scholarly journals PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN WEIGHTED PRODUCT (WP) DALAM SISTEM PENUNJANG PEMILIHAN LAPTOP TERFAVORIT MENGGUNAKAN GUI MATLAB

2018 ◽  
Vol 7 (1) ◽  
pp. 11-22
Author(s):  
Abdiel Pandapotan Manullang ◽  
Alan Prahutama ◽  
Rukun Santoso
Keyword(s):  
Selection Criteria ◽  
Random Access ◽  
Spare Parts ◽  
Access Memory ◽  
A Value ◽  
Battery Capacity ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Color Screen ◽  
Selection Of

Laptops have become an important requirement for most students is to support educational activities and business activities. The number of brands of laptops or types of laptops that exist makes consumers especially students have their own preferences in choosing a laptop. The method can be used to select the favorite laptop are SAW (Simple Additive weighting) and WP (Weighted Product). Both of these methods are the methods used to solve the problem of MADM (Multi Attribute Decision Making). There are 30 types of laptops that will be used in the selection of the favorite laptops.For the selection criteria for the type of laptop that is priced, RAM (Random Access Memory), HDD (hard drive), a processor, a VGA (Video Graphics Array), weight, color, screen size, service centers, warranty, availability of spare parts, battery capacity, equipped with OS and application software. Selection of the favorite type of laptop is done with the help of MATLAB (Graphical User Interface) GUI (Matrix Laboratory) as a computing tool. SAW method and WP, in this research showed the same results that the most favored type of laptop laptop mode DEL INSPIRON 15Z-5523 with a value preference for SAW method amounted to 0.9518 while the WP method amounted to 0.9511.Keywords: SAW, WP, Laptop, favorite, GUI 

A Selection of Bandung City Travel Route Using The FLOYD-WARSHALL Algorithm

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Route Selection ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
A Value ◽  
Distance Data ◽  
Simple Additive Weighting ◽  
The City ◽  
Selection Of

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.

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 LOGIKA FUZZY MODEL TAHANI DALAM PEMILIHAN HARDWARE KOMPUTER

2017 ◽  
Vol 6 (4) ◽  
pp. 248
Author(s):  
MOH. HERI SETIAWAN ◽  
G.K. GANDHIADI ◽  
LUH PUTU IDA HARINI
Keyword(s):  
Power Supply ◽  
Fuzzy Model ◽  
Random Access ◽  
Random Access Memory ◽  
Hard Disk ◽  
Computer Hardware ◽  
Access Memory ◽  
The Public ◽  
Fuzzy Database ◽  
Selection Of

This study to determine the selection of computer hardware using fuzzy database method. This is because of many series of hardware produced by the manufacture, so the public will be confused in determining the choice of a combination of computer assembly. In this study the processor, motherboard, random access memory, hard disk, vga cards, power supply studied to find best recommendation. The result obtained from this study these several results obtained in study in the form of recommendation, that is if the recommendation value 0 then the hardware is not displayed as a decision, whereas if the recommendation value is greater than 0 and less than or equal to 1 the device will be displayed as a decision according to the value of its recommendation.

scholarly journals Pemilihan Supplier Bahan Baku Partikel Dengan Metode AHP Dan Promethee

2017 ◽  
Vol 16 (1) ◽  
pp. 22
Author(s):  
Ratri Wulandari
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Rank Order ◽  
Geographical Location ◽  
Performance History ◽  
Delivery Performance ◽  
A Value ◽  
Promethee Method ◽  
A Company ◽  
Selection Of

The problem of choosing a supplier becomes very important to do a company to be able to meet consumer demand quickly and with quality. So far, the company has not implemented the supplier selection procedures and selection criteria not yet have a supplier. The method can be completed with the supplier selection criteria is the AHP method is used to determine the weights of criteria that have been corporations and PROMETHEE method used to determine the performance of the alternative. The purpose of this research is to identify the criteria used in the selection of a supplier company and determine the weight of these criteria and get ranked supplier to obtain the best supplier. The selected criteria in the selection of the supplier company is quality with a weight of 0.19, with a weight of 0.17 delivery, performance history with a weighting of 0.06, the price with a weighting of 0.36, communication system with a weighting of 0.06, the operating control with weights of 0.05, attitudes supplier with a weighting of 0.04 and a geographical location with a weight of 0.08 where as criteria rank order supplier is UD. TL as the first rank with a net value of flow for 0.254, UD. SD as the second rank with a value of 0.144 and a net flow PT.KTI as third with a net flow value of -0.397.

scholarly journals METODE MULTI ATTRIBUTE DECISION MAKING DENGAN MODEL SIMPLE ADDITIVE WEIGHTING SEBAGAI PENDUKUNG KEPUTUSAN PEMBERIAN PINJAMAN

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Alhibarsyah Alhibarsyah ◽  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Social Factors ◽  
Decision Models ◽  
Weighted Sum ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Selection Of

Abstract Decision support systems are used to solve a problem that is commonly done by users and industry, in this case one of the application of a decision support system in providing loans to cooperative members. Judging from the form of business, cooperatives are one of the community financial institutions that are formed and are not only business-oriented, but social factors are very strongly applied. Because the cooperative was formed to help and prosper its members, such as saving and borrowing (credit) from its members. In this study, decision making is used to help support the selection of loan applications for members. There are several types of decision models that are integrated in a Decision Support System such as statistical models, optimization models, heuristic models and multi-criteria / attribute models. The Simple Additive Weighting (SAW) method is used with the basic concept of finding the weighted sum of the performance ratings on each criterion. According to the MADM model which is used as decision support who can select criteria in determining the eligibility of members in receiving loans (credit). The system provides a solution in determining loan recommendations to prospective borrowers in cooperatives. The system is only able to represent 10 sample members as a reference in calculating credit lending.

scholarly journals Simple Additive Weighting for Decision Support Selection of Expedition Services

SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 115
Author(s):  
Suhar Janti ◽  
Mohammad Adriansyah ◽  
Ghofar Taufik
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Service Provider ◽  
Service Providers ◽  
Weighting Method ◽  
A Value ◽  
Simple Additive Weighting ◽  
Freight Forwarding ◽  
The Right ◽  
Selection Of

Freight forwarding services are increasingly developing and each delivery service provider competes to provide the best service, resulting in competition in terms of price and delivery time, in order to attract the attention of users of shipping services. The number of service providers with various types of packages offered by freight forwarding services, making users difficult in determining the right service provider. One way to overcome this problem is by the existence of a method that can provide recommendations as consideration for making appropriate decisions. This study aims to create a decision support system for the selection of goods delivery services by applying the Simple Additive Weighting method that can solve problems by comparing between shipping services. The results of this study are in the form of conclusion calculations that can be taken into consideration for decision making in choosing the most widely chosen freight forwarding services for students and getting the best results in decision making. The results of calculations using the Simple Additive Weighting method, the highest value based on time criteria is JNE YES with a value of 0.73, based on price criteria is a vehicle with a value of 0.68, based on the weight criteria is JNE YES with a value of 0.75, while based on the volume criteria the highest value is a vehicle with a value of 0.70 .

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.

Graphene band engineering for resistive random-access memory application

2020 ◽  
Vol 34 (18) ◽  
pp. 2050171
Author(s):  
Pooria Koohzadi ◽  
Mohammad Taghi Ahmadi ◽  
Javad Karamdel ◽  
Truong Khang Nguyen
Keyword(s):  
Nonvolatile Memory ◽  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Access Memory ◽  
Fundamental Study ◽  
Band Engineering ◽  
Silicon Based ◽  
State Resistance ◽  
Selection Of

Emerging memory technologies promise new memories to store more data at less cost. On the other hand, the scaling of silicon-based chips approached its physical limits. Nonvolatile memory technologies, such as resistive random-access memory (RRAM), are trying to solve this problem. The fundamental study in RRAM devices still needs to be moved further. In this regard, conduction mechanism of RRAM is focused in this study. The RRAM conductance varies considerably depending on the material used in the dielectric layer and selection of electrodes. To formulate the conductance mechanism, new materials with notable conductivity such as graphene oxide (GO) sheets has been employed by researchers. In the GO-based RRAM, pristine of GO due to the presence of sp3-hybridized oxygen functional groups(hydroxyl) leads to electrically insulating layers in the device. However, by applying the voltage, the conductive path can be formed with the redox of GO layer in to graphene. This phenomenon is known as RRAM set process which can be explained due to the conversion of sp3 to sp2 oxygen functionalities, which make the RRAM to move in to the ON state. Also, in this paper, variation of the ON state resistance by the voltage in the nondegenerate mode is described and the reset process by degeneracy variation is reported.

scholarly journals Pengujian Tingkat Reliabilitas Metode Weight Aggregated Sum Product Assessment Menggunakan Pearson Correlation

2021 ◽  
Vol 7 (2) ◽  
pp. 164-170
Author(s):  
Hidayanti Murtina ◽  
Nunung Hidayatun ◽  
Susafaati Susafaati
Keyword(s):  
Junior High School ◽  
Pearson Correlation ◽  
Exemplary Teachers ◽  
Subjective Assessment ◽  
Teacher Assessment ◽  
Product Model ◽  
A Value ◽  
Multi Attribute Decision Making ◽  
Product Assessment ◽  
Selection Of

Teacher assessment activities are common activities carried out. Evaluation of exemplary teachers is one of the activities held every year in schools, especially at PGRI Babelan Junior High School. The selection of exemplary teachers carried out by SMP PGRI Babelan must be as minimum as possible free from things that can damage the results such as conducting a subjective assessment, therefore the author conducted research using one of the multi attribute decision making methods, namely the Weight Aggregated Sum Product Assessment (WASPAS) method. . The criteria used in the selection of exemplary teachers at SMP PGRI Babelan include Ethics, Methods and Didactics, Responsibility, Credibility, Absence with the stages of the Weight Aggregated Sum Product Assessment (WASPAS) method itself consisting of matrix normalization stages, searching for the value of Qi (1) namely the value of the Weighted Sum Model (WSM), the search for the value of Qi (2), namely the value of the Weighted Product Model (WPM) and the stages of the Weight Aggregated Sum Product Assessment (WASPAS) method itself so that it is found that the 6th alternative is the teacher most recommended by the method. Weight Aggregated Sum Product Assessment (WASPAS) with a value of 0.9860 followed by the 1st alternative with a value of 0.8907 and re-tested the level of reliability using Pearson Correlation

scholarly journals IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019)

2019 ◽  
Vol 8 (4) ◽  
pp. 428-438
Author(s):  
Eva Salsa Nabila ◽  
Rita Rahmawati ◽  
Tatik Widiharih
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Selection Process ◽  
Rank Order ◽  
Average Percentage ◽  
New Students ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Academic Potential ◽  
Selection Of

Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the  weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method.                                                   Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.

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