Research Method ◽  
Decision Problems ◽  
Money Management ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Short Term ◽  
Shortest Distance ◽  
Order Preference ◽  
Negative Ideal Solution

Abstrak -Ada berbagai cara nasabah dalam metode pengelolaan uang. Salah satunya adalah menabung dan investasi. Biasanya investasi memiliki tujuan jangka Panjang dan pendek serta memiliki berbagai macam instrument dengan timbal balik yang menarik. Penelitian ini bertujuan untuk membantu individu dalam memilih jenis investasi sesuai dengan kriteria pilihan yang ditawarkan yaitu investasi deposito, reksadana dan saving bond ritel (SBR).  Metode penelitian yag digunakan adalah Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS adalah metode pengambilan keputusan multikriteria yang didasarkan pada konsep bahwa alternatif yang terbaik tidak hanya memiliki jarak terpendek dari solusi ideal positif tetapi juga memiliki jarak terpanjang dari solusi ideal negatif. Konsep ini banyak digunakan untuk menyelesaikan masalah keputusan secara praktis. Hasil  penelitian yang telah dilakukan menghasilkan preferensi akhir sebesar 0,65 dengan kriteria C1 yaitu instrument deposito.Katakunci: deposito, reksadana, saving bond retail (SBR), sistem pendukung keputusan, TOPSIS.Abstract - There are various ways in which customers use money management methods. One of them is saving and investing. Usually investment has long and short term goals and has a variety of instruments with attractive reciprocity. This study aims to assist individuals in choosing the type of investment in accordance with the criteria of choice offered, namely investment deposits, mutual funds and retail savings bonds (SBR). The research method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS is a multi-criteria decision-making method based on the concept that the best alternative not only has the shortest distance from a positive ideal solution but also has the longest distance from a negative ideal solution. This concept is widely used to solve practical decision problems. The results of research that have been carried out produce a final preference of 0.65 with C1 criteria, namely instrument deposit.Keywords: decision support systems, deposits, mutual funds, saving bond retail (SBR), 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.

A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application

2014 ◽  
Vol 13 (05) ◽  
pp. 957-978 ◽  
Author(s):  
Deniz Okul ◽  
Cevriye Gencer ◽  
Emel Kizilkaya Aydogan
Keyword(s):  
Decision Making ◽  
Drug Benefit ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Inaccurate Information ◽  
Real World Application ◽  
Shortest Distance ◽  
Order Preference ◽  
Negative Ideal Solution

Stochastic multi-criteria acceptability analysis (SMAA-2) and the technique for order preference by similarity to ideal solution (TOPSIS) are methods for evaluating alternatives with multiple criteria. SMAA is a method that is used for solving multi-criteria decision-making problems with uncertain, inaccurate information, and does not require preference information from the decision makers. The TOPSIS method is based on the principle of determining a solution with the shortest distance to the ideal solution and the greatest distance from the negative-ideal solution. This paper proposes a new method, SMAA-TOPSIS, by combining the SMAA and TOPSIS methods. The SMAA-TOPSIS method was executed for two problems: drug benefit-risk analysis and machine gun selection. This paper found that TOPSIS could be used with uncertain and arbitrarily distributed values for weights and criteria measurements by using a combination of SMAA and TOPSIS. Also, we obtained clearer and consistent SMAA outputs.

scholarly journals Identifikasi dalam Penentuan Prioritas Usulan Kenaikan Jabatan Fungsional Pegawai Menggunakan Metode TOPSIS

2021 ◽  
pp. 169-175
Author(s):  
Z Zulvitri ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
State Universities ◽  
Ideal Solution ◽  
Laboratory Management ◽  
Time Of Application ◽  
Maximum Value ◽  
Shortest Distance ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Promotion Process ◽  
The City

Padang State Polytechnic (PNP) is one of the state universities located in the city of Padang, which has 39 Learning Laboratory Institution Functional Officials, who were later told by PLP. PLP is a Civil Servant (PNS) who is given the task, responsibility, authority and right to carry out activities in the field of learning laboratory management. The problem that occurs is that the PLP does not know the exact time of application for promotion and functional positions of each. Some of the difficulties occur in managing the sub-division of personnel in finding archives. This article is always increasing and accumulating each period of acceptance. So this research aims to process this staffing data to make it easier and to accelerate the promotion process. The method used is the Decision Support System (DSS) in identifying priorities for proposals for functional promotion. The DSS method used is Technique For Order Preference By Similarity to Ideal Solution (TOPSIS). The results of this study have the reliability in considering the shortest distance to the positive ideal solution and also the longest distance to the negative ideal solution. The alternatives and criteria used in this study consisted of 5 alternatives and 3 criteria. The value of ideal positive and negative solutions has a maximum value of K1 which is 0.66, K2 is 0.022, K3 is 0.05 and a minimum value of K1 is 0.1, K2 is 0.017, K3 is 0.022. The highest score in ranking is 2 people with a score of 1 and the lowest is 1 person with a score of 0.0008. So this research is very helpful in identifying promotion priorities appropriately

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals A Comparative Study on Decision Making Methods with Interval Data

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Aditya Chauhan ◽  
Rahul Vaish
Keyword(s):  
Decision Making ◽  
Input Data ◽  
Multiple Criteria Decision Making ◽  
Interval Data ◽  
Cross Entropy ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of ◽  
Novel Algorithm

Multiple Criteria Decision Making (MCDM) models are used to solve a number of decision making problems universally. Most of these methods require the use of integers as input data. However, there are problems which have indeterminate values or data intervals which need to be analysed. In order to solve problems with interval data, many methods have been reported. Through this study an attempt has been made to compare and analyse the popular decision making tools for interval data problems. Namely, I-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), DI-TOPSIS, cross entropy, and interval VIKOR (VlseKriterijumska Optimiza-cija I Kompromisno Resenje) have been compared and a novel algorithm has been proposed. The new algorithm makes use of basic TOPSIS technique to overcome the limitations of known methods. To compare the effectiveness of the various methods, an example problem has been used where selection of best material family for the capacitor application has to be made. It was observed that the proposed algorithm is able to overcome the known limitations of the previous techniques. Thus, it can be easily and efficiently applied to various decision making problems with interval data.

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

scholarly journals Pembangunan Aplikasi Transaksi Menu Di Kedai XYZ Kopi Menggunakan QR-Code Dan One Time Password Berbasis E-Wallet

2020 ◽  
Vol 10 (3) ◽  
pp. 113-122
Author(s):  
Fazri Muhamad Kurnia ◽  
Keyword(s):  
Qr Code ◽  
Electronic Money ◽  
Authentication Code ◽  
Coffee Shop ◽  
Transaction Process ◽  
Cash Payment ◽  
Long Time ◽  
Speed Up ◽  
One Time Password ◽  
The One

The payment process using electronic money is a non-cash payment method based on E-Wallet aimed at facilitating users in transact. The transaction process at the coffee shop XYZ is still done conventionally and takes a long time, causing long queues. The research carried out aims to speed up the transaction process at XYZ coffee shops. The method used in this research is prototype. An alternative solution to the transaction process is to utilize the E-Wallet and QR-Code through the customer's smartphone. This study utilizes Go-Pay E-Wallet access as a means of payment through the Midtrans Payment Gateway and uses the One Time Password code as a login method on the system. Qr-code scanning to place orders can be done quickly which is around 3,551 milliseconds. Quessioner results distributed to 20 customers showed the following data, around 90% agreed on the use of e-wallet as an alternative payment, around 87% agreed on the statement of the use of e-wallet was able to reduce the slow transaction process, about 79% agreed to the statement that this system facilitates the transaction process, as well as 79% level of approval of the use of an authentication code through a mobile number that makes it easy to enter the application. The results showed that the system built can speed up the transaction process.

scholarly journals Penerapan Metode Topsis Untuk Pemilihan Vendor Terbaik

2021 ◽  
Vol 11 (2) ◽  
pp. 19-30
Author(s):  
Derman Janner Lubis ◽  
Nur Amalina Anindita
Keyword(s):  
Calculation Method ◽  
Research Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Matrix ◽  
Relative Closeness ◽  
The Matrix ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of vendors to work on a project is an activity that must be carried out effectively and precisely so that the project is carried out in accordance with business needs and does not suffer losses. To get the best vendor ranking, you can use the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) calculation method. TOPSIS method is a method that generates rankings by calculating the distance between the best solution and the worst solution. The steps to calculate using TOPSIS are identification of alternatives and their values, create a decision matrix, normalize the matrix, calculate the normalization matrix, look for positive and negative solutions, calculate the distance between positive and negative solutions, and calculate relative closeness and sort preferences. In this study using 8 criteria and 5 alternative vendors. Research method using research and development. This method will produce a prototype. The results of the calculation of TOPSIS obtained vendor c who gets the highest score and vendor b with the lowest rank

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